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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
33c551e3be13713e0d89ec3534e197be874ca137 | 6,904 | py | Python | scratchwork/subject_verb_object_extract_test.py | mathurma/KGQA | 967cd851f84c73f284aee5fe94f8a3df66d5b638 | [
"CC0-1.0"
] | null | null | null | scratchwork/subject_verb_object_extract_test.py | mathurma/KGQA | 967cd851f84c73f284aee5fe94f8a3df66d5b638 | [
"CC0-1.0"
] | null | null | null | scratchwork/subject_verb_object_extract_test.py | mathurma/KGQA | 967cd851f84c73f284aee5fe94f8a3df66d5b638 | [
"CC0-1.0"
] | null | null | null | import unittest
from subject_verb_object_extract import findSVOs, printDeps, nlp
# test the subject/verb/object_extraction
class SubjectVerbOjectExtractTest(unittest.TestCase):
def __init__(self, methodName: str):
unittest.TestCase.__init__(self, methodName)
# test
def test_svo_1(self):
... | 41.095238 | 185 | 0.551419 |
33c55acea8c81452bcccc706d9a5992ed7e9d61f | 2,403 | py | Python | data_plotter.py | i026e/python_ecg_graph | ed769f0fc49f2ee354350bf27f6d1e440bd3ab66 | [
"MIT"
] | null | null | null | data_plotter.py | i026e/python_ecg_graph | ed769f0fc49f2ee354350bf27f6d1e440bd3ab66 | [
"MIT"
] | null | null | null | data_plotter.py | i026e/python_ecg_graph | ed769f0fc49f2ee354350bf27f6d1e440bd3ab66 | [
"MIT"
] | 1 | 2021-03-12T20:14:36.000Z | 2021-03-12T20:14:36.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 28 09:28:11 2016
@author: pavel
"""
import global_settings as settings
import parameter_types as prm
class PlotterSettingsManager(prm.ParameterManager):
COLOR_NAME_V = "color A" # for correct values
COLOR_NAME_E = "color B" # for wrong value... | 35.338235 | 87 | 0.623387 |
33c56a0230f9c19eaffc71358f5af1777ca66ed0 | 899 | py | Python | leetcode/medium/220-Contains_duplicate_II.py | shubhamoli/practice | 5a24fdeb6e5f43b821ef0510fe3b343ddda18f22 | [
"MIT"
] | 1 | 2020-02-25T10:32:27.000Z | 2020-02-25T10:32:27.000Z | leetcode/medium/220-Contains_duplicate_II.py | shubhamoli/practice | 5a24fdeb6e5f43b821ef0510fe3b343ddda18f22 | [
"MIT"
] | null | null | null | leetcode/medium/220-Contains_duplicate_II.py | shubhamoli/practice | 5a24fdeb6e5f43b821ef0510fe3b343ddda18f22 | [
"MIT"
] | null | null | null | """
Leetcode #220
"""
from typing import List
class Solution:
def containsNearbyAlmostDuplicate_BF(self, nums: List[int], k: int, t: int) -> bool:
if not nums:
return False
# if target is 0 and array contains no duplicates
# this is not possible, as (dup1 - dup2 == 0)
... | 24.972222 | 88 | 0.565072 |
33c5b0438cb2127f1b2d6f6287b1a78afa31b247 | 5,097 | py | Python | hyperts/hyper_ts.py | oaksharks/HyperTS | cecb38f3ce3c8b0ff9ead82670447457f6de6c56 | [
"Apache-2.0"
] | null | null | null | hyperts/hyper_ts.py | oaksharks/HyperTS | cecb38f3ce3c8b0ff9ead82670447457f6de6c56 | [
"Apache-2.0"
] | 1 | 2021-12-08T02:08:58.000Z | 2021-12-08T02:08:58.000Z | hyperts/hyper_ts.py | newbei/HyperTS | cecb38f3ce3c8b0ff9ead82670447457f6de6c56 | [
"Apache-2.0"
] | 1 | 2021-12-07T01:32:44.000Z | 2021-12-07T01:32:44.000Z | # -*- coding:utf-8 -*-
"""
"""
import pickle
import numpy as np
from sklearn import metrics as sk_metrics
from hypernets.dispatchers.in_process_dispatcher import InProcessDispatcher
from hypernets.model.estimator import Estimator
from hypernets.model.hyper_model import HyperModel
from hypernets.utils imp... | 39.207692 | 153 | 0.655287 |
33c5cb90628a65f21f565c26193af19965e44d80 | 1,296 | py | Python | test/dom/test_entity.py | jkloth/pyxml | de15b3ad0fe095f6ce36b1c5ad7438046aae8d3d | [
"MIT"
] | 2 | 2018-05-28T23:01:20.000Z | 2018-05-29T03:59:38.000Z | test/dom/test_entity.py | jkloth/pyxml | de15b3ad0fe095f6ce36b1c5ad7438046aae8d3d | [
"MIT"
] | null | null | null | test/dom/test_entity.py | jkloth/pyxml | de15b3ad0fe095f6ce36b1c5ad7438046aae8d3d | [
"MIT"
] | null | null | null | from TestSuite import EMPTY_NAMESPACE
def test(tester):
tester.startGroup('Entity')
tester.startTest('Testing syntax')
try:
from xml.dom import Entity
from xml.dom.Entity import Entity
except:
tester.error('Error in syntax', 1)
tester.testDone()
tester.startTest('Crea... | 24.923077 | 73 | 0.662037 |
33c628f746e15bbba163772ff4fb4124d48b52bd | 865 | py | Python | solutions_automation/threebot/change_location.py | threefoldtech/js-sdk | 811f783ac34a60225175bab2d806802a87b9d5c7 | [
"Apache-2.0"
] | 13 | 2020-09-02T09:05:08.000Z | 2022-03-12T02:43:24.000Z | solutions_automation/threebot/change_location.py | threefoldtech/js-sdk | 811f783ac34a60225175bab2d806802a87b9d5c7 | [
"Apache-2.0"
] | 1,998 | 2020-06-15T11:46:10.000Z | 2022-03-24T22:12:41.000Z | solutions_automation/threebot/change_location.py | threefoldtech/js-sdk | 811f783ac34a60225175bab2d806802a87b9d5c7 | [
"Apache-2.0"
] | 8 | 2020-09-29T06:50:35.000Z | 2021-06-14T03:30:52.000Z | from textwrap import dedent
from jumpscale.packages.threebot_deployer.chats.change_location import ThreebotRedeploy
from solutions_automation.utils.gedispatch import GedisChatBotPatch
class ThreebotChangeLocation(GedisChatBotPatch, ThreebotRedeploy):
PASSWORD = "Please enter the 3Bot password."
NODE_POLICY =... | 34.6 | 87 | 0.695954 |
33c6290a78f408615015ce2ae86fb8464781f4ac | 23,391 | py | Python | Web/Python/launcher.py | OpenGeoscience/VTK | a373e975b9284a022f43a062ebf5042bb17b4e44 | [
"BSD-3-Clause"
] | null | null | null | Web/Python/launcher.py | OpenGeoscience/VTK | a373e975b9284a022f43a062ebf5042bb17b4e44 | [
"BSD-3-Clause"
] | null | null | null | Web/Python/launcher.py | OpenGeoscience/VTK | a373e975b9284a022f43a062ebf5042bb17b4e44 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
import json
import logging
import os
import string
import subprocess
import sys
import time
import uuid
from random import choice
from twisted.internet import reactor, defer
from twisted.internet.task import deferLater
from twisted.internet.defer import CancelledError
from twisted.python import... | 36.434579 | 156 | 0.529477 |
33c6342599f4e515b494401f1475f5570baaac9c | 682 | py | Python | PyXAB/synthetic_obj/Garland.py | WilliamLwj/PyXAB | a95c713090fe875bc557bc7b0e11ab000a921407 | [
"MIT"
] | null | null | null | PyXAB/synthetic_obj/Garland.py | WilliamLwj/PyXAB | a95c713090fe875bc557bc7b0e11ab000a921407 | [
"MIT"
] | null | null | null | PyXAB/synthetic_obj/Garland.py | WilliamLwj/PyXAB | a95c713090fe875bc557bc7b0e11ab000a921407 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Implmentation of Garland
"""
# Author: Wenjie Li <li3549@purdue.edu>
# License: MIT
import numpy as np
from PyXAB.synthetic_obj.Objective import Objective
class Garland(Objective):
def __init__(self):
self.fmax = 1
def f(self, x):
x = x[0]
return x * (1-... | 16.634146 | 79 | 0.589443 |
33c649c145801f19c277f236b94b4f80fc1c0bb1 | 2,003 | py | Python | properconf/defaults.py | jpsca/properconf | ff1d1b11110bbc56b1507d204c1b61ef827ad83b | [
"MIT"
] | 2 | 2020-09-30T22:41:04.000Z | 2020-12-30T12:43:49.000Z | properconf/defaults.py | jpsca/properconf | ff1d1b11110bbc56b1507d204c1b61ef827ad83b | [
"MIT"
] | null | null | null | properconf/defaults.py | jpsca/properconf | ff1d1b11110bbc56b1507d204c1b61ef827ad83b | [
"MIT"
] | null | null | null | DEFAULT_SECRETS = """# -------------------------------------------------------------------
# This is an encrypted config file in YAML language
# (https://en.wikipedia.org/wiki/YAML)
#
# Your can safely store here credentials like API keys and such,
# and commit this file to your source version control system.
# -------... | 21.537634 | 93 | 0.582127 |
33c66682c73008de67b5d3bbde9a2fc00a9a590e | 561 | py | Python | notebooks/laff/util/onev.py | vishwesh5/Linear-Algebra---LAFF | 8d8e711628ff99c544b01c93072f35bf6cb06d1e | [
"MIT"
] | 1 | 2019-12-27T21:12:29.000Z | 2019-12-27T21:12:29.000Z | notebooks/laff/util/onev.py | vishwesh5/Linear-Algebra---LAFF | 8d8e711628ff99c544b01c93072f35bf6cb06d1e | [
"MIT"
] | null | null | null | notebooks/laff/util/onev.py | vishwesh5/Linear-Algebra---LAFF | 8d8e711628ff99c544b01c93072f35bf6cb06d1e | [
"MIT"
] | null | null | null | from numpy import matrix
from numpy import shape
def onev(x):
"""
Set all components of x to one
x can be a row and/or column vectors.
"""
assert type(x) is matrix and len(x.shape) is 2, \
"laff.onev: vector x must be a 2D numpy.matrix"
m_x, n_x = x.shape
asser... | 23.375 | 63 | 0.534759 |
33c67d811d10da66b67447bf35ddf61ea9bfb927 | 22,576 | py | Python | models/cite/TextANN/train.py | DeepWTO/deepwto-draft | c61dc02e4ce3e72e8423c712ddc5483f851443f5 | [
"Apache-2.0"
] | 34 | 2019-02-04T14:57:08.000Z | 2022-02-07T13:32:35.000Z | models/cite/TextANN/train.py | syyunn/DeepWTO | 0e9f206ec2ce24b1afdf895bc81509dd84235b82 | [
"Apache-2.0"
] | 3 | 2020-03-02T05:06:24.000Z | 2020-03-06T08:39:18.000Z | models/cite/TextANN/train.py | DeepWTO/deepwto-draft | c61dc02e4ce3e72e8423c712ddc5483f851443f5 | [
"Apache-2.0"
] | 4 | 2020-02-17T04:17:12.000Z | 2022-02-07T14:27:01.000Z |
# -*- coding:utf-8 -*-
__author__ = 'Randolph'
import os
import sys
import time
import logging
import numpy as np
import tensorflow as tf
from tensorboard.plugins import projector
from models.citability.TextANN.model import TextANN
from utils import checkpoints
from utils import feed
from sklearn.metrics import prec... | 44.793651 | 80 | 0.498538 |
33c67e3fc77f34e48a1c2643d34d98ad65c3c1e5 | 31 | py | Python | marvelapiwrapper/__init__.py | thendo-rambs/marvelapi | 0b63fb560e89e88d15e6fbb2b2b54db8ee6a9921 | [
"MIT"
] | null | null | null | marvelapiwrapper/__init__.py | thendo-rambs/marvelapi | 0b63fb560e89e88d15e6fbb2b2b54db8ee6a9921 | [
"MIT"
] | null | null | null | marvelapiwrapper/__init__.py | thendo-rambs/marvelapi | 0b63fb560e89e88d15e6fbb2b2b54db8ee6a9921 | [
"MIT"
] | null | null | null | from .marvel import MarvelAPI
| 15.5 | 30 | 0.806452 |
33c6944fb6b8415fd7347a03387bfdb5b8a8cc97 | 495 | py | Python | src/flamingo_api_server/pandas_patch.py | OasisLMF/OasisUI_SQL | efd0ff4ed19a54c8a819cf92188494795e4d2bd6 | [
"BSD-3-Clause"
] | null | null | null | src/flamingo_api_server/pandas_patch.py | OasisLMF/OasisUI_SQL | efd0ff4ed19a54c8a819cf92188494795e4d2bd6 | [
"BSD-3-Clause"
] | null | null | null | src/flamingo_api_server/pandas_patch.py | OasisLMF/OasisUI_SQL | efd0ff4ed19a54c8a819cf92188494795e4d2bd6 | [
"BSD-3-Clause"
] | null | null | null | # Solving memory leak problem in pandas
# https://github.com/pandas-dev/pandas/issues/2659#issuecomment-12021083
import pandas as pd
from ctypes import cdll, CDLL
try:
cdll.LoadLibrary("libc.so.6")
libc = CDLL("libc.so.6")
libc.malloc_trim(0)
except (OSError, AttributeError):
libc = None
__old_del = ge... | 20.625 | 72 | 0.705051 |
33c6a839f562ad209d3cc97eebadd6f3fc5838f8 | 510 | py | Python | pages/migrations/0007_searchbarinfotext_with_highlight.py | moonbirddk/networked-toolbox | b059b77bfda173794b3cad55874cb06edc70d0e1 | [
"BSD-2-Clause-FreeBSD"
] | 2 | 2016-09-02T12:45:31.000Z | 2018-02-10T10:18:11.000Z | pages/migrations/0007_searchbarinfotext_with_highlight.py | Socialsquare/networked-toolbox | b059b77bfda173794b3cad55874cb06edc70d0e1 | [
"BSD-2-Clause-FreeBSD"
] | 17 | 2020-03-24T15:58:05.000Z | 2022-02-10T08:08:57.000Z | pages/migrations/0007_searchbarinfotext_with_highlight.py | moonbirddk/networked-toolbox | b059b77bfda173794b3cad55874cb06edc70d0e1 | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2018-01-05T08:02:18.000Z | 2018-01-05T08:02:18.000Z | # Generated by Django 2.2.3 on 2019-10-02 12:49
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('pages', '0006_make_default_searchtext'),
]
operations = [
migrations.AddField(
model_name='searchbarinfotext',
name=... | 26.842105 | 154 | 0.65098 |
33c6af2af2e1169a8e857e5394c3bfe83531357d | 1,711 | py | Python | thingflow/filters/dispatch.py | kesking82/thingflow-python | 4c00deafd1bf425ec90ef2159fc5f3ea2553ade8 | [
"Apache-2.0"
] | 38 | 2017-04-25T12:24:56.000Z | 2021-01-12T17:01:43.000Z | thingflow/filters/dispatch.py | kesking82/thingflow-python | 4c00deafd1bf425ec90ef2159fc5f3ea2553ade8 | [
"Apache-2.0"
] | 4 | 2017-08-04T22:39:15.000Z | 2017-08-07T17:36:21.000Z | thingflow/filters/dispatch.py | kesking82/thingflow-python | 4c00deafd1bf425ec90ef2159fc5f3ea2553ade8 | [
"Apache-2.0"
] | 14 | 2017-07-31T21:25:29.000Z | 2022-02-06T08:09:07.000Z | # Copyright 2016 by MPI-SWS and Data-Ken Research.
# Licensed under the Apache 2.0 License.
from thingflow.base import OutputThing, InputThing, filtermethod
class Dispatcher(OutputThing, InputThing):
"""Dispatch rules are a list of (predicate, port) pairs. See the
documentation on the dispatch() extension me... | 34.918367 | 76 | 0.670368 |
33c6c2e95de483502b30a7a06a5f11515e5932ad | 473 | py | Python | examples/one/histology/get_probe_trajectory.py | int-brain-lab/ibllib | 93be6b98848758e05cdc9398caaf19e6a68f7386 | [
"MIT"
] | 38 | 2018-08-07T21:55:29.000Z | 2022-03-21T14:49:03.000Z | examples/one/histology/get_probe_trajectory.py | int-brain-lab/ibllib | 93be6b98848758e05cdc9398caaf19e6a68f7386 | [
"MIT"
] | 207 | 2018-07-25T15:10:48.000Z | 2022-03-08T13:23:08.000Z | examples/one/histology/get_probe_trajectory.py | int-brain-lab/ibllib | 93be6b98848758e05cdc9398caaf19e6a68f7386 | [
"MIT"
] | 35 | 2018-09-04T14:49:56.000Z | 2022-01-06T21:17:51.000Z | """
Get all probe trajectory, or filter by provenance, for a given session eID.
"""
# Author: Olivier Winter
from one.api import ONE
one = ONE()
eid = 'dda5fc59-f09a-4256-9fb5-66c67667a466'
# Get all trajectories for the session
trajs = one.alyx.rest('trajectories', 'list', session=eid)
del trajs
# Filter by prove... | 22.52381 | 90 | 0.735729 |
33c6c954b78080d73417ab31876fcc4038f5a88a | 15,871 | py | Python | HDF4_H5_NETCDF/source2.7/Cython/Compiler/Options.py | Con-Mi/lambda-packs | b23a8464abdd88050b83310e1d0e99c54dac28ab | [
"MIT"
] | 5 | 2018-07-02T19:10:39.000Z | 2021-09-27T04:05:10.000Z | HDF4_H5_NETCDF/source2.7/Cython/Compiler/Options.py | Con-Mi/lambda-packs | b23a8464abdd88050b83310e1d0e99c54dac28ab | [
"MIT"
] | 3 | 2018-06-10T06:28:06.000Z | 2021-09-24T13:54:19.000Z | HDF4_H5_NETCDF/source2.7/Cython/Compiler/Options.py | Con-Mi/lambda-packs | b23a8464abdd88050b83310e1d0e99c54dac28ab | [
"MIT"
] | 1 | 2021-09-23T13:43:07.000Z | 2021-09-23T13:43:07.000Z | #
# Cython - Compilation-wide options and pragma declarations
#
from __future__ import absolute_import
class ShouldBeFromDirective(object):
known_directives = []
def __init__(self, options_name, directive_name=None, disallow=False):
self.options_name = options_name
self.directive_name = dir... | 35.745495 | 124 | 0.670468 |
33c6c99177c74992d1c8053b38c8e69936155659 | 1,836 | py | Python | examples/cs106a/2-simplepython/graphical/pyramid.py | TristenSeth/campy | 9e726c342d682239e1c19e6f5645c0b2167d7fab | [
"MIT"
] | 5 | 2018-12-03T19:18:50.000Z | 2021-05-31T07:17:06.000Z | examples/cs106a/2-simplepython/graphical/pyramid.py | TristenSeth/campy | 9e726c342d682239e1c19e6f5645c0b2167d7fab | [
"MIT"
] | 1 | 2020-02-13T20:56:05.000Z | 2020-02-19T18:32:56.000Z | examples/cs106a/2-simplepython/graphical/pyramid.py | TristenSeth/campy | 9e726c342d682239e1c19e6f5645c0b2167d7fab | [
"MIT"
] | 1 | 2017-06-06T07:29:07.000Z | 2017-06-06T07:29:07.000Z | #!/usr/bin/env python
"""CS106A Assignment 2 Example: Pyramid
This program draw a pyramid consisting of bricks arranged in horizontal rows.
"""
from campy.graphics.gwindow import GWindow
from campy.graphics.gobjects import GRect
# Width of each brick (in pixels).
BRICK_WIDTH = 60
# Height of each brick (in pixels).
... | 28.6875 | 79 | 0.684096 |
33c73c52631a09ea0fefdeb9467991ae9c04321c | 723 | py | Python | python/paddle/v2/framework/tests/test_scatter_op.py | AI-books/Paddle | 5b5f4f514047975ac09ec42b31e46dabf235e7dd | [
"Apache-2.0"
] | null | null | null | python/paddle/v2/framework/tests/test_scatter_op.py | AI-books/Paddle | 5b5f4f514047975ac09ec42b31e46dabf235e7dd | [
"Apache-2.0"
] | null | null | null | python/paddle/v2/framework/tests/test_scatter_op.py | AI-books/Paddle | 5b5f4f514047975ac09ec42b31e46dabf235e7dd | [
"Apache-2.0"
] | 1 | 2020-06-04T04:27:15.000Z | 2020-06-04T04:27:15.000Z | import unittest
import numpy as np
from op_test import OpTest
class TestScatterOp(OpTest):
def setUp(self):
self.op_type = "scatter"
ref_np = np.ones((3, 3)).astype("float32")
index_np = np.array([1, 2]).astype("int32")
updates_np = np.random.random((2, 3)).astype("float32")
... | 27.807692 | 79 | 0.62379 |
33c760e8cf656c1c3fa85154e8b99eb3805226ec | 43,828 | py | Python | tests/test_schema_dict_util.py | soumyajyotih/masci-tools | e4d9ea2fbf6e16378d0cbfb8828a11bdb09c2139 | [
"MIT"
] | null | null | null | tests/test_schema_dict_util.py | soumyajyotih/masci-tools | e4d9ea2fbf6e16378d0cbfb8828a11bdb09c2139 | [
"MIT"
] | null | null | null | tests/test_schema_dict_util.py | soumyajyotih/masci-tools | e4d9ea2fbf6e16378d0cbfb8828a11bdb09c2139 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Test of the utility functions for the schema dictionaries
both path finding and easy information extraction
"""
import pytest
import os
import numpy as np
from masci_tools.io.parsers.fleur.fleur_schema import InputSchemaDict, OutputSchemaDict
from masci_tools.util.constants import FLEUR_DEFI... | 43.180296 | 120 | 0.658848 |
33c7627aa145c96f14c2ef02714e512c51e9647c | 3,936 | py | Python | acl_version/src/reflection_based_transfer/train.py | ahclab/reflection | d09fd500e9ff74211e1eb15711d479bb204c7a83 | [
"MIT"
] | 4 | 2020-07-14T10:36:30.000Z | 2021-04-22T04:20:42.000Z | acl_version/src/reflection_based_transfer/train.py | ahclab/reflection | d09fd500e9ff74211e1eb15711d479bb204c7a83 | [
"MIT"
] | null | null | null | acl_version/src/reflection_based_transfer/train.py | ahclab/reflection | d09fd500e9ff74211e1eb15711d479bb204c7a83 | [
"MIT"
] | 2 | 2021-02-25T09:19:13.000Z | 2021-08-18T09:16:29.000Z | import numpy
import argparse
import os
import json
import chainer
from chainer import training
from chainer.training import extensions
from chainer import serializers
from chainer import Variable
# Reset numpy / cupy seed
def reset_seed(seed):
#random.seed(seed)
numpy.random.seed(seed)
if chainer.cuda.av... | 33.355932 | 129 | 0.641514 |
33c76e3cc5fee56267aed217f9732a41dc0ecea1 | 5,939 | py | Python | ingestion/functions/parsing/hongkong/hongkong.py | open-covid-data/healthmap-gdo-temp | 5af5c9e2f7dcefa9039dc6b3a2e2c5094566fc2e | [
"MIT"
] | 5 | 2020-04-16T13:54:24.000Z | 2020-07-06T13:42:10.000Z | ingestion/functions/parsing/hongkong/hongkong.py | open-covid-data/healthmap-gdo-temp | 5af5c9e2f7dcefa9039dc6b3a2e2c5094566fc2e | [
"MIT"
] | 487 | 2020-04-16T00:56:09.000Z | 2020-07-27T09:09:29.000Z | ingestion/functions/parsing/hongkong/hongkong.py | open-covid-data/healthmap-gdo-temp | 5af5c9e2f7dcefa9039dc6b3a2e2c5094566fc2e | [
"MIT"
] | null | null | null | import json
import os
import sys
from datetime import datetime
import csv
import common.ingestion_logging as logging
# Layer code, like parsing_lib, is added to the path by AWS.
# To test locally (e.g. via pytest), we have to modify sys.path.
# pylint: disable=import-error
try:
import parsing_lib
except ImportErro... | 32.102703 | 128 | 0.526856 |
33c77b0acd8a36dd80ab300556081d4eb1f2e6e8 | 3,694 | py | Python | experiments/ashvin/icml2020/hand/door/sparse/bc_sweep2.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | experiments/ashvin/icml2020/hand/door/sparse/bc_sweep2.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | experiments/ashvin/icml2020/hand/door/sparse/bc_sweep2.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | """
AWR + SAC from demo experiment
"""
from rlkit.demos.source.dict_to_mdp_stacked_path_loader import DictToMDPStackedPathLoader
from rlkit.launchers.experiments.awac.awac_rl import experiment
import rlkit.misc.hyperparameter as hyp
from rlkit.launchers.arglauncher import run_variants
from rlkit.torch.sac.policies i... | 30.03252 | 89 | 0.566053 |
33c78339493fe87cac8c937ee6d2be5c87a864a5 | 20,290 | py | Python | utils/model/gen_uml.py | MarianelaSena/gaphor | f1ccc2e2ae98d7fad54f6dd9271e8e10fbb2e324 | [
"Apache-2.0"
] | null | null | null | utils/model/gen_uml.py | MarianelaSena/gaphor | f1ccc2e2ae98d7fad54f6dd9271e8e10fbb2e324 | [
"Apache-2.0"
] | null | null | null | utils/model/gen_uml.py | MarianelaSena/gaphor | f1ccc2e2ae98d7fad54f6dd9271e8e10fbb2e324 | [
"Apache-2.0"
] | null | null | null | """The Gaphor code generator.
This file provides the code generator which transforms gaphor/UML/uml2.gaphor
into gaphor/UML/uml2.py. Also a distutils tool, build_uml, is provided.
Create a UML 2.0 datamodel from the Gaphor model file.
To do this we do the following:
1. read the model file with the gaphor parser
2. C... | 34.215852 | 102 | 0.545343 |
33c7e0a43032ebb985cbddeb1eff5e3c4abe9089 | 4,765 | py | Python | lib-other/pylib/consensus/custommath.py | endolith/Truthcoin | 448b35fb94f27e61f5989ead7ef87e03da2e9237 | [
"MIT"
] | 161 | 2015-01-11T20:52:37.000Z | 2022-02-14T04:44:13.000Z | lib-other/pylib/consensus/custommath.py | endolith/Truthcoin | 448b35fb94f27e61f5989ead7ef87e03da2e9237 | [
"MIT"
] | 3 | 2016-04-21T10:17:06.000Z | 2022-01-09T14:38:06.000Z | lib-other/pylib/consensus/custommath.py | endolith/Truthcoin | 448b35fb94f27e61f5989ead7ef87e03da2e9237 | [
"MIT"
] | 40 | 2015-01-19T16:44:14.000Z | 2022-01-09T14:09:49.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Supporting math for the consensus mechanism.
"""
from __future__ import division
from numpy import *
from numpy.linalg import *
def WeightedMedian(data, weights):
"""Calculate a weighted median.
Args:
data (list or numpy.array): data
weights (list... | 31.766667 | 160 | 0.628541 |
33c7e603a7453d5a45739936b685a0f39abf7cd5 | 660 | py | Python | moto/kinesisvideo/exceptions.py | pgajdos/moto | 9ec0ab45721bbc2f3770c38654d65faa6f562f77 | [
"Apache-2.0"
] | null | null | null | moto/kinesisvideo/exceptions.py | pgajdos/moto | 9ec0ab45721bbc2f3770c38654d65faa6f562f77 | [
"Apache-2.0"
] | null | null | null | moto/kinesisvideo/exceptions.py | pgajdos/moto | 9ec0ab45721bbc2f3770c38654d65faa6f562f77 | [
"Apache-2.0"
] | null | null | null | from __future__ import unicode_literals
from moto.core.exceptions import RESTError
class KinesisvideoClientError(RESTError):
code = 400
class ResourceNotFoundException(KinesisvideoClientError):
def __init__(self):
self.code = 404
super(ResourceNotFoundException, self).__init__(
... | 25.384615 | 63 | 0.686364 |
33c80ee485279f109b52193352466bbb39ad087d | 3,057 | py | Python | setup.py | fpcasale/limix | a6bc2850f243fe779991bb53a24ddbebe0ab74d2 | [
"Apache-2.0"
] | null | null | null | setup.py | fpcasale/limix | a6bc2850f243fe779991bb53a24ddbebe0ab74d2 | [
"Apache-2.0"
] | null | null | null | setup.py | fpcasale/limix | a6bc2850f243fe779991bb53a24ddbebe0ab74d2 | [
"Apache-2.0"
] | null | null | null | from __future__ import unicode_literals
import os
import sys
from setuptools import find_packages, setup
try:
import pypandoc
long_description = pypandoc.convert_file("README.md", "rst")
except (OSError, IOError, ImportError):
long_description = open("README.md").read()
def setup_package():
src_pa... | 31.84375 | 72 | 0.630029 |
33c82e3fab66a7c45f4c6c5feff3ab99fc522a4b | 538 | py | Python | invenio_jsonschemas/proxies.py | cernanalysispreservation/invenio-jsonschemas | 5eccecbbdb55ee9407008ecece79b3841c7ee42f | [
"MIT"
] | null | null | null | invenio_jsonschemas/proxies.py | cernanalysispreservation/invenio-jsonschemas | 5eccecbbdb55ee9407008ecece79b3841c7ee42f | [
"MIT"
] | null | null | null | invenio_jsonschemas/proxies.py | cernanalysispreservation/invenio-jsonschemas | 5eccecbbdb55ee9407008ecece79b3841c7ee42f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# This file is part of Invenio.
# Copyright (C) 2017-2018 CERN.
#
# Invenio is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""Helper proxy to the state object."""
from __future__ import absolute_import, prin... | 26.9 | 72 | 0.750929 |
33c85174f8a28ccf79f91430b154ac45da33dfe3 | 30,608 | py | Python | pywick/models/classification/nasnet_mobile.py | ashishpatel26/pywick | 1afffd1c21c2b188836d3599e802146182757bb5 | [
"MIT"
] | 2 | 2020-11-28T07:56:09.000Z | 2021-11-08T09:30:39.000Z | pywick/models/classification/nasnet_mobile.py | ashishpatel26/pywick | 1afffd1c21c2b188836d3599e802146182757bb5 | [
"MIT"
] | null | null | null | pywick/models/classification/nasnet_mobile.py | ashishpatel26/pywick | 1afffd1c21c2b188836d3599e802146182757bb5 | [
"MIT"
] | null | null | null | # Source: https://github.com/Cadene/pretrained-models.pytorch/blob/master/pretrainedmodels/models/nasnet_mobile.py (License: BSD-3-Clause)
"""
NASNet Mobile following the paper:
`Learning Transferable Architectures for Scalable Image Recognition <https://arxiv.org/abs/1707.07012>`_
"""
# Thanks to Anastasiia (https:/... | 46.944785 | 138 | 0.673713 |
33c8706f8418fd26edc99f3eae31d6f6fca7c23e | 1,789 | py | Python | appengine/monorail/services/test/service_manager_test.py | allaparthi/monorail | e18645fc1b952a5a6ff5f06e0c740d75f1904473 | [
"BSD-3-Clause"
] | 2 | 2021-04-13T21:22:18.000Z | 2021-09-07T02:11:57.000Z | appengine/monorail/services/test/service_manager_test.py | allaparthi/monorail | e18645fc1b952a5a6ff5f06e0c740d75f1904473 | [
"BSD-3-Clause"
] | 21 | 2020-09-06T02:41:05.000Z | 2022-03-02T04:40:01.000Z | appengine/monorail/services/test/service_manager_test.py | allaparthi/monorail | e18645fc1b952a5a6ff5f06e0c740d75f1904473 | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2016 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file or at
# https://developers.google.com/open-source/licenses/bsd
"""Tests for the service_manager module."""
from __future__ import print_function
from __future... | 39.755556 | 76 | 0.818334 |
33c87d04356af74c4a413bcbfc8be82187e0f4e9 | 1,989 | py | Python | thucvat/urls.py | alibaba1233456789/hieu_nguyen123 | 19728f33eae02cfdaa4d9190d9d3053d4267b992 | [
"MIT"
] | null | null | null | thucvat/urls.py | alibaba1233456789/hieu_nguyen123 | 19728f33eae02cfdaa4d9190d9d3053d4267b992 | [
"MIT"
] | null | null | null | thucvat/urls.py | alibaba1233456789/hieu_nguyen123 | 19728f33eae02cfdaa4d9190d9d3053d4267b992 | [
"MIT"
] | null | null | null | """thucvat URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based... | 42.319149 | 82 | 0.706385 |
33c896e298d79bbd19efa3f04edd11b852097f58 | 4,037 | py | Python | cloudcix_metrics/metrics.py | CloudCIX/metrics_cloudcix | 4ce4cac2c90e920e5f745bbcf33d54efd34b6b67 | [
"Apache-2.0"
] | null | null | null | cloudcix_metrics/metrics.py | CloudCIX/metrics_cloudcix | 4ce4cac2c90e920e5f745bbcf33d54efd34b6b67 | [
"Apache-2.0"
] | null | null | null | cloudcix_metrics/metrics.py | CloudCIX/metrics_cloudcix | 4ce4cac2c90e920e5f745bbcf33d54efd34b6b67 | [
"Apache-2.0"
] | null | null | null | # python
import atexit
import logging
import subprocess
import urllib3
from collections import namedtuple
from datetime import datetime
from multiprocessing.dummy import Pool as ThreadPool
from typing import List, Dict, Callable, Optional, Any
# libs
import influxdb
from cloudcix.conf import settings
# Suppress Insec... | 30.816794 | 119 | 0.680951 |
33c8bb4f34f3bc3a42b293545fb6ba650dc84931 | 7,551 | py | Python | stage_2_semantic/not_used/utils_cos_onefile.py | grtzsohalf/Audio-Phonetic-and-Semantic-Embedding | 1207cb61ec4587f38817b030a1e92cb315ebd178 | [
"MIT"
] | 2 | 2019-08-09T00:49:25.000Z | 2019-09-30T06:37:07.000Z | stage_2_semantic/not_used/utils_cos_onefile.py | grtzsohalf/Audio-Phonetic-and-Semantic-Embedding | 1207cb61ec4587f38817b030a1e92cb315ebd178 | [
"MIT"
] | null | null | null | stage_2_semantic/not_used/utils_cos_onefile.py | grtzsohalf/Audio-Phonetic-and-Semantic-Embedding | 1207cb61ec4587f38817b030a1e92cb315ebd178 | [
"MIT"
] | null | null | null | import argparse
import os
import sys
import random
import numpy as np
import time
from tqdm import tqdm
from collections import Counter
import math
def load_centroids(data_file):
centroids = []
count = 0
with open(data_file, 'r') as fin:
for line in fin:
line = line[:-1].split()
... | 35.450704 | 117 | 0.540988 |
33c8c2853cd5347e0760cf44d956f4c1ceb6dc55 | 557 | py | Python | pennsieve/__init__.py | Pennsieve/pennsieve-python | 3fa97ed72dcb0ca96958534ac2f7e25631f43ef2 | [
"Apache-2.0"
] | 2 | 2021-05-27T00:22:01.000Z | 2021-12-04T17:17:16.000Z | pennsieve/__init__.py | Pennsieve/pennsieve-python | 3fa97ed72dcb0ca96958534ac2f7e25631f43ef2 | [
"Apache-2.0"
] | 5 | 2021-03-29T12:16:06.000Z | 2021-04-30T21:42:21.000Z | pennsieve/__init__.py | Pennsieve/pennsieve-python | 3fa97ed72dcb0ca96958534ac2f7e25631f43ef2 | [
"Apache-2.0"
] | null | null | null | from .client import Pennsieve
from .config import DEFAULTS as DEFAULT_SETTINGS
from .config import Settings
from .models import (
BaseNode,
Collection,
DataPackage,
Dataset,
File,
LinkedModelProperty,
Model,
ModelFilter,
ModelJoin,
ModelProperty,
ModelSelect,
ModelTemplat... | 17.967742 | 48 | 0.691203 |
33c9177a484b9861165763e7b99f502a37e3c3e6 | 12,226 | py | Python | src/crawl/unicrawl/spiders/artevelde_programs.py | VictorLeP/Education4Climate | 7d419c96c759da2215504ac9051dd6f61d940b96 | [
"MIT"
] | 4 | 2021-09-24T16:17:57.000Z | 2022-01-31T17:32:16.000Z | src/crawl/unicrawl/spiders/artevelde_programs.py | VictorLeP/Education4Climate | 7d419c96c759da2215504ac9051dd6f61d940b96 | [
"MIT"
] | 23 | 2021-08-02T07:38:47.000Z | 2022-02-11T14:16:56.000Z | src/crawl/unicrawl/spiders/artevelde_programs.py | VictorLeP/Education4Climate | 7d419c96c759da2215504ac9051dd6f61d940b96 | [
"MIT"
] | 3 | 2021-11-20T06:06:44.000Z | 2022-03-11T07:44:43.000Z | # -*- coding: utf-8 -*-
from abc import ABC
from pathlib import Path
import scrapy
from settings import YEAR, CRAWLING_OUTPUT_FOLDER
BASE_URL_1 = "https://www.arteveldehogeschool.be/opleidingen/type/bachelor/" \
"type/postgraduaat/type/graduaat/type/bachelor-na-bachelor/categorie/{}"
BASE_URL_2 = f"http... | 50.106557 | 111 | 0.670129 |
33c925afd6eea4046c1341e2e0e5ab418326824c | 172,556 | py | Python | tests/scan/test_basic.py | kc611/aesara | 6157b6512a6b79538dc03eac12179cf6d0a1b467 | [
"BSD-3-Clause"
] | null | null | null | tests/scan/test_basic.py | kc611/aesara | 6157b6512a6b79538dc03eac12179cf6d0a1b467 | [
"BSD-3-Clause"
] | null | null | null | tests/scan/test_basic.py | kc611/aesara | 6157b6512a6b79538dc03eac12179cf6d0a1b467 | [
"BSD-3-Clause"
] | null | null | null | """
Questions and notes about scan that should be answered :
* Scan seems to do copies of every input variable. Is that needed?
answer : probably not, but it doesn't hurt also ( what we copy is
aesara variables, which just cary information about the type / dimension
of the data)
* There is some of sc... | 33.755086 | 95 | 0.546228 |
33c92bdd9884d53ebb21d133f9e22ffa50ff9ec2 | 4,166 | py | Python | archetype/domain/footprints/exampleCallLettuce/buildingDMD.py | alexander-hagg/phdexperiments | 6506c8f2a438c67ca7c808df8715711fde73dfce | [
"MIT"
] | null | null | null | archetype/domain/footprints/exampleCallLettuce/buildingDMD.py | alexander-hagg/phdexperiments | 6506c8f2a438c67ca7c808df8715711fde73dfce | [
"MIT"
] | null | null | null | archetype/domain/footprints/exampleCallLettuce/buildingDMD.py | alexander-hagg/phdexperiments | 6506c8f2a438c67ca7c808df8715711fde73dfce | [
"MIT"
] | null | null | null | import lettuce as lt
import torch
import numpy as np
import matplotlib.pyplot as plt
import imageio
import scipy.io
from datetime import datetime
import os
# Not interactive to prevent trying to spawn a window
plt.ioff()
# get GPU ID
GPUID = os.getenv('GPUID')
print(GPUID)
deviceName = 'cuda:'+str(GPUID)
print(devic... | 32.546875 | 133 | 0.68963 |
33c9559a90e5d2f590feb74cd6c62f2b28b1ab2b | 3,193 | py | Python | savu/plugins/ring_removal/raven_filter.py | elainehoml/Savu | e4772704606f71d6803d832084e10faa585e7358 | [
"Apache-2.0"
] | 39 | 2015-03-30T14:03:42.000Z | 2022-03-16T16:50:33.000Z | savu/plugins/ring_removal/raven_filter.py | elainehoml/Savu | e4772704606f71d6803d832084e10faa585e7358 | [
"Apache-2.0"
] | 670 | 2015-02-11T11:08:09.000Z | 2022-03-21T09:27:57.000Z | savu/plugins/ring_removal/raven_filter.py | elainehoml/Savu | e4772704606f71d6803d832084e10faa585e7358 | [
"Apache-2.0"
] | 54 | 2015-02-13T14:09:52.000Z | 2022-01-24T13:57:09.000Z | # Copyright 2014 Diamond Light Source Ltd.
#
# 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 t... | 37.127907 | 78 | 0.663639 |
33c957505fa58f36d4ff7d4decd598460c8284a9 | 13,642 | py | Python | src/agents/ppo_agent_stack_4.py | Sopitta/RL-Pong | 8b389856d0492dac1d0fc5f4d5459809948fb14a | [
"MIT"
] | null | null | null | src/agents/ppo_agent_stack_4.py | Sopitta/RL-Pong | 8b389856d0492dac1d0fc5f4d5459809948fb14a | [
"MIT"
] | null | null | null | src/agents/ppo_agent_stack_4.py | Sopitta/RL-Pong | 8b389856d0492dac1d0fc5f4d5459809948fb14a | [
"MIT"
] | null | null | null | import torch
import numpy as np
import torch.nn.functional as F
import cv2
import time
class CNN(torch.nn.Module):
def __init__(self, state_space, n_actions, device=torch.device("cpu")):
super(CNN, self).__init__()
self.device = device
self.hidden_neurons = 512
self.stack = 4
... | 41.975385 | 127 | 0.596247 |
33c96c6e9a795354d08ad1a586e6f1e9bf0320b7 | 2,514 | py | Python | models/query_attention.py | snji-khjuria/RelationClassificationFewShotModels | a5047f44a57a81ab3281bf1290fa149a4c456486 | [
"MIT"
] | null | null | null | models/query_attention.py | snji-khjuria/RelationClassificationFewShotModels | a5047f44a57a81ab3281bf1290fa149a4c456486 | [
"MIT"
] | null | null | null | models/query_attention.py | snji-khjuria/RelationClassificationFewShotModels | a5047f44a57a81ab3281bf1290fa149a4c456486 | [
"MIT"
] | null | null | null | import sys
sys.path.append('..')
import fewshot_re_kit
import torch
from torch import autograd, optim, nn
from torch.autograd import Variable
from torch.nn import functional as F
class QueryAttentiveNetwork(fewshot_re_kit.framework.FewShotREModel):
def __init__(self, sentence_encoder, hidden_size=230):
f... | 40.548387 | 98 | 0.624901 |
33c989c4b9c09e0dcaf94298fe5bb4135e284889 | 6,788 | py | Python | scout/server/extensions.py | bjhall/scout | ea772cf8d233223e0ec5271f61b95d3afcf719ad | [
"BSD-3-Clause"
] | null | null | null | scout/server/extensions.py | bjhall/scout | ea772cf8d233223e0ec5271f61b95d3afcf719ad | [
"BSD-3-Clause"
] | null | null | null | scout/server/extensions.py | bjhall/scout | ea772cf8d233223e0ec5271f61b95d3afcf719ad | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
import copy
import json
import logging
import subprocess
from subprocess import CalledProcessError
from flask_bootstrap import Bootstrap
from flask_debugtoolbar import DebugToolbarExtension
from flask_ldap3_login import LDAP3LoginManager
from flask_login import LoginManager
from flask_mail impo... | 27.152 | 88 | 0.584414 |
33c99b1e0a855bd8772425310651e748881842d2 | 1,677 | gyp | Python | content/browser/devtools/devtools.gyp | Wzzzx/chromium-crosswalk | 768dde8efa71169f1c1113ca6ef322f1e8c9e7de | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 2 | 2019-01-28T08:09:58.000Z | 2021-11-15T15:32:10.000Z | content/browser/devtools/devtools.gyp | Wzzzx/chromium-crosswalk | 768dde8efa71169f1c1113ca6ef322f1e8c9e7de | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | content/browser/devtools/devtools.gyp | Wzzzx/chromium-crosswalk | 768dde8efa71169f1c1113ca6ef322f1e8c9e7de | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 6 | 2020-09-23T08:56:12.000Z | 2021-11-18T03:40:49.000Z | # Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
{
'targets': [
{
'target_name': 'devtools_protocol_handler',
'type': 'none',
'dependencies': [
'../../../third_party/WebKit/S... | 32.882353 | 120 | 0.553965 |
33c9aa2fa91626f6b39140210ff01733d11c81bb | 18,474 | py | Python | src/fastapi_aad_auth/_version.py | Alex-Chekh/fastapi_aad_auth | 4ad21fa76e7422da5d0799695bb547cd3e6224e0 | [
"MIT"
] | 29 | 2020-09-04T08:39:42.000Z | 2022-01-21T08:43:48.000Z | src/fastapi_aad_auth/_version.py | Alex-Chekh/fastapi_aad_auth | 4ad21fa76e7422da5d0799695bb547cd3e6224e0 | [
"MIT"
] | 86 | 2020-07-30T20:51:19.000Z | 2022-03-30T16:55:24.000Z | src/fastapi_aad_auth/_version.py | Alex-Chekh/fastapi_aad_auth | 4ad21fa76e7422da5d0799695bb547cd3e6224e0 | [
"MIT"
] | 11 | 2020-10-16T07:17:16.000Z | 2022-02-09T17:13:55.000Z |
# This file helps to compute a version number in source trees obtained from
# git-archive tarball (such as those provided by githubs download-from-tag
# feature). Distribution tarballs (built by setup.py sdist) and build
# directories (produced by setup.py build) will contain a much shorter file
# that just contains t... | 35.458733 | 79 | 0.584984 |
33c9ab30a330a18b56dcf199763623f6c901e41c | 8,950 | py | Python | test/test_list.py | Smarsh/createsend-python | a1bf076d9f664df126aefe421f119c845c9b8cec | [
"MIT"
] | null | null | null | test/test_list.py | Smarsh/createsend-python | a1bf076d9f664df126aefe421f119c845c9b8cec | [
"MIT"
] | null | null | null | test/test_list.py | Smarsh/createsend-python | a1bf076d9f664df126aefe421f119c845c9b8cec | [
"MIT"
] | null | null | null | import unittest
import urllib
from createsend import *
class ListTestCase(unittest.TestCase):
def setUp(self):
self.api_key = '123123123123123123123'
CreateSend.api_key = self.api_key
self.client_id = "87y8d7qyw8d7yq8w7ydwqwd"
self.list_id = "e3c5f034d68744f7881fdccf13c2daee"
self.list = List(s... | 48.378378 | 200 | 0.735866 |
33c9b0de6c0e95d5ff0eb5a0e60437ff938e936e | 2,027 | py | Python | toontown/coghq/DistributedBattleFactory.py | LittleNed/toontown-stride | 1252a8f9a8816c1810106006d09c8bdfe6ad1e57 | [
"Apache-2.0"
] | 3 | 2020-01-02T08:43:36.000Z | 2020-07-05T08:59:02.000Z | toontown/coghq/DistributedBattleFactory.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | null | null | null | toontown/coghq/DistributedBattleFactory.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | 4 | 2019-06-20T23:45:23.000Z | 2020-10-14T20:30:15.000Z | import random
from pandac.PandaModules import *
from direct.interval.IntervalGlobal import *
from toontown.battle.BattleBase import *
from toontown.coghq import DistributedLevelBattle
from direct.directnotify import DirectNotifyGlobal
from toontown.toon import TTEmote
from otp.avatar import Emote
from toontown.battle i... | 41.367347 | 116 | 0.745437 |
33c9cbba8dd857c9cbcaa24cae07068a164265d4 | 15,148 | bzl | Python | lib/apple_support.bzl | erikkerber/apple_support | 2ec0ef3eb2954371596fbb1a225fb244fcde31a9 | [
"Apache-2.0"
] | null | null | null | lib/apple_support.bzl | erikkerber/apple_support | 2ec0ef3eb2954371596fbb1a225fb244fcde31a9 | [
"Apache-2.0"
] | null | null | null | lib/apple_support.bzl | erikkerber/apple_support | 2ec0ef3eb2954371596fbb1a225fb244fcde31a9 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 The Bazel Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 41.845304 | 101 | 0.700092 |
33c9e10c2d222e915c5f9a751bcb72af1f35454c | 19 | py | Python | jme/jupy_tools/__version__.py | jmeppley/jupy_tools | 822d44fbd336cdd391688e7438ec3ec53debe919 | [
"MIT"
] | null | null | null | jme/jupy_tools/__version__.py | jmeppley/jupy_tools | 822d44fbd336cdd391688e7438ec3ec53debe919 | [
"MIT"
] | 1 | 2020-12-15T21:35:02.000Z | 2020-12-15T21:35:02.000Z | jme/jupy_tools/__version__.py | jmeppley/jupy_tools | 822d44fbd336cdd391688e7438ec3ec53debe919 | [
"MIT"
] | null | null | null | VERSION = '0.0.3a'
| 9.5 | 18 | 0.578947 |
33ca04aef353d821f10fb04e3315d1f4957898d4 | 3,711 | py | Python | workers/tests/test_linear_scale_range.py | Open-EO/openeo-sentinelhub-python-driver | 92f990f098065ffb658eba6dca291dd1d5fc70f2 | [
"Apache-2.0"
] | 2 | 2019-12-03T12:49:47.000Z | 2020-10-25T20:14:39.000Z | workers/tests/test_linear_scale_range.py | Open-EO/openeo-sentinelhub-python-driver | 92f990f098065ffb658eba6dca291dd1d5fc70f2 | [
"Apache-2.0"
] | 5 | 2019-12-03T10:32:48.000Z | 2020-10-09T13:07:39.000Z | workers/tests/test_linear_scale_range.py | Open-EO/openeo-sentinelhub-python-driver | 92f990f098065ffb658eba6dca291dd1d5fc70f2 | [
"Apache-2.0"
] | 4 | 2020-03-06T14:51:52.000Z | 2020-11-24T10:30:18.000Z | import pytest
import sys, os
import xarray as xr
import numpy as np
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
import process
from process._common import ProcessArgumentInvalid, ProcessArgumentRequired
@pytest.fixture
def generate_data():
def _construct(
data = [[[[0... | 42.170455 | 186 | 0.634061 |
33ca066251c86877d7cbe21e8a766d913b5f8c47 | 10,195 | py | Python | doozerlib/cli/__init__.py | vfreex/doozer | 8ad0a1234120cdc30890afbbdda1bc40e4a4fc76 | [
"Apache-2.0"
] | 16 | 2018-11-06T16:49:03.000Z | 2021-11-07T19:48:49.000Z | doozerlib/cli/__init__.py | vfreex/doozer | 8ad0a1234120cdc30890afbbdda1bc40e4a4fc76 | [
"Apache-2.0"
] | 479 | 2018-11-15T15:37:49.000Z | 2022-03-31T08:39:44.000Z | doozerlib/cli/__init__.py | vfreex/doozer | 8ad0a1234120cdc30890afbbdda1bc40e4a4fc76 | [
"Apache-2.0"
] | 38 | 2018-11-07T14:33:15.000Z | 2021-12-13T13:59:12.000Z | import asyncio
import os
import sys
from functools import update_wrapper
import click
from doozerlib import dotconfig, version
from doozerlib.cli import cli_opts
from doozerlib.runtime import Runtime
from doozerlib.util import yellow_print
CTX_GLOBAL = None
pass_runtime = click.make_pass_decorator(Runtime)
context_s... | 52.015306 | 168 | 0.676802 |
33ca13827465bc5bb4f2fd62780e414001cd37ca | 509 | py | Python | vyperlogix/django/templates/cached_templates.py | raychorn/chrome_gui | f1fade70b61af12ee43c55c075aa9cfd32caa962 | [
"CC0-1.0"
] | 1 | 2020-09-29T01:36:33.000Z | 2020-09-29T01:36:33.000Z | vyperlogix/django/templates/cached_templates.py | raychorn/chrome_gui | f1fade70b61af12ee43c55c075aa9cfd32caa962 | [
"CC0-1.0"
] | null | null | null | vyperlogix/django/templates/cached_templates.py | raychorn/chrome_gui | f1fade70b61af12ee43c55c075aa9cfd32caa962 | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# http://www.djangosnippets.org/snippets/507/
from django.template import loader
from django.conf import settings
template_cache = {}
original_get_template = loader.get_template
def cached_get_template(template_name):
global template_cache
t = template_cache.get... | 28.277778 | 80 | 0.762279 |
33ca25e07d3643b3fa09e88f976433ccebd418fa | 5,808 | py | Python | hw5.py | yaelgat/hw5 | 26fe1f06bd598fde4c4d39b5d6047f5018d293e7 | [
"Apache-2.0"
] | null | null | null | hw5.py | yaelgat/hw5 | 26fe1f06bd598fde4c4d39b5d6047f5018d293e7 | [
"Apache-2.0"
] | null | null | null | hw5.py | yaelgat/hw5 | 26fe1f06bd598fde4c4d39b5d6047f5018d293e7 | [
"Apache-2.0"
] | null | null | null | import json
import pathlib
from typing import Union, Tuple
import numpy as np
import re
import pandas as pd
from statistics import mean
import math
import matplotlib as plt
class QuestionnaireAnalysis:
"""
Reads and analyzes data generated by the questionnaire experiment.
Should be able to accept strings ... | 37.960784 | 148 | 0.548726 |
33ca27bfc7f40c8cf8fdb81c332d9baab2e40800 | 9,021 | py | Python | stoch_driver/parser/_input.py | mobergd/StochasticDiNT | a1d59ff5c21bdf4bb99d87363f3ef3cb745e6251 | [
"Apache-2.0"
] | null | null | null | stoch_driver/parser/_input.py | mobergd/StochasticDiNT | a1d59ff5c21bdf4bb99d87363f3ef3cb745e6251 | [
"Apache-2.0"
] | null | null | null | stoch_driver/parser/_input.py | mobergd/StochasticDiNT | a1d59ff5c21bdf4bb99d87363f3ef3cb745e6251 | [
"Apache-2.0"
] | null | null | null | """
parses the input file for keywords
"""
from .find import first_capture
from .find import all_captures
from .pattern import capturing
from .pattern import zero_or_more
from .pattern import one_or_more
from .pattern import series
from .pattern import escape
from .pattern import NONSPACE
from .pattern import SPACE
fr... | 21.737349 | 70 | 0.648043 |
33ca2cdde980610ea4e340a1124e423569ff9831 | 10,182 | py | Python | hs_app_timeseries/migrations/0005_auto_20160713_1905.py | hydroshare/hydroshare | bf9888bbe61507aff070b1dfcec2fdec1921468d | [
"BSD-3-Clause"
] | 178 | 2015-01-08T23:03:36.000Z | 2022-03-03T13:56:45.000Z | hs_app_timeseries/migrations/0005_auto_20160713_1905.py | hydroshare/hydroshare | bf9888bbe61507aff070b1dfcec2fdec1921468d | [
"BSD-3-Clause"
] | 4,125 | 2015-01-01T14:26:15.000Z | 2022-03-31T16:38:55.000Z | hs_app_timeseries/migrations/0005_auto_20160713_1905.py | hydroshare/hydroshare | bf9888bbe61507aff070b1dfcec2fdec1921468d | [
"BSD-3-Clause"
] | 53 | 2015-03-15T17:56:51.000Z | 2022-03-17T00:32:16.000Z | # -*- coding: utf-8 -*-
from django.db import migrations, models
import django.contrib.postgres.fields
class Migration(migrations.Migration):
dependencies = [
('hs_app_timeseries', '0004_auto_20160526_2026'),
]
operations = [
migrations.CreateModel(
name='CVAggregationStati... | 39.011494 | 150 | 0.550579 |
33ca3e61635312827e31dfa30102024bee5dddfd | 214 | py | Python | algorithms/1-99/70. Climbing Stairs.py | USTCLink/LeetcodeSolutions | ec64fea0d6cb3c56ad3d7268982be8701786700b | [
"MIT"
] | 3 | 2020-10-28T20:14:30.000Z | 2020-11-03T01:27:04.000Z | algorithms/1-99/70. Climbing Stairs.py | USTCLink/LeetcodeSolutions | ec64fea0d6cb3c56ad3d7268982be8701786700b | [
"MIT"
] | null | null | null | algorithms/1-99/70. Climbing Stairs.py | USTCLink/LeetcodeSolutions | ec64fea0d6cb3c56ad3d7268982be8701786700b | [
"MIT"
] | null | null | null | class Solution:
def climbStairs(self, n: int) -> int:
if n < 2:
return 1
prev, curr = 1, 1
for _ in range(n-1):
prev, curr = curr, prev + curr
return curr | 26.75 | 42 | 0.476636 |
33ca7bf98e56d2e4ef5d8c468a9c14505b48dc6f | 5,977 | py | Python | test/feature_library/test_feature_library.py | JasonChunZheng/pysindy | a9467c012faef0a7a072cfc2408b37978beb12c4 | [
"MIT"
] | 1 | 2020-10-28T13:12:53.000Z | 2020-10-28T13:12:53.000Z | test/feature_library/test_feature_library.py | JasonChunZheng/pysindy | a9467c012faef0a7a072cfc2408b37978beb12c4 | [
"MIT"
] | null | null | null | test/feature_library/test_feature_library.py | JasonChunZheng/pysindy | a9467c012faef0a7a072cfc2408b37978beb12c4 | [
"MIT"
] | null | null | null | """
Unit tests for feature libraries.
"""
import pytest
from scipy.sparse import coo_matrix
from scipy.sparse import csc_matrix
from scipy.sparse import csr_matrix
from sklearn.exceptions import NotFittedError
from sklearn.utils.validation import check_is_fitted
from pysindy.feature_library import ConcatLibrary
from p... | 29.014563 | 85 | 0.69918 |
33ca8c483f349311797ca1cdc87a7315ef93e36d | 10,780 | py | Python | pytorch/eval_onemodel_tta.py | nipeone/dl | 5dec328077accc18adac05ffd1ea27cd474b176c | [
"Apache-2.0"
] | null | null | null | pytorch/eval_onemodel_tta.py | nipeone/dl | 5dec328077accc18adac05ffd1ea27cd474b176c | [
"Apache-2.0"
] | null | null | null | pytorch/eval_onemodel_tta.py | nipeone/dl | 5dec328077accc18adac05ffd1ea27cd474b176c | [
"Apache-2.0"
] | null | null | null | #coding=utf-8
from __future__ import print_function, division
import torch
import torch.nn as nn
import torch.optim as optim
from torch.optim import lr_scheduler
from torch.autograd import Variable
from torchvision import models, transforms
import time
import os,argparse
import copy
from torch.utils.data import Data... | 36.418919 | 108 | 0.589147 |
33ca8f848118fdeeeaa8adc4c0d7a82960f3b506 | 1,063 | py | Python | SMLProject_G3/LRP/converter.py | pourmand1376/statistical-machine-learning-projects | c1ff4057beb4256c4d0a4743bb0e7a9ce44c938f | [
"MIT"
] | 1 | 2021-10-10T23:55:37.000Z | 2021-10-10T23:55:37.000Z | SMLProject_G3/LRP/converter.py | pourmand1376/statistical-machine-learning-projects | c1ff4057beb4256c4d0a4743bb0e7a9ce44c938f | [
"MIT"
] | null | null | null | SMLProject_G3/LRP/converter.py | pourmand1376/statistical-machine-learning-projects | c1ff4057beb4256c4d0a4743bb0e7a9ce44c938f | [
"MIT"
] | null | null | null | import torch
from conv import Conv2d
from linear import Linear
from sequential import Sequential
conversion_table = {
'Linear': Linear,
'Conv2d': Conv2d
}
def convert_vgg(module, modules=None):
# First time
if modules is None:
modules = []
for m in module.childr... | 25.926829 | 84 | 0.637817 |
33ca9a71184099f53e4779988bc4ec8de0a0c896 | 4,781 | py | Python | visualization/memory_bptt/critic_gradients_watermaze_2d.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | 1 | 2020-10-23T14:40:09.000Z | 2020-10-23T14:40:09.000Z | visualization/memory_bptt/critic_gradients_watermaze_2d.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | visualization/memory_bptt/critic_gradients_watermaze_2d.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | 1 | 2021-05-27T20:38:45.000Z | 2021-05-27T20:38:45.000Z | """
For the heatmap, I index into the Q function with Q[state, action]
"""
import argparse
import os
import re
from operator import itemgetter
from pathlib import Path
import joblib
import matplotlib.pyplot as plt
import numpy as np
import torch
from torch.autograd import Variable
from rlkit.envs.pygame.water_maze i... | 30.259494 | 84 | 0.607613 |
33caf974235c4121785fe0536d19aa07730c181c | 7,380 | py | Python | data/level/level1047.py | levelupai/match3-level-similarity | cc9b28b8741b41bea1273c8bc9b4d265d79a1dca | [
"Apache-2.0"
] | null | null | null | data/level/level1047.py | levelupai/match3-level-similarity | cc9b28b8741b41bea1273c8bc9b4d265d79a1dca | [
"Apache-2.0"
] | 6 | 2020-07-04T02:53:08.000Z | 2022-03-11T23:53:14.000Z | data/level/level1047.py | levelupai/match3-level-similarity | cc9b28b8741b41bea1273c8bc9b4d265d79a1dca | [
"Apache-2.0"
] | 3 | 2019-12-31T11:42:59.000Z | 2021-03-28T20:06:13.000Z | data = {
'level_index': 1047,
'move_count': 25,
'fall_ratio': 0,
'board_info': {
(0, 1): {
'prev': (0, -1),
'next': (0, 1),
'base': (2, 1)
},
(7, 1): {
'prev': (0, -1),
'next': (0, 1),
'base': (6, 1)
... | 22.777778 | 34 | 0.194038 |
33cafdea19a7f2f3bb4fe844c08095327f19508d | 35,537 | py | Python | train/src/env_v27.py | tku-iarc/collision_avoidance_without_img | 981e32e9f2b366fbf5eaa6d006fbb75f29c34028 | [
"MIT"
] | null | null | null | train/src/env_v27.py | tku-iarc/collision_avoidance_without_img | 981e32e9f2b366fbf5eaa6d006fbb75f29c34028 | [
"MIT"
] | null | null | null | train/src/env_v27.py | tku-iarc/collision_avoidance_without_img | 981e32e9f2b366fbf5eaa6d006fbb75f29c34028 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""classic Acrobot task"""
import sys
sys.path.insert(1, "/home/yue/.local/lib/python3.5/site-packages/")
sys.path.insert(2, "/home/yue/yuetin/collision_surrouding/catkin_workspace/install/lib/python3/dist-packages")
# sys.path.insert(1, "/home/yue/.local/lib/python3.5/site-packages/")
# sys.pat... | 41.083237 | 144 | 0.543799 |
33cb2c4e9ebed1f287f1c53f7897912140f8b612 | 378 | py | Python | pandaharvester/harvestercore/cache_spec.py | tsulaiav/harvester | ca3f78348019dd616738f2da7d50e81700a8e6b9 | [
"Apache-2.0"
] | 11 | 2017-06-01T10:16:58.000Z | 2019-11-22T08:41:36.000Z | pandaharvester/harvestercore/cache_spec.py | tsulaiav/harvester | ca3f78348019dd616738f2da7d50e81700a8e6b9 | [
"Apache-2.0"
] | 34 | 2016-10-25T19:15:24.000Z | 2021-03-05T12:59:04.000Z | pandaharvester/harvestercore/cache_spec.py | tsulaiav/harvester | ca3f78348019dd616738f2da7d50e81700a8e6b9 | [
"Apache-2.0"
] | 17 | 2016-10-24T13:29:45.000Z | 2021-03-23T17:35:27.000Z | """
Cache class
"""
from .spec_base import SpecBase
class CacheSpec(SpecBase):
# attributes
attributesWithTypes = ('mainKey:text',
'subKey:text',
'data:blob',
'lastUpdate:timestamp'
)
# constructo... | 19.894737 | 49 | 0.481481 |
33cb3cb56010811ddd852b7638cd87df25bdbb8e | 12,003 | py | Python | cinder/volume/drivers/vmware/datastore.py | mail2nsrajesh/cinder | a688b872bec6d1abd4dcd852bdb8e8a921369d2e | [
"Apache-2.0"
] | null | null | null | cinder/volume/drivers/vmware/datastore.py | mail2nsrajesh/cinder | a688b872bec6d1abd4dcd852bdb8e8a921369d2e | [
"Apache-2.0"
] | 2 | 2018-10-25T13:04:01.000Z | 2019-08-17T13:15:24.000Z | cinder/volume/drivers/vmware/datastore.py | mail2nsrajesh/cinder | a688b872bec6d1abd4dcd852bdb8e8a921369d2e | [
"Apache-2.0"
] | 2 | 2018-10-17T13:32:50.000Z | 2018-11-08T08:39:39.000Z | # Copyright (c) 2014 VMware, 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... | 38.970779 | 79 | 0.583854 |
33cb3dfeb45c150fc175af5bd4400134ea79f1c4 | 2,684 | py | Python | owtf/api/handlers/session.py | alienus/owtf | b6d81fac83c324c2b8c6fe2a974c036881c1fcd0 | [
"BSD-3-Clause"
] | null | null | null | owtf/api/handlers/session.py | alienus/owtf | b6d81fac83c324c2b8c6fe2a974c036881c1fcd0 | [
"BSD-3-Clause"
] | null | null | null | owtf/api/handlers/session.py | alienus/owtf | b6d81fac83c324c2b8c6fe2a974c036881c1fcd0 | [
"BSD-3-Clause"
] | null | null | null | """
owtf.api.handlers.session
~~~~~~~~~~~~~~~~~~~~~~
"""
import tornado.gen
import tornado.httpclient
import tornado.web
from owtf.api.handlers.base import APIRequestHandler
from owtf.lib import exceptions
from owtf.managers.session import get_all_session_dicts, get_session_dict, add_session, add_target_to_session, ... | 41.292308 | 121 | 0.656855 |
33cb4d000b806020e9573b7696b33b5f3c508a50 | 14,320 | py | Python | SwissKnife/megazord.py | g0bel1n/megazord-backend | b7666610a7732374a381f19f761944b8bce044cb | [
"MIT"
] | 1 | 2021-07-08T14:35:55.000Z | 2021-07-08T14:35:55.000Z | SwissKnife/megazord.py | iSab01/megazord | b7666610a7732374a381f19f761944b8bce044cb | [
"MIT"
] | null | null | null | SwissKnife/megazord.py | iSab01/megazord | b7666610a7732374a381f19f761944b8bce044cb | [
"MIT"
] | null | null | null | # The SwissKnife is the center class of our project. It centralizes many of the functions we need.
# ToDo LIST :
# Early dropout
import os
import logging
import coremltools as ct
from tensorflow.keras import layers
from tensorflow import nn, keras, data
from tensorflow.keras.models import load_model
from tensorflow ... | 37.291667 | 139 | 0.61669 |
33cb716d46f6fc3201358490eda8528f4941de2c | 1,015 | py | Python | gmm_train.py | samiemostafavi/conditional-latency-probability-prediction | a196f2db8c6f30f8613797b6a23bffd77a01e1e3 | [
"MIT"
] | null | null | null | gmm_train.py | samiemostafavi/conditional-latency-probability-prediction | a196f2db8c6f30f8613797b6a23bffd77a01e1e3 | [
"MIT"
] | null | null | null | gmm_train.py | samiemostafavi/conditional-latency-probability-prediction | a196f2db8c6f30f8613797b6a23bffd77a01e1e3 | [
"MIT"
] | null | null | null | import numpy as np
from pr3d.de import ConditionalGaussianMM
from utils import create_dataset
dtype = 'float64' # 'float32' or 'float16'
gmm_model = ConditionalGaussianMM(
centers = 8,
x_dim = 3,
hidden_sizes = (16,16),
dtype = dtype,
)
np.random.seed(0)
X,Y = create_dataset(n_samples = 10000, x_dim... | 26.025641 | 73 | 0.646305 |
33cb7fa6fdd643ae44b9e50f07e30ab9acaa2e91 | 2,599 | py | Python | tools/test_setup.py | suzil/open-worm-analysis-toolbox | ea1d3cddcefb6724e3d531cbced32092ac431411 | [
"MIT"
] | 35 | 2016-03-02T06:32:16.000Z | 2021-12-17T22:57:22.000Z | tools/test_setup.py | suzil/open-worm-analysis-toolbox | ea1d3cddcefb6724e3d531cbced32092ac431411 | [
"MIT"
] | 80 | 2015-12-30T21:55:57.000Z | 2021-03-13T10:38:47.000Z | tools/test_setup.py | suzil/open-worm-analysis-toolbox | ea1d3cddcefb6724e3d531cbced32092ac431411 | [
"MIT"
] | 17 | 2016-02-19T09:25:39.000Z | 2021-12-17T22:57:33.000Z | """
Run this script to verify your setup, checking that:
1) All necessary packages are installed
2) The packages are sufficiently recent
3) User options are specified correctly
Links to Windows installs for required packages:
-----------------------------------------------
http://www.lfd.uci.edu/~gohlke/pythonlibs/#sh... | 25.732673 | 79 | 0.662178 |
33cba07df7776a80c6c3f1d4fa2f24f5824bb338 | 21,093 | py | Python | components/aws/sagemaker/tests/unit_tests/tests/train/test_train_component.py | Iuiu1234/pipelines | 1e032f550ce23cd40bfb6827b995248537b07d08 | [
"Apache-2.0"
] | 2,860 | 2018-05-24T04:55:01.000Z | 2022-03-31T13:49:56.000Z | components/aws/sagemaker/tests/unit_tests/tests/train/test_train_component.py | Iuiu1234/pipelines | 1e032f550ce23cd40bfb6827b995248537b07d08 | [
"Apache-2.0"
] | 7,331 | 2018-05-16T09:03:26.000Z | 2022-03-31T23:22:04.000Z | components/aws/sagemaker/tests/unit_tests/tests/train/test_train_component.py | Iuiu1234/pipelines | 1e032f550ce23cd40bfb6827b995248537b07d08 | [
"Apache-2.0"
] | 1,359 | 2018-05-15T11:05:41.000Z | 2022-03-31T09:42:09.000Z | from common.sagemaker_component import SageMakerJobStatus
from train.src.sagemaker_training_spec import SageMakerTrainingSpec
from train.src.sagemaker_training_component import (
SageMakerTrainingComponent,
DebugRulesStatus,
)
from tests.unit_tests.tests.train.test_train_spec import TrainingSpecTestCase
import ... | 38.916974 | 324 | 0.57218 |
33cbadf1a10954434b2c2613b50a91cd75e475fb | 8,481 | py | Python | docs/conf.py | agodbehere/with-venv | a8e5eeca790f3c6d31189ce22678989a2e78ef2f | [
"0BSD"
] | null | null | null | docs/conf.py | agodbehere/with-venv | a8e5eeca790f3c6d31189ce22678989a2e78ef2f | [
"0BSD"
] | null | null | null | docs/conf.py | agodbehere/with-venv | a8e5eeca790f3c6d31189ce22678989a2e78ef2f | [
"0BSD"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# with-venv documentation build configuration file, created by
# sphinx-quickstart on Tue Jul 9 22:26:36 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
# a... | 30.728261 | 76 | 0.715717 |
33cbb61cf373760af9699cce5629ee8b3bc2bacb | 13,811 | py | Python | Baseline/baseline.py | aludi/DRS_parsing | d2beb56c31fa3ef38ebe16d5d1fa0cd27584f6ff | [
"MIT"
] | null | null | null | Baseline/baseline.py | aludi/DRS_parsing | d2beb56c31fa3ef38ebe16d5d1fa0cd27584f6ff | [
"MIT"
] | null | null | null | Baseline/baseline.py | aludi/DRS_parsing | d2beb56c31fa3ef38ebe16d5d1fa0cd27584f6ff | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import re
import statistics
import nltk
from nltk.corpus import wordnet as wn
import numpy as np
import plotille as pl
def download_nltk_packages():
'''Downloads the NLTK packages necessary for this project.'''
nltk.download('wordnet', quiet=True)
def read_drs_data(file):
'''Read... | 38.904225 | 135 | 0.56455 |
33cbbf0c340e355abdfaa10e603cc7d1fbb65934 | 3,308 | py | Python | scripts/00_fetch_proteomes.py | cmdoret/Acastellanii_genome_analysis | ae5111597431d1170cee0739c0fa258c97b8e65c | [
"MIT"
] | 5 | 2019-07-29T09:41:12.000Z | 2022-02-17T03:10:35.000Z | scripts/00_fetch_proteomes.py | cmdoret/Acastellanii_genome_analysis | ae5111597431d1170cee0739c0fa258c97b8e65c | [
"MIT"
] | null | null | null | scripts/00_fetch_proteomes.py | cmdoret/Acastellanii_genome_analysis | ae5111597431d1170cee0739c0fa258c97b8e65c | [
"MIT"
] | 1 | 2019-12-05T08:19:33.000Z | 2019-12-05T08:19:33.000Z | # Download proteome of input organism from NCBI
import time
import urllib
from Bio import Entrez
def safe_request(fun):
"""
Wraps function requesting data to allow safe errors and retry.
Parameters
----------
fun : python function
The python function that queries a server
Ret... | 28.517241 | 82 | 0.58162 |
33cbc14791ba8f2f2fe4e09fdcec78f8bf9ca394 | 3,279 | py | Python | sdk/applicationinsights/azure-mgmt-applicationinsights/azure/mgmt/applicationinsights/v2017_10_01/_configuration.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-09T08:59:13.000Z | 2022-03-09T08:59:13.000Z | sdk/applicationinsights/azure-mgmt-applicationinsights/azure/mgmt/applicationinsights/v2017_10_01/_configuration.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/applicationinsights/azure-mgmt-applicationinsights/azure/mgmt/applicationinsights/v2017_10_01/_configuration.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-04T06:21:56.000Z | 2022-03-04T06:21:56.000Z | # 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 ... | 47.521739 | 125 | 0.697469 |
33cbe672532f0c3f94f0904b1acf545c566a891f | 1,532 | py | Python | pandaharvester/harvesterextractor/aux_extractor.py | tsulaiav/harvester | ca3f78348019dd616738f2da7d50e81700a8e6b9 | [
"Apache-2.0"
] | 7 | 2019-08-30T07:35:48.000Z | 2022-02-13T14:46:53.000Z | pandaharvester/harvesterextractor/aux_extractor.py | tsulaiav/harvester | ca3f78348019dd616738f2da7d50e81700a8e6b9 | [
"Apache-2.0"
] | 29 | 2019-09-20T14:04:37.000Z | 2021-09-13T12:53:05.000Z | pandaharvester/harvesterextractor/aux_extractor.py | tsulaiav/harvester | ca3f78348019dd616738f2da7d50e81700a8e6b9 | [
"Apache-2.0"
] | 15 | 2019-07-30T11:48:29.000Z | 2022-03-29T21:49:05.000Z | import re
from .base_extractor import BaseExtractor
# extractor for auxiliary input files
class AuxExtractor(BaseExtractor):
# constructor
def __init__(self, **kwarg):
self.containerPrefix = None
BaseExtractor.__init__(self, **kwarg)
# get auxiliary input files
def get_aux_inputs(self... | 37.365854 | 93 | 0.582898 |
33cc06886008f1c8457c17bfa5b856d31f962fe6 | 32,425 | py | Python | test/quantization/test_numeric_suite_fx.py | sorenrasmussenai/pytorch | 6c65ce8ee14faec577582ecd0e17ba436f32c8b3 | [
"Intel"
] | null | null | null | test/quantization/test_numeric_suite_fx.py | sorenrasmussenai/pytorch | 6c65ce8ee14faec577582ecd0e17ba436f32c8b3 | [
"Intel"
] | null | null | null | test/quantization/test_numeric_suite_fx.py | sorenrasmussenai/pytorch | 6c65ce8ee14faec577582ecd0e17ba436f32c8b3 | [
"Intel"
] | null | null | null | import copy
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.quantization import default_dynamic_qconfig
import torch.nn.quantized as nnq
toq = torch.ops.quantized
from torch.quantization.quantize_fx import (
convert_fx,
prepare_fx,
prepare_qat_fx,
)
from torch.test... | 37.791375 | 90 | 0.584056 |
33cc167ff2d0a7ee9e49bd3f61a38b0d34037e67 | 25,305 | py | Python | sdk/appservice/azure-mgmt-web/azure/mgmt/web/v2018_02_01/operations/_certificates_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2021-09-07T18:39:05.000Z | 2021-09-07T18:39:05.000Z | sdk/appservice/azure-mgmt-web/azure/mgmt/web/v2018_02_01/operations/_certificates_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/appservice/azure-mgmt-web/azure/mgmt/web/v2018_02_01/operations/_certificates_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-04T06:21:56.000Z | 2022-03-04T06:21:56.000Z | # 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 ... | 40.039557 | 169 | 0.664098 |
33cc17e9e1f52c2eee04454a2b009a9c90c0b6e9 | 46 | py | Python | clerk/__init__.py | newsdev/nyt-clerk | 2c09c8be80bb6ff034f54e44b085e4248b7531ea | [
"Apache-2.0"
] | 40 | 2015-08-25T15:01:03.000Z | 2020-11-14T09:18:38.000Z | clerk/__init__.py | lennybronner/nyt-clerk | 2c09c8be80bb6ff034f54e44b085e4248b7531ea | [
"Apache-2.0"
] | 13 | 2015-08-26T19:24:06.000Z | 2017-02-01T03:32:00.000Z | clerk/__init__.py | newsdev/nyt-clerk | 2c09c8be80bb6ff034f54e44b085e4248b7531ea | [
"Apache-2.0"
] | 4 | 2015-08-26T04:40:49.000Z | 2019-06-20T14:16:49.000Z | from clerk.cli import main
__all__ = ['main'] | 15.333333 | 26 | 0.717391 |
33cc1a3171efdd3d83b18c08e89f73387e1df2fd | 1,129 | py | Python | pluginsmanager/model/system/system_port_mixing.py | SpotlightKid/PluginsManager | 2dcc9f6a79b48e9c9be82efffd855352fa15c5c7 | [
"Apache-2.0"
] | 9 | 2017-05-24T09:55:34.000Z | 2020-06-22T03:55:51.000Z | pluginsmanager/model/system/system_port_mixing.py | SpotlightKid/PluginsManager | 2dcc9f6a79b48e9c9be82efffd855352fa15c5c7 | [
"Apache-2.0"
] | 97 | 2016-11-17T16:30:35.000Z | 2021-10-09T00:27:56.000Z | pluginsmanager/model/system/system_port_mixing.py | SpotlightKid/PluginsManager | 2dcc9f6a79b48e9c9be82efffd855352fa15c5c7 | [
"Apache-2.0"
] | 3 | 2017-05-21T19:20:38.000Z | 2019-11-04T23:53:59.000Z | # Copyright 2017 SrMouraSilva
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | 30.513514 | 74 | 0.692648 |
33cc48c698bbeb1a1decd52f97e794f1e047dc27 | 380 | py | Python | proxyclient/v2/zones.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | 1 | 2019-09-11T11:56:19.000Z | 2019-09-11T11:56:19.000Z | proxyclient/v2/zones.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | null | null | null | proxyclient/v2/zones.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | null | null | null | """
zones interface
"""
from proxyclient import base
class Zone(base.Resource):
def __repr__(self):
return "<Zone: %s>" % self.name
class ZoneManager(base.Manager):
resource_class = Zone
def list(self, detail=False):
return self._list('/zones?detail=%s' % detail, 'zones')
def get(se... | 20 | 63 | 0.623684 |
33cc4f9e969ff038f2f73f4f000fbc0cfcd5d598 | 1,092 | py | Python | app/auth/forms.py | mwroffo/FastCardsOnline | fad98cad41036c6232951d1657a630cd5114c9d5 | [
"MIT"
] | null | null | null | app/auth/forms.py | mwroffo/FastCardsOnline | fad98cad41036c6232951d1657a630cd5114c9d5 | [
"MIT"
] | 2 | 2018-07-25T01:05:40.000Z | 2018-07-26T22:20:56.000Z | app/auth/forms.py | mwroffo/FastCardsOnline | fad98cad41036c6232951d1657a630cd5114c9d5 | [
"MIT"
] | null | null | null | from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField, BooleanField, SubmitField
from wtforms.validators import ValidationError, DataRequired, Email, EqualTo
from app.models import User
class RegistrationForm(FlaskForm):
username = StringField('Username', validators=[DataRequired()])
e... | 52 | 98 | 0.722527 |
33cc5a38a57308bb3050d3a0b8551fafc1cb9c5e | 21,356 | py | Python | NavPython/IronPython/Lib/distutils/sysconfig.py | jstammers/EDMSuite | 2841c0edef32a496855ca41deaa0f710b017ae2f | [
"MIT"
] | 76 | 2015-12-20T16:56:37.000Z | 2021-12-13T09:40:48.000Z | NavPython/IronPython/Lib/distutils/sysconfig.py | jstammers/EDMSuite | 2841c0edef32a496855ca41deaa0f710b017ae2f | [
"MIT"
] | 8 | 2016-04-28T23:57:19.000Z | 2022-03-02T21:54:02.000Z | NavPython/IronPython/Lib/distutils/sysconfig.py | jstammers/EDMSuite | 2841c0edef32a496855ca41deaa0f710b017ae2f | [
"MIT"
] | 18 | 2016-02-26T13:49:18.000Z | 2021-11-10T11:15:14.000Z | """Provide access to Python's configuration information. The specific
configuration variables available depend heavily on the platform and
configuration. The values may be retrieved using
get_config_var(name), and the list of variables is available via
get_config_vars().keys(). Additional convenience functions are a... | 37.335664 | 94 | 0.574546 |
33cc5e022e00091fad3170abb44a19d2963c0deb | 1,314 | py | Python | tests/test_hugo.py | CIMAC-CIDC/cidc-taskmanager | f6fcadb06a300c905f88de8879198d6485e6fc6a | [
"MIT"
] | null | null | null | tests/test_hugo.py | CIMAC-CIDC/cidc-taskmanager | f6fcadb06a300c905f88de8879198d6485e6fc6a | [
"MIT"
] | 14 | 2019-03-01T02:35:36.000Z | 2019-05-28T18:31:24.000Z | tests/test_hugo.py | CIMAC-CIDC/cidc-taskmanager | f6fcadb06a300c905f88de8879198d6485e6fc6a | [
"MIT"
] | null | null | null | """
Testing for hugo tasks
"""
from unittest.mock import patch
from framework.tasks.hugo_tasks import check_symbols_valid, build_gene_collection
def test_build_gene_collection():
"""
Test build_gene_collection
"""
tsv = (
"#\n"
+ "9606 1 A1BG - A1B|ABG|GAB|HYST2477 "
+ "MIM:138... | 30.55814 | 98 | 0.54414 |
33cc77a66f629b0b91cb02115565a24adc358b3d | 1,121 | py | Python | projects/02_return_data/02_return_data_complex.py | NJannasch/TechLabs-FlaskIntro | 24fadedd42ba2bfddbc40b0f939a47dfcf85867f | [
"MIT"
] | null | null | null | projects/02_return_data/02_return_data_complex.py | NJannasch/TechLabs-FlaskIntro | 24fadedd42ba2bfddbc40b0f939a47dfcf85867f | [
"MIT"
] | null | null | null | projects/02_return_data/02_return_data_complex.py | NJannasch/TechLabs-FlaskIntro | 24fadedd42ba2bfddbc40b0f939a47dfcf85867f | [
"MIT"
] | null | null | null | from flask import Flask, jsonify
import typing
app = Flask(__name__)
def get_persons() -> typing.List:
person_data: typing.List = []
person_1: dict = {
"name": "Nils",
"location": "Dortmund"
}
person_2: dict = {
"name": "Nicolas",
"location": "Dortmund"
... | 21.150943 | 52 | 0.603925 |
33cc7cbd47ec489a6dc212d19a5bcdc08375b304 | 140 | py | Python | tests/try_finally_except.py | ZYAZP/python2 | 7dc3b62eff51e1decb4a408122e77630fdc1687d | [
"MIT"
] | 1,062 | 2015-11-18T01:04:33.000Z | 2022-03-29T07:13:30.000Z | tests/try_finally_except.py | ArrowSides/onelinerizer | 7dc3b62eff51e1decb4a408122e77630fdc1687d | [
"MIT"
] | 26 | 2015-11-17T06:58:07.000Z | 2022-01-15T18:11:16.000Z | tests/try_finally_except.py | ArrowSides/onelinerizer | 7dc3b62eff51e1decb4a408122e77630fdc1687d | [
"MIT"
] | 100 | 2015-11-17T09:01:22.000Z | 2021-09-12T13:58:28.000Z | try:
try:
print 'try 1'
assert False
finally:
print 'finally 1'
except AssertionError:
print 'except 1'
| 15.555556 | 25 | 0.557143 |
33cc83c5146e18ac688226f4cebec134c0c52119 | 4,957 | py | Python | biopandas/pdb/tests/test_amino3to1.py | NPalopoli/biopandas | 985dbaf06fd19ccd8cd2a81179f8100807792a2a | [
"BSD-3-Clause"
] | 1 | 2020-04-14T16:46:24.000Z | 2020-04-14T16:46:24.000Z | biopandas/pdb/tests/test_amino3to1.py | NPalopoli/biopandas | 985dbaf06fd19ccd8cd2a81179f8100807792a2a | [
"BSD-3-Clause"
] | null | null | null | biopandas/pdb/tests/test_amino3to1.py | NPalopoli/biopandas | 985dbaf06fd19ccd8cd2a81179f8100807792a2a | [
"BSD-3-Clause"
] | null | null | null | # BioPandas
# Author: Sebastian Raschka <mail@sebastianraschka.com>
# License: BSD 3 clause
# Project Website: http://rasbt.github.io/biopandas/
# Code Repository: https://github.com/rasbt/biopandas
import numpy as np
from biopandas.pdb import PandasPdb
import os
def test_defaults():
TESTDATA_1t48 = os.path.join... | 45.477064 | 79 | 0.34537 |
33cc88fc4ab83a83214c961529b28c978ba1d60f | 2,988 | py | Python | test/multiapi/Expected/AcceptanceTests/MultiapiNoAsync/multiapinoasync/v3/_configuration.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | null | null | null | test/multiapi/Expected/AcceptanceTests/MultiapiNoAsync/multiapinoasync/v3/_configuration.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | null | null | null | test/multiapi/Expected/AcceptanceTests/MultiapiNoAsync/multiapinoasync/v3/_configuration.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | 1 | 2022-03-28T08:58:03.000Z | 2022-03-28T08:58:03.000Z | # 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 ... | 45.969231 | 125 | 0.686747 |
33ccea5add96490bfd91609744882d69213f9697 | 997 | py | Python | olive/ui/backend/qt/mainwindow/presenter.py | liuyenting/olive-core | b532b29e29fe9f167369f66b8d922f5f644f9309 | [
"Apache-2.0"
] | null | null | null | olive/ui/backend/qt/mainwindow/presenter.py | liuyenting/olive-core | b532b29e29fe9f167369f66b8d922f5f644f9309 | [
"Apache-2.0"
] | null | null | null | olive/ui/backend/qt/mainwindow/presenter.py | liuyenting/olive-core | b532b29e29fe9f167369f66b8d922f5f644f9309 | [
"Apache-2.0"
] | null | null | null | import logging
from olive.ui.mainwindow import MainWindowPresenter as _MainWindowPresenter
from olive.ui.mainwindow import Portal
from ..acquisition import AcquisitionPresenter
from ..devicehub import DeviceHubPresenter
from ..protoedit import ProtocolEditorPresenter
from .view import MainWindowView
__all_... | 26.236842 | 83 | 0.708124 |
33cceb674fc8996a3e01f3c82a5048620bb20a25 | 2,129 | py | Python | setup.py | datalytyx/pipelinewise | 6916b105bf1228945c9ae2988b329d9ddeb806d6 | [
"Apache-2.0"
] | null | null | null | setup.py | datalytyx/pipelinewise | 6916b105bf1228945c9ae2988b329d9ddeb806d6 | [
"Apache-2.0"
] | 3 | 2019-11-04T11:42:22.000Z | 2019-12-03T12:15:19.000Z | setup.py | datalytyx/pipelinewise | 6916b105bf1228945c9ae2988b329d9ddeb806d6 | [
"Apache-2.0"
] | 2 | 2019-11-29T12:30:05.000Z | 2019-12-09T13:13:19.000Z | #!/usr/bin/env python
from setuptools import find_packages, setup
with open('README.md') as f:
LONG_DESCRIPTION = f.read()
setup(name='pipelinewise',
version='0.12.2',
description='PipelineWise',
long_description=LONG_DESCRIPTION,
long_description_content_type='text/markdown',
autho... | 33.265625 | 119 | 0.538751 |
33cd0c5b1fcbb0d030df05b6db0b3bd6930644f8 | 8,295 | py | Python | hw07/dmia/classifiers/logistic_regression.py | dmryutov/otus-python-0319 | c825166ff16a2e26f3d99e375b13c9e2e8ada49b | [
"MIT"
] | null | null | null | hw07/dmia/classifiers/logistic_regression.py | dmryutov/otus-python-0319 | c825166ff16a2e26f3d99e375b13c9e2e8ada49b | [
"MIT"
] | null | null | null | hw07/dmia/classifiers/logistic_regression.py | dmryutov/otus-python-0319 | c825166ff16a2e26f3d99e375b13c9e2e8ada49b | [
"MIT"
] | null | null | null | import numpy as np
from scipy import sparse
class LogisticRegression:
def __init__(self):
self.w = None
self.loss_history = None
def train(self, X, y, learning_rate=1e-3, reg=1e-5, num_iters=100,
batch_size=200, verbose=False):
"""
Train this classifier using sto... | 45.081522 | 88 | 0.412297 |
33cd269952ee730730014d6fb4e47e6b4ba16ef0 | 12,816 | py | Python | runners/sparenet_gan_runner.py | zyh16143998882/SpareNet | 1391a6828cf330ff32be8f5f3bcf90239b4ff92c | [
"MIT"
] | 98 | 2021-03-19T04:34:35.000Z | 2022-03-04T20:02:34.000Z | runners/sparenet_gan_runner.py | zyh16143998882/SpareNet | 1391a6828cf330ff32be8f5f3bcf90239b4ff92c | [
"MIT"
] | 24 | 2021-04-12T02:36:10.000Z | 2022-03-19T02:39:50.000Z | runners/sparenet_gan_runner.py | zyh16143998882/SpareNet | 1391a6828cf330ff32be8f5f3bcf90239b4ff92c | [
"MIT"
] | 13 | 2021-03-23T03:35:09.000Z | 2021-12-24T05:45:45.000Z | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
import os
import torch
import random
import logging
from time import time
import utils.misc as um
from utils.p2i_utils import N_VIEWS_PREDEFINED
from utils.model_init import discriminator_init, renderer_init
import cuda.emd.emd_module as emd
from... | 36.933718 | 88 | 0.575218 |
33cd524d3cb320c47b89ad4ade3147011272c887 | 672 | py | Python | output/cityscape/clean.py | Definiter/Deformable-ConvNets | 4a3795795d67b27d39d411bf46c0772208a2d7fa | [
"Apache-2.0"
] | 1 | 2017-08-28T13:13:48.000Z | 2017-08-28T13:13:48.000Z | output/cityscape/clean.py | Definiter/Deformable-ConvNets | 4a3795795d67b27d39d411bf46c0772208a2d7fa | [
"Apache-2.0"
] | null | null | null | output/cityscape/clean.py | Definiter/Deformable-ConvNets | 4a3795795d67b27d39d411bf46c0772208a2d7fa | [
"Apache-2.0"
] | 1 | 2021-11-05T20:44:54.000Z | 2021-11-05T20:44:54.000Z | import os
for m in os.listdir('.'):
if os.path.isdir(m):
print m
count = []
for f in os.listdir('{}/leftImg8bit_train'.format(m)):
if ('params' in f or 'states' in f):
count.append(f[-11:-7])
#print '{}/leftImg8bit_train/{}'.format(m, f)
c... | 37.333333 | 77 | 0.491071 |
33cd525a1af6643e70a9a65e1911672e53c69092 | 1,763 | py | Python | main.py | Aggis15/T4NK0R | 05d1791e51f50bcb44c56ca936e5a11b7de21fb1 | [
"MIT"
] | null | null | null | main.py | Aggis15/T4NK0R | 05d1791e51f50bcb44c56ca936e5a11b7de21fb1 | [
"MIT"
] | null | null | null | main.py | Aggis15/T4NK0R | 05d1791e51f50bcb44c56ca936e5a11b7de21fb1 | [
"MIT"
] | null | null | null | import logging
import discord
from discord.ext import commands
import json
import os
from dotenv import load_dotenv
import wavelink
load_dotenv()
# Logging
logging.basicConfig(
filename="./logs/discordlogs.log",
filemode="w",
format="%(name)s - %(levelname)s - %(message)s",
)
logger = logging.getLogger()
... | 24.150685 | 87 | 0.681225 |
33cd9a5becebbd064264243a5d2711800238248f | 135 | py | Python | app/models/last_location.py | mbroz/feel-the-streets | 6e21a496f1530b0500ca66e11712f3f31cd857ae | [
"MIT"
] | null | null | null | app/models/last_location.py | mbroz/feel-the-streets | 6e21a496f1530b0500ca66e11712f3f31cd857ae | [
"MIT"
] | null | null | null | app/models/last_location.py | mbroz/feel-the-streets | 6e21a496f1530b0500ca66e11712f3f31cd857ae | [
"MIT"
] | null | null | null | from pydantic import BaseModel
class LastLocation(BaseModel):
id: int
area: str
latitude: float
longitude: float | 19.285714 | 31 | 0.681481 |
33cdce5a57ae9bddb68d5f708fba70d00a7795b0 | 29,013 | py | Python | evaluation/tools/ud_eval.py | AndyTheFactory/Romanian-Transformers | dd3001ae8c97c1f6c3fc7a1c755787f98b46152f | [
"MIT"
] | 55 | 2020-04-20T19:11:45.000Z | 2022-02-19T15:46:29.000Z | evaluation/tools/ud_eval.py | AndyTheFactory/Romanian-Transformers | dd3001ae8c97c1f6c3fc7a1c755787f98b46152f | [
"MIT"
] | 1 | 2020-12-10T12:56:10.000Z | 2020-12-11T14:15:17.000Z | evaluation/tools/ud_eval.py | AndyTheFactory/Romanian-Transformers | dd3001ae8c97c1f6c3fc7a1c755787f98b46152f | [
"MIT"
] | 5 | 2020-04-29T18:20:23.000Z | 2022-03-07T20:29:43.000Z | #!/usr/bin/env python3
# Compatible with Python 2.7 and 3.2+, can be used either as a module
# or a standalone executable.
#
# Copyright 2017, 2018 Institute of Formal and Applied Linguistics (UFAL),
# Faculty of Mathematics and Physics, Charles University, Czech Republic.
#
# This Source Code Form is subject to the t... | 47.484452 | 163 | 0.588943 |
33cdd9c285526484ec8954e6dcec64331b4d3416 | 63 | py | Python | paranoidsessions/models.py | mdineen/django-paranoid-sessions | 3f0107d36dcc1411d141c895775e51a23e42c593 | [
"MIT"
] | 2 | 2017-03-10T23:22:07.000Z | 2019-10-10T01:13:16.000Z | paranoidsessions/models.py | mdineen/django-paranoid-sessions | 3f0107d36dcc1411d141c895775e51a23e42c593 | [
"MIT"
] | 2 | 2018-02-25T01:53:35.000Z | 2018-02-25T01:53:44.000Z | paranoidsessions/models.py | mdineen/django-paranoid-sessions | 3f0107d36dcc1411d141c895775e51a23e42c593 | [
"MIT"
] | 3 | 2015-02-20T06:16:19.000Z | 2016-02-24T23:37:02.000Z | # No models, just need to convince Django I'm a legitimate app
| 31.5 | 62 | 0.761905 |
33cdf91166afd975166636697dfd1033713d830f | 614 | py | Python | tql/utils/config/timer.py | Jie-Yuan/1_DataMining | f5338388b4f883233f350d4fb9c5903180883430 | [
"Apache-2.0"
] | 14 | 2019-06-25T13:46:32.000Z | 2020-10-27T02:04:59.000Z | tql/utils/config/timer.py | Jie-Yuan/2_DataMining | f5338388b4f883233f350d4fb9c5903180883430 | [
"Apache-2.0"
] | null | null | null | tql/utils/config/timer.py | Jie-Yuan/2_DataMining | f5338388b4f883233f350d4fb9c5903180883430 | [
"Apache-2.0"
] | 7 | 2019-06-25T13:26:16.000Z | 2020-10-27T02:05:03.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Project : tql-Python.
# @File : timer
# @Time : 2019-06-20 11:26
# @Author : yuanjie
# @Email : yuanjie@xiaomi.com
# @Software : PyCharm
# @Description :
import time
from contextlib import contextmanager
from .. import cprint
@co... | 26.695652 | 92 | 0.614007 |
33ce03d4a9ee364e4d41a5b98c587ac610bcec91 | 400 | py | Python | expfactory_deploy/experiments/migrations/0012_repoorigin_name.py | rwblair/expfactory-deploy | 509b74fc16b70234b448a727c4fe7759fb6057c8 | [
"MIT"
] | null | null | null | expfactory_deploy/experiments/migrations/0012_repoorigin_name.py | rwblair/expfactory-deploy | 509b74fc16b70234b448a727c4fe7759fb6057c8 | [
"MIT"
] | 31 | 2021-03-08T21:30:47.000Z | 2022-03-01T12:09:09.000Z | expfactory_deploy/experiments/migrations/0012_repoorigin_name.py | rwblair/expfactory-deploy | 509b74fc16b70234b448a727c4fe7759fb6057c8 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.7 on 2021-11-17 22:23
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('experiments', '0011_auto_20211029_1829'),
]
operations = [
migrations.AddField(
model_name='repoorigin',
name='name'... | 21.052632 | 60 | 0.605 |
33ce2648fa70989b93d414c4714fc2aff6937085 | 2,171 | py | Python | tests/trinity/core/p2p-proto/test_node_data_request_object.py | jin10086/py-evm | da04e8de42fdbf3bc5ca596f5f6b3d810c1afea8 | [
"MIT"
] | 5 | 2018-09-28T20:01:42.000Z | 2022-02-22T19:54:46.000Z | tests/trinity/core/p2p-proto/test_node_data_request_object.py | jin10086/py-evm | da04e8de42fdbf3bc5ca596f5f6b3d810c1afea8 | [
"MIT"
] | 2 | 2019-04-30T06:22:12.000Z | 2019-06-14T04:27:18.000Z | tests/trinity/core/p2p-proto/test_node_data_request_object.py | jin10086/py-evm | da04e8de42fdbf3bc5ca596f5f6b3d810c1afea8 | [
"MIT"
] | 2 | 2019-09-05T01:31:56.000Z | 2019-09-17T09:09:16.000Z | import os
import random
import pytest
from eth_utils import (
keccak,
ValidationError,
)
from trinity.protocol.eth.validators import GetNodeDataValidator
def mk_node():
node_length = random.randint(0, 2048)
node = os.urandom(node_length)
return node
def mk_node_data(n):
if n == 0:
... | 27.833333 | 76 | 0.739751 |
33ce2c5011efecaeed9583a7e80c76cd161dd621 | 2,680 | py | Python | qnarre/prep/config/led.py | quantapix/qnarre.com | f51d5945c20ef8182c4aa11f1b407d064c190c70 | [
"MIT"
] | null | null | null | qnarre/prep/config/led.py | quantapix/qnarre.com | f51d5945c20ef8182c4aa11f1b407d064c190c70 | [
"MIT"
] | null | null | null | qnarre/prep/config/led.py | quantapix/qnarre.com | f51d5945c20ef8182c4aa11f1b407d064c190c70 | [
"MIT"
] | null | null | null | # Copyright 2022 Quantapix Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 33.924051 | 103 | 0.593284 |
33ce366363e98d4cd038c0f93654dbe8e228fb90 | 5,556 | py | Python | analysis_scripts/macros/fiji_z_align1.py | SpeerLab/STORM-UI- | 232752dfa11e0fd2f4fda9fe0db36ac3ceb953d3 | [
"MIT"
] | 1 | 2021-12-03T11:59:40.000Z | 2021-12-03T11:59:40.000Z | analysis_scripts/macros/fiji_z_align1.py | SpeerLab/STORM-UI | 232752dfa11e0fd2f4fda9fe0db36ac3ceb953d3 | [
"MIT"
] | null | null | null | analysis_scripts/macros/fiji_z_align1.py | SpeerLab/STORM-UI | 232752dfa11e0fd2f4fda9fe0db36ac3ceb953d3 | [
"MIT"
] | null | null | null | import os, re, time
import glob
from ini.trakem2 import ControlWindow, Project
from ini.trakem2.display import Display, Patch, LayerSet
from java.awt import Color
from ij import IJ
import math
from ij.process import ImageStatistics as IS
from ij import Prefs
from ij import ImagePlus
argv = getArgument()
arg_array =... | 32.115607 | 128 | 0.695824 |
33ce47368641dc143038b03dd15f2a6553fa1898 | 3,858 | py | Python | extensions/iocompython/examples/ispy/iodevice.py | iocafe/iocom | 9762b78fa1591994c74ed1fc6fe23b9ef44e0dff | [
"MIT"
] | 1 | 2020-04-28T23:25:50.000Z | 2020-04-28T23:25:50.000Z | extensions/iocompython/examples/ispy/iodevice.py | iocafe/iocom | 9762b78fa1591994c74ed1fc6fe23b9ef44e0dff | [
"MIT"
] | 11 | 2020-01-30T16:27:24.000Z | 2020-08-09T06:25:06.000Z | extensions/iocompython/examples/ispy/iodevice.py | iocafe/iocom | 9762b78fa1591994c74ed1fc6fe23b9ef44e0dff | [
"MIT"
] | null | null | null | from kivy.config import ConfigParser
import json
from panel import Panel
from iocompython import Root, MemoryBlock, bin2json
# Size excludes signal state byte.
osal_typeinfo = {
"undef" : 0,
"boolean" : 1,
"char" : 1,
"uchar" : 1,
"short" : 2,
"ushort" : 2,
"int" : 4,
"uint" : 4,
... | 28.791045 | 89 | 0.571021 |
33ce546d6790ef2628277d11ea3698960c787f56 | 4,707 | py | Python | wimp/xsec/SDNormalization.py | lopez86/WimpSim | 096cf9f3e3e3d8e4552418a9f4f690593d099160 | [
"MIT"
] | 2 | 2020-09-25T10:48:24.000Z | 2020-12-29T19:56:04.000Z | wimp/xsec/SDNormalization.py | lopez86/WimpSim | 096cf9f3e3e3d8e4552418a9f4f690593d099160 | [
"MIT"
] | 1 | 2017-06-12T01:12:15.000Z | 2017-06-17T06:33:16.000Z | wimp/xsec/SDNormalization.py | lopez86/PyWIMPs | 096cf9f3e3e3d8e4552418a9f4f690593d099160 | [
"MIT"
] | null | null | null | """ SDNormalization.py
Normalize a nuclear cross section to a nucleon
cross section.
"""
__author__ = "Jeremy P. Lopez"
__date__ = "June 2017"
__copyright__ = "(c) 2017, Jeremy P. Lopez"
import numpy as np
class SDNormalization:
""" Class to normalize a spin-dependent cross section
to a... | 32.462069 | 86 | 0.534523 |
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