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9ed73e407562b79ec431ff9e6ae1ee26f6ba03da | 402 | py | Python | PyMOTW/source/collections/collections_deque_rotate.py | axetang/AxePython | 3b517fa3123ce2e939680ad1ae14f7e602d446a6 | [
"Apache-2.0"
] | 1 | 2019-01-04T05:47:50.000Z | 2019-01-04T05:47:50.000Z | PyMOTW/source/collections/collections_deque_rotate.py | axetang/AxePython | 3b517fa3123ce2e939680ad1ae14f7e602d446a6 | [
"Apache-2.0"
] | 1 | 2020-07-18T03:52:03.000Z | 2020-07-18T04:18:01.000Z | PyMOTW/source/collections/collections_deque_rotate.py | axetang/AxePython | 3b517fa3123ce2e939680ad1ae14f7e602d446a6 | [
"Apache-2.0"
] | 2 | 2021-03-06T04:28:32.000Z | 2021-03-06T04:59:17.000Z | #!/usr/bin/env python3
# encoding: utf-8
#
# Copyright (c) 2008 Doug Hellmann All rights reserved.
#
"""Manipulating the order of items in a deque.
"""
#end_pymotw_header
import collections
d = collections.deque(range(10))
print('Normal :', d)
d = collections.deque(range(10))
d.rotate(2)
print('Right rotation... | 18.272727 | 55 | 0.689055 | #!/usr/bin/env python3
# encoding: utf-8
#
# Copyright (c) 2008 Doug Hellmann All rights reserved.
#
"""Manipulating the order of items in a deque.
"""
#end_pymotw_header
import collections
d = collections.deque(range(10))
print('Normal :', d)
d = collections.deque(range(10))
d.rotate(2)
print('Right rotation... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
eec9a49cf9c8c2f5bd04068ea05aa3b970a23638 | 4,887 | py | Python | curve_fitting/curve_fitting.py | tufts-ml/covid19-forecasting | b0e3eed6cc03a981598d8f0b7c6fe882310c710d | [
"MIT"
] | 3 | 2020-04-02T23:38:02.000Z | 2020-04-08T18:57:16.000Z | curve_fitting/curve_fitting.py | tufts-ml/covid19-forecasting | b0e3eed6cc03a981598d8f0b7c6fe882310c710d | [
"MIT"
] | 24 | 2020-04-03T13:58:28.000Z | 2021-04-27T02:12:07.000Z | curve_fitting/curve_fitting.py | tufts-ml/covid19-forecasting | b0e3eed6cc03a981598d8f0b7c6fe882310c710d | [
"MIT"
] | null | null | null | import numpy as np
import scipy
import scipy.optimize
import argparse
import autograd.scipy
import autograd.numpy as ag_np
import autograd
## TODO:
# - Need a mapping from timesteps to dates
################## Functions for fitting data ########################
#####################################################... | 30.166667 | 112 | 0.565173 | import numpy as np
import scipy
import scipy.optimize
import argparse
import sklearn.metrics
import matplotlib.pyplot as plt
import autograd.scipy
import autograd.numpy as ag_np
import autograd
import pandas as pd
## TODO:
# - Need a mapping from timesteps to dates
################## Functions for fitting data ####... | 0 | 0 | 0 | 0 | 0 | 1,993 | 0 | 9 | 250 |
bf1d5832a330171a8f98c1fe7bacdfe8b23b8baa | 3,059 | py | Python | debug_tools.py | Obs01ete/pytorch-detection | 4af02e232b38fd202bb348e9bbe7373c7eba165b | [
"MIT"
] | 11 | 2018-07-24T09:31:19.000Z | 2021-04-07T06:20:38.000Z | debug_tools.py | Obs01ete/pytorch-detection | 4af02e232b38fd202bb348e9bbe7373c7eba165b | [
"MIT"
] | null | null | null | debug_tools.py | Obs01ete/pytorch-detection | 4af02e232b38fd202bb348e9bbe7373c7eba165b | [
"MIT"
] | 1 | 2019-07-10T05:48:15.000Z | 2019-07-10T05:48:15.000Z | import os
import cv2
import itertools
import numpy as np
def dump_images(
names, pil_images, annotations, detections, stats,
labelmap, dir):
"""
Dumps images with bbox overlays to disk.
:param names: batch of sample names
:param pil_images: batch of original PIL images
:param anno... | 37.304878 | 107 | 0.459954 | import os
import cv2
import itertools
import numpy as np
def dump_images(
names, pil_images, annotations, detections, stats,
labelmap, dir):
"""
Dumps images with bbox overlays to disk.
:param names: batch of sample names
:param pil_images: batch of original PIL images
:param anno... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5d1fdef795f2ddcf487065b8229340dd1325c90f | 4,984 | py | Python | playhouse/tests/test_gfk.py | alexlatchford/peewee | f3795767f7b46c8b5335ea0257df2a1d269fc85b | [
"MIT"
] | 1 | 2017-04-27T15:04:48.000Z | 2017-04-27T15:04:48.000Z | playhouse/tests/test_gfk.py | alexlatchford/peewee | f3795767f7b46c8b5335ea0257df2a1d269fc85b | [
"MIT"
] | null | null | null | playhouse/tests/test_gfk.py | alexlatchford/peewee | f3795767f7b46c8b5335ea0257df2a1d269fc85b | [
"MIT"
] | 3 | 2019-02-07T04:16:40.000Z | 2021-05-02T17:07:18.000Z | from playhouse.tests.base import database_initializer
db = database_initializer.get_in_memory_database()
| 29.491124 | 90 | 0.57183 | from peewee import *
from playhouse.gfk import *
from playhouse.tests.base import database_initializer
from playhouse.tests.base import ModelTestCase
db = database_initializer.get_in_memory_database()
class BaseModel(Model):
class Meta:
database = db
def add_tag(self, tag):
t = Tag(tag=tag)
... | 0 | 0 | 0 | 4,640 | 0 | 0 | 0 | 30 | 204 |
25e8763f549dbe42f23a96b48a41e83507ebf36a | 196 | py | Python | contrib/plugins/example/cranecli_plugin_example/__init__.py | friendliai/crane-public | 6f173ebc676f888f097e1d878b600a91a1637867 | [
"Apache-2.0"
] | 2 | 2022-03-13T16:30:34.000Z | 2022-03-13T17:01:17.000Z | contrib/plugins/example/cranecli_plugin_example/__init__.py | friendliai/crane-public | 6f173ebc676f888f097e1d878b600a91a1637867 | [
"Apache-2.0"
] | 1 | 2022-03-13T16:30:20.000Z | 2022-03-13T16:30:20.000Z | contrib/plugins/example/cranecli_plugin_example/__init__.py | friendliai/crane-public | 6f173ebc676f888f097e1d878b600a91a1637867 | [
"Apache-2.0"
] | null | null | null | import typer
app = typer.Typer()
| 16.333333 | 31 | 0.683673 | import typer
app = typer.Typer()
@app.callback('example_plugin')
def check_cmd_group():
"""Example plugin."""
@app.command("first_command")
def _first_command():
"""Example command."""
| 0 | 116 | 0 | 0 | 0 | 0 | 0 | 0 | 46 |
8e3971f397a3ef8f4a832739b918a40f05532204 | 8,841 | py | Python | src/state_test.py | mapto/- | 532ec719c44eaad405d1bd7b339e92ecbdbe9021 | [
"MIT"
] | null | null | null | src/state_test.py | mapto/- | 532ec719c44eaad405d1bd7b339e92ecbdbe9021 | [
"MIT"
] | null | null | null | src/state_test.py | mapto/- | 532ec719c44eaad405d1bd7b339e92ecbdbe9021 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# coding: utf-8
from state import Board, Piece
def test_2_players_board_init(monkeypatch):
"""Make sure if we have just two players in a 4 corner board for them
to be at the opposite corners instead of next to each other.
"""
board = Board.create([1, 3])
# Redundant assert... | 29.767677 | 86 | 0.651058 | #!/usr/bin/env python3
# coding: utf-8
import pytest # type: ignore
from state import Board, Piece, GameState, GameMove
import dataclasses, json
def test_default_board_init(monkeypatch):
board = Board.create()
# Defaults asserts
assert board.players == [0, 1, 2, 3]
assert board.pieces_per_player ==... | 0 | 0 | 0 | 0 | 0 | 5,855 | 0 | 16 | 314 |
c2b3c5c10be5ab1bf07ac062a8e5b7ccb3107bd2 | 697 | py | Python | hcipy/atmosphere/__init__.py | kian1377/hcipy | f398e82797b3adbc263e9a35d9389ba7b62342f2 | [
"MIT"
] | 55 | 2018-06-29T01:13:26.000Z | 2022-03-13T09:18:06.000Z | hcipy/atmosphere/__init__.py | kian1377/hcipy | f398e82797b3adbc263e9a35d9389ba7b62342f2 | [
"MIT"
] | 121 | 2018-06-12T05:01:05.000Z | 2022-02-10T20:11:13.000Z | hcipy/atmosphere/__init__.py | kian1377/hcipy | f398e82797b3adbc263e9a35d9389ba7b62342f2 | [
"MIT"
] | 21 | 2018-07-09T11:01:29.000Z | 2022-03-15T02:47:24.000Z | __all__ = [
'MultiLayerAtmosphere',
'AtmosphericLayer',
'phase_covariance_von_karman',
'phase_structure_function_von_karman',
'power_spectral_density_von_karman',
'Cn_squared_from_fried_parameter',
'fried_parameter_from_Cn_squared',
'seeing_to_fried_parameter',
'fried_parameter_to_se... | 30.304348 | 42 | 0.790531 | __all__ = [
'MultiLayerAtmosphere',
'AtmosphericLayer',
'phase_covariance_von_karman',
'phase_structure_function_von_karman',
'power_spectral_density_von_karman',
'Cn_squared_from_fried_parameter',
'fried_parameter_from_Cn_squared',
'seeing_to_fried_parameter',
'fried_parameter_to_se... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 111 |
640d992c68c2edd7b063e2365b93402278063ebb | 2,794 | py | Python | trait_documenter/module_trait_documenter.py | enthought/trait-documenter | b1da37986008d2558a0e9b13b13c7a75e7b15c7a | [
"BSD-3-Clause"
] | null | null | null | trait_documenter/module_trait_documenter.py | enthought/trait-documenter | b1da37986008d2558a0e9b13b13c7a75e7b15c7a | [
"BSD-3-Clause"
] | 18 | 2015-07-21T17:35:25.000Z | 2021-06-15T07:15:40.000Z | trait_documenter/module_trait_documenter.py | enthought/trait-documenter | b1da37986008d2558a0e9b13b13c7a75e7b15c7a | [
"BSD-3-Clause"
] | null | null | null | # ---------------------------------------------------------------------------
#
# Copyright (c) 2014, Enthought, Inc.
# All rights reserved.
#
# This software is provided without warranty under the terms of the BSD
# license included in /LICENSE.txt and may be redistributed only
# under the conditions described in... | 34.925 | 80 | 0.6267 | # ---------------------------------------------------------------------------
#
# Copyright (c) 2014, Enthought, Inc.
# All rights reserved.
#
# This software is provided without warranty under the terms of the BSD
# license included in /LICENSE.txt and may be redistributed only
# under the conditions described in... | 0 | 274 | 0 | 1,731 | 0 | 0 | 0 | 119 | 69 |
c86e3d3957b37e243483942d1307c1790c27f327 | 1,478 | py | Python | photos/views.py | TracyOgutu/PersonalGallery | e1c856b2ae97beaa9a0d863bf5577566f0561648 | [
"Unlicense"
] | null | null | null | photos/views.py | TracyOgutu/PersonalGallery | e1c856b2ae97beaa9a0d863bf5577566f0561648 | [
"Unlicense"
] | 4 | 2020-06-06T00:18:34.000Z | 2021-09-08T01:32:07.000Z | photos/views.py | TracyOgutu/PersonalGallery | e1c856b2ae97beaa9a0d863bf5577566f0561648 | [
"Unlicense"
] | null | null | null |
# Create your views here.
| 36.95 | 111 | 0.716509 | from django.shortcuts import render
from django.http import HttpResponse
from .models import Image
# Create your views here.
def welcome(request):
photos = Image.display_photos()
return render(request, 'welcome.html',{"photos":photos})
def singlephoto(request,photoid):
try:
singlephoto=Image.obje... | 0 | 0 | 0 | 0 | 0 | 1,261 | 0 | 33 | 157 |
443055790eec7eadaf8911fdb0558e270c1e2398 | 813 | py | Python | src/dictionaries/frequency/wordfreq/wordfreq-en.py | henge-tech/henge | 33d958cf4e170fe27c92fd6dd426558d81ba46cb | [
"MIT"
] | 2 | 2016-08-13T03:14:37.000Z | 2016-08-21T14:09:13.000Z | src/dictionaries/frequency/wordfreq/wordfreq-en.py | koseki/wordcircle | 17472c450b89fc780765dcb8228b27eb60dd6ea5 | [
"MIT"
] | 9 | 2017-09-18T08:37:47.000Z | 2022-02-26T03:35:15.000Z | src/dictionaries/frequency/wordfreq/wordfreq-en.py | koseki/wordcircle | 17472c450b89fc780765dcb8228b27eb60dd6ea5 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
from wordfreq import word_frequency, iter_wordlist
import regex
iter = iter_wordlist('en', 'large')
re_nonlatin = regex.compile('[^-_\p{Latin}\d\.\']')
re_alphabet = regex.compile('[a-z]', regex.IGNORECASE)
re_underscore = regex.compile('_')
last_freq = -1
position = 0
current_line = 0
for wo... | 22.583333 | 54 | 0.635916 | #! /usr/bin/env python
from wordfreq import word_frequency, iter_wordlist
import regex
iter = iter_wordlist('en', 'large')
re_nonlatin = regex.compile('[^-_\p{Latin}\d\.\']')
re_alphabet = regex.compile('[a-z]', regex.IGNORECASE)
re_underscore = regex.compile('_')
last_freq = -1
position = 0
current_line = 0
for wo... | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f751044e28cb4bad581409c61f6d9e220bf09d27 | 3,184 | py | Python | setup.py | unicef/etools-permissions | 7a6da87c9829290af3cea458314e60dd6d1239fd | [
"Apache-2.0"
] | null | null | null | setup.py | unicef/etools-permissions | 7a6da87c9829290af3cea458314e60dd6d1239fd | [
"Apache-2.0"
] | null | null | null | setup.py | unicef/etools-permissions | 7a6da87c9829290af3cea458314e60dd6d1239fd | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import ast
import codecs
import os.path
import re
import sys
from codecs import open
from setuptools import find_packages, setup
ROOT = os.path.realpath(os.path.dirname(__file__))
init = os.path.join(ROOT, 'src', 'etools_permissions', '__init__.py')
_version_re = re.compi... | 31.524752 | 139 | 0.617148 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import ast
import codecs
import os.path
import re
import subprocess
import sys
from codecs import open
from distutils import log
from distutils.errors import DistutilsError
from setuptools import find_packages, setup
from setuptools.command.install import install
from setu... | 0 | 0 | 0 | 602 | 0 | 756 | 0 | 88 | 202 |
a29321a5dfee1bcf168d56d8a42fcfb8f629e1cb | 1,123 | py | Python | Python3/Books/Douson/chapter12/rotate_sprite.py | neon1ks/Study | 5d40171cf3bf5e8d3a95539e91f5afec54d1daf3 | [
"MIT"
] | null | null | null | Python3/Books/Douson/chapter12/rotate_sprite.py | neon1ks/Study | 5d40171cf3bf5e8d3a95539e91f5afec54d1daf3 | [
"MIT"
] | null | null | null | Python3/Books/Douson/chapter12/rotate_sprite.py | neon1ks/Study | 5d40171cf3bf5e8d3a95539e91f5afec54d1daf3 | [
"MIT"
] | null | null | null | # Rotate Sprite
# Demonstrates rotating a sprite
from livewires import games
games.init(screen_width = 640, screen_height = 480, fps = 50)
main()
| 28.794872 | 70 | 0.606411 | # Rotate Sprite
# Demonstrates rotating a sprite
from livewires import games
games.init(screen_width = 640, screen_height = 480, fps = 50)
class Ship(games.Sprite):
""" A rotating ship. """
def update(self):
""" Rotate based on keys pressed. """
if games.keyboard.is_pressed(games.K_RIGHT):
... | 0 | 0 | 0 | 581 | 0 | 346 | 0 | 0 | 47 |
0e56b0b9402261570a2145b88b4a3fc791c04b2d | 106 | py | Python | Code/data/__init__.py | SimpleLonely/DataIntegration | 7222c5fde66608a8fa68ae398c5f8116fe3776f3 | [
"MIT"
] | null | null | null | Code/data/__init__.py | SimpleLonely/DataIntegration | 7222c5fde66608a8fa68ae398c5f8116fe3776f3 | [
"MIT"
] | 2 | 2021-03-31T19:52:58.000Z | 2021-12-13T20:43:37.000Z | Code/data/__init__.py | SimpleLonely/DataIntegration | 7222c5fde66608a8fa68ae398c5f8116fe3776f3 | [
"MIT"
] | 1 | 2020-07-04T12:26:27.000Z | 2020-07-04T12:26:27.000Z | __all__ = ['get_bond_yields','get_company','get_fund','get_manager','get_stock_holders','return_rate_dao'] | 106 | 106 | 0.792453 | __all__ = ['get_bond_yields','get_company','get_fund','get_manager','get_stock_holders','return_rate_dao'] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c5d9bcd78d1ba9621a55491bdce0f549cc198d5e | 964 | py | Python | examples/07_compare_extthiem3d_grfsteady.py | JarnoHerr/AnaFlow | a7c56cdadf90d652f80bc1e1d38d3687d0365a63 | [
"MIT"
] | null | null | null | examples/07_compare_extthiem3d_grfsteady.py | JarnoHerr/AnaFlow | a7c56cdadf90d652f80bc1e1d38d3687d0365a63 | [
"MIT"
] | null | null | null | examples/07_compare_extthiem3d_grfsteady.py | JarnoHerr/AnaFlow | a7c56cdadf90d652f80bc1e1d38d3687d0365a63 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
from matplotlib import pyplot as plt
from anaflow import ext_thiem_3d, ext_grf_steady
from anaflow.tools.coarse_graining import K_CG
rad = np.geomspace(0.05, 4) # radius from the pumping well in [0, 4]
r_ref = 2.0 # reference radius
var = 0.5 ... | 35.703704 | 107 | 0.645228 | # -*- coding: utf-8 -*-
import numpy as np
from matplotlib import pyplot as plt
from anaflow import ext_thiem_3d, ext_grf_steady
from anaflow.tools.coarse_graining import K_CG
rad = np.geomspace(0.05, 4) # radius from the pumping well in [0, 4]
r_ref = 2.0 # reference radius
var = 0.5 ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
51531174e63cb89f2b96f409e0af0903be0a85f6 | 2,339 | py | Python | trodesnetwork-0.0.9/trodesnetwork-0.0.9/trodesnetwork/trodes/digital.py | JohnLauFoo/clc_packages_Yu | 259f01d9b5c02154ce258734d519ae8995cd0991 | [
"MIT"
] | 1 | 2021-11-13T17:21:44.000Z | 2021-11-13T17:21:44.000Z | trodesnetwork-0.0.9/trodesnetwork-0.0.9/trodesnetwork/trodes/digital.py | JohnLauFoo/clc_packages_Yu | 259f01d9b5c02154ce258734d519ae8995cd0991 | [
"MIT"
] | null | null | null | trodesnetwork-0.0.9/trodesnetwork-0.0.9/trodesnetwork/trodes/digital.py | JohnLauFoo/clc_packages_Yu | 259f01d9b5c02154ce258734d519ae8995cd0991 | [
"MIT"
] | null | null | null | import trodesnetwork.socket as socket
import trodesnetwork.trodes as trodes
'''
Use this class to subscribe to analog sources
Requires input of a channel map object. The channel map is just
a JSON-like dictionary of the XML HardwareConfiguration node
in the `.trodesconfig` file.
Requires a server_address to connect ... | 33.414286 | 98 | 0.690894 | import trodesnetwork.socket as socket
import trodesnetwork.trodes as trodes
import threading
'''
Use this class to subscribe to analog sources
Requires input of a channel map object. The channel map is just
a JSON-like dictionary of the XML HardwareConfiguration node
in the `.trodesconfig` file.
Requires a server_a... | 0 | 0 | 0 | 1,624 | 0 | 0 | 0 | -5 | 90 |
38776c3e628fb4fa238fe4f7201f3af52af17c74 | 17,389 | py | Python | qiskit/transpiler/passes/mapping/legacy_swap.py | biplab37/qiskit-aakash | e10b204887606f1f75bdfde182bb0c6d0a322c68 | [
"Apache-2.0"
] | 22 | 2019-08-15T04:39:15.000Z | 2022-03-06T05:17:04.000Z | qiskit/transpiler/passes/mapping/legacy_swap.py | biplab37/qiskit-aakash | e10b204887606f1f75bdfde182bb0c6d0a322c68 | [
"Apache-2.0"
] | 2 | 2020-10-26T07:12:12.000Z | 2021-12-09T16:22:51.000Z | qiskit/transpiler/passes/mapping/legacy_swap.py | biplab37/qiskit-aakash | e10b204887606f1f75bdfde182bb0c6d0a322c68 | [
"Apache-2.0"
] | 9 | 2019-09-05T05:33:00.000Z | 2021-10-09T16:04:53.000Z | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2019.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any... | 43.690955 | 98 | 0.546782 | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2019.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any... | 0 | 0 | 0 | 16,458 | 0 | 0 | 0 | 125 | 179 |
cc0e6a9f0ec7d82d3157a57807c5e477b2c5ecae | 616 | py | Python | src/unicon/plugins/ironware/settings.py | TestingBytes/unicon.plugins | 0600956d805deb4fd790aa3ef591c5d659e85de1 | [
"Apache-2.0"
] | 18 | 2019-11-23T23:14:53.000Z | 2022-01-10T01:17:08.000Z | src/unicon/plugins/ironware/settings.py | TestingBytes/unicon.plugins | 0600956d805deb4fd790aa3ef591c5d659e85de1 | [
"Apache-2.0"
] | 12 | 2020-11-09T20:39:25.000Z | 2022-03-22T12:46:59.000Z | src/unicon/plugins/ironware/settings.py | TestingBytes/unicon.plugins | 0600956d805deb4fd790aa3ef591c5d659e85de1 | [
"Apache-2.0"
] | 32 | 2020-02-12T15:42:22.000Z | 2022-03-15T16:42:10.000Z | """
Module:
unicon.plugins.ironware.settings
Author:
James Di Trapani <james@ditrapani.com.au> - https://github.com/jamesditrapani
Description:
Define/Override Generic Settings specific to the Ironware NOS
"""
__author__ = "James Di Trapani <james@ditrapani.com.au>"
| 24.64 | 81 | 0.717532 | """
Module:
unicon.plugins.ironware.settings
Author:
James Di Trapani <james@ditrapani.com.au> - https://github.com/jamesditrapani
Description:
Define/Override Generic Settings specific to the Ironware NOS
"""
from unicon.plugins.generic.settings import GenericSettings
__author__ = "James Di Trapani <ja... | 0 | 0 | 0 | 249 | 0 | 0 | 0 | 38 | 46 |
bcfabb13a4472146d128e09dc0769e2bdd86cab1 | 1,354 | py | Python | exemples/get-leaf-location.py | RenzoF/pycarwings2 | 3fd51b4211fa39bc40b0121f7648fbcb79cab2bc | [
"Apache-2.0"
] | 1 | 2020-10-28T13:59:34.000Z | 2020-10-28T13:59:34.000Z | exemples/get-leaf-location.py | gym22/pycarwings2 | d4dfe9cd198a1207ae18ec17c8345c7e3a545a39 | [
"Apache-2.0"
] | null | null | null | exemples/get-leaf-location.py | gym22/pycarwings2 | d4dfe9cd198a1207ae18ec17c8345c7e3a545a39 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
#import sys
# sys.path.append('/home/ruben/leaf/pycarwings2/pycarwings2')
import pycarwings2
import time
from ConfigParser import SafeConfigParser
import logging
import sys
import pprint
logging.basicConfig(stream=sys.stdout, level=logging.ERROR)
parser = SafeConfigParser()
candidates = ['config.... | 28.208333 | 101 | 0.717134 | #!/usr/bin/python
#import sys
# sys.path.append('/home/ruben/leaf/pycarwings2/pycarwings2')
import pycarwings2
import time
from ConfigParser import SafeConfigParser
import logging
import sys
import pprint
logging.basicConfig(stream=sys.stdout, level=logging.ERROR)
parser = SafeConfigParser()
candidates = ['config.... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
87528d07a78c77bbc785544cc66be4a15f2c6f6b | 521 | py | Python | files/main.py | Jelaque/Topics-on-database | fd9ab659203dbd205b9e255d920b4ebc1cacd2a5 | [
"MIT"
] | null | null | null | files/main.py | Jelaque/Topics-on-database | fd9ab659203dbd205b9e255d920b4ebc1cacd2a5 | [
"MIT"
] | null | null | null | files/main.py | Jelaque/Topics-on-database | fd9ab659203dbd205b9e255d920b4ebc1cacd2a5 | [
"MIT"
] | null | null | null | from distances import recommender
s = recommender(0)
s.readMovies()
'''
s = recommender(0,k=3,metric='manhattan')
s.readBooks()
#print(s.jaccard(s.data['Stephen'],s.data['Amy']))
print(s.ProjectedRanting('Patrick C','Scarface'))
'''
'''
r = recommenderMl100k(0,metric='cosine')
r.loadMovieLens('../datasets/ml-100k/')
... | 26.05 | 53 | 0.706334 | from ml100k import recommenderMl100k
import time as tm
from distances import recommender
s = recommender(0)
s.readMovies()
'''
s = recommender(0,k=3,metric='manhattan')
s.readBooks()
#print(s.jaccard(s.data['Stephen'],s.data['Amy']))
print(s.ProjectedRanting('Patrick C','Scarface'))
'''
'''
r = recommenderMl100k(0,me... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 44 |
facc083e9f0d0807df4902b88bbc45dae0e14c0e | 13,750 | py | Python | notebooks/scripts/graphs.py | mtsnel006/covid19za | 5db79ecb616041ff7980230d5995d90d6dbc86f5 | [
"MIT"
] | 266 | 2020-03-13T13:39:38.000Z | 2022-03-18T06:51:57.000Z | notebooks/scripts/graphs.py | mtsnel006/covid19za | 5db79ecb616041ff7980230d5995d90d6dbc86f5 | [
"MIT"
] | 287 | 2020-03-13T12:22:50.000Z | 2022-02-22T16:06:24.000Z | notebooks/scripts/graphs.py | mtsnel006/covid19za | 5db79ecb616041ff7980230d5995d90d6dbc86f5 | [
"MIT"
] | 263 | 2020-03-13T11:44:05.000Z | 2022-03-27T15:11:52.000Z | import os
import seaborn as sns
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from textwrap import wrap
### NOTE: `conda install basemap`
import conda
conda_file_dir = conda.__file__
conda_dir = conda_file_dir.split('lib')[0]
proj_lib = os.path.join(os.path.join(conda_dir, 'share'), 'proj')
os.... | 47.250859 | 188 | 0.627564 | import os
import seaborn as sns
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from datetime import datetime
from textwrap import wrap
### NOTE: `conda install basemap`
import conda
conda_file_dir = conda.__file__
conda_dir = conda_file_dir.split('lib')[0]
proj_lib = os.path.join(os.path.join(co... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 22 |
05cf4149c5c572c18ab5076c38f9371a9b8b39cc | 855 | py | Python | lesson-04/classwork6.py | weibak/lessons | 414f030650427d7167c2e58ecb9f858c2e5edb40 | [
"BSD-3-Clause"
] | null | null | null | lesson-04/classwork6.py | weibak/lessons | 414f030650427d7167c2e58ecb9f858c2e5edb40 | [
"BSD-3-Clause"
] | null | null | null | lesson-04/classwork6.py | weibak/lessons | 414f030650427d7167c2e58ecb9f858c2e5edb40 | [
"BSD-3-Clause"
] | null | null | null | """
, n m ( n m),
x .
"""
start_number = int(input("Enter start number:"))
end_number = int(input("Enter end number:"))
# Generate elements from start_number to end_number (including)
my_count = 0
for element in range(start_number, end_number + 1):
# Check if this element is the prime number
... | 29.482759 | 102 | 0.676023 | """
Вывести в порядке возрастания все простые числа, расположенные между n и m (включая сами числа n и m),
а также количество x этих чисел.
"""
start_number = int(input("Enter start number:"))
end_number = int(input("Enter end number:"))
# Generate elements from start_number to end_number (including)
my_count = 0
fo... | 204 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
537aa9bfd787ebe3ac95f20a3cad16a9e5582a19 | 1,131 | py | Python | test2.py | Atul-Anand-Jha/Email_Automation_Python | 2bd558ef4d58d2ad9e1807b227872db655dfa0bd | [
"MIT"
] | 2 | 2020-11-07T13:50:33.000Z | 2020-11-09T04:34:52.000Z | test2.py | Atul-Anand-Jha/Email-Automation-Python | 2bd558ef4d58d2ad9e1807b227872db655dfa0bd | [
"MIT"
] | null | null | null | test2.py | Atul-Anand-Jha/Email-Automation-Python | 2bd558ef4d58d2ad9e1807b227872db655dfa0bd | [
"MIT"
] | null | null | null | import pandas as pd
import smtplib
import imghdr
from email.message import EmailMessage
SenderAddress = "XYZ@gmail.com"
password = "ndXX@XX3$#XXX"
e = pd.read_excel("email.xlsx")
emails = e['Emails'].values
names = e["Names"].values
file = "banner.jpg"
msg = EmailMessage()
msg['Subject'] = "Hello world - dynamic"
msg... | 28.275 | 88 | 0.697613 | import pandas as pd
import smtplib
import imghdr
from email.message import EmailMessage
SenderAddress = "XYZ@gmail.com"
password = "ndXX@XX3$#XXX"
e = pd.read_excel("email.xlsx")
emails = e['Emails'].values
names = e["Names"].values
file = "banner.jpg"
msg = EmailMessage()
msg['Subject'] = "Hello world - dynamic"
msg... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
aa61305c266822997c121859d13f0a5ce52bfaef | 737 | py | Python | ocrd_models/ocrd_page_user_methods/set_points.py | hnesk/core | 5a79220bc31572410e705d13ca178cf284cdc9fb | [
"Apache-2.0"
] | 91 | 2018-05-23T12:52:11.000Z | 2022-03-19T20:43:49.000Z | ocrd_models/ocrd_page_user_methods/set_points.py | hnesk/core | 5a79220bc31572410e705d13ca178cf284cdc9fb | [
"Apache-2.0"
] | 636 | 2018-04-23T15:57:31.000Z | 2022-03-31T11:46:11.000Z | ocrd_models/ocrd_page_user_methods/set_points.py | hnesk/core | 5a79220bc31572410e705d13ca178cf284cdc9fb | [
"Apache-2.0"
] | 25 | 2018-05-22T11:53:09.000Z | 2021-07-20T13:07:43.000Z | def set_points(self, points):
"""
Set coordinate polygon by given string.
Moreover, invalidate the parent's ``pc:AlternativeImage``s
(because they will have been cropped with a bbox
of the previous polygon).
"""
if hasattr(self, 'parent_object_'):
parent = self.parent_object_
... | 43.352941 | 113 | 0.693351 | def set_points(self, points):
"""
Set coordinate polygon by given string.
Moreover, invalidate the parent's ``pc:AlternativeImage``s
(because they will have been cropped with a bbox
of the previous polygon).
"""
if hasattr(self, 'parent_object_'):
parent = self.parent_object_
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
01053b6bf07baa6c1e179859a8d3d680039a21b1 | 3,455 | py | Python | utils.py | JiekaiJia/pettingzoo_comunication | 1e85d5edb87ac867385649616e030284c0b6910f | [
"MIT"
] | 1 | 2021-11-14T13:16:16.000Z | 2021-11-14T13:16:16.000Z | utils.py | JiekaiJia/pettingzoo_comunication | 1e85d5edb87ac867385649616e030284c0b6910f | [
"MIT"
] | null | null | null | utils.py | JiekaiJia/pettingzoo_comunication | 1e85d5edb87ac867385649616e030284c0b6910f | [
"MIT"
] | null | null | null | """This module provides functions that make sure environment to be compatible with RLlib. If Rllib is not used, please
directly use the wrapper in comm_channel.py."""
def main_comm_env(base_env, comm_dict):
"""Wrap the communication channel into Pettingzoo main environment, and padding the environment."""
ret... | 33.221154 | 118 | 0.661939 | """This module provides functions that make sure environment to be compatible with RLlib. If Rllib is not used, please
directly use the wrapper in comm_channel.py."""
import numpy as np
from pettingzoo.utils.conversions import to_parallel_wrapper
from pettingzoo.utils.wrappers import AssertOutOfBoundsWrapper, OrderEnf... | 0 | 0 | 0 | 875 | 0 | 1,330 | 0 | 245 | 329 |
0820dda78f060e137ddbdd471c8564150d4f60cc | 1,844 | py | Python | devtest/roles/__init__.py | pycopia/devtest | 9ec93045ba4bab5b20ce99dc61cebd5b5a234d01 | [
"Apache-2.0"
] | null | null | null | devtest/roles/__init__.py | pycopia/devtest | 9ec93045ba4bab5b20ce99dc61cebd5b5a234d01 | [
"Apache-2.0"
] | null | null | null | devtest/roles/__init__.py | pycopia/devtest | 9ec93045ba4bab5b20ce99dc61cebd5b5a234d01 | [
"Apache-2.0"
] | null | null | null | # Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the ... | 27.939394 | 80 | 0.70282 | # Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the ... | 0 | 0 | 0 | 727 | 0 | 0 | 0 | -11 | 69 |
4112cc494680d71604be0aece6b9d93ed3587371 | 555 | py | Python | tests/unitary/LiquidityGaugeV3/test_checkpoint.py | AqualisDAO/curve-dao-contracts | beec73a068da8ed01c0f710939dc5adb776d565b | [
"MIT"
] | 217 | 2020-06-24T14:01:21.000Z | 2022-03-29T08:35:24.000Z | tests/unitary/LiquidityGaugeV3/test_checkpoint.py | AqualisDAO/curve-dao-contracts | beec73a068da8ed01c0f710939dc5adb776d565b | [
"MIT"
] | 25 | 2020-06-24T09:39:02.000Z | 2022-03-22T17:03:00.000Z | tests/unitary/LiquidityGaugeV3/test_checkpoint.py | AqualisDAO/curve-dao-contracts | beec73a068da8ed01c0f710939dc5adb776d565b | [
"MIT"
] | 110 | 2020-07-10T22:45:49.000Z | 2022-03-29T02:51:08.000Z |
YEAR = 86400 * 365
| 29.210526 | 68 | 0.727928 | import brownie
YEAR = 86400 * 365
def test_user_checkpoint(accounts, gauge_v3):
gauge_v3.user_checkpoint(accounts[1], {"from": accounts[1]})
def test_user_checkpoint_new_period(accounts, chain, gauge_v3):
gauge_v3.user_checkpoint(accounts[1], {"from": accounts[1]})
chain.sleep(int(YEAR * 1.1))
gaug... | 0 | 0 | 0 | 0 | 0 | 448 | 0 | -7 | 91 |
19ecc76fe435519b4c3484ec1cf271408e0a23af | 85 | py | Python | src/Paterns/run.py | seyedalirahimi/tehran-stocks | e22950f0534ad4962c9a2f00560675a1d8c8d94d | [
"MIT"
] | null | null | null | src/Paterns/run.py | seyedalirahimi/tehran-stocks | e22950f0534ad4962c9a2f00560675a1d8c8d94d | [
"MIT"
] | null | null | null | src/Paterns/run.py | seyedalirahimi/tehran-stocks | e22950f0534ad4962c9a2f00560675a1d8c8d94d | [
"MIT"
] | null | null | null | from ta.momentum import rsi
if __name__ == "__main__":
_rsi14 = rsi(Closes, 14)
| 17 | 28 | 0.682353 | from ta.momentum import rsi
if __name__ == "__main__":
_rsi14 = rsi(Closes, 14)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6a17f2469eaf20aab41dc48c7e885593c2f915e8 | 2,322 | py | Python | setup.py | pberkes/enaml | cbcbee929e3117dfe56c0b06dc2385acc832b0e8 | [
"BSD-3-Clause-Clear"
] | null | null | null | setup.py | pberkes/enaml | cbcbee929e3117dfe56c0b06dc2385acc832b0e8 | [
"BSD-3-Clause-Clear"
] | null | null | null | setup.py | pberkes/enaml | cbcbee929e3117dfe56c0b06dc2385acc832b0e8 | [
"BSD-3-Clause-Clear"
] | null | null | null | #------------------------------------------------------------------------------
# Copyright (c) 2013, Nucleic Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
#-------------------------------------------------... | 25.8 | 79 | 0.518949 | #------------------------------------------------------------------------------
# Copyright (c) 2013, Nucleic Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
#-------------------------------------------------... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9f11efd5d577c1b8e6eeefaf3cd91e56b5e55c1d | 566 | py | Python | python_program/myProject/ProjectTest/TestCase/test_information.py | luei1987kg/July_Learn | 3ac6eab5d4442f9e4c2a254e0933382a52921b99 | [
"MIT"
] | null | null | null | python_program/myProject/ProjectTest/TestCase/test_information.py | luei1987kg/July_Learn | 3ac6eab5d4442f9e4c2a254e0933382a52921b99 | [
"MIT"
] | null | null | null | python_program/myProject/ProjectTest/TestCase/test_information.py | luei1987kg/July_Learn | 3ac6eab5d4442f9e4c2a254e0933382a52921b99 | [
"MIT"
] | null | null | null | __author__='administrator'
# -*- coding:utf-8 -*-
# if __name__=="__main__":
# unittest.main()
# tester=Test()
# tester.setUp()
# tester.test01()
# tester.test02()
# tester.test03()
# tester.tearDown() | 20.962963 | 31 | 0.558304 | __author__='administrator'
# -*- coding:utf-8 -*-
import unittest
import time
class Test(unittest.TestCase):
def setUp(self):
print "start!"
def tearDown(self):
time.sleep(1)
print"end!"
def test01(self):
print"执行测试用例01"
def test03(self):
print"执行测试... | 54 | 0 | 0 | 255 | 0 | 0 | 0 | -16 | 69 |
6f50dd888966d3ffd28e4e4c221644a077b33442 | 15,416 | py | Python | lenstronomy/ImSim/Numerics/convolution.py | lucateo/lenstronomy | 3ab6cfd4adea2222f02d3f0f1a9cb5390c533aab | [
"MIT"
] | 107 | 2017-08-25T20:03:51.000Z | 2022-03-30T19:52:21.000Z | lenstronomy/ImSim/Numerics/convolution.py | pierrefleury/lenstronomy | 5973f9b45761bab434bb273a1882ca3b45f5264b | [
"MIT"
] | 235 | 2017-06-07T13:30:53.000Z | 2022-03-28T12:44:04.000Z | lenstronomy/ImSim/Numerics/convolution.py | pierrefleury/lenstronomy | 5973f9b45761bab434bb273a1882ca3b45f5264b | [
"MIT"
] | 68 | 2018-02-01T15:47:20.000Z | 2022-03-27T12:44:32.000Z | import threading
#from scipy._lib._version import NumpyVersion
_rfft_mt_safe = True # (NumpyVersion(np.__version__) >= '1.9.0.dev-e24486e')
_rfft_lock = threading.Lock()
import lenstronomy.Util.kernel_util as kernel_util
import lenstronomy.Util.util as util
import lenstronomy.Util.image_util as image_util
from lenst... | 41.219251 | 153 | 0.644006 | from scipy import fftpack, ndimage, signal
import numpy as np
import threading
#from scipy._lib._version import NumpyVersion
_rfft_mt_safe = True # (NumpyVersion(np.__version__) >= '1.9.0.dev-e24486e')
_rfft_lock = threading.Lock()
import lenstronomy.Util.kernel_util as kernel_util
import lenstronomy.Util.util as uti... | 0 | 14,504 | 0 | 0 | 0 | 316 | 0 | 18 | 182 |
9b6f47641a5011280fdcbe941a421e6f089aa809 | 490 | py | Python | 2_3_plistlib.py | gregneagle/mtc2013_python | 210aa9f216a143f1723d1f9b04dfc79c545f4df6 | [
"Apache-2.0"
] | 4 | 2015-05-23T16:05:45.000Z | 2017-09-17T17:12:56.000Z | 2_3_plistlib.py | gregneagle/mtc2013_python | 210aa9f216a143f1723d1f9b04dfc79c545f4df6 | [
"Apache-2.0"
] | null | null | null | 2_3_plistlib.py | gregneagle/mtc2013_python | 210aa9f216a143f1723d1f9b04dfc79c545f4df6 | [
"Apache-2.0"
] | null | null | null | import plistlib
filename = "/Applications/Safari.app/Contents/Info.plist"
info = plistlib.readPlist(filename)
info["CFBundleGetInfoString"]
version = info["CFBundleShortVersionString"]
print version
print info["CFBundleURLTypes"]
print info["CFBundleURLTypes"][0]
print info["CFBundleURLTypes"][0]["CFBundleURLSchem... | 24.5 | 61 | 0.789796 | import plistlib
filename = "/Applications/Safari.app/Contents/Info.plist"
info = plistlib.readPlist(filename)
info["CFBundleGetInfoString"]
version = info["CFBundleShortVersionString"]
print version
print info["CFBundleURLTypes"]
print info["CFBundleURLTypes"][0]
print info["CFBundleURLTypes"][0]["CFBundleURLSchem... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
64bf82724827db0750f356eef07f3af56df5720b | 668 | py | Python | kpi/unical_accounts/migrations/0008_alter_user_codice_fiscale_alter_user_email.py | UniversitaDellaCalabria/kpiManagement | d045a464298e17f50e005b89ba3b71e53d57f368 | [
"Apache-2.0"
] | null | null | null | kpi/unical_accounts/migrations/0008_alter_user_codice_fiscale_alter_user_email.py | UniversitaDellaCalabria/kpiManagement | d045a464298e17f50e005b89ba3b71e53d57f368 | [
"Apache-2.0"
] | null | null | null | kpi/unical_accounts/migrations/0008_alter_user_codice_fiscale_alter_user_email.py | UniversitaDellaCalabria/kpiManagement | d045a464298e17f50e005b89ba3b71e53d57f368 | [
"Apache-2.0"
] | 1 | 2022-03-28T10:48:38.000Z | 2022-03-28T10:48:38.000Z | # Generated by Django 4.0 on 2022-03-28 09:59
| 25.692308 | 75 | 0.579341 | # Generated by Django 4.0 on 2022-03-28 09:59
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('unical_accounts', '0007_user_created_by'),
]
operations = [
migrations.AlterField(
model_name='user',
name='codice_fis... | 0 | 0 | 0 | 556 | 0 | 0 | 0 | 19 | 46 |
738d2e0e79482160026dbee0a2e0a9bb2f953f8a | 6,255 | py | Python | src/questions/views.py | saadmk11/yourquery | 5bc64f91846908803becb4e0cb6fece417bbe49a | [
"MIT"
] | null | null | null | src/questions/views.py | saadmk11/yourquery | 5bc64f91846908803becb4e0cb6fece417bbe49a | [
"MIT"
] | null | null | null | src/questions/views.py | saadmk11/yourquery | 5bc64f91846908803becb4e0cb6fece417bbe49a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
# Create your views here.
| 32.748691 | 72 | 0.639488 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.contrib.auth.decorators import login_required
from django.contrib import messages
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from django.db.models import Q
from django.http import Http404
from django.shortcuts impo... | 0 | 3,225 | 0 | 0 | 0 | 2,295 | 0 | 228 | 407 |
4e31b05eb0d20a8423ef63d1655c310369f5df37 | 261 | py | Python | wotpy/protocols/http/__init__.py | JKRhb/wot-py | 3eaa780189b686c82b7dbdea404fd8077bd3c9f9 | [
"MIT"
] | 24 | 2019-02-15T09:00:27.000Z | 2021-12-23T05:45:03.000Z | wotpy/protocols/http/__init__.py | JKRhb/wot-py | 3eaa780189b686c82b7dbdea404fd8077bd3c9f9 | [
"MIT"
] | 20 | 2020-03-17T09:41:51.000Z | 2021-07-14T12:29:02.000Z | wotpy/protocols/http/__init__.py | JKRhb/wot-py | 3eaa780189b686c82b7dbdea404fd8077bd3c9f9 | [
"MIT"
] | 5 | 2019-10-10T13:38:20.000Z | 2021-12-22T14:22:26.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
HTTP Protocol Binding implementation.
.. autosummary::
:toctree: _http
wotpy.protocols.http.handlers
wotpy.protocols.http.client
wotpy.protocols.http.enums
wotpy.protocols.http.server
"""
| 17.4 | 37 | 0.681992 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
HTTP Protocol Binding implementation.
.. autosummary::
:toctree: _http
wotpy.protocols.http.handlers
wotpy.protocols.http.client
wotpy.protocols.http.enums
wotpy.protocols.http.server
"""
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d2c0f445720e982d0abf551cb916c5f8646b23fd | 3,588 | py | Python | QCPU_Setup/DWave-library/dist-packages/dwave_networkx2/algorithms/independent_set.py | cogrpar/qcpuWARE | 9b8233e830f8cfacbef787781b2279e42f26fec5 | [
"Apache-2.0"
] | 1 | 2022-02-01T14:40:05.000Z | 2022-02-01T14:40:05.000Z | QCPU_Setup/DWave-library/dist-packages/dwave_networkx2/algorithms/independent_set.py | cogrpar/qcpuWARE | 9b8233e830f8cfacbef787781b2279e42f26fec5 | [
"Apache-2.0"
] | null | null | null | QCPU_Setup/DWave-library/dist-packages/dwave_networkx2/algorithms/independent_set.py | cogrpar/qcpuWARE | 9b8233e830f8cfacbef787781b2279e42f26fec5 | [
"Apache-2.0"
] | 1 | 2022-02-01T14:40:31.000Z | 2022-02-01T14:40:31.000Z |
__all__ = ["maximum_independent_set", "is_independent_set"]
def is_independent_set(G, indep_nodes):
"""Determines whether the given nodes form an independent set.
An independent set is a set of nodes such that the subgraph
of G induced by these nodes contains no edges.
Parameters
----------
... | 33.53271 | 94 | 0.686734 | from dwave_networkx.utils import binary_quadratic_model_sampler
__all__ = ["maximum_independent_set", "is_independent_set"]
@binary_quadratic_model_sampler(1)
def maximum_independent_set(G, sampler=None, **sampler_args):
"""Returns an approximate maximum independent set.
Defines a QUBO with ground states co... | 0 | 2,867 | 0 | 0 | 0 | 0 | 0 | 42 | 45 |
a33ac7c4f39b26557ddcab1ab4337752858138d3 | 2,628 | py | Python | 2016/launcher.py | bartmanus/advent_of_code | 8c5a2d639302c95e49e15d011db2df844bc4e010 | [
"Unlicense"
] | null | null | null | 2016/launcher.py | bartmanus/advent_of_code | 8c5a2d639302c95e49e15d011db2df844bc4e010 | [
"Unlicense"
] | null | null | null | 2016/launcher.py | bartmanus/advent_of_code | 8c5a2d639302c95e49e15d011db2df844bc4e010 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
"""
Launcher for AoC 2016 puzzles.
Handles puzzle selection and puzzle input.
"""
if __name__ == '__main__':
AVAILABLE_PUZZLES = {1: run_taxicab, 2:run_keypad}
print('Welcome to inifinity! Try an available solution to AoC 2016 puzzles in', \
list(AVAILABLE_PUZZLES.keys()), '... | 38.086957 | 94 | 0.603501 | #!/usr/bin/env python3
"""
Launcher for AoC 2016 puzzles.
Handles puzzle selection and puzzle input.
"""
import day_1_no_time_for_a_taxicab as d1
import day_2_bathroom_security as d2
def run_taxicab():
while True:
instructions = input('Instructions in <dir><steps>[, <dir><steps>]* format, please: ')
... | 0 | 0 | 0 | 0 | 0 | 1,596 | 0 | 34 | 91 |
6438cabcc2ee27593e57c71efd247356f05e9634 | 3,980 | py | Python | App.py | tyasvdspree/assignmentNetworking | b61a517c40c449298f173f492c50f24947785944 | [
"MIT"
] | 1 | 2020-10-05T14:54:07.000Z | 2020-10-05T14:54:07.000Z | App.py | tyasvdspree/assignmentNetworking | b61a517c40c449298f173f492c50f24947785944 | [
"MIT"
] | null | null | null | App.py | tyasvdspree/assignmentNetworking | b61a517c40c449298f173f492c50f24947785944 | [
"MIT"
] | 1 | 2020-10-05T15:16:18.000Z | 2020-10-05T15:16:18.000Z | import threading
import socket
# team: PWA
# member: 0870508 Tyas van de Spree
# member: 0966770 Maarten de Goede
# class: DINF2
BYTE_SIZE = 1024
TEAMNAME = "PWA" # programmers with attitude
CLASSNAME = "DINF2"
TEAMMATESTUDENTNR = ''
STUDENTNR = input("Please provide your student number")
if STUDENTNR == "0870508... | 26.711409 | 123 | 0.651759 | from _thread import *
import threading
import socket
import json
# team: PWA
# member: 0870508 Tyas van de Spree
# member: 0966770 Maarten de Goede
# class: DINF2
BYTE_SIZE = 1024
TEAMNAME = "PWA" # programmers with attitude
CLASSNAME = "DINF2"
TEAMMATESTUDENTNR = ''
STUDENTNR = input("Please provide your student... | 0 | 0 | 0 | 828 | 0 | 2,004 | 0 | -10 | 136 |
7a6bc09f03fc1366993dfe34eea65ffbcef063a0 | 1,203 | py | Python | src/astro/dataframe/__init__.py | jlaneve/astro | 4528162c7582f3860d1d21de7af954f20c9f9a6a | [
"Apache-2.0"
] | null | null | null | src/astro/dataframe/__init__.py | jlaneve/astro | 4528162c7582f3860d1d21de7af954f20c9f9a6a | [
"Apache-2.0"
] | null | null | null | src/astro/dataframe/__init__.py | jlaneve/astro | 4528162c7582f3860d1d21de7af954f20c9f9a6a | [
"Apache-2.0"
] | null | null | null | from typing import Callable, Optional
from airflow.decorators.base import task_decorator_factory
from astro.sql.operators.sql_dataframe import SqlDataframeOperator
def dataframe(
python_callable: Optional[Callable] = None,
multiple_outputs: Optional[bool] = None,
conn_id: str = "",
database: Optiona... | 32.513514 | 119 | 0.697423 | from typing import Callable, Optional
from airflow.decorators.base import task_decorator_factory
from astro.sql.operators.sql_dataframe import SqlDataframeOperator
def dataframe(
python_callable: Optional[Callable] = None,
multiple_outputs: Optional[bool] = None,
conn_id: str = "",
database: Optiona... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1dbf4b7b9733bf48989a9616acea576abb284c79 | 421 | py | Python | core/urls.py | AmoleR/otis-web | afcb1f595675bd1478e231b9de2579d02234a076 | [
"MIT"
] | null | null | null | core/urls.py | AmoleR/otis-web | afcb1f595675bd1478e231b9de2579d02234a076 | [
"MIT"
] | null | null | null | core/urls.py | AmoleR/otis-web | afcb1f595675bd1478e231b9de2579d02234a076 | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
urlpatterns = [
path(r'classroom/', views.classroom, name='classroom'),
path(r'synopsis/', views.UnitGroupListView.as_view(), name='synopsis'),
path(r'unit/problems/<int:pk>/', views.unit_problems, name='view-problems'),
path(r'unit/tex/<int:pk>/', views.unit_tex, ... | 35.083333 | 80 | 0.714964 | from django.urls import path
from . import views
urlpatterns = [
path(r'classroom/', views.classroom, name='classroom'),
path(r'synopsis/', views.UnitGroupListView.as_view(), name='synopsis'),
path(r'unit/problems/<int:pk>/', views.unit_problems, name='view-problems'),
path(r'unit/tex/<int:pk>/', views.unit_tex, ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d795ac9c432f6e0f1f8a67d8417295173eebd7aa | 5,901 | py | Python | src/hannoy/index.py | marijnl/AquilaDB | ff837f135715619e1d09e94f94b3d25b12a8c5db | [
"Apache-2.0"
] | 2 | 2020-04-30T19:47:07.000Z | 2020-05-03T16:58:34.000Z | src/hannoy/index.py | marijnl/AquilaDB | ff837f135715619e1d09e94f94b3d25b12a8c5db | [
"Apache-2.0"
] | null | null | null | src/hannoy/index.py | marijnl/AquilaDB | ff837f135715619e1d09e94f94b3d25b12a8c5db | [
"Apache-2.0"
] | null | null | null |
model_location = '/data/model_ha' | 35.335329 | 102 | 0.534147 | import numpy as np
from annoy import AnnoyIndex
import yaml
import os
import threading
import queue
import time
model_location = '/data/model_ha'
class Annoy:
def __init__(self):
# to keep the thread & queue running
self.process_flag = True
self.q_maxsize = 10100
self.process_thre... | 0 | 0 | 0 | 5,731 | 0 | 0 | 0 | -42 | 178 |
4bb8af7cfebda4f5b9abf228a7db10c33ad3ff2e | 52 | py | Python | salt/returners/__init__.py | skrobul/salt | ef7fb71082cce7a9783e00b9c65062fefae09263 | [
"Apache-2.0"
] | 111 | 2015-01-16T02:48:12.000Z | 2022-02-08T10:24:56.000Z | salt/returners/__init__.py | skrobul/salt | ef7fb71082cce7a9783e00b9c65062fefae09263 | [
"Apache-2.0"
] | 60 | 2015-01-06T12:28:44.000Z | 2020-12-01T21:30:38.000Z | salt/returners/__init__.py | skrobul/salt | ef7fb71082cce7a9783e00b9c65062fefae09263 | [
"Apache-2.0"
] | 163 | 2015-01-06T09:40:31.000Z | 2022-02-03T11:41:23.000Z | # -*- coding: utf-8 -*-
'''
Returners Directory
'''
| 10.4 | 23 | 0.538462 | # -*- coding: utf-8 -*-
'''
Returners Directory
'''
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
eddc16387b276719fe8d1b5a9e83d853a078ea81 | 5,702 | py | Python | app.py | a-tanman/vigil-hotline | 21b73e76c2c3de77f9c93cb11ae47295a064dabd | [
"Apache-2.0"
] | null | null | null | app.py | a-tanman/vigil-hotline | 21b73e76c2c3de77f9c93cb11ae47295a064dabd | [
"Apache-2.0"
] | null | null | null | app.py | a-tanman/vigil-hotline | 21b73e76c2c3de77f9c93cb11ae47295a064dabd | [
"Apache-2.0"
] | null | null | null | #----------------------------------------------------------------------------#
# Imports
#----------------------------------------------------------------------------#
from flask import Flask
from datetime import datetime
from flask_cors import CORS
# from flask.ext.sqlalchemy import SQLAlchemy
import logging
from log... | 27.023697 | 98 | 0.590845 | #----------------------------------------------------------------------------#
# Imports
#----------------------------------------------------------------------------#
from flask import Flask, render_template, request, jsonify, redirect, url_for
import random
from datetime import datetime
from flask_cors import CORS
f... | 0 | 2,341 | 0 | 0 | 0 | 502 | 0 | 103 | 430 |
f61d11acc6629c2b63f97227a5134b008acfe309 | 511 | py | Python | sphinx/source/docs/user_guide/examples/interaction_tab_panes.py | kevin1kevin1k/bokeh | 9f34b5b710e2748ec803c12918ec1706098a3477 | [
"BSD-3-Clause"
] | 12 | 2020-07-20T14:58:31.000Z | 2021-09-04T22:15:14.000Z | sphinx/source/docs/user_guide/examples/interaction_tab_panes.py | kevin1kevin1k/bokeh | 9f34b5b710e2748ec803c12918ec1706098a3477 | [
"BSD-3-Clause"
] | 1 | 2020-09-05T02:46:20.000Z | 2020-09-05T02:46:20.000Z | sphinx/source/docs/user_guide/examples/interaction_tab_panes.py | kevin1kevin1k/bokeh | 9f34b5b710e2748ec803c12918ec1706098a3477 | [
"BSD-3-Clause"
] | 3 | 2019-03-27T23:27:05.000Z | 2020-08-05T19:03:19.000Z | from bokeh.models import Panel, Tabs
from bokeh.io import output_file, show
from bokeh.plotting import figure
output_file("slider.html")
p1 = figure(plot_width=300, plot_height=300)
p1.circle([1, 2, 3, 4, 5], [6, 7, 2, 4, 5], size=20, color="navy", alpha=0.5)
tab1 = Panel(child=p1, title="circle")
p2 = figure(plot_w... | 28.388889 | 80 | 0.675147 | from bokeh.models import Panel, Tabs
from bokeh.io import output_file, show
from bokeh.plotting import figure
output_file("slider.html")
p1 = figure(plot_width=300, plot_height=300)
p1.circle([1, 2, 3, 4, 5], [6, 7, 2, 4, 5], size=20, color="navy", alpha=0.5)
tab1 = Panel(child=p1, title="circle")
p2 = figure(plot_w... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a8b1d0d3f419b87fe666dbebbfa8c7d0b7bd9341 | 576 | py | Python | DSA/string/letterCombinations.py | lance-lh/Data-Structures-and-Algorithms | c432654edaeb752536e826e88bcce3ed2ab000fb | [
"MIT"
] | 1 | 2019-03-27T13:00:28.000Z | 2019-03-27T13:00:28.000Z | DSA/string/letterCombinations.py | lance-lh/Data-Structures-and-Algorithms | c432654edaeb752536e826e88bcce3ed2ab000fb | [
"MIT"
] | null | null | null | DSA/string/letterCombinations.py | lance-lh/Data-Structures-and-Algorithms | c432654edaeb752536e826e88bcce3ed2ab000fb | [
"MIT"
] | null | null | null |
# test
digits = "23"
print(Solution().letterCombinations(digits)) | 25.043478 | 100 | 0.447917 | class Solution:
# @return a list of strings, [s1, s2]
def letterCombinations(self, digits):
from functools import reduce
if digits == '':
return []
mapping = {
'2': 'abc',
'3': 'def',
'4': 'ghi',
'5': 'jkl',
'6': 'm... | 0 | 0 | 0 | 488 | 0 | 0 | 0 | 0 | 22 |
3f8c4f5fff8a542b17ea599da32d09636a18443d | 5,767 | py | Python | plastron/pcdm.py | peichman-umd/plastron | 8453b1dc598eaf60e50a4614444a2c713b96190a | [
"Apache-2.0"
] | 3 | 2019-06-12T08:07:52.000Z | 2019-09-13T18:16:30.000Z | plastron/pcdm.py | peichman-umd/plastron | 8453b1dc598eaf60e50a4614444a2c713b96190a | [
"Apache-2.0"
] | 14 | 2018-05-11T15:17:40.000Z | 2022-03-11T23:27:50.000Z | plastron/pcdm.py | peichman-umd/plastron | 8453b1dc598eaf60e50a4614444a2c713b96190a | [
"Apache-2.0"
] | 5 | 2018-04-13T20:58:30.000Z | 2020-03-25T12:59:34.000Z | from plastron.namespaces import pcdm
# alias the rdflib Namespace
ns = pcdm
FILE_CLASS_FOR = {
'.tif': PreservationMasterFile,
'.jpg': IntermediateFile,
'.txt': ExtractedText,
'.xml': ExtractedText,
}
| 31.342391 | 120 | 0.648344 | from plastron import ldp, ore, rdf
from plastron.namespaces import dcterms, dcmitype, ebucore, fabio, pcdm, pcdmuse, premis
from plastron.files import LocalFileSource, RepositoryFileSource
from PIL import Image
# alias the rdflib Namespace
ns = pcdm
@rdf.object_property('members', pcdm.hasMember)
@rdf.object_proper... | 0 | 4,887 | 0 | 0 | 0 | 269 | 0 | 108 | 273 |
923893bcf3fdc9e6ae96e21578684f8468825b24 | 5,591 | py | Python | gpustats/sampler.py | dukestats/gpustats | 570fdeb4d1da204b1e56717ba29db07a08be8629 | [
"BSD-3-Clause"
] | 23 | 2015-02-01T23:46:52.000Z | 2021-01-13T18:07:47.000Z | gpustats/sampler.py | dukestats/gpustats | 570fdeb4d1da204b1e56717ba29db07a08be8629 | [
"BSD-3-Clause"
] | null | null | null | gpustats/sampler.py | dukestats/gpustats | 570fdeb4d1da204b1e56717ba29db07a08be8629 | [
"BSD-3-Clause"
] | 6 | 2015-06-18T10:23:59.000Z | 2020-05-05T22:32:40.000Z | import numpy as np
import gpustats.kernels as kernels
import gpustats.codegen as codegen
import gpustats.util as util
import pycuda.driver as drv
from pycuda.gpuarray import GPUArray, to_gpu
from pycuda.gpuarray import empty as gpu_empty
from pycuda.curandom import rand as curand
# reload(kernels)
# reload(codegen)
... | 27.541872 | 88 | 0.640315 | import numpy as np
import gpustats.kernels as kernels
import gpustats.codegen as codegen
import gpustats.util as util
import pycuda.driver as drv
from pycuda.gpuarray import GPUArray, to_gpu
from pycuda.gpuarray import empty as gpu_empty
from pycuda.curandom import rand as curand
# reload(kernels)
# reload(codegen)
... | 0 | 0 | 0 | 0 | 0 | 192 | 0 | 0 | 27 |
93ddc216aa03e77588852f7a7e577c8e48d8a891 | 5,544 | py | Python | wandb/sdk/data_types/helper_types/classes.py | soumik12345/client | 31e4c2b143e6c219ea005fe4477e294f383f6888 | [
"MIT"
] | null | null | null | wandb/sdk/data_types/helper_types/classes.py | soumik12345/client | 31e4c2b143e6c219ea005fe4477e294f383f6888 | [
"MIT"
] | null | null | null | wandb/sdk/data_types/helper_types/classes.py | soumik12345/client | 31e4c2b143e6c219ea005fe4477e294f383f6888 | [
"MIT"
] | null | null | null | from typing import TYPE_CHECKING
from .. import _dtypes
if TYPE_CHECKING: # pragma: no cover
_dtypes.TypeRegistry.add(_ClassesIdType)
| 34.222222 | 119 | 0.592352 | import os
from typing import Any, Dict, Optional, Sequence, Type, TYPE_CHECKING, Union
from .. import _dtypes
from ..base_types.media import Media
if TYPE_CHECKING: # pragma: no cover
from wandb.apis.public import Artifact as PublicArtifact
from ...wandb_artifacts import Artifact as LocalArtifact
from .... | 0 | 1,019 | 0 | 4,079 | 0 | 0 | 0 | 136 | 169 |
08c4b55684bc43747f4a9875f98c55d0ce244fb7 | 6,018 | py | Python | test/rest/clienttests.py | geoco84/comodit-client | 4cf47e60a6739ed8b88ce8b955ed57375c4d400d | [
"MIT"
] | 1 | 2015-01-20T17:24:34.000Z | 2015-01-20T17:24:34.000Z | test/rest/clienttests.py | geoco84/comodit-client | 4cf47e60a6739ed8b88ce8b955ed57375c4d400d | [
"MIT"
] | null | null | null | test/rest/clienttests.py | geoco84/comodit-client | 4cf47e60a6739ed8b88ce8b955ed57375c4d400d | [
"MIT"
] | 24 | 2016-09-07T15:28:00.000Z | 2021-12-08T16:03:16.000Z | import unittest
if __name__ == '__main__':
unittest.main()
| 29.5 | 113 | 0.623463 | import unittest, json
from comodit_client.rest.client import HttpClient
from comodit_client.rest.exceptions import ApiException
from test.mock.urllib_mocks import RequestWithMethodMock, RequestResult
class ClientTest(unittest.TestCase):
def setUp(self):
self._url = "url"
self._params = ""
... | 0 | 0 | 0 | 5,745 | 0 | 0 | 0 | 118 | 90 |
f4436d2fd8b94b5828d5d0b7ad6611c0470a1208 | 95 | py | Python | terrascript/chef/__init__.py | hugovk/python-terrascript | 08fe185904a70246822f5cfbdc9e64e9769ec494 | [
"BSD-2-Clause"
] | 507 | 2017-07-26T02:58:38.000Z | 2022-01-21T12:35:13.000Z | terrascript/chef/__init__.py | hugovk/python-terrascript | 08fe185904a70246822f5cfbdc9e64e9769ec494 | [
"BSD-2-Clause"
] | 135 | 2017-07-20T12:01:59.000Z | 2021-10-04T22:25:40.000Z | terrascript/chef/__init__.py | hugovk/python-terrascript | 08fe185904a70246822f5cfbdc9e64e9769ec494 | [
"BSD-2-Clause"
] | 81 | 2018-02-20T17:55:28.000Z | 2022-01-31T07:08:40.000Z | # terrascript/chef/__init__.py
| 13.571429 | 33 | 0.778947 | # terrascript/chef/__init__.py
import terrascript
class chef(terrascript.Provider):
pass
| 0 | 0 | 0 | 21 | 0 | 0 | 0 | -3 | 45 |
e2daa8f9b242d23b6e640ea90ef23c05a358f900 | 1,670 | py | Python | pybpodgui_plugin/settings.py | ckarageorgkaneen/pybpod-gui-plugin | ef9ca8a7094b9d225dde8e3db58d94ae084aaac5 | [
"MIT"
] | null | null | null | pybpodgui_plugin/settings.py | ckarageorgkaneen/pybpod-gui-plugin | ef9ca8a7094b9d225dde8e3db58d94ae084aaac5 | [
"MIT"
] | null | null | null | pybpodgui_plugin/settings.py | ckarageorgkaneen/pybpod-gui-plugin | ef9ca8a7094b9d225dde8e3db58d94ae084aaac5 | [
"MIT"
] | 1 | 2021-02-22T21:32:03.000Z | 2021-02-22T21:32:03.000Z | # # !/usr/bin/python3
# # -*- coding: utf-8 -*-
import logging
SETTINGS_PRIORITY = 100
# THESE SETTINGS ARE NEEDED FOR PYSETTINGS
APP_LOG_FILENAME = 'app.log'
APP_LOG_HANDLER_CONSOLE_LEVEL = logging.WARNING
APP_LOG_HANDLER_FILE_LEVEL = logging.WARNING
CONTROL_EVENTS_GRAPH_DEFAULT_SCALE = 100
BOARD_LOG_WINDOW_... | 27.377049 | 102 | 0.782036 | # # !/usr/bin/python3
# # -*- coding: utf-8 -*-
import logging, os
SETTINGS_PRIORITY = 100
# THESE SETTINGS ARE NEEDED FOR PYSETTINGS
APP_LOG_FILENAME = 'app.log'
APP_LOG_HANDLER_CONSOLE_LEVEL = logging.WARNING
APP_LOG_HANDLER_FILE_LEVEL = logging.WARNING
CONTROL_EVENTS_GRAPH_DEFAULT_SCALE = 100
BOARD_LOG_WIN... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 |
51b66a26418cbf9c12132319bfeb2cb5131c8eef | 6,798 | py | Python | pdfmajor/interpreter/commands/state/PDFTextState/PDFFont/fonts.py | asosnovsky/pdfmajor | 7e24c64b5b4fdc84c12b2f78dcaab0e1aa07f4ad | [
"MIT"
] | 23 | 2019-01-13T23:32:24.000Z | 2021-07-08T04:29:15.000Z | pdfmajor/interpreter/commands/state/PDFTextState/PDFFont/fonts.py | asosnovsky/pdfmajor | 7e24c64b5b4fdc84c12b2f78dcaab0e1aa07f4ad | [
"MIT"
] | 3 | 2019-08-09T18:42:01.000Z | 2019-12-13T15:43:24.000Z | pdfmajor/interpreter/commands/state/PDFTextState/PDFFont/fonts.py | asosnovsky/pdfmajor | 7e24c64b5b4fdc84c12b2f78dcaab0e1aa07f4ad | [
"MIT"
] | 2 | 2020-01-09T11:18:20.000Z | 2020-03-24T06:02:30.000Z |
# PDFType1Font
# PDFTrueTypeFont
# PDFType3Font
# PDFCIDFont
| 38.625 | 110 | 0.612533 | from io import BytesIO
from pdfmajor.execptions import FontError, UnicodeNotDefined, CMapNotFound
from pdfmajor.parser.PSStackParser import literal_name
from pdfmajor.parser.PDFStream import int_value
from pdfmajor.parser.PDFStream import num_value
from pdfmajor.parser.PDFStream import list_value
from pdfmajor.parser.... | 0 | 0 | 0 | 5,836 | 0 | 0 | 0 | 452 | 442 |
0d06b0adc2fd7a6757d80b73c268e069d1397b68 | 125 | py | Python | PYTHON/starwars fingers/mixersample.py | arpitarunkumaar/Hacktoberfest2021 | 0af40f90a6c0716caadbbfff44ece947b6146f60 | [
"MIT"
] | 125 | 2021-10-01T19:05:26.000Z | 2021-10-03T13:32:42.000Z | PYTHON/starwars fingers/mixersample.py | arpitarunkumaar/Hacktoberfest2021 | 0af40f90a6c0716caadbbfff44ece947b6146f60 | [
"MIT"
] | 201 | 2021-10-30T20:40:01.000Z | 2022-03-22T17:26:28.000Z | PYTHON/starwars fingers/mixersample.py | arpitarunkumaar/Hacktoberfest2021 | 0af40f90a6c0716caadbbfff44ece947b6146f60 | [
"MIT"
] | 294 | 2021-10-01T18:46:05.000Z | 2021-10-03T14:25:07.000Z | import pygame
soun_obj=pygame.mixer.Sound("Star Wars Main Theme (Full).mp3")
soun_obj.play()
soun_obj.stop() | 25 | 63 | 0.76 | import mixer
import pygame
soun_obj=pygame.mixer.Sound("Star Wars Main Theme (Full).mp3")
soun_obj.play()
soun_obj.stop() | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -9 | 23 |
cf8a9ddef46ebe737e00e9f4684a2b26991ee7b0 | 3,111 | py | Python | mols2grid/utils.py | cbouy/mol2grid | 1f0dc632e2b2b471b924f27a441950fe5209823d | [
"Apache-2.0"
] | 105 | 2021-03-22T16:08:51.000Z | 2022-03-07T15:38:32.000Z | mols2grid/utils.py | cbouy/molgrid | 1f0dc632e2b2b471b924f27a441950fe5209823d | [
"Apache-2.0"
] | 19 | 2021-03-24T13:08:05.000Z | 2022-03-30T20:33:47.000Z | mols2grid/utils.py | cbouy/molgrid | 1f0dc632e2b2b471b924f27a441950fe5209823d | [
"Apache-2.0"
] | 13 | 2021-03-22T19:26:24.000Z | 2022-03-22T06:01:10.000Z | from jinja2 import Environment, FileSystemLoader
from pathlib import Path
from rdkit import Chem
import pandas as pd
env = Environment(loader=FileSystemLoader(Path(__file__).parent / 'templates'),
autoescape=False)
def tooltip_formatter(s, subset, fmt, style, transform):
"""Function to generate... | 34.566667 | 79 | 0.627772 | from functools import wraps
from importlib.util import find_spec
from jinja2 import Environment, FileSystemLoader
from pathlib import Path
from rdkit import Chem
import pandas as pd
env = Environment(loader=FileSystemLoader(Path(__file__).parent / 'templates'),
autoescape=False)
def requires(module... | 0 | 270 | 0 | 0 | 0 | 91 | 0 | 21 | 67 |
5c2b633eae20fd8c195dffb3e55c0d408377fe88 | 41,361 | py | Python | pypy/objspace/std/bytesobject.py | akercheval/espy | f8317d2f01ba726ed4f03cab081176c32ae4cac4 | [
"Apache-2.0",
"OpenSSL"
] | 4 | 2019-02-11T06:58:43.000Z | 2020-03-15T14:12:32.000Z | pypy/objspace/std/bytesobject.py | akercheval/espy | f8317d2f01ba726ed4f03cab081176c32ae4cac4 | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | pypy/objspace/std/bytesobject.py | akercheval/espy | f8317d2f01ba726ed4f03cab081176c32ae4cac4 | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | """The builtin str implementation"""
from pypy.interpreter.gateway import (interp2app, interpindirect2app)
from pypy.interpreter.typedef import TypeDef
from pypy.objspace.std.basestringtype import basestring_typedef
W_BytesObject.EMPTY = W_BytesObject('')
W_BytesObject.typedef = TypeDef(
"pal", basestring_type... | 40.431085 | 80 | 0.677595 | """The builtin str implementation"""
from rpython.rlib import jit
from rpython.rlib.jit import we_are_jitted
from rpython.rlib.objectmodel import (
compute_hash, compute_unique_id, import_from_mixin)
from rpython.rlib.buffer import StringBuffer
from rpython.rlib.rstring import StringBuilder, replace
from pypy.int... | 288 | 7,071 | 0 | 24,408 | 0 | 140 | 0 | 520 | 380 |
078e765fcfe27de2aa9ef67e4be7f01a4827155c | 569 | py | Python | drive-google-deinit.py | scivision/deprecated-google-drive-public | 33dd090a0be381abd1938ca403d91c6bf9db0b1c | [
"MIT"
] | 4 | 2017-03-19T22:58:20.000Z | 2017-12-02T14:25:53.000Z | drive-google-deinit.py | scivision/deprecated-google-drive-public | 33dd090a0be381abd1938ca403d91c6bf9db0b1c | [
"MIT"
] | 1 | 2017-04-13T09:54:29.000Z | 2017-05-11T07:17:11.000Z | drive-google-deinit.py | scivision/deprecated-google-drive-public | 33dd090a0be381abd1938ca403d91c6bf9db0b1c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
recursive search and deinit (disconnection) for drive-google directories
"""
from pathlib import Path
from gdrivepublic import isgdrive
from subprocess import call
from argparse import ArgumentParser
p = ArgumentParser()
p.add_argument('rdir',help='root directory to search for active drive-g... | 24.73913 | 112 | 0.697715 | #!/usr/bin/env python
"""
recursive search and deinit (disconnection) for drive-google directories
"""
from pathlib import Path
from gdrivepublic import isgdrive
from subprocess import call
from argparse import ArgumentParser
p = ArgumentParser()
p.add_argument('rdir',help='root directory to search for active drive-g... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b7ec571afdc19b55f0b9873d557e9ca53ed0a12f | 977 | py | Python | data/generateQuickdrawDataset.py | manas-avi/detection-2016-nipsws | b25669dbf1c5d3d1a79638f928c989aca1c32622 | [
"MIT"
] | null | null | null | data/generateQuickdrawDataset.py | manas-avi/detection-2016-nipsws | b25669dbf1c5d3d1a79638f928c989aca1c32622 | [
"MIT"
] | null | null | null | data/generateQuickdrawDataset.py | manas-avi/detection-2016-nipsws | b25669dbf1c5d3d1a79638f928c989aca1c32622 | [
"MIT"
] | 2 | 2018-12-02T08:39:24.000Z | 2018-12-08T15:55:54.000Z | from numpy import random
import numpy as np
import cv2
import os
import sys
dataset_name = sys.argv[1]
data_dir = './quickdraw/' + dataset_name + '/r128/'
save_dir = './quickdraw/' + dataset_name + '/obj-in-image/'
os.makedirs(save_dir + 'test/' , exist_ok=True)
os.makedirs(save_dir + 'train/' , exist_ok=True)
list_... | 25.051282 | 68 | 0.684749 | from numpy import random
import gc
import numpy as np
import pdb
import cv2
import os
import sys
import matplotlib.pyplot as plt
dataset_name = sys.argv[1]
data_dir = './quickdraw/' + dataset_name + '/r128/'
save_dir = './quickdraw/' + dataset_name + '/obj-in-image/'
os.makedirs(save_dir + 'test/' , exist_ok=True)
os... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -13 | 66 |
8ef7c1aa85b2e0042a2dcefa5ce7a98ed26ddaef | 49,547 | py | Python | pytest_cases/main_fixtures.py | keszybz/python-pytest-cases | 424d35108228716d7ea0276f6a89ef72181dd919 | [
"BSD-3-Clause"
] | null | null | null | pytest_cases/main_fixtures.py | keszybz/python-pytest-cases | 424d35108228716d7ea0276f6a89ef72181dd919 | [
"BSD-3-Clause"
] | null | null | null | pytest_cases/main_fixtures.py | keszybz/python-pytest-cases | 424d35108228716d7ea0276f6a89ef72181dd919 | [
"BSD-3-Clause"
] | null | null | null | # Use true division operator always even in old python 2.x (used in `_get_case_getter_s`)
from __future__ import division
from distutils.version import LooseVersion
from enum import Enum
from inspect import isgeneratorfunction, getmodule, currentframe
from itertools import product
from warnings import warn
from decop... | 41.882502 | 125 | 0.653844 | # Use true division operator always even in old python 2.x (used in `_get_case_getter_s`)
from __future__ import division
from distutils.version import LooseVersion
from enum import Enum
from inspect import isgeneratorfunction, getmodule, currentframe
from itertools import product
from warnings import warn
from decop... | 0 | 15,532 | 0 | 1,833 | 2,541 | 2,153 | 0 | 12 | 616 |
da8d8071d750b685956d79ac77bbc0a8b708951e | 5,257 | py | Python | nb/toxin.py | pgniewko/deep-toxin | fa61b06405749e5de7d74eedadb5de7c67981471 | [
"BSD-3-Clause"
] | 1 | 2020-08-20T07:49:10.000Z | 2020-08-20T07:49:10.000Z | nb/toxin.py | pgniewko/deep-toxin | fa61b06405749e5de7d74eedadb5de7c67981471 | [
"BSD-3-Clause"
] | null | null | null | nb/toxin.py | pgniewko/deep-toxin | fa61b06405749e5de7d74eedadb5de7c67981471 | [
"BSD-3-Clause"
] | null | null | null |
AA_MODIFICATIONS = {
"Benzoylphenylalanine": "F",
"C-term amidation": "",
"Sulfotyrosine": "Y",
"4-Hydroxyproline": "P",
"Pyroglutamic acid": "E",
"Gamma carboxylic glutamic acid": "E",
"Any": "G",
"D-leucine": "L",
"D-phenylalanine": "F",
"D-methionine": "M",
"D-tryptophan"... | 27.814815 | 141 | 0.561917 | from pydpi.pypro import PyPro
import logging
AA_MODIFICATIONS = {
"Benzoylphenylalanine": "F",
"C-term amidation": "",
"Sulfotyrosine": "Y",
"4-Hydroxyproline": "P",
"Pyroglutamic acid": "E",
"Gamma carboxylic glutamic acid": "E",
"Any": "G",
"D-leucine": "L",
"D-phenylalanine": "F"... | 0 | 0 | 0 | 3,512 | 0 | 0 | 0 | 1 | 67 |
c068615ba5c8b41d1a83e195bf09fa87e4327bd6 | 247 | py | Python | exercicios/ex029.py | RaquelBotelhoof/Python-curso-em-video | 919b2f44e85647c096c6b734c991635f1bfd1af9 | [
"MIT"
] | null | null | null | exercicios/ex029.py | RaquelBotelhoof/Python-curso-em-video | 919b2f44e85647c096c6b734c991635f1bfd1af9 | [
"MIT"
] | null | null | null | exercicios/ex029.py | RaquelBotelhoof/Python-curso-em-video | 919b2f44e85647c096c6b734c991635f1bfd1af9 | [
"MIT"
] | null | null | null | v = int(input('Digite a velocidade do carro: '))
if v<=80:
print('Dirija com segurana. Boa viagem.')
else:
print('Voc foi multado por exeder o limite de 80km/h.')
m = (v - 80) * 7
print('A multa vai custar {:.2f} reais'.format(m)) | 35.285714 | 60 | 0.62753 | v = int(input('Digite a velocidade do carro: '))
if v<=80:
print('Dirija com segurança. Boa viagem.')
else:
print('Você foi multado por exeder o limite de 80km/h.')
m = (v - 80) * 7
print('A multa vai custar {:.2f} reais'.format(m)) | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
215499b87f796abd452312b91b2724408513c326 | 4,893 | py | Python | rhea/system/stream/fifobus.py | mngr0/rhea | 9ad8d193f7f78f1d192af438568d45fb5a398c8c | [
"MIT"
] | null | null | null | rhea/system/stream/fifobus.py | mngr0/rhea | 9ad8d193f7f78f1d192af438568d45fb5a398c8c | [
"MIT"
] | null | null | null | rhea/system/stream/fifobus.py | mngr0/rhea | 9ad8d193f7f78f1d192af438568d45fb5a398c8c | [
"MIT"
] | null | null | null | #
# Copyright (c) 2013-2015 Christopher L. Felton
# See the licence file in the top directory
#
_fb_num = 0
_fb_list = {}
def _add_bus(fb, name=''):
""" globally keep track of all the buses added.
"""
global _fb_num, _fb_list
_fb_num += 1
_fb_list[name] = fb
| 35.201439 | 74 | 0.600245 | #
# Copyright (c) 2013-2015 Christopher L. Felton
# See the licence file in the top directory
#
import myhdl
from myhdl import Signal, intbv, always_comb
from ..clock import Clock
from .streamers import Streamers
_fb_num = 0
_fb_list = {}
def _add_bus(fb, name=''):
""" globally keep track of all the buses added... | 0 | 1,578 | 0 | 2,891 | 0 | 0 | 0 | 29 | 112 |
9d2f8b6243abe41aff1ec1f3cbc03b7f2abd38ac | 3,215 | py | Python | code/plot_likelihood_parameters.py | matfontaine/alpha_SpatialNMF | d4d64e187af3a808a4c0e380f704b1d9d7afdeaa | [
"CC0-1.0"
] | null | null | null | code/plot_likelihood_parameters.py | matfontaine/alpha_SpatialNMF | d4d64e187af3a808a4c0e380f704b1d9d7afdeaa | [
"CC0-1.0"
] | null | null | null | code/plot_likelihood_parameters.py | matfontaine/alpha_SpatialNMF | d4d64e187af3a808a4c0e380f704b1d9d7afdeaa | [
"CC0-1.0"
] | null | null | null | import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import pickle as pic
import os
import numpy as np
import math as math
HYP = 1.4
BETA = 0.0
it = 500
S = 2
M = 2
K = 32
init = "circ"
EST_DIR_A = "/home/mafontai/Documents/project/git_project/speech_separation/alpha_SpatialMNMF/results_2anechoic/dev... | 39.691358 | 172 | 0.691135 | import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import pickle as pic
import sys, os
import numpy as np
import math as math
HYP = 1.4
BETA = 0.0
it = 500
S = 2
M = 2
K = 32
init = "circ"
EST_DIR_A = "/home/mafontai/Documents/project/git_project/speech_separation/alpha_SpatialMNMF/results_2anechoi... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 |
69073497cb0a3bfc6f2b0ab40c3ed6ca440904e9 | 8,528 | py | Python | tests/parts/test_fields.py | peterandluc/PyHDB | 826539d06b8bcef74fe755e7489b8a8255628f12 | [
"Apache-2.0"
] | 332 | 2015-01-03T21:50:28.000Z | 2021-04-28T08:37:18.000Z | tests/parts/test_fields.py | peterandluc/PyHDB | 826539d06b8bcef74fe755e7489b8a8255628f12 | [
"Apache-2.0"
] | 132 | 2015-01-12T10:26:09.000Z | 2021-05-04T17:46:34.000Z | tests/parts/test_fields.py | peterandluc/PyHDB | 826539d06b8bcef74fe755e7489b8a8255628f12 | [
"Apache-2.0"
] | 147 | 2015-01-10T16:25:29.000Z | 2021-04-08T08:02:20.000Z | # Copyright 2014, 2015 SAP SE.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http: //www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
#... | 60.48227 | 77 | 0.681168 | # Copyright 2014, 2015 SAP SE.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http: //www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
#... | 0 | 0 | 0 | 0 | 0 | 7,794 | 0 | 19 | 137 |
cc3165670824b1fcde6ca5d3c946a9eaf5909394 | 132 | py | Python | desafio03.py | TrojanYT/TrojanPython | d64b9b6c1889e4fb637a7dacf850f7e159dd92aa | [
"MIT"
] | null | null | null | desafio03.py | TrojanYT/TrojanPython | d64b9b6c1889e4fb637a7dacf850f7e159dd92aa | [
"MIT"
] | null | null | null | desafio03.py | TrojanYT/TrojanPython | d64b9b6c1889e4fb637a7dacf850f7e159dd92aa | [
"MIT"
] | null | null | null | n1 = input('Digite o primeiro nmero? ')
n2 = input('Digite o segundo nmero? ')
soma = int(n1) + int(n2)
print('A soma : ', soma)
| 26.4 | 40 | 0.636364 | n1 = input('Digite o primeiro número? ')
n2 = input('Digite o segundo número? ')
soma = int(n1) + int(n2)
print('A soma é: ', soma)
| 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4c4628ff35b366104fe2e07d36da43520634355b | 11,938 | py | Python | models/hourglass_relu/hg_blocks.py | dp-isi/VaryingSkinTone | 2e595c1d668a8424d86b76dae1fef4b607c26fc8 | [
"MIT"
] | null | null | null | models/hourglass_relu/hg_blocks.py | dp-isi/VaryingSkinTone | 2e595c1d668a8424d86b76dae1fef4b607c26fc8 | [
"MIT"
] | null | null | null | models/hourglass_relu/hg_blocks.py | dp-isi/VaryingSkinTone | 2e595c1d668a8424d86b76dae1fef4b607c26fc8 | [
"MIT"
] | null | null | null | # from keras_lr_multiplier import LRMultiplier
'''
code source:
https://github.com/yuanyuanli85/Stacked_Hourglass_Network_Keras
'''
import os
# os.system('export CUDA_VISIBLE_DEVICES=1')
os.environ['CUDA_VISIBLE_DEVICES']='1'
# inres=(256,256)
# num_channels=3
# bottleneck=bottleneck_mobile
def connect_left_to... | 40.467797 | 145 | 0.667951 | from keras.models import *
from keras.layers import *
from keras.optimizers import Adam, RMSprop
from keras.losses import mean_squared_error
import keras.backend as K
# from keras_lr_multiplier import LRMultiplier
'''
code source:
https://github.com/yuanyuanli85/Stacked_Hourglass_Network_Keras
'''
import os
# os.syst... | 0 | 0 | 0 | 0 | 0 | 9,208 | 0 | 57 | 339 |
1688966a6e7972cf565faa45fe80c6782bde8c46 | 469 | py | Python | project_euler_5.py | andrazm123/Project-Euler | 260a46810bce73e1079c13518ae94732c8cb1acb | [
"MIT"
] | null | null | null | project_euler_5.py | andrazm123/Project-Euler | 260a46810bce73e1079c13518ae94732c8cb1acb | [
"MIT"
] | null | null | null | project_euler_5.py | andrazm123/Project-Euler | 260a46810bce73e1079c13518ae94732c8cb1acb | [
"MIT"
] | null | null | null | def gcd(a, b):
'''Najvecji skupni veckratnik'''
if b == 0:
return a
else:
return gcd(b, a % b)
def lcm(a, b):
'''Najmanjsi skupni delitelj'''
return int((a * b) / gcd(a, b))
def stevilo_deljivo_prvimi_stevili(n):
'''Vrne najmanjso stevilo deljivo s prvimi n naravnimi stevili'''... | 21.318182 | 69 | 0.607676 | def gcd(a, b):
'''Najvecji skupni veckratnik'''
if b == 0:
return a
else:
return gcd(b, a % b)
def lcm(a, b):
'''Najmanjsi skupni delitelj'''
return int((a * b) / gcd(a, b))
def stevilo_deljivo_prvimi_stevili(n):
'''Vrne najmanjso stevilo deljivo s prvimi n naravnimi stevili'''... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ef1cc60922f5404a124cd5c3f0ddb5a1c2b477e4 | 6,730 | py | Python | GameEvents.py | justinbeetle/pyDragonWarrior | cfaf57161ab4950da537de9937d688bc7d24bf4a | [
"MIT"
] | 3 | 2021-04-07T14:43:20.000Z | 2021-04-17T21:26:08.000Z | GameEvents.py | justinbeetle/pyDragonWarrior | cfaf57161ab4950da537de9937d688bc7d24bf4a | [
"MIT"
] | 1 | 2022-01-02T15:52:23.000Z | 2022-01-12T01:51:50.000Z | GameEvents.py | justinbeetle/pyDragonWarrior | cfaf57161ab4950da537de9937d688bc7d24bf4a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
joysticks = []
if __name__ == '__main__':
try:
main()
except Exception as e:
import sys
import traceback
print(traceback.format_exception(None, # <- type(e) by docs, but ignored
e,
... | 41.036585 | 118 | 0.625854 | #!/usr/bin/env python
from typing import List, Optional, Tuple
import pygame
joysticks = []
def setup_joystick() -> bool:
print('pygame.joystick.get_count() =', pygame.joystick.get_count(), flush=True)
for joystickId in range(pygame.joystick.get_count()):
joystick = pygame.joystick.Joystick(joystic... | 0 | 0 | 0 | 0 | 0 | 6,110 | 0 | 11 | 184 |
1a359f8c4679c96bac746dc20017997049f8367c | 1,699 | py | Python | data/emoji2vec/visualize.py | mitchelljeff/SUMMAD4.3 | 33bb3a74cff16a7aa699660a08d98ddcd662cad5 | [
"MIT"
] | 1 | 2017-09-15T14:06:07.000Z | 2017-09-15T14:06:07.000Z | data/emoji2vec/visualize.py | mitchelljeff/SUMMAD4.3 | 33bb3a74cff16a7aa699660a08d98ddcd662cad5 | [
"MIT"
] | null | null | null | data/emoji2vec/visualize.py | mitchelljeff/SUMMAD4.3 | 33bb3a74cff16a7aa699660a08d98ddcd662cad5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import tensorflow as tf
from tensorflow.contrib.tensorboard.plugins import projector
import os
import numpy as np
dir = "./jtr/data/emoji2vec/"
emojis = []
vecs = []
with open(dir + "metadata.tsv", "w") as f_out:
# f_out.write("emoji\n")
with open(dir + "emoji2vec.txt", "r") as f_in:
... | 32.673077 | 85 | 0.660388 | # -*- coding: utf-8 -*-
import tensorflow as tf
from tensorflow.contrib.tensorboard.plugins import projector
import os
import numpy as np
dir = "./jtr/data/emoji2vec/"
emojis = []
vecs = []
with open(dir + "metadata.tsv", "w") as f_out:
# f_out.write("emoji\n")
with open(dir + "emoji2vec.txt", "r") as f_in:
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2d8709b2618ae2bd21be1ef05a498b81db9df3ac | 308 | py | Python | RecoTracker/GeometryESProducer/python/TrackerMTDRecoGeometryESProducer_cfi.py | Purva-Chaudhari/cmssw | 32e5cbfe54c4d809d60022586cf200b7c3020bcf | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | RecoTracker/GeometryESProducer/python/TrackerMTDRecoGeometryESProducer_cfi.py | Purva-Chaudhari/cmssw | 32e5cbfe54c4d809d60022586cf200b7c3020bcf | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | RecoTracker/GeometryESProducer/python/TrackerMTDRecoGeometryESProducer_cfi.py | Purva-Chaudhari/cmssw | 32e5cbfe54c4d809d60022586cf200b7c3020bcf | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import FWCore.ParameterSet.Config as cms
TrackerRecoGeometryESProducer = cms.ESProducer("TrackerMTDRecoGeometryESProducer",
usePhase2Stacks = cms.bool(False)
)
from Configuration.ProcessModifiers.vectorHits_cff import vectorHits
vectorHits.toModify(TrackerRecoGeometryESProducer, usePhase2Stacks = True)
| 34.222222 | 82 | 0.86039 | import FWCore.ParameterSet.Config as cms
TrackerRecoGeometryESProducer = cms.ESProducer("TrackerMTDRecoGeometryESProducer",
usePhase2Stacks = cms.bool(False)
)
from Configuration.ProcessModifiers.vectorHits_cff import vectorHits
vectorHits.toModify(TrackerRecoGeometryESProducer, usePhase2Stacks = True)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
38a11636d3f125019cc9e573d3dc9f0b6ef5e60d | 1,114 | py | Python | Aves2/job_manager/aves2_schemas/data_schema.py | jd-aig/aves2 | 10aeb832feb94adf563f9795013c77bfd115b44e | [
"Apache-2.0"
] | 3 | 2020-09-24T01:36:02.000Z | 2022-03-28T11:53:54.000Z | Aves2/job_manager/aves2_schemas/data_schema.py | jd-aig/aves2 | 10aeb832feb94adf563f9795013c77bfd115b44e | [
"Apache-2.0"
] | null | null | null | Aves2/job_manager/aves2_schemas/data_schema.py | jd-aig/aves2 | 10aeb832feb94adf563f9795013c77bfd115b44e | [
"Apache-2.0"
] | 1 | 2020-12-08T05:14:23.000Z | 2020-12-08T05:14:23.000Z | data_schema = {
"definitions": {},
"$schema": "http://json-schema.org/draft-07/schema#",
"$id": "http://example.com/root.json",
"type": "object",
"title": "The Root Schema",
"required": [
"type",
"pvc",
"path",
"filename"
],
"properties": {
"type": {
"$id": "#/properties/type",... | 19.892857 | 55 | 0.409336 | data_schema = {
"definitions": {},
"$schema": "http://json-schema.org/draft-07/schema#",
"$id": "http://example.com/root.json",
"type": "object",
"title": "The Root Schema",
"required": [
"type",
"pvc",
"path",
"filename"
],
"properties": {
"type": {
"$id": "#/properties/type",... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
223c2cc1668c0e1fd8c5eb1b2306bcd64971a335 | 32,181 | py | Python | nullomers_assessor.py | vpennetti/nullomers-assessor | 352de001f865efeb7ad37a1a51533a5a9f963682 | [
"Apache-2.0"
] | 3 | 2021-03-23T07:29:00.000Z | 2021-12-02T21:36:35.000Z | nullomers_assessor.py | vpennetti/nullomers-assessor | 352de001f865efeb7ad37a1a51533a5a9f963682 | [
"Apache-2.0"
] | null | null | null | nullomers_assessor.py | vpennetti/nullomers-assessor | 352de001f865efeb7ad37a1a51533a5a9f963682 | [
"Apache-2.0"
] | 1 | 2022-02-03T16:11:08.000Z | 2022-02-03T16:11:08.000Z | import sys
import math
import numpy as np
from statsmodels.compat.python import range
from Bio import SeqIO
from Bio.SeqUtils.ProtParam import ProteinAnalysis
from itertools import product
from time import process_time
########## main function ################################################################... | 59.15625 | 291 | 0.650726 | import sys
import Bio
import statsmodels
import math
import numpy as np
import pandas as pd
from statsmodels.compat.python import range
from statsmodels.compat.collections import OrderedDict
from Bio import SeqIO
from Bio.Seq import Seq
from Bio.SeqUtils.ProtParam import ProteinAnalysis
from collections impo... | 0 | 0 | 0 | 0 | 0 | 1,569 | 0 | 79 | 238 |
0e73708eef7cd9ff9448de35b947d3c6d63f0ce7 | 9,968 | py | Python | torch_models/models/seq_encoders.py | Ryou0634/pytorch_models | cd48f9b3797839df5dbf4e51bed81de44e7b962e | [
"BSD-3-Clause"
] | null | null | null | torch_models/models/seq_encoders.py | Ryou0634/pytorch_models | cd48f9b3797839df5dbf4e51bed81de44e7b962e | [
"BSD-3-Clause"
] | null | null | null | torch_models/models/seq_encoders.py | Ryou0634/pytorch_models | cd48f9b3797839df5dbf4e51bed81de44e7b962e | [
"BSD-3-Clause"
] | null | null | null | import torch.nn as nn
| 45.104072 | 133 | 0.652087 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
class SeqEncoderBase(nn.Module):
'''
Sequence encoder takes sequences as input, transform them into embeddings,
and then outputs encoded fixed-size representation.
... | 0 | 0 | 0 | 9,688 | 0 | 0 | 0 | 52 | 204 |
0aa4c846dd24707f46527bf0c43bdc971d716dd5 | 6,693 | py | Python | experiments/vitchyr/icra2018/train_separate_policies.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | 1 | 2020-10-23T14:40:09.000Z | 2020-10-23T14:40:09.000Z | experiments/vitchyr/icra2018/train_separate_policies.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | experiments/vitchyr/icra2018/train_separate_policies.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | 1 | 2021-05-27T20:38:45.000Z | 2021-05-27T20:38:45.000Z | import random
from rlkit.envs.mujoco.pusher_avoider_3dof import PusherAvoiderEnv3DOF
from rlkit.launchers.launcher_util import run_experiment
import rlkit.misc.hyperparameter as hyp
from rlkit.torch.naf import NAF
if __name__ == '__main__':
num_configurations = 1 # for random mode
n_seeds = 1
mode = "he... | 31.570755 | 76 | 0.511729 | import random
import numpy as np
from rlkit.envs.mujoco.pusher3dof import PusherEnv3DOF
from rlkit.envs.mujoco.pusher_avoider_3dof import PusherAvoiderEnv3DOF
from rlkit.exploration_strategies.ou_strategy import OUStrategy
from rlkit.launchers.launcher_util import run_experiment
from rlkit.torch.networks import FeedFo... | 0 | 0 | 0 | 0 | 0 | 1,486 | 0 | 189 | 179 |
5e5c6b74133371a4d1f0b9e965d2da016f8cbdbe | 180 | py | Python | ctpbee/interface/ctp/__init__.py | Faithforus/ctpbee | 18cd81aa9218803ba649cde7389a1f249f4a24db | [
"MIT"
] | null | null | null | ctpbee/interface/ctp/__init__.py | Faithforus/ctpbee | 18cd81aa9218803ba649cde7389a1f249f4a24db | [
"MIT"
] | null | null | null | ctpbee/interface/ctp/__init__.py | Faithforus/ctpbee | 18cd81aa9218803ba649cde7389a1f249f4a24db | [
"MIT"
] | null | null | null | from .md_api import BeeMdApi
from .md_api import BeeMdApiApp
from .td_api import BeeTdApi
from .td_api import BeeTdApiApp
__all__ = [BeeMdApiApp, BeeMdApi, BeeTdApi, BeeTdApiApp]
| 25.714286 | 56 | 0.816667 | from .md_api import BeeMdApi
from .md_api import BeeMdApiApp
from .td_api import BeeTdApi
from .td_api import BeeTdApiApp
__all__ = [BeeMdApiApp, BeeMdApi, BeeTdApi, BeeTdApiApp]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3b6757229fa4e0ec61c4e05d1d0337ce1546f654 | 2,904 | py | Python | weibospider/pipelines.py | keyboardpianist/weiboSpider | e4ccaad4ee0e4dce31a18f6ddf16fba75d955aba | [
"MIT"
] | null | null | null | weibospider/pipelines.py | keyboardpianist/weiboSpider | e4ccaad4ee0e4dce31a18f6ddf16fba75d955aba | [
"MIT"
] | null | null | null | weibospider/pipelines.py | keyboardpianist/weiboSpider | e4ccaad4ee0e4dce31a18f6ddf16fba75d955aba | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# twisted: ()cursor.execute() | 31.565217 | 68 | 0.607094 | # -*- coding: utf-8 -*-
import pymongo
from pymongo.errors import DuplicateKeyError
from settings import MONGO_HOST, MONGO_PORT
import pymysql
# twisted: 用于异步写入(包含数据库)的框架，cursor.execute()是同步写入
from twisted.enterprise import adbapi
class MongoDBPipeline(object):
def __init__(self):
client = pymongo.MongoCli... | 708 | 761 | 0 | 1,651 | 0 | 0 | 0 | 47 | 156 |
0f2d10bfbdf173a3b75f3bacad2078c1e1729a98 | 24,301 | py | Python | tlh/data/constraints.py | notyourav/the-little-hat | f52b38b18b762e704b36cef06c07656348ea6995 | [
"MIT"
] | null | null | null | tlh/data/constraints.py | notyourav/the-little-hat | f52b38b18b762e704b36cef06c07656348ea6995 | [
"MIT"
] | null | null | null | tlh/data/constraints.py | notyourav/the-little-hat | f52b38b18b762e704b36cef06c07656348ea6995 | [
"MIT"
] | 2 | 2021-10-05T20:40:12.000Z | 2022-01-05T00:17:36.000Z |
"""
New idea:
insert constraints one at a time as they come in and only move all existing relations accordingly
- calculate the current virtual addresses for both sides of the constraint
- take the lesser one and at a relation to place it at the higher one
TODO what other relations need to be affected?
- la... | 45.592871 | 212 | 0.611127 | from tlh.const import RomVariant
from dataclasses import dataclass
from sortedcontainers import SortedKeyList
from bisect import bisect_left, bisect_right
from intervaltree import Interval, IntervalTree
@dataclass
class Constraint:
"""
A constraint defines that two local addresses of different rom variants sho... | 0 | 631 | 0 | 22,699 | 0 | 22 | 0 | 93 | 340 |
63f1240754200fb3db6c8ba0af5ce8147b8df1e0 | 4,001 | py | Python | comparison/scikit_optimize/skopt_synthetic.py | zhanglei1172/XBBO | 9bf9b778b29735f108457d5e491680785212d580 | [
"MIT"
] | 2 | 2021-09-06T02:06:22.000Z | 2021-12-09T10:46:56.000Z | comparison/scikit_optimize/skopt_synthetic.py | zhanglei1172/XBBO | 9bf9b778b29735f108457d5e491680785212d580 | [
"MIT"
] | null | null | null | comparison/scikit_optimize/skopt_synthetic.py | zhanglei1172/XBBO | 9bf9b778b29735f108457d5e491680785212d580 | [
"MIT"
] | null | null | null | import numpy as np
from skopt import gp_minimize
from skopt import forest_minimize
from skopt import gbrt_minimize
from skopt import dummy_minimize
if __name__ == "__main__":
repeat_num = 10
max_call = 200
optimizers = [("gp_minimize", gp_minimize),
("forest_minimize", forest_minimize),... | 38.471154 | 98 | 0.535116 | import numpy as np
import argparse
from skopt.benchmarks import branin
from skopt import gp_minimize
from skopt import forest_minimize
from skopt import gbrt_minimize
from skopt import dummy_minimize
def run(n_calls, n_runs, optimizers, acq_optimizer="lbfgs"):
bounds = [(-5.0, 10.0), (0.0, 15.0)]
results = ... | 0 | 0 | 0 | 0 | 0 | 2,129 | 0 | 8 | 68 |
123407deed2006aaea02f0978e86eba377859f9f | 1,048 | py | Python | src/01/1.1.3_affine_cipher.py | fujiawei-dev/cryptography-note | 5f4fe1d9139e6b68e4307dce66d3881b184368bd | [
"MIT"
] | 1 | 2022-01-31T03:30:33.000Z | 2022-01-31T03:30:33.000Z | src/01/1.1.3_affine_cipher.py | fujiawei-dev/cryptography-notes | 5f4fe1d9139e6b68e4307dce66d3881b184368bd | [
"MIT"
] | null | null | null | src/01/1.1.3_affine_cipher.py | fujiawei-dev/cryptography-notes | 5f4fe1d9139e6b68e4307dce66d3881b184368bd | [
"MIT"
] | null | null | null | '''
Date: 2022.01.26 15:01:37
Description:
LastEditors: Rustle Karl
LastEditTime: 2022.01.26 15:27:13
'''
def get_multiplicative_inverse(a):
''''''
return {
1: 1,
3: 9, 9: 3,
5: 21, 21: 5,
7: 15, 15: 7,
11: 19, 19: 11,
17: 23, 23: 17,
25: 25
}[a]
... | 18.385965 | 60 | 0.53626 | '''
Date: 2022.01.26 15:01:37
Description: 仿射密码
LastEditors: Rustle Karl
LastEditTime: 2022.01.26 15:27:13
'''
from math import gcd
def get_multiplicative_inverse(a):
'''求乘法逆，这里只是简单列举'''
return {
1: 1,
3: 9, 9: 3,
5: 21, 21: 5,
7: 15, 15: 7,
11: 19, 19: 11,
17:... | 93 | 0 | 0 | 0 | 0 | 494 | 0 | -1 | 115 |
198033a9e06ba521eb44e04eebe28e277a882980 | 1,853 | py | Python | deliver/send.py | sirech/deliver | 0ddb47d9b7c7a4bddfcf92e4bd683803c95efd3a | [
"MIT"
] | 3 | 2017-06-07T21:48:20.000Z | 2020-06-15T16:27:43.000Z | deliver/send.py | sirech/deliver | 0ddb47d9b7c7a4bddfcf92e4bd683803c95efd3a | [
"MIT"
] | null | null | null | deliver/send.py | sirech/deliver | 0ddb47d9b7c7a4bddfcf92e4bd683803c95efd3a | [
"MIT"
] | null | null | null |
import logging
logger = logging.getLogger(__name__)
| 34.962264 | 95 | 0.639504 | import smtplib
from converter.simple import UnicodeMessage
import logging
logger = logging.getLogger(__name__)
class Sender:
'''
Class that is responsible of sending emails. It uses a specified SMTP server.
'''
def __init__(self, config):
self._cfg = config
def send(self, msg, *recipien... | 0 | 0 | 0 | 1,717 | 0 | 0 | 0 | 15 | 68 |
53d7106d7c33b79a64f1f311fcf25ed2d46352f6 | 353 | py | Python | models/authenticate.py | DamirZaripov16/test_ui-project | 45dfc7ce84c40ecff68405bf1a39e8487cfec421 | [
"Apache-2.0"
] | null | null | null | models/authenticate.py | DamirZaripov16/test_ui-project | 45dfc7ce84c40ecff68405bf1a39e8487cfec421 | [
"Apache-2.0"
] | null | null | null | models/authenticate.py | DamirZaripov16/test_ui-project | 45dfc7ce84c40ecff68405bf1a39e8487cfec421 | [
"Apache-2.0"
] | null | null | null | from faker import Faker
fake = Faker("Ru-ru")
| 22.0625 | 53 | 0.660057 | from faker import Faker
fake = Faker("Ru-ru")
class AuthenticationData:
def __init__(self, username=None, password=None):
self.username = username
self.password = password
@staticmethod
def random():
username = fake.email()
password = fake.password()
return Authen... | 0 | 131 | 0 | 151 | 0 | 0 | 0 | 0 | 23 |
0b0963e3eb7fa01e3e078eec3daa95d6180ad53b | 570,120 | py | Python | Python Codes/Webscrapper/BeautifulSoup Webscrapper.py | ryukeno/Onepark-ParkingProject | cc09e2dc41024776e0c24921fb0ce94eefb61d98 | [
"MIT"
] | 2 | 2020-06-12T03:34:31.000Z | 2020-11-04T11:23:10.000Z | Python Codes/Webscrapper/BeautifulSoup Webscrapper.py | ryukeno/Onepark-DataProject | cc09e2dc41024776e0c24921fb0ce94eefb61d98 | [
"MIT"
] | null | null | null | Python Codes/Webscrapper/BeautifulSoup Webscrapper.py | ryukeno/Onepark-DataProject | cc09e2dc41024776e0c24921fb0ce94eefb61d98 | [
"MIT"
] | null | null | null | import pandas as pd
import sys
import time
url_list = ["https://www.google.com/search?q=Thomas+Muntzer+Strasse+122+parking+Gamstadt",
"https://www.google.com/search?q=Bierweg+2+parking+Schkeuditz",
"https://www.google.com/search?q=Terminalring+3+parking+Schkeuditz",
"https://www.google.com/search?q=Kohlmeisenweg+3+par... | 67.151943 | 133 | 0.766698 | from urllib.request import Request, urlopen
import urllib
import requests
import pandas as pd
from xlwt import Workbook
from bs4 import BeautifulSoup
import sys
import time
import random
url_list = ["https://www.google.com/search?q=Thomas+Muntzer+Strasse+122+parking+Gamstadt",
"https://www.google.com/search?q=Bierweg+... | 0 | 0 | 0 | 0 | 246 | 335 | 0 | 12 | 223 |
da884f5ead10b94e4d9a92da7b24ea0d8fd2c498 | 58 | py | Python | moodle/mod/data/__init__.py | Hardikris/moodlepy | 8f5cb0cb4c2297e10f48396de681f6bb250f7751 | [
"MIT"
] | null | null | null | moodle/mod/data/__init__.py | Hardikris/moodlepy | 8f5cb0cb4c2297e10f48396de681f6bb250f7751 | [
"MIT"
] | null | null | null | moodle/mod/data/__init__.py | Hardikris/moodlepy | 8f5cb0cb4c2297e10f48396de681f6bb250f7751 | [
"MIT"
] | null | null | null | from .base import BaseData
__all__ = [
"BaseData",
]
| 9.666667 | 26 | 0.637931 | from .base import BaseData
__all__ = [
"BaseData",
]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5cfd293577337dc1790faa870bc3e821cc967e76 | 2,751 | py | Python | hospitals/views.py | Lifespark-Technologies/Infomed | 25a20788b4f9314360e4e1c1d8592597e9e0587c | [
"MIT"
] | 2 | 2020-05-18T12:15:27.000Z | 2020-06-16T12:26:23.000Z | hospitals/views.py | Lifespark-Technologies/Infomed | 25a20788b4f9314360e4e1c1d8592597e9e0587c | [
"MIT"
] | 76 | 2020-04-29T07:00:39.000Z | 2021-06-10T19:14:11.000Z | hospitals/views.py | Lifespark-Technologies/Infomed | 25a20788b4f9314360e4e1c1d8592597e9e0587c | [
"MIT"
] | 2 | 2020-05-07T19:25:06.000Z | 2020-06-05T14:30:29.000Z |
# Create your views here.
| 37.684932 | 118 | 0.677208 | from django.shortcuts import render
from isodate import parse_duration
from rest_framework import viewsets
from rest_framework.decorators import action
from rest_framework.response import Response
from rest_framework_extensions.mixins import NestedViewSetMixin
from .models import Hospital, AppointmentSlot
from .seriali... | 0 | 268 | 0 | 1,995 | 0 | 0 | 0 | 193 | 266 |
2a448b798c76e008bc6f72e7e626401e5a351245 | 5,205 | py | Python | futuquant/examples/app/shock_alarm/mysql_interface.py | hxhxhx88/futuquant | a1b4a875604f1de451ddde4bfa3e713452482b0a | [
"Apache-2.0"
] | null | null | null | futuquant/examples/app/shock_alarm/mysql_interface.py | hxhxhx88/futuquant | a1b4a875604f1de451ddde4bfa3e713452482b0a | [
"Apache-2.0"
] | null | null | null | futuquant/examples/app/shock_alarm/mysql_interface.py | hxhxhx88/futuquant | a1b4a875604f1de451ddde4bfa3e713452482b0a | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# test code
# myopenid = "kdhfskgadfvbsdvkjgkaghsdzfkigv_dgfjsdzfvbjazsgdcfvgh"
# p1 = 1000000.0
# p2 = 4000000.0
# stockid = ""
# user_setting = '' + ' ' + str(p1) + ' ' + str(p2) + ' '
# mi = mysql_interaction()
# mi.mysql_connect()
# mi.create_table()
# mi.update_threshold(myopenid, user_se... | 35.650685 | 205 | 0.615946 | # -*- coding: utf-8 -*-
import pymysql
import sys
class mysql_interface:
def __init__(self):
self.host = '127.0.0.1'
self.port = 3306
self.user = 'root'
self.passwd = 'hackch'
self.database = 'stock_alarm'
def mysql_connect(self):
conn = pymysql.connect(host=se... | 54 | 0 | 0 | 4,508 | 0 | 0 | 0 | -18 | 67 |
e1b2c1149369f6df05254a3b3334843b99dc7b5a | 536 | py | Python | var/spack/repos/builtin/packages/minisign/package.py | nkianggiss/spack | 3477d3375142a30f5714bb5966a6d8bb22c33c06 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 3 | 2019-06-27T13:26:50.000Z | 2019-07-01T16:24:54.000Z | var/spack/repos/builtin/packages/minisign/package.py | openbiox/spack | bb6ec7fb40c14b37e094a860e3625af53f633174 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 75 | 2016-07-27T11:43:00.000Z | 2020-12-08T15:56:53.000Z | var/spack/repos/builtin/packages/minisign/package.py | openbiox/spack | bb6ec7fb40c14b37e094a860e3625af53f633174 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 8 | 2015-10-16T13:51:49.000Z | 2021-10-18T13:58:03.000Z | # Copyright 2013-2019 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
| 29.777778 | 77 | 0.733209 | # Copyright 2013-2019 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class Minisign(CMakePackage):
"""Minisign is a dead simple tool to sign files and verify signatu... | 0 | 0 | 0 | 294 | 0 | 0 | 0 | -2 | 46 |
0630d97b18daffadde771908896b42a254081608 | 1,335 | py | Python | test_local.py | schnabel/pyhifiberry | 95db6332bbff87ec5b06e13c5f564131d9118281 | [
"MIT"
] | 1 | 2020-11-29T08:22:04.000Z | 2020-11-29T08:22:04.000Z | test_local.py | schnabel/pyhifiberry | 95db6332bbff87ec5b06e13c5f564131d9118281 | [
"MIT"
] | 6 | 2021-10-03T07:09:08.000Z | 2022-03-31T15:29:24.000Z | test_local.py | schnabel/pyhifiberry | 95db6332bbff87ec5b06e13c5f564131d9118281 | [
"MIT"
] | 2 | 2021-11-12T19:53:16.000Z | 2022-01-19T15:48:07.000Z | import asyncio
if __name__ == "__main__":
asyncio.get_event_loop().run_until_complete(main())
| 29.666667 | 86 | 0.570037 | import aiohttp
import asyncio
from pyhifiberry import audiocontrol2
async def main():
try:
async with aiohttp.ClientSession() as session:
api = audiocontrol2.Audiocontrol2(session, host="192.168.1.150")
status = await api.status()
print(status)
... | 0 | 0 | 1,153 | 0 | 0 | 0 | 0 | 9 | 74 |
ed98849faa6ce5bb0f07c478c4b1591efe3043de | 5,377 | py | Python | tests/test_DataLoaderStock.py | GuQiangJS/LSTM-for-Stock | 3bae9e5075f5c612a125726777c8275e805ccd9e | [
"MIT"
] | 1 | 2019-07-28T02:26:38.000Z | 2019-07-28T02:26:38.000Z | tests/test_DataLoaderStock.py | GuQiangJS/LSTM-for-Stock | 3bae9e5075f5c612a125726777c8275e805ccd9e | [
"MIT"
] | null | null | null | tests/test_DataLoaderStock.py | GuQiangJS/LSTM-for-Stock | 3bae9e5075f5c612a125726777c8275e805ccd9e | [
"MIT"
] | 1 | 2019-05-16T23:43:36.000Z | 2019-05-16T23:43:36.000Z | """
DataLoaderStock Wrapper
"""
import datetime
from LSTM_for_Stock.data_processor import get_ipo_date
def _test_dt(code):
""""""
try:
return datetime.datetime(2005, 1, 1) >= get_ipo_date(code)
except:
return False
# def test_111():
# import time
# import os
# import... | 30.378531 | 71 | 0.639018 | """
训练 DataLoaderStock 及 相关的 Wrapper
"""
import datetime
import logging
import numpy as np
import pandas as pd
from QUANTAXIS.QAFetch.QAQuery_Advance import \
QA_fetch_stock_block_adv as get_block
from LSTM_for_Stock.data_processor import DataLoader
from LSTM_for_Stock.data_processor import DataLoaderStock
from L... | 87 | 0 | 0 | 179 | 0 | 4,089 | 0 | 257 | 406 |
a8f76f6390fbed3c3d6e253fc4b28b526902315e | 7,470 | py | Python | tests/old_tests/hessian_graphs.py | jiangzhongshi/acorns-benchmark | df5f43af90a32f4c1578cdea1f4f412237e18c75 | [
"MIT"
] | 1 | 2021-09-24T21:24:02.000Z | 2021-09-24T21:24:02.000Z | tests/old_tests/hessian_graphs.py | jiangzhongshi/acorns-benchmark | df5f43af90a32f4c1578cdea1f4f412237e18c75 | [
"MIT"
] | null | null | null | tests/old_tests/hessian_graphs.py | jiangzhongshi/acorns-benchmark | df5f43af90a32f4c1578cdea1f4f412237e18c75 | [
"MIT"
] | 1 | 2021-09-24T21:22:54.000Z | 2021-09-24T21:22:54.000Z | import seaborn as sns
import re
sns.set(style="darkgrid")
num_params_list = [10, 2010, 4010, 6010, 8010, 10010, 20010, 30010, 40010]
def natural_keys(text):
'''
alist.sort(key=natural_keys) sorts in human order
http://nedbatchelder.com/blog/200712/human_sorting.html
(See Toothy's implementat... | 50.816327 | 183 | 0.690495 | import matplotlib.pyplot as plt
import numpy as np
import os
import json
import seaborn as sns
import re
sns.set(style="darkgrid")
num_params_list = [10, 2010, 4010, 6010, 8010, 10010, 20010, 30010, 40010]
def atoi(text):
return int(text) if text.isdigit() else text
def natural_keys(text):
'''
... | 0 | 0 | 0 | 0 | 0 | 6,010 | 0 | -15 | 242 |
03deef2de38b0f04176a1d773cb0ba5094bea1a4 | 6,375 | py | Python | neuronova_siet/convolutionalNetwork_ResNet50_4class.py | pavolmarak/level1_extractor | 55cb4b0d32a9740a963a069c732548363dc010fe | [
"MIT"
] | null | null | null | neuronova_siet/convolutionalNetwork_ResNet50_4class.py | pavolmarak/level1_extractor | 55cb4b0d32a9740a963a069c732548363dc010fe | [
"MIT"
] | null | null | null | neuronova_siet/convolutionalNetwork_ResNet50_4class.py | pavolmarak/level1_extractor | 55cb4b0d32a9740a963a069c732548363dc010fe | [
"MIT"
] | null | null | null | import tensorflow as tf
from tensorflow import keras
import numpy as np
from PIL import Image
import glob
from sklearn.metrics import confusion_matrix
classes = {'Arch': 0, 'Left Loop': 1, 'Right Loop': 2, 'Whorl': 3}
class_num = len(classes.keys())
file_folder_arch = '/home/editav/Desktop/FVC2002_Db4_a_b... | 38.636364 | 148 | 0.741961 | import tensorflow as tf
from tensorflow import keras
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
import glob
from sklearn.metrics import confusion_matrix
from sklearn.metrics import plot_confusion_matrix
classes = {'Arch': 0, 'Left Loop': 1, 'Right Loop': 2, 'Whorl': 3}
class_n... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 46 |
56d69f9e2fee5329e715995a7c1f3bdb114a0f2b | 11,991 | py | Python | rest_tools/client/client.py | WIPACrepo/rest-tools | 01f5822db4c8d2546cf3a8cdfaaae6afd1e96679 | [
"MIT"
] | 1 | 2020-08-24T19:05:57.000Z | 2020-08-24T19:05:57.000Z | rest_tools/client/client.py | WIPACrepo/rest-tools | 01f5822db4c8d2546cf3a8cdfaaae6afd1e96679 | [
"MIT"
] | 32 | 2020-05-15T20:14:31.000Z | 2022-03-16T15:01:45.000Z | rest_tools/client/client.py | WIPACrepo/rest-tools | 01f5822db4c8d2546cf3a8cdfaaae6afd1e96679 | [
"MIT"
] | null | null | null | """A simple REST json client using `requests`_ for the http connection.
.. _requests: http://docs.python-requests.org
The REST protocol is built on http(s), with the body containing
a json-encoded dictionary as necessary.
"""
# fmt:off
| 33.308333 | 131 | 0.566258 | """A simple REST json client using `requests`_ for the http connection.
.. _requests: http://docs.python-requests.org
The REST protocol is built on http(s), with the body containing
a json-encoded dictionary as necessary.
"""
# fmt:off
import asyncio
import logging
import os
import time
from typing import Any, Call... | 0 | 3,947 | 0 | 7,306 | 0 | 95 | 0 | 86 | 314 |
ad03574d359a584a0abdfeb741bbba716131c257 | 8,543 | py | Python | sts_wrldom/pawarModel.py | BigBossAnwer/STS-Pipeline | 952d2c577dd4b8a66c99b80a24589a98e20c2e60 | [
"MIT"
] | null | null | null | sts_wrldom/pawarModel.py | BigBossAnwer/STS-Pipeline | 952d2c577dd4b8a66c99b80a24589a98e20c2e60 | [
"MIT"
] | null | null | null | sts_wrldom/pawarModel.py | BigBossAnwer/STS-Pipeline | 952d2c577dd4b8a66c99b80a24589a98e20c2e60 | [
"MIT"
] | null | null | null | from collections import OrderedDict
import numpy as np
from wn.path import WordNetPaths
def disambiguate_pipe(df, name=None):
"""Returns a list of 2-tuples (s1_disam, s2_disam), for each sentence pair in the
dataframe, where each tuple is a list of disambiguated 2-tuples (word, synset).
Args:
... | 33.900794 | 94 | 0.584923 | import argparse
import json
import sys
from collections import OrderedDict
from pathlib import Path
import numpy as np
import pandas as pd
from scipy.stats import pearsonr
from wn.path import WordNetPaths
from sts_wrldom.corpusReader import read_data
from sts_wrldom.utils import accuracy, get_scores, log_frame, rmse
... | 0 | 0 | 0 | 0 | 0 | 2,562 | 0 | 70 | 200 |
36b1b8ec9746579c952c7aa0820a277b8669d81b | 2,360 | py | Python | modules/gender.py | adnan3856/BUDDY-A-face-recognition-based-voice-assistant- | 69833de3fda4ba6f4fef4e64ed12623fdd436ac7 | [
"MIT"
] | null | null | null | modules/gender.py | adnan3856/BUDDY-A-face-recognition-based-voice-assistant- | 69833de3fda4ba6f4fef4e64ed12623fdd436ac7 | [
"MIT"
] | null | null | null | modules/gender.py | adnan3856/BUDDY-A-face-recognition-based-voice-assistant- | 69833de3fda4ba6f4fef4e64ed12623fdd436ac7 | [
"MIT"
] | null | null | null | import cv2 as cv
import sys
faceProto = "datasets/opencv_face_detector.pbtxt"
faceModel = "datasets/opencv_face_detector_uint8.pb"
genderProto = "datasets/gender_deploy.prototxt"
genderModel = "datasets/gender_net.caffemodel"
MODEL_MEAN_VALUES = (78.4263377603, 87.7689143744, 114.895847746)
genderList = ['Ma... | 35.223881 | 141 | 0.652542 | import cv2 as cv
import sys
faceProto = "datasets/opencv_face_detector.pbtxt"
faceModel = "datasets/opencv_face_detector_uint8.pb"
genderProto = "datasets/gender_deploy.prototxt"
genderModel = "datasets/gender_net.caffemodel"
MODEL_MEAN_VALUES = (78.4263377603, 87.7689143744, 114.895847746)
genderList = ['Ma... | 0 | 0 | 0 | 0 | 0 | 870 | 0 | 0 | 25 |
6f43492bb77ef0f38b74347e7530ab085fb9e453 | 2,307 | py | Python | liv_learn/utils/plot_utils.py | neilswainston/synbiochem-learn | 9608b867a74989fd685b564dfa0f90f4c4f0165a | [
"MIT"
] | null | null | null | liv_learn/utils/plot_utils.py | neilswainston/synbiochem-learn | 9608b867a74989fd685b564dfa0f90f4c4f0165a | [
"MIT"
] | null | null | null | liv_learn/utils/plot_utils.py | neilswainston/synbiochem-learn | 9608b867a74989fd685b564dfa0f90f4c4f0165a | [
"MIT"
] | null | null | null | '''
(c) University of Liverpool 2019
All rights reserved.
@author: neilswainston
'''
# pylint: disable=invalid-name
# pylint: disable=wrong-import-order
import math
from sklearn.linear_model import LinearRegression
from liv_learn.utils import coeff_corr
import matplotlib.pyplot as plt
def plot_histogram(data, xla... | 26.215909 | 73 | 0.654963 | '''
(c) University of Liverpool 2019
All rights reserved.
@author: neilswainston
'''
# pylint: disable=invalid-name
# pylint: disable=wrong-import-order
import math
from sklearn.linear_model import LinearRegression
from liv_learn.utils import coeff_corr
import matplotlib.pyplot as plt
def plot_histogram(data, xla... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9871639d9becee08a4b2d8ffdfd538d2ebce9557 | 1,083 | py | Python | eureka/server/server_config.py | haribo0915/Spring-Cloud-in-Python | 0bcd7093869c797df14428bf2d1b0a779f96e573 | [
"Apache-2.0"
] | 5 | 2020-10-06T09:48:23.000Z | 2020-10-07T13:19:46.000Z | eureka/server/server_config.py | haribo0915/Spring-Cloud-in-Python | 0bcd7093869c797df14428bf2d1b0a779f96e573 | [
"Apache-2.0"
] | 5 | 2020-10-05T09:57:01.000Z | 2020-10-12T19:52:48.000Z | eureka/server/server_config.py | haribo0915/Spring-Cloud-in-Python | 0bcd7093869c797df14428bf2d1b0a779f96e573 | [
"Apache-2.0"
] | 8 | 2020-10-05T06:34:49.000Z | 2020-10-07T13:19:46.000Z | # -*- coding: utf-8 -*-
__author__ = "Daniel1147 (sxn91401@gmail.com)"
__license__ = "Apache 2.0"
# standard library
| 18.672414 | 116 | 0.604801 | # -*- coding: utf-8 -*-
__author__ = "Daniel1147 (sxn91401@gmail.com)"
__license__ = "Apache 2.0"
# standard library
from abc import ABC, abstractmethod
class ServerConfig(ABC):
"""
The configuration for starting up the eureka server. It allows clients to override the entities through setters.
"""
... | 0 | 426 | 0 | 454 | 0 | 0 | 0 | 14 | 68 |
b98bf1453272b88db2f452b3a0e08b868e90f6cd | 76,294 | py | Python | testSuite/scripts/test_service_to_service_copy.py | evenh/azure-storage-azcopy | 2c30af330b681d3a1f31db32e11245eafce9c5c3 | [
"MIT"
] | null | null | null | testSuite/scripts/test_service_to_service_copy.py | evenh/azure-storage-azcopy | 2c30af330b681d3a1f31db32e11245eafce9c5c3 | [
"MIT"
] | null | null | null | testSuite/scripts/test_service_to_service_copy.py | evenh/azure-storage-azcopy | 2c30af330b681d3a1f31db32e11245eafce9c5c3 | [
"MIT"
] | null | null | null | import os | 56.514074 | 216 | 0.705586 | import json
import os
import shutil
import time
import urllib
from collections import namedtuple
import utility as util
import unittest
import filecmp
import os.path
class Service_2_Service_Copy_User_Scenario(unittest.TestCase):
def setUp(self):
# init bucket_name
common_prefix = 's2scopybucket'
... | 0 | 2,726 | 0 | 73,380 | 0 | 0 | 0 | -42 | 221 |
db79d585651835308738e9521ec3d1ce8968000d | 6,340 | py | Python | ipet/parsing/StatisticReader_CustomReader.py | stephenjmaher/ipet | 3a23d81ba6ed7cb41e86211cb0507170e8cd205a | [
"MIT"
] | null | null | null | ipet/parsing/StatisticReader_CustomReader.py | stephenjmaher/ipet | 3a23d81ba6ed7cb41e86211cb0507170e8cd205a | [
"MIT"
] | null | null | null | ipet/parsing/StatisticReader_CustomReader.py | stephenjmaher/ipet | 3a23d81ba6ed7cb41e86211cb0507170e8cd205a | [
"MIT"
] | null | null | null | """
The MIT License (MIT)
Copyright (c) 2018 Zuse Institute Berlin, www.zib.de
Permissions are granted as stated in the license file you have obtained
with this software. If you find the library useful for your purpose,
please refer to README.md for how to cite IPET.
@author: Gregor Hendel
"""
import logging
logger... | 32.680412 | 151 | 0.588644 | """
The MIT License (MIT)
Copyright (c) 2018 Zuse Institute Berlin, www.zib.de
Permissions are granted as stated in the license file you have obtained
with this software. If you find the library useful for your purpose,
please refer to README.md for how to cite IPET.
@author: Gregor Hendel
"""
from .StatisticReader ... | 0 | 0 | 0 | 5,829 | 0 | 0 | 0 | 27 | 133 |
b84431952fff96610f94856bd885e4cef0405172 | 6,509 | py | Python | python/rikai/spark/sql/codegen/fs.py | adRise/rikai | 052022594bf924fa7cd6062d290e3392c6b7571a | [
"Apache-2.0"
] | null | null | null | python/rikai/spark/sql/codegen/fs.py | adRise/rikai | 052022594bf924fa7cd6062d290e3392c6b7571a | [
"Apache-2.0"
] | null | null | null | python/rikai/spark/sql/codegen/fs.py | adRise/rikai | 052022594bf924fa7cd6062d290e3392c6b7571a | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Rikai Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | 28.548246 | 76 | 0.590413 | # Copyright 2021 Rikai Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | 0 | 1,065 | 0 | 2,186 | 0 | 0 | 0 | 133 | 158 |
e037b8fad5f5e0b9e9debd08dec5e87d2f5dfa16 | 11,261 | py | Python | contrib/opencensus-ext-django/tests/test_django_middleware.py | hkwi/opencensus-python | 4673e1bbe091f5ca4d2e8d2b778005104396f764 | [
"Apache-2.0"
] | null | null | null | contrib/opencensus-ext-django/tests/test_django_middleware.py | hkwi/opencensus-python | 4673e1bbe091f5ca4d2e8d2b778005104396f764 | [
"Apache-2.0"
] | null | null | null | contrib/opencensus-ext-django/tests/test_django_middleware.py | hkwi/opencensus-python | 4673e1bbe091f5ca4d2e8d2b778005104396f764 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017, OpenCensus Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | 32.45245 | 127 | 0.642572 | # Copyright 2017, OpenCensus Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | 0 | 0 | 0 | 10,167 | 0 | 0 | 0 | 218 | 291 |
fa86dfd13823fdc44a4452c3202176dc16c4eabb | 1,198 | py | Python | analyze/calc_run_20180202-l.py | JeroenvO/pulsedpowerplasmaplots | dd953359569826edfae321a039b6f9af2340d560 | [
"MIT"
] | null | null | null | analyze/calc_run_20180202-l.py | JeroenvO/pulsedpowerplasmaplots | dd953359569826edfae321a039b6f9af2340d560 | [
"MIT"
] | null | null | null | analyze/calc_run_20180202-l.py | JeroenvO/pulsedpowerplasmaplots | dd953359569826edfae321a039b6f9af2340d560 | [
"MIT"
] | null | null | null |
base = 'G:/Prive/MIJN-Documenten/TU/62-Stage/20180202-l/'
d=-5
# calc_run(base + 'run1b',
# REACTOR_GLASS_SHORT_QUAD,
# scope_multiple=True,
# scope_file_name_index=2, # lengt
# meas=SHORT_MEAS_LEN,
# current_scaling=0.5,
# delay=d,
# voltage_offset=30,
... | 24.44898 | 57 | 0.565109 | from analyze.calc_run import *
base = 'G:/Prive/MIJN-Documenten/TU/62-Stage/20180202-l/'
d=-5
# calc_run(base + 'run1b',
# REACTOR_GLASS_SHORT_QUAD,
# scope_multiple=True,
# scope_file_name_index=2, # lengt
# meas=SHORT_MEAS_LEN,
# current_scaling=0.5,
# delay=d,... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 22 |
f71b9cde058636291fadd916f2bb3f983e61f130 | 3,694 | py | Python | BM/1.Pipelines_For_Running_Tools/1.B.pipe_M2S2MH/python.MH_conc.py | hiyoothere/Benchmarking-mosaic-variant-detection | a627602276273c10bbdcf2b9cf30a634765e40f8 | [
"CECILL-B"
] | 2 | 2021-11-24T04:38:34.000Z | 2022-01-21T08:38:24.000Z | BM/1.Pipelines_For_Running_Tools/1.B.pipe_M2S2MH/python.MH_conc.py | hiyoothere/Benchmarking-mosaic-variant-detection | a627602276273c10bbdcf2b9cf30a634765e40f8 | [
"CECILL-B"
] | null | null | null | BM/1.Pipelines_For_Running_Tools/1.B.pipe_M2S2MH/python.MH_conc.py | hiyoothere/Benchmarking-mosaic-variant-detection | a627602276273c10bbdcf2b9cf30a634765e40f8 | [
"CECILL-B"
] | null | null | null | import glob
import sys
##### creatin dict that will have all control positions
##### EXECUTION ######
MHpath = sys.argv[1]
ID_con = sys.argv[2]
ID_cas = sys.argv[3]
OutPath = sys.argv[4]
DP = sys.argv[5]
if "ND" in DP:
con_MH = MHpath + "/ND-" + ID_con + "/final.passed.tsv"
cas_MH = MHpath + "/ND-" + ID_cas + "/... | 30.278689 | 96 | 0.566594 | import glob
import sys
##### creatin dict that will have all control positions
def con_pos(con_MH):
con_dict = {}
f = open(con_MH, 'r')
for line in f:
s = line.split()
chr = s[0]
pos = s[1]
ref = int(s[7]) #ref depth
alt = int(s[9]) #alt depth
vaf = float(alt)/(ref+alt)
alt_type = s[8] #alt base
... | 0 | 0 | 0 | 0 | 0 | 3,031 | 0 | 0 | 118 |
4144ce31063b1d2b9decd3583fe037bc287fa1f0 | 8,305 | py | Python | src/tener/models/embeddings/sinusoidal_embd.py | dhiraa/tener | 54b78aead492390b2ea0016596a3ebe2b9c3b986 | [
"Apache-2.0"
] | 8 | 2020-02-21T09:16:43.000Z | 2020-10-17T02:33:32.000Z | src/tener/models/embeddings/sinusoidal_embd.py | dhiraa/tener | 54b78aead492390b2ea0016596a3ebe2b9c3b986 | [
"Apache-2.0"
] | 6 | 2020-09-25T19:03:58.000Z | 2022-02-28T07:18:00.000Z | src/tener/models/embeddings/sinusoidal_embd.py | dhiraa/tener | 54b78aead492390b2ea0016596a3ebe2b9c3b986 | [
"Apache-2.0"
] | 6 | 2020-04-28T06:27:35.000Z | 2022-02-20T19:17:15.000Z | import math
import tensorflow as tf
import torch
def make_positions(tensor, padding_idx=0):
"""Replace non-padding symbols with their position numbers.
Position numbers begin at padding_idx+1. Padding symbols are ignored.
"""
# The series of casts and type-conversions here are carefully
# balan... | 37.922374 | 120 | 0.636725 | import math
import numpy as np
import tensorflow as tf
import torch
from torch import nn
import torch.nn.functional as F
import math
from tener.misc.pretty_print import print_info
def get_angles(pos, i, d_model):
angle_rates = 1 / np.power(10000, (2 * (i//2)) / np.float32(d_model))
return pos * angle_rates... | 21 | 1,706 | 0 | 4,296 | 0 | 609 | 0 | 21 | 250 |