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ba7a7f5e07b2f50227a9c41fe73ef0dfe7c67fc3 | 2,206 | py | Python | Trials_Practice/Upload_csv.py | ikhedr/flask_api | 7c9260761fc8e6faf1c06393c2b353046759a504 | [
"MIT"
] | null | null | null | Trials_Practice/Upload_csv.py | ikhedr/flask_api | 7c9260761fc8e6faf1c06393c2b353046759a504 | [
"MIT"
] | null | null | null | Trials_Practice/Upload_csv.py | ikhedr/flask_api | 7c9260761fc8e6faf1c06393c2b353046759a504 | [
"MIT"
] | null | null | null |
from flask import Flask, make_response, request, render_template, jsonify
import io
import csv
from flask_pymongo import PyMongo
import pandas as pd
import json
from bson import ObjectId
app = Flask(__name__,template_folder='templates')
#Database name
app.config['MONGO_DBNAME'] = 'tickets'
# use mla... | 27.234568 | 97 | 0.614234 |
from flask import Flask, make_response, request, render_template, jsonify
import io
import csv
from flask_pymongo import PyMongo
import pandas as pd
import json
from bson import ObjectId
class JSONEncoder(json.JSONEncoder):
def default(self, o):
if isinstance(o, ObjectId):
return s... | 1,344 | 15 | 145 |
6bdfdf4be7e83844f47e16b120d585a3a134532e | 1,408 | py | Python | tests/test_cron_parsing.py | koaning/skedulord | dcd505b3f1ce554bb380464a95f2a2e3ced915ba | [
"MIT"
] | 26 | 2019-10-18T11:44:58.000Z | 2021-07-18T19:14:50.000Z | tests/test_cron_parsing.py | koaning/skedulord | dcd505b3f1ce554bb380464a95f2a2e3ced915ba | [
"MIT"
] | 31 | 2019-10-18T10:17:03.000Z | 2021-07-20T18:40:31.000Z | tests/test_cron_parsing.py | koaning/skedulord | dcd505b3f1ce554bb380464a95f2a2e3ced915ba | [
"MIT"
] | 3 | 2019-10-24T17:39:11.000Z | 2021-07-19T22:58:14.000Z | import pytest
from skedulord.cron import parse_job_from_settings, Cron
checks = [
{
"name": "foo",
"command": "python foobar.py",
"arguments": {"hello": "world"},
"expected": "python foobar.py --hello world",
},
{
"name": "foo",
"command": "python foobar.py",... | 31.288889 | 69 | 0.589489 | import pytest
from skedulord.cron import parse_job_from_settings, Cron
checks = [
{
"name": "foo",
"command": "python foobar.py",
"arguments": {"hello": "world"},
"expected": "python foobar.py --hello world",
},
{
"name": "foo",
"command": "python foobar.py",... | 0 | 0 | 0 |
f4a5bfd3e7304c0be1b2b645ff0a8eae130a1af0 | 1,354 | py | Python | src/example_lambda_switch_GYQ.py | ShuhuaGao/bcn_ss | 7f0a46e1ed94e6c4d9df114e8d241b61dc551d85 | [
"MIT"
] | null | null | null | src/example_lambda_switch_GYQ.py | ShuhuaGao/bcn_ss | 7f0a46e1ed94e6c4d9df114e8d241b61dc551d85 | [
"MIT"
] | null | null | null | src/example_lambda_switch_GYQ.py | ShuhuaGao/bcn_ss | 7f0a46e1ed94e6c4d9df114e8d241b61dc551d85 | [
"MIT"
] | null | null | null | """
The BCN example for the $\lambda$ switch genetic network.
Solved using the algebraic method developed by Yuqian Guo etc.
Guo, Yuqian, Pan Wang, Weihua Gui, and Chunhua Yang. "Set stability and set stabilization of Boolean control networks
based on invariant subsets." Automatica 61 (2015): 106-112.
Please refer to... | 45.133333 | 130 | 0.733383 | """
The BCN example for the $\lambda$ switch genetic network.
Solved using the algebraic method developed by Yuqian Guo etc.
Guo, Yuqian, Pan Wang, Weihua Gui, and Chunhua Yang. "Set stability and set stabilization of Boolean control networks
based on invariant subsets." Automatica 61 (2015): 106-112.
Please refer to... | 0 | 0 | 0 |
8a7b49d233c311a1f29d4384c84df96155c78959 | 1,594 | py | Python | compiler/drc/drc_lut.py | bsg-external/OpenRAM | 3c5e13f95c925a204cabf052525c3de07638168f | [
"BSD-3-Clause"
] | 2 | 2019-12-30T11:41:21.000Z | 2020-02-15T00:15:32.000Z | compiler/drc/drc_lut.py | bsg-external/OpenRAM | 3c5e13f95c925a204cabf052525c3de07638168f | [
"BSD-3-Clause"
] | null | null | null | compiler/drc/drc_lut.py | bsg-external/OpenRAM | 3c5e13f95c925a204cabf052525c3de07638168f | [
"BSD-3-Clause"
] | null | null | null | # See LICENSE for licensing information.
#
# Copyright (c) 2016-2019 Regents of the University of California and The Board
# of Regents for the Oklahoma Agricultural and Mechanical College
# (acting for and on behalf of Oklahoma State University)
# All rights reserved.
#
import debug
class drc_lut():
"""
Impl... | 31.254902 | 81 | 0.611669 | # See LICENSE for licensing information.
#
# Copyright (c) 2016-2019 Regents of the University of California and The Board
# of Regents for the Oklahoma Agricultural and Mechanical College
# (acting for and on behalf of Oklahoma State University)
# All rights reserved.
#
import debug
class drc_lut():
"""
Impl... | 32 | 0 | 26 |
887641a2bebb998c21c8e920bef147a42f4da788 | 3,779 | py | Python | traits_futures/testing/test_assistant.py | enthought/traits-futures | 4b20376d95e83a76d77ce10e024ec4527c27d5d0 | [
"BSD-3-Clause"
] | 10 | 2019-02-08T15:52:18.000Z | 2021-12-14T03:13:41.000Z | traits_futures/testing/test_assistant.py | enthought/traits-futures | 4b20376d95e83a76d77ce10e024ec4527c27d5d0 | [
"BSD-3-Clause"
] | 244 | 2019-02-05T17:18:15.000Z | 2022-03-12T10:55:20.000Z | traits_futures/testing/test_assistant.py | enthought/traits-futures | 4b20376d95e83a76d77ce10e024ec4527c27d5d0 | [
"BSD-3-Clause"
] | 1 | 2021-07-06T07:18:21.000Z | 2021-07-06T07:18:21.000Z | # (C) Copyright 2018-2021 Enthought, Inc., Austin, TX
# All rights reserved.
#
# This software is provided without warranty under the terms of the BSD
# license included in LICENSE.txt and may be redistributed only under
# the conditions described in the aforementioned license. The license
# is also available online at... | 35.317757 | 78 | 0.686954 | # (C) Copyright 2018-2021 Enthought, Inc., Austin, TX
# All rights reserved.
#
# This software is provided without warranty under the terms of the BSD
# license included in LICENSE.txt and may be redistributed only under
# the conditions described in the aforementioned license. The license
# is also available online at... | 252 | 0 | 54 |
e81a600a39c87d345b0ba2782aa9a4cb4211ccf5 | 132 | py | Python | research/utils.py | nazariinyzhnyk/2048RL | ef9e02329daab31e187a0c6757a6c4c5ace6848e | [
"MIT"
] | null | null | null | research/utils.py | nazariinyzhnyk/2048RL | ef9e02329daab31e187a0c6757a6c4c5ace6848e | [
"MIT"
] | null | null | null | research/utils.py | nazariinyzhnyk/2048RL | ef9e02329daab31e187a0c6757a6c4c5ace6848e | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
| 16.5 | 40 | 0.689394 | import matplotlib.pyplot as plt
def plot_scores(scores, title='scores'):
plt.plot(scores)
plt.title(title)
plt.show()
| 76 | 0 | 23 |
7c0f286a698be8772e172df54c301fbd5008684f | 53,604 | py | Python | src/dsloader/graphrnn_data.py | willshiao/brgan | 99d1627176a59811bf9032ef1f99d6e7261095fb | [
"MIT"
] | 1 | 2021-10-03T15:58:48.000Z | 2021-10-03T15:58:48.000Z | src/dsloader/graphrnn_data.py | willshiao/brgan | 99d1627176a59811bf9032ef1f99d6e7261095fb | [
"MIT"
] | null | null | null | src/dsloader/graphrnn_data.py | willshiao/brgan | 99d1627176a59811bf9032ef1f99d6e7261095fb | [
"MIT"
] | null | null | null | # From https://github.com/snap-stanford/GraphRNN/blob/1ef475d957414d7c0bf8c778a1d44cb52dd7829b/data.py
import torch
import torchvision as tv
import torch.nn as nn
from torch.autograd import Variable
import matplotlib.pyplot as plt
from random import shuffle
import networkx as nx
import pickle as pkl
import scipy.spar... | 38.956395 | 148 | 0.611876 | # From https://github.com/snap-stanford/GraphRNN/blob/1ef475d957414d7c0bf8c778a1d44cb52dd7829b/data.py
import torch
import torchvision as tv
import torch.nn as nn
from torch.autograd import Variable
import matplotlib.pyplot as plt
from random import shuffle
import networkx as nx
import pickle as pkl
import scipy.spar... | 38,981 | 264 | 1,235 |
ec4fbfea814638e5d2902ef844b6584d645ad00b | 2,615 | py | Python | argo_workflow_tools/dsl/condition.py | DiagnosticRobotics/argo-workflow-tools | 8e14948bd9087bfad970cb90da08bdb8726fbe1b | [
"Apache-2.0"
] | 15 | 2021-12-08T20:57:52.000Z | 2022-03-23T19:41:29.000Z | argo_workflow_tools/dsl/condition.py | DiagnosticRobotics/argo-workflow-tools | 8e14948bd9087bfad970cb90da08bdb8726fbe1b | [
"Apache-2.0"
] | 18 | 2021-12-07T07:49:17.000Z | 2022-03-02T10:27:49.000Z | argo_workflow_tools/dsl/condition.py | DiagnosticRobotics/argo-workflow-tools | 8e14948bd9087bfad970cb90da08bdb8726fbe1b | [
"Apache-2.0"
] | 3 | 2022-01-09T08:19:11.000Z | 2022-02-09T15:20:08.000Z | import contextlib
import json
from dataclasses import dataclass
from argo_workflow_tools.dsl import building_mode_context as context
from argo_workflow_tools.dsl.input_definition import InputDefinition
from argo_workflow_tools.dsl.workflow_template_collector import (
push_condition,
pop_condition,
)
@datacla... | 24.439252 | 80 | 0.603442 | import contextlib
import json
from dataclasses import dataclass
from argo_workflow_tools.dsl import building_mode_context as context
from argo_workflow_tools.dsl.input_definition import InputDefinition
from argo_workflow_tools.dsl.workflow_template_collector import (
push_condition,
pop_condition,
)
def extra... | 1,646 | 542 | 90 |
aaaaed43af8bc3be6a42b68a13f8d1b6417e9d1b | 7,581 | py | Python | bob/db/iris/example/backprop.py | bioidiap/bob.db.iris | beadb65ec2d978ea1c7fd300ff107646f3137c4e | [
"BSD-3-Clause"
] | null | null | null | bob/db/iris/example/backprop.py | bioidiap/bob.db.iris | beadb65ec2d978ea1c7fd300ff107646f3137c4e | [
"BSD-3-Clause"
] | 1 | 2016-07-29T13:33:22.000Z | 2016-07-29T14:53:35.000Z | bob/db/iris/example/backprop.py | bioidiap/bob.db.iris | beadb65ec2d978ea1c7fd300ff107646f3137c4e | [
"BSD-3-Clause"
] | 2 | 2016-03-08T11:17:50.000Z | 2018-05-17T14:46:39.000Z | #!/usr/bin/env python
# vim: set fileencoding=utf-8 :
# Andre Anjos <andre.anjos@idiap.ch>
# Tue Jul 19 11:50:08 2011 +0200
#
# Copyright (C) 2011-2013 Idiap Research Institute, Martigny, Switzerland
"""This example shows how to use the Iris Flower (Fisher's) Dataset to create
3-class classifier based on Neural Networ... | 31.197531 | 106 | 0.673262 | #!/usr/bin/env python
# vim: set fileencoding=utf-8 :
# Andre Anjos <andre.anjos@idiap.ch>
# Tue Jul 19 11:50:08 2011 +0200
#
# Copyright (C) 2011-2013 Idiap Research Institute, Martigny, Switzerland
"""This example shows how to use the Iris Flower (Fisher's) Dataset to create
3-class classifier based on Neural Networ... | 980 | 0 | 23 |
7d30be9bcf9233d87b2105366e0d928691d092d6 | 2,831 | py | Python | dron_services/servicio_videos.py | ppsirg/arqbot | ee0a5f0517fc3676d8073c1b1d88268aac88cc94 | [
"MIT"
] | null | null | null | dron_services/servicio_videos.py | ppsirg/arqbot | ee0a5f0517fc3676d8073c1b1d88268aac88cc94 | [
"MIT"
] | 4 | 2021-03-10T13:15:34.000Z | 2022-02-27T02:22:05.000Z | dron_services/servicio_videos.py | ppsirg/arqbot | ee0a5f0517fc3676d8073c1b1d88268aac88cc94 | [
"MIT"
] | 1 | 2020-04-02T16:24:34.000Z | 2020-04-02T16:24:34.000Z | """
Servicio videos.
"""
from tornado.web import RequestHandler
from tornado.gen import sleep
from tornado.ioloop import IOLoop
from tornado.httpclient import AsyncHTTPClient, HTTPRequest
from time import time
import os
from subprocess import call
rootFolder = os.path.dirname(os.path.abspath(os.path.dirname(__file__)... | 33.702381 | 89 | 0.614977 | """
Servicio videos.
"""
from tornado.web import RequestHandler
from tornado.gen import sleep
from tornado.ioloop import IOLoop
from tornado.httpclient import AsyncHTTPClient, HTTPRequest
from time import time
import os
from subprocess import call
rootFolder = os.path.dirname(os.path.abspath(os.path.dirname(__file__)... | 217 | 0 | 27 |
c43ee33f35fefa6284437e2cea1456c51977314a | 5,543 | py | Python | scripts/tebreak/tebreak_post.py | TalRichter/mcclintock | 93369eff1c192132d8b27830310d149e53a2b608 | [
"Unlicense"
] | 62 | 2015-01-18T15:30:48.000Z | 2022-03-06T08:23:40.000Z | scripts/tebreak/tebreak_post.py | TalRichter/mcclintock | 93369eff1c192132d8b27830310d149e53a2b608 | [
"Unlicense"
] | 49 | 2015-01-20T12:57:45.000Z | 2022-03-22T15:05:46.000Z | scripts/tebreak/tebreak_post.py | TalRichter/mcclintock | 93369eff1c192132d8b27830310d149e53a2b608 | [
"Unlicense"
] | 28 | 2015-01-21T21:14:46.000Z | 2022-02-20T21:43:31.000Z | import os
import sys
import subprocess
import importlib.util as il
spec = il.spec_from_file_location("config", snakemake.params.config)
config = il.module_from_spec(spec)
sys.modules[spec.name] = config
spec.loader.exec_module(config)
sys.path.append(snakemake.config['args']['mcc_path'])
import scripts.mccutils as mccu... | 54.343137 | 125 | 0.655962 | import os
import sys
import subprocess
import importlib.util as il
spec = il.spec_from_file_location("config", snakemake.params.config)
config = il.module_from_spec(spec)
sys.modules[spec.name] = config
spec.loader.exec_module(config)
sys.path.append(snakemake.config['args']['mcc_path'])
import scripts.mccutils as mccu... | 5,083 | 0 | 46 |
53b59309701b2e3c3cf1f30105681dee5303295e | 35 | py | Python | homeassistant/components/clicksend_tts/__init__.py | domwillcode/home-assistant | f170c80bea70c939c098b5c88320a1c789858958 | [
"Apache-2.0"
] | 30,023 | 2016-04-13T10:17:53.000Z | 2020-03-02T12:56:31.000Z | homeassistant/components/clicksend_tts/__init__.py | jagadeeshvenkatesh/core | 1bd982668449815fee2105478569f8e4b5670add | [
"Apache-2.0"
] | 31,101 | 2020-03-02T13:00:16.000Z | 2022-03-31T23:57:36.000Z | homeassistant/components/clicksend_tts/__init__.py | jagadeeshvenkatesh/core | 1bd982668449815fee2105478569f8e4b5670add | [
"Apache-2.0"
] | 11,956 | 2016-04-13T18:42:31.000Z | 2020-03-02T09:32:12.000Z | """The clicksend_tts component."""
| 17.5 | 34 | 0.714286 | """The clicksend_tts component."""
| 0 | 0 | 0 |
3c97dfea60504a48b67c6df474b86cb87dcbf717 | 5,175 | py | Python | registry/views.py | gutma-org/droneregistry | 4be915d8cd3b8217564e9b3bf18c4a24c2d42208 | [
"Apache-2.0"
] | 4 | 2018-09-30T06:46:25.000Z | 2019-10-17T03:17:32.000Z | registry/views.py | gutma-org/droneregistry | 4be915d8cd3b8217564e9b3bf18c4a24c2d42208 | [
"Apache-2.0"
] | 4 | 2019-04-29T14:25:40.000Z | 2020-01-31T08:52:52.000Z | registry/views.py | gutma-org/droneregistry | 4be915d8cd3b8217564e9b3bf18c4a24c2d42208 | [
"Apache-2.0"
] | 2 | 2019-07-08T12:39:47.000Z | 2020-12-13T10:13:05.000Z | import datetime
import json
from datetime import datetime
from django.core.exceptions import PermissionDenied
from django.http import Http404
from django.shortcuts import get_object_or_404, redirect, render
from django.template import loader
from django.utils import translation
from django.views.generic import Templat... | 27.673797 | 107 | 0.724444 | import datetime
import json
from datetime import datetime
from django.core.exceptions import PermissionDenied
from django.http import Http404
from django.shortcuts import get_object_or_404, redirect, render
from django.template import loader
from django.utils import translation
from django.views.generic import Templat... | 1,064 | 308 | 357 |
daad79d386573062cf106741bc31d87803aa2aa7 | 1,269 | py | Python | extras/migrations/0001_initial.py | ayushganguli1769/DevelopmentRobotix | 1692c104a6f220aa1238840b791aa857a6cc7765 | [
"Apache-2.0"
] | null | null | null | extras/migrations/0001_initial.py | ayushganguli1769/DevelopmentRobotix | 1692c104a6f220aa1238840b791aa857a6cc7765 | [
"Apache-2.0"
] | 7 | 2020-02-12T02:54:35.000Z | 2022-03-12T00:06:26.000Z | extras/migrations/0001_initial.py | ayushganguli1769/DevelopmentRobotix | 1692c104a6f220aa1238840b791aa857a6cc7765 | [
"Apache-2.0"
] | 6 | 2020-02-10T16:37:38.000Z | 2021-01-28T13:39:46.000Z | # Generated by Django 2.1.7 on 2019-11-23 10:11
from django.db import migrations, models
| 34.297297 | 114 | 0.541371 | # Generated by Django 2.1.7 on 2019-11-23 10:11
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='DIY',
fields=[
('id', models.AutoField(auto... | 0 | 1,155 | 23 |
42f49270e5c8c76ba8f0b3d3bec8fee6c4419a61 | 4,707 | py | Python | csv_to_html_with_template.py | ma0c/csv_to_html | 7685a384b35b7d12d80ca99e2c118fd7172a03a3 | [
"MIT"
] | null | null | null | csv_to_html_with_template.py | ma0c/csv_to_html | 7685a384b35b7d12d80ca99e2c118fd7172a03a3 | [
"MIT"
] | null | null | null | csv_to_html_with_template.py | ma0c/csv_to_html | 7685a384b35b7d12d80ca99e2c118fd7172a03a3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import argparse
import csv
import itertools
import logging
import os
import tkinter as tk
from tkinter import filedialog
from tkinter import messagebox
LOGGER = logging.getLogger(__name__)
LOGGER.addHandler(logging.StreamHandler())
if __name__ == '__main__':
parser = argparse.ArgumentP... | 35.931298 | 125 | 0.650096 | #!/usr/bin/env python
import argparse
import csv
import itertools
import logging
import os
import tkinter as tk
from tkinter import filedialog
from tkinter import messagebox
LOGGER = logging.getLogger(__name__)
LOGGER.addHandler(logging.StreamHandler())
def generate_html(input_file_path, template_file_path, output... | 3,307 | 162 | 69 |
c0633a02cf59be1d64dde1cbe349bd83ad3c872f | 514 | py | Python | HackerEarth/Hashing/N_Coordinates_Pair.py | GSri30/Competetive_programming | 0dc1681500a80b6f0979d0dc9f749357ee07bcb8 | [
"MIT"
] | 22 | 2020-01-03T17:32:00.000Z | 2021-11-07T09:31:44.000Z | HackerEarth/Hashing/N_Coordinates_Pair.py | GSri30/Competetive_programming | 0dc1681500a80b6f0979d0dc9f749357ee07bcb8 | [
"MIT"
] | 10 | 2020-09-30T09:41:18.000Z | 2020-10-11T11:25:09.000Z | HackerEarth/Hashing/N_Coordinates_Pair.py | GSri30/Competetive_programming | 0dc1681500a80b6f0979d0dc9f749357ee07bcb8 | [
"MIT"
] | 25 | 2019-10-14T19:25:01.000Z | 2021-05-26T08:12:20.000Z | # Write your code here
import math
import numpy as np
import itertools
if __name__ == "__main__":
n = int(input())
l = []
while n > 0 :
x,y = map(int,input().split())
l.append((x,y))
n -= 1
dict = {}
for i in l :
if i in dict :
dict[i] += 1
else... | 19.037037 | 39 | 0.449416 | # Write your code here
import math
import numpy as np
import itertools
if __name__ == "__main__":
n = int(input())
l = []
while n > 0 :
x,y = map(int,input().split())
l.append((x,y))
n -= 1
dict = {}
for i in l :
if i in dict :
dict[i] += 1
else... | 0 | 0 | 0 |
3b1ea9bc06a958721fe96a8b69eddcb82bf30765 | 1,157 | py | Python | scripts/eeutils/verilog_to_latex.py | shulinye/dotfiles | a342512c33ca102d03921cc653ee4605d0cf9617 | [
"MIT"
] | 2 | 2015-01-16T22:07:10.000Z | 2015-11-09T06:45:44.000Z | scripts/eeutils/verilog_to_latex.py | shulinye/dotfiles | a342512c33ca102d03921cc653ee4605d0cf9617 | [
"MIT"
] | 4 | 2015-07-08T19:13:47.000Z | 2015-08-31T16:04:36.000Z | scripts/eeutils/verilog_to_latex.py | shulinye/dotfiles | a342512c33ca102d03921cc653ee4605d0cf9617 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
from os import path
sys.path.append(path.dirname(path.dirname(path.realpath(__file__))))
from pythonutils import gen_diffs
if __name__ == '__main__':
import argparse
| 28.219512 | 68 | 0.550562 | #!/usr/bin/env python3
import sys
from os import path
sys.path.append(path.dirname(path.dirname(path.realpath(__file__))))
from pythonutils import gen_diffs
def verilog_to_latex_timetable(filename, scale=None):
mapping = {'x':'U','1':'H','0':'L'}
lines = open(filename).readlines()
f = list(zip(*[i.strip... | 903 | 0 | 46 |
59c444b0b651be09f3bcc3ed39fcb210bedd8138 | 1,576 | py | Python | native/jni/external/selinux/python/sepolicy/sepolicy/booleans.py | Joyoe/Magisk-nosbin_magisk-nohide | 449441921740bf85926c14f41b3532822ca0eb65 | [
"MIT"
] | 2 | 2022-01-16T00:59:54.000Z | 2022-02-09T12:00:48.000Z | native/jni/external/selinux/python/sepolicy/sepolicy/booleans.py | Joyoe/Magisk-nosbin_magisk-nohide | 449441921740bf85926c14f41b3532822ca0eb65 | [
"MIT"
] | null | null | null | native/jni/external/selinux/python/sepolicy/sepolicy/booleans.py | Joyoe/Magisk-nosbin_magisk-nohide | 449441921740bf85926c14f41b3532822ca0eb65 | [
"MIT"
] | 2 | 2022-02-09T12:00:39.000Z | 2022-02-21T18:34:46.000Z | # Copyright (C) 2012 Red Hat
# see file 'COPYING' for use and warranty information
#
# setrans is a tool for analyzing process transitions in SELinux policy
#
# This program 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... | 38.439024 | 116 | 0.689721 | # Copyright (C) 2012 Red Hat
# see file 'COPYING' for use and warranty information
#
# setrans is a tool for analyzing process transitions in SELinux policy
#
# This program 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... | 576 | 0 | 46 |
b9141e751450f23c9cef1e13fa6a61eea3ac54cd | 787 | py | Python | data/build_dict.py | valentindey/parallel-nmt | 7f4ea8cc343bc287a41c7137234c5b8c50e8cc29 | [
"MIT"
] | 1 | 2017-05-03T22:41:00.000Z | 2017-05-03T22:41:00.000Z | data/build_dict.py | valentindey/parallel-nmt | 7f4ea8cc343bc287a41c7137234c5b8c50e8cc29 | [
"MIT"
] | null | null | null | data/build_dict.py | valentindey/parallel-nmt | 7f4ea8cc343bc287a41c7137234c5b8c50e8cc29 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# generates a dictionary in json format, with the
import json
from collections import Counter
import click
@click.command()
@click.argument("input-file", type=click.Path(exists=True, dir_okay=False))
@click.argument("output-file", type=click.Path(exists=False, dir_okay=False))
@click.option(... | 24.59375 | 77 | 0.673443 | #! /usr/bin/env python
# generates a dictionary in json format, with the
import json
from collections import Counter
import click
@click.command()
@click.argument("input-file", type=click.Path(exists=True, dir_okay=False))
@click.argument("output-file", type=click.Path(exists=False, dir_okay=False))
@click.option(... | 356 | 0 | 22 |
a207f491314f5358ca796d65f48b7de02bd8ef96 | 5,211 | py | Python | vm_network_migration/handlers/backend_service_migration/global_backend_service_migration.py | googleinterns/vm-network-migration | 1132e44d696ab9da4d1079ebc3d32ed4382cdc28 | [
"Apache-2.0"
] | 1 | 2020-05-27T00:30:47.000Z | 2020-05-27T00:30:47.000Z | vm_network_migration/handlers/backend_service_migration/global_backend_service_migration.py | yueMaHello/vm-network-migration | 4a6bdbb2952fb8ee8022b5c0452159329a79e953 | [
"Apache-2.0"
] | 1 | 2020-06-03T15:51:20.000Z | 2020-06-03T15:51:20.000Z | vm_network_migration/handlers/backend_service_migration/global_backend_service_migration.py | yueMaHello/vm-network-migration | 4a6bdbb2952fb8ee8022b5c0452159329a79e953 | [
"Apache-2.0"
] | 3 | 2020-06-03T15:17:00.000Z | 2020-06-20T08:39:50.000Z | # Copyright 2020 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 44.161017 | 106 | 0.631741 | # Copyright 2020 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 0 | 4,108 | 23 |
bb55e369cdbe339f05b27a95ade41b35b65ca73c | 4,186 | py | Python | dev0s/classes/requests/__init__.py | vandenberghinc/dev0s | 1c9629e2a81ad111fd3e74929aaeb05c97be0276 | [
"MIT"
] | 1 | 2021-03-09T20:14:29.000Z | 2021-03-09T20:14:29.000Z | dev0s/classes/requests/__init__.py | vandenberghinc/dev0s | 1c9629e2a81ad111fd3e74929aaeb05c97be0276 | [
"MIT"
] | null | null | null | dev0s/classes/requests/__init__.py | vandenberghinc/dev0s | 1c9629e2a81ad111fd3e74929aaeb05c97be0276 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# imports.
from dev0s.classes.response import *
from dev0s.classes.defaults import objects
from dev0s.classes.response import response as _response_
# pip imports.
from bs4 import BeautifulSoup as bs4
import urllib
import requests as __requests__
# the requests class.
... | 27.721854 | 172 | 0.671763 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# imports.
from dev0s.classes.response import *
from dev0s.classes.defaults import objects
from dev0s.classes.response import response as _response_
# pip imports.
from bs4 import BeautifulSoup as bs4
import urllib
import requests as __requests__
# the requests class.
c... | 3,473 | 323 | 22 |
676efc672a854428d7b8e4db3710def76c588c68 | 3,739 | py | Python | accelerators/extract_transform_load/test/save_events.py | antara678/aws-iot-greengrass-accelerators | f3a747fa15013a488313bfc2fc463e9fa75c7b07 | [
"MIT-0"
] | 47 | 2019-09-13T09:22:44.000Z | 2022-03-04T12:19:03.000Z | accelerators/extract_transform_load/test/save_events.py | antara678/aws-iot-greengrass-accelerators | f3a747fa15013a488313bfc2fc463e9fa75c7b07 | [
"MIT-0"
] | 5 | 2020-04-13T02:43:47.000Z | 2021-11-16T19:44:22.000Z | accelerators/extract_transform_load/test/save_events.py | antara678/aws-iot-greengrass-accelerators | f3a747fa15013a488313bfc2fc463e9fa75c7b07 | [
"MIT-0"
] | 27 | 2019-09-13T18:19:42.000Z | 2022-02-21T21:13:32.000Z | #!/usr/bin/env python
"""Extracts messages from CAN Bus interface and save to file"""
import os
import time
import threading
import queue
import zipfile
import can
from can import Message
# List of OBD-II parameter Ids to query
PIDS = {
"vehicle_speed": Message(
arbitration_id=0x7DF,
extended_id=... | 28.761538 | 96 | 0.635197 | #!/usr/bin/env python
"""Extracts messages from CAN Bus interface and save to file"""
import os
import time
import threading
import queue
import zipfile
import can
from can import Message
# List of OBD-II parameter Ids to query
PIDS = {
"vehicle_speed": Message(
arbitration_id=0x7DF,
extended_id=... | 0 | 0 | 0 |
5d89f77812ea91179a7117b011b27c5dde6bd79d | 248 | py | Python | site-packages/psycopg2cffi/_impl/libpq.py | cdepman/falcon_api | 42d2ec646a8af5c4bd62460af5a227c805d0a825 | [
"MIT"
] | null | null | null | site-packages/psycopg2cffi/_impl/libpq.py | cdepman/falcon_api | 42d2ec646a8af5c4bd62460af5a227c805d0a825 | [
"MIT"
] | null | null | null | site-packages/psycopg2cffi/_impl/libpq.py | cdepman/falcon_api | 42d2ec646a8af5c4bd62460af5a227c805d0a825 | [
"MIT"
] | null | null | null | try:
from psycopg2cffi._impl._libpq import ffi, lib as libpq
except ImportError:
from psycopg2cffi._impl._build_libpq import ffi, C_SOURCE, C_SOURCE_KWARGS
libpq = ffi.verify(C_SOURCE, **C_SOURCE_KWARGS)
PG_VERSION = libpq._PG_VERSION
| 31 | 78 | 0.782258 | try:
from psycopg2cffi._impl._libpq import ffi, lib as libpq
except ImportError:
from psycopg2cffi._impl._build_libpq import ffi, C_SOURCE, C_SOURCE_KWARGS
libpq = ffi.verify(C_SOURCE, **C_SOURCE_KWARGS)
PG_VERSION = libpq._PG_VERSION
| 0 | 0 | 0 |
e013b2c21bd1fa2c8cd24a2ef53e15d8e7fb3cb8 | 4,420 | py | Python | yuuhpizzakebab/pizza/models.py | lex/yuuh-pizza-kebab | 532d931e89e67b94ce77a62e862fa3aca796401e | [
"BSD-2-Clause"
] | null | null | null | yuuhpizzakebab/pizza/models.py | lex/yuuh-pizza-kebab | 532d931e89e67b94ce77a62e862fa3aca796401e | [
"BSD-2-Clause"
] | 1 | 2016-09-26T13:50:26.000Z | 2016-10-01T22:20:27.000Z | yuuhpizzakebab/pizza/models.py | lex/yuuh-pizza-kebab | 532d931e89e67b94ce77a62e862fa3aca796401e | [
"BSD-2-Clause"
] | null | null | null | import re
from sqlalchemy import text
from yuuhpizzakebab import db
from yuuhpizzakebab.topping.models import Topping
class Pizza():
"""The pizza class.
variables:
id - id of the pizza
name - name of the pizza
price - price of the pizza in USD
image_url - image of the pizza
topp... | 24.971751 | 111 | 0.578959 | import re
from sqlalchemy import text
from yuuhpizzakebab import db
from yuuhpizzakebab.topping.models import Topping
def get_pizzas():
result = db.engine.execute('select * from Pizza')
pizzas = []
for r in result:
pizza_id = int(r[0])
toppings = get_toppings_for_pizza(pizza_id)
... | 3,510 | 0 | 478 |
453b6183a8fbcb8770aff91114a3446fef2f84ea | 1,061 | py | Python | bottery/patterns.py | rennerocha/bottery | a082cfa1c21f9aa32ea1526ea3004b581f9e0cd4 | [
"MIT"
] | null | null | null | bottery/patterns.py | rennerocha/bottery | a082cfa1c21f9aa32ea1526ea3004b581f9e0cd4 | [
"MIT"
] | null | null | null | bottery/patterns.py | rennerocha/bottery | a082cfa1c21f9aa32ea1526ea3004b581f9e0cd4 | [
"MIT"
] | null | null | null | from .handlers import (DefaultHandler, MessageHandler, RegexHandler,
StartswithHandler)
| 27.205128 | 75 | 0.622055 | from .handlers import (DefaultHandler, MessageHandler, RegexHandler,
StartswithHandler)
class Patterns:
def __init__(self):
self.registered = []
def register(self, handler, view, pattern=None, *args, **kwargs):
self.registered.append((handler(pattern, *args, **kwargs), ... | 771 | -6 | 184 |
dc4670578de7ec629c7aeff2917612d2a77e5d4a | 23,694 | py | Python | usaspending_api/bulk_download/tests/test_download.py | bminahankcfrb/usaspending-api | 1fb5c4c261edf91ab2930aea7928ca24dfa49123 | [
"CC0-1.0"
] | null | null | null | usaspending_api/bulk_download/tests/test_download.py | bminahankcfrb/usaspending-api | 1fb5c4c261edf91ab2930aea7928ca24dfa49123 | [
"CC0-1.0"
] | null | null | null | usaspending_api/bulk_download/tests/test_download.py | bminahankcfrb/usaspending-api | 1fb5c4c261edf91ab2930aea7928ca24dfa49123 | [
"CC0-1.0"
] | null | null | null | import json
import pytest
from model_mommy import mommy
from rest_framework import status
from unittest.mock import Mock
from usaspending_api.awards.models import (
TransactionNormalized,
TransactionFABS,
TransactionFPDS,
Subaward,
BrokerSubaward,
)
from usaspending_api.awards.v2.lookups.lookups i... | 33.046025 | 120 | 0.644805 | import json
import pytest
from model_mommy import mommy
from rest_framework import status
from unittest.mock import Mock
from usaspending_api.awards.models import (
TransactionNormalized,
TransactionFABS,
TransactionFPDS,
Subaward,
BrokerSubaward,
)
from usaspending_api.awards.v2.lookups.lookups i... | 20,208 | 0 | 183 |
de039b35d092eaddc2b6f0193a2d900be0fc584b | 7,645 | py | Python | art_generation/model.py | IDmy/deep-learning-models | ab8777258aa2023f203b9292355949ba8965c198 | [
"MIT"
] | 1 | 2018-05-06T18:50:09.000Z | 2018-05-06T18:50:09.000Z | art_generation/model.py | IDmy/deep-learning-models | ab8777258aa2023f203b9292355949ba8965c198 | [
"MIT"
] | null | null | null | art_generation/model.py | IDmy/deep-learning-models | ab8777258aa2023f203b9292355949ba8965c198 | [
"MIT"
] | null | null | null | import os
import sys
import scipy.io
import scipy.misc
import matplotlib.pyplot as plt
from matplotlib.pyplot import imshow
from PIL import Image
from utils import *
import numpy as np
import tensorflow as tf
def content_cost(a_C, a_G):
"""
Computes the content cost
Arguments:
a_C -- tensor of di... | 31.204082 | 124 | 0.678613 | import os
import sys
import scipy.io
import scipy.misc
import matplotlib.pyplot as plt
from matplotlib.pyplot import imshow
from PIL import Image
from utils import *
import numpy as np
import tensorflow as tf
def content_cost(a_C, a_G):
"""
Computes the content cost
Arguments:
a_C -- tensor of di... | 1,197 | 0 | 23 |
69fb7e42e2d590adba3677bed7a63c7c09bcbca3 | 2,032 | py | Python | mentorbot/MenteeRequests/migrations/0002_auto_20180721_1600.py | MentorBot/Webhook | 696ce15f41d1c15a6cae336c41f3e56e4a3e5056 | [
"Unlicense"
] | 2 | 2018-06-04T10:46:09.000Z | 2020-06-02T14:48:44.000Z | mentorbot/MenteeRequests/migrations/0002_auto_20180721_1600.py | MentorBot/Webhook | 696ce15f41d1c15a6cae336c41f3e56e4a3e5056 | [
"Unlicense"
] | 4 | 2018-07-18T13:16:50.000Z | 2021-09-07T23:41:25.000Z | mentorbot/MenteeRequests/migrations/0002_auto_20180721_1600.py | MentorBot/Webhook | 696ce15f41d1c15a6cae336c41f3e56e4a3e5056 | [
"Unlicense"
] | null | null | null | # Generated by Django 2.0.2 on 2018-07-21 16:00
from django.db import migrations, models
import django.db.models.deletion
| 36.285714 | 151 | 0.59498 | # Generated by Django 2.0.2 on 2018-07-21 16:00
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('MentorDetails', '0003_auto_20180721_1600'),
('MenteeRequests', '0001_initial'),
]
operations = [
mi... | 0 | 1,885 | 23 |
82dac7b29f41675e49947a6befb26517c5d70064 | 1,352 | py | Python | Python/logest_vowel_chain.py | shloch/CODING_PRACTICE | c79ed3c2b576d133fd7a446b0fd954362cf54b22 | [
"MIT"
] | null | null | null | Python/logest_vowel_chain.py | shloch/CODING_PRACTICE | c79ed3c2b576d133fd7a446b0fd954362cf54b22 | [
"MIT"
] | null | null | null | Python/logest_vowel_chain.py | shloch/CODING_PRACTICE | c79ed3c2b576d133fd7a446b0fd954362cf54b22 | [
"MIT"
] | 1 | 2022-03-12T06:43:31.000Z | 2022-03-12T06:43:31.000Z | # The vowel substrings in the word codewarriors are o,e,a,io.
# The longest of these has a length of 2. Given a lowercase string that has
# alphabetic characters only (both vowels and consonants) and no spaces,
# return the length of the longest vowel substring. Vowels are any of aeiou.
# Good luck!
# If you lik... | 32.190476 | 82 | 0.657544 | # The vowel substrings in the word codewarriors are o,e,a,io.
# The longest of these has a length of 2. Given a lowercase string that has
# alphabetic characters only (both vowels and consonants) and no spaces,
# return the length of the longest vowel substring. Vowels are any of aeiou.
# Good luck!
# If you lik... | 472 | 0 | 23 |
b9311dc9b6d2c8e5ef3d1eeaad37476bb0b3a3a9 | 18,356 | py | Python | numpy/linalg/_umath_linalg.py | Squarecap/numpy | 1172b039950db72ae8452e9f65b5fd7cac977a23 | [
"BSD-3-Clause"
] | 195 | 2016-01-14T16:03:02.000Z | 2021-12-29T09:15:02.000Z | numpy/linalg/_umath_linalg.py | Squarecap/numpy | 1172b039950db72ae8452e9f65b5fd7cac977a23 | [
"BSD-3-Clause"
] | 75 | 2016-01-14T16:03:02.000Z | 2020-04-29T22:51:53.000Z | numpy/linalg/_umath_linalg.py | Squarecap/numpy | 1172b039950db72ae8452e9f65b5fd7cac977a23 | [
"BSD-3-Clause"
] | 11 | 2016-01-15T17:30:16.000Z | 2020-07-30T03:58:42.000Z | # calls the functions from linalg/umath_linalg.c.src via cffi rather than cpyext
# As opposed to the numpy version, this version leaves broadcasting to the responsibility
# of the pypy extended frompyfunc, so the _umath_linag_capi functions are always called
# with the final arguments, no broadcasting needed.
import os... | 44.338164 | 99 | 0.492537 | # calls the functions from linalg/umath_linalg.c.src via cffi rather than cpyext
# As opposed to the numpy version, this version leaves broadcasting to the responsibility
# of the pypy extended frompyfunc, so the _umath_linag_capi functions are always called
# with the final arguments, no broadcasting needed.
import os... | 4,298 | 8 | 274 |
2f15d94bb5952d1b83877da4038f29d1e7be7afa | 593 | py | Python | abc/abc058/c/main.py | tonko2/AtCoder | 5d617072517881d226d7c8af09cb88684d41af7e | [
"Xnet",
"X11",
"CECILL-B"
] | 2 | 2022-01-22T07:56:58.000Z | 2022-01-24T00:29:37.000Z | abc/abc058/c/main.py | tonko2/AtCoder | 5d617072517881d226d7c8af09cb88684d41af7e | [
"Xnet",
"X11",
"CECILL-B"
] | null | null | null | abc/abc058/c/main.py | tonko2/AtCoder | 5d617072517881d226d7c8af09cb88684d41af7e | [
"Xnet",
"X11",
"CECILL-B"
] | null | null | null | import sys
import math
from collections import defaultdict, deque
sys.setrecursionlimit(10 ** 6)
stdin = sys.stdin
INF = float('inf')
ni = lambda: int(ns())
na = lambda: list(map(int, stdin.readline().split()))
ns = lambda: stdin.readline().strip()
N = ni()
S = [ns() for _ in range(N)]
dd = []
for i in range(N):
... | 16.472222 | 53 | 0.56661 | import sys
import math
from collections import defaultdict, deque
sys.setrecursionlimit(10 ** 6)
stdin = sys.stdin
INF = float('inf')
ni = lambda: int(ns())
na = lambda: list(map(int, stdin.readline().split()))
ns = lambda: stdin.readline().strip()
N = ni()
S = [ns() for _ in range(N)]
dd = []
for i in range(N):
... | 0 | 0 | 0 |
ab697d8f0b6ccf9123ec9e737805074a4777f282 | 126 | py | Python | mmskeleton/ops/st_gcn/__init__.py | niujunyu/mmskeleton | 0936b610f0c44e87f6886d34a9f43eda872ed6d8 | [
"Apache-2.0"
] | null | null | null | mmskeleton/ops/st_gcn/__init__.py | niujunyu/mmskeleton | 0936b610f0c44e87f6886d34a9f43eda872ed6d8 | [
"Apache-2.0"
] | null | null | null | mmskeleton/ops/st_gcn/__init__.py | niujunyu/mmskeleton | 0936b610f0c44e87f6886d34a9f43eda872ed6d8 | [
"Apache-2.0"
] | null | null | null | from .gconv_origin import ConvTemporalGraphical,ConvTemporalGraphicalBatchA,ConvTemporalGraphicalTwoA
from .graph import Graph | 63 | 101 | 0.912698 | from .gconv_origin import ConvTemporalGraphical,ConvTemporalGraphicalBatchA,ConvTemporalGraphicalTwoA
from .graph import Graph | 0 | 0 | 0 |
69a4e9305db3f2a172ab65772db16db9a9c33a41 | 258 | py | Python | albumentations/augmentations/utils.py | code-kage/albumentations | f2462be3a4d01c872474d0e7fc0f32f387b06340 | [
"MIT"
] | 6,316 | 2019-11-18T14:19:17.000Z | 2022-03-31T22:25:23.000Z | albumentations/augmentations/utils.py | code-kage/albumentations | f2462be3a4d01c872474d0e7fc0f32f387b06340 | [
"MIT"
] | 558 | 2019-11-19T00:36:01.000Z | 2022-03-30T22:04:15.000Z | albumentations/augmentations/utils.py | code-kage/albumentations | f2462be3a4d01c872474d0e7fc0f32f387b06340 | [
"MIT"
] | 889 | 2019-11-18T16:49:44.000Z | 2022-03-28T11:00:14.000Z | import cv2
__all__ = ["read_bgr_image", "read_rgb_image"]
| 19.846154 | 49 | 0.74031 | import cv2
__all__ = ["read_bgr_image", "read_rgb_image"]
def read_bgr_image(path):
return cv2.imread(path, cv2.IMREAD_COLOR)
def read_rgb_image(path):
image = cv2.imread(path, cv2.IMREAD_COLOR)
return cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
| 151 | 0 | 46 |
8f5a8a3f7052b73c3cb7df220d26698296bb1278 | 6,932 | py | Python | tests/test_extractor_api_lmpd.py | isabella232/comport | 117123862415261095a917ed7f2037c1f986b474 | [
"BSD-3-Clause"
] | 35 | 2015-11-14T18:32:45.000Z | 2022-01-23T15:15:05.000Z | tests/test_extractor_api_lmpd.py | codeforamerica/comport | 117123862415261095a917ed7f2037c1f986b474 | [
"BSD-3-Clause"
] | 119 | 2015-11-20T22:45:34.000Z | 2022-02-10T23:02:36.000Z | tests/test_extractor_api_lmpd.py | isabella232/comport | 117123862415261095a917ed7f2037c1f986b474 | [
"BSD-3-Clause"
] | 19 | 2015-11-20T20:41:52.000Z | 2022-01-26T04:12:34.000Z | # -*- coding: utf-8 -*-
import pytest
from comport.department.models import Department, Extractor
from comport.data.models import IncidentsUpdated, UseOfForceIncidentLMPD
from testclient.JSON_test_client import JSONTestClient
@pytest.mark.usefixtures('db')
| 46.837838 | 109 | 0.680323 | # -*- coding: utf-8 -*-
import pytest
from comport.department.models import Department, Extractor
from comport.data.models import IncidentsUpdated, UseOfForceIncidentLMPD
from testclient.JSON_test_client import JSONTestClient
@pytest.mark.usefixtures('db')
class TestExtractorLMPD:
def test_post_uof_data(self, tes... | 0 | 6,652 | 22 |
de9d8f2f327853de202704385252c5a5a91032c0 | 1,378 | py | Python | via_cms/view/private/user/dashboard_user.py | jeanjacquesp/via-cms | 12b212f8005e3d667c23ffc4da831e4d3e653999 | [
"MIT"
] | null | null | null | via_cms/view/private/user/dashboard_user.py | jeanjacquesp/via-cms | 12b212f8005e3d667c23ffc4da831e4d3e653999 | [
"MIT"
] | null | null | null | via_cms/view/private/user/dashboard_user.py | jeanjacquesp/via-cms | 12b212f8005e3d667c23ffc4da831e4d3e653999 | [
"MIT"
] | null | null | null | """Public section, including homepage and signup."""
# Copyright 2020 Pax Syriana Foundation. Licensed under the Apache License, Version 2.0
#
#
from flask import Blueprint
from flask_login import login_required
from via_common.multiprocess.logger_manager import LoggerManager
from via_cms.util.helper import get_loc... | 29.319149 | 104 | 0.687954 | """Public section, including homepage and signup."""
# Copyright 2020 Pax Syriana Foundation. Licensed under the Apache License, Version 2.0
#
#
from flask import Blueprint
from flask_login import login_required
from via_common.multiprocess.logger_manager import LoggerManager
from via_cms.util.helper import get_loc... | 0 | 0 | 0 |
2bc2126000e66ea84f8f088f8b42bff3b3f055d0 | 375 | py | Python | lessons/or_statement.py | thepros847/python_programiing | d177f79d0d1f21df434bf3f8663ae6469fcf8357 | [
"MIT"
] | null | null | null | lessons/or_statement.py | thepros847/python_programiing | d177f79d0d1f21df434bf3f8663ae6469fcf8357 | [
"MIT"
] | null | null | null | lessons/or_statement.py | thepros847/python_programiing | d177f79d0d1f21df434bf3f8663ae6469fcf8357 | [
"MIT"
] | null | null | null | won_bet = True
big_win = True
if won_bet or big_win:
print("You can now stop betting!")
won_bet = False
big_win = True
if won_bet or big_win:
print("You can now stop betting!")
won_bet = True
big_win = False
if won_bet or big_win:
print("You can now stop betting!")
won_bet = False
big_win = False
if ... | 16.304348 | 35 | 0.704 | won_bet = True
big_win = True
if won_bet or big_win:
print("You can now stop betting!")
won_bet = False
big_win = True
if won_bet or big_win:
print("You can now stop betting!")
won_bet = True
big_win = False
if won_bet or big_win:
print("You can now stop betting!")
won_bet = False
big_win = False
if ... | 0 | 0 | 0 |
57b693e3915dac479d4cc3a37cc08f506c6b13c3 | 1,313 | py | Python | img_classification/models.py | frgfm/torch-hawk | 05338c9939323c466a2f965ee703a74292347ea6 | [
"MIT"
] | 1 | 2019-08-15T15:22:24.000Z | 2019-08-15T15:22:24.000Z | img_classification/models.py | frgfm/TorchHawk | 05338c9939323c466a2f965ee703a74292347ea6 | [
"MIT"
] | null | null | null | img_classification/models.py | frgfm/TorchHawk | 05338c9939323c466a2f965ee703a74292347ea6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
PyTorch implementation of LeNet5
'''
import torch.nn as nn
| 32.825 | 100 | 0.44326 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
PyTorch implementation of LeNet5
'''
import torch.nn as nn
class LeNet5(nn.Module):
def __init__(self, in_channels, activation=None, pooling=None, drop_rate=0):
super(LeNet5, self).__init__()
if activation is None:
activation = nn.R... | 1,121 | 3 | 77 |
fbe0f72b5f6256a250f297ec4812e3182a30e59f | 6,280 | py | Python | pychassisctl/chassis_control.py | ouyangxx10/my-skeleton | e32e33784a1883ee4528b17617df14f3114b0f5e | [
"Apache-2.0"
] | 14 | 2021-11-04T07:47:37.000Z | 2022-03-21T10:10:30.000Z | pychassisctl/chassis_control.py | SayCV/skeleton | 1146f8c6e5f955fb10f5e846de31052be942a7f2 | [
"Apache-2.0"
] | 79 | 2015-10-27T13:27:24.000Z | 2020-05-21T16:10:34.000Z | pychassisctl/chassis_control.py | SayCV/skeleton | 1146f8c6e5f955fb10f5e846de31052be942a7f2 | [
"Apache-2.0"
] | 78 | 2015-08-31T16:22:42.000Z | 2020-07-27T15:18:53.000Z | #!/usr/bin/env python
# TODO: openbmc/openbmc#2994 remove python 2 support
try: # python 2
import gobject
except ImportError: # python 3
from gi.repository import GObject as gobject
import dbus
import dbus.service
import dbus.mainloop.glib
from obmc.dbuslib.bindings import get_dbus, DbusProperties, DbusObjec... | 33.763441 | 79 | 0.578822 | #!/usr/bin/env python
# TODO: openbmc/openbmc#2994 remove python 2 support
try: # python 2
import gobject
except ImportError: # python 3
from gi.repository import GObject as gobject
import dbus
import dbus.service
import dbus.mainloop.glib
from obmc.dbuslib.bindings import get_dbus, DbusProperties, DbusObjec... | 4,235 | 1,114 | 23 |
236686b32ff4985770047b48b55d2526ce909c80 | 499 | py | Python | CeV - Gustavo Guanabara/exerc017.py | us19861229c/Meu-aprendizado-Python | 575c0714ac5377ff3122f4cb57952969e07ba89b | [
"Unlicense"
] | 1 | 2021-12-11T19:53:41.000Z | 2021-12-11T19:53:41.000Z | CeV - Gustavo Guanabara/exerc017.py | us19861229c/Meu-aprendizado-Python | 575c0714ac5377ff3122f4cb57952969e07ba89b | [
"Unlicense"
] | null | null | null | CeV - Gustavo Guanabara/exerc017.py | us19861229c/Meu-aprendizado-Python | 575c0714ac5377ff3122f4cb57952969e07ba89b | [
"Unlicense"
] | null | null | null | #Programa que leia o cateto oposto e o adjacente de um triangulo retangulo
#e mostre o comprimento da hipotenusa
cat_o = float(input("comprimento do cateto oposto: "))
cat_a = float(input("comprimento do cateto adjacente: "))
c_hip = (cat_o ** 2 + cat_a ** 2) ** (1/2)
print(f" A hipotenusa mede {c_hip:.2f}")
import... | 29.352941 | 74 | 0.707415 | #Programa que leia o cateto oposto e o adjacente de um triangulo retangulo
#e mostre o comprimento da hipotenusa
cat_o = float(input("comprimento do cateto oposto: "))
cat_a = float(input("comprimento do cateto adjacente: "))
c_hip = (cat_o ** 2 + cat_a ** 2) ** (1/2)
print(f" A hipotenusa mede {c_hip:.2f}")
import... | 0 | 0 | 0 |
b85408e261ebdae7d5cae42388deed31f5a58c85 | 6,497 | py | Python | tests/conftest.py | mitsosf/invenio-vocabularies | 5247062cdd1a8e368b357648d53ee65ff37fc1c5 | [
"MIT"
] | null | null | null | tests/conftest.py | mitsosf/invenio-vocabularies | 5247062cdd1a8e368b357648d53ee65ff37fc1c5 | [
"MIT"
] | null | null | null | tests/conftest.py | mitsosf/invenio-vocabularies | 5247062cdd1a8e368b357648d53ee65ff37fc1c5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (C) 2020 CERN.
# Copyright (C) 2021 TU Wien.
#
# Invenio-Vocabularies is free software; you can redistribute it and/or
# modify it under the terms of the MIT License; see LICENSE file for more
# details.
"""Pytest configuration.
See https://pytest-invenio.readthedocs.io/ for docu... | 28.00431 | 79 | 0.682777 | # -*- coding: utf-8 -*-
#
# Copyright (C) 2020 CERN.
# Copyright (C) 2021 TU Wien.
#
# Invenio-Vocabularies is free software; you can redistribute it and/or
# modify it under the terms of the MIT License; see LICENSE file for more
# details.
"""Pytest configuration.
See https://pytest-invenio.readthedocs.io/ for docu... | 0 | 0 | 0 |
dbbca9cf19db385008eaaa0a7aa1c520e992234e | 438 | py | Python | casper/cp/int/spexpr/explicit.cpp.py | marcovc/casper | 752ad1c9ecb9408b0a3719a2c8727b87e2d158cf | [
"Apache-2.0"
] | 1 | 2019-06-20T17:04:06.000Z | 2019-06-20T17:04:06.000Z | casper/cp/int/spexpr/explicit.cpp.py | marcovc/casper | 752ad1c9ecb9408b0a3719a2c8727b87e2d158cf | [
"Apache-2.0"
] | null | null | null | casper/cp/int/spexpr/explicit.cpp.py | marcovc/casper | 752ad1c9ecb9408b0a3719a2c8727b87e2d158cf | [
"Apache-2.0"
] | null | null | null |
import os
import sys
libPath = os.path.abspath('casper/cp/spexpr')
sys.path.append(libPath)
import cputil
import util
print "/* THIS FILE WAS AUTOGENERATED FROM explicit.cpp.py */"
print "#include <casper/cp/spexpr/expr.h>"
print "namespace Casper {"
print "namespace Detail {"
util.printViews(False)
util.printPos... | 17.52 | 62 | 0.753425 |
import os
import sys
libPath = os.path.abspath('casper/cp/spexpr')
sys.path.append(libPath)
import cputil
import util
print "/* THIS FILE WAS AUTOGENERATED FROM explicit.cpp.py */"
print "#include <casper/cp/spexpr/expr.h>"
print "namespace Casper {"
print "namespace Detail {"
util.printViews(False)
util.printPos... | 0 | 0 | 0 |
40a3d23468636877cc485ac9e064ee3527a3dcb2 | 2,032 | py | Python | youtube_dl/extractor/lecture2go.py | builder07/ytdl | 2c0a5d50af7ecc7302c813d649ee72dcd457a50a | [
"Unlicense"
] | 5 | 2016-04-25T16:26:07.000Z | 2021-04-28T16:10:29.000Z | youtube_dl/extractor/lecture2go.py | builder07/ytdl | 2c0a5d50af7ecc7302c813d649ee72dcd457a50a | [
"Unlicense"
] | 5 | 2016-04-22T01:33:31.000Z | 2016-08-04T15:33:19.000Z | youtube_dl/extractor/lecture2go.py | builder07/ytdl | 2c0a5d50af7ecc7302c813d649ee72dcd457a50a | [
"Unlicense"
] | 4 | 2016-04-26T15:27:38.000Z | 2018-11-12T21:04:54.000Z | # coding: utf-8
from __future__ import unicode_literals
import re
from .common import InfoExtractor
from ..utils import (
determine_ext,
parse_duration,
int_or_none,
)
| 32.253968 | 93 | 0.543307 | # coding: utf-8
from __future__ import unicode_literals
import re
from .common import InfoExtractor
from ..utils import (
determine_ext,
parse_duration,
int_or_none,
)
class Lecture2GoIE(InfoExtractor):
_VALID_URL = r'https?://lecture2go\.uni-hamburg\.de/veranstaltungen/-/v/(?P<id>\d+)'
_TEST = ... | 1,322 | 505 | 23 |
c0398cfe3d8daf23599fadd62330be430a66f740 | 2,075 | py | Python | build/images/assembly/check_size_hermetic_inputs.py | fabio-d/fuchsia-stardock | e57f5d1cf015fe2294fc2a5aea704842294318d2 | [
"BSD-2-Clause"
] | 5 | 2022-01-10T20:22:17.000Z | 2022-01-21T20:14:17.000Z | build/images/assembly/check_size_hermetic_inputs.py | fabio-d/fuchsia-stardock | e57f5d1cf015fe2294fc2a5aea704842294318d2 | [
"BSD-2-Clause"
] | null | null | null | build/images/assembly/check_size_hermetic_inputs.py | fabio-d/fuchsia-stardock | e57f5d1cf015fe2294fc2a5aea704842294318d2 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python3.8
# Copyright 2022 The Fuchsia Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import argparse
import json
import os
import sys
from typing import List
from assembly import FileEntry, FilePath, ImageAssemblyConf... | 33.467742 | 80 | 0.687711 | #!/usr/bin/env python3.8
# Copyright 2022 The Fuchsia Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import argparse
import json
import os
import sys
from typing import List
from assembly import FileEntry, FilePath, ImageAssemblyConf... | 1,577 | 0 | 69 |
c502a31a32ab3982c2dc34e9c1322c506014163e | 2,322 | py | Python | app.py | zharmedia386/covid19-flask | 560b359b57cfa621577037e7177b1862b9fa1dc5 | [
"MIT"
] | 1 | 2021-10-06T01:36:30.000Z | 2021-10-06T01:36:30.000Z | app.py | zharmedia386/covid19-flask | 560b359b57cfa621577037e7177b1862b9fa1dc5 | [
"MIT"
] | null | null | null | app.py | zharmedia386/covid19-flask | 560b359b57cfa621577037e7177b1862b9fa1dc5 | [
"MIT"
] | null | null | null | from flask import Flask
from flask.templating import render_template
from models import provinsi,ambilTanggal,dunia,indonesia,harian_indo,india,india_global,turki,turki_global,us,us_global
application = Flask(__name__)
# Route untuk halaman utama
@application.route('/')
# Route untuk halaman awal
@application.route(... | 30.552632 | 119 | 0.726529 | from flask import Flask
from flask.templating import render_template
from models import provinsi,ambilTanggal,dunia,indonesia,harian_indo,india,india_global,turki,turki_global,us,us_global
application = Flask(__name__)
# Route untuk halaman utama
@application.route('/')
def index() :
return render_template('index.h... | 1,386 | 0 | 176 |
1f0997b6db7b17b706d8d0329b2047d635b89e7f | 985 | py | Python | api/src/service/login/LoginService.py | SamuelJansen/idealizar-whats-app-manager-api | a23114d5b841b3b3e45c0309b19c68df2fe1373e | [
"MIT"
] | null | null | null | api/src/service/login/LoginService.py | SamuelJansen/idealizar-whats-app-manager-api | a23114d5b841b3b3e45c0309b19c68df2fe1373e | [
"MIT"
] | null | null | null | api/src/service/login/LoginService.py | SamuelJansen/idealizar-whats-app-manager-api | a23114d5b841b3b3e45c0309b19c68df2fe1373e | [
"MIT"
] | null | null | null | from python_framework import Service, ServiceMethod
from domain import LoginConstants
from enumeration.AuthenticationStatus import AuthenticationStatus
from dto import QRCodeDto
@Service()
| 31.774194 | 82 | 0.739086 | from python_framework import Service, ServiceMethod
from domain import LoginConstants
from enumeration.AuthenticationStatus import AuthenticationStatus
from dto import QRCodeDto
@Service()
class LoginService:
@ServiceMethod()
def isAuthenticated(self) :
authenticationResponse = self.client.whatsAppWe... | 541 | 231 | 22 |
8eeb3f38a2c878c85669d3cfd90b524764846032 | 2,823 | py | Python | LeetCode-All-Solution/Python3/LC-0118-Pascals-Triangle.py | YuweiYin/Algorithm_YuweiYin | 28648fac59c5a4e3c907978cbd1b3e662ba18fd5 | [
"MIT"
] | null | null | null | LeetCode-All-Solution/Python3/LC-0118-Pascals-Triangle.py | YuweiYin/Algorithm_YuweiYin | 28648fac59c5a4e3c907978cbd1b3e662ba18fd5 | [
"MIT"
] | null | null | null | LeetCode-All-Solution/Python3/LC-0118-Pascals-Triangle.py | YuweiYin/Algorithm_YuweiYin | 28648fac59c5a4e3c907978cbd1b3e662ba18fd5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
"""=================================================================
@Project : Algorithm_YuweiYin/LeetCode-All-Solution/Python3
@File : LC-0118-Pascals-Triangle.py
@Author : [YuweiYin](https://github.com/YuweiYin)
@Date : 2022-02-15
==================================... | 29.40625 | 117 | 0.568898 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
"""=================================================================
@Project : Algorithm_YuweiYin/LeetCode-All-Solution/Python3
@File : LC-0118-Pascals-Triangle.py
@Author : [YuweiYin](https://github.com/YuweiYin)
@Date : 2022-02-15
==================================... | 817 | 1,010 | 46 |
fa4280a0122aba2877b04c33eb2995d2f7fec771 | 1,997 | py | Python | python/test/unit/caty/jsontools/path/JsonPathLexer.py | hidaruma/caty | f71d2ab0a001ea4f7a96a6e02211187ebbf54773 | [
"MIT"
] | null | null | null | python/test/unit/caty/jsontools/path/JsonPathLexer.py | hidaruma/caty | f71d2ab0a001ea4f7a96a6e02211187ebbf54773 | [
"MIT"
] | null | null | null | python/test/unit/caty/jsontools/path/JsonPathLexer.py | hidaruma/caty | f71d2ab0a001ea4f7a96a6e02211187ebbf54773 | [
"MIT"
] | null | null | null | # coding: utf-8
from caty.testutil import *
from caty.jsontools.path.JsonPathLexer import *
from StringIO import StringIO
| 38.403846 | 95 | 0.597897 | # coding: utf-8
from caty.testutil import *
from caty.jsontools.path.JsonPathLexer import *
from StringIO import StringIO
def mk_lexer(s):
io = StringIO()
io.write(s)
io.seek(0)
return Lexer(io)
class LexerTest(TestCase):
def test_lex(self):
lexer = mk_lexer('$;')
self.assertEquals... | 1,796 | 5 | 72 |
7397612fd89d36df1f67d4f884bda55b30e7606d | 580 | py | Python | authome/migrations/0009_auto_20210224_1206.py | rockychen-dpaw/authome | caea623ea7f5d16dc0554fcc7cc78c8063788fb8 | [
"Apache-2.0"
] | 2 | 2019-07-02T06:23:54.000Z | 2021-12-14T04:02:40.000Z | authome/migrations/0009_auto_20210224_1206.py | rockychen-dpaw/authome | caea623ea7f5d16dc0554fcc7cc78c8063788fb8 | [
"Apache-2.0"
] | 9 | 2019-02-18T03:19:54.000Z | 2022-03-31T06:10:36.000Z | authome/migrations/0009_auto_20210224_1206.py | rockychen-dpaw/authome | caea623ea7f5d16dc0554fcc7cc78c8063788fb8 | [
"Apache-2.0"
] | 6 | 2019-01-22T08:10:16.000Z | 2022-02-15T02:42:03.000Z | # Generated by Django 3.1.6 on 2021-02-24 04:06
from django.db import migrations, models
| 25.217391 | 108 | 0.610345 | # Generated by Django 3.1.6 on 2021-02-24 04:06
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('authome', '0008_auto_20210222_0905'),
]
operations = [
migrations.RemoveField(
model_name='customizableuserflow',
na... | 0 | 466 | 23 |
14f481891662f322b791ad0d090dfeb00e9ca36b | 1,134 | py | Python | setup.py | cdusold/DriveLink | b48ff68f7913e33fc17a07e91ad185b1222fdeb8 | [
"MIT"
] | null | null | null | setup.py | cdusold/DriveLink | b48ff68f7913e33fc17a07e91ad185b1222fdeb8 | [
"MIT"
] | 7 | 2017-09-05T01:07:48.000Z | 2020-10-12T16:40:12.000Z | setup.py | cdusold/DriveLink | b48ff68f7913e33fc17a07e91ad185b1222fdeb8 | [
"MIT"
] | null | null | null | import os
from setuptools import setup
# Utility function to read the README file.
# Used for the long_description. It's nice, because now 1) we have a top level
# README file and 2) it's easier to type in the README file than to put a raw
# string in below ...
setup(
name="DriveLink",
version=read("VERSIO... | 31.5 | 79 | 0.650794 | import os
from setuptools import setup
# Utility function to read the README file.
# Used for the long_description. It's nice, because now 1) we have a top level
# README file and 2) it's easier to type in the README file than to put a raw
# string in below ...
def read(fname):
return open(os.path.join(os.path.... | 66 | 0 | 23 |
24d8c56bcaf9a4486fd4d84534293fc0807c725f | 1,006 | py | Python | others/differentiation_integration/adaptive_diff.py | bt3gl/Resources-Numerical_Methods_for_Physics | 8668215f107230fafd9bdeb0061d353328cf03e8 | [
"Apache-2.0"
] | 17 | 2019-10-28T03:13:07.000Z | 2020-11-21T17:38:06.000Z | others/differentiation_integration/adaptive_diff.py | bt3gl/Resources-Numerical_Methods_for_Physics | 8668215f107230fafd9bdeb0061d353328cf03e8 | [
"Apache-2.0"
] | null | null | null | others/differentiation_integration/adaptive_diff.py | bt3gl/Resources-Numerical_Methods_for_Physics | 8668215f107230fafd9bdeb0061d353328cf03e8 | [
"Apache-2.0"
] | 5 | 2020-05-09T07:55:32.000Z | 2020-12-12T11:05:42.000Z | # example of error estimation with numerical derivatives and using
# Richardson extrapolation to reduce the leading order error.
import math
# function we are differentiating
# analytic derivative (for comparison)
# difference equation
# desired tolerance -- be careful not to go too close to machine
# epsilon,... | 17.344828 | 67 | 0.653082 | # example of error estimation with numerical derivatives and using
# Richardson extrapolation to reduce the leading order error.
import math
# function we are differentiating
def fun(x):
return math.sin(x)
# analytic derivative (for comparison)
def fprime(x):
return math.cos(x)
# difference equation
def ... | 67 | 0 | 66 |
607de21a293deb30eaae6c2ead95e72724663ad8 | 3,429 | py | Python | architect/commands/__init__.py | dimagi/architect | b87475a2eaf63916ad12666c998c062b675bde1d | [
"Apache-2.0"
] | 352 | 2015-01-16T10:22:25.000Z | 2022-02-25T04:19:13.000Z | architect/commands/__init__.py | dimagi/architect | b87475a2eaf63916ad12666c998c062b675bde1d | [
"Apache-2.0"
] | 76 | 2015-01-19T11:15:32.000Z | 2021-12-09T15:35:47.000Z | architect/commands/__init__.py | dimagi/architect | b87475a2eaf63916ad12666c998c062b675bde1d | [
"Apache-2.0"
] | 72 | 2015-01-19T11:53:40.000Z | 2022-03-14T16:09:00.000Z | """
Provides unified interface for all Architect commands. Each command should live
in a separate module and define an "arguments" variable which should contain the
command's arguments and a "run" function which implements the command's behaviour.
"""
import os
import sys
import pkgutil
import argparse
from .. import... | 35.71875 | 117 | 0.654418 | """
Provides unified interface for all Architect commands. Each command should live
in a separate module and define an "arguments" variable which should contain the
command's arguments and a "run" function which implements the command's behaviour.
"""
import os
import sys
import pkgutil
import argparse
from .. import... | 0 | 1,392 | 23 |
4eed8743f1f3a83647a49f1c486e1ac5fae66a0a | 6,315 | py | Python | cnn.py | LinXueyuanStdio/Histopathologic-Cancer-Detection | ef37674283e7e3a4ac0999192b3b297cd55c1429 | [
"Apache-2.0"
] | null | null | null | cnn.py | LinXueyuanStdio/Histopathologic-Cancer-Detection | ef37674283e7e3a4ac0999192b3b297cd55c1429 | [
"Apache-2.0"
] | null | null | null | cnn.py | LinXueyuanStdio/Histopathologic-Cancer-Detection | ef37674283e7e3a4ac0999192b3b297cd55c1429 | [
"Apache-2.0"
] | null | null | null | # Libraries
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import TensorDataset, DataLoader, Dataset
import torchvision
import torchvision.transforms as transforms
from sklearn.model_selection import train_test_split
import os
import numpy as np
import pandas as pd
i... | 35.677966 | 105 | 0.628187 | # Libraries
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import TensorDataset, DataLoader, Dataset
import torchvision
import torchvision.transforms as transforms
from sklearn.model_selection import train_test_split
import os
import numpy as np
import pandas as pd
i... | 1,946 | 10 | 190 |
f727ee1e7b53a6244678c9e08fe4eea5eec42c76 | 509 | py | Python | src/waldur_ansible/playbook_jobs/extension.py | opennode/waldur-ansible | c81c5f0491be02fa9a55a6d5bf9d845750fd1ba9 | [
"MIT"
] | 1 | 2017-09-05T08:09:47.000Z | 2017-09-05T08:09:47.000Z | src/waldur_ansible/playbook_jobs/extension.py | opennode/waldur-ansible | c81c5f0491be02fa9a55a6d5bf9d845750fd1ba9 | [
"MIT"
] | null | null | null | src/waldur_ansible/playbook_jobs/extension.py | opennode/waldur-ansible | c81c5f0491be02fa9a55a6d5bf9d845750fd1ba9 | [
"MIT"
] | 3 | 2017-09-24T03:13:19.000Z | 2018-08-12T07:44:38.000Z | from waldur_core.core import WaldurExtension
| 22.130435 | 54 | 0.650295 | from waldur_core.core import WaldurExtension
class PlaybookJobsExtension(WaldurExtension):
class Settings:
WALDUR_PLAYBOOK_JOBS = {
'PLAYBOOKS_DIR_NAME': 'ansible_playbooks',
'PLAYBOOK_ICON_SIZE': (64, 64),
}
@staticmethod
def django_app():
return 'waldur_a... | 119 | 321 | 23 |
9ec5cb7906b3b40445257c6247715ae52fd14c2f | 16,038 | py | Python | src/operation/exec_test.py | tobytoyin/TesterFactory | 150a2625f8fb4eb50d600611d990a8bb8fed96a4 | [
"MIT"
] | null | null | null | src/operation/exec_test.py | tobytoyin/TesterFactory | 150a2625f8fb4eb50d600611d990a8bb8fed96a4 | [
"MIT"
] | null | null | null | src/operation/exec_test.py | tobytoyin/TesterFactory | 150a2625f8fb4eb50d600611d990a8bb8fed96a4 | [
"MIT"
] | null | null | null | from src.operation.execution import Execution
from selenium.common.exceptions import (
ElementClickInterceptedException,
ElementNotInteractableException,
NoSuchElementException,
)
from selenium.webdriver.support import expected_conditions as EC
from time import sleep
from bs4 import BeautifulSoup
from selen... | 35.017467 | 114 | 0.563162 | from src.operation.execution import Execution
from selenium.common.exceptions import (
ElementClickInterceptedException,
ElementNotInteractableException,
NoSuchElementException,
)
from selenium.webdriver.support import expected_conditions as EC
from time import sleep
from bs4 import BeautifulSoup
from selen... | 53 | 0 | 27 |
e02a88e39ea629d0ed4ce7c27861d2df6d258d88 | 2,034 | py | Python | utils.py | RajputJay41/Tweets-Analysis | b07c07e035cac495e329cd1a32b51871777a1089 | [
"MIT"
] | 4 | 2020-09-29T09:10:35.000Z | 2020-10-19T08:57:59.000Z | utils.py | RajputJay41/Tweets-Analysis | b07c07e035cac495e329cd1a32b51871777a1089 | [
"MIT"
] | null | null | null | utils.py | RajputJay41/Tweets-Analysis | b07c07e035cac495e329cd1a32b51871777a1089 | [
"MIT"
] | null | null | null | import numpy as np
import torch
class AverageMeter:
"""
Computes and stores the average and current value
"""
| 29.057143 | 109 | 0.566372 | import numpy as np
import torch
class AverageMeter:
"""
Computes and stores the average and current value
"""
def __init__(self):
self.reset()
def reset(self):
self.val = 0
self.avg = 0
self.sum = 0
self.count = 0
def update(self, val, n=1):
se... | 1,703 | -1 | 206 |
0ef9739c8bde36c4d0cea8d757c777e458199d47 | 2,897 | py | Python | homeassistant/components/mobile_app/push_notification.py | MrDelik/core | 93a66cc357b226389967668441000498a10453bb | [
"Apache-2.0"
] | 30,023 | 2016-04-13T10:17:53.000Z | 2020-03-02T12:56:31.000Z | homeassistant/components/mobile_app/push_notification.py | MrDelik/core | 93a66cc357b226389967668441000498a10453bb | [
"Apache-2.0"
] | 24,710 | 2016-04-13T08:27:26.000Z | 2020-03-02T12:59:13.000Z | homeassistant/components/mobile_app/push_notification.py | MrDelik/core | 93a66cc357b226389967668441000498a10453bb | [
"Apache-2.0"
] | 11,956 | 2016-04-13T18:42:31.000Z | 2020-03-02T09:32:12.000Z | """Push notification handling."""
from __future__ import annotations
import asyncio
from collections.abc import Callable
from homeassistant.core import HomeAssistant, callback
from homeassistant.helpers.event import async_call_later
from homeassistant.util.uuid import random_uuid_hex
PUSH_CONFIRM_TIMEOUT = 10 # sec... | 31.150538 | 87 | 0.637556 | """Push notification handling."""
from __future__ import annotations
import asyncio
from collections.abc import Callable
from homeassistant.core import HomeAssistant, callback
from homeassistant.helpers.event import async_call_later
from homeassistant.util.uuid import random_uuid_hex
PUSH_CONFIRM_TIMEOUT = 10 # sec... | 0 | 0 | 0 |
3c9056dfb6354e5daafd7bffd768de97d7f13f54 | 11,790 | py | Python | src/fidesops/service/connectors/query_config.py | nathanawmk/fidesops | 1ab840206a78e60673aebd5838ba567095512a58 | [
"Apache-2.0"
] | null | null | null | src/fidesops/service/connectors/query_config.py | nathanawmk/fidesops | 1ab840206a78e60673aebd5838ba567095512a58 | [
"Apache-2.0"
] | null | null | null | src/fidesops/service/connectors/query_config.py | nathanawmk/fidesops | 1ab840206a78e60673aebd5838ba567095512a58 | [
"Apache-2.0"
] | null | null | null | import logging
import re
from abc import ABC, abstractmethod
from typing import Dict, Any, List, Set, Optional, Generic, TypeVar, Tuple
from sqlalchemy import text
from sqlalchemy.sql.elements import TextClause
from fidesops.graph.config import ROOT_COLLECTION_ADDRESS, CollectionAddress
from fidesops.graph.traversal ... | 38.655738 | 128 | 0.598473 | import logging
import re
from abc import ABC, abstractmethod
from typing import Dict, Any, List, Set, Optional, Generic, TypeVar, Tuple
from sqlalchemy import text
from sqlalchemy.sql.elements import TextClause
from fidesops.graph.config import ROOT_COLLECTION_ADDRESS, CollectionAddress
from fidesops.graph.traversal ... | 2,190 | 0 | 201 |
2d5262b7779affc730600aceb16db34bead5231a | 1,212 | py | Python | CH05_Perceptron/Perceptron.py | abulimity/Learn-Machine-Learning | 24455a473fdfa439e2a2871d21ffa66245557d69 | [
"MIT"
] | null | null | null | CH05_Perceptron/Perceptron.py | abulimity/Learn-Machine-Learning | 24455a473fdfa439e2a2871d21ffa66245557d69 | [
"MIT"
] | null | null | null | CH05_Perceptron/Perceptron.py | abulimity/Learn-Machine-Learning | 24455a473fdfa439e2a2871d21ffa66245557d69 | [
"MIT"
] | null | null | null | import numpy as np
import random
import logging
import pandas as pd
if __name__ == '__main__':
logging.getLogger().setLevel(logging.INFO)
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)
# logging.info('ddddd')... | 28.857143 | 106 | 0.542079 | import numpy as np
import random
import logging
import pandas as pd
class Perceptron(object):
def __init__(self, eta=0.00001, max_iter=5000):
self.eta = eta
self.max_iter = max_iter
self.w = 0
def fit(self, X, y):
X = np.array(pd.DataFrame(X).to_numpy())
y = np.array(... | 783 | 4 | 104 |
59f09f87cfad17d486b07c1f5977d73876417aef | 292 | py | Python | Mock-exams/01-Mock-exam/expensesTracker/expensesTracker/app/forms.py | M0673N/Python-Web-Basics | cecc27f7a12f990756edcc8885290eb3b2e487b7 | [
"MIT"
] | null | null | null | Mock-exams/01-Mock-exam/expensesTracker/expensesTracker/app/forms.py | M0673N/Python-Web-Basics | cecc27f7a12f990756edcc8885290eb3b2e487b7 | [
"MIT"
] | null | null | null | Mock-exams/01-Mock-exam/expensesTracker/expensesTracker/app/forms.py | M0673N/Python-Web-Basics | cecc27f7a12f990756edcc8885290eb3b2e487b7 | [
"MIT"
] | null | null | null | from django import forms
from expensesTracker.app.models import Profile, Expense
| 18.25 | 55 | 0.674658 | from django import forms
from expensesTracker.app.models import Profile, Expense
class ProfileForm(forms.ModelForm):
class Meta:
model = Profile
fields = '__all__'
class ExpenseForm(forms.ModelForm):
class Meta:
model = Expense
fields = '__all__'
| 0 | 162 | 46 |
8cef407cc7eb1b7e6aa4149bfbe1385b5213c943 | 8,272 | py | Python | nicrabgrp/radio.py | tenoto/nicrabgrp | e81954526d2db9c9b73fde47df27ae9855f52bcb | [
"MIT"
] | null | null | null | nicrabgrp/radio.py | tenoto/nicrabgrp | e81954526d2db9c9b73fde47df27ae9855f52bcb | [
"MIT"
] | null | null | null | nicrabgrp/radio.py | tenoto/nicrabgrp | e81954526d2db9c9b73fde47df27ae9855f52bcb | [
"MIT"
] | null | null | null | __author__ = 'Teruaki Enoto'
__version__ = '0.02'
__date__ = '2018 November 26'
"""
HISTORY
2018-11-26 transfered from giantradiopulse library
2018-10-09 modified by T.Enoto
2018-10-01 created by T.Enoto
"""
import os
import pandas as pd
import astropy.io.fits as fits
class GootTimeIntervalTextFile(GootTimeIn... | 46.734463 | 112 | 0.707084 | __author__ = 'Teruaki Enoto'
__version__ = '0.02'
__date__ = '2018 November 26'
"""
HISTORY
2018-11-26 transfered from giantradiopulse library
2018-10-09 modified by T.Enoto
2018-10-01 created by T.Enoto
"""
import os
import pandas as pd
import astropy.io.fits as fits
class GootTimeInterval(object):
def __in... | 7,388 | 19 | 236 |
c389126a8ae454dd027464ab4275b6e60b857dde | 458 | py | Python | sage/factor_ec.py | attacker0211/ectp | 752e8d2bf70a88df0dfbe05e37312d959090ab64 | [
"MIT"
] | 1 | 2021-04-24T17:34:43.000Z | 2021-04-24T17:34:43.000Z | sage/factor_ec.py | attacker0211/ectp | 752e8d2bf70a88df0dfbe05e37312d959090ab64 | [
"MIT"
] | null | null | null | sage/factor_ec.py | attacker0211/ectp | 752e8d2bf70a88df0dfbe05e37312d959090ab64 | [
"MIT"
] | null | null | null | #!/usr/local/bin/sage -python
from sage.all import *
n = 199843247
done = 0
for b in range(1, int(sqrt(199843247) + 1)):
E = EllipticCurve(Integers(n),[0,0,0,b,-b])
P = E(1,1)
for d in range(2, 21):
# try:
Q = d*P
print(d,"!P &= (",Q[0],"," ,Q[1],")\\\\")
P = Q
# ... | 20.818182 | 52 | 0.401747 | #!/usr/local/bin/sage -python
from sage.all import *
n = 199843247
done = 0
for b in range(1, int(sqrt(199843247) + 1)):
E = EllipticCurve(Integers(n),[0,0,0,b,-b])
P = E(1,1)
for d in range(2, 21):
# try:
Q = d*P
print(d,"!P &= (",Q[0],"," ,Q[1],")\\\\")
P = Q
# ... | 0 | 0 | 0 |
3263adca4a1202605a047838d18408c8652af18f | 1,990 | py | Python | hw1scripts/Introduction.py | vedatk67/ADM-HW1 | 21da1ba0c4f08a8d3fb14d40a65476b39761b4f9 | [
"MIT"
] | null | null | null | hw1scripts/Introduction.py | vedatk67/ADM-HW1 | 21da1ba0c4f08a8d3fb14d40a65476b39761b4f9 | [
"MIT"
] | null | null | null | hw1scripts/Introduction.py | vedatk67/ADM-HW1 | 21da1ba0c4f08a8d3fb14d40a65476b39761b4f9 | [
"MIT"
] | null | null | null |
#1 -)SAY "HELLO, WORLD!" WITH PYTHON
a = "Hello, World!"
print(a)
#2 -)PYTHON IF - ELSE
# !/bin/python3
import math
import os
import random
import re
import sys
# For all condition writing if or elif
if __name__ == '__main__':
n = int(input().strip())
if n % 2 == 1:
print("Weird")
elif n % 2 ... | 21.170213 | 98 | 0.582915 |
#1 -)SAY "HELLO, WORLD!" WITH PYTHON
a = "Hello, World!"
print(a)
#2 -)PYTHON IF - ELSE
# !/bin/python3
import math
import os
import random
import re
import sys
# For all condition writing if or elif
if __name__ == '__main__':
n = int(input().strip())
if n % 2 == 1:
print("Weird")
elif n % 2 ... | 225 | 0 | 23 |
8a89f180e5173599b237a1625b6352afd5edd205 | 4,613 | py | Python | spectree/response.py | loonateam/spectree | 71b2d34993e01b36a8de18c2a3d6856d0c9e45c3 | [
"Apache-2.0"
] | null | null | null | spectree/response.py | loonateam/spectree | 71b2d34993e01b36a8de18c2a3d6856d0c9e45c3 | [
"Apache-2.0"
] | 1 | 2021-12-16T00:22:43.000Z | 2021-12-16T00:22:43.000Z | spectree/response.py | loonateam/spectree | 71b2d34993e01b36a8de18c2a3d6856d0c9e45c3 | [
"Apache-2.0"
] | null | null | null | from pydantic import BaseModel
from .models import UnprocessableEntity
from .utils import get_model_key, parse_code
class Response:
"""
response object
:param codes: list of HTTP status code, format('HTTP_[0-9]{3}'), 'HTTP200'
:param code_models: dict of <HTTP status code>: <`pydantic.BaseModel`> or... | 31.813793 | 83 | 0.598309 | from pydantic import BaseModel
from .models import UnprocessableEntity
from .utils import get_model_key, parse_code
class Response:
"""
response object
:param codes: list of HTTP status code, format('HTTP_[0-9]{3}'), 'HTTP200'
:param code_models: dict of <HTTP status code>: <`pydantic.BaseModel`> or... | 662 | 0 | 27 |
0c5df2c6515eaf7e4f5d6d6648879dffa4fd63a1 | 185 | py | Python | factorial.py | vidyadeepa/the-coding-interview | 90171b77b6884176a6c28bdccb5d45bd6929b489 | [
"MIT"
] | null | null | null | factorial.py | vidyadeepa/the-coding-interview | 90171b77b6884176a6c28bdccb5d45bd6929b489 | [
"MIT"
] | null | null | null | factorial.py | vidyadeepa/the-coding-interview | 90171b77b6884176a6c28bdccb5d45bd6929b489 | [
"MIT"
] | null | null | null | n=int(input("number: "))
if n==1:
print n
if n<0:
print("sorry..factorial does not exist")
elif n==0:
print ("the factorial of 0 is 1")
else:
for i in range(1,n):
n=n*i
print n
| 15.416667 | 41 | 0.621622 | n=int(input("number: "))
if n==1:
print n
if n<0:
print("sorry..factorial does not exist")
elif n==0:
print ("the factorial of 0 is 1")
else:
for i in range(1,n):
n=n*i
print n
| 0 | 0 | 0 |
aed13c5d1a9ef823395ac59d770e8823c72485c5 | 229 | py | Python | myimports/boo/__init__.py | noirqs/PyImports | 1f356ace2035d82a6e15f78b12fdd30520d4e3f7 | [
"BSD-2-Clause"
] | 118 | 2015-02-20T13:59:09.000Z | 2022-01-28T18:43:52.000Z | myimports/boo/__init__.py | noirqs/PyImports | 1f356ace2035d82a6e15f78b12fdd30520d4e3f7 | [
"BSD-2-Clause"
] | 2 | 2017-09-19T03:55:14.000Z | 2018-05-03T10:37:17.000Z | myimports/boo/__init__.py | noirqs/PyImports | 1f356ace2035d82a6e15f78b12fdd30520d4e3f7 | [
"BSD-2-Clause"
] | 16 | 2016-04-07T14:51:19.000Z | 2022-03-25T05:59:05.000Z | #!/usr/bin/env python
# if the __init__.py is imported directly, import the
# folowing classes
from .ger import Booger
from .geyman import Boogeyman, OogieBoogie
# purposely do not define Bookbag here
#from .kbag import Bookbag | 25.444444 | 53 | 0.781659 | #!/usr/bin/env python
# if the __init__.py is imported directly, import the
# folowing classes
from .ger import Booger
from .geyman import Boogeyman, OogieBoogie
# purposely do not define Bookbag here
#from .kbag import Bookbag | 0 | 0 | 0 |
341bcbdc53ab71aff215899d95f6e8ce45f87424 | 3,094 | py | Python | tronx/database/postgres/pmpermit_sql.py | JayPatel1314/Tron | d8f2d799eea344c0d76f0fe758ce385c7ceceea7 | [
"MIT"
] | 4 | 2022-03-07T07:27:04.000Z | 2022-03-29T05:59:57.000Z | tronx/database/postgres/pmpermit_sql.py | JayPatel1314/Tron | d8f2d799eea344c0d76f0fe758ce385c7ceceea7 | [
"MIT"
] | null | null | null | tronx/database/postgres/pmpermit_sql.py | JayPatel1314/Tron | d8f2d799eea344c0d76f0fe758ce385c7ceceea7 | [
"MIT"
] | 3 | 2022-03-05T15:24:51.000Z | 2022-03-14T08:48:05.000Z | import threading
from sqlalchemy import (
Column,
String,
Integer
)
from . import SESSION, BASE
# save user ids in whitelists
# save warn msg ids
# save warn counts
PMTABLE.__table__.create(checkfirst=True)
MSGID.__table__.create(checkfirst=True)
DISAPPROVE.__table__.create(checkfirst=True)
INSE... | 18.526946 | 49 | 0.690045 | import threading
from sqlalchemy import (
Column,
String,
Integer
)
from . import SESSION, BASE
# save user ids in whitelists
class PMTABLE(BASE):
__tablename__ = "approve"
user_id = Column(Integer, primary_key=True)
boolvalue = Column(String)
def __init__(self, user_id, boolvalue):
self.user_id = us... | 1,877 | 383 | 273 |
bc0f61b09a1fc2c25361193422c5d174d70204ce | 1,987 | py | Python | calcul.py | kkh1205/python-practice | 893a748db94fde57d935f6235cea3cb4cfb2c579 | [
"MIT"
] | null | null | null | calcul.py | kkh1205/python-practice | 893a748db94fde57d935f6235cea3cb4cfb2c579 | [
"MIT"
] | null | null | null | calcul.py | kkh1205/python-practice | 893a748db94fde57d935f6235cea3cb4cfb2c579 | [
"MIT"
] | null | null | null | ############ 계산기 만들기 연습 ###########
calcul() | 20.915789 | 93 | 0.532964 | ############ 계산기 만들기 연습 ###########
def calcul():
print('\nyou can insert two number and cal. \n inputable cal : +, -, *, /, //, %\n')
a = input('please input num : ')
cal = str(input('please input cal : '))
b = input('please input num : ')
# validation check cal
if(cal != '+' and cal != '-' and cal != '*... | 1,919 | 0 | 23 |
afae55c45c1dcaccefdbf903dd752696e8b7ddc3 | 243 | py | Python | work_one/work_UDP_server.py | YuHongJun/python-training | 6ffafe6c781f29315cf1bb08ea3cec6020f078cd | [
"MIT"
] | 12 | 2017-10-01T00:20:37.000Z | 2017-10-02T10:42:18.000Z | work_one/work_UDP_server.py | YuHongJun/python-training | 6ffafe6c781f29315cf1bb08ea3cec6020f078cd | [
"MIT"
] | null | null | null | work_one/work_UDP_server.py | YuHongJun/python-training | 6ffafe6c781f29315cf1bb08ea3cec6020f078cd | [
"MIT"
] | null | null | null | import socket
s= socket.socket(socket.AF_INET,socket.SOCK_DGRAM)
s.bind(('127.0.0.1',9999))
print('Bind UDP on 9999')
while True:
data,addr=s.recvfrom(1024)
print('Received from %s:%s' %addr)
s.sendto(b'Hello, %s!' % data, addr)
| 22.090909 | 50 | 0.666667 | import socket
s= socket.socket(socket.AF_INET,socket.SOCK_DGRAM)
s.bind(('127.0.0.1',9999))
print('Bind UDP on 9999')
while True:
data,addr=s.recvfrom(1024)
print('Received from %s:%s' %addr)
s.sendto(b'Hello, %s!' % data, addr)
| 0 | 0 | 0 |
475fa48b4644120f61099979852d996a6a64a790 | 3,528 | py | Python | chemprop/train/create_fingerprints.py | PNNL-CompBio/chemprop-IR | c2e6e585eac4464a1e61ce3674b856a5ced4f18a | [
"MIT"
] | null | null | null | chemprop/train/create_fingerprints.py | PNNL-CompBio/chemprop-IR | c2e6e585eac4464a1e61ce3674b856a5ced4f18a | [
"MIT"
] | null | null | null | chemprop/train/create_fingerprints.py | PNNL-CompBio/chemprop-IR | c2e6e585eac4464a1e61ce3674b856a5ced4f18a | [
"MIT"
] | null | null | null | from argparse import Namespace
import csv
from typing import List, Optional
import numpy as np
import torch
from tqdm import tqdm
from .predict import predict
from chemprop.data import MoleculeDataset
from chemprop.data.utils import get_data, get_data_from_smiles
from chemprop.utils import load_args, load_checkpoint,... | 31.783784 | 158 | 0.674603 | from argparse import Namespace
import csv
from typing import List, Optional
import numpy as np
import torch
from tqdm import tqdm
from .predict import predict
from chemprop.data import MoleculeDataset
from chemprop.data.utils import get_data, get_data_from_smiles
from chemprop.utils import load_args, load_checkpoint,... | 0 | 0 | 0 |
0e4b41cc61a152490885cb7f0acef4e1afb82e4d | 14,215 | py | Python | Ch-7/PPO.py | prakHr/temp | 688d71b7deba5f1fcb56fb335922823b8b4dac38 | [
"MIT"
] | 1 | 2020-07-17T05:29:55.000Z | 2020-07-17T05:29:55.000Z | Ch-7/PPO.py | prakHr/temp | 688d71b7deba5f1fcb56fb335922823b8b4dac38 | [
"MIT"
] | null | null | null | Ch-7/PPO.py | prakHr/temp | 688d71b7deba5f1fcb56fb335922823b8b4dac38 | [
"MIT"
] | 3 | 2020-12-12T14:29:09.000Z | 2021-10-11T00:10:40.000Z | import numpy as np
import tensorflow as tf
import gym
from datetime import datetime
import time
import roboschool
def mlp(x, hidden_layers, output_layer, activation=tf.tanh, last_activation=None):
'''
Multi-layer perceptron
'''
for l in hidden_layers:
x = tf.layers.dense(x, units=l, activation... | 40.155367 | 163 | 0.636581 | import numpy as np
import tensorflow as tf
import gym
from datetime import datetime
import time
import roboschool
def mlp(x, hidden_layers, output_layer, activation=tf.tanh, last_activation=None):
'''
Multi-layer perceptron
'''
for l in hidden_layers:
x = tf.layers.dense(x, units=l, activation... | 994 | 0 | 222 |
b9c6e205abecdeaf8a3c5a94c7509cbccb932228 | 17,207 | py | Python | idgo_admin/models/layer.py | neogeo-technologies/idgo | 23e028b0d7fb2daf54d7e2954e0cc4d7b9be4210 | [
"Apache-2.0"
] | null | null | null | idgo_admin/models/layer.py | neogeo-technologies/idgo | 23e028b0d7fb2daf54d7e2954e0cc4d7b9be4210 | [
"Apache-2.0"
] | 2 | 2018-09-14T07:12:00.000Z | 2019-11-13T09:32:24.000Z | idgo_admin/models/layer.py | neogeo-technologies/idgo | 23e028b0d7fb2daf54d7e2954e0cc4d7b9be4210 | [
"Apache-2.0"
] | 2 | 2019-03-25T08:27:43.000Z | 2019-10-07T15:25:30.000Z | # Copyright (c) 2017-2021 Neogeo-Technologies.
# 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... | 34.761616 | 105 | 0.56878 | # Copyright (c) 2017-2021 Neogeo-Technologies.
# 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... | 7,454 | 8,183 | 90 |
d8442700e3683edee60319cb622436d9de214343 | 235 | py | Python | ai/tensorflow/demos/tf_demo2.py | bigfoolliu/liu_aistuff | aa661d37c05c257ee293285dd0868fb7e8227628 | [
"MIT"
] | 1 | 2019-11-25T07:23:42.000Z | 2019-11-25T07:23:42.000Z | ai/tensorflow/demos/tf_demo2.py | bigfoolliu/liu_aistuff | aa661d37c05c257ee293285dd0868fb7e8227628 | [
"MIT"
] | 13 | 2020-01-07T16:09:47.000Z | 2022-03-02T12:51:44.000Z | ai/tensorflow/demos/tf_demo2.py | bigfoolliu/liu_aistuff | aa661d37c05c257ee293285dd0868fb7e8227628 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
# author: bigfoolliu
import tensorflow as tf
a = tf.constant(10)
b = tf.constant(20)
# 使用with可以自动关闭Session()
with tf.Session() as sess:
ret = sess.run(a + b)
print("ret:", ret)
| 15.666667 | 26 | 0.634043 | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
# author: bigfoolliu
import tensorflow as tf
a = tf.constant(10)
b = tf.constant(20)
# 使用with可以自动关闭Session()
with tf.Session() as sess:
ret = sess.run(a + b)
print("ret:", ret)
| 0 | 0 | 0 |
e8c69db1da6171e5161324cb1d06d17d81294b07 | 166 | py | Python | selection/truncated/__init__.py | Xiaoying-Tian/selective-inference | a20c5ad3f527beb709d5b8d7301016640738b092 | [
"BSD-3-Clause"
] | null | null | null | selection/truncated/__init__.py | Xiaoying-Tian/selective-inference | a20c5ad3f527beb709d5b8d7301016640738b092 | [
"BSD-3-Clause"
] | null | null | null | selection/truncated/__init__.py | Xiaoying-Tian/selective-inference | a20c5ad3f527beb709d5b8d7301016640738b092 | [
"BSD-3-Clause"
] | 1 | 2019-07-13T04:14:12.000Z | 2019-07-13T04:14:12.000Z | from base import find_root
from gaussian import truncated_gaussian
from chi import truncated_chi, truncated_chi2
from T import truncated_T
from F import truncated_F
| 23.714286 | 45 | 0.861446 | from base import find_root
from gaussian import truncated_gaussian
from chi import truncated_chi, truncated_chi2
from T import truncated_T
from F import truncated_F
| 0 | 0 | 0 |
71c86ea69c3fcb582af69f1eb2c89bc15f83af14 | 302 | py | Python | mjengo/run.py | bilha-analytics/school | d3491eb3f88386dcef35abe13ff8d494790a607d | [
"MIT"
] | null | null | null | mjengo/run.py | bilha-analytics/school | d3491eb3f88386dcef35abe13ff8d494790a607d | [
"MIT"
] | null | null | null | mjengo/run.py | bilha-analytics/school | d3491eb3f88386dcef35abe13ff8d494790a607d | [
"MIT"
] | 1 | 2021-04-08T07:12:48.000Z | 2021-04-08T07:12:48.000Z | import <app_pkg_name>
from <app_pkg_name>.bin import zlogger
app = <app_pkg_name>.init_app()
zlogger.startLogger("<app_pkg_name>")
if __name__ == "__main__":
'''
TODO: populate dummy data, setup zlogger
'''
zlogger.log( "run.py" f"starting {__name__}" )
app.run(debug=True) | 21.571429 | 51 | 0.665563 | import <app_pkg_name>
from <app_pkg_name>.bin import zlogger
app = <app_pkg_name>.init_app()
zlogger.startLogger("<app_pkg_name>")
if __name__ == "__main__":
'''
TODO: populate dummy data, setup zlogger
'''
zlogger.log( "run.py" f"starting {__name__}" )
app.run(debug=True) | 0 | 0 | 0 |
4d2af55567acfb91af602f30775f7a2929893f2d | 2,684 | py | Python | Filtering_Server/FFT/fft.py | FullPint/Frequency-Filter-Server | 60ed3f17f8873ff92b6f52e7dd861c9d99dea40c | [
"MIT"
] | null | null | null | Filtering_Server/FFT/fft.py | FullPint/Frequency-Filter-Server | 60ed3f17f8873ff92b6f52e7dd861c9d99dea40c | [
"MIT"
] | null | null | null | Filtering_Server/FFT/fft.py | FullPint/Frequency-Filter-Server | 60ed3f17f8873ff92b6f52e7dd861c9d99dea40c | [
"MIT"
] | null | null | null | import numpy as np
class FFT_DIP:
"""
need to complete the implementation having issues with
how to keep size, in order to avoid zero padding
def bluestein(self, vector, inverse=False):
transformed_vector = np.covolve()
return vector
"""
| 34.410256 | 109 | 0.595753 | import numpy as np
class FFT_DIP:
def fft(self, vector):
vector = np.array(vector, dtype=complex)
n = vector.shape[0]
if(self._power_of_two(n)):
vector = self.cooleytukey(vector)
else:
vector = np.fft.fft(vector)
# vector = self.bluestein(vector)
... | 2,165 | 0 | 242 |
7c46924325ac62ac5f7485f322519108d5b8fda9 | 1,150 | py | Python | setup.py | anielsen001/pycwt | 0136e5c43519e6973f43f288f76541e34a7ddfe8 | [
"BSD-3-Clause"
] | 185 | 2015-01-04T09:20:37.000Z | 2022-02-28T16:40:07.000Z | setup.py | anielsen001/pycwt | 0136e5c43519e6973f43f288f76541e34a7ddfe8 | [
"BSD-3-Clause"
] | 33 | 2015-08-07T08:02:43.000Z | 2022-01-25T09:12:22.000Z | setup.py | anielsen001/pycwt | 0136e5c43519e6973f43f288f76541e34a7ddfe8 | [
"BSD-3-Clause"
] | 81 | 2015-06-19T15:26:00.000Z | 2022-03-04T09:40:10.000Z | import os
from setuptools import setup
AUTHORS = ('Sebastian Krieger, Nabil Freij, Alexey Brazhe, '
'Christopher Torrence, Gilbert P. Compo and contributors')
setup(
name='pycwt',
version='0.3.0a22',
author=AUTHORS,
author_email='sebastian@nublia.com',
description=('Continuous wavelet... | 31.944444 | 71 | 0.634783 | import os
from setuptools import setup
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
AUTHORS = ('Sebastian Krieger, Nabil Freij, Alexey Brazhe, '
'Christopher Torrence, Gilbert P. Compo and contributors')
setup(
name='pycwt',
version='0.3.0a22',
auth... | 66 | 0 | 23 |
5da4ce214702b4055cf349b708dfa82e2ed0abca | 678 | py | Python | train.py | DOROTHEA0/ConvNeXt | e5f4b4fae5ab36d7e62b6fbfe0cb221b6039d1b1 | [
"MIT"
] | null | null | null | train.py | DOROTHEA0/ConvNeXt | e5f4b4fae5ab36d7e62b6fbfe0cb221b6039d1b1 | [
"MIT"
] | null | null | null | train.py | DOROTHEA0/ConvNeXt | e5f4b4fae5ab36d7e62b6fbfe0cb221b6039d1b1 | [
"MIT"
] | null | null | null | import torch
from models.convnext import *
from utils import get_params_groups, create_lr_scheduler
import argparse
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument("--epochs", type=int, default=100, help="number of epochs of training")
parser.add_argument("--batch_siz... | 27.12 | 99 | 0.715339 | import torch
from models.convnext import *
from utils import get_params_groups, create_lr_scheduler
import argparse
def train(opt):
model = convnext_tiny(num_classes=2)
p = get_params_groups(model)
optimizer = torch.optim.AdamW(p, lr=opt.lr)
# lr_scheduler =
if __name__ == '__main__':
parser... | 138 | 0 | 23 |
189b013efcd77df638af98d1d0af87b2d565f03e | 880 | py | Python | Curso-em-video/Aula_104.py | JhonAI13/Curso_python | 27dedb0effa2c26140f46392e993b8e7a27d6eb3 | [
"MIT"
] | null | null | null | Curso-em-video/Aula_104.py | JhonAI13/Curso_python | 27dedb0effa2c26140f46392e993b8e7a27d6eb3 | [
"MIT"
] | null | null | null | Curso-em-video/Aula_104.py | JhonAI13/Curso_python | 27dedb0effa2c26140f46392e993b8e7a27d6eb3 | [
"MIT"
] | null | null | null | # """ 104: Crie um programa que tenha a função leiaInt(), que vai funcionar de forma
# semelhante 'a função input() do Python, só que fazendo a validação para aceitar apenas um valor numérico.
# Ex: n = leiaInt('Digite um n: ')"""
#
#
# def leia_int(num):
# n = str(input(num))
# while True:
# if not n.i... | 26.666667 | 107 | 0.576136 | # """ 104: Crie um programa que tenha a função leiaInt(), que vai funcionar de forma
# semelhante 'a função input() do Python, só que fazendo a validação para aceitar apenas um valor numérico.
# Ex: n = leiaInt('Digite um n: ')"""
#
#
# def leia_int(num):
# n = str(input(num))
# while True:
# if not n.i... | 219 | 0 | 23 |
a4f2eb67e8e54325f2a702921007de9ede24afc9 | 7,195 | py | Python | servicecatalog_puppet/constants_unit_test.py | awslabs/aws-service-catalog-puppet | f8cbf078ad8b31bf191e32ee4f6038c25b721286 | [
"Apache-2.0"
] | 66 | 2019-04-23T12:10:27.000Z | 2022-03-31T19:47:09.000Z | servicecatalog_puppet/constants_unit_test.py | awslabs/aws-service-catalog-puppet | f8cbf078ad8b31bf191e32ee4f6038c25b721286 | [
"Apache-2.0"
] | 283 | 2019-04-18T22:21:20.000Z | 2022-03-31T10:04:42.000Z | servicecatalog_puppet/constants_unit_test.py | awslabs/aws-service-catalog-puppet | f8cbf078ad8b31bf191e32ee4f6038c25b721286 | [
"Apache-2.0"
] | 47 | 2019-05-14T12:45:57.000Z | 2022-03-25T17:54:22.000Z | # Copyright 2021 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
| 45.251572 | 101 | 0.74524 | # Copyright 2021 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
def test_constants_values():
# setup
from servicecatalog_puppet import constants
# exercise
# verify
assert constants.PREFIX == "SC-P--"
assert constants.BOOTSTRAP_STACK_NAME == "... | 7,057 | 0 | 23 |
bee68e3df294d406e351d2aff08551938b188b68 | 21,635 | py | Python | src/vardb/deposit/deposit_analysis.py | Dabble-of-DevOps-Bio/ella | e38631d302611a143c9baaa684bcbd014d9734e4 | [
"MIT"
] | null | null | null | src/vardb/deposit/deposit_analysis.py | Dabble-of-DevOps-Bio/ella | e38631d302611a143c9baaa684bcbd014d9734e4 | [
"MIT"
] | null | null | null | src/vardb/deposit/deposit_analysis.py | Dabble-of-DevOps-Bio/ella | e38631d302611a143c9baaa684bcbd014d9734e4 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
Code for loading the contents of VCF files into the vardb database.
Use one transaction for whole file, and prompts user before committing.
Adds annotation if supplied annotation is different than what is already in db.
Can use specific annotation parsers to split e.g. allele specific annotat... | 39.264973 | 120 | 0.557985 | #!/usr/bin/env python
"""
Code for loading the contents of VCF files into the vardb database.
Use one transaction for whole file, and prompts user before committing.
Adds annotation if supplied annotation is different than what is already in db.
Can use specific annotation parsers to split e.g. allele specific annotat... | 5,543 | 14,229 | 127 |
21a0fb13c441aab710ff43e476dfe91fdd0dbf35 | 2,736 | py | Python | gui/feature_tool_delete.py | mdvandamme/PoussePousseEditData | 1864cd7ddad7002c050c2296b2d90ea817e12f57 | [
"MIT"
] | null | null | null | gui/feature_tool_delete.py | mdvandamme/PoussePousseEditData | 1864cd7ddad7002c050c2296b2d90ea817e12f57 | [
"MIT"
] | null | null | null | gui/feature_tool_delete.py | mdvandamme/PoussePousseEditData | 1864cd7ddad7002c050c2296b2d90ea817e12f57 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
/***************************************************************************
Delete point. Synchonize with layer and file
-------------------
begin : 2018-07-11
git sha : $Format:%H$
author : M... | 29.73913 | 78 | 0.467471 | # -*- coding: utf-8 -*-
"""
/***************************************************************************
Delete point. Synchonize with layer and file
-------------------
begin : 2018-07-11
git sha : $Format:%H$
author : M... | 259 | 1,832 | 23 |
2f216323cd83ace785f153d8023969597da0dfc9 | 17 | py | Python | website/list/__init__.py | webcpp/pyexample | c56d307520899501f7e94261b54d2707a5a6e25d | [
"MIT"
] | 377 | 2017-06-13T23:46:08.000Z | 2022-03-25T01:03:39.000Z | website/list/__init__.py | webcpp/pyexample | c56d307520899501f7e94261b54d2707a5a6e25d | [
"MIT"
] | 16 | 2017-06-18T11:11:56.000Z | 2021-01-06T02:06:12.000Z | website/list/__init__.py | webcpp/pyexample | c56d307520899501f7e94261b54d2707a5a6e25d | [
"MIT"
] | 75 | 2017-06-14T01:07:00.000Z | 2021-12-31T05:27:46.000Z | __all__=['index'] | 17 | 17 | 0.705882 | __all__=['index'] | 0 | 0 | 0 |
3b482ba5096f0353db794fc31067b786f093a3f2 | 2,007 | py | Python | tests/conftest.py | skywing/sample-python-sqlalchemy | 61513336936dc69030af01409fd746913185ec68 | [
"MIT"
] | null | null | null | tests/conftest.py | skywing/sample-python-sqlalchemy | 61513336936dc69030af01409fd746913185ec68 | [
"MIT"
] | null | null | null | tests/conftest.py | skywing/sample-python-sqlalchemy | 61513336936dc69030af01409fd746913185ec68 | [
"MIT"
] | null | null | null | from uuid import uuid4
import time
import docker
import pytest
@pytest.fixture(scope='session')
def root_directory(request):
"""Return the project root directory so the docker API can locate the Dockerfile"""
return str(request.config.rootdir)
@pytest.fixture(scope='session')
def session_uuid() -> str:
... | 31.857143 | 105 | 0.669656 | from uuid import uuid4
import time
import docker
import pytest
@pytest.fixture(scope='session')
def root_directory(request):
"""Return the project root directory so the docker API can locate the Dockerfile"""
return str(request.config.rootdir)
@pytest.fixture(scope='session')
def session_uuid() -> str:
... | 1,497 | 0 | 22 |
08ae64ebaa1e29c0cdbcf44d39700a32bf2d5aa9 | 13,428 | py | Python | biserici_inlemnite/biserici/migrations/0002_auto_20210729_1649.py | ck-tm/biserici-inlemnite | c9d12127b92f25d3ab2fcc7b4c386419fe308a4e | [
"MIT"
] | null | null | null | biserici_inlemnite/biserici/migrations/0002_auto_20210729_1649.py | ck-tm/biserici-inlemnite | c9d12127b92f25d3ab2fcc7b4c386419fe308a4e | [
"MIT"
] | null | null | null | biserici_inlemnite/biserici/migrations/0002_auto_20210729_1649.py | ck-tm/biserici-inlemnite | c9d12127b92f25d3ab2fcc7b4c386419fe308a4e | [
"MIT"
] | null | null | null | # Generated by Django 3.1.13 on 2021-07-29 13:49
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
| 51.646154 | 188 | 0.651996 | # Generated by Django 3.1.13 on 2021-07-29 13:49
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('bis... | 0 | 13,247 | 23 |
165c0a2714c4d1044b6a5ff9ba17edf6cc5fe708 | 433 | py | Python | test/programytest/storage/entities/test_braintree.py | cdoebler1/AIML2 | ee692ec5ea3794cd1bc4cc8ec2a6b5e5c20a0d6a | [
"MIT"
] | 345 | 2016-11-23T22:37:04.000Z | 2022-03-30T20:44:44.000Z | test/programytest/storage/entities/test_braintree.py | MikeyBeez/program-y | 00d7a0c7d50062f18f0ab6f4a041068e119ef7f0 | [
"MIT"
] | 275 | 2016-12-07T10:30:28.000Z | 2022-02-08T21:28:33.000Z | test/programytest/storage/entities/test_braintree.py | VProgramMist/modified-program-y | f32efcafafd773683b3fe30054d5485fe9002b7d | [
"MIT"
] | 159 | 2016-11-28T18:59:30.000Z | 2022-03-20T18:02:44.000Z | import unittest
import unittest.mock
from programy.storage.entities.braintree import BraintreeStore
| 30.928571 | 63 | 0.732102 | import unittest
import unittest.mock
from programy.storage.entities.braintree import BraintreeStore
class BraintreeStoreTests(unittest.TestCase):
def test_save_braintree(self):
store = BraintreeStore()
with self.assertRaises(NotImplementedError):
client_context = unittest.mock.Mock()... | 258 | 24 | 50 |
6653615b19835c8b23801549af20302977e61fa4 | 7,750 | py | Python | project/lit_gat.py | amorehead/Equivariant-GNNs | 4e81136242a4c8905b0e5fc39be5f704a42cc5e1 | [
"Apache-2.0"
] | 2 | 2021-10-07T12:53:51.000Z | 2022-01-04T19:26:08.000Z | project/lit_gat.py | amorehead/Equivariant-GNNs | 4e81136242a4c8905b0e5fc39be5f704a42cc5e1 | [
"Apache-2.0"
] | null | null | null | project/lit_gat.py | amorehead/Equivariant-GNNs | 4e81136242a4c8905b0e5fc39be5f704a42cc5e1 | [
"Apache-2.0"
] | null | null | null | import os
import pytorch_lightning as pl
from dgl.nn.pytorch import GATConv
from pytorch_lightning.callbacks import ModelCheckpoint, EarlyStopping, LearningRateMonitor
from torch.nn import BCEWithLogitsLoss, ModuleList
from torch.nn.functional import elu
from torch.optim import Adam
from torchmetrics import F1
from p... | 34.753363 | 118 | 0.638452 | import os
import pytorch_lightning as pl
from dgl.nn.pytorch import GATConv
from pytorch_lightning.callbacks import ModelCheckpoint, EarlyStopping, LearningRateMonitor
from torch.nn import BCEWithLogitsLoss, ModuleList
from torch.nn.functional import elu
from torch.optim import Adam
from torchmetrics import F1
from p... | 2,511 | 0 | 104 |
66272a0a136759af8b432234302a33adf2071b04 | 2,776 | py | Python | lib/request.py | jtowers/dxmate | ffaedb295996c1b4ac8fab4c707944a9c42afd04 | [
"MIT"
] | 1 | 2017-08-30T18:11:45.000Z | 2017-08-30T18:11:45.000Z | lib/request.py | jtowers/dxmate | ffaedb295996c1b4ac8fab4c707944a9c42afd04 | [
"MIT"
] | null | null | null | lib/request.py | jtowers/dxmate | ffaedb295996c1b4ac8fab4c707944a9c42afd04 | [
"MIT"
] | null | null | null | #MIT License
#
#Copyright (c) 2017 Tom van Ommeren
#
#Permission is hereby granted, free of charge, to any person obtaining a copy
#of this software and associated documentation files (the "Software"), to deal
#in the Software without restriction, including without limitation the rights
#to use, copy, modify, merge, pu... | 32.658824 | 79 | 0.701369 | #MIT License
#
#Copyright (c) 2017 Tom van Ommeren
#
#Permission is hereby granted, free of charge, to any person obtaining a copy
#of this software and associated documentation files (the "Software"), to deal
#in the Software without restriction, including without limitation the rights
#to use, copy, modify, merge, pu... | 1,049 | 558 | 22 |
1cc74c0b296a410aa72393543d7d7a0a6d5c05d3 | 2,677 | py | Python | celery_queue/tests/permits_data_generator.py | olmax99/pyathenastack | de2a646bf99be9d5c45bf771f73a6f0ef81c6227 | [
"Unlicense"
] | 2 | 2019-10-17T14:48:50.000Z | 2019-10-20T12:24:41.000Z | celery_queue/tests/permits_data_generator.py | olmax99/dockerflaskapi | de2a646bf99be9d5c45bf771f73a6f0ef81c6227 | [
"Unlicense"
] | 1 | 2021-06-02T00:20:51.000Z | 2021-06-02T00:20:51.000Z | celery_queue/tests/permits_data_generator.py | olmax99/pyathenastack | de2a646bf99be9d5c45bf771f73a6f0ef81c6227 | [
"Unlicense"
] | null | null | null | import json
import string
import time
import pandas as pd
from datetime import timedelta, datetime
from random import randint, uniform, choice, randrange, choices
def random_time_range(start, end, file_format, prop):
"""Get a time at a proportion of a range of two formatted times.
start and end should be st... | 36.671233 | 149 | 0.632798 | import json
import string
import time
import pandas as pd
from datetime import timedelta, datetime
from random import randint, uniform, choice, randrange, choices
def random_time_range(start, end, file_format, prop):
"""Get a time at a proportion of a range of two formatted times.
start and end should be st... | 1,388 | 0 | 46 |
54cbc9bb73024d3df7a8e1085379001ed6e056c2 | 19,756 | py | Python | optimus/engines/pandas/ml/models.py | niallscc/Optimus | 35218401556e5acc4beb2859084128ebcd1ab4e5 | [
"Apache-2.0"
] | null | null | null | optimus/engines/pandas/ml/models.py | niallscc/Optimus | 35218401556e5acc4beb2859084128ebcd1ab4e5 | [
"Apache-2.0"
] | null | null | null | optimus/engines/pandas/ml/models.py | niallscc/Optimus | 35218401556e5acc4beb2859084128ebcd1ab4e5 | [
"Apache-2.0"
] | null | null | null | from time import time
import joblib
import matplotlib.pyplot as plt
import numpy as np
from sklearn import decomposition
from sklearn import metrics
from sklearn.cluster import KMeans
from sklearn.decomposition import PCA
from sklearn.ensemble import RandomForestRegressor
from sklearn.linear_model import LinearRegressi... | 38.286822 | 131 | 0.588328 | from time import time
import joblib
import matplotlib.pyplot as plt
import numpy as np
from sklearn import decomposition
from sklearn import metrics
from sklearn.cluster import KMeans
from sklearn.decomposition import PCA
from sklearn.ensemble import RandomForestRegressor
from sklearn.linear_model import LinearRegressi... | 8,220 | 10,555 | 46 |
f2c7ced1309974aa41278df072ebf59305bb8d14 | 1,238 | py | Python | investmentGame/User.py | tobiaskamphuis/Investment-game | 7042f0527ea5e046f6ffbe73097996e94c8bb559 | [
"MIT"
] | null | null | null | investmentGame/User.py | tobiaskamphuis/Investment-game | 7042f0527ea5e046f6ffbe73097996e94c8bb559 | [
"MIT"
] | 1 | 2021-06-02T00:46:12.000Z | 2021-06-02T00:46:12.000Z | investmentGame/User.py | tobiaskamphuis/Investment-game | 7042f0527ea5e046f6ffbe73097996e94c8bb559 | [
"MIT"
] | null | null | null | from investmentGame.Order import Order
#from investmentGame.Portfolio import Portfolio
from sqlalchemy import Column, Integer, String, Boolean
from sqlalchemy.orm import relationship
from sqlalchemy.ext.declarative import declarative_base
from investmentGame.db import Base
#User(name='Jeroen', age=26, balance=20)#, p... | 36.411765 | 104 | 0.727787 | from investmentGame.Order import Order
#from investmentGame.Portfolio import Portfolio
from sqlalchemy import Column, Integer, String, Boolean
from sqlalchemy.orm import relationship
from sqlalchemy.ext.declarative import declarative_base
from investmentGame.db import Base
class User(Base):
__tablename__ = "users"... | 113 | 718 | 23 |
5e9710be8a6532e1f5e1f35a5c81a287842bb736 | 949 | py | Python | .hooks/jira_id/jira_id_check.py | mikbhub/pre-commit-pipeline | cf80bcfdc3cdd378a7473fac45890b38a88bbaa0 | [
"Apache-2.0"
] | null | null | null | .hooks/jira_id/jira_id_check.py | mikbhub/pre-commit-pipeline | cf80bcfdc3cdd378a7473fac45890b38a88bbaa0 | [
"Apache-2.0"
] | null | null | null | .hooks/jira_id/jira_id_check.py | mikbhub/pre-commit-pipeline | cf80bcfdc3cdd378a7473fac45890b38a88bbaa0 | [
"Apache-2.0"
] | null | null | null | import re
import sys
JIRA_ID_REGEX = re.compile(r"[A-Z]+-\d+")
MISSING_JIRA_ID_MSG = """
Commit message is missing [JIRA task id].
Include [JIRA task id] in commit message, like so:
#################################
ABC-123 this is my commit message
#################################
where ABC-123 is a sample [JIRA t... | 26.361111 | 97 | 0.679663 | import re
import sys
JIRA_ID_REGEX = re.compile(r"[A-Z]+-\d+")
MISSING_JIRA_ID_MSG = """
Commit message is missing [JIRA task id].
Include [JIRA task id] in commit message, like so:
#################################
ABC-123 this is my commit message
#################################
where ABC-123 is a sample [JIRA t... | 83 | 0 | 23 |
1750cfbf173ab7f2a53b410c1505978c8aa64cbf | 809 | py | Python | invenio_records_lom/services/permissions.py | tu-graz-library/invenio-records-lom | c811506e51a1ed15d11cf10d6e6ef83a4ecc202b | [
"MIT"
] | null | null | null | invenio_records_lom/services/permissions.py | tu-graz-library/invenio-records-lom | c811506e51a1ed15d11cf10d6e6ef83a4ecc202b | [
"MIT"
] | 18 | 2020-10-21T07:58:14.000Z | 2022-03-29T12:10:25.000Z | invenio_records_lom/services/permissions.py | tu-graz-library/invenio-records-lom | c811506e51a1ed15d11cf10d6e6ef83a4ecc202b | [
"MIT"
] | 7 | 2020-10-06T08:46:40.000Z | 2021-07-06T13:21:29.000Z | # -*- coding: utf-8 -*-
#
# Copyright (C) 2021 Graz University of Technology.
#
# invenio-records-lom is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""Permission-config classes for LOMRecordService-objects."""
from invenio_records_p... | 33.708333 | 83 | 0.763906 | # -*- coding: utf-8 -*-
#
# Copyright (C) 2021 Graz University of Technology.
#
# invenio-records-lom is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""Permission-config classes for LOMRecordService-objects."""
from invenio_records_p... | 0 | 0 | 0 |
90a28856cd405554c342c82c85972e08614b06b1 | 235 | py | Python | exercicios_basico/ex031.py | montalvas/python | 483c2097f6f91bfae127dafcb63e3006eeecad1d | [
"MIT"
] | null | null | null | exercicios_basico/ex031.py | montalvas/python | 483c2097f6f91bfae127dafcb63e3006eeecad1d | [
"MIT"
] | null | null | null | exercicios_basico/ex031.py | montalvas/python | 483c2097f6f91bfae127dafcb63e3006eeecad1d | [
"MIT"
] | null | null | null | # Leia a distancia da viagem e calcule o valor da passagem
d = float(input('Informe a distância da sua viagem: '))
if d <= 200:
p = d * 0.5
else:
p = d * 0.45
print('Para uma viagem de {}, você pagará R$ {:.2f}'.format(d, p))
| 26.111111 | 66 | 0.617021 | # Leia a distancia da viagem e calcule o valor da passagem
d = float(input('Informe a distância da sua viagem: '))
if d <= 200:
p = d * 0.5
else:
p = d * 0.45
print('Para uma viagem de {}, você pagará R$ {:.2f}'.format(d, p))
| 0 | 0 | 0 |
c2597afd0a5d07d6c5b7345ac096cc31a1c1a631 | 1,322 | py | Python | tests/tests_unit/test_evaluator.py | vegarsti/toydb | 4d94afd010aa53e1ba859ff74309e8aa5b091dc6 | [
"Apache-2.0"
] | 1 | 2020-05-27T17:11:58.000Z | 2020-05-27T17:11:58.000Z | tests/tests_unit/test_evaluator.py | vegarsti/toydb | 4d94afd010aa53e1ba859ff74309e8aa5b091dc6 | [
"Apache-2.0"
] | 11 | 2020-05-25T12:58:47.000Z | 2020-06-27T20:02:08.000Z | tests/tests_unit/test_evaluator.py | vegarsti/toydb | 4d94afd010aa53e1ba859ff74309e8aa5b091dc6 | [
"Apache-2.0"
] | null | null | null | from typing import List, Optional, Union
from vgdb.evaluator import Evaluator
from vgdb.lexer import Lexer
from vgdb.parser import Parser
from vgdb.statement import CreateTable, Insert, Select
from vgdb.table import Table
| 36.722222 | 73 | 0.653555 | from typing import List, Optional, Union
from vgdb.evaluator import Evaluator
from vgdb.lexer import Lexer
from vgdb.parser import Parser
from vgdb.statement import CreateTable, Insert, Select
from vgdb.table import Table
class TestEvaluator:
def test_eval_persistent(self):
user_input = "select * from fa... | 1,023 | -1 | 76 |
40c65e5f8ced90a996ab54a4df74d1774a76b8a6 | 3,455 | py | Python | tests/ut/python/train/summary/test_summary_abnormal_input.py | doc22940/mindspore | 21bcdcd8adb97b9171b2822a7ed2c4c138c99607 | [
"Apache-2.0"
] | 1 | 2020-05-13T11:31:21.000Z | 2020-05-13T11:31:21.000Z | tests/ut/python/train/summary/test_summary_abnormal_input.py | doc22940/mindspore | 21bcdcd8adb97b9171b2822a7ed2c4c138c99607 | [
"Apache-2.0"
] | null | null | null | tests/ut/python/train/summary/test_summary_abnormal_input.py | doc22940/mindspore | 21bcdcd8adb97b9171b2822a7ed2c4c138c99607 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 26.782946 | 78 | 0.690304 | # Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 1,715 | 0 | 137 |
59ffaa9c898e6572833a239893975e0326d5b07f | 2,752 | py | Python | tccli/main.py | tencentcloudapi-test/tencentcloud-cli | da9733765df2b405b83b7acff48256f31e053ab1 | [
"Apache-2.0"
] | null | null | null | tccli/main.py | tencentcloudapi-test/tencentcloud-cli | da9733765df2b405b83b7acff48256f31e053ab1 | [
"Apache-2.0"
] | null | null | null | tccli/main.py | tencentcloudapi-test/tencentcloud-cli | da9733765df2b405b83b7acff48256f31e053ab1 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import _locale
_locale._getdefaultlocale = (lambda *args: ['zh_CN', 'utf8'])
import io
import os
import sys
import six
import signal
from tccli.log import init
from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException
try:
reload(sys) # Python 2.7
... | 29.276596 | 119 | 0.623183 | # -*- coding: utf-8 -*-
import _locale
_locale._getdefaultlocale = (lambda *args: ['zh_CN', 'utf8'])
import io
import os
import sys
import six
import signal
from tccli.log import init
from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException
try:
reload(sys) # Python 2.7
... | 1,770 | 0 | 23 |
119bd88f6a2a23262c07711b0a989a2a0fbd150a | 621 | py | Python | thebookgarden/thebookgarden/utils.py | ArsalanJamali/TheBookGarden | 153bfa229cd897b19b9e0827acc06dbe63558174 | [
"MIT"
] | null | null | null | thebookgarden/thebookgarden/utils.py | ArsalanJamali/TheBookGarden | 153bfa229cd897b19b9e0827acc06dbe63558174 | [
"MIT"
] | null | null | null | thebookgarden/thebookgarden/utils.py | ArsalanJamali/TheBookGarden | 153bfa229cd897b19b9e0827acc06dbe63558174 | [
"MIT"
] | null | null | null | from product_app.models import Book
| 31.05 | 71 | 0.647343 | from product_app.models import Book
def get_new_cart_items_subtotal(cart):
purchased_book_list=[]
quantity_of_book=[]
subtotal=0
for item_pk,item_quantity in cart.items():
item_pk=int(item_pk)
item_quantity=int(item_quantity)
obj=None
try:
obj=Book.objects.get... | 555 | 0 | 30 |
15d5e919f0c7c7fe28b3306ba1b0783fb33d3e10 | 69 | py | Python | pinterest/users/models/__init__.py | platzi-pinterest/backend | 6a6cb4f8cbc4c8ad01e184264486ae466f403059 | [
"MIT"
] | null | null | null | pinterest/users/models/__init__.py | platzi-pinterest/backend | 6a6cb4f8cbc4c8ad01e184264486ae466f403059 | [
"MIT"
] | null | null | null | pinterest/users/models/__init__.py | platzi-pinterest/backend | 6a6cb4f8cbc4c8ad01e184264486ae466f403059 | [
"MIT"
] | null | null | null | from .user import User # noqa
from .profiles import Profile # noqa
| 23 | 37 | 0.73913 | from .user import User # noqa
from .profiles import Profile # noqa
| 0 | 0 | 0 |
692835eb29be0beda0d5ed2785598cce849598f5 | 185 | py | Python | tmp/ve_asus-rt-n14uhp-mrtg/bin/django-admin.py | jasonwee/asus-rt-n14uhp-mrtg | 4fa96c3406e32ea6631ce447db6d19d70b2cd061 | [
"Apache-2.0"
] | 3 | 2018-08-14T09:33:52.000Z | 2022-03-21T12:31:58.000Z | tmp/ve_asus-rt-n14uhp-mrtg/bin/django-admin.py | jasonwee/asus-rt-n14uhp-mrtg | 4fa96c3406e32ea6631ce447db6d19d70b2cd061 | [
"Apache-2.0"
] | null | null | null | tmp/ve_asus-rt-n14uhp-mrtg/bin/django-admin.py | jasonwee/asus-rt-n14uhp-mrtg | 4fa96c3406e32ea6631ce447db6d19d70b2cd061 | [
"Apache-2.0"
] | null | null | null | #!/home/jason/oss/asus-rt-n14uhp-mrtg/tmp/ve_asus-rt-n14uhp-mrtg/bin/python3.4
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| 30.833333 | 78 | 0.778378 | #!/home/jason/oss/asus-rt-n14uhp-mrtg/tmp/ve_asus-rt-n14uhp-mrtg/bin/python3.4
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| 0 | 0 | 0 |
736a2afe3408ac6e2f3ed6cdcb49049f80c12c0c | 3,817 | py | Python | cheesecake/logger.py | griggheo/cheesecake | 2b7aa5c980e8becb163cbcb801b202b17f715054 | [
"CNRI-Python-GPL-Compatible"
] | 12 | 2015-01-15T01:13:42.000Z | 2022-03-04T21:14:27.000Z | cheesecake/logger.py | griggheo/cheesecake | 2b7aa5c980e8becb163cbcb801b202b17f715054 | [
"CNRI-Python-GPL-Compatible"
] | 6 | 2015-01-19T19:46:51.000Z | 2019-02-05T20:20:26.000Z | cheesecake/logger.py | griggheo/cheesecake | 2b7aa5c980e8becb163cbcb801b202b17f715054 | [
"CNRI-Python-GPL-Compatible"
] | 3 | 2015-10-24T20:08:09.000Z | 2019-02-04T20:53:21.000Z | from __future__ import print_function
import sys
import re
########################################################
############### PRODUCERS ##############################
########################################################
class Producer(object):
""" Log producer API which sends messages to be logged
... | 29.361538 | 75 | 0.566675 | from __future__ import print_function
import sys
import re
########################################################
############### PRODUCERS ##############################
########################################################
class Message(object):
def __init__(self, keywords, args):
self.keywords = ... | 2,482 | 7 | 559 |