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22892635c988f34b654c60f02e026254afa31ea3 | 6,210 | py | Python | hw/rmnist.py | vihari/CSD | 9902cdc8ea54f2650cd1396f904a06598a864a76 | [
"MIT"
] | 41 | 2020-05-01T10:08:26.000Z | 2021-12-21T12:47:53.000Z | hw/rmnist.py | kevinbro96/CSD | 9902cdc8ea54f2650cd1396f904a06598a864a76 | [
"MIT"
] | 6 | 2020-07-10T03:48:16.000Z | 2021-07-21T06:49:05.000Z | hw/rmnist.py | kevinbro96/CSD | 9902cdc8ea54f2650cd1396f904a06598a864a76 | [
"MIT"
] | 6 | 2020-06-07T13:57:36.000Z | 2021-12-09T11:52:39.000Z | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 36.315789 | 114 | 0.703865 | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 0 | 0 | 0 | 0 | 0 | 4,503 | 0 | -4 | 181 |
4395828f7160f986e3513ec5a042011bcc7933d9 | 5,193 | py | Python | appimagebuilder/__main__.py | mssalvatore/appimage-builder | 2ecb7973cedfff9d03a21258419e515c48cafe84 | [
"MIT"
] | null | null | null | appimagebuilder/__main__.py | mssalvatore/appimage-builder | 2ecb7973cedfff9d03a21258419e515c48cafe84 | [
"MIT"
] | null | null | null | appimagebuilder/__main__.py | mssalvatore/appimage-builder | 2ecb7973cedfff9d03a21258419e515c48cafe84 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright 2020 Alexis Lopez Zubieta
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation the
# rights to use, cop... | 32.867089 | 88 | 0.629886 | #!/usr/bin/env python3
# Copyright 2020 Alexis Lopez Zubieta
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation the
# rights to use, cop... | 0 | 0 | 0 | 0 | 0 | 3,974 | 0 | 168 | 291 |
c3cc1bbc8361fb79bfc3929e7c307b0d7476fa52 | 8,616 | py | Python | python/coursera_python/IBM/FakeAlbumCoverGame.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/coursera_python/IBM/FakeAlbumCoverGame.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/coursera_python/IBM/FakeAlbumCoverGame.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z |
# coding: utf-8
# <div class="alert alert-block alert-info" style="margin-top: 20px">
# <a href="http://cocl.us/NotebooksPython101"><img src = "https://ibm.box.com/shared/static/yfe6h4az47ktg2mm9h05wby2n7e8kei3.png" width = 750, align = "center"></a>
# <a href="https://www.bigdatauniversity.com"><img src = "https:... | 36.201681 | 520 | 0.709262 |
# coding: utf-8
# <div class="alert alert-block alert-info" style="margin-top: 20px">
# <a href="http://cocl.us/NotebooksPython101"><img src = "https://ibm.box.com/shared/static/yfe6h4az47ktg2mm9h05wby2n7e8kei3.png" width = 750, align = "center"></a>
# <a href="https://www.bigdatauniversity.com"><img src = "https:... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5ac1a60094da7f7d24954f092d12c53c1fb20c08 | 1,915 | py | Python | src/create_feature_descriptor.py | gmaher/cmd_tools | 27f31eadca16e5fb7e4175ff3d6dd5881bfa3e27 | [
"MIT"
] | null | null | null | src/create_feature_descriptor.py | gmaher/cmd_tools | 27f31eadca16e5fb7e4175ff3d6dd5881bfa3e27 | [
"MIT"
] | null | null | null | src/create_feature_descriptor.py | gmaher/cmd_tools | 27f31eadca16e5fb7e4175ff3d6dd5881bfa3e27 | [
"MIT"
] | null | null | null | import os
import json
import argparse
from tqdm import tqdm
parser = argparse.ArgumentParser()
parser.add_argument('-input')
parser.add_argument('-output_dir')
parser.add_argument('-override_file',type=str,default="")
args = parser.parse_args()
input_ = os.path.abspath(args.input)
files = os.listdir(input_)
files =... | 25.197368 | 66 | 0.627676 | import os
import json
import argparse
import pandas as pd
from tqdm import tqdm
from dateutil.parser import parse
def is_date_func(string):
try:
parse(string)
return True
except:
return False
parser = argparse.ArgumentParser()
parser.add_argument('-input')
parser.add_argument('-output... | 0 | 0 | 0 | 0 | 0 | 88 | 0 | 10 | 68 |
bfaf623c08a95eaf936f8bdf7d57dc7654bcf392 | 1,425 | py | Python | src/utils.py | uvipen/QuickDraw-AirGesture-tensorflow | 377f3344e37496306d12c753794b06ddca84c3f3 | [
"MIT"
] | 94 | 2021-07-12T13:02:40.000Z | 2022-02-15T10:48:57.000Z | src/utils.py | haoict/QuickDraw-AirGesture-tensorflow | 3e11cf12a08d3ebf012d20ff0ebb44afdfb17bad | [
"MIT"
] | null | null | null | src/utils.py | haoict/QuickDraw-AirGesture-tensorflow | 3e11cf12a08d3ebf012d20ff0ebb44afdfb17bad | [
"MIT"
] | 24 | 2021-07-12T13:02:03.000Z | 2021-12-06T09:42:45.000Z | """
@author: Viet Nguyen <nhviet1009@gmail.com>
"""
from collections import OrderedDict
# https://github.com/tensorflow/datasets/blob/master/tensorflow_datasets/image_classification/quickdraw_labels.txt
# Rule: key of category = index -1, with index from the link above
CLASS_IDS = OrderedDict()
CLASS_IDS[8] = "apple"... | 29.6875 | 114 | 0.698246 | """
@author: Viet Nguyen <nhviet1009@gmail.com>
"""
import cv2
import numpy as np
from collections import OrderedDict
# https://github.com/tensorflow/datasets/blob/master/tensorflow_datasets/image_classification/quickdraw_labels.txt
# Rule: key of category = index -1, with index from the link above
CLASS_IDS = Ordere... | 0 | 0 | 0 | 0 | 0 | 596 | 0 | -14 | 90 |
a4c89ea15ba64b8b6f264c35fcaeb76de5ace39c | 6,496 | py | Python | reinvent-2019/connected-photo-booth/py_client/config.py | chriscoombs/aws-builders-fair-projects | eee405931030b833fa8c51e906c73d09ce051bcd | [
"Apache-2.0"
] | null | null | null | reinvent-2019/connected-photo-booth/py_client/config.py | chriscoombs/aws-builders-fair-projects | eee405931030b833fa8c51e906c73d09ce051bcd | [
"Apache-2.0"
] | null | null | null | reinvent-2019/connected-photo-booth/py_client/config.py | chriscoombs/aws-builders-fair-projects | eee405931030b833fa8c51e906c73d09ce051bcd | [
"Apache-2.0"
] | null | null | null |
__CONFIG_FILE_PATH__ = "cerebro.config"
__SSM_BASE_PATH__ = "/Cerebro"
| 26.406504 | 114 | 0.671952 | import boto3
import botocore
import os
import glob
import json
import requests
from datetime import datetime
from time import sleep
from time import gmtime, strftime
import sys, getopt
import argparse
import subprocess
from shutil import copyfile, rmtree
import logging
import configparser
__CONFIG_FILE_PATH__ ... | 0 | 3,153 | 0 | 2,949 | 0 | 0 | 0 | -40 | 361 |
56e7ca0fc7489f5c223fc37faf7817929b1b8643 | 2,240 | py | Python | convert_hdf52recordio.py | Helmholtz-AI-Energy/mlperf-deepcam | d4869bce18029cc9877d7ed04178d6e4ca73a411 | [
"MIT"
] | 3 | 2021-11-18T20:01:35.000Z | 2021-12-17T17:47:23.000Z | convert_hdf52recordio.py | Helmholtz-AI-Energy/mlperf-deepcam | d4869bce18029cc9877d7ed04178d6e4ca73a411 | [
"MIT"
] | 1 | 2022-03-16T07:29:30.000Z | 2022-03-31T10:19:07.000Z | convert_hdf52recordio.py | Helmholtz-AI-Energy/mlperf-deepcam | d4869bce18029cc9877d7ed04178d6e4ca73a411 | [
"MIT"
] | 1 | 2021-11-18T01:53:25.000Z | 2021-11-18T01:53:25.000Z | import argparse as ap
if __name__ == "__main__":
AP = ap.ArgumentParser()
AP.add_argument("--input_directory", type=str, help="Directory with input files", required = True)
AP.add_argument("--output_directory", type=str, help="Directory for output files", required = True)
AP.add_argumen... | 29.473684 | 131 | 0.647768 | import os
import sys
import glob
import h5py as h5
import numpy as np
import math
import argparse as ap
import mxnet as mx
from mpi4py import MPI
def filter_func(item, lst):
item = os.path.basename(item).replace(".h5", ".npy")
return item not in lst
def read(ifname):
with h5.File(ifname, 'r') as f:
... | 0 | 0 | 0 | 0 | 0 | 1,594 | 0 | -52 | 245 |
ea7ea6e4956da5520f3970ca5834c2b81388da01 | 754 | py | Python | setup.py | nkennek/pytorch-cnn-visualizations | 54699710b1beae1edae4bc12e9403080191c40ed | [
"MIT"
] | null | null | null | setup.py | nkennek/pytorch-cnn-visualizations | 54699710b1beae1edae4bc12e9403080191c40ed | [
"MIT"
] | null | null | null | setup.py | nkennek/pytorch-cnn-visualizations | 54699710b1beae1edae4bc12e9403080191c40ed | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
setup(
name='pytorch-cnn-visualization',
version='0.0',
description='pytorch implementation of CNN visualization techniques',
packages=find_packages(),
include_package_data=True,
install_requires=[
... | 21.542857 | 73 | 0.485411 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
setup(
name='pytorch-cnn-visualization',
version='0.0',
description='pytorch implementation of CNN visualization techniques',
packages=find_packages(),
include_package_data=True,
install_requires=[
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
eef9139890c2b1751504590b390a2fe9c136409e | 3,840 | py | Python | replication_handler/models/mysql_dumps.py | ywlianghang/mysql_streamer | 7fc85efaca3db6a387ea4b791632c2df2d04cb3e | [
"Apache-2.0"
] | 419 | 2016-11-17T18:41:47.000Z | 2022-03-14T02:50:02.000Z | replication_handler/models/mysql_dumps.py | ywlianghang/mysql_streamer | 7fc85efaca3db6a387ea4b791632c2df2d04cb3e | [
"Apache-2.0"
] | 19 | 2016-11-30T18:09:00.000Z | 2019-04-02T06:20:02.000Z | replication_handler/models/mysql_dumps.py | ywlianghang/mysql_streamer | 7fc85efaca3db6a387ea4b791632c2df2d04cb3e | [
"Apache-2.0"
] | 90 | 2016-11-23T06:26:20.000Z | 2022-01-22T09:24:42.000Z | # -*- coding: utf-8 -*-
# Copyright 2016 Yelp Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 33.982301 | 81 | 0.654167 | # -*- coding: utf-8 -*-
# Copyright 2016 Yelp Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 0 | 2,381 | 0 | 455 | 0 | 0 | 0 | 58 | 181 |
38a4e46d7b35ffafb2edb463735f6e74a3e69b52 | 12,614 | py | Python | mordred/_base/calculator.py | zhengfj1994/mordred | 2848b088fd7b6735590242b5e22573babc724f10 | [
"BSD-3-Clause"
] | 1 | 2019-09-12T03:38:47.000Z | 2019-09-12T03:38:47.000Z | mordred/_base/calculator.py | zhengfj1994/mordred | 2848b088fd7b6735590242b5e22573babc724f10 | [
"BSD-3-Clause"
] | null | null | null | mordred/_base/calculator.py | zhengfj1994/mordred | 2848b088fd7b6735590242b5e22573babc724f10 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import print_function
import warnings
from types import ModuleType
from .._util import DummyBar
from .descriptor import is_descriptor_class
try:
from tqdm import tqdm
from .._util import NotebookWrapper
except ImportError:
tqdm = NotebookWrapper = DummyBar
def get_descriptors_from_module... | 27.968958 | 99 | 0.570002 | from __future__ import print_function
import sys
import warnings
from types import ModuleType
from contextlib import contextmanager
from multiprocessing import cpu_count
from distutils.version import StrictVersion
from .result import Result
from .._util import Capture, DummyBar
from ..error import Error, Missing, Mul... | 0 | 1,293 | 0 | 8,976 | 744 | 0 | 0 | 170 | 224 |
cea0480cc90d81ea261b1a8a170bb14ba568725e | 584 | py | Python | tests/type/any_type/test_equality.py | llambeau/finitio.py | 27c2799709993c6edb9d9038290792ed90a97346 | [
"0BSD"
] | 1 | 2016-02-06T17:16:22.000Z | 2016-02-06T17:16:22.000Z | tests/type/any_type/test_equality.py | llambeau/finitio.py | 27c2799709993c6edb9d9038290792ed90a97346 | [
"0BSD"
] | null | null | null | tests/type/any_type/test_equality.py | llambeau/finitio.py | 27c2799709993c6edb9d9038290792ed90a97346 | [
"0BSD"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_equality
----------------------------------
Tests for the `AnyType` __eq__ method
"""
import unittest
if __name__ == '__main__':
import sys
sys.exit(unittest.main())
| 19.466667 | 73 | 0.672945 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_equality
----------------------------------
Tests for the `AnyType` __eq__ method
"""
import unittest
from finitio.types import AnyType
class TestAnyTypeEq(unittest.TestCase):
_type = AnyType()
_type2 = AnyType()
def test_it_should_apply_structu... | 0 | 0 | 0 | 292 | 0 | 0 | 0 | 12 | 46 |
7418a9ede9105dcc2f6808eb0451d86e1f5d6771 | 2,294 | py | Python | PARAMETERS.py | sk-stm/banana_project | 56423e0b516297652eb402a4a70559b2afd8c8a1 | [
"MIT"
] | null | null | null | PARAMETERS.py | sk-stm/banana_project | 56423e0b516297652eb402a4a70559b2afd8c8a1 | [
"MIT"
] | null | null | null | PARAMETERS.py | sk-stm/banana_project | 56423e0b516297652eb402a4a70559b2afd8c8a1 | [
"MIT"
] | null | null | null | # # DQN agent
# # agent hyper parameters
# N_EPISODES = 2000 # how many episodes to train
# MAX_T = 10000 # maximum steps per episode
# EPS_START = 1.0 # start values of epsilon (for epsilon greedy exploration)
# EPS_END = 0.01 # minimum value of epsilon
# EPS_DECAY = 0.995 # decay rate of epsilon new_eps = old_ep... | 34.757576 | 88 | 0.723627 | # # DQN agent
# # agent hyper parameters
# N_EPISODES = 2000 # how many episodes to train
# MAX_T = 10000 # maximum steps per episode
# EPS_START = 1.0 # start values of epsilon (for epsilon greedy exploration)
# EPS_END = 0.01 # minimum value of epsilon
# EPS_DECAY = 0.995 # decay rate of epsilon new_eps = old_ep... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c08004c116c9dc2c7e5db2068d81bd9605d565f8 | 2,495 | py | Python | dataset_scripts/xml_detects_creator.py | shpotes/self-driving-car | 7329e6213c483a7695ab4e97cf16c93ce6d0b25f | [
"MIT"
] | 1 | 2019-06-02T22:27:31.000Z | 2019-06-02T22:27:31.000Z | dataset_scripts/xml_detects_creator.py | shpotes/self-driving-car | 7329e6213c483a7695ab4e97cf16c93ce6d0b25f | [
"MIT"
] | null | null | null | dataset_scripts/xml_detects_creator.py | shpotes/self-driving-car | 7329e6213c483a7695ab4e97cf16c93ce6d0b25f | [
"MIT"
] | null | null | null | # import dlib
if __name__ == '__main__':
main() | 28.352273 | 105 | 0.644088 | import imutils
# import dlib
import cv2
import datetime
import glob
import sys
def main():
# construct the argument parser and parse the arguments
# initialize dlib's face detector (HOG-based) and then create
# the facial landmark predictor
#detector = dlib.get_frontal_face_detector()
#predictor = dlib.shape_pre... | 0 | 0 | 0 | 0 | 0 | 2,356 | 0 | -45 | 133 |
4014f038ccad19cb9b43c7a5f154e829057d1c39 | 443 | py | Python | app.py | 0xAurelius/playgrounds | 510bea031df6079e060b1bf3ba7399d45d00e050 | [
"MIT"
] | null | null | null | app.py | 0xAurelius/playgrounds | 510bea031df6079e060b1bf3ba7399d45d00e050 | [
"MIT"
] | 4 | 2021-11-17T20:18:55.000Z | 2022-01-12T18:06:58.000Z | app.py | 0xAurelius/playgrounds | 510bea031df6079e060b1bf3ba7399d45d00e050 | [
"MIT"
] | null | null | null | import dash
import dash_bootstrap_components as dbc
from utils import load_config
config = load_config()
protocol = config['protocol']
app = dash.Dash(
__name__,
external_stylesheets=[dbc.themes.DARKLY],
suppress_callback_exceptions=True,
title=f"{protocol} Playgrounds",
meta_tags=[{
'nam... | 23.315789 | 97 | 0.69526 | import dash
import dash_bootstrap_components as dbc
from utils import load_config
config = load_config()
protocol = config['protocol']
app = dash.Dash(
__name__,
external_stylesheets=[dbc.themes.DARKLY],
suppress_callback_exceptions=True,
title=f"{protocol} Playgrounds",
meta_tags=[{
'nam... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ccef29cabcdead762aa3b1c5fa4b620d44ce3602 | 337 | py | Python | Codewars/8kyu/geometry-basics-circle-area-in-2d/Python/test.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | 7 | 2017-09-20T16:40:39.000Z | 2021-08-31T18:15:08.000Z | Codewars/8kyu/geometry-basics-circle-area-in-2d/Python/test.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | null | null | null | Codewars/8kyu/geometry-basics-circle-area-in-2d/Python/test.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | null | null | null | # Python - 3.6.0
test.assert_equals(round(circle_area(Circle(Point(10, 10), 30)), 6), 2827.433388)
test.assert_equals(round(circle_area(Circle(Point(25, -70), 30)), 6), 2827.433388)
test.assert_equals(round(circle_area(Circle(Point(-15, 5), 0)), 6), 0)
test.assert_equals(round(circle_area(Circle(Point(-15, 5), 12.5)),... | 48.142857 | 82 | 0.715134 | # Python - 3.6.0
test.assert_equals(round(circle_area(Circle(Point(10, 10), 30)), 6), 2827.433388)
test.assert_equals(round(circle_area(Circle(Point(25, -70), 30)), 6), 2827.433388)
test.assert_equals(round(circle_area(Circle(Point(-15, 5), 0)), 6), 0)
test.assert_equals(round(circle_area(Circle(Point(-15, 5), 12.5)),... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2ecce8e6510586c097a7c41d462e2fca1a437b5d | 1,663 | py | Python | paddlenlp/taskflow/utils.py | a5116638/PaddleNLP | 37a95ae3c0d317aff09f76f79484208354db1e36 | [
"Apache-2.0"
] | 1 | 2021-09-29T06:05:13.000Z | 2021-09-29T06:05:13.000Z | paddlenlp/taskflow/utils.py | svs1984/PaddleNLP | 9eb9e23b01d044706c789158ac6cf0d365aea848 | [
"Apache-2.0"
] | null | null | null | paddlenlp/taskflow/utils.py | svs1984/PaddleNLP | 9eb9e23b01d044706c789158ac6cf0d365aea848 | [
"Apache-2.0"
] | null | null | null | # coding:utf-8
# Copyright (c) 2021 PaddlePaddle 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 req... | 39.595238 | 104 | 0.725195 | # coding:utf-8
# Copyright (c) 2021 PaddlePaddle 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 req... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
37932ce90f945a2abf6aae9ca6759bd8c18500f4 | 13,160 | py | Python | build.py | secure-foundations/veri-titan | f7e4b434fd2ab85642aeb1fc4d7c34c28c678d3c | [
"MIT"
] | 10 | 2020-06-26T17:14:49.000Z | 2022-03-31T16:29:01.000Z | build.py | secure-foundations/veri-titan | f7e4b434fd2ab85642aeb1fc4d7c34c28c678d3c | [
"MIT"
] | 2 | 2021-04-06T14:06:34.000Z | 2022-03-09T00:01:14.000Z | build.py | secure-foundations/veri-titan | f7e4b434fd2ab85642aeb1fc4d7c34c28c678d3c | [
"MIT"
] | 4 | 2020-06-11T02:39:15.000Z | 2022-01-27T09:46:08.000Z | #!/usr/bin/env python
import re
TOOLS_DIR = "./tools"
DAFNY_PATH = "./tools/dafny/dafny"
VALE_PATH = "./tools/vale/bin/vale"
DAFNY_LIB_DIR = "./std_lib"
DAFNY_LIB_HASH = "84d160538b6442017a5401feb91265147bf34bfc"
DAFNY_ZIP_LINUX = "dafny-3.0.0-x64-ubuntu-16.04.zip"
DAFNY_ZIP_MACOS = "dafny-3.0.0-x64-osx-10.14.2.zip... | 31.111111 | 150 | 0.629027 | #!/usr/bin/env python
import sys, os, subprocess, re, platform
from subprocess import PIPE, Popen
from os.path import exists
TOOLS_DIR = "./tools"
DAFNY_PATH = "./tools/dafny/dafny"
VALE_PATH = "./tools/vale/bin/vale"
DAFNY_LIB_DIR = "./std_lib"
DAFNY_LIB_HASH = "84d160538b6442017a5401feb91265147bf34bfc"
DAFNY_ZIP_... | 0 | 0 | 0 | 2,447 | 0 | 8,955 | 0 | 49 | 481 |
c014c57708ea670205d0e1b85a67761597da2bbc | 2,701 | py | Python | test.py | emboiko/Socket_Singleton | e44e8230daa5167c92f9519c73a2374a3d279cbc | [
"MIT"
] | 1 | 2021-08-01T06:12:49.000Z | 2021-08-01T06:12:49.000Z | test.py | emboiko/Socket_Singleton | e44e8230daa5167c92f9519c73a2374a3d279cbc | [
"MIT"
] | null | null | null | test.py | emboiko/Socket_Singleton | e44e8230daa5167c92f9519c73a2374a3d279cbc | [
"MIT"
] | null | null | null | import unittest
if __name__ == "__main__":
unittest.main()
| 31.045977 | 86 | 0.670863 | import unittest
from time import sleep
from subprocess import run
from src.Socket_Singleton import Socket_Singleton, MultipleSingletonsError
class TestMain(unittest.TestCase):
def setUp(self):
self.app = Socket_Singleton()
self.traced_args = []
def test_default(self):
result = run("t... | 0 | 0 | 0 | 2,487 | 0 | 0 | 0 | 59 | 89 |
14c7ea14a7df31fd177851177e74b5d33195f582 | 533 | py | Python | Wikipedia search.py | Behordeun/simple-python-projects | c2d088a2c1ebd842ca4d9817d569da4fd6b7f637 | [
"Apache-2.0"
] | 1 | 2021-09-09T10:55:23.000Z | 2021-09-09T10:55:23.000Z | Wikipedia search.py | Behordeun/simple-python-projects | c2d088a2c1ebd842ca4d9817d569da4fd6b7f637 | [
"Apache-2.0"
] | null | null | null | Wikipedia search.py | Behordeun/simple-python-projects | c2d088a2c1ebd842ca4d9817d569da4fd6b7f637 | [
"Apache-2.0"
] | null | null | null |
root = Tk()
root.title("Wikipedia Search")
root.geometry("400x400")
frame = Frame(root)
input = Entry(frame, width = 30)
input.pack()
result = ""
text = Text(root, font = ("arial", 20))
button = Button(frame, text="Search", command=search)
button.pack(side = RIGHT)
frame.pack(side = TOP)
text.pack()
root.mainloop() | 21.32 | 53 | 0.69606 | from tensorboard import summary
from tkinter import *
import wikipedia
root = Tk()
root.title("Wikipedia Search")
root.geometry("400x400")
frame = Frame(root)
input = Entry(frame, width = 30)
input.pack()
result = ""
text = Text(root, font = ("arial", 20))
def search():
global result
result = input.get()
... | 0 | 0 | 0 | 0 | 0 | 120 | 0 | 5 | 89 |
7afd3df22ba47b8d1930eeb3a5534f705fbda846 | 456 | py | Python | students/k3342/laboratory_works/Kocheshkova_Kseniia/laboratory_work_1/flights/migrations/0004_auto_20201101_2206.py | Derimeer/ITMO_ICT_WebProgramming_2020 | afb4999d20d59c5d47e4f380e8ba06204a42c729 | [
"MIT"
] | null | null | null | students/k3342/laboratory_works/Kocheshkova_Kseniia/laboratory_work_1/flights/migrations/0004_auto_20201101_2206.py | Derimeer/ITMO_ICT_WebProgramming_2020 | afb4999d20d59c5d47e4f380e8ba06204a42c729 | [
"MIT"
] | null | null | null | students/k3342/laboratory_works/Kocheshkova_Kseniia/laboratory_work_1/flights/migrations/0004_auto_20201101_2206.py | Derimeer/ITMO_ICT_WebProgramming_2020 | afb4999d20d59c5d47e4f380e8ba06204a42c729 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.2 on 2020-11-01 19:06
| 24 | 120 | 0.596491 | # Generated by Django 3.1.2 on 2020-11-01 19:06
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('flights', '0003_flight_number_flight'),
]
operations = [
migrations.AlterField(
model_name='flight',
name='type',
... | 0 | 0 | 0 | 342 | 0 | 0 | 0 | 19 | 46 |
ed46fa2cc80b4b07d8ccd05414bb5d2f39219bbd | 14,476 | py | Python | ddnet/ddnet.py | fzqneo/DD-Net | bde4c01d7378582dfa84f98a3affa84931f64ca1 | [
"MIT"
] | null | null | null | ddnet/ddnet.py | fzqneo/DD-Net | bde4c01d7378582dfa84f98a3affa84931f64ca1 | [
"MIT"
] | null | null | null | ddnet/ddnet.py | fzqneo/DD-Net | bde4c01d7378582dfa84f98a3affa84931f64ca1 | [
"MIT"
] | null | null | null | import numpy as np
import scipy.ndimage.interpolation as inter
from scipy.signal import medfilt
from scipy.spatial.distance import cdist
#######################################################
## Public functions
#######################################################
#################################################... | 32.677201 | 133 | 0.579649 | import numpy as np
import scipy.ndimage.interpolation as inter
import tensorflow as tf
from keras import backend as K
from keras import regularizers
from keras.layers import *
from keras.layers.convolutional import *
from keras.layers.core import *
from keras.models import Model, load_model
from keras.optimizers import... | 0 | 2,592 | 0 | 2,570 | 0 | 3,281 | 0 | 84 | 506 |
758c8e0bb0787b888692896184c923a6e803e43e | 1,188 | py | Python | tests/flask/test_template.py | odahu/odahuPackager | 35839d257c7a471541026bb9418072110190d29f | [
"ECL-2.0",
"Apache-2.0"
] | 7 | 2020-01-27T12:44:54.000Z | 2021-07-21T02:22:26.000Z | tests/flask/test_template.py | odahu/odahuPackager | 35839d257c7a471541026bb9418072110190d29f | [
"ECL-2.0",
"Apache-2.0"
] | 19 | 2019-11-28T18:45:27.000Z | 2022-01-14T08:41:09.000Z | tests/flask/test_template.py | odahu/odahuPackager | 35839d257c7a471541026bb9418072110190d29f | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright 2020 EPAM Systems
#
# 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 writin... | 36 | 80 | 0.740741 | # Copyright 2020 EPAM Systems
#
# 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 writin... | 0 | 0 | 0 | 0 | 0 | 441 | 0 | 96 | 68 |
b4d3f9914e42a85151f9ba1a4493866d2ca72d28 | 536 | py | Python | test/ResultsAndPrizes/zodiac/test_zodiac_results_of_the_last_draw.py | FearFactor1/SPA | a05aaa924c5bebb52cd508ebdf7fd3b81c49fac7 | [
"Apache-2.0"
] | 1 | 2019-12-05T06:50:54.000Z | 2019-12-05T06:50:54.000Z | test/ResultsAndPrizes/zodiac/test_zodiac_results_of_the_last_draw.py | FearFactor1/SPA | a05aaa924c5bebb52cd508ebdf7fd3b81c49fac7 | [
"Apache-2.0"
] | null | null | null | test/ResultsAndPrizes/zodiac/test_zodiac_results_of_the_last_draw.py | FearFactor1/SPA | a05aaa924c5bebb52cd508ebdf7fd3b81c49fac7 | [
"Apache-2.0"
] | null | null | null | # +
| 41.230769 | 82 | 0.826493 | # зодиак + Результаты последнего тиража
def test_zodiac_results_last_draw(app):
app.ResultAndPrizes.open_page_results_and_prizes()
app.ResultAndPrizes.click_game_zodiac()
app.ResultAndPrizes.click_results_of_the_last_draw()
app.ResultAndPrizes.button_get_report_winners()
app.ResultAndPrizes.parse... | 96 | 0 | 0 | 0 | 0 | 456 | 0 | 0 | 23 |
066863fb285e7985e22baf254e538f1c8ce1832e | 2,082 | py | Python | src/lobster.py | gdifiore/lobster | ca556ee70ad579b95ac78d525233e0b851cbeb53 | [
"MIT"
] | null | null | null | src/lobster.py | gdifiore/lobster | ca556ee70ad579b95ac78d525233e0b851cbeb53 | [
"MIT"
] | null | null | null | src/lobster.py | gdifiore/lobster | ca556ee70ad579b95ac78d525233e0b851cbeb53 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#
# lobster.py - lobster
#
# (c) gdifiore 2018 <difioregabe@gmail.com>
#
import sys
type = sys.argv[1]
file = sys.argv[2]
theme = sys.argv[3]
if type == "simple":
lobster_data = readJSON(file)
title = getTitle(lobster_data)
header = getHeader(lobster_data)
content= getContent(lo... | 28.520548 | 62 | 0.612872 | #!/usr/bin/env python
#
# lobster.py - lobster
#
# (c) gdifiore 2018 <difioregabe@gmail.com>
#
import os
import sys
import json
from lobster_json import *
from bs4 import BeautifulSoup
type = sys.argv[1]
file = sys.argv[2]
theme = sys.argv[3]
if type == "simple":
def writeToHTML(title, header, content):
... | 0 | 0 | 0 | 0 | 0 | 1,234 | 0 | -9 | 141 |
b41b891967812c7db46e79974d3319938dfddaf5 | 573 | py | Python | lib/nms_cython/setup.py | PJunhyuk/exercise-pose-guide | a2793ede6b150e5ae20185e14f8b4ad3a08f4196 | [
"Apache-2.0"
] | 161 | 2018-02-22T15:15:47.000Z | 2022-02-10T16:40:06.000Z | Chapter04/lib/nms_cython/setup.py | mayurmorin/Computer-Vision-Projects-with-OpenCV-and-Python-3 | bf9041d2804fd76d6a59a8b6f2feb8d50f80c9d3 | [
"MIT"
] | 15 | 2018-03-01T23:18:00.000Z | 2021-05-15T06:23:15.000Z | Chapter04/lib/nms_cython/setup.py | mayurmorin/Computer-Vision-Projects-with-OpenCV-and-Python-3 | bf9041d2804fd76d6a59a8b6f2feb8d50f80c9d3 | [
"MIT"
] | 41 | 2018-03-01T13:03:54.000Z | 2022-02-17T14:32:22.000Z | from setuptools import setup
from Cython.Build import cythonize
from distutils.extension import Extension
import numpy as np
#openmp_arg = '-fopenmp'
#if _platform == "win32":
# openmp_arg = '-openmp'
extensions = [
Extension(
'nms_grid', ['nms_grid.pyx'],
language="c++",
include_dirs=[np.get_include... | 22.038462 | 69 | 0.673647 | from setuptools import setup
from Cython.Build import cythonize
from distutils.extension import Extension
from sys import platform as _platform
import os
import numpy as np
#openmp_arg = '-fopenmp'
#if _platform == "win32":
# openmp_arg = '-openmp'
extensions = [
Extension(
'nms_grid', ['nms_grid.pyx'],
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 44 |
85fd73311ab29b216fc7b92dd55084fe9aacf91e | 9,815 | py | Python | test/test_union.py | Mortal/scalgoproto | b9acfbdcf7cc75d6b673fde64ecd94dbe56738a8 | [
"MIT"
] | null | null | null | test/test_union.py | Mortal/scalgoproto | b9acfbdcf7cc75d6b673fde64ecd94dbe56738a8 | [
"MIT"
] | 26 | 2018-11-18T19:38:09.000Z | 2020-04-14T03:31:06.000Z | test/test_union.py | Mortal/scalgoproto | b9acfbdcf7cc75d6b673fde64ecd94dbe56738a8 | [
"MIT"
] | 2 | 2019-01-03T16:08:15.000Z | 2019-09-23T05:16:55.000Z | # -*- mode: python: return False tab-width: 4: return False indent-tabs-mode: nil: return False python-indent-offset: 4: return False coding: utf-8 -*-
if __name__ == "__main__":
main()
| 30.576324 | 151 | 0.576872 | # -*- mode: python: return False tab-width: 4: return False indent-tabs-mode: nil: return False python-indent-offset: 4: return False coding: utf-8 -*-
import sys
import scalgoproto
import union
from test_base import require2, require, read_in, validate_out, get_v, require_some
def for_copy() -> union.Table3In:
w... | 0 | 0 | 0 | 0 | 0 | 9,400 | 0 | 39 | 180 |
77ed1d01a8b54b550a0d5ac17cedf2c08e1e0481 | 6,880 | py | Python | rrc scripts/scripts/networkRGAN.py | wq13552463699/Real_Robot_Challenge_Phase2_AE_attemp | 280736589077a2179254099ddaf2327752d9321c | [
"MIT"
] | 1 | 2021-11-02T10:48:55.000Z | 2021-11-02T10:48:55.000Z | rrc scripts/scripts/networkRGAN.py | wq13552463699/Real_Robot_Challenge_Phase2_AE_attemp | 280736589077a2179254099ddaf2327752d9321c | [
"MIT"
] | null | null | null | rrc scripts/scripts/networkRGAN.py | wq13552463699/Real_Robot_Challenge_Phase2_AE_attemp | 280736589077a2179254099ddaf2327752d9321c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 12 05:31:02 2021
@author: 14488
"""
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.optim as optim
asize = 1
''' Generator network for 128x128 RGB images '''
''' Discriminator network for 128x128 RGB images '''
# class... | 32 | 105 | 0.461483 | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 12 05:31:02 2021
@author: 14488
"""
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.optim as optim
from torch.autograd import Variable
import torch
import rrc_example_package.scripts.convolutional_rnn
from torch.nn.utils.rnn impor... | 0 | 0 | 0 | 5,321 | 0 | 246 | 0 | 66 | 325 |
f7a85f4ba484b62374b57b5478bfaa096d4ed62c | 1,021 | py | Python | Python/text_to_speech.py | BlackTimber-Labs/DemoPr | 6495b5307323ce17be5071006f1de90a1120edf4 | [
"MIT"
] | 10 | 2021-10-01T15:11:27.000Z | 2021-10-03T10:41:36.000Z | Python/text_to_speech.py | BlackTimber-Labs/DemoPr | 6495b5307323ce17be5071006f1de90a1120edf4 | [
"MIT"
] | 102 | 2021-10-01T14:49:50.000Z | 2021-10-31T17:30:15.000Z | Python/text_to_speech.py | BlackTimber-Labs/DemoPr | 6495b5307323ce17be5071006f1de90a1120edf4 | [
"MIT"
] | 88 | 2021-10-01T14:28:10.000Z | 2021-10-31T12:02:42.000Z | # Import the gTTS module for text
# to speech conversion
from gtts import gTTS
# This module is imported so that we can
# play the converted audio
from playsound import playsound
# It is a text value that we want to convert to audio
text_val = 'Welcome to hacktoberfest 21.Hacktoberfest, in its 8t... | 37.814815 | 313 | 0.740451 | # Import the gTTS module for text
# to speech conversion
from gtts import gTTS
# This module is imported so that we can
# play the converted audio
from playsound import playsound
# It is a text value that we want to convert to audio
text_val = 'Welcome to hacktoberfest 21.Hacktoberfest, in its 8t... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f224bda332d1ba774feb2b9787bb81d6d7f8b0a1 | 384 | py | Python | pytmc/__init__.py | jsheppard95/pytmc | d9383d104393d67df54f5c43cb6a2d552405d5f8 | [
"BSD-3-Clause-LBNL"
] | null | null | null | pytmc/__init__.py | jsheppard95/pytmc | d9383d104393d67df54f5c43cb6a2d552405d5f8 | [
"BSD-3-Clause-LBNL"
] | null | null | null | pytmc/__init__.py | jsheppard95/pytmc | d9383d104393d67df54f5c43cb6a2d552405d5f8 | [
"BSD-3-Clause-LBNL"
] | null | null | null | import logging
from ._version import get_versions # noqa
from .xml_obj import Symbol, DataType, SubItem # noqa
from .xml_collector import TmcFile # noqa
from . import epics # noqa
logger = logging.getLogger(__name__)
__version__ = get_versions()['version']
del get_versions
__all__ = [
'DataType',
'SubI... | 17.454545 | 54 | 0.684896 | import logging
from ._version import get_versions # noqa
from .xml_obj import Symbol, DataType, SubItem # noqa
from .xml_collector import TmcFile # noqa
from . import epics # noqa
logger = logging.getLogger(__name__)
__version__ = get_versions()['version']
del get_versions
__all__ = [
'DataType',
'SubI... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c065834fb36e57bb45b56bc2d41ed8afa0ca7ba6 | 15,194 | py | Python | tests/test_plot.py | chrisburr/hist | d10132ab8d03f41152f0b934a18291ce699453b2 | [
"BSD-3-Clause"
] | null | null | null | tests/test_plot.py | chrisburr/hist | d10132ab8d03f41152f0b934a18291ce699453b2 | [
"BSD-3-Clause"
] | null | null | null | tests/test_plot.py | chrisburr/hist | d10132ab8d03f41152f0b934a18291ce699453b2 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from hist import Hist, NamedHist, axis
import pytest
import numpy as np
unp = pytest.importorskip("uncertainties.unumpy")
plt = pytest.importorskip("matplotlib.pyplot")
def test_general_plot1d():
"""
Test general plot1d -- whether 1d-Hist can be plotted properly.
"""
h = His... | 25.97265 | 87 | 0.561735 | # -*- coding: utf-8 -*-
from hist import Hist, NamedHist, axis
import pytest
import numpy as np
unp = pytest.importorskip("uncertainties.unumpy")
plt = pytest.importorskip("matplotlib.pyplot")
def test_general_plot1d():
"""
Test general plot1d -- whether 1d-Hist can be plotted properly.
"""
h = His... | 0 | 0 | 0 | 0 | 0 | 344 | 0 | 0 | 54 |
6a2d2f548e7bfb36954f0ec0ef6f275ccfc9aa16 | 1,966 | py | Python | resources/PTZgrid/calcInitialCond.py | sebalander/sebaPhD | 0260094bd5143843ef372ce52aceb568834f90f4 | [
"BSD-3-Clause"
] | 6 | 2017-10-03T15:10:14.000Z | 2020-08-06T06:39:14.000Z | resources/PTZgrid/calcInitialCond.py | sebalander/sebaPhD | 0260094bd5143843ef372ce52aceb568834f90f4 | [
"BSD-3-Clause"
] | 1 | 2017-02-09T21:13:13.000Z | 2017-02-09T21:13:13.000Z | resources/PTZgrid/calcInitialCond.py | sebalander/sebaPhD | 0260094bd5143843ef372ce52aceb568834f90f4 | [
"BSD-3-Clause"
] | 4 | 2017-02-09T19:46:00.000Z | 2019-11-21T12:47:55.000Z | # -*- coding: utf-8 -*-
"""
Created on Wed Jul 20 20:21:33 2016
generate the camera's pose conditions by hand
@author: sebalander
"""
# %%
import cv2
import numpy as np
import numpy.linalg as lin
from scipy.linalg import sqrtm, inv
import matplotlib.pyplot as plt
# %%
tVecFile = "PTZsheetTvecInitial.npy"
rVecFile ... | 21.844444 | 72 | 0.61648 | # -*- coding: utf-8 -*-
"""
Created on Wed Jul 20 20:21:33 2016
generate the camera's pose conditions by hand
@author: sebalander
"""
# %%
import cv2
import numpy as np
import numpy.linalg as lin
from scipy.linalg import sqrtm, inv
import matplotlib.pyplot as plt
# %%
tVecFile = "PTZsheetTvecInitial.npy"
rVecFile ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 22 |
b6dd96934dde46ba7c8e268255f6ccb3b47bf7e8 | 985 | py | Python | setup.py | MrIncredibuell/clerius | e3f482754892ae32b3862d2a283b54d4ed955b9a | [
"MIT"
] | null | null | null | setup.py | MrIncredibuell/clerius | e3f482754892ae32b3862d2a283b54d4ed955b9a | [
"MIT"
] | null | null | null | setup.py | MrIncredibuell/clerius | e3f482754892ae32b3862d2a283b54d4ed955b9a | [
"MIT"
] | null | null | null | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="clericus",
version="0.0.3a27",
author="Joseph L Buell V",
author_email="jlrbuellv@gmail.com",
description=
"An async webserver focused on being predictable and self documenting.",
... | 28.970588 | 76 | 0.59797 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="clericus",
version="0.0.3a27",
author="Joseph L Buell V",
author_email="jlrbuellv@gmail.com",
description=
"An async webserver focused on being predictable and self documenting.",
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b98e6632fd9bb96d3dde1a83e1c4c80e452a716a | 1,433 | py | Python | test/make_global_settings/env-wrapper/gyptest-wrapper.py | Herjar/gyp | 4d467626b0b9f59a85fb81ca4d7ea9eca99b9d8f | [
"BSD-3-Clause"
] | 75 | 2015-02-03T14:54:27.000Z | 2022-03-24T06:44:38.000Z | test/make_global_settings/env-wrapper/gyptest-wrapper.py | Herjar/gyp | 4d467626b0b9f59a85fb81ca4d7ea9eca99b9d8f | [
"BSD-3-Clause"
] | 3 | 2016-08-22T10:35:24.000Z | 2019-07-16T19:47:20.000Z | test/make_global_settings/env-wrapper/gyptest-wrapper.py | Herjar/gyp | 4d467626b0b9f59a85fb81ca4d7ea9eca99b9d8f | [
"BSD-3-Clause"
] | 43 | 2015-02-02T04:26:11.000Z | 2021-09-07T06:06:58.000Z | #!/usr/bin/env python
# Copyright (c) 2013 Google Inc. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""
Verifies *_wrapper in environment.
"""
import os
import sys
import TestGyp
print "This test is currently disabled: https://crbug.com/4... | 28.66 | 79 | 0.651779 | #!/usr/bin/env python
# Copyright (c) 2013 Google Inc. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""
Verifies *_wrapper in environment.
"""
import os
import sys
import TestGyp
print "This test is currently disabled: https://crbug.com/4... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9ba00e9b29b3ca03c6563bbca721e5ab24550cd4 | 469 | py | Python | mesonet/__init__.py | bf777/MesoNet | 87cd631e72fc2af596f97aa2b73f8e57b0cc27e6 | [
"CC-BY-4.0"
] | 2 | 2021-08-02T21:04:52.000Z | 2021-11-10T07:00:40.000Z | mesonet/__init__.py | bf777/MesoNet | 87cd631e72fc2af596f97aa2b73f8e57b0cc27e6 | [
"CC-BY-4.0"
] | 2 | 2021-12-02T10:47:00.000Z | 2022-03-07T20:28:11.000Z | mesonet/__init__.py | bf777/MesoNet | 87cd631e72fc2af596f97aa2b73f8e57b0cc27e6 | [
"CC-BY-4.0"
] | null | null | null | """
MesoNet
Authors: Brandon Forys and Dongsheng Xiao, Murphy Lab
https://github.com/bf777/MesoNet
Licensed under the Creative Commons Attribution 4.0 International License (see LICENSE for details)
"""
# __init__.py
| 33.5 | 99 | 0.835821 | """
MesoNet
Authors: Brandon Forys and Dongsheng Xiao, Murphy Lab
https://github.com/bf777/MesoNet
Licensed under the Creative Commons Attribution 4.0 International License (see LICENSE for details)
"""
# __init__.py
from mesonet.utils import *
from mesonet.dlc_predict import predict_dlc
from mesonet.predict_regions im... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 132 |
a54e4fcb9e12dd8b283e1118efefe5930ce03899 | 3,362 | py | Python | src/kayako/objects/custom_field.py | iXsystems/kayako-python-api-library | 5c43ae331904eac1a66301e2f40d29a4e52fd49d | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | src/kayako/objects/custom_field.py | iXsystems/kayako-python-api-library | 5c43ae331904eac1a66301e2f40d29a4e52fd49d | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | src/kayako/objects/custom_field.py | iXsystems/kayako-python-api-library | 5c43ae331904eac1a66301e2f40d29a4e52fd49d | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | # -*- coding: utf-8 -*-
#-----------------------------------------------------------------------------
# Copyright (c) 2014, Ravi Sharma
#
# Distributed under the terms of the Lesser GNU General Public License (LGPL)
#-----------------------------------------------------------------------------
'''
Created on Feb 26, 2... | 35.020833 | 126 | 0.680845 | # -*- coding: utf-8 -*-
#-----------------------------------------------------------------------------
# Copyright (c) 2014, Ravi Sharma
#
# Distributed under the terms of the Lesser GNU General Public License (LGPL)
#-----------------------------------------------------------------------------
'''
Created on Feb 26, 2... | 0 | 1,418 | 0 | 1,396 | 0 | 0 | 0 | 91 | 113 |
d6b30d1e7120d3e587e3c5909ed90c9d5af02c07 | 10,584 | py | Python | server/api/composer.py | notantony/Grid-Anchor-based-Image-Cropping-Pytorch | 32a2dea9151c123c8e589bd196450f56cf3ef7d1 | [
"MIT"
] | null | null | null | server/api/composer.py | notantony/Grid-Anchor-based-Image-Cropping-Pytorch | 32a2dea9151c123c8e589bd196450f56cf3ef7d1 | [
"MIT"
] | null | null | null | server/api/composer.py | notantony/Grid-Anchor-based-Image-Cropping-Pytorch | 32a2dea9151c123c8e589bd196450f56cf3ef7d1 | [
"MIT"
] | null | null | null | # # -*- coding: utf-8 -*-
from PIL import Image
from server.api.utils import read_image
cat_data = read_image('./input/obj/cat.png')
cat_obj = ObjImg(cat_data, "cat", "object;grounded", size_ratio=0.4, well_cropped=False)
dog_data = read_image('./input/obj/dog.png')
dog_obj = ObjImg(dog_data, "dog", "object;groun... | 39.492537 | 123 | 0.614512 | # # -*- coding: utf-8 -*-
import math
import random
import numpy as np
import heapq
from io import BytesIO
from PIL import Image, ImageOps
from server.api.crop_suggestor import CropSuggestorModel
from server.api.utils import compress_bg, read_image, nd_deserialize, np_isground, tiling_range, n_dim_iter, \
np_b... | 0 | 0 | 0 | 6,186 | 0 | 1,107 | 0 | 113 | 315 |
9e2027a2a9cfcdbe7245e5fcb4e81bbb8703a867 | 3,726 | py | Python | sims/s130/plot-double-shear-cmp.py | ammarhakim/ammar-simjournal | 85b64ddc9556f01a4fab37977864a7d878eac637 | [
"MIT",
"Unlicense"
] | 1 | 2019-12-19T16:21:13.000Z | 2019-12-19T16:21:13.000Z | sims/s130/plot-double-shear-cmp.py | ammarhakim/ammar-simjournal | 85b64ddc9556f01a4fab37977864a7d878eac637 | [
"MIT",
"Unlicense"
] | null | null | null | sims/s130/plot-double-shear-cmp.py | ammarhakim/ammar-simjournal | 85b64ddc9556f01a4fab37977864a7d878eac637 | [
"MIT",
"Unlicense"
] | 2 | 2020-01-08T06:23:33.000Z | 2020-01-08T07:06:50.000Z | import pylab
import tables
import math
import numpy
fig = pylab.figure(2)
tr_125 = pylab.loadtxt('../s125/s125-double-shear_totalEnergy')
tr_129 = pylab.loadtxt('../s129/s129-double-shear_totalEnergy')
tr_130 = pylab.loadtxt('../s130/s130-double-shear_totalEnergy')
refTe = tr_125[0,1]
pylab.plot(tr_125[:,0], tr_125[... | 26.055944 | 107 | 0.506978 | import pylab
import tables
import math
import numpy
def projectOnFinerGrid(Xc, Yc, q):
dx = Xc[1]-Xc[0]
dy = Yc[1]-Yc[0]
nx = Xc.shape[0]
ny = Yc.shape[0]
# mesh coordinates
Xn = pylab.zeros((2*Xc.shape[0],), float)
Xn[0:nx] = Xc-0.25*dx
Xn[nx:] = Xc+0.25*dx
Xn.sort()
Yn = pyl... | 0 | 0 | 0 | 0 | 0 | 2,878 | 0 | 0 | 69 |
bf053ecb91b45e0f5471a68564e3344dd8799600 | 414 | py | Python | Problem_04.py | Habbo3/Project-Euler | 1a01d67f72b9cfb606d13df91af89159b588216e | [
"MIT"
] | null | null | null | Problem_04.py | Habbo3/Project-Euler | 1a01d67f72b9cfb606d13df91af89159b588216e | [
"MIT"
] | null | null | null | Problem_04.py | Habbo3/Project-Euler | 1a01d67f72b9cfb606d13df91af89159b588216e | [
"MIT"
] | null | null | null | """
A palindromic number reads the same both ways. The largest palindrome made from the product of two 2-digit numbers is 9009 = 91 99.
Find the largest palindrome made from the product of two 3-digit numbers.
"""
biggest_number = 0
for i in range(999):
for n in range(999):
number = i*n
if str(number) == str(nu... | 29.571429 | 133 | 0.717391 | """
A palindromic number reads the same both ways. The largest palindrome made from the product of two 2-digit numbers is 9009 = 91 × 99.
Find the largest palindrome made from the product of two 3-digit numbers.
"""
biggest_number = 0
for i in range(999):
for n in range(999):
number = i*n
if str(number) == str(n... | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
26992116356270d5c84cb8edcdb4c4bedbb9668c | 3,065 | py | Python | loss/image.py | RobinSandkuehler/r2n2 | 54fdedd4129a0d2f5c257f727afef9e3f6ab565b | [
"Apache-2.0"
] | 13 | 2020-01-13T15:25:44.000Z | 2022-02-21T10:56:51.000Z | loss/image.py | RobinSandkuehler/r2n2 | 54fdedd4129a0d2f5c257f727afef9e3f6ab565b | [
"Apache-2.0"
] | 1 | 2021-12-15T17:40:44.000Z | 2021-12-15T17:40:44.000Z | loss/image.py | RobinSandkuehler/r2n2 | 54fdedd4129a0d2f5c257f727afef9e3f6ab565b | [
"Apache-2.0"
] | 2 | 2021-08-03T16:31:46.000Z | 2022-03-16T22:00:37.000Z | # Copyright 2019 University of Basel, Center for medical Image Analysis and Navigation
#
# 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
#
# U... | 37.378049 | 114 | 0.669821 | # Copyright 2019 University of Basel, Center for medical Image Analysis and Navigation
#
# 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
#
# U... | 0 | 0 | 0 | 2,153 | 0 | 0 | 0 | -3 | 68 |
c4d993b225afa6543ad3c035e2ea0487b8abb0d0 | 6,755 | py | Python | eva-usage-stats/ftp_usage.py | cyenyxe/eva-tools-standalone | 813b219befe19c2609acb6d8def80b6de8f759f3 | [
"Apache-2.0"
] | null | null | null | eva-usage-stats/ftp_usage.py | cyenyxe/eva-tools-standalone | 813b219befe19c2609acb6d8def80b6de8f759f3 | [
"Apache-2.0"
] | null | null | null | eva-usage-stats/ftp_usage.py | cyenyxe/eva-tools-standalone | 813b219befe19c2609acb6d8def80b6de8f759f3 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
from ebi_eva_common_pyutils.logger import logging_config
logger = logging_config.get_logger(__name__)
logging_config.add_stdout_handler()
if __name__ == '__main__':
main()
| 43.580645 | 120 | 0.682457 | #!/usr/bin/python
import os
from argparse import ArgumentParser
import psycopg2.extras
import requests
from requests.auth import HTTPBasicAuth
from ebi_eva_common_pyutils.logger import logging_config
from ebi_eva_common_pyutils.metadata_utils import get_metadata_connection_handle
from ebi_eva_common_pyutils.pg_utils ... | 0 | 1,302 | 0 | 0 | 0 | 4,795 | 0 | 139 | 315 |
7749d6332e7e48b335408d32acd46d623497b9b0 | 1,178 | py | Python | data/bin/cms-trace-merge.py | openalto/network-simulator-data | 09706e5ab6e266ee5ef5b71cd32f10eea5a1975e | [
"MIT"
] | null | null | null | data/bin/cms-trace-merge.py | openalto/network-simulator-data | 09706e5ab6e266ee5ef5b71cd32f10eea5a1975e | [
"MIT"
] | null | null | null | data/bin/cms-trace-merge.py | openalto/network-simulator-data | 09706e5ab6e266ee5ef5b71cd32f10eea5a1975e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import json
if __name__ == '__main__':
import sys
basedir = sys.argv[1]
files, replicas = load_files_replicas(basedir)
files_path = os.path.join(basedir, 'files.json')
with open(files_path, 'w') as ff:
ff.write(json.dumps(files, indent=4, sort_keys=True))
... | 31.837838 | 68 | 0.580645 | #!/usr/bin/env python
import os
import json
def load_files_replicas(basedir):
files = []
replicas = []
for d in os.listdir(basedir):
d = os.path.join(basedir, d)
if os.path.isdir(d):
files_path = os.path.join(d, 'files.json')
with open(files_path) as ff:
... | 0 | 0 | 0 | 0 | 0 | 670 | 0 | 0 | 23 |
0e3cbace0e9b47475844b5b00c2e3553be5c9459 | 829 | py | Python | app/user/views.py | ethan-leba/flask-twitter | 27785b88354679d853fe86e6e8629ee72b1d40a4 | [
"MIT"
] | null | null | null | app/user/views.py | ethan-leba/flask-twitter | 27785b88354679d853fe86e6e8629ee72b1d40a4 | [
"MIT"
] | null | null | null | app/user/views.py | ethan-leba/flask-twitter | 27785b88354679d853fe86e6e8629ee72b1d40a4 | [
"MIT"
] | null | null | null | from .. import db
| 37.681818 | 109 | 0.706876 | from flask import render_template, url_for, redirect, flash
from flask_login import current_user
from .. import db
from ..models import User, Tweet
from . import user
from .forms import TweetForm
from ..queries import get_all_tweets, send_tweet, get_user
@user.route('/<username>', methods=['GET', 'POST'])
def user(use... | 0 | 551 | 0 | 0 | 0 | 0 | 0 | 105 | 155 |
a3bc022859e29b21627241b8ca4418a6d0d25fde | 611 | py | Python | setup.py | asdf-format/asdf-chunked | 993c9e7203f9fd0125db79c43e41a3b16169a6c2 | [
"BSD-3-Clause"
] | null | null | null | setup.py | asdf-format/asdf-chunked | 993c9e7203f9fd0125db79c43e41a3b16169a6c2 | [
"BSD-3-Clause"
] | null | null | null | setup.py | asdf-format/asdf-chunked | 993c9e7203f9fd0125db79c43e41a3b16169a6c2 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
from setuptools import find_packages, setup
packages = find_packages(where="asdf_chunked")
packages.append("asdf_chunked.resources")
package_dir = {
"": "asdf_chunked",
"asdf_chunked.resources": "resources",
}
package_data = {"asdf_chunked.resources": package_yaml_files("resources")}... | 21.821429 | 74 | 0.736498 | #!/usr/bin/env python
from pathlib import Path
from setuptools import find_packages, setup
packages = find_packages(where="asdf_chunked")
packages.append("asdf_chunked.resources")
package_dir = {
"": "asdf_chunked",
"asdf_chunked.resources": "resources",
}
def package_yaml_files(directory):
paths = sor... | 0 | 0 | 0 | 0 | 0 | 123 | 0 | 3 | 45 |
ecfe7d6e82aad57a073e0bcca5d4e54e0ca8540e | 2,645 | py | Python | UI_dev/archive/app_dev_final/table.py | nimRobotics/BTP | 2387764fc0c513e37b72b97889b4a1ee09f9014c | [
"MIT"
] | null | null | null | UI_dev/archive/app_dev_final/table.py | nimRobotics/BTP | 2387764fc0c513e37b72b97889b4a1ee09f9014c | [
"MIT"
] | null | null | null | UI_dev/archive/app_dev_final/table.py | nimRobotics/BTP | 2387764fc0c513e37b72b97889b4a1ee09f9014c | [
"MIT"
] | null | null | null | import sys
from PyQt5.QtWidgets import QApplication
if __name__ == '__main__':
app = QApplication(sys.argv)
ex = App()
sys.exit(app.exec_())
| 34.802632 | 114 | 0.635161 | import sys
from PyQt5.QtWidgets import QMainWindow, QApplication, QWidget, QAction, QTableWidget,QTableWidgetItem,QVBoxLayout
from PyQt5.QtGui import QIcon
from PyQt5.QtCore import pyqtSlot
class App(QWidget):
def __init__(self):
super().__init__()
self.title = 'PyQt5 table - pythonspot.com'
... | 0 | 0 | 0 | 2,327 | 0 | 0 | 0 | 94 | 67 |
1d2cae0db33f52060f5c4d93831d43614df1c77a | 3,972 | py | Python | cellDataClass.py | okraus/DeepLoc | ced324ee7dfb7f3965a17cf2a78ccec671fa7991 | [
"BSD-3-Clause"
] | 49 | 2017-04-19T08:29:12.000Z | 2020-10-15T07:27:54.000Z | cellDataClass.py | okraus/DeepLoc | ced324ee7dfb7f3965a17cf2a78ccec671fa7991 | [
"BSD-3-Clause"
] | 6 | 2017-10-04T08:45:44.000Z | 2018-07-26T05:06:31.000Z | cellDataClass.py | okraus/DeepLoc | ced324ee7dfb7f3965a17cf2a78ccec671fa7991 | [
"BSD-3-Clause"
] | 28 | 2017-04-22T06:32:10.000Z | 2020-03-19T12:25:22.000Z | # Copyright (c) 2017, Oren Kraus All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification,
# are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this
# list of conditions and the follo... | 41.810526 | 130 | 0.656848 | # Copyright (c) 2017, Oren Kraus All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification,
# are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this
# list of conditions and the follo... | 0 | 0 | 0 | 2,386 | 0 | 0 | 0 | -13 | 68 |
22575a73bd860dd9485b3daa0bbc132d26217211 | 1,216 | py | Python | 0_Complete_Guide_To_Custom_Object_Detection_Model_With_Yolov5/WebScraping/src/util/image_downloader.py | CertifaiAI/classifai-blogs | 23a3e7f5241c27f74ffeb614cc730f21c35e9e2f | [
"Apache-2.0"
] | 3 | 2021-05-17T01:25:56.000Z | 2021-05-31T01:12:53.000Z | 0_Complete_Guide_To_Custom_Object_Detection_Model_With_Yolov5/WebScraping/src/util/image_downloader.py | CertifaiAI/classifai-blogs | 23a3e7f5241c27f74ffeb614cc730f21c35e9e2f | [
"Apache-2.0"
] | 1 | 2021-08-19T02:50:06.000Z | 2021-08-19T02:50:18.000Z | 0_Complete_Guide_To_Custom_Object_Detection_Model_With_Yolov5/WebScraping/src/util/image_downloader.py | CertifaiAI/classifai-blogs | 23a3e7f5241c27f74ffeb614cc730f21c35e9e2f | [
"Apache-2.0"
] | 2 | 2021-06-09T05:48:59.000Z | 2021-06-10T06:29:53.000Z | from PIL import Image
import requests
from io import BytesIO
import os
def save_image(src, counter, path):
"""Method for saving a single image"""
cur_dir = os.getcwd()
image_root_path = os.path.join(cur_dir, "images")
if not os.path.isdir(image_root_path):
os.mkdir(image_root_path)
i... | 24.816327 | 81 | 0.596217 | from PIL import Image
import requests
from io import BytesIO
import base64
import os
def save_image(src, counter, path):
"""Method for saving a single image"""
cur_dir = os.getcwd()
image_root_path = os.path.join(cur_dir, "images")
if not os.path.isdir(image_root_path):
os.mkdir(image_root_pa... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -8 | 22 |
4f1f7997e4d027884b195e0bb4bf1141ba0efaec | 4,788 | py | Python | sandbox/pyexprfield.py | turkeydonkey/nzmath3 | a48ae9efcf0d9ad1485c2e9863c948a7f1b20311 | [
"BSD-3-Clause"
] | 1 | 2021-05-26T19:22:17.000Z | 2021-05-26T19:22:17.000Z | sandbox/pyexprfield.py | turkeydonkey/nzmath3 | a48ae9efcf0d9ad1485c2e9863c948a7f1b20311 | [
"BSD-3-Clause"
] | null | null | null | sandbox/pyexprfield.py | turkeydonkey/nzmath3 | a48ae9efcf0d9ad1485c2e9863c948a7f1b20311 | [
"BSD-3-Clause"
] | null | null | null | """
Python Expression field, another finite prime field characteristic two definition.
field element is defined by bool(Python Expression).
This module is reference design for finite field characteristic two.
but I recommend that this field should be used only checking Python syntax.
"""
import logging
_log = loggi... | 28 | 93 | 0.6368 | """
Python Expression field, another finite prime field characteristic two definition.
field element is defined by bool(Python Expression).
This module is reference design for finite field characteristic two.
but I recommend that this field should be used only checking Python syntax.
"""
import logging
import operat... | 0 | 0 | 0 | 4,327 | 0 | 0 | 0 | -6 | 68 |
5cd80199edec3fb9faa21f7e2426eab3da37d240 | 73 | py | Python | code/MPGenPython/motion_profile/__init__.py | shuqinlee/PedestrianDetection | eb3353e8d22fb855f5a233dd4c468933ced91022 | [
"MIT"
] | 4 | 2018-03-17T13:44:33.000Z | 2018-12-28T02:59:28.000Z | code/MPGenPython/motion_profile/__init__.py | shuqinlee/PedestrianDetection | eb3353e8d22fb855f5a233dd4c468933ced91022 | [
"MIT"
] | null | null | null | code/MPGenPython/motion_profile/__init__.py | shuqinlee/PedestrianDetection | eb3353e8d22fb855f5a233dd4c468933ced91022 | [
"MIT"
] | null | null | null | # __init__: let python know this is a package
| 18.25 | 46 | 0.753425 | # __init__: let python know this is a package
from mpgen import mpgen
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 22 |
ec565786d077cf1223be311832047f6026c29ef5 | 9,833 | py | Python | GunsApp/app.py | rabest265/Guns2 | dce211b2494d5a130fd706ff76646365d9ef3e57 | [
"CNRI-Python",
"OML"
] | null | null | null | GunsApp/app.py | rabest265/Guns2 | dce211b2494d5a130fd706ff76646365d9ef3e57 | [
"CNRI-Python",
"OML"
] | null | null | null | GunsApp/app.py | rabest265/Guns2 | dce211b2494d5a130fd706ff76646365d9ef3e57 | [
"CNRI-Python",
"OML"
] | null | null | null | from flask import Flask
from flask_pymongo import PyMongo
from datetime import datetime
import pandas as pd
import os
import numpy as np
# function to save dataframe to collection_name in MongoDB 'wines'
# In[2]:
# Load CSV file
csv_path = os.path.join('..',"rawdata", "gun-violence-data_01-2013_12-2015.... | 35.243728 | 215 | 0.73711 | from flask import Flask, render_template, redirect, jsonify
from flask_pymongo import PyMongo
from datetime import datetime
import json
import pandas as pd
import os
import numpy as np
import datetime
import csv
import pymongo
import request
# function to save dataframe to collection_name in MongoDB 'wines'
d... | 0 | 1,810 | 0 | 0 | 0 | 358 | 0 | -5 | 365 |
1a21cf24460bf429e80572cc953d2defbc5d68f5 | 621 | py | Python | ftpserver.py | miebach/py-simple-ftpd | 8e02091a906fee342252a146054d5418db687303 | [
"MIT"
] | 5 | 2015-02-21T00:00:23.000Z | 2020-05-07T04:21:03.000Z | ftpserver.py | miebach/py-simple-ftpd | 8e02091a906fee342252a146054d5418db687303 | [
"MIT"
] | null | null | null | ftpserver.py | miebach/py-simple-ftpd | 8e02091a906fee342252a146054d5418db687303 | [
"MIT"
] | null | null | null | import time
import sha
from pyftpdlib import ftpserver
username="user"
authorizer = ftpserver.DummyAuthorizer()
password = mysha((str(time.time()) + "babble"))[:7]
print "user:",username
print "password:",password
authorizer.add_user(username, password, "./data", perm="elradfmw")
#authorizer.add_anonymous(".")
ft... | 23.884615 | 66 | 0.73752 | import time
import sha
from pyftpdlib import ftpserver
def mysha(x):
hash = sha.new(x)
return hash.hexdigest()
username="user"
authorizer = ftpserver.DummyAuthorizer()
password = mysha((str(time.time()) + "babble"))[:7]
print "user:",username
print "password:",password
authorizer.add_user(username, password,... | 0 | 0 | 0 | 0 | 0 | 38 | 0 | 0 | 23 |
0a54a78b31e4be5894fa62d3e6f6f46c9905bd24 | 4,037 | py | Python | Creator/macOS/marwale.py | rohitnishad613/Glitch | 4f896d85f3de3c98e5c91823ae3a87c4d8fdc97f | [
"MIT"
] | 5 | 2020-09-16T06:27:12.000Z | 2020-09-21T11:14:14.000Z | Creator/macOS/marwale.py | rohitnishad613/Glitch | 4f896d85f3de3c98e5c91823ae3a87c4d8fdc97f | [
"MIT"
] | null | null | null | Creator/macOS/marwale.py | rohitnishad613/Glitch | 4f896d85f3de3c98e5c91823ae3a87c4d8fdc97f | [
"MIT"
] | null | null | null | import time
while True:
time.sleep(0.1)
main()
| 29.903704 | 116 | 0.489225 | import os
import socket
import subprocess
import time
import signal
import sys
import struct
class Client(object):
def __init__(self):
HERE_IS_YOUR_HOST_AND_PORT
self.socket = None
def register_signal_handler(self):
signal.signal(signal.SIGINT, self.do_notting)
signal.signal(si... | 0 | 0 | 0 | 3,563 | 0 | 289 | 0 | -51 | 178 |
64343d013519933355c64587bf336eeec5a5ee82 | 1,884 | py | Python | Module1/Day07/module1_day07_ranges.py | mollysaweikis/100DaysPython | 464533eb52944fff8858c2e0e0f3b25f1bff7350 | [
"MIT"
] | 23 | 2019-05-31T18:00:26.000Z | 2021-11-21T19:08:19.000Z | Module1/Day07/module1_day07_ranges.py | btruck552/100DaysPython | 1e45a10387da6d4ebdf8aa5fe13843a4509c8b62 | [
"MIT"
] | null | null | null | Module1/Day07/module1_day07_ranges.py | btruck552/100DaysPython | 1e45a10387da6d4ebdf8aa5fe13843a4509c8b62 | [
"MIT"
] | 42 | 2019-05-31T17:54:28.000Z | 2022-02-12T22:09:51.000Z | """
Author: CaptCorpMURICA
Project: 100DaysPython
File: module1_day07_ranges.py
Creation Date: 6/2/2019, 8:55 AM
Description: Basic instruction of ranges in python.
"""
# A range starts with an index of 0 and ends with the declared value. The endpoint of a range in not ... | 50.918919 | 120 | 0.69586 | """
Author: CaptCorpMURICA
Project: 100DaysPython
File: module1_day07_ranges.py
Creation Date: 6/2/2019, 8:55 AM
Description: Basic instruction of ranges in python.
"""
# A range starts with an index of 0 and ends with the declared value. The endpoint of a range in not ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
603451b8330fc6c53dc0f78f6b33e3feeec049e4 | 2,242 | py | Python | env/lib/python3.7/site-packages/cleo/inputs/api.py | Kolawole39/masonite-guides-tutorial | 9a21cc635291a42f0722f69925be1809bb20e01c | [
"MIT"
] | null | null | null | env/lib/python3.7/site-packages/cleo/inputs/api.py | Kolawole39/masonite-guides-tutorial | 9a21cc635291a42f0722f69925be1809bb20e01c | [
"MIT"
] | null | null | null | env/lib/python3.7/site-packages/cleo/inputs/api.py | Kolawole39/masonite-guides-tutorial | 9a21cc635291a42f0722f69925be1809bb20e01c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from .input_argument import InputArgument
from .input_option import InputOption
def argument(name, description='',
required=False, default=None, is_list=False,
validator=None):
"""
Helper function to create a new argument.
:param name: The name of the ar... | 24.911111 | 69 | 0.67083 | # -*- coding: utf-8 -*-
from .input_argument import InputArgument
from .input_option import InputOption
def argument(name, description='',
required=False, default=None, is_list=False,
validator=None):
"""
Helper function to create a new argument.
:param name: The name of the ar... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
576fda55cc6908ed1c0d5f2b87e5c72699a1dbaa | 1,786 | py | Python | src/test.py | kumarnikhil936/MailClassification_NLTK_Sklearn_Flask_Docker | df919005e2ceafa1d90fb1ab0c302f2220e0906d | [
"MIT"
] | null | null | null | src/test.py | kumarnikhil936/MailClassification_NLTK_Sklearn_Flask_Docker | df919005e2ceafa1d90fb1ab0c302f2220e0906d | [
"MIT"
] | null | null | null | src/test.py | kumarnikhil936/MailClassification_NLTK_Sklearn_Flask_Docker | df919005e2ceafa1d90fb1ab0c302f2220e0906d | [
"MIT"
] | null | null | null | import yaml
from joblib import load
from nltk.corpus import stopwords
from nltk.stem.snowball import SnowballStemmer
from helpers import preprocess_single_text, load_mapping
text = "ki_erstattung_test_topf2.txt Details Activity ki_erstattung_test_topf2.txt Sharing Info. Who has access M General Info. System properties... | 57.612903 | 801 | 0.787794 | import yaml
from joblib import load
from nltk.corpus import stopwords
from nltk.stem.snowball import SnowballStemmer
from helpers import preprocess_single_text, load_mapping
text = "ki_erstattung_test_topf2.txt Details Activity ki_erstattung_test_topf2.txt Sharing Info. Who has access M General Info. System properties... | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4f8e5b718a64351286c098419e412067fd72661c | 290 | py | Python | Lista3_11.py | AlessandroGoncalve/Lista3_Python | 68f18d0d0243b19e596df1309c502ae72fbaca37 | [
"MIT"
] | 12 | 2019-09-13T22:01:05.000Z | 2020-09-20T23:18:41.000Z | Lista3_11.py | AlessandroGoncalve/Lista3_Python | 68f18d0d0243b19e596df1309c502ae72fbaca37 | [
"MIT"
] | 1 | 2020-04-04T03:36:44.000Z | 2020-10-21T20:57:38.000Z | Lista3_11.py | AlessandroGoncalve/Lista3_Python | 68f18d0d0243b19e596df1309c502ae72fbaca37 | [
"MIT"
] | 12 | 2019-09-10T18:48:25.000Z | 2020-10-24T18:35:13.000Z | #Altere o programa anterior para mostrar no final a soma dos nmeros.
n1 = int(input("Digite um nmero: "))
n2 = int(input("Digite outro nmero: "))
for i in range(n1 + 1, n2):
print(i)
for i in range(n2 + 1, n1):
print(i)
print("Soma dos nmeros: ", i + i)
| 22.307692 | 70 | 0.593103 | #Altere o programa anterior para mostrar no final a soma dos números.
n1 = int(input("Digite um número: "))
n2 = int(input("Digite outro número: "))
for i in range(n1 + 1, n2):
print(i)
for i in range(n2 + 1, n1):
print(i)
print("Soma dos números: ", i + i)
| 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bf752a0fbeb6d507311d56e1f4e724814a0350b1 | 1,538 | py | Python | packages/attitude.pkg/providers.py | GrahamCobb/maemo-mud-builder | 7bc03f5a1734a2b256e31808032d079c3e1e5720 | [
"ClArtistic"
] | null | null | null | packages/attitude.pkg/providers.py | GrahamCobb/maemo-mud-builder | 7bc03f5a1734a2b256e31808032d079c3e1e5720 | [
"ClArtistic"
] | null | null | null | packages/attitude.pkg/providers.py | GrahamCobb/maemo-mud-builder | 7bc03f5a1734a2b256e31808032d079c3e1e5720 | [
"ClArtistic"
] | null | null | null | #
# Provider information sources for `Attitude' - a false horizon display using
# accelerometer information. (c) Andrew Flegg 2009
# Released under the Artistic Licence
| 29.018868 | 79 | 0.574122 | #
# Provider information sources for `Attitude' - a false horizon display using
# accelerometer information. (c) Andrew Flegg 2009
# Released under the Artistic Licence
import os.path
from math import sin, cos, pi
class Dummy:
"""One of the simplest provide... | 0 | 65 | 0 | 1,129 | 0 | 0 | 0 | 1 | 114 |
9611e85309601b1043038f0147966d80aa76dc29 | 4,953 | py | Python | final_project.py | nikmoon/RecursiveStat | f1a31a70da3278ca4ada3dfa83875258170ce602 | [
"MIT"
] | null | null | null | final_project.py | nikmoon/RecursiveStat | f1a31a70da3278ca4ada3dfa83875258170ce602 | [
"MIT"
] | null | null | null | final_project.py | nikmoon/RecursiveStat | f1a31a70da3278ca4ada3dfa83875258170ce602 | [
"MIT"
] | null | null | null | # IDE,
"""
"""
metrics = {
'productType': {
'method': getProductType,
'name': 'productType', #
},
'productColor': {
'method': getProductColor,
'name': 'productColor',
},
'productCondition': {
'method': getProductCondition,
... | 35.633094 | 112 | 0.592166 | # эти строки введены для IDE, их нужно закомментировать или удалить
def getProductType(): pass
def getProductColor(): pass
def getProductCondition(): pass
def get_stat_api(list_of_queries): pass
"""
Список метрик и соответствующих им методов
"""
metrics = {
'productType': {
'method': getProductType,
... | 2,372 | 0 | 0 | 0 | 0 | 39 | 0 | 0 | 88 |
8a5dc9f0ee9a0de84f2ecc9552a6e60c7b9fee48 | 1,466 | py | Python | deploy2.py | JiajunZhou96/ML-for-LSD1 | 595630076928f0c0d0b78ce182478b7fb0d20ead | [
"MIT"
] | 1 | 2021-12-20T11:50:06.000Z | 2021-12-20T11:50:06.000Z | deploy2.py | JiajunZhou96/ML-for-LSD1 | 595630076928f0c0d0b78ce182478b7fb0d20ead | [
"MIT"
] | null | null | null | deploy2.py | JiajunZhou96/ML-for-LSD1 | 595630076928f0c0d0b78ce182478b7fb0d20ead | [
"MIT"
] | null | null | null | import pandas as pd
import joblib
from utils import save_dataset
model_load = joblib.load('./models/model.pkl')
database = pd.read_csv('./screening_base/in-vitro_zinc/in-vitro.csv')
screen_database = pd.read_csv('./datasets/screen_results/in-vitro_zinc/in-vitro_bits.csv')
screen_result = model_load.predict(screen_da... | 35.756098 | 122 | 0.749659 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import re
import time
import os
from sklearn.svm import SVR
import joblib
import rdkit
from rdkit import Chem
from rdkit.Chem import AllChem
from rdkit_utils import smiles_dataset
from utils import save_dataset
model_load = joblib.load('./models... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -3 | 222 |
6fd6c18fabfe36ee89c947678a6f06714899f0c2 | 798 | py | Python | core/migrations/0012_auto_20210813_0035.py | winny-/sillypaste | bf6125b35225046226328d1077d7bc7ea5e11c94 | [
"Unlicense"
] | 3 | 2021-05-21T03:45:59.000Z | 2022-01-23T18:26:45.000Z | core/migrations/0012_auto_20210813_0035.py | winny-/sillypaste | bf6125b35225046226328d1077d7bc7ea5e11c94 | [
"Unlicense"
] | 13 | 2021-04-03T19:56:35.000Z | 2022-01-23T18:39:47.000Z | core/migrations/0012_auto_20210813_0035.py | winny-/sillypaste | bf6125b35225046226328d1077d7bc7ea5e11c94 | [
"Unlicense"
] | 1 | 2021-10-03T18:22:55.000Z | 2021-10-03T18:22:55.000Z | # Generated by Django 3.1.12 on 2021-08-13 00:35
| 27.517241 | 76 | 0.601504 | # Generated by Django 3.1.12 on 2021-08-13 00:35
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [('core', '0011_auto_20201105_0203')]
operations = [
migrations.RenameField(
model_name='expirylog', old_name='cou... | 0 | 0 | 0 | 654 | 0 | 0 | 0 | 26 | 68 |
4d693c50b234f4d287b9940411df75b8d66801fe | 25,754 | py | Python | src/sage/combinat/six_vertex_model.py | fredstro/sage | c936d2cda81ec7ec3552a3bdb29c994b40d1bb24 | [
"BSL-1.0"
] | null | null | null | src/sage/combinat/six_vertex_model.py | fredstro/sage | c936d2cda81ec7ec3552a3bdb29c994b40d1bb24 | [
"BSL-1.0"
] | null | null | null | src/sage/combinat/six_vertex_model.py | fredstro/sage | c936d2cda81ec7ec3552a3bdb29c994b40d1bb24 | [
"BSL-1.0"
] | null | null | null | r"""
Six Vertex Model
"""
| 33.017949 | 108 | 0.435117 | r"""
Six Vertex Model
"""
from sage.structure.parent import Parent
from sage.structure.unique_representation import UniqueRepresentation
from sage.structure.list_clone import ClonableArray
from sage.categories.finite_enumerated_sets import FiniteEnumeratedSets
from sage.combinat.combinatorial_map import combinatorial_... | 0 | 2,487 | 0 | 22,873 | 0 | 0 | 0 | 187 | 180 |
eec8f79fbad64478516a5b0dade7f8244e1f9460 | 2,410 | py | Python | test/test_unit/test_ga4gh/test_refget/test_http/test_response.py | ga4gh/refget-cloud | c39a65acba9818414789f004cced487562012bf0 | [
"Apache-2.0"
] | null | null | null | test/test_unit/test_ga4gh/test_refget/test_http/test_response.py | ga4gh/refget-cloud | c39a65acba9818414789f004cced487562012bf0 | [
"Apache-2.0"
] | 3 | 2021-04-30T21:12:42.000Z | 2021-06-02T02:11:45.000Z | test/test_unit/test_ga4gh/test_refget/test_http/test_response.py | ga4gh/refget-cloud | c39a65acba9818414789f004cced487562012bf0 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""Unit tests for Response class"""
from ga4gh.refget.http.status_codes import StatusCodes as SC
from ga4gh.refget.config.constants import CONTENT_TYPE_JSON_REFGET_VND, CONTENT_TYPE_TEXT_REFGET_VND
testdata_body = [
("ACGT"),
('{"message": "NOTFOUND"}'),
('''{"service": {"circular_s... | 29.390244 | 73 | 0.69834 | # -*- coding: utf-8 -*-
"""Unit tests for Response class"""
import pytest
from ga4gh.refget.http.response import Response
from ga4gh.refget.http.status_codes import StatusCodes as SC
from ga4gh.refget.config.constants import CONTENT_TYPE_JSON_REFGET_VND, \
CONTENT_TYPE_TEXT_REFGET_VND
testdata_body = [
("ACGT... | 0 | 1,362 | 0 | 0 | 0 | 0 | 0 | 24 | 160 |
fba93487b51dcb4e56ba07626edfd9c3d910229c | 2,356 | py | Python | display.py | fginther/pi-experiments | bd9b18b9dad8ac48651a6a90fa234573b726e52d | [
"MIT"
] | null | null | null | display.py | fginther/pi-experiments | bd9b18b9dad8ac48651a6a90fa234573b726e52d | [
"MIT"
] | null | null | null | display.py | fginther/pi-experiments | bd9b18b9dad8ac48651a6a90fa234573b726e52d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import pygame
CHECK_LATCHES_INTERVAL = 100
CHECK_LATCHES = pygame.USEREVENT + 1
if __name__ == '__main__':
main()
| 25.89011 | 64 | 0.556027 | #!/usr/bin/env python
import time
import pygame
from pygame.locals import *
def get_current_time():
return int(round(time.time() * 1000))
class Target(object):
def __init__(self, value):
self.value = value
self.latched = False
self.latch_time = 0
def trigger(self):
if se... | 0 | 0 | 0 | 397 | 0 | 1,705 | 0 | -4 | 114 |
66302df5b876a90bd49810dc1235682c54d54b47 | 11,687 | py | Python | OptMiniModule/diffcp/cones.py | markcx/DER_ControlPrivateTimeSeries | 16f9ea14dc5146005c1c88e9b880c10c9b1a3361 | [
"MIT"
] | null | null | null | OptMiniModule/diffcp/cones.py | markcx/DER_ControlPrivateTimeSeries | 16f9ea14dc5146005c1c88e9b880c10c9b1a3361 | [
"MIT"
] | null | null | null | OptMiniModule/diffcp/cones.py | markcx/DER_ControlPrivateTimeSeries | 16f9ea14dc5146005c1c88e9b880c10c9b1a3361 | [
"MIT"
] | null | null | null | import numpy as np
# import _proj as proj_lib
import scipy.sparse as sparse
import scipy.sparse.linalg as splinalg
ZERO = "f"
POS = "l"
SOC = "q"
PSD = "s"
EXP = "ep"
EXP_DUAL = "ed"
POWER = "p"
# The ordering of CONES matches SCS.
CONES = [ZERO, POS, SOC, PSD, EXP, EXP_DUAL, POWER]
def parse_cone_dict(cone_dict):
... | 35.740061 | 100 | 0.520151 | import numpy as np
# import _proj as proj_lib
import scipy.sparse as sparse
import scipy.sparse.linalg as splinalg
ZERO = "f"
POS = "l"
SOC = "q"
PSD = "s"
EXP = "ep"
EXP_DUAL = "ed"
POWER = "p"
# The ordering of CONES matches SCS.
CONES = [ZERO, POS, SOC, PSD, EXP, EXP_DUAL, POWER]
def parse_cone_dict(cone_dict):
... | 0 | 0 | 0 | 0 | 0 | 1,314 | 0 | 0 | 204 |
df963607b23ba51f62d020e9b2d3d72b9c78d77a | 1,025 | py | Python | setup.py | simpleapples/flask-wtf-decorators | 7fa5a26946d2fdb5b00d07251c0ca7d0e358fc1d | [
"MIT"
] | 3 | 2018-07-02T14:39:44.000Z | 2020-12-14T12:58:43.000Z | setup.py | simpleapples/flask-wtf-decorators | 7fa5a26946d2fdb5b00d07251c0ca7d0e358fc1d | [
"MIT"
] | 2 | 2020-07-02T17:26:05.000Z | 2020-07-03T16:53:55.000Z | setup.py | simpleapples/flask-wtf-decorators | 7fa5a26946d2fdb5b00d07251c0ca7d0e358fc1d | [
"MIT"
] | null | null | null | from os import path
from setuptools import setup, find_packages
here = path.abspath(path.dirname(__file__))
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='Flask-WTF-Decorators',
version='0.1.2',
license='MIT',
url='https://github.com/simp... | 31.060606 | 64 | 0.653659 | from os import path
from setuptools import setup, find_packages
here = path.abspath(path.dirname(__file__))
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='Flask-WTF-Decorators',
version='0.1.2',
license='MIT',
url='https://github.com/simp... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ed24c7e0cb89b766670c2e6075918647dc12e22a | 1,070 | py | Python | src/astrolib/solar_system/__init__.py | space-geek/integrationutils | 384375702a6c053aa2e5aaca6b9d5c43d86a16ad | [
"MIT"
] | null | null | null | src/astrolib/solar_system/__init__.py | space-geek/integrationutils | 384375702a6c053aa2e5aaca6b9d5c43d86a16ad | [
"MIT"
] | null | null | null | src/astrolib/solar_system/__init__.py | space-geek/integrationutils | 384375702a6c053aa2e5aaca6b9d5c43d86a16ad | [
"MIT"
] | null | null | null | from astrolib.solar_system.celestial_objects import CelestialObject
from astrolib.solar_system.motion_models import OriginFixedMotionModel
from astrolib.solar_system.orientation_models import InertiallyFixedOrientationModel
Sun = CelestialObject(OriginFixedMotionModel(),InertiallyFixedOrientationModel())
Mercury = Cel... | 71.333333 | 85 | 0.879439 | from astrolib.solar_system.celestial_objects import CelestialObject
from astrolib.solar_system.motion_models import OriginFixedMotionModel
from astrolib.solar_system.orientation_models import InertiallyFixedOrientationModel
Sun = CelestialObject(OriginFixedMotionModel(),InertiallyFixedOrientationModel())
Mercury = Cel... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7c889c3645f09d24f1f01e75c97d332a09c86a9e | 715 | py | Python | Python/simple_calculator.py | snehnakrani14/HactoberFest21 | 1d387ff4efec1f17fe20d42f46490564c5a87b52 | [
"Unlicense"
] | 1 | 2021-10-04T14:39:02.000Z | 2021-10-04T14:39:02.000Z | Python/simple_calculator.py | snehnakrani14/HactoberFest21 | 1d387ff4efec1f17fe20d42f46490564c5a87b52 | [
"Unlicense"
] | 1 | 2021-10-06T04:41:55.000Z | 2021-10-06T04:41:55.000Z | Python/simple_calculator.py | snehnakrani14/HactoberFest21 | 1d387ff4efec1f17fe20d42f46490564c5a87b52 | [
"Unlicense"
] | 1 | 2021-10-08T12:31:04.000Z | 2021-10-08T12:31:04.000Z | #python program - make simple calculator
print("1. adiition")
print("2. subtraction")
print("3. multiplication")
print("4. division")
print("5. exit")
choice = int(input("enter your choice: "))
if (choice>=1 and choice<=4):
print("enter two numbers: ")
num1 = int(input())
num2 = int(input())
if choice ... | 21.666667 | 42 | 0.516084 | #python program - make simple calculator
print("1. adiition")
print("2. subtraction")
print("3. multiplication")
print("4. division")
print("5. exit")
choice = int(input("enter your choice: "))
if (choice>=1 and choice<=4):
print("enter two numbers: ")
num1 = int(input())
num2 = int(input())
if choice ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6a7cf670831b403d0054682d331d46306648544a | 3,688 | py | Python | ramjet/photometric_database/derived/moa_survey_none_single_and_binary_database.py | golmschenk/ramjet | 77fb4481a15088923308fda09804d80455d1a9cf | [
"Apache-2.0"
] | 3 | 2020-11-23T18:47:37.000Z | 2021-08-05T17:45:51.000Z | ramjet/photometric_database/derived/moa_survey_none_single_and_binary_database.py | golmschenk/ramjet | 77fb4481a15088923308fda09804d80455d1a9cf | [
"Apache-2.0"
] | 5 | 2021-08-19T00:54:57.000Z | 2022-02-10T00:15:40.000Z | ramjet/photometric_database/derived/moa_survey_none_single_and_binary_database.py | golmschenk/ramjet | 77fb4481a15088923308fda09804d80455d1a9cf | [
"Apache-2.0"
] | 3 | 2019-07-12T21:00:57.000Z | 2020-06-03T22:18:13.000Z | """
Code for a database of MOA light curves including non-microlensing, single lensing, and binary lensing collcetions.
"""
| 59.483871 | 120 | 0.638015 | """
Code for a database of MOA light curves including non-microlensing, single lensing, and binary lensing collcetions.
"""
from ramjet.data_interface.moa_data_interface import MoaDataInterface
from ramjet.photometric_database.derived.moa_survey_light_curve_collection import MoaSurveyLightCurveCollection
from ramjet.ph... | 0 | 0 | 0 | 3,165 | 0 | 0 | 0 | 309 | 89 |
f0162ff4ea770a97740eab3aed1b1f3a2c45254f | 1,576 | py | Python | exercicios curso em video/ex071.py | Nilton-Miguel/Prog_Python3 | 4cabcb1a30dde6ababce3cb8d1fbb7d417cb1d8b | [
"MIT"
] | null | null | null | exercicios curso em video/ex071.py | Nilton-Miguel/Prog_Python3 | 4cabcb1a30dde6ababce3cb8d1fbb7d417cb1d8b | [
"MIT"
] | null | null | null | exercicios curso em video/ex071.py | Nilton-Miguel/Prog_Python3 | 4cabcb1a30dde6ababce3cb8d1fbb7d417cb1d8b | [
"MIT"
] | null | null | null | valor = str(input('Valor para saque: ').strip())
last = valor[len(valor) - 1]
valor = int(valor)
if last == '1':
valor += 1
print(f'o valor precisou ser corrigido para R${valor},00 pois no h notas de R$ 1,00 disponveis')
print()
tot100 = tot50 = tot20 = tot10 = tot5 = tot2 = 0
while True:
... | 19.7 | 104 | 0.425127 | valor = str(input('Valor para saque: ').strip())
last = valor[len(valor) - 1]
valor = int(valor)
if last == '1':
valor += 1
print(f'o valor precisou ser corrigido para R${valor},00 pois não há notas de R$ 1,00 disponíveis')
print()
tot100 = tot50 = tot20 = tot10 = tot5 = tot2 = 0
while True:
... | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cfea1adda1cef4fa8dfdce519ed08e934086381e | 4,414 | py | Python | library/aos_cap_whitelist.py | jayp193/aos-wlan-ansible-role | 0e8ef5d3a890bed6b0e402f92d6aaedf5d8bf9fb | [
"Apache-2.0"
] | 2 | 2020-07-20T15:51:45.000Z | 2022-02-22T12:23:48.000Z | library/aos_cap_whitelist.py | jayp193/aos-wlan-ansible-role | 0e8ef5d3a890bed6b0e402f92d6aaedf5d8bf9fb | [
"Apache-2.0"
] | 2 | 2020-06-23T20:58:22.000Z | 2021-02-02T18:13:33.000Z | library/aos_cap_whitelist.py | jayp193/aos-wlan-ansible-role | 0e8ef5d3a890bed6b0e402f92d6aaedf5d8bf9fb | [
"Apache-2.0"
] | 2 | 2020-06-23T21:42:20.000Z | 2021-06-04T04:20:59.000Z |
#!/usr/bin/python3
'''
Module for Whitelisting Access Points
'''
# -*- coding: utf-8 -*-
# (C) Copyright 2020 Hewlett Packard Enterprise Development LP.
#
# 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 th... | 31.084507 | 86 | 0.647938 |
#!/usr/bin/python3
'''
Module for Whitelisting Access Points
'''
# -*- coding: utf-8 -*-
# (C) Copyright 2020 Hewlett Packard Enterprise Development LP.
#
# 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 th... | 0 | 0 | 0 | 0 | 0 | 1,395 | 0 | 58 | 68 |
9a22382029101b296f687c549cf395c5ad741718 | 497 | py | Python | core/forms.py | igr-santos/merit-market | a7bf8cc00071f63e8e98826c2c19d93120dbece9 | [
"MIT"
] | 1 | 2021-07-07T14:18:29.000Z | 2021-07-07T14:18:29.000Z | core/forms.py | igr-santos/merit-market | a7bf8cc00071f63e8e98826c2c19d93120dbece9 | [
"MIT"
] | null | null | null | core/forms.py | igr-santos/merit-market | a7bf8cc00071f63e8e98826c2c19d93120dbece9 | [
"MIT"
] | null | null | null | # coding: utf-8
| 27.611111 | 74 | 0.682093 | # coding: utf-8
from django import forms
from .models import Transaction
from .models import Customer
class TransactionForm(forms.ModelForm):
receiver = forms.ModelChoiceField(queryset=Transaction.objects.none())
def __init__(self, user, *args, **kwargs):
super(TransactionForm, self).__init__(*args, ... | 0 | 0 | 0 | 371 | 0 | 0 | 0 | 20 | 89 |
28738d283bf4868349454e25d748bec7dc9a9c6f | 33,650 | py | Python | sdk/python/pulumi_gcp/dataloss/prevention_deidentify_template.py | sisisin/pulumi-gcp | af6681d70ea457843409110c1324817fe55f68ad | [
"ECL-2.0",
"Apache-2.0"
] | 121 | 2018-06-18T19:16:42.000Z | 2022-03-31T06:06:48.000Z | sdk/python/pulumi_gcp/dataloss/prevention_deidentify_template.py | sisisin/pulumi-gcp | af6681d70ea457843409110c1324817fe55f68ad | [
"ECL-2.0",
"Apache-2.0"
] | 492 | 2018-06-22T19:41:03.000Z | 2022-03-31T15:33:53.000Z | sdk/python/pulumi_gcp/dataloss/prevention_deidentify_template.py | sisisin/pulumi-gcp | af6681d70ea457843409110c1324817fe55f68ad | [
"ECL-2.0",
"Apache-2.0"
] | 43 | 2018-06-19T01:43:13.000Z | 2022-03-23T22:43:37.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import pulumi
from .. import _utilities
__all__ = ['PreventionDeidentifyTemplateArgs', 'PreventionDeidentifyTemplate']
| 56.841216 | 422 | 0.624101 | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | 0 | 30,595 | 0 | 2,526 | 0 | 0 | 0 | 42 | 180 |
8507de2c30bd2745a0276ae3c30b8e452c32e14f | 486 | py | Python | processing/MinMaxScaler.py | lkhphuc/slack-visual-summary | 59c88580d95222718dd5c260eb1eacd01e3eeb35 | [
"MIT"
] | 2 | 2018-08-14T09:11:33.000Z | 2019-09-17T18:25:26.000Z | processing/MinMaxScaler.py | lkhphuc/slack-visual-summary | 59c88580d95222718dd5c260eb1eacd01e3eeb35 | [
"MIT"
] | null | null | null | processing/MinMaxScaler.py | lkhphuc/slack-visual-summary | 59c88580d95222718dd5c260eb1eacd01e3eeb35 | [
"MIT"
] | null | null | null | from sklearn.preprocessing import MinMaxScaler
from numpy import loadtxt
import numpy as np
data = loadtxt('data-time.txt')
print(data)
#redata = np.reshape(-1,1)
#print(redata)
scaler = MinMaxScaler()
print(scaler.fit(data))
MinMaxScaler(copy=True, feature_range=(0, 100))
print(scaler.data_max_)
a = scaler.transform(... | 23.142857 | 47 | 0.751029 | from sklearn.preprocessing import MinMaxScaler
from numpy import loadtxt
import numpy as np
import matplotlib as plt
import pandas as pd
from numpy import reshape
data = loadtxt('data-time.txt')
print(data)
#redata = np.reshape(-1,1)
#print(redata)
scaler = MinMaxScaler()
print(scaler.fit(data))
MinMaxScaler(copy=Tru... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 67 |
0fe5f55b94767e2765b101413f36d3b004c94b0e | 3,710 | py | Python | roomInformationExport.py | ruornil/revitDynamoScripts | dc01db653a721136da4e3f99469df4e06becb767 | [
"MIT"
] | null | null | null | roomInformationExport.py | ruornil/revitDynamoScripts | dc01db653a721136da4e3f99469df4e06becb767 | [
"MIT"
] | null | null | null | roomInformationExport.py | ruornil/revitDynamoScripts | dc01db653a721136da4e3f99469df4e06becb767 | [
"MIT"
] | null | null | null | #Copyright(c) 2015, Nathan Miller
# The Proving Ground, http://theprovingground.org
#Edited and modified by Mehmet Cenk Tunaboylu, to better suit his needs. Removed boundary curves extraction. Added department extraction.
import clr
# Import RevitAPI
clr.AddReference("RevitAPI")
# Import DocumentManager and... | 28.538462 | 138 | 0.695957 | #Copyright(c) 2015, Nathan Miller
# The Proving Ground, http://theprovingground.org
#Edited and modified by Mehmet Cenk Tunaboylu, to better suit his needs. Removed boundary curves extraction. Added department extraction.
import clr
# Import RevitAPI
clr.AddReference("RevitAPI")
import Autodesk
from Autodesk... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62 | 115 |
4da836cc685f5c603b5df612aa13b9c3f035b149 | 14,627 | py | Python | util.py | yinkaisheng/AgoraRteDemo | 512769e299ac19601589b0c4c154e012aea27ffb | [
"Apache-2.0"
] | 1 | 2022-03-03T14:40:53.000Z | 2022-03-03T14:40:53.000Z | util.py | yinkaisheng/AgoraRteDemo | 512769e299ac19601589b0c4c154e012aea27ffb | [
"Apache-2.0"
] | null | null | null | util.py | yinkaisheng/AgoraRteDemo | 512769e299ac19601589b0c4c154e012aea27ffb | [
"Apache-2.0"
] | null | null | null | #!python3
# -*- coding: utf-8 -*-
# author: yinkaisheng@foxmail.com
import os
import shutil
# import socket
from typing import Any, List, Tuple
_SelfFileName = os.path.split(__file__)[1]
def getStrBetween(src: str, left: str, right: str = None, start: int = 0, end: int = None) -> Tuple[str, int]:
'''return t... | 36.027094 | 162 | 0.569768 | #!python3
# -*- coding: utf-8 -*-
# author: yinkaisheng@foxmail.com
import os
import sys
import json
import ctypes
import pickle
import shutil
# import socket
import zipfile
import datetime
from typing import Any, Callable, Iterator, Dict, List, Tuple
_SelfFileName = os.path.split(__file__)[1]
def isPy38OrHigher():... | 0 | 0 | 0 | 0 | 4,411 | 3,488 | 0 | -24 | 550 |
bde34ca3526e7f51ff2fa0a0e40bdfa61e94305e | 1,097 | py | Python | src/psiz/utils/rotation_matrix.py | greenfieldvision/psiz | 37068530a78e08792e827ee55cf55e627add115e | [
"Apache-2.0"
] | 21 | 2020-04-03T21:10:05.000Z | 2021-12-02T01:31:11.000Z | src/psiz/utils/rotation_matrix.py | greenfieldvision/psiz | 37068530a78e08792e827ee55cf55e627add115e | [
"Apache-2.0"
] | 14 | 2020-04-10T00:48:02.000Z | 2021-05-25T18:06:55.000Z | psiz/utils/rotation_matrix.py | rgerkin/psiz | d540738462b6436a08a472d5e349ca2b813e6d47 | [
"Apache-2.0"
] | 4 | 2020-10-13T16:46:14.000Z | 2021-11-10T00:08:47.000Z | # -*- coding: utf-8 -*-
# Copyright 2020 The PsiZ 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 r... | 29.648649 | 78 | 0.655424 | # -*- coding: utf-8 -*-
# Copyright 2020 The PsiZ 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 r... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a3b12a22896d70cbbefc9e7e1dafb2be8fc7279c | 78 | py | Python | tests/roots/test-maxlistdepth/conf.py | samdoran/sphinx | 4c91c038b220d07bbdfe0c1680af42fe897f342c | [
"BSD-2-Clause"
] | 4,973 | 2015-01-03T15:44:00.000Z | 2022-03-31T03:11:51.000Z | tests/roots/test-maxlistdepth/conf.py | samdoran/sphinx | 4c91c038b220d07bbdfe0c1680af42fe897f342c | [
"BSD-2-Clause"
] | 7,850 | 2015-01-02T08:09:25.000Z | 2022-03-31T18:57:40.000Z | tests/roots/test-maxlistdepth/conf.py | samdoran/sphinx | 4c91c038b220d07bbdfe0c1680af42fe897f342c | [
"BSD-2-Clause"
] | 2,179 | 2015-01-03T15:26:53.000Z | 2022-03-31T12:22:44.000Z | exclude_patterns = ['_build']
latex_elements = {
'maxlistdepth': '10',
}
| 13 | 29 | 0.641026 | exclude_patterns = ['_build']
latex_elements = {
'maxlistdepth': '10',
}
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
acdf93786f95a7945c8913e5d9f8076e4683bcb1 | 2,174 | py | Python | disturbance/migrations/0267_auto_20210711_1208.py | jawaidm/disturbance | 4188e816239b9447a58a987d16dd0f05bc6aad53 | [
"Apache-2.0"
] | null | null | null | disturbance/migrations/0267_auto_20210711_1208.py | jawaidm/disturbance | 4188e816239b9447a58a987d16dd0f05bc6aad53 | [
"Apache-2.0"
] | 16 | 2020-03-11T08:25:46.000Z | 2022-03-02T08:14:40.000Z | disturbance/migrations/0267_auto_20210711_1208.py | jawaidm/disturbance | 4188e816239b9447a58a987d16dd0f05bc6aad53 | [
"Apache-2.0"
] | 9 | 2020-01-30T17:37:38.000Z | 2021-09-30T02:22:24.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.29 on 2021-07-11 04:08
from __future__ import unicode_literals
| 32.939394 | 73 | 0.587856 | # -*- coding: utf-8 -*-
# Generated by Django 1.11.29 on 2021-07-11 04:08
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('disturbance', '0266_auto_20210708_1640'),
]
operations = [
migrations.AddF... | 0 | 0 | 0 | 1,994 | 0 | 0 | 0 | 19 | 46 |
d4975d812aa56d965dedc021abeae297e292f266 | 1,650 | py | Python | build/android/adb_profile_xwalk.py | gaurangkumar/crosswalk | 1b9b80835e83e77390bd6cdbc03beb63f2a6f550 | [
"BSD-3-Clause"
] | 2,211 | 2015-01-01T08:50:09.000Z | 2022-03-30T02:48:16.000Z | build/android/adb_profile_xwalk.py | gaurangkumar/crosswalk | 1b9b80835e83e77390bd6cdbc03beb63f2a6f550 | [
"BSD-3-Clause"
] | 1,269 | 2015-01-02T10:43:16.000Z | 2020-01-17T00:58:09.000Z | build/android/adb_profile_xwalk.py | gaurangkumar/crosswalk | 1b9b80835e83e77390bd6cdbc03beb63f2a6f550 | [
"BSD-3-Clause"
] | 585 | 2015-01-02T01:12:15.000Z | 2022-03-09T07:07:18.000Z | #!/usr/bin/env python
#
# Copyright 2013 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.
#
# Copyright (c) 2014 Intel Corporation. All rights reserved.
# Use of this source code is governed by a BSD-style license that can b... | 29.464286 | 78 | 0.749697 | #!/usr/bin/env python
#
# Copyright 2013 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.
#
# Copyright (c) 2014 Intel Corporation. All rights reserved.
# Use of this source code is governed by a BSD-style license that can b... | 0 | 0 | 0 | 0 | 0 | 449 | 0 | 4 | 68 |
97eac6d4984d6c7cf82f679600d677aae6b3f6a2 | 814 | py | Python | setup.py | interactions-py/enhanced | d9799464bdab23c171fe790dd7a763ac9dd92eee | [
"MIT"
] | 4 | 2022-03-12T03:14:12.000Z | 2022-03-23T15:56:14.000Z | setup.py | interactions-py/enhanced | d9799464bdab23c171fe790dd7a763ac9dd92eee | [
"MIT"
] | 2 | 2022-03-16T02:21:08.000Z | 2022-03-29T03:18:59.000Z | setup.py | interactions-py/enhanced | d9799464bdab23c171fe790dd7a763ac9dd92eee | [
"MIT"
] | null | null | null | from setuptools import setup
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setup(
name="enhanced",
version="4.0.0",
description="Enhanced interactions for interactions.py",
long_description=long_description,
long_description_content_type="text/markdown",
... | 29.071429 | 60 | 0.644963 | from setuptools import setup
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setup(
name="enhanced",
version="4.0.0",
description="Enhanced interactions for interactions.py",
long_description=long_description,
long_description_content_type="text/markdown",
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
739a497ac7f435d24ff346cd7c79613e917bdbb4 | 5,308 | py | Python | src/python/pull_requests/menu.py | bvdeenen/bitbar | 4bd0876dacecc55f2cb60027510ba47ff7d84d12 | [
"MIT"
] | null | null | null | src/python/pull_requests/menu.py | bvdeenen/bitbar | 4bd0876dacecc55f2cb60027510ba47ff7d84d12 | [
"MIT"
] | null | null | null | src/python/pull_requests/menu.py | bvdeenen/bitbar | 4bd0876dacecc55f2cb60027510ba47ff7d84d12 | [
"MIT"
] | null | null | null | from ..common.config import get_logger
from ..common.util import get_absolute_path_to_repo_file
logger = get_logger(__name__)
open_multiple_urls = get_absolute_path_to_repo_file('src/open-multiple-urls.sh')
| 41.795276 | 118 | 0.683685 | import itertools
from typing import List, Dict
from .config import PullRequestsConstants
from .domain import PullRequest, PullRequestSort, PullRequestStatus, PullRequestsOverview, PullRequestException
from .notification import send_notification_pr
from ..common.config import get_logger
from ..common.icons import Icon,... | 4 | 0 | 0 | 0 | 0 | 4,691 | 0 | 155 | 248 |
fda7626c94b77811ec4a56e243a28182a9495ac4 | 4,598 | py | Python | tests/posts_templatetags/tests.py | samuelmaudo/marchena | e9a522a9be66f7043aa61e316f7e733e8ccf1e32 | [
"BSD-3-Clause"
] | null | null | null | tests/posts_templatetags/tests.py | samuelmaudo/marchena | e9a522a9be66f7043aa61e316f7e733e8ccf1e32 | [
"BSD-3-Clause"
] | null | null | null | tests/posts_templatetags/tests.py | samuelmaudo/marchena | e9a522a9be66f7043aa61e316f7e733e8ccf1e32 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding:utf-8 -*-
from __future__ import unicode_literals
| 28.036585 | 115 | 0.597434 | # -*- coding:utf-8 -*-
from __future__ import unicode_literals
from django.test import SimpleTestCase
from yepes.test_mixins import TemplateTagsMixin
from marchena.modules.posts.templatetags.posts import (
CalendarTag,
GetArchivesTag,
GetCategoryTag,
GetCategoriesTag,
GetNextPostTag,
GetPopu... | 0 | 0 | 0 | 3,931 | 0 | 0 | 0 | 509 | 92 |
a6745ce4b94e00cc9b78ece31861fa3b258dc893 | 1,740 | py | Python | setup.py | ysuter/DeepNeuro | f6a4a9d0960c696fb73dfcc1093bfd8496b0b6ed | [
"MIT"
] | 113 | 2017-10-15T23:22:02.000Z | 2022-01-22T19:33:39.000Z | setup.py | ysuter/DeepNeuro | f6a4a9d0960c696fb73dfcc1093bfd8496b0b6ed | [
"MIT"
] | 39 | 2017-10-02T18:23:33.000Z | 2021-01-10T03:02:43.000Z | setup.py | ysuter/DeepNeuro | f6a4a9d0960c696fb73dfcc1093bfd8496b0b6ed | [
"MIT"
] | 39 | 2017-10-15T23:22:05.000Z | 2021-08-31T14:02:56.000Z | """DeepNeuro: A deep learning python package for neuroimaging data.
Created by the Quantitative Tumor Imaging Lab at the Martinos Center
(Harvard-MIT Program in Health, Sciences, and Technology / Massachussets General Hospital).
"""
DOCLINES = __doc__.split("\n")
import sys
from setuptools import setup, find_pack... | 42.439024 | 262 | 0.659195 | """DeepNeuro: A deep learning python package for neuroimaging data.
Created by the Quantitative Tumor Imaging Lab at the Martinos Center
(Harvard-MIT Program in Health, Sciences, and Technology / Massachussets General Hospital).
"""
DOCLINES = __doc__.split("\n")
import sys
from setuptools import setup, find_pack... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44 |
fb1a8e971ff4bcd9956b2507666420e60420eb72 | 960 | py | Python | coralquant/spider/bs_sz50_stocks.py | dabuc/CoralQuant | 26ba2e0b39a897d8947166796c6a4e9f5ab202fa | [
"MIT"
] | null | null | null | coralquant/spider/bs_sz50_stocks.py | dabuc/CoralQuant | 26ba2e0b39a897d8947166796c6a4e9f5ab202fa | [
"MIT"
] | null | null | null | coralquant/spider/bs_sz50_stocks.py | dabuc/CoralQuant | 26ba2e0b39a897d8947166796c6a4e9f5ab202fa | [
"MIT"
] | null | null | null | from coralquant.models.odl_model import BS_SZ50_Stocks
import baostock as bs
import pandas as pd
from coralquant.database import engine
from coralquant.settings import CQ_Config
def get_sz50_stocks():
"""
50
"""
#
BS_SZ50_Stocks.del_all_data()
#
lg = bs.login()
#
print('login res... | 25.945946 | 108 | 0.690625 | from coralquant.models.odl_model import BS_SZ50_Stocks
import baostock as bs
import pandas as pd
from sqlalchemy import String
from coralquant.database import engine
from coralquant.settings import CQ_Config
def get_sz50_stocks():
"""
获取上证50成分股数据
"""
#删除数据
BS_SZ50_Stocks.del_all_data()
# 登陆系统
... | 168 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 22 |
7eee30bb582ba5ab6b61fd5ba6e6d77feca738b4 | 235 | py | Python | pyswarms/utils/search/__init__.py | goncalogteixeira/pyswarns | c18d61e40f582e54a3a23f0b55c1fff43ec6a5bd | [
"MIT"
] | 959 | 2017-07-23T11:30:24.000Z | 2022-03-30T14:10:55.000Z | pyswarms/utils/search/__init__.py | goncalogteixeira/pyswarns | c18d61e40f582e54a3a23f0b55c1fff43ec6a5bd | [
"MIT"
] | 335 | 2017-07-22T07:22:46.000Z | 2022-03-24T13:09:15.000Z | pyswarms/utils/search/__init__.py | goncalogteixeira/pyswarns | c18d61e40f582e54a3a23f0b55c1fff43ec6a5bd | [
"MIT"
] | 363 | 2017-07-25T01:58:23.000Z | 2022-03-28T17:19:11.000Z | """
The :mod:`pyswarms.utils.search` module implements various techniques in
hyperparameter value optimization.
"""
from .grid_search import GridSearch
from .random_search import RandomSearch
__all__ = ["GridSearch", "RandomSearch"]
| 23.5 | 72 | 0.791489 | """
The :mod:`pyswarms.utils.search` module implements various techniques in
hyperparameter value optimization.
"""
from .grid_search import GridSearch
from .random_search import RandomSearch
__all__ = ["GridSearch", "RandomSearch"]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d2739cc17fbb8439caf847f29094b14cd0a43ae8 | 3,203 | py | Python | analysis_data/AnalysisResult.py | solmannn/alu | 1e31b8a39a4718f32b4a8d3f5614553744fd2aad | [
"MIT"
] | null | null | null | analysis_data/AnalysisResult.py | solmannn/alu | 1e31b8a39a4718f32b4a8d3f5614553744fd2aad | [
"MIT"
] | null | null | null | analysis_data/AnalysisResult.py | solmannn/alu | 1e31b8a39a4718f32b4a8d3f5614553744fd2aad | [
"MIT"
] | null | null | null | # -------------------------------------------------------------------------------
# Copyright 2018-2020, Christian Pilato <christian.pilato@polimi.it>
#
# 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 Lic... | 61.596154 | 291 | 0.55167 | # -------------------------------------------------------------------------------
# Copyright 2018-2020, Christian Pilato <christian.pilato@polimi.it>
#
# 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 Lic... | 0 | 0 | 0 | 2,379 | 0 | 0 | 0 | 0 | 46 |
0f1c48a7f94fc42da2ea79d6bd12b1264ea44199 | 313 | py | Python | labs/04_conv_nets_2/solutions/geom_avg.py | souillade/Deep | 3d79384638220376deb7c4c656cfb9cc497998ad | [
"MIT"
] | 1 | 2017-11-30T17:25:08.000Z | 2017-11-30T17:25:08.000Z | labs/04_conv_nets_2/solutions/geom_avg.py | souillade/Deep | 3d79384638220376deb7c4c656cfb9cc497998ad | [
"MIT"
] | null | null | null | labs/04_conv_nets_2/solutions/geom_avg.py | souillade/Deep | 3d79384638220376deb7c4c656cfb9cc497998ad | [
"MIT"
] | null | null | null | heatmap_1_r = imresize(heatmap_1, (50,80)).astype("float32")
heatmap_2_r = imresize(heatmap_2, (50,80)).astype("float32")
heatmap_3_r = imresize(heatmap_3, (50,80)).astype("float32")
heatmap_geom_avg = np.power(heatmap_1_r * heatmap_2_r * heatmap_3_r, 0.333)
display_img_and_heatmap("dog.jpg", heatmap_geom_avg)
| 44.714286 | 75 | 0.766773 | heatmap_1_r = imresize(heatmap_1, (50,80)).astype("float32")
heatmap_2_r = imresize(heatmap_2, (50,80)).astype("float32")
heatmap_3_r = imresize(heatmap_3, (50,80)).astype("float32")
heatmap_geom_avg = np.power(heatmap_1_r * heatmap_2_r * heatmap_3_r, 0.333)
display_img_and_heatmap("dog.jpg", heatmap_geom_avg)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fd81f46f8c005602f66b88f3c0b86953d5e2ec77 | 33,356 | py | Python | named-entity-recognizer.py | YNedderhoff/sentiment-classifier | 13d28217f81c21562e5b79f0f85309a968ee534a | [
"MIT"
] | 1 | 2017-06-26T15:43:23.000Z | 2017-06-26T15:43:23.000Z | named-entity-recognizer.py | YNedderhoff/sentiment-classifier | 13d28217f81c21562e5b79f0f85309a968ee534a | [
"MIT"
] | null | null | null | named-entity-recognizer.py | YNedderhoff/sentiment-classifier | 13d28217f81c21562e5b79f0f85309a968ee534a | [
"MIT"
] | null | null | null | import codecs
import time
import cPickle
import gzip
import random
import os
import math
import modules.token as tk
import modules.perceptron as perceptron
import modules.lmi as lmi
from modules.evaluation import evaluate
from modules.affixes import find_affixes
if __name__ == '__main__':
t0 = time.time()
... | 50.770167 | 130 | 0.505067 | import codecs
import time
import cPickle
import gzip
import random
import os
import math
import modules.token as tk
import modules.perceptron as perceptron
import modules.lmi as lmi
from modules.evaluation import evaluate
from modules.affixes import find_affixes
class posTagger:
def __init__(self):
p... | 0 | 0 | 0 | 29,887 | 0 | 0 | 0 | 0 | 23 |
5f31560a74d5dfb63e7c3127102442b9295b9807 | 386 | py | Python | src/python/pants/init/bootstrap_scheduler.py | rcuza/pants | 0429258b181986eed856ae45af93b776727774a0 | [
"Apache-2.0"
] | 1,806 | 2015-01-05T07:31:00.000Z | 2022-03-31T11:35:41.000Z | src/python/pants/init/bootstrap_scheduler.py | rcuza/pants | 0429258b181986eed856ae45af93b776727774a0 | [
"Apache-2.0"
] | 9,565 | 2015-01-02T19:01:59.000Z | 2022-03-31T23:25:16.000Z | src/python/pants/init/bootstrap_scheduler.py | rcuza/pants | 0429258b181986eed856ae45af93b776727774a0 | [
"Apache-2.0"
] | 443 | 2015-01-06T20:17:57.000Z | 2022-03-31T05:28:17.000Z | # Copyright 2021 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
| 27.571429 | 85 | 0.784974 | # Copyright 2021 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from dataclasses import dataclass
from pants.engine.internals.scheduler import Scheduler
@dataclass(frozen=True)
class BootstrapScheduler:
"""A Scheduler that has been configured wi... | 0 | 140 | 0 | 0 | 0 | 0 | 0 | 45 | 69 |
20f7b957862e865fca511976b35c043c5e91e60d | 756 | py | Python | django_bootstrap_dynamic_formsets/templatetags/bootstrap_dynamic_formsets.py | AHouy/django-bootstrap-dynamic-formsets | d8b99a43b185c0cdf3137ebc25d6ba13d5032644 | [
"MIT"
] | 23 | 2015-06-15T20:24:33.000Z | 2021-12-22T07:18:45.000Z | django_bootstrap_dynamic_formsets/templatetags/bootstrap_dynamic_formsets.py | AHouy/django-bootstrap-dynamic-formsets | d8b99a43b185c0cdf3137ebc25d6ba13d5032644 | [
"MIT"
] | 9 | 2015-06-16T18:11:16.000Z | 2018-04-04T15:45:08.000Z | django_bootstrap_dynamic_formsets/templatetags/bootstrap_dynamic_formsets.py | AHouy/django-bootstrap-dynamic-formsets | d8b99a43b185c0cdf3137ebc25d6ba13d5032644 | [
"MIT"
] | 19 | 2015-06-16T08:04:29.000Z | 2021-03-12T23:51:17.000Z | from django import template
register = template.Library()
| 47.25 | 104 | 0.747354 | from django import template
from django.utils.html import format_html
register = template.Library()
@register.inclusion_tag('django_bootstrap_dynamic_formsets/dynamic_formsets.html')
def bootstrap_dynamic_formset(formset, can_order=False, can_delete=False,
form_wrapper="well", layout=""... | 0 | 609 | 0 | 0 | 0 | 0 | 0 | 20 | 68 |
29b5f73253e00d865823d44734062de6df02df9d | 22,805 | py | Python | gen/acl_pb2.py | zizon/prpc | a075256eb55a31a535aa5e7fd0d00a78b3b44966 | [
"MIT"
] | null | null | null | gen/acl_pb2.py | zizon/prpc | a075256eb55a31a535aa5e7fd0d00a78b3b44966 | [
"MIT"
] | null | null | null | gen/acl_pb2.py | zizon/prpc | a075256eb55a31a535aa5e7fd0d00a78b3b44966 | [
"MIT"
] | null | null | null | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: acl.proto
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
import hdfs_pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='acl.proto',
package='hadoop.hdfs',
... | 34.500756 | 2,158 | 0.75979 | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: acl.proto
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
imp... | 0 | 0 | 0 | 2,885 | 0 | 0 | 0 | 58 | 366 |
af81ed36e1f1184d64fb2de2e30627cacf0e71cb | 8,288 | py | Python | docs/generate_class1_pan.py | eyeshoe/mhcflurry | b87aac3cf1a782cb1235f9b724388bbdd933d9fb | [
"Apache-2.0"
] | 1 | 2020-01-01T23:06:01.000Z | 2020-01-01T23:06:01.000Z | docs/generate_class1_pan.py | eyeshoe/mhcflurry | b87aac3cf1a782cb1235f9b724388bbdd933d9fb | [
"Apache-2.0"
] | null | null | null | docs/generate_class1_pan.py | eyeshoe/mhcflurry | b87aac3cf1a782cb1235f9b724388bbdd933d9fb | [
"Apache-2.0"
] | null | null | null | """
Generate certain RST files used in documentation.
"""
from __future__ import print_function
import sys
import argparse
from mhcflurry.downloads import get_path
from mhcflurry.amino_acid import COMMON_AMINO_ACIDS
AMINO_ACIDS = sorted(COMMON_AMINO_ACIDS)
parser = argparse.ArgumentParser(usage=__doc__)
parser.add_a... | 30.470588 | 89 | 0.628016 | """
Generate certain RST files used in documentation.
"""
from __future__ import print_function
import sys
import argparse
from collections import OrderedDict, defaultdict
import os
from os.path import join, exists
from os import mkdir
import pandas
import logomaker
from matplotlib import pyplot
from mhcflurry.downl... | 0 | 0 | 0 | 0 | 0 | 6,353 | 0 | 20 | 248 |
8052c6f74b616a1d0ff9897edcd89cb694062362 | 25,872 | py | Python | face_detector/face_detector_google3.py | michaelmurdock/py_ml_projects | fbfaa6e6b10f413f8810b642d2e6144f18e163a0 | [
"BSD-2-Clause"
] | null | null | null | face_detector/face_detector_google3.py | michaelmurdock/py_ml_projects | fbfaa6e6b10f413f8810b642d2e6144f18e163a0 | [
"BSD-2-Clause"
] | null | null | null | face_detector/face_detector_google3.py | michaelmurdock/py_ml_projects | fbfaa6e6b10f413f8810b642d2e6144f18e163a0 | [
"BSD-2-Clause"
] | null | null | null | # face_detector_google3.py
#
# This version expects a source folder containing folders of images,
# as you get with the LFW distribution.
# Each folder is named for one person and that folder should contain
# only photos of that person.
#
# Environment Variable: GOOGLE_APPLICATION_CREDENTIALS
# C:\pyDev\__My Scripts\f... | 35.933333 | 219 | 0.681548 | # face_detector_google3.py
#
# This version expects a source folder containing folders of images,
# as you get with the LFW distribution.
# Each folder is named for one person and that folder should contain
# only photos of that person.
#
# Environment Variable: GOOGLE_APPLICATION_CREDENTIALS
# C:\pyDev\__My Scripts\f... | 0 | 71 | 0 | 908 | 0 | 130 | 0 | 88 | 201 |
a4bc2186bb3e8677879261e010f1cfbd360c8359 | 1,502 | py | Python | msoft-format.py | wallscope-research/incremental-asr-evaluation | d4e79b49b8b309888992ed96bd69d3d624098abf | [
"Apache-2.0"
] | null | null | null | msoft-format.py | wallscope-research/incremental-asr-evaluation | d4e79b49b8b309888992ed96bd69d3d624098abf | [
"Apache-2.0"
] | null | null | null | msoft-format.py | wallscope-research/incremental-asr-evaluation | d4e79b49b8b309888992ed96bd69d3d624098abf | [
"Apache-2.0"
] | null | null | null | from universal import process, clean_csv, add_trans_chunk
import sys
import re
# The infile is the system trancript.
infile = sys.argv[1]
# Using the system output name, the relevant universal format and full transcripts are gathered.
filename_prep = re.search(r"(?<=system-output\/)(.*?)(?=\.txt)", infile).group(0)
o... | 39.526316 | 96 | 0.654461 | from universal import process, clean_csv, add_trans_chunk
import sys
import re
# The infile is the system trancript.
infile = sys.argv[1]
# Using the system output name, the relevant universal format and full transcripts are gathered.
filename_prep = re.search(r"(?<=system-output\/)(.*?)(?=\.txt)", infile).group(0)
o... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8ab199c3c2b997aeba40c8874ef806a8674f8b19 | 49 | py | Python | Flask-todolist-Sqlite3-master/venv/lib/python3.6/tokenize.py | IncredibleDraco/MyScholar | 272aafa33f7227d1bc0d937d046788cbabede453 | [
"Apache-2.0"
] | null | null | null | Flask-todolist-Sqlite3-master/venv/lib/python3.6/tokenize.py | IncredibleDraco/MyScholar | 272aafa33f7227d1bc0d937d046788cbabede453 | [
"Apache-2.0"
] | null | null | null | Flask-todolist-Sqlite3-master/venv/lib/python3.6/tokenize.py | IncredibleDraco/MyScholar | 272aafa33f7227d1bc0d937d046788cbabede453 | [
"Apache-2.0"
] | 1 | 2019-11-25T10:25:21.000Z | 2019-11-25T10:25:21.000Z | /home/sheldon/anaconda3/lib/python3.6/tokenize.py | 49 | 49 | 0.836735 | /home/sheldon/anaconda3/lib/python3.6/tokenize.py | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6e510c7e69d1c10e4a1f13a06328e422101135ca | 2,202 | py | Python | tests/test_rebar.py | SurajDadral/pyconcrete | 479cce3fbe6754243b1df7c555ed1ac66ab6b23e | [
"MIT"
] | 19 | 2019-03-27T18:34:38.000Z | 2021-10-29T23:44:04.000Z | tests/test_rebar.py | SurajDadral/pyconcrete | 479cce3fbe6754243b1df7c555ed1ac66ab6b23e | [
"MIT"
] | 1 | 2019-07-19T02:48:47.000Z | 2019-07-23T04:40:54.000Z | tests/test_rebar.py | SurajDadral/pyconcrete | 479cce3fbe6754243b1df7c555ed1ac66ab6b23e | [
"MIT"
] | 7 | 2019-05-20T05:49:37.000Z | 2021-12-27T23:41:23.000Z |
# def test_real_length(r1, lr1, ur1):
# assert r1.real_length == 5
# assert lr1.real_length == 200
# assert ur1.real_length == 250
| 17.902439 | 71 | 0.565395 | import pytest
import copy
from pyconcrete import rebar
@pytest.fixture
def r1():
r = rebar.Rebar(
length=5,
diameter=20,
count=1,
insert=(0, 0))
return r
@pytest.fixture
def lr1():
r = rebar.LRebar(
length=5,
diameter=20,
count=2,
insert=(... | 0 | 429 | 0 | 0 | 0 | 1,140 | 0 | -11 | 481 |
e3d7dce2a490922ec373ed82c8d9594a8acddd24 | 3,212 | py | Python | gui/qt_ui/EditGridQT.py | victorgabr/pps | dfe3fae64fd4dedde85204643f9c797c0373f96c | [
"BSD-3-Clause"
] | 7 | 2018-11-18T07:11:05.000Z | 2021-05-06T21:53:40.000Z | gui/qt_ui/EditGridQT.py | victorgabr/pps | dfe3fae64fd4dedde85204643f9c797c0373f96c | [
"BSD-3-Clause"
] | 9 | 2019-09-23T16:34:09.000Z | 2020-05-26T18:49:43.000Z | gui/qt_ui/EditGridQT.py | victorgabr/pps | dfe3fae64fd4dedde85204643f9c797c0373f96c | [
"BSD-3-Clause"
] | 2 | 2019-04-18T14:34:31.000Z | 2019-06-19T19:34:33.000Z | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'C:\Users\Victor\Dropbox\DFR\film2dose\qt_ui\edit_grid.ui'
#
# Created: Tue Sep 29 14:53:43 2015
# by: pyside-uic 0.2.15 running on PySide 1.2.2
#
# WARNING! All changes made in this file will be lost!
| 48.666667 | 118 | 0.683064 | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'C:\Users\Victor\Dropbox\DFR\film2dose\qt_ui\edit_grid.ui'
#
# Created: Tue Sep 29 14:53:43 2015
# by: pyside-uic 0.2.15 running on PySide 1.2.2
#
# WARNING! All changes made in this file will be lost!
from PySide import QtCore, QtGui
... | 0 | 0 | 0 | 2,869 | 0 | 0 | 0 | 11 | 46 |
8971cf7bdc03885b5b25374ac539e3a70ab2dcbe | 32,516 | py | Python | pymwts/pymwtsio/tests/infiles/mwts_inputs_example/mwts_makedat.py | misken/pymwts | 8e301b5badbd65f5dec8894ccbe0f0859785d20c | [
"MIT"
] | null | null | null | pymwts/pymwtsio/tests/infiles/mwts_inputs_example/mwts_makedat.py | misken/pymwts | 8e301b5badbd65f5dec8894ccbe0f0859785d20c | [
"MIT"
] | null | null | null | pymwts/pymwtsio/tests/infiles/mwts_inputs_example/mwts_makedat.py | misken/pymwts | 8e301b5badbd65f5dec8894ccbe0f0859785d20c | [
"MIT"
] | null | null | null | #-------------------------------------------------------------------------------
# Name: mwts_makedat
# Purpose: mwts dat file creation
#
# Author: isken
#
# Created: 28/09/2011
# Copyright: (c) isken 2011
# Licence: <your licence>
#-------------------------------------------------------------... | 32.451098 | 164 | 0.605548 | #-------------------------------------------------------------------------------
# Name: mwts_makedat
# Purpose: mwts dat file creation
#
# Author: isken
#
# Created: 28/09/2011
# Copyright: (c) isken 2011
# Licence: <your licence>
#-------------------------------------------------------------... | 0 | 0 | 0 | 0 | 0 | 5,173 | 0 | -23 | 182 |
449d1fc3442d6fde6ba47c80a9453ec71f482f75 | 914 | py | Python | 11_gsflow/Check sagehen control file.py | pnorton-usgs/notebooks | 17a38ecd3f3c052b9bd785c2e53e16a9082d1e71 | [
"MIT"
] | null | null | null | 11_gsflow/Check sagehen control file.py | pnorton-usgs/notebooks | 17a38ecd3f3c052b9bd785c2e53e16a9082d1e71 | [
"MIT"
] | null | null | null | 11_gsflow/Check sagehen control file.py | pnorton-usgs/notebooks | 17a38ecd3f3c052b9bd785c2e53e16a9082d1e71 | [
"MIT"
] | null | null | null | # ---
# jupyter:
# jupytext:
# formats: ipynb,py:percent
# text_representation:
# extension: .py
# format_name: percent
# format_version: '1.3'
# jupytext_version: 1.13.7
# kernelspec:
# display_name: Python [conda env:bandit_38]
# language: python
# name: conda-env-bandi... | 17.576923 | 91 | 0.666302 | # ---
# jupyter:
# jupytext:
# formats: ipynb,py:percent
# text_representation:
# extension: .py
# format_name: percent
# format_version: '1.3'
# jupytext_version: 1.13.7
# kernelspec:
# display_name: Python [conda env:bandit_38]
# language: python
# name: conda-env-bandi... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
909094cdb2b9de5d6070c452b32d0ee249e210c5 | 1,999 | py | Python | Arithmetic Exam Application/arithmetic.py | andreimaftei28/projects-on-JetBrainAcademy | 8c2b8ab7bab5757db94e9f0b6d55c33852f64ee1 | [
"MIT"
] | null | null | null | Arithmetic Exam Application/arithmetic.py | andreimaftei28/projects-on-JetBrainAcademy | 8c2b8ab7bab5757db94e9f0b6d55c33852f64ee1 | [
"MIT"
] | null | null | null | Arithmetic Exam Application/arithmetic.py | andreimaftei28/projects-on-JetBrainAcademy | 8c2b8ab7bab5757db94e9f0b6d55c33852f64ee1 | [
"MIT"
] | null | null | null |
level1 = "simple operations with numbers 2-9"
level2 = "integral squares of 11-29"
message = f"Which level do you want? Enter a number:\n1 - {level1}\n2 - {level2}\n "
user_choice = choose_level(input(message))
while user_choice == "Incorrect format.":
print(user_choice)
user_choice = choose_level(input(me... | 28.15493 | 102 | 0.563782 | import random
def operations(*args):
if len(args) > 1:
var1, oper, var2 = args
if oper == "+":
return var1 + var2
elif oper == "-":
return var1 - var2
elif oper == "*":
return var1 * var2
else:
return args[0] ** 2
def int_or_float(v... | 0 | 0 | 0 | 0 | 0 | 1,137 | 0 | -8 | 114 |
6c8c72e97a9e8e3f052049a4d52baeae902f0f4a | 700 | py | Python | tests/vocab_test.py | samuela/happyentropy | be7ac0ef255ac4336c7903b9e4e3ad36065fda9d | [
"MIT"
] | null | null | null | tests/vocab_test.py | samuela/happyentropy | be7ac0ef255ac4336c7903b9e4e3ad36065fda9d | [
"MIT"
] | null | null | null | tests/vocab_test.py | samuela/happyentropy | be7ac0ef255ac4336c7903b9e4e3ad36065fda9d | [
"MIT"
] | null | null | null | import unittest
if __name__ == '__main__':
unittest.main()
| 29.166667 | 49 | 0.737143 | import unittest
from happyentropy import vocab
def all_unique(lst):
return len(set(lst)) == len(lst)
class VocabTest(unittest.TestCase):
def testLengths(self):
self.assertEqual(len(vocab.COUNTS), 32)
self.assertEqual(len(vocab.ADJECTIVES), 128)
self.assertEqual(len(vocab.ANIMALS), 128)
self.assert... | 0 | 0 | 0 | 527 | 0 | 34 | 0 | 9 | 68 |