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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1c448be188fe77732f9991217edb9ad012e025a7 | 20 | py | Python | tvlibre/settings/prod.py | mjroson/tvlibre | b0ac862710c7f22242e2adb29c4fef32d604daf3 | [
"MIT"
] | null | null | null | tvlibre/settings/prod.py | mjroson/tvlibre | b0ac862710c7f22242e2adb29c4fef32d604daf3 | [
"MIT"
] | 3 | 2016-04-01T20:48:54.000Z | 2016-04-02T16:06:20.000Z | tvlibre/settings/__init__.py | mjroson/tvlibre | b0ac862710c7f22242e2adb29c4fef32d604daf3 | [
"MIT"
] | 1 | 2019-05-07T20:34:07.000Z | 2019-05-07T20:34:07.000Z | __author__ = 'docn'
| 10 | 19 | 0.7 | __author__ = 'docn'
| true | true |
1c448c7c722c4c7389efd5f9e82ed4dd6eb3774d | 538 | py | Python | manage.py | kirega/stocks | 11b0d86054bb54feca5a59d40ddd50f11ce216da | [
"MIT"
] | 1 | 2020-07-16T08:12:27.000Z | 2020-07-16T08:12:27.000Z | manage.py | pankleshwaria/Django-REST-API | 3844234036e3d6906f0ca8656d559be3dd8bcc95 | [
"MIT"
] | 6 | 2019-03-19T12:16:29.000Z | 2020-06-05T20:08:39.000Z | manage.py | kirega/stocks | 11b0d86054bb54feca5a59d40ddd50f11ce216da | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import sys
if __name__ == '__main__':
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'stocks.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are y... | 33.625 | 73 | 0.685874 | import os
import sys
if __name__ == '__main__':
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'stocks.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you sure it's installed... | true | true |
1c448ce9fdfe3ff6f29e0154046191dddead72a0 | 381 | py | Python | tests/test_vis.py | scott-trinkle/fiberorient | 306cf2741008eb46a97cfccdcf81e9ec33189a8d | [
"MIT"
] | null | null | null | tests/test_vis.py | scott-trinkle/fiberorient | 306cf2741008eb46a97cfccdcf81e9ec33189a8d | [
"MIT"
] | null | null | null | tests/test_vis.py | scott-trinkle/fiberorient | 306cf2741008eb46a97cfccdcf81e9ec33189a8d | [
"MIT"
] | null | null | null | import pytest
import numpy as np
from numpy.testing import assert_array_equal, assert_array_almost_equal
from context import fiberorient as fo
def test_img_to_dec(img, vectors):
true_dec = np.zeros_like(vectors)
true_dec[..., 0] = fo.util.rescale(img, scale=255).astype(np.uint8)
test_dec = fo.vis.img_to_... | 29.307692 | 71 | 0.766404 | import pytest
import numpy as np
from numpy.testing import assert_array_equal, assert_array_almost_equal
from context import fiberorient as fo
def test_img_to_dec(img, vectors):
true_dec = np.zeros_like(vectors)
true_dec[..., 0] = fo.util.rescale(img, scale=255).astype(np.uint8)
test_dec = fo.vis.img_to_... | true | true |
1c448d527ba265f27954470348b0ff3bc8772d49 | 25,215 | py | Python | ansible/modules/network/nxos/nxos_igmp_interface.py | EnjoyLifeFund/py36pkgs | 0ac677fbbfa7b6d8c527fe2c759ba05117b07fd2 | [
"MIT",
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | ansible/modules/network/nxos/nxos_igmp_interface.py | EnjoyLifeFund/py36pkgs | 0ac677fbbfa7b6d8c527fe2c759ba05117b07fd2 | [
"MIT",
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | ansible/modules/network/nxos/nxos_igmp_interface.py | EnjoyLifeFund/py36pkgs | 0ac677fbbfa7b6d8c527fe2c759ba05117b07fd2 | [
"MIT",
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is distribut... | 36.072961 | 79 | 0.608209 |
ANSIBLE_METADATA = {'metadata_version': '1.0',
'status': ['preview'],
'supported_by': 'community'}
DOCUMENTATION = '''
---
module: nxos_igmp_interface
extends_documentation_fragment: nxos
version_added: "2.2"
short_description: Manages IGMP interface configuration.
description... | true | true |
1c448dbcb82a77112b5b4abec69896d7f3d2a467 | 664 | py | Python | tests/pymath/test_expanded_form.py | JASTYN/pythonmaster | 46638ab09d28b65ce5431cd0759fe6df272fb85d | [
"Apache-2.0",
"MIT"
] | 3 | 2017-05-02T10:28:13.000Z | 2019-02-06T09:10:11.000Z | tests/pymath/test_expanded_form.py | JASTYN/pythonmaster | 46638ab09d28b65ce5431cd0759fe6df272fb85d | [
"Apache-2.0",
"MIT"
] | 2 | 2017-06-21T20:39:14.000Z | 2020-02-25T10:28:57.000Z | tests/pymath/test_expanded_form.py | JASTYN/pythonmaster | 46638ab09d28b65ce5431cd0759fe6df272fb85d | [
"Apache-2.0",
"MIT"
] | 2 | 2016-07-29T04:35:22.000Z | 2017-01-18T17:05:36.000Z | import unittest
from pymath.expanded_form import expanded_form, expanded_form_2
class ExpandedFormTests(unittest.TestCase):
def test_12(self):
self.assertEqual("10 + 2", expanded_form(12))
def test_42(self):
self.assertEqual('40 + 2', expanded_form(42))
def test_70304(self):
se... | 26.56 | 67 | 0.683735 | import unittest
from pymath.expanded_form import expanded_form, expanded_form_2
class ExpandedFormTests(unittest.TestCase):
def test_12(self):
self.assertEqual("10 + 2", expanded_form(12))
def test_42(self):
self.assertEqual('40 + 2', expanded_form(42))
def test_70304(self):
se... | true | true |
1c448e3b094d67eacf7c5e088b00bbf10ceaeef8 | 479 | py | Python | scatterplot.py | daithimarkham/pands-project | f3d6dcb82fda1db851a3d78571a9d4a48f908eba | [
"Apache-2.0"
] | null | null | null | scatterplot.py | daithimarkham/pands-project | f3d6dcb82fda1db851a3d78571a9d4a48f908eba | [
"Apache-2.0"
] | null | null | null | scatterplot.py | daithimarkham/pands-project | f3d6dcb82fda1db851a3d78571a9d4a48f908eba | [
"Apache-2.0"
] | 1 | 2021-01-24T01:21:57.000Z | 2021-01-24T01:21:57.000Z | # David Markham
# Fisher Iris Data set
# Use a Multivariate scatter-plot to distinguish the relationship between the flowers.
# Import Libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sn
from pandas.plotting import scatter_matrix
# Load dataset
data = ("iris.csv")... | 21.772727 | 86 | 0.753653 |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sn
from pandas.plotting import scatter_matrix
data = ("iris.csv")
names = ['sepal-length', 'sepal-width', 'petal-length', 'petal-width', 'species']
dataset = pd.read_csv(data, header = 0)
scatter_matrix(dataset)
plt.show() | true | true |
1c448fbc518db24521418d3b53a5690ab14edbbd | 583 | py | Python | docassemble/setup.py | ttamg/docassemble | 1429fbbddfeb60b9f8fe74c928a479236d6a6113 | [
"MIT"
] | 1 | 2020-06-01T15:46:11.000Z | 2020-06-01T15:46:11.000Z | docassemble/setup.py | ttamg/docassemble | 1429fbbddfeb60b9f8fe74c928a479236d6a6113 | [
"MIT"
] | null | null | null | docassemble/setup.py | ttamg/docassemble | 1429fbbddfeb60b9f8fe74c928a479236d6a6113 | [
"MIT"
] | null | null | null | import os
from setuptools import setup, find_packages
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
setup(name='docassemble',
version='1.1.15',
python_requires='>=3.5',
description=('The namespace package for the docassemble system.'),
long_description... | 29.15 | 72 | 0.665523 | import os
from setuptools import setup, find_packages
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
setup(name='docassemble',
version='1.1.15',
python_requires='>=3.5',
description=('The namespace package for the docassemble system.'),
long_description... | true | true |
1c4490d3bc0bfdfa9fc91679f196a39d1ed17257 | 81,315 | py | Python | python/pyspark/tests.py | bopopescu/wso2-spark | 6982456ded39a8fef0ad26600218f8f575aac2a5 | [
"Apache-2.0",
"MIT"
] | 11 | 2016-05-26T12:06:38.000Z | 2020-07-06T20:37:07.000Z | python/pyspark/tests.py | bopopescu/wso2-spark | 6982456ded39a8fef0ad26600218f8f575aac2a5 | [
"Apache-2.0",
"MIT"
] | null | null | null | python/pyspark/tests.py | bopopescu/wso2-spark | 6982456ded39a8fef0ad26600218f8f575aac2a5 | [
"Apache-2.0",
"MIT"
] | 9 | 2016-07-29T01:13:50.000Z | 2020-07-23T16:16:17.000Z | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 40.902918 | 99 | 0.59465 |
from array import array
from glob import glob
import os
import re
import shutil
import subprocess
import sys
import tempfile
import time
import zipfile
import random
import threading
import hashlib
from py4j.protocol import Py4JJavaError
if sys.version_info[:2] <= (2, 6):
try:
import unittest2 as unitte... | true | true |
1c44913b32f366f87742a6a4c2126b81e0bf5d8f | 1,632 | py | Python | Module2/Day17/module2_day17_userInput.py | sydneybeal/100DaysPython | d1b004bd27a0644983f3af100172f394ee039f30 | [
"MIT"
] | 2 | 2019-06-02T12:17:18.000Z | 2019-07-12T16:55:55.000Z | Module2/Day17/module2_day17_userInput.py | sydneybeal/100DaysPython | d1b004bd27a0644983f3af100172f394ee039f30 | [
"MIT"
] | null | null | null | Module2/Day17/module2_day17_userInput.py | sydneybeal/100DaysPython | d1b004bd27a0644983f3af100172f394ee039f30 | [
"MIT"
] | null | null | null | """
Author: <REPLACE>
Project: 100DaysPython
File: module1_day16_userInput.py
Creation Date: <REPLACE>
Description: <REPLACE>
"""
# print(input())
# print(input("How many questions will you get asked?"))
name = input("What is your name?")
print(name)
resp = input("Do ... | 45.333333 | 137 | 0.664216 |
name = input("What is your name?")
print(name)
resp = input("Do you approach the bridge keeper? (y/n)")
if "y" in resp.lower():
print("Those who approach the Bridge of Death must answer me these questions three. There the other side he see.")
print(input("How do you respond?"))
name = input("What is you nam... | true | true |
1c44914fc1c38f634cff5b91eb98ea2a6b442953 | 1,029 | py | Python | day-13/problem.py | mkemp/aoc-2021 | 03573a0e865ff86324245896e26260b14650d2ba | [
"MIT"
] | 1 | 2021-12-04T15:18:56.000Z | 2021-12-04T15:18:56.000Z | day-13/problem.py | mkemp/aoc-2021 | 03573a0e865ff86324245896e26260b14650d2ba | [
"MIT"
] | null | null | null | day-13/problem.py | mkemp/aoc-2021 | 03573a0e865ff86324245896e26260b14650d2ba | [
"MIT"
] | null | null | null | with open('input') as f:
coordinates, creases = f.read().strip().split('\n\n')
dots = [tuple(map(int, line.split(','))) for line in coordinates.split('\n')]
folds = [(line[11:12], int(line[13:])) for line in creases.split('\n')]
def do_fold(dots, x_or_y, at):
new_dots = set()
if x_or_y == 'x':
... | 22.866667 | 81 | 0.489796 | with open('input') as f:
coordinates, creases = f.read().strip().split('\n\n')
dots = [tuple(map(int, line.split(','))) for line in coordinates.split('\n')]
folds = [(line[11:12], int(line[13:])) for line in creases.split('\n')]
def do_fold(dots, x_or_y, at):
new_dots = set()
if x_or_y == 'x':
... | true | true |
1c44930d11306e39af7a6ffbd3814e73e7a26fb9 | 521 | py | Python | Famcy/_elements_/span/span.py | nexuni/Famcy | 80f8f18fe1614ab3c203ca3466b9506b494470bf | [
"Apache-2.0"
] | null | null | null | Famcy/_elements_/span/span.py | nexuni/Famcy | 80f8f18fe1614ab3c203ca3466b9506b494470bf | [
"Apache-2.0"
] | 12 | 2022-02-05T04:56:44.000Z | 2022-03-30T09:59:26.000Z | Famcy/_elements_/span/span.py | nexuni/Famcy | 80f8f18fe1614ab3c203ca3466b9506b494470bf | [
"Apache-2.0"
] | null | null | null | import Famcy
import json
class span(Famcy.FamcyElement):
def __init__(self):
super(span, self).__init__()
def render_element(self):
html = ""
if self.innerHTML and self.innerHTML != "":
html += self.innerHTML
self.children = []
else:
for chi... | 27.421053 | 67 | 0.539347 | import Famcy
import json
class span(Famcy.FamcyElement):
def __init__(self):
super(span, self).__init__()
def render_element(self):
html = ""
if self.innerHTML and self.innerHTML != "":
html += self.innerHTML
self.children = []
else:
for chi... | true | true |
1c4497e7978fbbf7db672a1f8b3185fdccee9f54 | 1,473 | py | Python | nitro-python/nssrc/com/citrix/netscaler/nitro/resource/config/ns/__init__.py | culbertm/NSttyPython | ff9f6aedae3fb8495342cd0fc4247c819cf47397 | [
"Apache-2.0"
] | null | null | null | nitro-python/nssrc/com/citrix/netscaler/nitro/resource/config/ns/__init__.py | culbertm/NSttyPython | ff9f6aedae3fb8495342cd0fc4247c819cf47397 | [
"Apache-2.0"
] | null | null | null | nitro-python/nssrc/com/citrix/netscaler/nitro/resource/config/ns/__init__.py | culbertm/NSttyPython | ff9f6aedae3fb8495342cd0fc4247c819cf47397 | [
"Apache-2.0"
] | null | null | null | __all__ = ['nsacl', 'nsacl6', 'nsacls', 'nsacls6', 'nsappflowcollector', 'nsappflowparam', 'nsaptlicense', 'nsassignment', 'nscapacity', 'nscentralmanagementserver', 'nsconfig', 'nsconnectiontable', 'nsconsoleloginprompt', 'nsdhcpip', 'nsdhcpparams', 'nsdiameter', 'nsencryptionparams', 'nsevents', 'nsextension', 'nsext... | 1,473 | 1,473 | 0.783435 | __all__ = ['nsacl', 'nsacl6', 'nsacls', 'nsacls6', 'nsappflowcollector', 'nsappflowparam', 'nsaptlicense', 'nsassignment', 'nscapacity', 'nscentralmanagementserver', 'nsconfig', 'nsconnectiontable', 'nsconsoleloginprompt', 'nsdhcpip', 'nsdhcpparams', 'nsdiameter', 'nsencryptionparams', 'nsevents', 'nsextension', 'nsext... | true | true |
1c4498665b8aae85e1fcc79ae9ad664e8e4f74fe | 2,454 | py | Python | script/map_design_layer.py | matteli/histemul | 61f1ea8e1263b92fd2bead0c808f67940faad802 | [
"BSD-2-Clause"
] | 1 | 2019-07-05T09:40:50.000Z | 2019-07-05T09:40:50.000Z | script/map_design_layer.py | matteli/histemul | 61f1ea8e1263b92fd2bead0c808f67940faad802 | [
"BSD-2-Clause"
] | null | null | null | script/map_design_layer.py | matteli/histemul | 61f1ea8e1263b92fd2bead0c808f67940faad802 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/python3
'''
Copyright (c) 2012-2015, Matthieu Nué
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice,
this list of con... | 40.9 | 154 | 0.765689 | import shlex, subprocess
print("1/5")
p = subprocess.Popen(shlex.split("convert worldid.png -morphology Edge Disk:1.0 -threshold 0.1 -negate worldedge.png"))
p.wait()
print("2/5")
p = subprocess.Popen(shlex.split("convert worldedge.png -blur 0x2 -shade 115x30 worldtemp1.png"))
p.wait()
print("3/5")
p = subprocess.P... | true | true |
1c449b22c9baf8b37615b192cc1ac043d84ca6f0 | 4,960 | py | Python | arviz/plots/energyplot.py | aseyboldt/arviz | 1fb40ff442f5ba4b8d11ceeaef27e6c339eb1685 | [
"Apache-2.0"
] | null | null | null | arviz/plots/energyplot.py | aseyboldt/arviz | 1fb40ff442f5ba4b8d11ceeaef27e6c339eb1685 | [
"Apache-2.0"
] | null | null | null | arviz/plots/energyplot.py | aseyboldt/arviz | 1fb40ff442f5ba4b8d11ceeaef27e6c339eb1685 | [
"Apache-2.0"
] | null | null | null | """Plot energy transition distribution in HMC inference."""
from itertools import cycle
from matplotlib.pyplot import rcParams
import numpy as np
from ..data import convert_to_dataset
from .plot_utils import _scale_fig_size, get_plotting_function
def plot_energy(
data,
kind="kde",
bfmi=True,
figsize=... | 33.066667 | 99 | 0.644355 | from itertools import cycle
from matplotlib.pyplot import rcParams
import numpy as np
from ..data import convert_to_dataset
from .plot_utils import _scale_fig_size, get_plotting_function
def plot_energy(
data,
kind="kde",
bfmi=True,
figsize=None,
legend=True,
fill_alpha=(1, 0.75),
fill_co... | true | true |
1c449b7027e666e7274fd83f44ad36f1462257cb | 7,573 | py | Python | addons/house_location/models/house_location.py | nathanbangwa243/house-location | fa38203b2c92dd97f253fc3b4354af228f1b0338 | [
"MIT"
] | 1 | 2021-11-17T18:49:44.000Z | 2021-11-17T18:49:44.000Z | addons/house_location/models/house_location.py | nathanbangwa243/house-location | fa38203b2c92dd97f253fc3b4354af228f1b0338 | [
"MIT"
] | null | null | null | addons/house_location/models/house_location.py | nathanbangwa243/house-location | fa38203b2c92dd97f253fc3b4354af228f1b0338 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# odoo imports
from odoo import models
from odoo import fields
from odoo import api
from odoo import exceptions
# others imports
import datetime
class HouseLocation(models.Model):
_name = 'house.location'
_description = 'House Location'
name = fields.Char(string="Title", require... | 28.469925 | 105 | 0.589727 |
from odoo import models
from odoo import fields
from odoo import api
from odoo import exceptions
import datetime
class HouseLocation(models.Model):
_name = 'house.location'
_description = 'House Location'
name = fields.Char(string="Title", required=True, help="",)
description = fields.Text(string=... | true | true |
1c449c41e70e7280767ce5dd935f25659bbe4897 | 2,825 | py | Python | salt/modules/scsi.py | Noah-Huppert/salt | 998c382f5f2c3b4cbf7d96aa6913ada6993909b3 | [
"Apache-2.0"
] | 19 | 2016-01-29T14:37:52.000Z | 2022-03-30T18:08:01.000Z | salt/modules/scsi.py | Noah-Huppert/salt | 998c382f5f2c3b4cbf7d96aa6913ada6993909b3 | [
"Apache-2.0"
] | 223 | 2016-03-02T16:39:41.000Z | 2022-03-03T12:26:35.000Z | salt/modules/scsi.py | Noah-Huppert/salt | 998c382f5f2c3b4cbf7d96aa6913ada6993909b3 | [
"Apache-2.0"
] | 64 | 2016-02-04T19:45:26.000Z | 2021-12-15T02:02:31.000Z | # -*- coding: utf-8 -*-
"""
SCSI administration module
"""
from __future__ import absolute_import, print_function, unicode_literals
import logging
import os.path
import salt.utils.path
log = logging.getLogger(__name__)
__func_alias__ = {"ls_": "ls"}
def ls_(get_size=True):
"""
List SCSI devices, with deta... | 27.427184 | 88 | 0.513274 | from __future__ import absolute_import, print_function, unicode_literals
import logging
import os.path
import salt.utils.path
log = logging.getLogger(__name__)
__func_alias__ = {"ls_": "ls"}
def ls_(get_size=True):
if not salt.utils.path.which("lsscsi"):
__context__["retcode"] = 1
return "scs... | true | true |
1c449cfee90b6a41e6c2ac62cbebd76da108bf37 | 241 | py | Python | approxhaynet/runsinglecellLFP.py | ModelDBRepository/237469 | 15f71106b4f99577ee503178aaedbf2781ec61f6 | [
"CC-BY-4.0"
] | null | null | null | approxhaynet/runsinglecellLFP.py | ModelDBRepository/237469 | 15f71106b4f99577ee503178aaedbf2781ec61f6 | [
"CC-BY-4.0"
] | null | null | null | approxhaynet/runsinglecellLFP.py | ModelDBRepository/237469 | 15f71106b4f99577ee503178aaedbf2781ec61f6 | [
"CC-BY-4.0"
] | null | null | null | import simseedburst_func_withLFP
data = simseedburst_func_withLFP.simseedburst_func(Nmc=1, tstop=11000,mutID=0,rdSeed=1,Econ=0.00039,Icon=0.0006,nseg=5,rateCoeff=1.0,gNoiseCoeff=1.07,gSynCoeff=1.07,Ncells2save=1,sparsedt=1.0,Nsyns2save=1)
| 48.2 | 205 | 0.821577 | import simseedburst_func_withLFP
data = simseedburst_func_withLFP.simseedburst_func(Nmc=1, tstop=11000,mutID=0,rdSeed=1,Econ=0.00039,Icon=0.0006,nseg=5,rateCoeff=1.0,gNoiseCoeff=1.07,gSynCoeff=1.07,Ncells2save=1,sparsedt=1.0,Nsyns2save=1)
| true | true |
1c449dd14a675bb11a5d0b4e04f1b1f2dd18faf5 | 1,083 | py | Python | poptimizer/data/adapters/gateways/tests/test_cbr.py | poliyev/poptimizer | 71935c4365b0572e65b6d3172f925701dda283db | [
"Unlicense"
] | 94 | 2018-12-04T13:14:16.000Z | 2022-03-31T17:53:11.000Z | poptimizer/data/adapters/gateways/tests/test_cbr.py | poliyev/poptimizer | 71935c4365b0572e65b6d3172f925701dda283db | [
"Unlicense"
] | 55 | 2019-11-25T21:18:50.000Z | 2022-02-16T07:06:50.000Z | poptimizer/data/adapters/gateways/tests/test_cbr.py | poliyev/poptimizer | 71935c4365b0572e65b6d3172f925701dda283db | [
"Unlicense"
] | 25 | 2019-05-14T19:04:09.000Z | 2022-03-21T05:22:28.000Z | """Тесты загрузки данных о максимальных ставках депозитов с сайта ЦБР."""
from datetime import datetime
import pandas as pd
import pytest
from poptimizer.data.adapters.gateways import cbr
from poptimizer.data.adapters.html import parser
from poptimizer.shared import col
def test_date_parser():
"""Проверка обраб... | 27.769231 | 73 | 0.689751 | from datetime import datetime
import pandas as pd
import pytest
from poptimizer.data.adapters.gateways import cbr
from poptimizer.data.adapters.html import parser
from poptimizer.shared import col
def test_date_parser():
assert cbr.date_parser("III.05.2021") == datetime(2021, 5, 21)
assert cbr.date_parser("... | true | true |
1c449e1964a8cbe044f07acdc9c0bc3aa308f42c | 2,810 | py | Python | setup.py | NarekA/olmos | 740c1ec6351d96bcea4969ab87afdfb4686efbaf | [
"MIT"
] | null | null | null | setup.py | NarekA/olmos | 740c1ec6351d96bcea4969ab87afdfb4686efbaf | [
"MIT"
] | null | null | null | setup.py | NarekA/olmos | 740c1ec6351d96bcea4969ab87afdfb4686efbaf | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
.. currentmodule:: setup.py
.. moduleauthor:: NarekA <my_email>
This file is used to create the package we'll publish to PyPI.
"""
import importlib.util
import os
from pathlib import Path
from setuptools import setup, find_packages, Command
from codecs import open #... | 29.893617 | 79 | 0.649466 |
import importlib.util
import os
from pathlib import Path
from setuptools import setup, find_packages, Command
from codecs import open from os import path
here = path.abspath(path.dirname(__file__))
with open(path.join(here, 'README.rst'), encoding='utf-8') as f:
long_description = f.read()
# file in the src d... | true | true |
1c449e4c0f9b6812e2ad6eb27f9fcdb6e97545d0 | 9,541 | py | Python | Gabarito FlappyBird.py | eduardomoraespy/flappy_bird_with_neural-network | d394b9a5dea6eef684ed7a0179cfe8272c1e3bdc | [
"MIT"
] | null | null | null | Gabarito FlappyBird.py | eduardomoraespy/flappy_bird_with_neural-network | d394b9a5dea6eef684ed7a0179cfe8272c1e3bdc | [
"MIT"
] | null | null | null | Gabarito FlappyBird.py | eduardomoraespy/flappy_bird_with_neural-network | d394b9a5dea6eef684ed7a0179cfe8272c1e3bdc | [
"MIT"
] | null | null | null | import pygame
import os
import random
import neat
ai_jogando = True
geracao = 0
TELA_LARGURA = 500
TELA_ALTURA = 700
IMAGEM_CANO = pygame.transform.scale2x(pygame.image.load(os.path.join('imgs', 'pipe.png')))
IMAGEM_CHAO = pygame.transform.scale2x(pygame.image.load(os.path.join('imgs', 'base.png')))
IMAGEM_BACKGROUN... | 31.281967 | 96 | 0.579289 | import pygame
import os
import random
import neat
ai_jogando = True
geracao = 0
TELA_LARGURA = 500
TELA_ALTURA = 700
IMAGEM_CANO = pygame.transform.scale2x(pygame.image.load(os.path.join('imgs', 'pipe.png')))
IMAGEM_CHAO = pygame.transform.scale2x(pygame.image.load(os.path.join('imgs', 'base.png')))
IMAGEM_BACKGROUN... | true | true |
1c449f9ed77b754c5bdb3a79fb6a5638a020d7b7 | 10,053 | py | Python | pyjsviz/lib/python3.4/site-packages/pip/vcs/git.py | Geege/dataviz-with-python-and-js | 2cb40ae243298d22ee98675692b44e8da950a812 | [
"MIT"
] | null | null | null | pyjsviz/lib/python3.4/site-packages/pip/vcs/git.py | Geege/dataviz-with-python-and-js | 2cb40ae243298d22ee98675692b44e8da950a812 | [
"MIT"
] | null | null | null | pyjsviz/lib/python3.4/site-packages/pip/vcs/git.py | Geege/dataviz-with-python-and-js | 2cb40ae243298d22ee98675692b44e8da950a812 | [
"MIT"
] | null | null | null | from __future__ import absolute_import
import logging
import tempfile
import os.path
from pip.compat import samefile
from pip.exceptions import BadCommand
from pip._vendor.six.moves.urllib import parse as urllib_parse
from pip._vendor.six.moves.urllib import request as urllib_request
from pip.utils import display_pa... | 36.556364 | 78 | 0.562718 | from __future__ import absolute_import
import logging
import tempfile
import os.path
from pip.compat import samefile
from pip.exceptions import BadCommand
from pip._vendor.six.moves.urllib import parse as urllib_parse
from pip._vendor.six.moves.urllib import request as urllib_request
from pip.utils import display_pa... | true | true |
1c449ff6839fb7088eca4a84f73092fc0c50bfd1 | 51,092 | py | Python | tests/core/test_Transaction.py | ademcan/QRL | 8eed7305c8a055758343ea414d8183f21b2bf6aa | [
"MIT"
] | 1 | 2020-07-11T15:32:52.000Z | 2020-07-11T15:32:52.000Z | tests/core/test_Transaction.py | ademcan/QRL | 8eed7305c8a055758343ea414d8183f21b2bf6aa | [
"MIT"
] | null | null | null | tests/core/test_Transaction.py | ademcan/QRL | 8eed7305c8a055758343ea414d8183f21b2bf6aa | [
"MIT"
] | null | null | null | from unittest import TestCase
import simplejson as json
from mock import Mock
from pyqrllib.pyqrllib import bin2hstr
from qrl.core.misc import logger
from qrl.core.BlockHeader import BlockHeader
from qrl.core.Transaction import Transaction, TransferTransaction, CoinBase, TokenTransaction, \
TransferTokenTransacti... | 61.779927 | 145 | 0.630627 | from unittest import TestCase
import simplejson as json
from mock import Mock
from pyqrllib.pyqrllib import bin2hstr
from qrl.core.misc import logger
from qrl.core.BlockHeader import BlockHeader
from qrl.core.Transaction import Transaction, TransferTransaction, CoinBase, TokenTransaction, \
TransferTokenTransacti... | true | true |
1c44a1470ed6157280477e07c867ba2749afc4e3 | 8,947 | py | Python | aggregate-reconstruction/reconstruct_aggregates.py | joncdavid/pymol-extras | 89a6a85e442892bd3c3c4e69d738673798d02efb | [
"MIT"
] | null | null | null | aggregate-reconstruction/reconstruct_aggregates.py | joncdavid/pymol-extras | 89a6a85e442892bd3c3c4e69d738673798d02efb | [
"MIT"
] | null | null | null | aggregate-reconstruction/reconstruct_aggregates.py | joncdavid/pymol-extras | 89a6a85e442892bd3c3c4e69d738673798d02efb | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
## #!/usr/bin/env python3
# filename: reconstruct_aggregates.py
# author: Jon David
# date: Wednesday, March 21, 2018
# description:
# Reads a vizmo path file are renders a subset of those
# configurations in PyMOL.
#--------------------------------------------------------------------
# notes... | 44.735 | 105 | 0.627473 |
from pymol import cmd
class PathData(object):
def __init__(self, fname, numModels):
self.stepDict = {}
self.readFile(fname, numModels)
def readFile(self, fname, numModels):
stepID = 0
with open(fname, 'r') as f:
for line in f:
modelConfigList = s... | true | true |
1c44a236c91b224f4e6cf8cf92d6dda93dbb02b4 | 341 | py | Python | lib/pool.py | Lufedi/reaper | bdf56b499e5b704c27b9f6c053d798c2a10fa4cf | [
"Apache-2.0"
] | 106 | 2015-07-21T16:18:26.000Z | 2022-03-31T06:45:34.000Z | lib/pool.py | Kowndinya2000/enhanced_repo_reaper | 744f794ba53bde5667b3b0f99b07273d0e32a495 | [
"Apache-2.0"
] | 21 | 2015-07-11T03:48:28.000Z | 2022-01-18T12:57:30.000Z | lib/pool.py | Kowndinya2000/enhanced_repo_reaper | 744f794ba53bde5667b3b0f99b07273d0e32a495 | [
"Apache-2.0"
] | 26 | 2015-07-22T22:38:21.000Z | 2022-03-14T10:11:56.000Z | import multiprocessing
import multiprocessing.pool
class NonDaemonicProcess(multiprocessing.Process):
def _get_daemon(self):
return False
def _set_daemon(self, value):
pass
daemon = property(_get_daemon, _set_daemon)
class NonDaemonicProcessPool(multiprocessing.pool.Pool):
Process ... | 20.058824 | 56 | 0.756598 | import multiprocessing
import multiprocessing.pool
class NonDaemonicProcess(multiprocessing.Process):
def _get_daemon(self):
return False
def _set_daemon(self, value):
pass
daemon = property(_get_daemon, _set_daemon)
class NonDaemonicProcessPool(multiprocessing.pool.Pool):
Process ... | true | true |
1c44a23a3372712f8db5d46c920eaa64d7901173 | 621 | py | Python | download_skipthought.py | prakashpandey9/Text2Image-PyTorch | 1cafacdc284590c30c635e7e519a5acaabd4463c | [
"MIT"
] | 28 | 2018-11-25T18:40:33.000Z | 2021-07-30T03:17:29.000Z | download_skipthought.py | prakashpandey9/Text2Image-PyTorch | 1cafacdc284590c30c635e7e519a5acaabd4463c | [
"MIT"
] | 1 | 2019-07-22T15:28:33.000Z | 2019-07-22T15:28:33.000Z | download_skipthought.py | prakashpandey9/Text2Image-PyTorch | 1cafacdc284590c30c635e7e519a5acaabd4463c | [
"MIT"
] | 4 | 2020-04-18T08:48:33.000Z | 2021-04-15T10:00:36.000Z | import os
print ('Downloading Skip-Thought Model ...........')
os.sysytem('wget http://www.cs.toronto.edu/~rkiros/models/dictionary.txt')
os.sysytem('wget http://www.cs.toronto.edu/~rkiros/models/utable.npy')
os.sysytem('wget http://www.cs.toronto.edu/~rkiros/models/btable.npy')
os.sysytem('wget http://www.cs.toronto.... | 51.75 | 76 | 0.723027 | import os
print ('Downloading Skip-Thought Model ...........')
os.sysytem('wget http://www.cs.toronto.edu/~rkiros/models/dictionary.txt')
os.sysytem('wget http://www.cs.toronto.edu/~rkiros/models/utable.npy')
os.sysytem('wget http://www.cs.toronto.edu/~rkiros/models/btable.npy')
os.sysytem('wget http://www.cs.toronto.... | true | true |
1c44a2f703726e0b57034ec9391f3a3d4cc34e07 | 5,464 | py | Python | meiduo03/meiduo03/settings/dev.py | physili/django_test | 09aa61f36e5d32f98af11057ea206dde8d082ac7 | [
"MIT"
] | 1 | 2020-04-25T04:50:30.000Z | 2020-04-25T04:50:30.000Z | meiduo03/meiduo03/settings/dev.py | physili/django_test | 09aa61f36e5d32f98af11057ea206dde8d082ac7 | [
"MIT"
] | null | null | null | meiduo03/meiduo03/settings/dev.py | physili/django_test | 09aa61f36e5d32f98af11057ea206dde8d082ac7 | [
"MIT"
] | null | null | null | """
Django settings for meiduo03 project.
Generated by 'django-admin startproject' using Django 2.2.5.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"""
import os
i... | 27.32 | 91 | 0.625 |
import os
import sys
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.insert(0, os.path.join(BASE_DIR,'apps'))
SECRET_KEY = 's5(_7x3_(ls=$_sts_6g*$arw1l7wj!yha2hz)t_$$^ua!!n!+'
DEBUG = True
ALLOWED_HOSTS = ['127.0.0.1','localhost','www.meiduo.site',]
AUTH_USER_MODEL = 'users.User'
... | true | true |
1c44a300424e00e2d85f0ffb0cabd4407222539d | 1,290 | py | Python | setup.py | tfiers/piprelease | 37bbea7788bb55408a10156e9d113a7532f20e29 | [
"MIT"
] | null | null | null | setup.py | tfiers/piprelease | 37bbea7788bb55408a10156e9d113a7532f20e29 | [
"MIT"
] | null | null | null | setup.py | tfiers/piprelease | 37bbea7788bb55408a10156e9d113a7532f20e29 | [
"MIT"
] | null | null | null | from setuptools import find_packages, setup
GITHUB_URL = "https://github.com/tfiers/puprelease"
with open("ReadMe.md", mode="r", encoding="utf-8") as f:
readme = f.read()
setup(
name="puprelease",
description="Publishing a new version of your Python package has never been easier",
author="Tomas Fier... | 31.463415 | 90 | 0.627907 | from setuptools import find_packages, setup
GITHUB_URL = "https://github.com/tfiers/puprelease"
with open("ReadMe.md", mode="r", encoding="utf-8") as f:
readme = f.read()
setup(
name="puprelease",
description="Publishing a new version of your Python package has never been easier",
author="Tomas Fier... | true | true |
1c44a48fdd16495155236d2c05304496a7bd5de7 | 840 | py | Python | Oauth/app/routers/templates.py | 837477/Oauth | 8d01a84d71563d9d510950cdb77ae67de0da2a40 | [
"MIT"
] | 2 | 2022-01-09T09:26:50.000Z | 2022-01-16T15:56:10.000Z | Oauth/app/routers/templates.py | 837477/Oauth | 8d01a84d71563d9d510950cdb77ae67de0da2a40 | [
"MIT"
] | null | null | null | Oauth/app/routers/templates.py | 837477/Oauth | 8d01a84d71563d9d510950cdb77ae67de0da2a40 | [
"MIT"
] | 1 | 2022-03-02T05:30:13.000Z | 2022-03-02T05:30:13.000Z | from fastapi import APIRouter, Request
from fastapi.templating import Jinja2Templates
from config import config
from controller.google import GoogleOauth
from controller.kakao import KakaoOauth
from controller.naver import NaverOauth
from controller.facebook import FacebookOauth
router = APIRouter()
templates = Jinja... | 27.096774 | 60 | 0.70119 | from fastapi import APIRouter, Request
from fastapi.templating import Jinja2Templates
from config import config
from controller.google import GoogleOauth
from controller.kakao import KakaoOauth
from controller.naver import NaverOauth
from controller.facebook import FacebookOauth
router = APIRouter()
templates = Jinja... | true | true |
1c44a6cdf5d3d9445c99399658fd28df0e8e2d8b | 96 | py | Python | python3/help/set1.py | jtraver/dev | c7cd2181594510a8fa27e7325566ed2d79371624 | [
"MIT"
] | null | null | null | python3/help/set1.py | jtraver/dev | c7cd2181594510a8fa27e7325566ed2d79371624 | [
"MIT"
] | null | null | null | python3/help/set1.py | jtraver/dev | c7cd2181594510a8fa27e7325566ed2d79371624 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#!/usr/bin/python
import apihelper
set1 = set()
apihelper.info(set1)
| 9.6 | 22 | 0.697917 |
import apihelper
set1 = set()
apihelper.info(set1)
| true | true |
1c44a7936b88cb93c79a780c2dc47a1095d6da76 | 1,356 | py | Python | PyEngine3D/Render/RenderOptions.py | ubuntunux/PyEngine3D | e5542b5b185e8b9b56fc4669a6f22eb06c386c4f | [
"BSD-2-Clause"
] | 121 | 2017-06-07T19:42:30.000Z | 2022-03-31T04:42:29.000Z | PyEngine3D/Render/RenderOptions.py | MatthewPChapdelaine/PyEngine3D | e5542b5b185e8b9b56fc4669a6f22eb06c386c4f | [
"BSD-2-Clause"
] | 16 | 2015-12-21T16:57:55.000Z | 2017-03-06T15:22:37.000Z | PyEngine3D/Render/RenderOptions.py | ubuntunux/GuineaPig | f32852ecbfa3ebdbba00afc466719fc78e37361c | [
"BSD-2-Clause"
] | 16 | 2018-01-15T03:12:13.000Z | 2022-03-31T04:42:41.000Z | from enum import Enum
from PyEngine3D.Common import logger
from PyEngine3D.Utilities import *
class BlendMode(Enum):
BLEND = 0
ADDITIVE = 1
MULTIPLY = 2
SUBTRACT = 3
class RenderOption:
RENDER_LIGHT_PROBE = False
RENDER_ONLY_ATMOSPHERE = False
RENDER_FONT = True
RENDER_STATIC_ACTOR ... | 21.1875 | 81 | 0.679941 | from enum import Enum
from PyEngine3D.Common import logger
from PyEngine3D.Utilities import *
class BlendMode(Enum):
BLEND = 0
ADDITIVE = 1
MULTIPLY = 2
SUBTRACT = 3
class RenderOption:
RENDER_LIGHT_PROBE = False
RENDER_ONLY_ATMOSPHERE = False
RENDER_FONT = True
RENDER_STATIC_ACTOR ... | true | true |
1c44a7add9bb2ee186aadb91834062e0c8e8fe58 | 18,039 | py | Python | r2r_src/speaker.py | MarSaKi/NvEM | a636245c96c07f3b507b69f2a9837a4ff127f4aa | [
"MIT"
] | 16 | 2021-07-16T02:00:33.000Z | 2022-03-28T03:57:11.000Z | r2r_src/speaker.py | MarSaKi/NvEM | a636245c96c07f3b507b69f2a9837a4ff127f4aa | [
"MIT"
] | null | null | null | r2r_src/speaker.py | MarSaKi/NvEM | a636245c96c07f3b507b69f2a9837a4ff127f4aa | [
"MIT"
] | 1 | 2022-01-18T09:16:46.000Z | 2022-01-18T09:16:46.000Z | import torch
import numpy as np
from param import args
import os
import utils
import model
import torch.nn.functional as F
import time
class Speaker():
env_actions = {
'left': (0,-1, 0), # left
'right': (0, 1, 0), # right
'up': (0, 0, 1), # up
'down': (0, 0,-1), # down
'for... | 43.890511 | 144 | 0.543489 | import torch
import numpy as np
from param import args
import os
import utils
import model
import torch.nn.functional as F
import time
class Speaker():
env_actions = {
'left': (0,-1, 0), 'right': (0, 1, 0), 'up': (0, 0, 1), 'down': (0, 0,-1), 'forward': (1, 0, 0), '... | true | true |
1c44a87a151e7c36edf8003106e7947c0ba32f65 | 48,907 | py | Python | promgen/views.py | XILEF-Labs/promgen | f93b395df6e17a387edb9c4fcb431b10ce0a80cc | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | promgen/views.py | XILEF-Labs/promgen | f93b395df6e17a387edb9c4fcb431b10ce0a80cc | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | promgen/views.py | XILEF-Labs/promgen | f93b395df6e17a387edb9c4fcb431b10ce0a80cc | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2017 LINE Corporation
# These sources are released under the terms of the MIT license: see LICENSE
import collections
import concurrent.futures
import datetime
import json
import logging
import platform
import time
from itertools import chain
import prometheus_client
import requests
from prometheus_cl... | 36.79985 | 147 | 0.631566 |
import collections
import concurrent.futures
import datetime
import json
import logging
import platform
import time
from itertools import chain
import prometheus_client
import requests
from prometheus_client.core import CounterMetricFamily, GaugeMetricFamily
from django.contrib import messages
from django.contrib.au... | true | true |
1c44a983770db16ec1a6f33dad6de70d9d9f5c16 | 5,443 | py | Python | build/update_version.py | ruanyijian/QRCodeScanner | de3df01dec09a662d035dd43091dd024b322daf0 | [
"MIT"
] | 1 | 2019-03-07T14:07:59.000Z | 2019-03-07T14:07:59.000Z | build/update_version.py | ruanyijian/QRCodeScanner | de3df01dec09a662d035dd43091dd024b322daf0 | [
"MIT"
] | null | null | null | build/update_version.py | ruanyijian/QRCodeScanner | de3df01dec09a662d035dd43091dd024b322daf0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import xml.etree.cElementTree as etree
import datetime
TARGET_SRC_ROOT = "../src"
TARGET_PROJECT_NAMES = ["organic"]
TARGET_PLIST_FILES = ["Info.plist"]
DEBUG_ENABLE = False
def get_value_node_by_key(dict_node, key):
key_node = None
value_node = None
... | 28.497382 | 107 | 0.693184 |
import os
import xml.etree.cElementTree as etree
import datetime
TARGET_SRC_ROOT = "../src"
TARGET_PROJECT_NAMES = ["organic"]
TARGET_PLIST_FILES = ["Info.plist"]
DEBUG_ENABLE = False
def get_value_node_by_key(dict_node, key):
key_node = None
value_node = None
for key_value_node in dict_node:
tex... | true | true |
1c44aa3d721e63405060a14d3289a34802de3b56 | 336 | py | Python | Python/widest-vertical-area-between-two-points-containing-no-points.py | sm2774us/leetcode_interview_prep_2021 | 33b41bea66c266b733372d9a8b9d2965cd88bf8c | [
"Fair"
] | null | null | null | Python/widest-vertical-area-between-two-points-containing-no-points.py | sm2774us/leetcode_interview_prep_2021 | 33b41bea66c266b733372d9a8b9d2965cd88bf8c | [
"Fair"
] | null | null | null | Python/widest-vertical-area-between-two-points-containing-no-points.py | sm2774us/leetcode_interview_prep_2021 | 33b41bea66c266b733372d9a8b9d2965cd88bf8c | [
"Fair"
] | null | null | null | # Time: O(nlogn)
# Space: O(n)
import itertools
class Solution(object):
def maxWidthOfVerticalArea(self, points):
"""
:type points: List[List[int]]
:rtype: int
"""
sorted_x = sorted({x for x, y in points})
return max([b-a for a, b in itertools.zip(sorted_x, sorted... | 22.4 | 81 | 0.568452 |
import itertools
class Solution(object):
def maxWidthOfVerticalArea(self, points):
sorted_x = sorted({x for x, y in points})
return max([b-a for a, b in itertools.zip(sorted_x, sorted_x[1:])] + [0])
| true | true |
1c44aa96dbe8157f19e95301eb7b709329e47002 | 380 | py | Python | engine/src/hopeit/testing/__init__.py | pcanto-hopeit/hopeit.engine | c17b0438e56940a4d1b2f071cca90ae8b6f70629 | [
"Apache-2.0"
] | 15 | 2020-07-09T17:41:14.000Z | 2021-10-04T20:13:08.000Z | engine/src/hopeit/testing/__init__.py | pcanto-hopeit/hopeit.engine | c17b0438e56940a4d1b2f071cca90ae8b6f70629 | [
"Apache-2.0"
] | 48 | 2020-07-10T15:16:17.000Z | 2022-03-03T19:46:46.000Z | engine/src/hopeit/testing/__init__.py | pcanto-hopeit/hopeit.engine | c17b0438e56940a4d1b2f071cca90ae8b6f70629 | [
"Apache-2.0"
] | 3 | 2020-07-08T20:12:58.000Z | 2021-01-10T15:57:21.000Z | """
hopeit.engine testing module
Provides utilities to test and write unit or integration tests for App Events:
* **apps**: load config and execute app events for testing behaviour. Allows execution
of events without starting a server.
* **encryption**: provides data encryption for tests. Useful to test... | 31.666667 | 90 | 0.705263 | __all__ = ['apps',
'encryption']
| true | true |
1c44ab3987f668f224f7607d88fa170256a0b39a | 661 | py | Python | 6 Web Page with Flask/basic page/script1.py | mself9/pythonteachingcode | 45da22291ef38fa4cc971bc196e9bba968b9fe9e | [
"MIT"
] | null | null | null | 6 Web Page with Flask/basic page/script1.py | mself9/pythonteachingcode | 45da22291ef38fa4cc971bc196e9bba968b9fe9e | [
"MIT"
] | null | null | null | 6 Web Page with Flask/basic page/script1.py | mself9/pythonteachingcode | 45da22291ef38fa4cc971bc196e9bba968b9fe9e | [
"MIT"
] | null | null | null | from flask import Flask, render_template, request
app=Flask(__name__)
@app.route('/greet', methods=['POST'])
def greet():
inputName = request.form['myName']
ip = request.remote_addr
#write data to file or to DB
inputName = inputName.upper()+" hi! Visiting from " + str(ip)
return render_temp... | 26.44 | 67 | 0.652042 | from flask import Flask, render_template, request
app=Flask(__name__)
@app.route('/greet', methods=['POST'])
def greet():
inputName = request.form['myName']
ip = request.remote_addr
inputName = inputName.upper()+" hi! Visiting from " + str(ip)
return render_template("home.html",myName=inputN... | true | true |
1c44adf778926c615954fa37210f146b492819bd | 573 | py | Python | active_directory2/log.py | tjguk/active_directory2 | 0338ea9ea168fd37869689c108fe08f716408c95 | [
"MIT"
] | 2 | 2016-05-30T14:15:42.000Z | 2021-05-15T03:26:22.000Z | active_directory2/log.py | tjguk/active_directory2 | 0338ea9ea168fd37869689c108fe08f716408c95 | [
"MIT"
] | null | null | null | active_directory2/log.py | tjguk/active_directory2 | 0338ea9ea168fd37869689c108fe08f716408c95 | [
"MIT"
] | null | null | null | import os, sys
import logging
formatter = logging.Formatter ("[%(levelname)s] %(module)s.%(funcName)s: %(message)s")
logger = logging.getLogger ("active_directory2")
logger.setLevel (logging.DEBUG)
stderr_handler = logging.StreamHandler (sys.stderr)
stderr_handler.setLevel (logging.WARN)
stderr_handler.setFo... | 33.705882 | 87 | 0.77836 | import os, sys
import logging
formatter = logging.Formatter ("[%(levelname)s] %(module)s.%(funcName)s: %(message)s")
logger = logging.getLogger ("active_directory2")
logger.setLevel (logging.DEBUG)
stderr_handler = logging.StreamHandler (sys.stderr)
stderr_handler.setLevel (logging.WARN)
stderr_handler.setFo... | true | true |
1c44ae6d5a623af6a8eb72eb8c395b5f3d6c50e0 | 146 | py | Python | travis_test/__init__.py | Fixdq/Pagination | 3497bc72f1a010c382c7ca686d50dc95566f0a96 | [
"MIT"
] | 1 | 2019-02-19T06:04:50.000Z | 2019-02-19T06:04:50.000Z | travis_test/__init__.py | Fixdq/pagination | 3497bc72f1a010c382c7ca686d50dc95566f0a96 | [
"MIT"
] | null | null | null | travis_test/__init__.py | Fixdq/pagination | 3497bc72f1a010c382c7ca686d50dc95566f0a96 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Time : 18-7-26 上午12:01
# @Author : fixdq
# @File : __init__.py.py
# @Software: PyCharm
| 16.222222 | 28 | 0.568493 | true | true | |
1c44aeadb7721c811d2848f1f8dd459a92307775 | 294 | py | Python | rss_scrapper/tasks/dummy.py | abrioy/rss_scrapper | b4778ae922ca7e2ef3a7720dc1c69eafffccf0af | [
"MIT"
] | null | null | null | rss_scrapper/tasks/dummy.py | abrioy/rss_scrapper | b4778ae922ca7e2ef3a7720dc1c69eafffccf0af | [
"MIT"
] | null | null | null | rss_scrapper/tasks/dummy.py | abrioy/rss_scrapper | b4778ae922ca7e2ef3a7720dc1c69eafffccf0af | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import logging
from rss_scrapper.tasks.task import Task
logger = logging.getLogger(__name__)
class DummyTask(Task):
name = "dummy"
def init(self):
pass
def init_conf(self, conf):
pass
def do_execute(self, data):
yield data
| 14.7 | 40 | 0.62585 | import logging
from rss_scrapper.tasks.task import Task
logger = logging.getLogger(__name__)
class DummyTask(Task):
name = "dummy"
def init(self):
pass
def init_conf(self, conf):
pass
def do_execute(self, data):
yield data
| true | true |
1c44aec2f19d1cb0ee064b23305e2fcaf8df3269 | 10,034 | py | Python | test/data/test_modules.py | abhinavarora/text | 69f67f3a775f3d3c6f85cfaa4ac3819500b90696 | [
"BSD-3-Clause"
] | 1 | 2022-01-03T17:30:57.000Z | 2022-01-03T17:30:57.000Z | test/data/test_modules.py | abhinavarora/text | 69f67f3a775f3d3c6f85cfaa4ac3819500b90696 | [
"BSD-3-Clause"
] | null | null | null | test/data/test_modules.py | abhinavarora/text | 69f67f3a775f3d3c6f85cfaa4ac3819500b90696 | [
"BSD-3-Clause"
] | null | null | null | import torch
from torch.nn import Linear
from torch.nn.functional import multi_head_attention_forward as mha_forward
from torchtext.nn import InProjContainer, MultiheadAttentionContainer, ScaledDotProduct
from ..common.torchtext_test_case import TorchtextTestCase
class TestModels(TorchtextTestCase):
def test_mul... | 44.794643 | 119 | 0.607435 | import torch
from torch.nn import Linear
from torch.nn.functional import multi_head_attention_forward as mha_forward
from torchtext.nn import InProjContainer, MultiheadAttentionContainer, ScaledDotProduct
from ..common.torchtext_test_case import TorchtextTestCase
class TestModels(TorchtextTestCase):
def test_mul... | true | true |
1c44af7b481705d54dd67e7ed0c411ed35f66a39 | 9,372 | py | Python | docs/conf.py | MasterScott/pem | 9d910ab8b5d1b965ad696ddb19060d100dd6aba6 | [
"MIT"
] | 89 | 2015-01-31T20:54:34.000Z | 2022-03-09T08:24:43.000Z | docs/conf.py | MasterScott/pem | 9d910ab8b5d1b965ad696ddb19060d100dd6aba6 | [
"MIT"
] | 41 | 2015-01-13T14:46:20.000Z | 2021-04-07T15:01:29.000Z | docs/conf.py | MasterScott/pem | 9d910ab8b5d1b965ad696ddb19060d100dd6aba6 | [
"MIT"
] | 32 | 2015-01-09T20:45:11.000Z | 2021-04-23T13:30:54.000Z | # -*- coding: utf-8 -*-
#
# pem documentation build configuration file, created by
# sphinx-quickstart on Thu Jul 9 13:12:00 2015.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All c... | 31.662162 | 79 | 0.705079 |
import pem
try:
import sphinx_rtd_theme
except ImportError:
sphinx_rtd_theme = None
linkcheck_ignore = [
r"https://github.com/.*/(issues|pull)/\d+",
]
extensions = [
"sphinx.ext.autodoc",
"sphinx.ext.doctest",
"sphinx.ext.intersphinx",
]
templates_path = ["_templates"]
source_suffix =... | true | true |
1c44afe65f59be39bef35bdf6165a67aa4f650fc | 92 | py | Python | app/auth/__init__.py | Bernicetwili/Pitch | 35d49df19eaff05bff77af1e4c71e155165c74ad | [
"MIT"
] | null | null | null | app/auth/__init__.py | Bernicetwili/Pitch | 35d49df19eaff05bff77af1e4c71e155165c74ad | [
"MIT"
] | null | null | null | app/auth/__init__.py | Bernicetwili/Pitch | 35d49df19eaff05bff77af1e4c71e155165c74ad | [
"MIT"
] | null | null | null | from flask import Blueprint
from . import views,forms
auth = Blueprint('auth',__name__)
| 11.5 | 33 | 0.75 | from flask import Blueprint
from . import views,forms
auth = Blueprint('auth',__name__)
| true | true |
1c44b02f6ceca7ed58c6127bce66e10cd451cce5 | 3,984 | py | Python | CLIDice.py | DNEAVES/CLIDice | d1cd7b069ea892f4747fc21da3e6623f2ecdacc7 | [
"MIT"
] | null | null | null | CLIDice.py | DNEAVES/CLIDice | d1cd7b069ea892f4747fc21da3e6623f2ecdacc7 | [
"MIT"
] | null | null | null | CLIDice.py | DNEAVES/CLIDice | d1cd7b069ea892f4747fc21da3e6623f2ecdacc7 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3.10
import sys
import random
import re
from pprint import pprint
from Print.help import dice_help
from Print.help2 import dice_help_two
from Print.credits import dice_credits
standard_dice = [2, 4, 6, 8, 10, 00, 12, 20, 30, 100]
def roll(dice: int, idv_mod: int, ignore_zero: bool = False):
... | 30.181818 | 91 | 0.490462 |
import sys
import random
import re
from pprint import pprint
from Print.help import dice_help
from Print.help2 import dice_help_two
from Print.credits import dice_credits
standard_dice = [2, 4, 6, 8, 10, 00, 12, 20, 30, 100]
def roll(dice: int, idv_mod: int, ignore_zero: bool = False):
if dice != 00:
d... | true | true |
1c44b16a40d680be969d40f8ef3debeda1405080 | 7,935 | py | Python | 2019-2020/Lato/Sztuczna Inteligencja/Lista01/zad5.py | ldept/University | f5ec29dd1daa1c9dc2d1592c0ddab575146e80ee | [
"FTL"
] | null | null | null | 2019-2020/Lato/Sztuczna Inteligencja/Lista01/zad5.py | ldept/University | f5ec29dd1daa1c9dc2d1592c0ddab575146e80ee | [
"FTL"
] | null | null | null | 2019-2020/Lato/Sztuczna Inteligencja/Lista01/zad5.py | ldept/University | f5ec29dd1daa1c9dc2d1592c0ddab575146e80ee | [
"FTL"
] | null | null | null | import random
from zad4 import opt_dist
def print_nonogram(nonogram):
print(" ", end='')
for i in range(len(nonogram)):
print(col_numbers[i], end='')
print()
for index, row in enumerate(nonogram):
print(row_numbers[index], end='')
for col in row:
print("#" if col==1 ... | 40.075758 | 148 | 0.616761 | import random
from zad4 import opt_dist
def print_nonogram(nonogram):
print(" ", end='')
for i in range(len(nonogram)):
print(col_numbers[i], end='')
print()
for index, row in enumerate(nonogram):
print(row_numbers[index], end='')
for col in row:
print("#" if col==1 ... | true | true |
1c44b1733cd51ce1847605ee462170363bfdd49d | 1,671 | py | Python | post/models.py | bluesky0960/MiniProject1-DjangoWebApp_n | 368457dfde8ba6601b82ff218aa3bb3eed639a5a | [
"MIT"
] | null | null | null | post/models.py | bluesky0960/MiniProject1-DjangoWebApp_n | 368457dfde8ba6601b82ff218aa3bb3eed639a5a | [
"MIT"
] | null | null | null | post/models.py | bluesky0960/MiniProject1-DjangoWebApp_n | 368457dfde8ba6601b82ff218aa3bb3eed639a5a | [
"MIT"
] | null | null | null | from email.policy import default
from django.db import models
from ckeditor.fields import RichTextField
from tagging.fields import TagField
from django.conf import settings
class Post(models.Model):
user = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE)
author = models.CharField(m... | 34.102041 | 100 | 0.701376 | from email.policy import default
from django.db import models
from ckeditor.fields import RichTextField
from tagging.fields import TagField
from django.conf import settings
class Post(models.Model):
user = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE)
author = models.CharField(m... | true | true |
1c44b2b95aa8c78f49081c3ed36d75f8f3b16d67 | 4,321 | py | Python | data/process_data.py | akiaohk/Udacity-Disaster-Response-Pipelines | 9a6042a0d288381c1310de1948121bccf647f418 | [
"RSA-MD"
] | null | null | null | data/process_data.py | akiaohk/Udacity-Disaster-Response-Pipelines | 9a6042a0d288381c1310de1948121bccf647f418 | [
"RSA-MD"
] | null | null | null | data/process_data.py | akiaohk/Udacity-Disaster-Response-Pipelines | 9a6042a0d288381c1310de1948121bccf647f418 | [
"RSA-MD"
] | null | null | null | """
Project: Disaster Response Pipeline
Script Syntax for execution:
> python process_data.py <path to messages csv file> <path to categories csv file> <path to sqllite destination db>
> python process_data.py disaster_messages.csv disaster_categories.csv DisasterResponse.db
"""
# Import libraries
import sys
import ... | 35.130081 | 124 | 0.674612 |
import sys
import pandas as pd
import sqlite3
from sqlalchemy import create_engine
def load_data(messages_filepath, categories_filepath):
messages = pd.read_csv(messages_filepath)
categories = pd.read_csv(categories_filepath)
df = messages.merge(categories, on = ['id'])
return df
... | true | true |
1c44b2d75035252cf0824ee80a4607398785d535 | 148 | py | Python | tests/context.py | tetio/green_snake | 014d5cf4c96858abb09ee1a4bda0ee84b80b5666 | [
"BSD-2-Clause"
] | null | null | null | tests/context.py | tetio/green_snake | 014d5cf4c96858abb09ee1a4bda0ee84b80b5666 | [
"BSD-2-Clause"
] | null | null | null | tests/context.py | tetio/green_snake | 014d5cf4c96858abb09ee1a4bda0ee84b80b5666 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
import green_snake | 21.142857 | 82 | 0.689189 |
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
import green_snake | true | true |
1c44b32a5d9cf46b962dd89bdbf7c6993962dd46 | 9,077 | py | Python | convokit/politeness_collections/politeness_api/features/politeness_strategies.py | CornellNLP/Cornell-Conversational-Analysis-Toolkit | 0bc4d1a4baf25eec0861440dc3166c60d4cbe339 | [
"MIT"
] | 371 | 2016-07-19T22:10:13.000Z | 2022-03-28T08:04:32.000Z | convokit/politeness_collections/politeness_api/features/politeness_strategies.py | CornellNLP/Cornell-Conversational-Analysis-Toolkit | 0bc4d1a4baf25eec0861440dc3166c60d4cbe339 | [
"MIT"
] | 92 | 2017-07-25T22:04:11.000Z | 2022-03-29T13:46:07.000Z | convokit/politeness_collections/politeness_api/features/politeness_strategies.py | CornellNLP/Cornell-Conversational-Analysis-Toolkit | 0bc4d1a4baf25eec0861440dc3166c60d4cbe339 | [
"MIT"
] | 105 | 2016-07-04T15:04:53.000Z | 2022-03-30T01:36:38.000Z | import pkg_resources
import os
#####
# Word lists
hedges = [
"think", "thought", "thinking", "almost",
"apparent", "apparently", "appear", "appeared", "appears", "approximately", "around",
"assume", "assumed", "certain amount", "certain extent", "certain level", "claim",
"claimed", "doubt", "doubtful"... | 39.125 | 157 | 0.577393 | import pkg_resources
import os
hedges = [
"think", "thought", "thinking", "almost",
"apparent", "apparently", "appear", "appeared", "appears", "approximately", "around",
"assume", "assumed", "certain amount", "certain extent", "certain level", "claim",
"claimed", "doubt", "doubtful", "essentially", "e... | true | true |
1c44b3943158b819f95a2467b6baf9a67b1af264 | 4,385 | py | Python | 33RL/02maze/maze_env.py | cheerfulwang/python-tutorial | d0f7348e1da4ff954e3add66e1aae55d599283ee | [
"Apache-2.0"
] | 2 | 2021-01-04T10:44:44.000Z | 2022-02-13T07:53:41.000Z | 33RL/02maze/maze_env.py | zm79287/python-tutorial | d0f7348e1da4ff954e3add66e1aae55d599283ee | [
"Apache-2.0"
] | null | null | null | 33RL/02maze/maze_env.py | zm79287/python-tutorial | d0f7348e1da4ff954e3add66e1aae55d599283ee | [
"Apache-2.0"
] | 2 | 2020-11-23T08:58:51.000Z | 2022-02-13T07:53:42.000Z | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
"""
Reinforcement learning maze example.
Red rectangle: explorer.
Black rectangles: hells [reward = -1].
Yellow bin circle: paradise [reward = +1].
All other states: ground [reward = 0].
This script ... | 29.039735 | 84 | 0.51927 |
import numpy as np
import time
import sys
if sys.version_info.major == 2:
import Tkinter as tk
else:
import tkinter as tk
UNIT = 40 MAZE_H = 4 MAZE_W = 4
class Maze(tk.Tk, object):
def __init__(self):
super(Maze, self).__init__()
self.action_space = ['u', 'd', 'l', 'r']
se... | true | true |
1c44b5b492fbfda587fd4612218f612dc17333a7 | 1,124 | py | Python | fuzzysort.py | TylerZeroMaster/Fuzzysorting | fc894707dd3af001e809fcdad83170b1963fbab4 | [
"MIT"
] | null | null | null | fuzzysort.py | TylerZeroMaster/Fuzzysorting | fc894707dd3af001e809fcdad83170b1963fbab4 | [
"MIT"
] | null | null | null | fuzzysort.py | TylerZeroMaster/Fuzzysorting | fc894707dd3af001e809fcdad83170b1963fbab4 | [
"MIT"
] | null | null | null | from random import randint
from time import time
from array import array
def clock():
start = time()
while 1:
yield time() - start
def bubble_sort(a):
n = len(a)
while n != 0:
newn = 0
i = 1
while i < n:
fir = a[i - 1]
if fir > a[i]:
... | 22.039216 | 67 | 0.456406 | from random import randint
from time import time
from array import array
def clock():
start = time()
while 1:
yield time() - start
def bubble_sort(a):
n = len(a)
while n != 0:
newn = 0
i = 1
while i < n:
fir = a[i - 1]
if fir > a[i]:
... | true | true |
1c44b6516f38798433717035c3debbc803b324b5 | 1,566 | py | Python | src/rl/AtariAgent.py | fronovics/AI_playground | ac302c0694fa2182af343c257b28a033bc4cf5b9 | [
"Apache-2.0"
] | null | null | null | src/rl/AtariAgent.py | fronovics/AI_playground | ac302c0694fa2182af343c257b28a033bc4cf5b9 | [
"Apache-2.0"
] | null | null | null | src/rl/AtariAgent.py | fronovics/AI_playground | ac302c0694fa2182af343c257b28a033bc4cf5b9 | [
"Apache-2.0"
] | null | null | null | import random
import numpy as np
import gym
import cv2
from random import random
from src.rl.ReplayMemory import ReplayMemory
class AtariAgent(object):
def __init__(self, env: gym.Env, net, config):
self.mem = ReplayMemory(config)
self.env = env
self.net = net
self.eps = config['e... | 27.964286 | 78 | 0.57599 | import random
import numpy as np
import gym
import cv2
from random import random
from src.rl.ReplayMemory import ReplayMemory
class AtariAgent(object):
def __init__(self, env: gym.Env, net, config):
self.mem = ReplayMemory(config)
self.env = env
self.net = net
self.eps = config['e... | true | true |
1c44b8d5c17ebb7a41d93d6912bd998e1d2841bf | 4,284 | py | Python | src/models/model_lightning.py | granatb/mlops_handin | b0992be9667bf7f1e226efd0174289327a548efb | [
"MIT"
] | null | null | null | src/models/model_lightning.py | granatb/mlops_handin | b0992be9667bf7f1e226efd0174289327a548efb | [
"MIT"
] | null | null | null | src/models/model_lightning.py | granatb/mlops_handin | b0992be9667bf7f1e226efd0174289327a548efb | [
"MIT"
] | null | null | null | import os
import sys
from typing import Callable, List, Optional, Tuple, Union
import matplotlib.pyplot as plt # type: ignore
import pytorch_lightning as pl
import torch
import torch.nn.functional as F
from pytorch_lightning import loggers
from torch import nn
from torch.utils.data import Dataset
sys.path.insert(1, ... | 31.733333 | 88 | 0.65056 | import os
import sys
from typing import Callable, List, Optional, Tuple, Union
import matplotlib.pyplot as plt import pytorch_lightning as pl
import torch
import torch.nn.functional as F
from pytorch_lightning import loggers
from torch import nn
from torch.utils.data import Dataset
sys.path.insert(1, os.path.join(sy... | true | true |
1c44b965ae0544a2d5f9e1d40e2c8c42d789fbb0 | 13,724 | py | Python | models/resnet.py | eyov7/CV_LTH_Pre-training-LLNL | bb18ba2093328aeb4e5ab3929f2749264ef3c981 | [
"MIT"
] | 47 | 2020-12-15T03:40:50.000Z | 2022-03-30T03:38:29.000Z | models/resnet.py | eyov7/CV_LTH_Pre-training-LLNL | bb18ba2093328aeb4e5ab3929f2749264ef3c981 | [
"MIT"
] | null | null | null | models/resnet.py | eyov7/CV_LTH_Pre-training-LLNL | bb18ba2093328aeb4e5ab3929f2749264ef3c981 | [
"MIT"
] | 10 | 2021-03-17T01:28:57.000Z | 2022-02-24T20:23:57.000Z | import torch
import torch.nn as nn
from advertorch.utils import NormalizeByChannelMeanStd
from torchvision.models.utils import load_state_dict_from_url
__all__ = ['ResNet', 'resnet18', 'resnet34', 'resnet50', 'resnet101',
'resnet152', 'resnext50_32x4d', 'resnext101_32x8d',
'wide_resnet50_2', 'wide_res... | 38.659155 | 107 | 0.634509 | import torch
import torch.nn as nn
from advertorch.utils import NormalizeByChannelMeanStd
from torchvision.models.utils import load_state_dict_from_url
__all__ = ['ResNet', 'resnet18', 'resnet34', 'resnet50', 'resnet101',
'resnet152', 'resnext50_32x4d', 'resnext101_32x8d',
'wide_resnet50_2', 'wide_res... | true | true |
1c44ba1d050a5c452efb2e0f80a6341a0cd138e5 | 13,908 | py | Python | open_spiel/python/rl_environment.py | antonevenepoel/open_spiel | f2f0c786410018675fc40e9a5b82c40814555fa8 | [
"Apache-2.0"
] | null | null | null | open_spiel/python/rl_environment.py | antonevenepoel/open_spiel | f2f0c786410018675fc40e9a5b82c40814555fa8 | [
"Apache-2.0"
] | null | null | null | open_spiel/python/rl_environment.py | antonevenepoel/open_spiel | f2f0c786410018675fc40e9a5b82c40814555fa8 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 DeepMind Technologies Ltd. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | 36.124675 | 80 | 0.704774 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
from absl import logging
import enum
import numpy as np
import pyspiel
SIMULTANEOUS_PLAYER_ID = pyspiel.PlayerId.SIMULTANEOUS
class TimeStep(
collections.namedtuple(
"TimeS... | true | true |
1c44bc896af0886897c2340327fd5e82882c9c91 | 467 | py | Python | malcolm/modules/builtin/parts/float64part.py | MattTaylorDLS/pymalcolm | 995a8e4729bd745f8f617969111cc5a34ce1ac14 | [
"Apache-2.0"
] | null | null | null | malcolm/modules/builtin/parts/float64part.py | MattTaylorDLS/pymalcolm | 995a8e4729bd745f8f617969111cc5a34ce1ac14 | [
"Apache-2.0"
] | null | null | null | malcolm/modules/builtin/parts/float64part.py | MattTaylorDLS/pymalcolm | 995a8e4729bd745f8f617969111cc5a34ce1ac14 | [
"Apache-2.0"
] | null | null | null | from malcolm.core import method_also_takes
from malcolm.modules.builtin.vmetas import NumberMeta
from .attributepart import AttributePart
@method_also_takes(
"initialValue", NumberMeta("float64", "Initial value of attribute"), 0.0,
)
class Float64Part(AttributePart):
def get_initial_value(self):
retur... | 31.133333 | 77 | 0.768737 | from malcolm.core import method_also_takes
from malcolm.modules.builtin.vmetas import NumberMeta
from .attributepart import AttributePart
@method_also_takes(
"initialValue", NumberMeta("float64", "Initial value of attribute"), 0.0,
)
class Float64Part(AttributePart):
def get_initial_value(self):
retur... | true | true |
1c44bde50b8bbe235553d6be40f12534a7ddeb26 | 15,857 | py | Python | test_reporting/junit_xml_parser.py | vkuma82/sonic-mgmt | 131764317fe590141b6fa38fc60f243b43bf616c | [
"Apache-2.0"
] | 1 | 2021-09-15T17:06:16.000Z | 2021-09-15T17:06:16.000Z | test_reporting/junit_xml_parser.py | vkuma82/sonic-mgmt | 131764317fe590141b6fa38fc60f243b43bf616c | [
"Apache-2.0"
] | null | null | null | test_reporting/junit_xml_parser.py | vkuma82/sonic-mgmt | 131764317fe590141b6fa38fc60f243b43bf616c | [
"Apache-2.0"
] | null | null | null | """Utilities for validating and parsing JUnit XML files generated by Pytest and Spytest.
This library/script should work for any test result XML file generated by Pytest or Spytest.
CLI Usage:
% python3 junit_xml_parser.py -h
usage: junit_xml_parser.py [-h] [--validate-only] [--compact] [--output-file OUTPUT_FILE] fi... | 32.627572 | 122 | 0.648483 | import argparse
import glob
import json
import sys
import os
from collections import defaultdict
from datetime import datetime
import defusedxml.ElementTree as ET
TEST_REPORT_CLIENT_VERSION = (1, 1, 0)
MAXIMUM_XML_SIZE = 20e7 MAXIMUM_SUMMARY_SIZE = 1024
TESTSUITE_TAG = "testsuite"
REQUIRED_TESTSUITE_ATTRIBUTES ... | true | true |
1c44be78f0de124dc36c88eff98e426707185e4e | 614 | py | Python | src/coincheck/withdraw.py | coincheckjp/coincheck-python | 85e8f9a9b9245e047a95cd33615284259e9ba399 | [
"MIT"
] | 46 | 2017-03-29T00:18:00.000Z | 2022-03-19T12:55:43.000Z | coincheck/withdraw.py | gamma-github/cryptCurrency | efb67f3a4ba0819224f73fefec53dfadcc2cbf78 | [
"MIT"
] | 3 | 2017-08-04T05:31:29.000Z | 2018-08-09T06:42:25.000Z | coincheck/withdraw.py | gamma-github/cryptCurrency | efb67f3a4ba0819224f73fefec53dfadcc2cbf78 | [
"MIT"
] | 21 | 2017-03-11T14:31:09.000Z | 2021-01-07T02:07:41.000Z | from coincheck.servicebase import ServiceBase
class Withdraw(ServiceBase):
baseUrl = '/api/withdraws'
def create(self, params = {}):
return self.coinCheck.request(ServiceBase.METHOD_POST, self.baseUrl, params)
def all(self, params = {}):
return self.coinCheck.request(ServiceBase.METHO... | 34.111111 | 112 | 0.640065 | from coincheck.servicebase import ServiceBase
class Withdraw(ServiceBase):
baseUrl = '/api/withdraws'
def create(self, params = {}):
return self.coinCheck.request(ServiceBase.METHOD_POST, self.baseUrl, params)
def all(self, params = {}):
return self.coinCheck.request(ServiceBase.METHO... | true | true |
1c44c0e71ba8b171137bece871c14f3ee1b13891 | 592 | py | Python | qingmi/__about__.py | xiongxianzhu/qingmi | ae5a446abec3982ebf2c5dde8546ef72f9453137 | [
"BSD-3-Clause"
] | 20 | 2018-05-22T09:29:40.000Z | 2020-12-11T04:53:15.000Z | qingmi/__about__.py | xiongxianzhu/qingmi | ae5a446abec3982ebf2c5dde8546ef72f9453137 | [
"BSD-3-Clause"
] | 65 | 2019-03-07T02:43:06.000Z | 2021-01-07T03:43:52.000Z | qingmi/__about__.py | xiongxianzhu/qingmi | ae5a446abec3982ebf2c5dde8546ef72f9453137 | [
"BSD-3-Clause"
] | 6 | 2019-03-08T06:39:47.000Z | 2021-07-01T11:02:56.000Z | __name__ = 'qingmi'
__description__ = 'Common modules and toolsets for rapid and efficient development of flask Web.'
__url__ = 'https://github.com/xiongxianzhu/qingmi'
__version_info__ = ('0', '1', '4')
__version__ = '.'.join(__version_info__)
__fullname__ = '-'.join((__name__, __version__))
__author__ = 'zhuxiongxian... | 42.285714 | 97 | 0.765203 | __name__ = 'qingmi'
__description__ = 'Common modules and toolsets for rapid and efficient development of flask Web.'
__url__ = 'https://github.com/xiongxianzhu/qingmi'
__version_info__ = ('0', '1', '4')
__version__ = '.'.join(__version_info__)
__fullname__ = '-'.join((__name__, __version__))
__author__ = 'zhuxiongxian... | true | true |
1c44c145c66898134fa0294e53de15df16edc466 | 3,992 | py | Python | youtube_dl/extractor/veoh.py | hackarada/youtube-dl | 2ba46715a41fe074eab2221170b2ac78fab93fad | [
"Unlicense"
] | 66,635 | 2019-03-10T21:34:18.000Z | 2022-03-31T23:50:31.000Z | youtube_dl/extractor/veoh.py | hackarada/youtube-dl | 2ba46715a41fe074eab2221170b2ac78fab93fad | [
"Unlicense"
] | 10,936 | 2019-03-10T21:35:47.000Z | 2022-03-31T23:46:52.000Z | youtube_dl/extractor/veoh.py | hackarada/youtube-dl | 2ba46715a41fe074eab2221170b2ac78fab93fad | [
"Unlicense"
] | 15,194 | 2019-03-10T21:09:27.000Z | 2022-03-31T22:13:49.000Z | from __future__ import unicode_literals
from .common import InfoExtractor
from ..utils import (
int_or_none,
parse_duration,
qualities,
)
class VeohIE(InfoExtractor):
_VALID_URL = r'https?://(?:www\.)?veoh\.com/(?:watch|embed|iphone/#_Watch)/(?P<id>(?:v|e|yapi-)[\da-zA-Z]+)'
_TESTS = [{
... | 38.384615 | 270 | 0.549098 | from __future__ import unicode_literals
from .common import InfoExtractor
from ..utils import (
int_or_none,
parse_duration,
qualities,
)
class VeohIE(InfoExtractor):
_VALID_URL = r'https?://(?:www\.)?veoh\.com/(?:watch|embed|iphone/#_Watch)/(?P<id>(?:v|e|yapi-)[\da-zA-Z]+)'
_TESTS = [{
... | true | true |
1c44c19e674fd96d888109c3073edd9787436023 | 3,193 | py | Python | annotation/management/commands/fix_annotation_link_transcripts.py | SACGF/variantgrid | 515195e2f03a0da3a3e5f2919d8e0431babfd9c9 | [
"RSA-MD"
] | 5 | 2021-01-14T03:34:42.000Z | 2022-03-07T15:34:18.000Z | annotation/management/commands/fix_annotation_link_transcripts.py | SACGF/variantgrid | 515195e2f03a0da3a3e5f2919d8e0431babfd9c9 | [
"RSA-MD"
] | 551 | 2020-10-19T00:02:38.000Z | 2022-03-30T02:18:22.000Z | annotation/management/commands/fix_annotation_link_transcripts.py | SACGF/variantgrid | 515195e2f03a0da3a3e5f2919d8e0431babfd9c9 | [
"RSA-MD"
] | null | null | null | #!/usr/bin/env python3
import logging
from django.core.management.base import BaseCommand
from django.db.models import Q, Func, Value, F
from annotation.models import VariantAnnotation, VariantTranscriptAnnotation, VariantAnnotationVersion, \
TranscriptVersion, defaultdict
from snpdb.models.models_genome import ... | 54.118644 | 122 | 0.656123 |
import logging
from django.core.management.base import BaseCommand
from django.db.models import Q, Func, Value, F
from annotation.models import VariantAnnotation, VariantTranscriptAnnotation, VariantAnnotationVersion, \
TranscriptVersion, defaultdict
from snpdb.models.models_genome import GenomeBuild
class Com... | true | true |
1c44c2e440428fbf8e99bba9838287b19cd3fed5 | 195 | py | Python | bindsnet_master/bindsnet/pipeline/__init__.py | Singular-Brain/ProjectBrain | 2d22d45c13a86825c0dcaf517a59e02f2c4f6164 | [
"MIT"
] | 6 | 2021-06-01T03:43:35.000Z | 2022-02-11T10:41:06.000Z | bindsnet_master/bindsnet/pipeline/__init__.py | Singular-Brain/ProjectBrain | 2d22d45c13a86825c0dcaf517a59e02f2c4f6164 | [
"MIT"
] | 1 | 2022-03-31T03:22:14.000Z | 2022-03-31T03:22:14.000Z | bindsnet_master/bindsnet/pipeline/__init__.py | Singular-Brain/ProjectBrain | 2d22d45c13a86825c0dcaf517a59e02f2c4f6164 | [
"MIT"
] | 3 | 2021-10-30T02:30:40.000Z | 2021-11-16T04:23:12.000Z | from .environment_pipeline import EnvironmentPipeline
from .base_pipeline import BasePipeline
from .dataloader_pipeline import DataLoaderPipeline, TorchVisionDatasetPipeline
from . import action
| 39 | 79 | 0.887179 | from .environment_pipeline import EnvironmentPipeline
from .base_pipeline import BasePipeline
from .dataloader_pipeline import DataLoaderPipeline, TorchVisionDatasetPipeline
from . import action
| true | true |
1c44c32533d248651d10865ab48ee508be5c4361 | 9,815 | py | Python | reports/configs/only_logs_dmpnn8_1/other_config.py | hengwei-chan/graph_network_demo | 542f2a59b1b9708abdc718d77db7111f3ba2df96 | [
"MIT"
] | 1 | 2021-10-18T03:44:53.000Z | 2021-10-18T03:44:53.000Z | reports/configs/only_logs_dmpnn8_1/other_config.py | hengwei-chan/graph_network_demo | 542f2a59b1b9708abdc718d77db7111f3ba2df96 | [
"MIT"
] | null | null | null | reports/configs/only_logs_dmpnn8_1/other_config.py | hengwei-chan/graph_network_demo | 542f2a59b1b9708abdc718d77db7111f3ba2df96 | [
"MIT"
] | 1 | 2022-02-22T08:32:01.000Z | 2022-02-22T08:32:01.000Z | from dataclasses import dataclass, field
from typing import List
import tensorflow as tf
from graph_networks.utilities import *
import logging
import os
ATOM_FEATURE_DIM = DGIN8_ATOM_FEATURE_DIM
EDGE_FEATURE_DIM = DGIN8_EDGE_FEATURE_DIM
@dataclass
class BasicModelConfig:
"""
Config for model1/2/3 run file.
... | 44.013453 | 169 | 0.669791 | from dataclasses import dataclass, field
from typing import List
import tensorflow as tf
from graph_networks.utilities import *
import logging
import os
ATOM_FEATURE_DIM = DGIN8_ATOM_FEATURE_DIM
EDGE_FEATURE_DIM = DGIN8_EDGE_FEATURE_DIM
@dataclass
class BasicModelConfig:
model_name: str = 'only_logs_dmpnn8_1' ... | true | true |
1c44c44a7fd2e2d21d12c9a07e5e73afb826cc4f | 351 | py | Python | app/__init__.py | demuk/Spare-Manager | 670cac9a58e66cee58cd2ad3f6062d982c214903 | [
"CC0-1.0"
] | 1 | 2021-08-25T12:13:15.000Z | 2021-08-25T12:13:15.000Z | app/__init__.py | demuk/Spare-Manager | 670cac9a58e66cee58cd2ad3f6062d982c214903 | [
"CC0-1.0"
] | null | null | null | app/__init__.py | demuk/Spare-Manager | 670cac9a58e66cee58cd2ad3f6062d982c214903 | [
"CC0-1.0"
] | null | null | null | from flask import Flask
from config import Config
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
from flask_login import LoginManager
app = Flask(__name__)
app.config.from_object(Config)
db = SQLAlchemy(app)
migrate = Migrate(app, db)
login = LoginManager(app)
login.login_view = 'login'
f... | 19.5 | 39 | 0.803419 | from flask import Flask
from config import Config
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
from flask_login import LoginManager
app = Flask(__name__)
app.config.from_object(Config)
db = SQLAlchemy(app)
migrate = Migrate(app, db)
login = LoginManager(app)
login.login_view = 'login'
f... | true | true |
1c44c46aec892b9cb0523ce25ff5abdb3d142a87 | 256 | py | Python | film/urls.py | mamalmaleki/kolbe_cl | 0daf1ab55562b1f71a232be76c9e7609e8255e9a | [
"MIT"
] | 1 | 2020-01-02T05:51:11.000Z | 2020-01-02T05:51:11.000Z | film/urls.py | mamalmaleki/kolbe | 0daf1ab55562b1f71a232be76c9e7609e8255e9a | [
"MIT"
] | 2 | 2021-03-30T12:38:16.000Z | 2021-09-22T18:30:59.000Z | film/urls.py | mamalmaleki/kolbe | 0daf1ab55562b1f71a232be76c9e7609e8255e9a | [
"MIT"
] | 1 | 2020-12-01T09:47:12.000Z | 2020-12-01T09:47:12.000Z | from django.urls import path
from film import views
app_name = 'front-film'
urlpatterns = [
path('call', views.call, name='call'),
path('omdbapi-search', views.omdbapi_search, name='omdbapi-search'),
path('', views.film_list, name='list'),
]
| 23.272727 | 72 | 0.683594 | from django.urls import path
from film import views
app_name = 'front-film'
urlpatterns = [
path('call', views.call, name='call'),
path('omdbapi-search', views.omdbapi_search, name='omdbapi-search'),
path('', views.film_list, name='list'),
]
| true | true |
1c44c4774817045f4ce1c5be7b351739522ce15c | 12,993 | py | Python | metadata-ingestion/src/datahub/cli/docker.py | naboudieng/datahub | 1a5121a5aeb3940960e9994362860d4130b840f2 | [
"Apache-2.0"
] | null | null | null | metadata-ingestion/src/datahub/cli/docker.py | naboudieng/datahub | 1a5121a5aeb3940960e9994362860d4130b840f2 | [
"Apache-2.0"
] | null | null | null | metadata-ingestion/src/datahub/cli/docker.py | naboudieng/datahub | 1a5121a5aeb3940960e9994362860d4130b840f2 | [
"Apache-2.0"
] | null | null | null | import datetime
import itertools
import logging
import os
import pathlib
import platform
import subprocess
import sys
import tempfile
import time
from typing import List, NoReturn, Optional
import click
import requests
from datahub.cli.docker_check import (
check_local_docker_containers,
get_client_with_error... | 32.893671 | 124 | 0.633572 | import datetime
import itertools
import logging
import os
import pathlib
import platform
import subprocess
import sys
import tempfile
import time
from typing import List, NoReturn, Optional
import click
import requests
from datahub.cli.docker_check import (
check_local_docker_containers,
get_client_with_error... | true | true |
1c44c8b72eadfbead01d993a5e1364203d654373 | 2,784 | py | Python | DisFormers/disformers.py | spacedev-official/disformers | 31800466741be5ddcdfb531e021638f6ee112e23 | [
"Apache-2.0"
] | null | null | null | DisFormers/disformers.py | spacedev-official/disformers | 31800466741be5ddcdfb531e021638f6ee112e23 | [
"Apache-2.0"
] | 14 | 2021-11-01T08:23:06.000Z | 2022-03-31T08:32:24.000Z | DisFormers/disformers.py | spacedev-official/disformers | 31800466741be5ddcdfb531e021638f6ee112e23 | [
"Apache-2.0"
] | null | null | null | """
Adapted from:
https://www.machinecurve.com/index.php/2021/03/16/easy-chatbot-with-dialogpt-machine-learning-and-huggingface-transformers/
"""
import asyncio
from typing import Union
from transformers import AutoModelForCausalLM, AutoTokenizer
import os
from discord import (
Message,
Client
)
from discord.e... | 40.941176 | 123 | 0.650503 | import asyncio
from typing import Union
from transformers import AutoModelForCausalLM, AutoTokenizer
import os
from discord import (
Message,
Client
)
from discord.ext import commands
from aioify import aioify
class DisFormersBot:
def __init__(
self,
client: Union[commands.Bot,Client],
... | true | true |
1c44c9bafb9eb7bf07b6cf5ae9faa8f6dfb48e92 | 64 | py | Python | src/http_server/__meta__.py | explodingnuggets/HTTP-Server | adb829f14ea22f3791e90e093d0b2a1a13e80738 | [
"MIT"
] | null | null | null | src/http_server/__meta__.py | explodingnuggets/HTTP-Server | adb829f14ea22f3791e90e093d0b2a1a13e80738 | [
"MIT"
] | null | null | null | src/http_server/__meta__.py | explodingnuggets/HTTP-Server | adb829f14ea22f3791e90e093d0b2a1a13e80738 | [
"MIT"
] | null | null | null | __author__ = 'Matheus Bortoleto da Silva'
__version__ = '0.0.1'
| 21.333333 | 41 | 0.734375 | __author__ = 'Matheus Bortoleto da Silva'
__version__ = '0.0.1'
| true | true |
1c44ca6ab4d39dcd1e39ea389b325bfce7fa4529 | 1,896 | py | Python | A1014280203/4/4.py | saurabh896/python-1 | f8d3aedf4c0fe6e24dfa3269ea7e642c9f7dd9b7 | [
"MIT"
] | 3,976 | 2015-01-01T15:49:39.000Z | 2022-03-31T03:47:56.000Z | A1014280203/4/4.py | dwh65416396/python | 1a7e3edd1cd3422cc0eaa55471a0b42e004a9a1a | [
"MIT"
] | 97 | 2015-01-11T02:59:46.000Z | 2022-03-16T14:01:56.000Z | A1014280203/4/4.py | dwh65416396/python | 1a7e3edd1cd3422cc0eaa55471a0b42e004a9a1a | [
"MIT"
] | 3,533 | 2015-01-01T06:19:30.000Z | 2022-03-28T13:14:54.000Z | import string
# simply extend word like: it's => it is
def extend_word(text):
if text.find('\'') > 0:
old2new = dict()
words = text.split()
for word in words:
if word.find('\'') > 0:
parts = word.split('\'')
if parts[1] == 'm':
... | 32.689655 | 72 | 0.456224 | import string
def extend_word(text):
if text.find('\'') > 0:
old2new = dict()
words = text.split()
for word in words:
if word.find('\'') > 0:
parts = word.split('\'')
if parts[1] == 'm':
parts[1] = 'am'
... | true | true |
1c44cb2358ef226020e523a70bf6b334447775e4 | 2,162 | py | Python | main.py | AntoniosBarotsis/midi2img | 848f54c0f3a5175ee636c693b04b6363d00ee9c8 | [
"MIT"
] | null | null | null | main.py | AntoniosBarotsis/midi2img | 848f54c0f3a5175ee636c693b04b6363d00ee9c8 | [
"MIT"
] | null | null | null | main.py | AntoniosBarotsis/midi2img | 848f54c0f3a5175ee636c693b04b6363d00ee9c8 | [
"MIT"
] | null | null | null | import sys
import os
import time
from midi2img import main_midi
from img2midi import main_img
from contextlib import contextmanager,redirect_stderr,redirect_stdout
from os import devnull
from progress.bar import Bar
# Clear log file
open('out.log', 'w').close()
# Suppress warning messages
@contextmanager
def suppress... | 27.025 | 89 | 0.651711 | import sys
import os
import time
from midi2img import main_midi
from img2midi import main_img
from contextlib import contextmanager,redirect_stderr,redirect_stdout
from os import devnull
from progress.bar import Bar
open('out.log', 'w').close()
@contextmanager
def suppress_stdout_stderr():
with open(devnull, 'w')... | true | true |
1c44ccfcfcc208fed41386c0340da79ce7f18c39 | 383 | py | Python | c3i/c3i/wsgi.py | addinall/python-C3I | be72f026fb7c6b5084404876cd1296d3c3cb9b85 | [
"Unlicense"
] | null | null | null | c3i/c3i/wsgi.py | addinall/python-C3I | be72f026fb7c6b5084404876cd1296d3c3cb9b85 | [
"Unlicense"
] | null | null | null | c3i/c3i/wsgi.py | addinall/python-C3I | be72f026fb7c6b5084404876cd1296d3c3cb9b85 | [
"Unlicense"
] | null | null | null | """
WSGI config for c3i project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.9/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETTINGS_... | 22.529412 | 78 | 0.780679 |
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "c3i.settings")
application = get_wsgi_application()
| true | true |
1c44ce797a5c460258f52bac245631d4c3a93ac6 | 258 | py | Python | tensorflow_tts/configs/__init__.py | ashishpatel26/TensorflowTTS | bd29c3eefa51041b76fd355d94025b4c13084296 | [
"Apache-2.0"
] | 2 | 2020-06-01T07:39:25.000Z | 2021-11-08T09:31:33.000Z | tensorflow_tts/configs/__init__.py | ashishpatel26/TensorflowTTS | bd29c3eefa51041b76fd355d94025b4c13084296 | [
"Apache-2.0"
] | null | null | null | tensorflow_tts/configs/__init__.py | ashishpatel26/TensorflowTTS | bd29c3eefa51041b76fd355d94025b4c13084296 | [
"Apache-2.0"
] | 1 | 2020-10-05T06:06:20.000Z | 2020-10-05T06:06:20.000Z | from tensorflow_tts.configs.fastspeech import FastSpeechConfig
from tensorflow_tts.configs.melgan import MelGANGeneratorConfig
from tensorflow_tts.configs.melgan import MelGANDiscriminatorConfig
from tensorflow_tts.configs.tacotron2 import Tacotron2Config
| 36.857143 | 67 | 0.899225 | from tensorflow_tts.configs.fastspeech import FastSpeechConfig
from tensorflow_tts.configs.melgan import MelGANGeneratorConfig
from tensorflow_tts.configs.melgan import MelGANDiscriminatorConfig
from tensorflow_tts.configs.tacotron2 import Tacotron2Config
| true | true |
1c44cf402bf3cc203667af282d9dee25fdc98243 | 313 | py | Python | pi_utils.py | georgeblck/creepydoll | 7b0a5d811cfbf5bc65c91b25af56702f6077c10c | [
"MIT"
] | null | null | null | pi_utils.py | georgeblck/creepydoll | 7b0a5d811cfbf5bc65c91b25af56702f6077c10c | [
"MIT"
] | null | null | null | pi_utils.py | georgeblck/creepydoll | 7b0a5d811cfbf5bc65c91b25af56702f6077c10c | [
"MIT"
] | null | null | null | from picamera import PiCamera
import os
def record_video(destination):
filename = os.path.join(
destination, datetime.now().strftime('%Y-%m-%d_%H.%M.%S.h264'))
camera.start_preview()
camera.start_recording(filename)
def finish_video():
camera.stop_recording()
camera.stop_preview()
| 22.357143 | 71 | 0.702875 | from picamera import PiCamera
import os
def record_video(destination):
filename = os.path.join(
destination, datetime.now().strftime('%Y-%m-%d_%H.%M.%S.h264'))
camera.start_preview()
camera.start_recording(filename)
def finish_video():
camera.stop_recording()
camera.stop_preview()
| true | true |
1c44cf439ceed23a243d6c564ce0b570a3316160 | 1,166 | py | Python | english/data_processing/lessons/code/sphere.py | hrutkabence/tutorials | bd76294860804aee8ecda5e1445464506bf02ee0 | [
"CC0-1.0"
] | null | null | null | english/data_processing/lessons/code/sphere.py | hrutkabence/tutorials | bd76294860804aee8ecda5e1445464506bf02ee0 | [
"CC0-1.0"
] | null | null | null | english/data_processing/lessons/code/sphere.py | hrutkabence/tutorials | bd76294860804aee8ecda5e1445464506bf02ee0 | [
"CC0-1.0"
] | null | null | null | import numpy as np
from math import sqrt
from sys import argv
def sphere(x_, y_, z_):
"""
calculate best fitting sphere (LSM) on points
:param returns: x0, y0, z0, R
"""
n_ = x_.shape[0]
a = np.c_[x_, y_, z_, np.full(n_, 1, 'float64')]
b = -np.square(x_) - np.square(y_) - np.square(... | 37.612903 | 100 | 0.531732 | import numpy as np
from math import sqrt
from sys import argv
def sphere(x_, y_, z_):
n_ = x_.shape[0]
a = np.c_[x_, y_, z_, np.full(n_, 1, 'float64')]
b = -np.square(x_) - np.square(y_) - np.square(z_)
res = np.linalg.lstsq(a, b, rcond=None)[0]
return -0.5 * res[0], -0.5 * res[1], -0.5 * res[2], \... | true | true |
1c44d06afab9a86e82ffdf346b95617bf5c67311 | 4,277 | py | Python | test/functional/rpc_invalidateblock.py | HashUnlimited/chaincoin | 9a035680d6d9b9a0524dc7524c55cfedd1a683ca | [
"MIT"
] | null | null | null | test/functional/rpc_invalidateblock.py | HashUnlimited/chaincoin | 9a035680d6d9b9a0524dc7524c55cfedd1a683ca | [
"MIT"
] | null | null | null | test/functional/rpc_invalidateblock.py | HashUnlimited/chaincoin | 9a035680d6d9b9a0524dc7524c55cfedd1a683ca | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2014-2019 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test the invalidateblock RPC."""
from test_framework.test_framework import BitcoinTestFramework
from t... | 44.552083 | 100 | 0.680617 |
from test_framework.test_framework import BitcoinTestFramework
from test_framework.address import ADDRESS_BCRT1_UNSPENDABLE_DESCRIPTOR
from test_framework.util import (
assert_equal,
connect_nodes,
wait_until,
)
class InvalidateTest(BitcoinTestFramework):
def __init__(self):
super().__init__... | true | true |
1c44d1c65c48745bd98f1e4b6e8a7460fd9bcbc8 | 10,468 | py | Python | neural_network.py | marcvergees/rieffel_method | 5377284c10010691238f10d5d6f77935c44d8f3d | [
"BSD-3-Clause"
] | null | null | null | neural_network.py | marcvergees/rieffel_method | 5377284c10010691238f10d5d6f77935c44d8f3d | [
"BSD-3-Clause"
] | null | null | null | neural_network.py | marcvergees/rieffel_method | 5377284c10010691238f10d5d6f77935c44d8f3d | [
"BSD-3-Clause"
] | null | null | null | # Big Data, Xarxes Neuronals i Màrqueting: la clau de l'èxit?
# Treball de recerca (TR)
# Marc Vergés Santiago - Escola Pia Mataró
#
#
#
# Copyright (c) 2021, Marc Vergés Santiago
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provid... | 40.731518 | 131 | 0.62992 | # Treball de recerca (TR)
# Marc Vergés Santiago - Escola Pia Mataró
#
#
#
# Copyright (c) 2021, Marc Vergés Santiago
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributi... | true | true |
1c44d28b5a3327e8b46e68b17d3f1e122eb9c8c0 | 140 | py | Python | pentagraph/__init__.py | Penta-Game/pentagraph | 39a84dc06466bbff0a4f9692a24166ecfb839b84 | [
"MIT"
] | 1 | 2020-07-25T10:07:53.000Z | 2020-07-25T10:07:53.000Z | pentagraph/__init__.py | Penta-Game/pentagraph | 39a84dc06466bbff0a4f9692a24166ecfb839b84 | [
"MIT"
] | 43 | 2020-07-31T05:28:08.000Z | 2021-07-27T05:11:03.000Z | pentagraph/__init__.py | Penta-Game/pentagraph | 39a84dc06466bbff0a4f9692a24166ecfb839b84 | [
"MIT"
] | null | null | null | from . import lib
__version__ = "0.0.1b5"
__author__ = "Cobalt"
__doc__ = "Graph representation and tools for programming with pentagame."
| 23.333333 | 74 | 0.757143 | from . import lib
__version__ = "0.0.1b5"
__author__ = "Cobalt"
__doc__ = "Graph representation and tools for programming with pentagame."
| true | true |
1c44d343222bdd8581be68438ee3d2be5a1cb5b4 | 5,997 | py | Python | payments/paymentswobill.py | lkerxhalli/tools | bb9391ab7e1312619e705ca4da4f8cda3c201f99 | [
"MIT"
] | null | null | null | payments/paymentswobill.py | lkerxhalli/tools | bb9391ab7e1312619e705ca4da4f8cda3c201f99 | [
"MIT"
] | null | null | null | payments/paymentswobill.py | lkerxhalli/tools | bb9391ab7e1312619e705ca4da4f8cda3c201f99 | [
"MIT"
] | null | null | null | ### Auth: Lorenc Kerxhalli
### Creates a estimated payment schedule per week
### input:
### 1. AP Payment report exported from Netsuite
### 2. Open Bills report exported from Netsuite
###
### output:
### Estimated payment schedule per vendor per week
###
import sys
import os
import csv
import datetim... | 28.023364 | 92 | 0.576121 |
import sys
import os
import csv
import datetime
from datetime import timedelta
import re
from re import sub
from decimal import Decimal
directory = '/Users/lkerxhalli/Documents/iris/jun13/'
name = 'NPS 1.1.19 4.30.19'
csvinputfile = directory + name + '.csv'
csvoutputfile = directory + name + ' out.csv'
hName = '... | true | true |
1c44d3ce85fdcbffb545fbcfd8c5b98209705ad1 | 5,068 | py | Python | q2_feature_table/tests/test_merge.py | jairideout/q2-feature-table | 494e0b8080799c746c55be2271278891798b8e56 | [
"BSD-3-Clause"
] | null | null | null | q2_feature_table/tests/test_merge.py | jairideout/q2-feature-table | 494e0b8080799c746c55be2271278891798b8e56 | [
"BSD-3-Clause"
] | null | null | null | q2_feature_table/tests/test_merge.py | jairideout/q2-feature-table | 494e0b8080799c746c55be2271278891798b8e56 | [
"BSD-3-Clause"
] | null | null | null | # ----------------------------------------------------------------------------
# Copyright (c) 2016-2017, QIIME 2 development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file LICENSE, distributed with this software.
# ------------------------------------------------... | 39.286822 | 78 | 0.48165 |
import unittest
import skbio
import numpy as np
from biom.table import Table
import pandas as pd
import pandas.util.testing as pdt
from q2_feature_table import (merge, merge_seq_data,
merge_taxa_data)
from q2_feature_table._merge import _merge_feature_data
class MergeTableTests(unitte... | true | true |
1c44d430b2eeaaad52c4aa52a38f7b194de4bb78 | 3,626 | py | Python | pyinfra/api/connectors/sshuserclient/client.py | ryanwersal/pyinfra | 350c9053953531d1d258512f1e0761879df772fb | [
"MIT"
] | null | null | null | pyinfra/api/connectors/sshuserclient/client.py | ryanwersal/pyinfra | 350c9053953531d1d258512f1e0761879df772fb | [
"MIT"
] | null | null | null | pyinfra/api/connectors/sshuserclient/client.py | ryanwersal/pyinfra | 350c9053953531d1d258512f1e0761879df772fb | [
"MIT"
] | null | null | null | '''
This file as originally part of the "sshuserclient" pypi package. The GitHub
source has now vanished (https://github.com/tobald/sshuserclient).
'''
from os import path
from paramiko import (
AutoAddPolicy,
ProxyCommand,
SSHClient as ParamikoClient,
)
from pyinfra.api.util import memoize
from .config... | 33.266055 | 79 | 0.585769 |
from os import path
from paramiko import (
AutoAddPolicy,
ProxyCommand,
SSHClient as ParamikoClient,
)
from pyinfra.api.util import memoize
from .config import SSHConfig
@memoize
def get_ssh_config():
user_config_file = path.expanduser('~/.ssh/config')
if path.exists(user_config_file):
... | true | true |
1c44d59547bb28cda69dfd6ea00db05d926f2024 | 3,035 | py | Python | test/test_base_processor.py | tienanh-1999/TensorFlowTTS | cd3a5e1f9915fa7dd646771fd50fe6fef94fe9fc | [
"Apache-2.0"
] | 1,961 | 2020-07-31T07:31:27.000Z | 2022-03-31T20:39:29.000Z | test/test_base_processor.py | neso613/TensorFlowTTS | 978f397c244a4987e2aa11e5db8d1e5902332826 | [
"Apache-2.0"
] | 587 | 2020-07-31T03:24:54.000Z | 2022-03-29T02:31:50.000Z | test/test_base_processor.py | neso613/TensorFlowTTS | 978f397c244a4987e2aa11e5db8d1e5902332826 | [
"Apache-2.0"
] | 483 | 2020-07-31T17:48:32.000Z | 2022-03-31T13:55:49.000Z | import pytest
from tensorflow_tts.processor.base_processor import BaseProcessor, DataProcessorError
import string
from dataclasses import dataclass
from shutil import copyfile
@dataclass
class LJ(BaseProcessor):
def get_one_sample(self, item):
sample = {
"raw_text": None,
"text_ids... | 28.101852 | 85 | 0.670181 | import pytest
from tensorflow_tts.processor.base_processor import BaseProcessor, DataProcessorError
import string
from dataclasses import dataclass
from shutil import copyfile
@dataclass
class LJ(BaseProcessor):
def get_one_sample(self, item):
sample = {
"raw_text": None,
"text_ids... | true | true |
1c44d6adc5f4ee15843ce36776690e20cbf7f159 | 1,363 | py | Python | meregistro/apps/registro/models/EstablecimientoAutoridad.py | MERegistro/meregistro | 6cde3cab2bd1a8e3084fa38147de377d229391e3 | [
"BSD-3-Clause"
] | null | null | null | meregistro/apps/registro/models/EstablecimientoAutoridad.py | MERegistro/meregistro | 6cde3cab2bd1a8e3084fa38147de377d229391e3 | [
"BSD-3-Clause"
] | null | null | null | meregistro/apps/registro/models/EstablecimientoAutoridad.py | MERegistro/meregistro | 6cde3cab2bd1a8e3084fa38147de377d229391e3 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from django.db import models
from apps.registro.models.Establecimiento import Establecimiento
from apps.seguridad.models.TipoDocumento import TipoDocumento
from apps.registro.models.AutoridadCargo import AutoridadCargo
from django.core.exceptions import ValidationError
class EstablecimientoAut... | 45.433333 | 100 | 0.752018 | from django.db import models
from apps.registro.models.Establecimiento import Establecimiento
from apps.seguridad.models.TipoDocumento import TipoDocumento
from apps.registro.models.AutoridadCargo import AutoridadCargo
from django.core.exceptions import ValidationError
class EstablecimientoAutoridad(models.Model):
... | true | true |
1c44d7fbd04a0e2096ef3888fde21248877de8f1 | 4,060 | py | Python | python/tests/server/test_http_output.py | dashstander/cog | 0aee3c9ef50ac346d053010e39c4e7becbbcb70d | [
"Apache-2.0"
] | null | null | null | python/tests/server/test_http_output.py | dashstander/cog | 0aee3c9ef50ac346d053010e39c4e7becbbcb70d | [
"Apache-2.0"
] | null | null | null | python/tests/server/test_http_output.py | dashstander/cog | 0aee3c9ef50ac346d053010e39c4e7becbbcb70d | [
"Apache-2.0"
] | null | null | null | import base64
import io
import os
import tempfile
import numpy as np
from PIL import Image
import responses
from responses.matchers import multipart_matcher
from cog import BaseModel, BasePredictor, Path, File
from .test_http import make_client
def test_return_wrong_type():
class Predictor(BasePredictor):
... | 28.391608 | 94 | 0.61133 | import base64
import io
import os
import tempfile
import numpy as np
from PIL import Image
import responses
from responses.matchers import multipart_matcher
from cog import BaseModel, BasePredictor, Path, File
from .test_http import make_client
def test_return_wrong_type():
class Predictor(BasePredictor):
... | true | true |
1c44d821b673acb2343e06993bdaf8292215ca6a | 26,336 | py | Python | rnn.py | hamk-uas/HAMK_Smart_City | c9408ea1caac995522489a331207737b37971314 | [
"Apache-2.0"
] | 1 | 2021-12-19T09:53:28.000Z | 2021-12-19T09:53:28.000Z | rnn.py | hamk-uas/HAMK_Smart_City | c9408ea1caac995522489a331207737b37971314 | [
"Apache-2.0"
] | null | null | null | rnn.py | hamk-uas/HAMK_Smart_City | c9408ea1caac995522489a331207737b37971314 | [
"Apache-2.0"
] | null | null | null | import pandas as pd
import numpy as np
from tensorflow import Variable
from tensorflow.keras.models import Sequential, load_model
from tensorflow.keras.layers import Dense, GRU, LSTM, SimpleRNN, BatchNormalization
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.callbacks import EarlyStopping
from skl... | 48.500921 | 179 | 0.606508 | import pandas as pd
import numpy as np
from tensorflow import Variable
from tensorflow.keras.models import Sequential, load_model
from tensorflow.keras.layers import Dense, GRU, LSTM, SimpleRNN, BatchNormalization
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.callbacks import EarlyStopping
from skl... | true | true |
1c44d872e71fe39535f712ec003d271474cc86bc | 772 | py | Python | qcloudsdkds/ContractRecoveryRequest.py | f3n9/qcloudcli | b965a4f0e6cdd79c1245c1d0cd2ca9c460a56f19 | [
"Apache-2.0"
] | null | null | null | qcloudsdkds/ContractRecoveryRequest.py | f3n9/qcloudcli | b965a4f0e6cdd79c1245c1d0cd2ca9c460a56f19 | [
"Apache-2.0"
] | null | null | null | qcloudsdkds/ContractRecoveryRequest.py | f3n9/qcloudcli | b965a4f0e6cdd79c1245c1d0cd2ca9c460a56f19 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from qcloudsdkcore.request import Request
class ContractRecoveryRequest(Request):
def __init__(self):
super(ContractRecoveryRequest, self).__init__(
'ds', 'qcloudcliV1', 'ContractRecovery', 'ds.api.qcloud.com')
def get_contractResId(self):
return self.get_... | 27.571429 | 73 | 0.676166 |
from qcloudsdkcore.request import Request
class ContractRecoveryRequest(Request):
def __init__(self):
super(ContractRecoveryRequest, self).__init__(
'ds', 'qcloudcliV1', 'ContractRecovery', 'ds.api.qcloud.com')
def get_contractResId(self):
return self.get_params().get('contractRe... | true | true |
1c44d8736d714d113497f524b08d44eb57ca8a35 | 2,233 | py | Python | feedler/feedparser.py | pcoder/public-health-ch | cebc4849653560c54238b67814074353ff7c01f3 | [
"MIT"
] | 2 | 2020-10-29T16:27:21.000Z | 2021-06-07T12:47:46.000Z | feedler/feedparser.py | pcoder/public-health-ch | cebc4849653560c54238b67814074353ff7c01f3 | [
"MIT"
] | 11 | 2017-05-09T10:50:28.000Z | 2021-12-15T17:01:23.000Z | feedler/feedparser.py | pcoder/public-health-ch | cebc4849653560c54238b67814074353ff7c01f3 | [
"MIT"
] | 4 | 2017-04-24T13:06:55.000Z | 2021-06-04T02:18:32.000Z | # -*- coding: utf-8 -*-
from datetime import datetime
from guess_language import guess_language
def parse(obj, raw, stream):
"""
Parse raw JSON implementation from the Feedly API
"""
obj.raw = raw
obj.stream = stream
obj.entry_id = raw['id']
# Date stamp handling
ts = raw['published']... | 30.589041 | 58 | 0.545455 |
from datetime import datetime
from guess_language import guess_language
def parse(obj, raw, stream):
obj.raw = raw
obj.stream = stream
obj.entry_id = raw['id']
ts = raw['published'] / 1000
obj.published = datetime.fromtimestamp(ts)
obj.title = raw['title'][:250]
if 'author' in ra... | true | true |
1c44da8cd8e14680cabbb02c8fd7a7fdb43c144d | 393 | py | Python | rockwell/rockwell/asgi.py | Xiangyongluo/Hackathon-Project | 815eb9b4e1ea9d41d4ddc90e204bbe919b8bc2ba | [
"Apache-2.0"
] | null | null | null | rockwell/rockwell/asgi.py | Xiangyongluo/Hackathon-Project | 815eb9b4e1ea9d41d4ddc90e204bbe919b8bc2ba | [
"Apache-2.0"
] | 1 | 2021-12-04T04:35:52.000Z | 2021-12-04T04:35:52.000Z | rockwell/rockwell/asgi.py | Xiangyongluo/Hackathon-Project | 815eb9b4e1ea9d41d4ddc90e204bbe919b8bc2ba | [
"Apache-2.0"
] | null | null | null | """
ASGI config for rockwell project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/2.1/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SETT... | 23.117647 | 78 | 0.78626 |
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'rockwell.settings')
application = get_asgi_application()
| true | true |
1c44db39a1bbd369f3b8ca3833e06ce7a09f36e3 | 6,679 | py | Python | dm_control/locomotion/walkers/base.py | h8907283/dm_control | fe4449606742a7b8bec81930790b98244cddc538 | [
"Apache-2.0"
] | 1 | 2022-03-22T11:53:38.000Z | 2022-03-22T11:53:38.000Z | dm_control/locomotion/walkers/base.py | krakhit/dm_control | 4e1a35595124742015ae0c7a829e099a5aa100f5 | [
"Apache-2.0"
] | null | null | null | dm_control/locomotion/walkers/base.py | krakhit/dm_control | 4e1a35595124742015ae0c7a829e099a5aa100f5 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 The dm_control 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 i... | 33.562814 | 80 | 0.690972 |
import abc
import collections
from dm_control import composer
from dm_control.composer.observation import observable
from dm_env import specs
import numpy as np
def _make_readonly_float64_copy(value):
if np.isscalar(value):
return np.float64(value)
else:
out = np.array(value, dtype=np.float64)
out... | true | true |
1c44dce31e003e663b608bdf55046a067adb45b9 | 6,765 | py | Python | fonts/connect3d_infineon_8x16.py | ccccmagicboy/st7735_mpy | b15f1bde69fbe6e0eb4931c57e71c136d8e7f024 | [
"MIT"
] | 6 | 2020-07-11T16:59:19.000Z | 2021-07-16T19:32:49.000Z | ports/esp32/user_modules/st7735_mpy/fonts/connect3d_infineon_8x16.py | d4niele/micropython | a1f7b37d392bf46b28045ce215ae899fda8d8c38 | [
"MIT"
] | 1 | 2020-04-14T03:14:45.000Z | 2020-04-14T03:14:45.000Z | fonts/connect3d_infineon_8x16.py | ccccmagicboy/st7735_mpy | b15f1bde69fbe6e0eb4931c57e71c136d8e7f024 | [
"MIT"
] | null | null | null | """converted from ..\fonts\Connect3d_Infineon_8x16.bin """
WIDTH = 8
HEIGHT = 16
FIRST = 0x20
LAST = 0x7f
_FONT =\
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\
b'\x00\x00\x18\x3c\x3c\x3c\x3c\x18\x18\x00\x18\x18\x00\x00\x00\x00'\
b'\x00\x36\x36\x36\x36\x14\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'... | 64.428571 | 68 | 0.709978 | WIDTH = 8
HEIGHT = 16
FIRST = 0x20
LAST = 0x7f
_FONT =\
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\
b'\x00\x00\x18\x3c\x3c\x3c\x3c\x18\x18\x00\x18\x18\x00\x00\x00\x00'\
b'\x00\x36\x36\x36\x36\x14\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\
b'\x00\x00\x6c\x6c\x6c\xfe\x6c\x6c\xfe\x6c\x6c\x6c\x00\x0... | true | true |
1c44ddb53005f0348306ada9b2eb5fc4041f1299 | 6,990 | py | Python | src/connectedvmware/azext_connectedvmware/vendored_sdks/models/virtual_machine_template.py | haroonf/azure-cli-extensions | 61c044d34c224372f186934fa7c9313f1cd3a525 | [
"MIT"
] | 207 | 2017-11-29T06:59:41.000Z | 2022-03-31T10:00:53.000Z | src/connectedvmware/azext_connectedvmware/vendored_sdks/models/virtual_machine_template.py | haroonf/azure-cli-extensions | 61c044d34c224372f186934fa7c9313f1cd3a525 | [
"MIT"
] | 4,061 | 2017-10-27T23:19:56.000Z | 2022-03-31T23:18:30.000Z | src/connectedvmware/azext_connectedvmware/vendored_sdks/models/virtual_machine_template.py | haroonf/azure-cli-extensions | 61c044d34c224372f186934fa7c9313f1cd3a525 | [
"MIT"
] | 802 | 2017-10-11T17:36:26.000Z | 2022-03-31T22:24:32.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 43.962264 | 100 | 0.634621 |
from msrest.serialization import Model
class VirtualMachineTemplate(Model):
_validation = {
'uuid': {'readonly': True},
'mo_name': {'readonly': True},
'memory_size_mb': {'readonly': True},
'num_cp_us': {'readonly': True},
'num_cores_per_socket': {'readonly': True},
... | true | true |
1c44ddf468ea1fa13eb77cec4667348d4bc60c09 | 7,181 | py | Python | main.py | zhangchenkai/piwise_segmentation | 3dfecaae32cde9097d9c312e3373a834b0884319 | [
"BSD-3-Clause"
] | null | null | null | main.py | zhangchenkai/piwise_segmentation | 3dfecaae32cde9097d9c312e3373a834b0884319 | [
"BSD-3-Clause"
] | null | null | null | main.py | zhangchenkai/piwise_segmentation | 3dfecaae32cde9097d9c312e3373a834b0884319 | [
"BSD-3-Clause"
] | null | null | null | import sys
from argparse import ArgumentParser
import numpy as np
import pandas as pd
import torch
from torch.autograd import Variable
from torch.optim import Adam
from torch.utils.data import DataLoader
from torchvision.transforms import Compose, Normalize
from torchvision.transforms import ToTensor, ToPILImage, Resi... | 35.374384 | 100 | 0.604512 | import sys
from argparse import ArgumentParser
import numpy as np
import pandas as pd
import torch
from torch.autograd import Variable
from torch.optim import Adam
from torch.utils.data import DataLoader
from torchvision.transforms import Compose, Normalize
from torchvision.transforms import ToTensor, ToPILImage, Resi... | true | true |
1c44de44632df44a415f68c307e8e4ac5cfde4f8 | 183 | py | Python | PAT/pythonSrc/PAT-B1011.A+B和C.py | OS-EDU/KO--CSP | 615a3a02853be6832f0e958969a2cb26106d3908 | [
"Apache-2.0"
] | 30 | 2020-11-07T06:56:26.000Z | 2022-02-21T09:12:39.000Z | PAT/pythonSrc/PAT-B1011.A+B和C.py | OS-EDU/KO--CSP | 615a3a02853be6832f0e958969a2cb26106d3908 | [
"Apache-2.0"
] | 166 | 2020-11-05T07:28:15.000Z | 2022-03-28T04:00:08.000Z | PAT/pythonSrc/PAT-B1011.A+B和C.py | OS-EDU/KO--CSP | 615a3a02853be6832f0e958969a2cb26106d3908 | [
"Apache-2.0"
] | 28 | 2020-11-07T06:56:29.000Z | 2021-09-14T11:20:27.000Z | n = int(input()) #测试数据组数
i = 1 #记录循环次数
while i <= n:
a, b, c = map(int, input().split())
print("Case #%d: "%i, end="")
if a + b > c:
print("true")
else:
print("false")
i += 1 | 18.3 | 36 | 0.508197 | n = int(input()) i = 1 while i <= n:
a, b, c = map(int, input().split())
print("Case #%d: "%i, end="")
if a + b > c:
print("true")
else:
print("false")
i += 1 | true | true |
1c44de9cdbe7f0da12017ec35e71d4438341fccc | 2,577 | py | Python | 03_train_model/source_dir/training_debug.py | alar0330/amazon-sagemaker-build-train-deploy | b476c5ba5b3bd55a99709e7788079763fa498682 | [
"Apache-2.0"
] | 23 | 2020-03-30T08:02:48.000Z | 2022-02-01T16:16:43.000Z | 03_train_model/source_dir/training_debug.py | alar0330/amazon-sagemaker-build-train-deploy | b476c5ba5b3bd55a99709e7788079763fa498682 | [
"Apache-2.0"
] | null | null | null | 03_train_model/source_dir/training_debug.py | alar0330/amazon-sagemaker-build-train-deploy | b476c5ba5b3bd55a99709e7788079763fa498682 | [
"Apache-2.0"
] | 11 | 2020-04-04T09:01:27.000Z | 2021-06-02T12:10:21.000Z | import argparse
import json
import os
import random
import pandas as pd
import glob
import pickle as pkl
import xgboost
from smdebug import SaveConfig
from smdebug.xgboost import Hook
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--max_depth", type=int, default=5)
parser.add... | 29.62069 | 98 | 0.684517 | import argparse
import json
import os
import random
import pandas as pd
import glob
import pickle as pkl
import xgboost
from smdebug import SaveConfig
from smdebug.xgboost import Hook
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--max_depth", type=int, default=5)
parser.add... | true | true |
1c44df28fd3a2056d9abd1da319c0912766c6417 | 41 | py | Python | sksurgerybard/ui/__init__.py | SciKit-Surgery/scikit-surgerybard | 4ac2ea28acb150437361c9abd53db3e3bba6d803 | [
"BSD-3-Clause"
] | 1 | 2021-06-30T15:55:21.000Z | 2021-06-30T15:55:21.000Z | sksurgerybard/ui/__init__.py | UCL/scikit-surgerybard | 7ebe4d15d3d3fa67218424c9f737a9e8d93bfbf3 | [
"BSD-3-Clause"
] | 68 | 2020-04-30T07:29:33.000Z | 2022-01-20T09:47:54.000Z | sksurgerybard/ui/__init__.py | SciKit-Surgery/scikit-surgerybard | 4ac2ea28acb150437361c9abd53db3e3bba6d803 | [
"BSD-3-Clause"
] | 1 | 2021-06-30T15:55:48.000Z | 2021-06-30T15:55:48.000Z | # coding=utf-8
"""scikit-surgerybard"""
| 10.25 | 24 | 0.658537 | true | true | |
1c44e010fefb96406841d2144b608e607f89b5a7 | 7,410 | py | Python | apps/tests/test_measurement_on_request1.py | sanchezcarlosjr/PyK-Ar | 13ed535b85a9025464ae85feda46d94887d75e3e | [
"Apache-2.0"
] | 1 | 2021-09-24T23:13:22.000Z | 2021-09-24T23:13:22.000Z | apps/tests/test_measurement_on_request1.py | sanchezcarlosjr/PyK-Ar | 13ed535b85a9025464ae85feda46d94887d75e3e | [
"Apache-2.0"
] | 10 | 2021-09-25T05:15:04.000Z | 2021-10-04T20:02:27.000Z | apps/tests/test_measurement_on_request1.py | sanchezcarlosjr/PyK-Ar | 13ed535b85a9025464ae85feda46d94887d75e3e | [
"Apache-2.0"
] | null | null | null | import json
import sys
from datetime import datetime
from firebase_admin import initialize_app
from domain.Ar36_Ar38_composition_of_atmospheric import Ar36Ar38CompositionOfAtmospheric
from domain.Ar36_Ar38_ratio_for_tracer import Ar36Ar38RatioForTracer
from domain.Ar40_Ar38_composition_of_atmospheric import Ar40Ar38C... | 38 | 109 | 0.778812 | import json
import sys
from datetime import datetime
from firebase_admin import initialize_app
from domain.Ar36_Ar38_composition_of_atmospheric import Ar36Ar38CompositionOfAtmospheric
from domain.Ar36_Ar38_ratio_for_tracer import Ar36Ar38RatioForTracer
from domain.Ar40_Ar38_composition_of_atmospheric import Ar40Ar38C... | true | true |
1c44e1b28f76d59aab7443a816e6b848c0913e2f | 3,663 | py | Python | tests/lib/test_binary.py | nrrpinto/construct | cfc980c6edfbe33c56015b736f59fb3155b51317 | [
"MIT"
] | 629 | 2015-01-06T03:01:56.000Z | 2022-03-23T13:13:26.000Z | tests/lib/test_binary.py | nrrpinto/construct | cfc980c6edfbe33c56015b736f59fb3155b51317 | [
"MIT"
] | 897 | 2015-02-28T15:46:06.000Z | 2022-03-30T08:19:13.000Z | tests/lib/test_binary.py | nrrpinto/construct | cfc980c6edfbe33c56015b736f59fb3155b51317 | [
"MIT"
] | 151 | 2015-01-08T16:36:24.000Z | 2022-03-10T16:59:49.000Z | from tests.declarativeunittest import *
from construct.lib.binary import *
def test_integer2bits():
assert integer2bits(0, 0, False) == b""
assert integer2bits(0, 0, True) == b""
assert integer2bits(19, 5) == b"\x01\x00\x00\x01\x01"
assert integer2bits(19, 8) == b"\x00\x00\x00\x01\x00\x00\x01\x01"
... | 44.670732 | 99 | 0.658204 | from tests.declarativeunittest import *
from construct.lib.binary import *
def test_integer2bits():
assert integer2bits(0, 0, False) == b""
assert integer2bits(0, 0, True) == b""
assert integer2bits(19, 5) == b"\x01\x00\x00\x01\x01"
assert integer2bits(19, 8) == b"\x00\x00\x00\x01\x00\x00\x01\x01"
... | true | true |
1c44e1d0468e64809d81b9a7adc2c74263251bc9 | 1,943 | py | Python | common_config.py | Dervish13/bsidesns-backend | ba8173f2b81210a561b203973eb48d5c124870b1 | [
"BSD-2-Clause"
] | null | null | null | common_config.py | Dervish13/bsidesns-backend | ba8173f2b81210a561b203973eb48d5c124870b1 | [
"BSD-2-Clause"
] | null | null | null | common_config.py | Dervish13/bsidesns-backend | ba8173f2b81210a561b203973eb48d5c124870b1 | [
"BSD-2-Clause"
] | 3 | 2020-01-12T13:34:35.000Z | 2021-11-01T17:50:21.000Z | import os
from name import app_name
# from datetime import timedelta
SECRET_KEY = 'iQfPvB6sZaNHqVFI5CJa9rM1xOEVHKIM0LwifT04yLsPlZhSSvaDuZXOgJFSpJVq'
PROJECT_ROOT = os.path.dirname(os.path.abspath(__file__))
class Config:
NAME = app_name
API_TITLE = 'BSidesNS'
API_VERSION = '0'
PROJECT_ROOT = PROJE... | 25.233766 | 79 | 0.647967 | import os
from name import app_name
SECRET_KEY = 'iQfPvB6sZaNHqVFI5CJa9rM1xOEVHKIM0LwifT04yLsPlZhSSvaDuZXOgJFSpJVq'
PROJECT_ROOT = os.path.dirname(os.path.abspath(__file__))
class Config:
NAME = app_name
API_TITLE = 'BSidesNS'
API_VERSION = '0'
PROJECT_ROOT = PROJECT_ROOT
DEBUG = False
SECU... | true | true |
1c44e32562aa9115a0e38ce8b781e766efe4afaa | 4,287 | py | Python | pirates/effects/SteamCloud.py | itsyaboyrocket/pirates | 6ca1e7d571c670b0d976f65e608235707b5737e3 | [
"BSD-3-Clause"
] | 3 | 2021-02-25T06:38:13.000Z | 2022-03-22T07:00:15.000Z | pirates/effects/SteamCloud.py | itsyaboyrocket/pirates | 6ca1e7d571c670b0d976f65e608235707b5737e3 | [
"BSD-3-Clause"
] | null | null | null | pirates/effects/SteamCloud.py | itsyaboyrocket/pirates | 6ca1e7d571c670b0d976f65e608235707b5737e3 | [
"BSD-3-Clause"
] | 1 | 2021-02-25T06:38:17.000Z | 2021-02-25T06:38:17.000Z | # uncompyle6 version 3.2.0
# Python bytecode 2.4 (62061)
# Decompiled from: Python 2.7.14 (v2.7.14:84471935ed, Sep 16 2017, 20:19:30) [MSC v.1500 32 bit (Intel)]
# Embedded file name: pirates.effects.SteamCloud
from pandac.PandaModules import *
from direct.interval.IntervalGlobal import *
from direct.particles import P... | 46.096774 | 176 | 0.696991 | from pandac.PandaModules import *
from direct.interval.IntervalGlobal import *
from direct.particles import ParticleEffect
from direct.particles import Particles
from direct.particles import ForceGroup
from pirates.piratesgui.GameOptions import Options
from EffectController import EffectController
from PooledEffect imp... | true | true |
1c44e3c2f33006b5c3dda27583e1334edfeee1e7 | 3,581 | py | Python | examples_progress_bar.py | ElCap1tan/ProgressPrinter | fd144e94543175b87a4d16234b05220a65c0140b | [
"MIT"
] | null | null | null | examples_progress_bar.py | ElCap1tan/ProgressPrinter | fd144e94543175b87a4d16234b05220a65c0140b | [
"MIT"
] | 2 | 2019-09-10T21:48:21.000Z | 2019-09-28T16:28:36.000Z | examples_progress_bar.py | ElCap1tan/ProgressPrinter | fd144e94543175b87a4d16234b05220a65c0140b | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from time import sleep
from ProgressPrinter import ProgressBar
def main():
"""
Choose which examples to run in this method
"""
ex1()
ex2()
ex3()
ex4()
ex5()
def ex1():
"""
**Example 1**
::
pb1 = ProgressBar(100, '%', pre='Downloading file'... | 27.335878 | 146 | 0.527506 |
from time import sleep
from ProgressPrinter import ProgressBar
def main():
ex1()
ex2()
ex3()
ex4()
ex5()
def ex1():
pb1 = ProgressBar(100, '%', pre='Downloading file', post='Download finished', length=25)
pb1.print_progress() for mb in range(1, 101):
pb1.print_progress(m... | true | true |
1c44e4c3291a1e3a80c99161ea4d923297721848 | 415 | py | Python | grakel/kernels/_isomorphism/__init__.py | vishalbelsare/GraKeL | 1330c7ee4e66e6b273bcad83fff5be5df3230128 | [
"BSD-3-Clause"
] | null | null | null | grakel/kernels/_isomorphism/__init__.py | vishalbelsare/GraKeL | 1330c7ee4e66e6b273bcad83fff5be5df3230128 | [
"BSD-3-Clause"
] | null | null | null | grakel/kernels/_isomorphism/__init__.py | vishalbelsare/GraKeL | 1330c7ee4e66e6b273bcad83fff5be5df3230128 | [
"BSD-3-Clause"
] | null | null | null | """Init file for the _isomorphism submodule project."""
# Author: Ioannis Siglidis <y.siglidis@gmail.com>
# This file is a modification and extension of the [GNU LPGL] licensed
# PyBliss which can be found at: http://www.tcs.hut.fi/Software/bliss/
# PyBliss and Bliss are copyright of their respective owners.
# License:... | 34.583333 | 70 | 0.749398 | from grakel.kernels._isomorphism.bliss import Graph
__all__ = [
"Graph",
]
| true | true |
1c44e4e779a113971e0da7c7ed64813dda5530f5 | 11,232 | py | Python | custom_components/hacs/hacsbase/hacs.py | Lucstricke/integration | 1543686f3d99c8f16ec4fc37b2edd70b2a3e29a5 | [
"MIT"
] | 1 | 2021-12-12T18:19:48.000Z | 2021-12-12T18:19:48.000Z | custom_components/hacs/hacsbase/hacs.py | Lucstricke/integration | 1543686f3d99c8f16ec4fc37b2edd70b2a3e29a5 | [
"MIT"
] | null | null | null | custom_components/hacs/hacsbase/hacs.py | Lucstricke/integration | 1543686f3d99c8f16ec4fc37b2edd70b2a3e29a5 | [
"MIT"
] | null | null | null | """Initialize the HACS base."""
from datetime import timedelta
from aiogithubapi import GitHubException
from aiogithubapi.exceptions import GitHubNotModifiedException
from custom_components.hacs.helpers import HacsHelpers
from custom_components.hacs.helpers.functions.get_list_from_default import (
async_get_list_... | 38.597938 | 105 | 0.631855 | from datetime import timedelta
from aiogithubapi import GitHubException
from aiogithubapi.exceptions import GitHubNotModifiedException
from custom_components.hacs.helpers import HacsHelpers
from custom_components.hacs.helpers.functions.get_list_from_default import (
async_get_list_from_default,
)
from custom_comp... | true | true |
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