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5b30a5923b7c87c6ca0fe0b78674c26bbe53e6fb | 4,215 | py | Python | theano/misc/tests/test_pycuda_theano_simple.py | mdda/Theano | 6ca7b2b65000e371f009b617d41bc5a90f022d38 | [
"BSD-3-Clause"
] | 295 | 2015-09-25T21:15:04.000Z | 2022-01-13T01:16:18.000Z | libs/Theano/theano/misc/tests/test_pycuda_theano_simple.py | shenshenzhanzhan/attention-lvcsr | 598d487c118e66875fdd625baa84ed29d283b800 | [
"MIT"
] | 21 | 2015-10-28T19:06:32.000Z | 2022-03-11T23:13:05.000Z | libs/Theano/theano/misc/tests/test_pycuda_theano_simple.py | shenshenzhanzhan/attention-lvcsr | 598d487c118e66875fdd625baa84ed29d283b800 | [
"MIT"
] | 114 | 2015-09-26T21:23:02.000Z | 2021-11-19T02:36:41.000Z | """
This file is an example of view the memory allocated by pycuda in a GpuArray
in a CudaNdarray to be able to use it in Theano.
This also serve as a test for the function: cuda_ndarray.from_gpu_pointer
"""
from __future__ import print_function
import sys
import numpy
import theano
import theano.sandbox.cuda as cu... | 32.175573 | 80 | 0.667378 |
c3e3cf4445e48612d7c910d9206404157c9eaca4 | 7,155 | py | Python | sdk/python/pulumi_azure_nextgen/recoveryservices/latest/replication_protection_container_mapping.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 31 | 2020-09-21T09:41:01.000Z | 2021-02-26T13:21:59.000Z | sdk/python/pulumi_azure_nextgen/recoveryservices/latest/replication_protection_container_mapping.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 231 | 2020-09-21T09:38:45.000Z | 2021-03-01T11:16:03.000Z | sdk/python/pulumi_azure_nextgen/recoveryservices/latest/replication_protection_container_mapping.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 4 | 2020-09-29T14:14:59.000Z | 2021-02-10T20:38:16.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... | 49.006849 | 451 | 0.685255 |
61bf9b0ed3c3a7aa27a79c5fb6c602fca0aaa70c | 3,836 | py | Python | pypy/module/binascii/interp_base64.py | Qointum/pypy | c0ed88efbc135a75a535f4534ca1f3baf0bf39d8 | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | pypy/module/binascii/interp_base64.py | Qointum/pypy | c0ed88efbc135a75a535f4534ca1f3baf0bf39d8 | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | pypy/module/binascii/interp_base64.py | Qointum/pypy | c0ed88efbc135a75a535f4534ca1f3baf0bf39d8 | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | from pypy.interpreter.error import OperationError
from pypy.interpreter.gateway import unwrap_spec
from rpython.rlib.rstring import StringBuilder
from pypy.module.binascii.interp_binascii import raise_Error
from rpython.rlib.rarithmetic import ovfcheck
# ____________________________________________________________
PA... | 33.649123 | 75 | 0.541189 |
1675e9184d84800de36dc31b909d9704c8ad5428 | 3,053 | py | Python | venv/csv-io/csv-io.py | ilya-kondratyev/staff-load | 1a812279a204adc5682d95fa45a4507afdcd2d16 | [
"Apache-2.0"
] | null | null | null | venv/csv-io/csv-io.py | ilya-kondratyev/staff-load | 1a812279a204adc5682d95fa45a4507afdcd2d16 | [
"Apache-2.0"
] | null | null | null | venv/csv-io/csv-io.py | ilya-kondratyev/staff-load | 1a812279a204adc5682d95fa45a4507afdcd2d16 | [
"Apache-2.0"
] | null | null | null | import csv
import os.path
import shutil
"""
Module csv_io.py contains functions to read and write Employees,Projects,Tasks,Teams information from/to CSV file
File format is the following
--------
Employees.csv
Guid,Name,Grade,TotalTokens,AvailableTokens,List_of_AssignedTasks (colon separated list of Task Guids ),List_... | 31.802083 | 151 | 0.700295 |
8865f718221725896fe3cabf5410dd0a4b2a5d3d | 6,373 | py | Python | surpyval/regression/accelerated_failure_time.py | dfm/SurPyval | 014fba8f1d4a0f43218a3713ce80a78191ad8be9 | [
"MIT"
] | null | null | null | surpyval/regression/accelerated_failure_time.py | dfm/SurPyval | 014fba8f1d4a0f43218a3713ce80a78191ad8be9 | [
"MIT"
] | null | null | null | surpyval/regression/accelerated_failure_time.py | dfm/SurPyval | 014fba8f1d4a0f43218a3713ce80a78191ad8be9 | [
"MIT"
] | null | null | null | import autograd.numpy as np
from autograd import jacobian, hessian, elementwise_grad
from scipy.optimize import minimize
import surpyval
import inspect
from ..parametric.fitters import bounds_convert, fix_idx_and_function
from .regression import Regression
class AcceleratedFailureTimeFitter():
def __init__(self, ... | 34.263441 | 105 | 0.574769 |
57f7263e6efc8e66bed19ec85611cca5fdf39f18 | 2,970 | py | Python | static.py | nprapps/barkedu | 533e16eb0d8888c2474a4edb10bae6bb98369ac1 | [
"MIT"
] | 11 | 2015-02-26T15:45:58.000Z | 2017-08-25T09:25:12.000Z | static.py | nprapps/barkedu | 533e16eb0d8888c2474a4edb10bae6bb98369ac1 | [
"MIT"
] | 144 | 2015-01-16T21:38:30.000Z | 2015-02-19T22:35:29.000Z | static.py | nprapps/barkedu | 533e16eb0d8888c2474a4edb10bae6bb98369ac1 | [
"MIT"
] | 8 | 2015-03-02T07:31:01.000Z | 2021-02-23T10:43:50.000Z | #!/usr/bin/env python
import json
from mimetypes import guess_type
import os
from re import findall
import subprocess
from flask import abort, make_response
from werkzeug.datastructures import Headers
import app_config
import copytext
from flask import Blueprint
from render_utils import BetterJSONEncoder, flatten_a... | 29.7 | 109 | 0.639057 |
eef85fa5690db77caca8c5f4ffb5e8769e852d2e | 119 | py | Python | docs/source/examples/example_0.py | astooke/gtimer | 2146dab459e5d959feb291821733d3d3ba7c523c | [
"MIT"
] | 8 | 2016-09-08T05:40:40.000Z | 2020-04-29T18:17:54.000Z | docs/source/examples/example_0.py | astooke/gtimer | 2146dab459e5d959feb291821733d3d3ba7c523c | [
"MIT"
] | 1 | 2022-01-27T13:11:58.000Z | 2022-01-27T13:11:58.000Z | docs/source/examples/example_0.py | astooke/gtimer | 2146dab459e5d959feb291821733d3d3ba7c523c | [
"MIT"
] | null | null | null | import gtimer as gt
import time
time.sleep(0.1)
gt.stamp('first')
time.sleep(0.3)
gt.stamp('second')
print gt.report() | 14.875 | 19 | 0.722689 |
e6800e5d4711c037cb287ab918cc40891537ab8d | 397 | py | Python | Common/__ init __.py | mriosrivas/DSP_Student_2021 | 7d978d5a538e2eb198dfbe073b4d8dcbf1aa756f | [
"MIT"
] | 2 | 2022-01-25T04:58:58.000Z | 2022-03-24T23:00:13.000Z | Common/__ init __.py | mriosrivas/DSP_Student_2021 | 7d978d5a538e2eb198dfbe073b4d8dcbf1aa756f | [
"MIT"
] | 1 | 2021-11-25T00:39:40.000Z | 2021-11-25T00:39:40.000Z | Common/__ init __.py | mriosrivas/DSP_Student_2021 | 7d978d5a538e2eb198dfbe073b4d8dcbf1aa756f | [
"MIT"
] | null | null | null | from common_plots import Plot
from statistics import Statistics
from convolution import Convolve
from correlation import Correlation
from fourier_transform import FourierTransform
from fourier_inverse_transform import FourierInverseTransform
from complex_fourier_transform import ComplexFourierTransform
from fft import ... | 33.083333 | 61 | 0.884131 |
ef0a5df7ad2823b57a6f40e88b02aaedabc1cb15 | 4,367 | py | Python | bin/science_archival.py | tallamjr/fink-broker | 97753ff695b78ea52d084cac787dec6c52c4e4cc | [
"Apache-2.0"
] | 17 | 2019-03-08T12:37:06.000Z | 2022-02-01T18:02:07.000Z | bin/science_archival.py | astrolabsoftware/fink-broker | a52d3c5a7f38c7dd54a0786d5510e59b1e954c48 | [
"Apache-2.0"
] | 559 | 2019-03-07T14:55:27.000Z | 2022-03-11T20:13:12.000Z | bin/science_archival.py | tallamjr/fink-broker | 97753ff695b78ea52d084cac787dec6c52c4e4cc | [
"Apache-2.0"
] | 12 | 2019-03-08T13:04:38.000Z | 2022-01-23T22:22:50.000Z | #!/usr/bin/env python
# Copyright 2020 AstroLab Software
# Author: Julien Peloton
#
# 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... | 34.117188 | 78 | 0.711014 |
cabf9ee12c1c11741af2a089d5027d8cd5aeeabb | 1,053 | py | Python | tests/__init__.py | ONSdigital/census-rm-print-file-generator | 18cafe9f618abc423cec97af99c87b0c93091933 | [
"MIT"
] | 1 | 2019-04-16T12:38:21.000Z | 2019-04-16T12:38:21.000Z | tests/__init__.py | ONSdigital/census-rm-print-file-generator | 18cafe9f618abc423cec97af99c87b0c93091933 | [
"MIT"
] | 2 | 2019-04-09T08:30:40.000Z | 2019-04-24T07:03:45.000Z | tests/__init__.py | ONSdigital/census-rm-print-file-generator | 18cafe9f618abc423cec97af99c87b0c93091933 | [
"MIT"
] | 1 | 2021-04-11T08:06:28.000Z | 2021-04-11T08:06:28.000Z | import os
import unittest
from pathlib import Path
class IACConfigTestCase(unittest.TestCase):
test_iac_url = 'http://test'
def setUp(self) -> None:
super().setUp()
os.environ['IAC_URL'] = self.test_iac_url
os.environ['IAC_USERNAME'] = 'test_user'
os.environ['IAC_PASSWORD'] = ... | 30.970588 | 86 | 0.678063 |
fd95d61138af275c19e0e17f316a757f177e5760 | 1,156 | py | Python | Module 1/task1_3.py | bondss/python_scripts | e1fd96b15c22811e43f665ec354563f35522d2ad | [
"Apache-2.0"
] | null | null | null | Module 1/task1_3.py | bondss/python_scripts | e1fd96b15c22811e43f665ec354563f35522d2ad | [
"Apache-2.0"
] | null | null | null | Module 1/task1_3.py | bondss/python_scripts | e1fd96b15c22811e43f665ec354563f35522d2ad | [
"Apache-2.0"
] | null | null | null | # TASK
# Вхідні дані: 3 числа x, y та z. x, y -- невід'ємні цілі числа, z дорівнює 0 або 1. x не дорівнює 0
# Передаються як аргументи командного рядка.
# Вихідні дані: рядок "Everybody sing a song: <текст пісеньки>", де <текст пісеньки>
# формується з у куплетів, розділених пробілами. Всі куплети однакові і складаютьс... | 31.243243 | 100 | 0.628028 |
4703143a4d4007fb2e23136e114866031e97c860 | 1,639 | py | Python | provenance/tests/test_basic_import.py | kclhi/jupyter | 77b4068284bce7167956e58c1be07db6f26b83b3 | [
"MIT"
] | 1 | 2021-07-21T19:01:54.000Z | 2021-07-21T19:01:54.000Z | provenance/tests/test_basic_import.py | kclhi/jupyter | 77b4068284bce7167956e58c1be07db6f26b83b3 | [
"MIT"
] | 1 | 2021-04-23T16:31:14.000Z | 2021-04-23T16:31:14.000Z | provenance/tests/test_basic_import.py | kclhi/jupyter | 77b4068284bce7167956e58c1be07db6f26b83b3 | [
"MIT"
] | null | null | null | import unittest, git, random, string
from pony import orm
from api.models.base import db
from starlette.testclient import TestClient
from api import routes
from tests.fixtures import db_fixtures
class BasicTestImport(unittest.TestCase):
def setUp(self):
db.provider = db.schema = None;
db.bind(provider='sqli... | 37.25 | 232 | 0.627212 |
7367d01279fdcd6494650b70053a4461515ba7b5 | 9,782 | py | Python | thirdpart/registration/tests/models.py | weimens/seahub | 5ecf78ed7a2ddc72a23961804ee41be21c24893f | [
"Apache-2.0"
] | 420 | 2015-01-03T11:34:46.000Z | 2022-03-10T07:15:41.000Z | thirdpart/registration/tests/models.py | weimens/seahub | 5ecf78ed7a2ddc72a23961804ee41be21c24893f | [
"Apache-2.0"
] | 735 | 2015-01-04T21:22:51.000Z | 2022-03-31T09:26:07.000Z | thirdpart/registration/tests/models.py | weimens/seahub | 5ecf78ed7a2ddc72a23961804ee41be21c24893f | [
"Apache-2.0"
] | 379 | 2015-01-05T17:08:03.000Z | 2022-03-06T00:11:50.000Z | import datetime
import hashlib
import re
from django.conf import settings
from django.contrib.auth.models import User
from django.contrib.sites.models import Site
from django.core import mail
from django.core import management
from django.test import TestCase
from registration.models import RegistrationProfile
clas... | 43.283186 | 104 | 0.606113 |
91dcd957264edbb14c835ecdf828029b19d1140a | 10,023 | py | Python | tests/test_search_info_10_15_5.py | oPromessa/osxphotos | 0d7e324f0262093727147b9f22ed275e962e8725 | [
"MIT"
] | null | null | null | tests/test_search_info_10_15_5.py | oPromessa/osxphotos | 0d7e324f0262093727147b9f22ed275e962e8725 | [
"MIT"
] | null | null | null | tests/test_search_info_10_15_5.py | oPromessa/osxphotos | 0d7e324f0262093727147b9f22ed275e962e8725 | [
"MIT"
] | null | null | null | """ test PhotoInfo.search_info """
import pytest
from osxphotos._constants import _UNKNOWN_PERSON
PHOTOS_DB = "./tests/Test-10.15.5.photoslibrary/database/photos.db"
PHOTOS_DB_PATH = "/Test-10.15.5.photoslibrary/database/photos.db"
PHOTOS_LIBRARY_PATH = "/Test-10.15.5.photoslibrary"
LABELS_DICT = {
# A92D9C26-... | 26.799465 | 193 | 0.584955 |
35a90e66328c958604f970f350da4fdf048407ef | 19,661 | py | Python | fulfil_client/client.py | craigfern/fulfil-python-api | 42eaaf20e20c53c4028c9b8cb57b42d7f160f289 | [
"0BSD"
] | 6 | 2016-04-16T02:16:30.000Z | 2021-04-16T07:54:52.000Z | fulfil_client/client.py | craigfern/fulfil-python-api | 42eaaf20e20c53c4028c9b8cb57b42d7f160f289 | [
"0BSD"
] | 21 | 2016-06-22T16:18:16.000Z | 2020-08-07T13:03:18.000Z | fulfil_client/client.py | craigfern/fulfil-python-api | 42eaaf20e20c53c4028c9b8cb57b42d7f160f289 | [
"0BSD"
] | 19 | 2016-03-17T20:21:50.000Z | 2021-04-16T07:54:56.000Z | import base64
import hashlib
import hmac
import logging
from collections import defaultdict
from contextlib import contextmanager
from datetime import datetime
from functools import wraps
import requests
from requests.adapters import HTTPAdapter
from requests.packages.urllib3.util.retry import Retry
from more_itertool... | 29.38864 | 79 | 0.554346 |
9e0862a14079dc05e3330e216c4e5d2df1d27f20 | 583 | py | Python | spams_nmf.py | zygmuntz/dimensionality-reduction-for-sparse-binary-data | 16b7e9e1a3c41b4eb1338f96fbb0cadad3d2b6e7 | [
"Unlicense"
] | 18 | 2015-02-02T21:35:48.000Z | 2019-05-05T02:20:28.000Z | spams_nmf.py | zygmuntz/dimensionality-reduction-for-sparse-binary-data | 16b7e9e1a3c41b4eb1338f96fbb0cadad3d2b6e7 | [
"Unlicense"
] | null | null | null | spams_nmf.py | zygmuntz/dimensionality-reduction-for-sparse-binary-data | 16b7e9e1a3c41b4eb1338f96fbb0cadad3d2b6e7 | [
"Unlicense"
] | 5 | 2016-07-26T13:11:01.000Z | 2022-02-01T05:35:05.000Z | 'map input file (libsvm) to <argv[3]> topics, output csv'
from sklearn.datasets import load_svmlight_file
import numpy as np
import spams
import sys
input_file = sys.argv[1]
output_file = sys.argv[2]
try:
num_topics = int( sys.argv[3] )
except IndexError:
num_topics = 50
x_train, y_train = load_svmlight_file( inpu... | 24.291667 | 90 | 0.722127 |
18f0306a4edaa61e3d393e358aaf7d3758214e9a | 497 | py | Python | Algorithms/Easy/633. Sum of Square Numbers/answer.py | KenWoo/Algorithm | 4012a2f0a099a502df1e5df2e39faa75fe6463e8 | [
"Apache-2.0"
] | null | null | null | Algorithms/Easy/633. Sum of Square Numbers/answer.py | KenWoo/Algorithm | 4012a2f0a099a502df1e5df2e39faa75fe6463e8 | [
"Apache-2.0"
] | null | null | null | Algorithms/Easy/633. Sum of Square Numbers/answer.py | KenWoo/Algorithm | 4012a2f0a099a502df1e5df2e39faa75fe6463e8 | [
"Apache-2.0"
] | null | null | null | from typing import List
class Solution:
def judgeSquareSum(self, c: int) -> bool:
i = 2
while i * i <= c:
count = 0
if c % i == 0:
while c % i == 0:
count += 1
c //= i
if i % 4 == 3 and count % 2 != 0:
... | 21.608696 | 49 | 0.394366 |
c960f97df84624c96f4c85fc91f46edd0a467d9e | 11,996 | py | Python | dumpfreeze/main.py | rkcf/dumpfreeze | e9b18e4bc4574ff3b647a075cecd72977dc8f59a | [
"MIT"
] | 1 | 2020-01-30T17:59:50.000Z | 2020-01-30T17:59:50.000Z | dumpfreeze/main.py | rkcf/dumpfreeze | e9b18e4bc4574ff3b647a075cecd72977dc8f59a | [
"MIT"
] | null | null | null | dumpfreeze/main.py | rkcf/dumpfreeze | e9b18e4bc4574ff3b647a075cecd72977dc8f59a | [
"MIT"
] | null | null | null | # dumpfreeze
# Create MySQL dumps and backup to Amazon Glacier
import os
import logging
import datetime
import click
import uuid
import sqlalchemy as sa
from dumpfreeze import backup as bak
from dumpfreeze import aws
from dumpfreeze import inventorydb
from dumpfreeze import __version__
logger = logging.getLogger(__na... | 29.766749 | 79 | 0.614288 |
e567920be29be2ad957e02b9b7b2c36eb1a7f8e5 | 5,544 | py | Python | fintie/stock/gudong.py | zccfzcc/fintie | a52c5a423b215e654e7526217e4a34a58a7a046f | [
"Apache-2.0"
] | 5 | 2018-05-29T09:13:16.000Z | 2020-04-27T12:35:57.000Z | fintie/stock/gudong.py | zccfzcc/fintie | a52c5a423b215e654e7526217e4a34a58a7a046f | [
"Apache-2.0"
] | 96 | 2018-05-04T08:29:10.000Z | 2020-06-14T15:54:00.000Z | fintie/stock/gudong.py | zccfzcc/fintie | a52c5a423b215e654e7526217e4a34a58a7a046f | [
"Apache-2.0"
] | 3 | 2020-12-28T09:43:50.000Z | 2022-01-27T13:38:49.000Z | # -*- coding: utf-8 -*-
# This file is part of fintie.
# Copyright (C) 2018-present qytz <hhhhhf@foxmail.com>
#
# 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/li... | 26.653846 | 84 | 0.648629 |
7949b1a561f113dc5d0f06aa6c43eaa8050dff3a | 6,135 | py | Python | rp/rsa.py | bptripp/rp | f076034547f7f8afe0f8aad8d0122f7035ca4ed1 | [
"MIT"
] | null | null | null | rp/rsa.py | bptripp/rp | f076034547f7f8afe0f8aad8d0122f7035ca4ed1 | [
"MIT"
] | null | null | null | rp/rsa.py | bptripp/rp | f076034547f7f8afe0f8aad8d0122f7035ca4ed1 | [
"MIT"
] | null | null | null | # Gradient descent to find random activity pattern with given representational
# similarity matrix. This works better than taking steps in null space of similarity
# matrix.
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
def get_random_stimuli(n_stim, dim):
"""
:param n_stim: Numb... | 38.829114 | 121 | 0.68639 |
2756f12a7a4a1893fbfdbe65fde1576abd8836ff | 10,873 | py | Python | gen/pb_python/flyteidl/service/flyteadmin/flyteadmin/models/admin_node_execution_closure.py | EngHabu/flyteidl | d7970314fc2bcbd2840610b4d42ea2886f0837b9 | [
"Apache-2.0"
] | null | null | null | gen/pb_python/flyteidl/service/flyteadmin/flyteadmin/models/admin_node_execution_closure.py | EngHabu/flyteidl | d7970314fc2bcbd2840610b4d42ea2886f0837b9 | [
"Apache-2.0"
] | 3 | 2021-03-27T12:20:58.000Z | 2021-03-29T09:45:45.000Z | gen/pb_python/flyteidl/service/flyteadmin/flyteadmin/models/admin_node_execution_closure.py | EngHabu/flyteidl | d7970314fc2bcbd2840610b4d42ea2886f0837b9 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
flyteidl/service/admin.proto
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: version not set
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import r... | 32.073746 | 198 | 0.640945 |
e6b30c201641b87b58f4106f81dd0e8c7aa6cd47 | 3,981 | py | Python | examples/python/geneseq/population.py | steve-meyer/geneseq | c1b9b484e95595868536cb4c1a00f2824be3da9e | [
"MIT"
] | 5 | 2020-05-11T05:58:47.000Z | 2021-12-15T15:30:06.000Z | examples/python/geneseq/population.py | steve-meyer/geneseq | c1b9b484e95595868536cb4c1a00f2824be3da9e | [
"MIT"
] | null | null | null | examples/python/geneseq/population.py | steve-meyer/geneseq | c1b9b484e95595868536cb4c1a00f2824be3da9e | [
"MIT"
] | null | null | null | import random
import math
import copy
from collections import defaultdict
from .individual import Individual
class Population(object):
'''
Class representing a collection of individuals
'''
def __init__(self, nucleotides='012345678', target='10300050', size=128):
self.nucleotides = nucleotide... | 35.544643 | 104 | 0.64205 |
492cb7b85fbe9daded64ee5d87789cf9c9047d65 | 25,277 | py | Python | tensorflow_transform/beam/analysis_graph_builder.py | redpoint13/transform | 3cacc1e6832bd64713050287d2d5ee98c2b76753 | [
"Apache-2.0"
] | null | null | null | tensorflow_transform/beam/analysis_graph_builder.py | redpoint13/transform | 3cacc1e6832bd64713050287d2d5ee98c2b76753 | [
"Apache-2.0"
] | null | null | null | tensorflow_transform/beam/analysis_graph_builder.py | redpoint13/transform | 3cacc1e6832bd64713050287d2d5ee98c2b76753 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 39.128483 | 80 | 0.722079 |
f1a861321e440b86ff7e8617cb4ddea251cf9e70 | 11,105 | py | Python | src/oci/waas/models/create_certificate_details.py | LaudateCorpus1/oci-python-sdk | b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | src/oci/waas/models/create_certificate_details.py | LaudateCorpus1/oci-python-sdk | b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | src/oci/waas/models/create_certificate_details.py | LaudateCorpus1/oci-python-sdk | b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | # coding: utf-8
# Copyright (c) 2016, 2022, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may c... | 36.650165 | 245 | 0.682665 |
a3464df77696845b07b009c666aa3678b61f43de | 3,879 | py | Python | tests/test_view.py | Philipp-Userlike/django-pystache | c720ee7a4b01f673dd2f476dae2e0c529229efe2 | [
"MIT"
] | 2 | 2015-11-05T08:53:49.000Z | 2016-03-01T22:14:12.000Z | tests/test_view.py | kennethreitz-archive/pystache | f543efac93b753914a20b9daaf84a51382fba445 | [
"MIT"
] | null | null | null | tests/test_view.py | kennethreitz-archive/pystache | f543efac93b753914a20b9daaf84a51382fba445 | [
"MIT"
] | 1 | 2020-02-12T19:11:42.000Z | 2020-02-12T19:11:42.000Z | import unittest
import pystache
from examples.simple import Simple
from examples.complex_view import ComplexView
from examples.lambdas import Lambdas
from examples.inverted import Inverted, InvertedLists
class Thing(object):
pass
class TestView(unittest.TestCase):
def test_basic(self):
view = Simple(... | 34.327434 | 140 | 0.619232 |
2e6a1520bf8beaef0ae11a6a7bc403ce6c32f7f2 | 9,932 | py | Python | emukit/examples/preferential_batch_bayesian_optimization/pbbo/acquisitions/thompson_sampling_acquisition.py | esiivola/emukit | 638f8b27d91461e67fb07ce900addbb98ac11f9d | [
"Apache-2.0"
] | null | null | null | emukit/examples/preferential_batch_bayesian_optimization/pbbo/acquisitions/thompson_sampling_acquisition.py | esiivola/emukit | 638f8b27d91461e67fb07ce900addbb98ac11f9d | [
"Apache-2.0"
] | 1 | 2021-02-23T18:03:41.000Z | 2021-02-23T18:03:41.000Z | emukit/examples/preferential_batch_bayesian_optimization/pbbo/acquisitions/thompson_sampling_acquisition.py | esiivola/emukit | 638f8b27d91461e67fb07ce900addbb98ac11f9d | [
"Apache-2.0"
] | 1 | 2019-03-28T15:53:36.000Z | 2019-03-28T15:53:36.000Z | from .. import util
from .. import ComparisonGP, ComparisonGPEmukitWrapper
from .acquisition_function import AcquisitionFunction
import GPy
import numpy as np
import numpy.linalg as la
import scipy as sp
import collections
import time
from scipy.stats import norm, mvn, multivariate_normal
from GPy.util.univariate_Gauss... | 44.538117 | 130 | 0.597463 |
8ca1d08747c4322ac8b2a09b1798437f64abe2a5 | 5,137 | py | Python | applications/old_code/wasserschlange.py | FrederichRiver/neutrino | e91db53486e56ddeb83ae9714311d606b33fb165 | [
"BSD-3-Clause"
] | 2 | 2019-02-10T15:14:23.000Z | 2019-02-12T13:59:52.000Z | applications/old_code/wasserschlange.py | FrederichRiver/neutrino | e91db53486e56ddeb83ae9714311d606b33fb165 | [
"BSD-3-Clause"
] | null | null | null | applications/old_code/wasserschlange.py | FrederichRiver/neutrino | e91db53486e56ddeb83ae9714311d606b33fb165 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python3
import torch
import torch.nn as nn
import torch.optim as optim
from mysql.libmysql8_dev import MySQLBase
"""
1.create network
2.create training set
3.training
4.test
5.running
"""
from events import EventStockPrice
import torch.nn.functional as F
from torch.utils.data import Dataset, DataLoader
from ... | 27.324468 | 81 | 0.58614 |
a12264bb771ba28f9f3ce9fab637818ad0043b93 | 5,339 | py | Python | src/ggrc/services/attribute_query.py | j0gurt/ggrc-core | 84662dc85aa8864c907eabe70b8efccf92298a1f | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2019-01-04T10:55:14.000Z | 2019-01-04T10:55:14.000Z | src/ggrc/services/attribute_query.py | j0gurt/ggrc-core | 84662dc85aa8864c907eabe70b8efccf92298a1f | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/ggrc/services/attribute_query.py | j0gurt/ggrc-core | 84662dc85aa8864c907eabe70b8efccf92298a1f | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright (C) 2018 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
from collections import namedtuple
import datetime
import iso8601
from sqlalchemy import and_, cast
from sqlalchemy.ext.associationproxy import AssociationProxy
from sqlalchemy.orm import joinedload_all
fro... | 33.36875 | 78 | 0.654242 |
d92df0f6856de325d606c3cd98dd0a71810218cd | 25,191 | py | Python | rich/style.py | lodagro/rich | 230af6ef70b3a1404a0405b148cf5737db7ae1fb | [
"MIT"
] | 7 | 2021-09-29T09:46:36.000Z | 2022-03-24T08:30:41.000Z | rich/style.py | lodagro/rich | 230af6ef70b3a1404a0405b148cf5737db7ae1fb | [
"MIT"
] | 23 | 2021-07-05T01:25:33.000Z | 2022-03-28T01:30:36.000Z | rich/style.py | lodagro/rich | 230af6ef70b3a1404a0405b148cf5737db7ae1fb | [
"MIT"
] | 1 | 2021-09-29T22:34:05.000Z | 2021-09-29T22:34:05.000Z | import sys
from functools import lru_cache
from marshal import loads as marshal_loads, dumps as marshal_dumps
from random import randint
from time import time
from typing import Any, cast, Dict, Iterable, List, Optional, Type, Union
from . import errors
from .color import Color, ColorParseError, ColorSystem, blend_rgb... | 34.041892 | 121 | 0.543726 |
d32867cf5e82a879f412a5f309966f9b1c873a87 | 4,077 | py | Python | test/functional/feature_includeconf.py | mmontuori/quarkcoin | c4da680fd4d852e3ba835d7fd23181a8f08e47db | [
"MIT"
] | null | null | null | test/functional/feature_includeconf.py | mmontuori/quarkcoin | c4da680fd4d852e3ba835d7fd23181a8f08e47db | [
"MIT"
] | 12 | 2021-05-31T22:55:50.000Z | 2021-06-04T02:30:02.000Z | test/functional/feature_includeconf.py | mmontuori/quarkcoin | c4da680fd4d852e3ba835d7fd23181a8f08e47db | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2018 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Tests the includeconf argument
Verify that:
1. adding includeconf to the configuration file causes the inc... | 49.120482 | 224 | 0.694383 |
1bf558536c573c93963c0aa409edde4709bc3727 | 69 | py | Python | scripts/automation/trex_control_plane/astf/trex_astf_lib/api.py | alialnu/trex-core | ae4ab05a6215fd0a859adde40dac6afa8bf0f950 | [
"Apache-2.0"
] | null | null | null | scripts/automation/trex_control_plane/astf/trex_astf_lib/api.py | alialnu/trex-core | ae4ab05a6215fd0a859adde40dac6afa8bf0f950 | [
"Apache-2.0"
] | null | null | null | scripts/automation/trex_control_plane/astf/trex_astf_lib/api.py | alialnu/trex-core | ae4ab05a6215fd0a859adde40dac6afa8bf0f950 | [
"Apache-2.0"
] | null | null | null | from .trex_astf_client import *
from .trex_astf_global_info import *
| 23 | 36 | 0.826087 |
e1010315e486accba00d8bd56ad942a4515a05c1 | 437 | py | Python | grr/server/grr_response_server/databases/mysql_blob_references_test.py | khanhgithead/grr | 8ad8a4d2c5a93c92729206b7771af19d92d4f915 | [
"Apache-2.0"
] | 4,238 | 2015-01-01T15:34:50.000Z | 2022-03-31T08:18:05.000Z | grr/server/grr_response_server/databases/mysql_blob_references_test.py | khanhgithead/grr | 8ad8a4d2c5a93c92729206b7771af19d92d4f915 | [
"Apache-2.0"
] | 787 | 2015-01-02T21:34:24.000Z | 2022-03-02T13:26:38.000Z | grr/server/grr_response_server/databases/mysql_blob_references_test.py | khanhgithead/grr | 8ad8a4d2c5a93c92729206b7771af19d92d4f915 | [
"Apache-2.0"
] | 856 | 2015-01-02T02:50:11.000Z | 2022-03-31T11:11:53.000Z | #!/usr/bin/env python
from absl import app
from absl.testing import absltest
from grr_response_server.databases import db_blob_references_test
from grr_response_server.databases import mysql_test
from grr.test_lib import test_lib
class MysqlBlobReferencesTest(
db_blob_references_test.DatabaseTestBlobReferencesM... | 23 | 65 | 0.823799 |
6c5900715c89743cd0ad8c6a877a71e8974a9d42 | 1,714 | py | Python | pupa/exceptions.py | tor-councilmatic/pupa | 9b64deba55aeaf1ee40c504c972c47da70a9fd2a | [
"BSD-3-Clause"
] | null | null | null | pupa/exceptions.py | tor-councilmatic/pupa | 9b64deba55aeaf1ee40c504c972c47da70a9fd2a | [
"BSD-3-Clause"
] | null | null | null | pupa/exceptions.py | tor-councilmatic/pupa | 9b64deba55aeaf1ee40c504c972c47da70a9fd2a | [
"BSD-3-Clause"
] | null | null | null |
class PupaError(Exception):
""" Base class for exceptions from within Pupa """
class PupaInternalError(PupaError):
""" Indication something went wrong inside of Pupa that never should happen """
class DataImportError(PupaError):
""" A generic error related to the import process. """
class InvalidVot... | 34.979592 | 99 | 0.603851 |
ffe6e5f1b8a327273a4e7c5966f5c8d7c3861b85 | 260 | py | Python | z3py/examples/bit.1.py | rainoftime/rainoftime.github.io | d6316f153db0ed96309d81a5f32af9887c6f1a9a | [
"MIT"
] | 1 | 2021-08-01T07:28:03.000Z | 2021-08-01T07:28:03.000Z | z3py/examples/bit.1.py | rainoftime/rainoftime.github.io | d6316f153db0ed96309d81a5f32af9887c6f1a9a | [
"MIT"
] | null | null | null | z3py/examples/bit.1.py | rainoftime/rainoftime.github.io | d6316f153db0ed96309d81a5f32af9887c6f1a9a | [
"MIT"
] | null | null | null | x = BitVec('x', 32)
powers = [ 2**i for i in range(32) ]
fast = And(x != 0, x & (x - 1) == 0)
slow = Or([ x == p for p in powers ])
print fast
prove(fast == slow)
print "trying to prove buggy version..."
fast = x & (x - 1) == 0
prove(fast == slow)
| 23.636364 | 40 | 0.526923 |
5065124bbb922b7d2e1f9504d5b8a269a8d70a1d | 774 | py | Python | openai/api_resources/completion.py | frankcarey/openai-python | d53d9efbb93ff18443a85bea8dbae8f846bef837 | [
"MIT"
] | 1 | 2020-11-26T10:28:31.000Z | 2020-11-26T10:28:31.000Z | openai/api_resources/completion.py | frankcarey/openai-python | d53d9efbb93ff18443a85bea8dbae8f846bef837 | [
"MIT"
] | null | null | null | openai/api_resources/completion.py | frankcarey/openai-python | d53d9efbb93ff18443a85bea8dbae8f846bef837 | [
"MIT"
] | 1 | 2021-06-12T20:52:24.000Z | 2021-06-12T20:52:24.000Z | import time
from openai import util
from openai.api_resources.abstract import DeletableAPIResource, ListableAPIResource
from openai.api_resources.abstract.engine_api_resource import EngineAPIResource
from openai.error import TryAgain
class Completion(EngineAPIResource, ListableAPIResource, DeletableAPIResource):
... | 32.25 | 83 | 0.674419 |
7f7d56a076ccf5c674a5dd2710d475676bf06d94 | 977 | py | Python | var/spack/repos/builtin/packages/flashdimmsim/package.py | player1537-forks/spack | 822b7632222ec5a91dc7b7cda5fc0e08715bd47c | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 11 | 2015-10-04T02:17:46.000Z | 2018-02-07T18:23:00.000Z | var/spack/repos/builtin/packages/flashdimmsim/package.py | player1537-forks/spack | 822b7632222ec5a91dc7b7cda5fc0e08715bd47c | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 22 | 2017-08-01T22:45:10.000Z | 2022-03-10T07:46:31.000Z | var/spack/repos/builtin/packages/flashdimmsim/package.py | player1537-forks/spack | 822b7632222ec5a91dc7b7cda5fc0e08715bd47c | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 4 | 2016-06-10T17:57:39.000Z | 2018-09-11T04:59:38.000Z | # Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class Flashdimmsim(Package):
"""FlashDIMMSim: a reasonably accurate flash DIMM simulator."""
... | 31.516129 | 73 | 0.628454 |
a10026d480549337a76a326ed2639646f4444d19 | 4,335 | py | Python | filepath/filepath.py | blackvvine/file-path | 091538feb0685185e68f594562051a4775c5d266 | [
"MIT"
] | null | null | null | filepath/filepath.py | blackvvine/file-path | 091538feb0685185e68f594562051a4775c5d266 | [
"MIT"
] | null | null | null | filepath/filepath.py | blackvvine/file-path | 091538feb0685185e68f594562051a4775c5d266 | [
"MIT"
] | 1 | 2019-10-13T15:22:23.000Z | 2019-10-13T15:22:23.000Z | import datetime
import os
import random as rnd
import re
import shutil
import logging
import subprocess
from enum import Enum
class SortOrder(Enum):
"""
Different sorting orders for the LS function
"""
RANDOM = 1
ORDER = 2
DATE = 3
ALPHA = 4
class FilePath(object):
"""
Wrapper fo... | 26.595092 | 101 | 0.559862 |
16fff8920f2f45101eaff4cf96afe06e3fa0281d | 45 | py | Python | info.py | ThiagoBarsante/DataEngineer_projects | bbed3653cc8e7bf6aec096d11c78566e3a3f8a2b | [
"MIT"
] | null | null | null | info.py | ThiagoBarsante/DataEngineer_projects | bbed3653cc8e7bf6aec096d11c78566e3a3f8a2b | [
"MIT"
] | null | null | null | info.py | ThiagoBarsante/DataEngineer_projects | bbed3653cc8e7bf6aec096d11c78566e3a3f8a2b | [
"MIT"
] | null | null | null | ## This repo will use python code in general
| 22.5 | 44 | 0.755556 |
acd9c5adc0eaaaa1edd2e2c999564873b821e92d | 98,610 | py | Python | mooring/models.py | mohdbakhrayba/moorings | cb632383617c9b81b6ffa468aba8c7707195e0e3 | [
"Apache-2.0"
] | null | null | null | mooring/models.py | mohdbakhrayba/moorings | cb632383617c9b81b6ffa468aba8c7707195e0e3 | [
"Apache-2.0"
] | null | null | null | mooring/models.py | mohdbakhrayba/moorings | cb632383617c9b81b6ffa468aba8c7707195e0e3 | [
"Apache-2.0"
] | null | null | null | from __future__ import unicode_literals
import os
import uuid
import base64
import binascii
import hashlib
import calendar
from decimal import Decimal as D
from django.core.files.base import ContentFile
from django.core.exceptions import ValidationError
from django.db.models import Q
from django.contrib.gis.db import ... | 39.971625 | 245 | 0.632715 |
514a940d97bb61ed1c87a1bdfc41a67b6db56531 | 7,501 | py | Python | configs/my-dataset/crpn.py | ArthurWish/mmdetection | bd4c5b04e9d880f7a38131f17d3b43e4a3630c4f | [
"Apache-2.0"
] | null | null | null | configs/my-dataset/crpn.py | ArthurWish/mmdetection | bd4c5b04e9d880f7a38131f17d3b43e4a3630c4f | [
"Apache-2.0"
] | null | null | null | configs/my-dataset/crpn.py | ArthurWish/mmdetection | bd4c5b04e9d880f7a38131f17d3b43e4a3630c4f | [
"Apache-2.0"
] | null | null | null | _base_ = [
'../_base_/datasets/coco_with_sub_image_detection.py',
'../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
]
sub_images = [
'default.png'
# 'filled.png'
]
rpn_weight = 0.7
# use caffe img_norm
img_norm_cfg = dict(
mean=[103.530, 116.280, 123.675], std=[1.0, 1.0, 1.0], to_... | 33.044053 | 79 | 0.522064 |
2b459024eddb3b275480cfea25a8d8c0cc7d7b00 | 645 | py | Python | python/easy/1614_Maximum_Nesting_Depth_of_the_Parentheses.py | JackWang0107/leetcode | c02932190b639ef87a8d0fcd07d9cd6ec7344a67 | [
"MIT"
] | 1 | 2021-05-22T03:27:33.000Z | 2021-05-22T03:27:33.000Z | python/easy/1614_Maximum_Nesting_Depth_of_the_Parentheses.py | JackWang0107/leetcode | c02932190b639ef87a8d0fcd07d9cd6ec7344a67 | [
"MIT"
] | null | null | null | python/easy/1614_Maximum_Nesting_Depth_of_the_Parentheses.py | JackWang0107/leetcode | c02932190b639ef87a8d0fcd07d9cd6ec7344a67 | [
"MIT"
] | null | null | null | from typing import *
class Solution:
# 32 ms, faster than 54.06% of Python3 online submissions for Maximum Nesting Depth of the Parentheses.
# 14 MB, less than 90.08% of Python3 online submissions for Maximum Nesting Depth of the Parentheses.
def maxDepth(self, s: str) -> int:
max_depth = 0
... | 33.947368 | 107 | 0.553488 |
5e0c42ccf9c8160c0d747b6d1c095e22e7a16520 | 13,224 | py | Python | lemur/certificates/models.py | x-lhan/lemur | 1d8aaa4a242af610363e961167bc31691b358773 | [
"Apache-2.0"
] | null | null | null | lemur/certificates/models.py | x-lhan/lemur | 1d8aaa4a242af610363e961167bc31691b358773 | [
"Apache-2.0"
] | null | null | null | lemur/certificates/models.py | x-lhan/lemur | 1d8aaa4a242af610363e961167bc31691b358773 | [
"Apache-2.0"
] | null | null | null | """
.. module: lemur.certificates.models
:platform: Unix
:copyright: (c) 2018 by Netflix Inc., see AUTHORS for more
:license: Apache, see LICENSE for more details.
.. moduleauthor:: Kevin Glisson <kglisson@netflix.com>
"""
from datetime import timedelta
import arrow
from cryptography import x509
from crypt... | 34.891821 | 120 | 0.648215 |
8d9faed5864ee26142ae792be64f3447da0ca22c | 829 | py | Python | basic/led/led4.py | ssi5/circuitpython | 34ff0d343b8918ecfdccfd8e54c0877180ad9740 | [
"MIT"
] | null | null | null | basic/led/led4.py | ssi5/circuitpython | 34ff0d343b8918ecfdccfd8e54c0877180ad9740 | [
"MIT"
] | null | null | null | basic/led/led4.py | ssi5/circuitpython | 34ff0d343b8918ecfdccfd8e54c0877180ad9740 | [
"MIT"
] | null | null | null | import time
import board
import digitalio
led = digitalio.DigitalInOut(board.LED)
led.direction = digitalio.Direction.OUTPUT
N = 200_000
# Unroll the loop 8 times
def blink_preload_unrolled8(n):
n //= 8
on = led.value
r = range(n)
for i in r:
on = True
on = False
on = True
... | 19.738095 | 66 | 0.53076 |
5e1e6b99f36febf49eb88fd14c258e16bc5feb68 | 1,355 | py | Python | XCore/devices/Ports.py | chibill/CPU-Emulators | f79cceb75e9fe7c11238e8d091bef1cf3a8970a3 | [
"MIT"
] | null | null | null | XCore/devices/Ports.py | chibill/CPU-Emulators | f79cceb75e9fe7c11238e8d091bef1cf3a8970a3 | [
"MIT"
] | null | null | null | XCore/devices/Ports.py | chibill/CPU-Emulators | f79cceb75e9fe7c11238e8d091bef1cf3a8970a3 | [
"MIT"
] | null | null | null | import pygame
from PIL import Image
import time
import MotherBoard.util as util
from threading import Thread
buffer = Image.new("RGB",(16,16),"black")
running = True
ports = {0:0, 1:0, 2:0, 3:0, 4:0, 5:0, 6:0, 7:0, 8:0, 9:0, 10:0, 11:0, 12:0, 13:0, 14:0, 15:0}
def screen():
global buffer
global running
py... | 26.568627 | 94 | 0.55572 |
72ce07f1887aa6f17794a5c9f8016594e9fd50de | 8,919 | py | Python | var/spack/repos/builtin/packages/hydrogen/package.py | emai-imcs/spack | 0dbb90b565456a8a236728f304d9faeca609fc91 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | null | null | null | var/spack/repos/builtin/packages/hydrogen/package.py | emai-imcs/spack | 0dbb90b565456a8a236728f304d9faeca609fc91 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 6 | 2020-10-15T15:32:55.000Z | 2022-03-30T12:30:28.000Z | var/spack/repos/builtin/packages/hydrogen/package.py | emai-imcs/spack | 0dbb90b565456a8a236728f304d9faeca609fc91 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2 | 2021-04-07T18:27:09.000Z | 2022-03-31T22:52:38.000Z | # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
import os
from spack import *
class Hydrogen(CMakePackage, CudaPackage):
"""Hydrogen: Distributed-memory dense and s... | 44.373134 | 97 | 0.642337 |
09249f57e05dec29b7e0fe738b0fb876b7485f1e | 5,079 | py | Python | code/python/SPAREngine/v3/fds/sdk/SPAREngine/exceptions.py | factset/enterprise-sdk | 3fd4d1360756c515c9737a0c9a992c7451d7de7e | [
"Apache-2.0"
] | 6 | 2022-02-07T16:34:18.000Z | 2022-03-30T08:04:57.000Z | code/python/SPAREngine/v3/fds/sdk/SPAREngine/exceptions.py | factset/enterprise-sdk | 3fd4d1360756c515c9737a0c9a992c7451d7de7e | [
"Apache-2.0"
] | 2 | 2022-02-07T05:25:57.000Z | 2022-03-07T14:18:04.000Z | code/python/SPAREngine/v3/fds/sdk/SPAREngine/exceptions.py | factset/enterprise-sdk | 3fd4d1360756c515c9737a0c9a992c7451d7de7e | [
"Apache-2.0"
] | null | null | null | """
SPAR Engine API
Allow clients to fetch Analytics through APIs. # noqa: E501
The version of the OpenAPI document: 3
Contact: analytics.api.support@factset.com
Generated by: https://openapi-generator.tech
"""
class OpenApiException(Exception):
"""The base exception class for all OpenAPIE... | 31.546584 | 78 | 0.601693 |
845b6e923b337bdb29e757ff122a1ace9d183837 | 6,818 | py | Python | neuro-sdk/src/neuro_sdk/_bucket_base.py | neuro-inc/neuro-cli | 72bd2a825cc319bbc79c6df16f33380796fad4f5 | [
"Apache-2.0"
] | 5 | 2019-09-24T15:37:47.000Z | 2020-08-04T09:25:29.000Z | neuro-sdk/src/neuro_sdk/_bucket_base.py | neuromation/platform-client-python | 72bd2a825cc319bbc79c6df16f33380796fad4f5 | [
"Apache-2.0"
] | 748 | 2019-08-05T14:57:11.000Z | 2020-09-28T09:54:41.000Z | neuro-sdk/src/neuro_sdk/_bucket_base.py | neuro-inc/neuro-cli | 72bd2a825cc319bbc79c6df16f33380796fad4f5 | [
"Apache-2.0"
] | 3 | 2019-10-07T19:25:22.000Z | 2020-06-29T01:41:26.000Z | import abc
import enum
import time
from contextlib import asynccontextmanager
from dataclasses import dataclass
from datetime import datetime
from pathlib import PurePosixPath
from typing import (
Any,
AsyncIterator,
Awaitable,
Callable,
List,
Mapping,
Optional,
Tuple,
Union,
)
from... | 26.324324 | 81 | 0.613083 |
d0c633f50b464b8e08988638cf34cd0815c70e55 | 1,142 | py | Python | chunkymonkey/lib/base.py | shopzilla/chunky-monkey | 2556055e87849e2a873a950a5e52429e516c8304 | [
"Apache-2.0"
] | 1 | 2016-10-24T15:16:26.000Z | 2016-10-24T15:16:26.000Z | chunkymonkey/lib/base.py | shopzilla/chunky-monkey | 2556055e87849e2a873a950a5e52429e516c8304 | [
"Apache-2.0"
] | null | null | null | chunkymonkey/lib/base.py | shopzilla/chunky-monkey | 2556055e87849e2a873a950a5e52429e516c8304 | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2011 Shopzilla.com
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this 1 except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing... | 36.83871 | 74 | 0.75394 |
8792ac137781d1447521a8312b884494f92a5667 | 483 | py | Python | applications/weixin/urls.py | chenchiyuan/gym | a466111ee69f20ac001678c84868c0bf61b468fe | [
"BSD-3-Clause"
] | null | null | null | applications/weixin/urls.py | chenchiyuan/gym | a466111ee69f20ac001678c84868c0bf61b468fe | [
"BSD-3-Clause"
] | null | null | null | applications/weixin/urls.py | chenchiyuan/gym | a466111ee69f20ac001678c84868c0bf61b468fe | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# __author__ = chenchiyuan
from __future__ import division, unicode_literals, print_function
from django.conf.urls import patterns, url
from applications.weixin import const
from applications.weixin.views import WeiXinResponseView, WeiXinDetailView
urlpatterns = patterns('',
url(r'^callbac... | 37.153846 | 94 | 0.766046 |
e05cb8963d92b8b559aba302d456a7db8612c8de | 9,874 | py | Python | process/process_coverage3_mix.py | ISE-DeepLearning/CoverageDNN | a3674caadb545e40641608874714f03fbcf74eed | [
"MIT"
] | null | null | null | process/process_coverage3_mix.py | ISE-DeepLearning/CoverageDNN | a3674caadb545e40641608874714f03fbcf74eed | [
"MIT"
] | null | null | null | process/process_coverage3_mix.py | ISE-DeepLearning/CoverageDNN | a3674caadb545e40641608874714f03fbcf74eed | [
"MIT"
] | null | null | null | import os
import numpy as np
import data_provider
import gc
import time
from itertools import combinations, permutations
'''
本脚本是將样本的激活数据的边覆盖情况具现化保存
数据结构边写边考虑
'''
'''
目前只考虑1-1的三种情况的覆盖
写尽可能考虑可拓展性
'''
batch_size = 30000
def check_dir(dir_path):
if not os.path.exists(dir_path):
os.makedirs(dir_path)
def... | 42.560345 | 121 | 0.503342 |
f72de0ea6a751f43e43a7090b6c6bc5b3a4e04ab | 19,297 | py | Python | da/compiler/ui.py | edgarsit/distalgo | 87a53b537c2ae9d974fb2f5f7ba95eaa92a9806e | [
"MIT"
] | 76 | 2015-05-27T01:22:38.000Z | 2022-02-28T18:38:55.000Z | da/compiler/ui.py | edgarsit/distalgo | 87a53b537c2ae9d974fb2f5f7ba95eaa92a9806e | [
"MIT"
] | 32 | 2015-09-19T01:37:36.000Z | 2021-02-17T03:04:56.000Z | da/compiler/ui.py | edgarsit/distalgo | 87a53b537c2ae9d974fb2f5f7ba95eaa92a9806e | [
"MIT"
] | 55 | 2015-08-10T01:42:16.000Z | 2021-11-15T10:37:32.000Z | # Copyright (c) 2010-2017 Bo Lin
# Copyright (c) 2010-2017 Yanhong Annie Liu
# Copyright (c) 2010-2017 Stony Brook University
# Copyright (c) 2010-2017 The Research Foundation of SUNY
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation files
#... | 40.202083 | 84 | 0.630513 |
b95c45392bfb551f52bc8b8dca1aaf8c8b1940b1 | 12,085 | py | Python | timm/utils/model.py | xuritian317/pytorch-image-models | 034139e4871cddd0f6c24931b6ac380ba9f28711 | [
"Apache-2.0"
] | 5 | 2022-03-03T00:42:03.000Z | 2022-03-25T04:29:56.000Z | timm/utils/model.py | xuritian317/pytorch-image-models | 034139e4871cddd0f6c24931b6ac380ba9f28711 | [
"Apache-2.0"
] | null | null | null | timm/utils/model.py | xuritian317/pytorch-image-models | 034139e4871cddd0f6c24931b6ac380ba9f28711 | [
"Apache-2.0"
] | 2 | 2021-03-19T00:41:43.000Z | 2021-05-16T10:34:23.000Z | """ Model / state_dict utils
Hacked together by / Copyright 2020 Ross Wightman
"""
import fnmatch
import torch
from torchvision.ops.misc import FrozenBatchNorm2d
from .model_ema import ModelEma
def unwrap_model(model):
if isinstance(model, ModelEma):
return unwrap_model(model.ema)
else:
ret... | 44.105839 | 131 | 0.675134 |
20d3cbd11821632635531d1ac8fe238d37620d5f | 29,567 | py | Python | tests/test_data/test_pipelines/test_transform/test_transform.py | tycoer/rfvision-1 | db6e28746d8251d1f394544c32b9e0af388d9964 | [
"Apache-2.0"
] | 6 | 2021-09-25T03:53:06.000Z | 2022-02-19T03:25:11.000Z | tests/test_data/test_pipelines/test_transform/test_transform.py | tycoer/rfvision-1 | db6e28746d8251d1f394544c32b9e0af388d9964 | [
"Apache-2.0"
] | 1 | 2021-07-21T13:14:54.000Z | 2021-07-21T13:14:54.000Z | tests/test_data/test_pipelines/test_transform/test_transform.py | tycoer/rfvision-1 | db6e28746d8251d1f394544c32b9e0af388d9964 | [
"Apache-2.0"
] | 2 | 2021-07-16T03:25:04.000Z | 2021-11-22T06:04:01.000Z | import copy
import os.path as osp
import rflib
import numpy as np
import pytest
import torch
from rflib.utils import build_from_cfg
from rfvision.core.evaluation.bbox_overlaps import bbox_overlaps
from rfvision.datasets.builder import PIPELINES
def test_resize():
# test assertion if img_scale is a list
with... | 37.284994 | 79 | 0.633781 |
67cd1bac81a715e4d03ac21f33aa478a59c9f60d | 672 | py | Python | manage.py | yashpatel7025/django-eSamudaay | fafed560dd12f10d728c6b5a152ac17d6ed462aa | [
"MIT"
] | null | null | null | manage.py | yashpatel7025/django-eSamudaay | fafed560dd12f10d728c6b5a152ac17d6ed462aa | [
"MIT"
] | null | null | null | manage.py | yashpatel7025/django-eSamudaay | fafed560dd12f10d728c6b5a152ac17d6ed462aa | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
"""Run administrative tasks."""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'django_eSamudaay.settings')
try:
from django.core.management import execute_from_command_line
ex... | 29.217391 | 80 | 0.683036 |
f9c2ff9382a9ef5b37cb88dc1ac4ecec2a3f9e87 | 5,448 | py | Python | psq/queue.py | mindius/psq | a182a6b751c29dc93b9a13c340b1deed145e3890 | [
"Apache-2.0"
] | 1 | 2021-02-09T09:36:55.000Z | 2021-02-09T09:36:55.000Z | psq/queue.py | mindius/psq | a182a6b751c29dc93b9a13c340b1deed145e3890 | [
"Apache-2.0"
] | null | null | null | psq/queue.py | mindius/psq | a182a6b751c29dc93b9a13c340b1deed145e3890 | [
"Apache-2.0"
] | null | null | null | # Copyright 2015 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 33.423313 | 85 | 0.659141 |
ebd335e4211be02ad9e60061cfa1d992a9ce8f5d | 3,338 | py | Python | cons3rt/models/basic_appliance.py | cons3rt/cons3rt-python-sdk | f0bcb295735ac55bbe47448fcbd95d2c7beb3ec0 | [
"RSA-MD"
] | null | null | null | cons3rt/models/basic_appliance.py | cons3rt/cons3rt-python-sdk | f0bcb295735ac55bbe47448fcbd95d2c7beb3ec0 | [
"RSA-MD"
] | null | null | null | cons3rt/models/basic_appliance.py | cons3rt/cons3rt-python-sdk | f0bcb295735ac55bbe47448fcbd95d2c7beb3ec0 | [
"RSA-MD"
] | null | null | null | """
Copyright 2020 Jackpine Technologies Corporation
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 ... | 30.623853 | 75 | 0.617436 |
bf083a62d9474644eaf13b388ff213aa39a3015e | 3,208 | py | Python | supermariopy/test/test_denseposelib.py | theRealSuperMario/supermariopy | 9fff8275278ff26caff50da86109c25d276bb30b | [
"MIT"
] | 36 | 2019-07-14T16:10:37.000Z | 2022-03-29T10:11:03.000Z | supermariopy/test/test_denseposelib.py | theRealSuperMario/supermariopy | 9fff8275278ff26caff50da86109c25d276bb30b | [
"MIT"
] | 3 | 2019-10-09T15:11:13.000Z | 2021-07-31T02:17:43.000Z | supermariopy/test/test_denseposelib.py | theRealSuperMario/supermariopy | 9fff8275278ff26caff50da86109c25d276bb30b | [
"MIT"
] | 14 | 2019-08-29T14:11:54.000Z | 2022-03-06T13:41:56.000Z | import numpy as np
import pytest
class Test_denseposelib:
@pytest.mark.parametrize(
"in_shape,out_shape", [((256, 256), (128, 128)), ((3, 256, 256), (3, 128, 128))]
)
def test_resize_labels(self, in_shape, out_shape):
from supermariopy.denseposelib import resize_labels
labels = np... | 32.734694 | 88 | 0.562344 |
f63391f905a36ca40fc54d960ac4730a2138ad27 | 699 | py | Python | evaluation.py | yatharthk2/Inpainting | ad058e8e409988d2e68bb75b0eb366f0f218d1b6 | [
"MIT"
] | 1 | 2021-08-08T03:28:57.000Z | 2021-08-08T03:28:57.000Z | evaluation.py | yatharthk2/Inpainting | ad058e8e409988d2e68bb75b0eb366f0f218d1b6 | [
"MIT"
] | null | null | null | evaluation.py | yatharthk2/Inpainting | ad058e8e409988d2e68bb75b0eb366f0f218d1b6 | [
"MIT"
] | 1 | 2021-06-26T11:06:20.000Z | 2021-06-26T11:06:20.000Z | import torch
from torchvision.utils import make_grid
from torchvision.utils import save_image
from util.image import unnormalize
def evaluate(model, dataset, device, filename):
image, mask, gt = zip(*[dataset[i] for i in range(1)])
image = torch.stack(image)
mask = torch.stack(mask)
gt = torch.stack(... | 31.772727 | 70 | 0.666667 |
39a94069600698fc39bfdbce3de4a3cc80fb7445 | 93 | py | Python | type_assist/data_preprocess.py | eric-yates/TypeAssist | 064211067c0ae3c57e2dce3a66a27750f7c66ad6 | [
"Apache-2.0"
] | 1 | 2020-08-15T07:25:54.000Z | 2020-08-15T07:25:54.000Z | type_assist/data_preprocess.py | eric-yates/TypeAssist | 064211067c0ae3c57e2dce3a66a27750f7c66ad6 | [
"Apache-2.0"
] | null | null | null | type_assist/data_preprocess.py | eric-yates/TypeAssist | 064211067c0ae3c57e2dce3a66a27750f7c66ad6 | [
"Apache-2.0"
] | null | null | null | class Formatter:
""" Formats data """
class Preprocess:
""" Preprocesses data """
| 11.625 | 29 | 0.602151 |
093ea58c46767cc2fb49130e33b5ec5eae6fd417 | 363 | py | Python | demo1.py | tugrabatin/Pandas | d6330ae97aa9f1755cdcbcd7f8e33a7dc59118df | [
"MIT"
] | null | null | null | demo1.py | tugrabatin/Pandas | d6330ae97aa9f1755cdcbcd7f8e33a7dc59118df | [
"MIT"
] | null | null | null | demo1.py | tugrabatin/Pandas | d6330ae97aa9f1755cdcbcd7f8e33a7dc59118df | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import pandas as pd
notlar = pd.read_csv("grades.csv")
notlar.columns = ["İsim","Soyisim","SSN"
,"Test1","Test2","Test3","Test4"
,"Final","Sonuc"]
print(notlar)
print(type(notlar))
print(notlar.head())
print(notlar.tail())
print(notlar["Final"])
... | 24.2 | 51 | 0.578512 |
4a3527b791d3e3a1fe7f887bd4ddc703134e4030 | 27,052 | py | Python | sdk/network/azure-mgmt-network/azure/mgmt/network/v2020_03_01/operations/_route_filters_operations.py | beltr0n/azure-sdk-for-python | 2f7fb8bee881b0fc0386a0ad5385755ceedd0453 | [
"MIT"
] | 2 | 2021-03-24T06:26:11.000Z | 2021-04-18T15:55:59.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2020_03_01/operations/_route_filters_operations.py | beltr0n/azure-sdk-for-python | 2f7fb8bee881b0fc0386a0ad5385755ceedd0453 | [
"MIT"
] | 4 | 2019-04-17T17:57:49.000Z | 2020-04-24T21:11:22.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2020_03_01/operations/_route_filters_operations.py | beltr0n/azure-sdk-for-python | 2f7fb8bee881b0fc0386a0ad5385755ceedd0453 | [
"MIT"
] | 2 | 2021-05-23T16:46:31.000Z | 2021-05-26T23:51:09.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 48.39356 | 193 | 0.659803 |
95d999db0e820ed503ce404cd5d34e1592bc10ab | 314,933 | py | Python | src/sage/combinat/permutation.py | hsm207/sage | 020bd59ec28717bfab9af44d2231c53da1ff99f1 | [
"BSL-1.0"
] | 1 | 2021-10-18T01:24:04.000Z | 2021-10-18T01:24:04.000Z | src/sage/combinat/permutation.py | hsm207/sage | 020bd59ec28717bfab9af44d2231c53da1ff99f1 | [
"BSL-1.0"
] | null | null | null | src/sage/combinat/permutation.py | hsm207/sage | 020bd59ec28717bfab9af44d2231c53da1ff99f1 | [
"BSL-1.0"
] | null | null | null | # -*- coding: utf-8 -*-
r"""
Permutations
The Permutations module. Use ``Permutation?`` to get information about
the Permutation class, and ``Permutations?`` to get information about
the combinatorial class of permutations.
.. WARNING::
This file defined :class:`Permutation` which depends upon
:class:`Combinat... | 34.14278 | 214 | 0.528255 |
fd1cec19ef73e316e39986e0a9ef8326f87381dd | 2,716 | py | Python | mmtbx/ions/tst_pickle.py | dperl-sol/cctbx_project | b9e390221a2bc4fd00b9122e97c3b79c632c6664 | [
"BSD-3-Clause-LBNL"
] | 155 | 2016-11-23T12:52:16.000Z | 2022-03-31T15:35:44.000Z | mmtbx/ions/tst_pickle.py | dperl-sol/cctbx_project | b9e390221a2bc4fd00b9122e97c3b79c632c6664 | [
"BSD-3-Clause-LBNL"
] | 590 | 2016-12-10T11:31:18.000Z | 2022-03-30T23:10:09.000Z | mmtbx/ions/tst_pickle.py | dperl-sol/cctbx_project | b9e390221a2bc4fd00b9122e97c3b79c632c6664 | [
"BSD-3-Clause-LBNL"
] | 115 | 2016-11-15T08:17:28.000Z | 2022-02-09T15:30:14.000Z | # -*- coding: utf-8; py-indent-offset: 2 -*-
from __future__ import absolute_import, division, print_function
import os
from pickle import loads, dumps
from types import MethodType
import libtbx
from mmtbx.command_line.water_screen import master_phil
import mmtbx.command_line
from mmtbx import ions
from mmtbx.ions ... | 28.893617 | 80 | 0.710604 |
a884fcc7f84066141cacf22536c112509846a5cd | 3,564 | py | Python | submodules/TIMER/submodules/TEX/software/swreg2tex.py | microSharjeel/KNN_SORTING | d4eed5c24c3d687494c091e4546c0a02316509f8 | [
"MIT"
] | 1 | 2021-06-28T20:10:36.000Z | 2021-06-28T20:10:36.000Z | submodules/TIMER/submodules/TEX/software/swreg2tex.py | microSharjeel/KNN_Final | d20fcb21a36794a58b2227d78873a5745a1dbfba | [
"MIT"
] | null | null | null | submodules/TIMER/submodules/TEX/software/swreg2tex.py | microSharjeel/KNN_Final | d20fcb21a36794a58b2227d78873a5745a1dbfba | [
"MIT"
] | 1 | 2021-06-28T20:10:38.000Z | 2021-06-28T20:10:38.000Z | #!/usr/bin/python2.7
#
# Build Latex tables of verilog module interface signals and registers
#
import sys
import os.path
import re
import string
import math
from vhparser import header_parse
def write_table(outfile, program):
#write output file
fout = open (outfile, 'w')
for i in range(len(program)):... | 30.461538 | 94 | 0.523288 |
896d1718a056ae2bff60963613410d54208cc5bc | 6,255 | py | Python | sdk/python/pulumi_azure/signalr/get_service.py | davidobrien1985/pulumi-azure | 811beeea473bd798d77354521266a87a2fac5888 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure/signalr/get_service.py | davidobrien1985/pulumi-azure | 811beeea473bd798d77354521266a87a2fac5888 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure/signalr/get_service.py | davidobrien1985/pulumi-azure | 811beeea473bd798d77354521266a87a2fac5888 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from .. import utilities, tables
class GetSer... | 44.361702 | 285 | 0.678657 |
a43ccf22f36867cd6c20eb276338d68d169a1a0b | 7,294 | py | Python | scripts/python/set_data_switch_config.py | rbrud/power-up | c0d59a79ad9c713d94da73395a5fd768fcfff838 | [
"Apache-2.0"
] | null | null | null | scripts/python/set_data_switch_config.py | rbrud/power-up | c0d59a79ad9c713d94da73395a5fd768fcfff838 | [
"Apache-2.0"
] | null | null | null | scripts/python/set_data_switch_config.py | rbrud/power-up | c0d59a79ad9c713d94da73395a5fd768fcfff838 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright 2017 IBM Corp.
#
# 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 require... | 41.91954 | 104 | 0.589526 |
4e93ba4654ebebce2d977b5b2c786cc8ee4927f2 | 792 | py | Python | send_mail.py | wcolts2000/flask-form | 875ae581965c5277c121dc401ae536e844acae26 | [
"MIT"
] | null | null | null | send_mail.py | wcolts2000/flask-form | 875ae581965c5277c121dc401ae536e844acae26 | [
"MIT"
] | null | null | null | send_mail.py | wcolts2000/flask-form | 875ae581965c5277c121dc401ae536e844acae26 | [
"MIT"
] | null | null | null | import smtplib
from email.mime.text import MIMEText
def send_mail(customer, dealer, rating, comments):
port = 2525
smtp_server = 'smtp.mailtrap.io'
login = '<login_here>'
password = '<password_here>'
message = f"<h3>New Feedback Submission</h3><ul><li>Customer: {customer}</li><li>Dealer: {dealer}<... | 36 | 166 | 0.676768 |
3dee0900962103408a6034a2f6805083ca0b012f | 12,250 | py | Python | recipes/LibriSpeech/librispeech_prepare.py | sunwell1994/speechbrain | dc7a2deaa4113749153c1a967b95aea260d68094 | [
"Apache-2.0"
] | 1 | 2021-09-07T02:08:49.000Z | 2021-09-07T02:08:49.000Z | recipes/LibriSpeech/librispeech_prepare.py | sunwell1994/speechbrain | dc7a2deaa4113749153c1a967b95aea260d68094 | [
"Apache-2.0"
] | 1 | 2021-06-02T17:07:25.000Z | 2021-06-17T16:50:31.000Z | recipes/LibriSpeech/librispeech_prepare.py | sunwell1994/speechbrain | dc7a2deaa4113749153c1a967b95aea260d68094 | [
"Apache-2.0"
] | 1 | 2021-06-21T02:16:04.000Z | 2021-06-21T02:16:04.000Z | """
Data preparation.
Download: http://www.openslr.org/12
Author
------
Mirco Ravanelli, Ju-Chieh Chou, Loren Lugosch 2020
"""
import os
import csv
import random
from collections import Counter
import logging
import torchaudio
from speechbrain.utils.data_utils import download_file, get_all_files
from speechbrain.dat... | 28.755869 | 80 | 0.625388 |
ad59bc15df66a5d6f6a17682c953d0484283946e | 45 | py | Python | catkin_ws/src/00-infrastructure/duckieteam/include/duckieteam/__init__.py | yxiao1996/dev | e2181233aaa3d16c472b792b58fc4863983825bd | [
"CC-BY-2.0"
] | 2 | 2018-06-25T02:51:25.000Z | 2018-06-25T02:51:27.000Z | catkin_ws/src/00-infrastructure/duckieteam/include/duckieteam/__init__.py | yxiao1996/dev | e2181233aaa3d16c472b792b58fc4863983825bd | [
"CC-BY-2.0"
] | null | null | null | catkin_ws/src/00-infrastructure/duckieteam/include/duckieteam/__init__.py | yxiao1996/dev | e2181233aaa3d16c472b792b58fc4863983825bd | [
"CC-BY-2.0"
] | 2 | 2018-09-04T06:44:21.000Z | 2018-10-15T02:30:50.000Z | from .persons import *
from .robots import *
| 15 | 22 | 0.733333 |
c2e2718aa4aa0ddf075624c50208cf1a4519b685 | 1,372 | py | Python | emailbomb.py | cimplesid/GMAIL-YAHOO-BOMBBER | 0f85567237c6118ccfc1c3db79a23c016f1480cd | [
"MIT"
] | 1 | 2019-03-05T14:46:30.000Z | 2019-03-05T14:46:30.000Z | emailbomb.py | cimplesid/GMAIL-YAHOO-BOMBBER | 0f85567237c6118ccfc1c3db79a23c016f1480cd | [
"MIT"
] | null | null | null | emailbomb.py | cimplesid/GMAIL-YAHOO-BOMBBER | 0f85567237c6118ccfc1c3db79a23c016f1480cd | [
"MIT"
] | 1 | 2019-04-17T08:22:25.000Z | 2019-04-17T08:22:25.000Z | #!/usr/bin/python
# pip install pyfiglet
import smtplib
import getpass
import sys
import pyfiglet
import os
_banner = pyfiglet.figlet_format("EMAIL BOMBER ")
print(_banner)
print'\nV1.0 bY SIDTUBE '
server = raw_input ('Server Gmail/Yahoo: ')
user = raw_input('Your Email: ')
passwd = getpass.getpass('... | 24.5 | 70 | 0.608601 |
844c2b6ee3b9a60233e09ea3ff8384ef2d5c82df | 3,700 | py | Python | src/Utils/UI.py | begbaj/progetto-ing-sw | eb2e0218b78d1dd817e588dd803cf54bc8f56342 | [
"MIT"
] | null | null | null | src/Utils/UI.py | begbaj/progetto-ing-sw | eb2e0218b78d1dd817e588dd803cf54bc8f56342 | [
"MIT"
] | 1 | 2021-05-23T22:39:16.000Z | 2021-05-23T22:39:16.000Z | src/Utils/UI.py | begbaj/babelib | eb2e0218b78d1dd817e588dd803cf54bc8f56342 | [
"MIT"
] | 1 | 2021-03-23T15:26:57.000Z | 2021-03-23T15:26:57.000Z | from PyQt5.QtCore import Qt
from PyQt5.QtGui import QStandardItemModel
from PyQt5.QtWidgets import *
from PyQt5.QtWidgets import QComboBox
from PyQt5.uic import loadUi
class ErrorMessage(QDialog):
def __init__(self, text, buttons=QDialogButtonBox.Ok):
super(ErrorMessage, self).__init__()
loadUi(".... | 31.355932 | 88 | 0.65 |
976161e54fe3db4a75a2599adb240e50fcb34ba4 | 9,681 | py | Python | pycoin/key/BIP32Node.py | genitrust/pycoin | b0daefdd69fa0400cc48ae16f923f03d366db7b4 | [
"MIT"
] | null | null | null | pycoin/key/BIP32Node.py | genitrust/pycoin | b0daefdd69fa0400cc48ae16f923f03d366db7b4 | [
"MIT"
] | null | null | null | pycoin/key/BIP32Node.py | genitrust/pycoin | b0daefdd69fa0400cc48ae16f923f03d366db7b4 | [
"MIT"
] | null | null | null | """
A BIP0032-style hierarchical wallet.
Implement a BIP0032-style hierarchical wallet which can create public
or private wallet keys. Each key can create many child nodes. Each node
has a wallet key and a corresponding private & public key, which can
be used to generate Bitcoin addresses or WIF private keys.
At any ... | 40.170124 | 110 | 0.673381 |
ac1f70ce350b4961bf9524f0f8070fad8b019161 | 268 | py | Python | examples/residplot.py | yarikoptic/seaborn | ed4baa32267cc4a44abb40dc243ae75a1d180e85 | [
"MIT",
"BSD-3-Clause"
] | 3 | 2016-01-25T16:54:25.000Z | 2020-05-01T15:15:30.000Z | examples/residplot.py | PureW/seaborn | f400d86002c6d4b2d67eb9740adad908e84f8328 | [
"MIT",
"BSD-3-Clause"
] | 1 | 2021-06-23T16:40:53.000Z | 2021-06-23T16:40:53.000Z | examples/residplot.py | PureW/seaborn | f400d86002c6d4b2d67eb9740adad908e84f8328 | [
"MIT",
"BSD-3-Clause"
] | 2 | 2019-04-02T19:52:25.000Z | 2021-07-06T21:17:27.000Z | """
Plotting model residuals
========================
"""
import numpy as np
import seaborn as sns
sns.set(style="whitegrid")
rs = np.random.RandomState(7)
x = rs.normal(2, 1, 75)
y = 2 + 1.5 * x + rs.normal(0, 2, 75)
sns.residplot(x, y, lowess=True, color="navy")
| 17.866667 | 46 | 0.597015 |
d2fc8d6219b15dc7e6bb43162555d68bd3369b5e | 1,319 | py | Python | src/unicon/plugins/iosxr/spitfire/patterns.py | nielsvanhooy/unicon.plugins | 3416fd8223f070cbb67a2cbe604e3c5d13584318 | [
"Apache-2.0"
] | 18 | 2019-11-23T23:14:53.000Z | 2022-01-10T01:17:08.000Z | src/unicon/plugins/iosxr/spitfire/patterns.py | nielsvanhooy/unicon.plugins | 3416fd8223f070cbb67a2cbe604e3c5d13584318 | [
"Apache-2.0"
] | 12 | 2020-11-09T20:39:25.000Z | 2022-03-22T12:46:59.000Z | src/unicon/plugins/iosxr/spitfire/patterns.py | nielsvanhooy/unicon.plugins | 3416fd8223f070cbb67a2cbe604e3c5d13584318 | [
"Apache-2.0"
] | 32 | 2020-02-12T15:42:22.000Z | 2022-03-15T16:42:10.000Z | __author__ = "Sritej K V R <skanakad@cisco.com>"
from unicon.plugins.iosxr.patterns import IOSXRPatterns
class SpitfirePatterns(IOSXRPatterns):
def __init__(self):
super().__init__()
# Always have the first match group (.*?) as this is the data
# returned as the cli output .
self.e... | 38.794118 | 88 | 0.482183 |
6328cfd2a5f747595ed6791d0c2146d8b566cacf | 662 | py | Python | manage.py | renmarin/survey | 34bb773798f8eb048225677e630f961379bdd160 | [
"MIT"
] | null | null | null | manage.py | renmarin/survey | 34bb773798f8eb048225677e630f961379bdd160 | [
"MIT"
] | null | null | null | manage.py | renmarin/survey | 34bb773798f8eb048225677e630f961379bdd160 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
"""Run administrative tasks."""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'survey.settings')
try:
from django.core.management import execute_from_command_line
except Impor... | 28.782609 | 73 | 0.678248 |
a27f3442eb36f824573516648ca691491eba3b5c | 37,311 | py | Python | networking_ovn/tests/functional/octavia/test_ovn_driver.py | numansiddique/networking-ovn | 9357ddcb6c427486e6a1b3f012f87b9c4fab43a2 | [
"Apache-2.0"
] | null | null | null | networking_ovn/tests/functional/octavia/test_ovn_driver.py | numansiddique/networking-ovn | 9357ddcb6c427486e6a1b3f012f87b9c4fab43a2 | [
"Apache-2.0"
] | null | null | null | networking_ovn/tests/functional/octavia/test_ovn_driver.py | numansiddique/networking-ovn | 9357ddcb6c427486e6a1b3f012f87b9c4fab43a2 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 Red Hat, Inc.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | 44.791116 | 79 | 0.589826 |
8a810b935a3b9459614ccf0dd59bca151b02d555 | 3,385 | py | Python | FileOperations.py | AndrewPiroli/NOS-MCT | 539bd51825aee8ac05fdcb2fef8ea1e9f9e765b5 | [
"MIT"
] | null | null | null | FileOperations.py | AndrewPiroli/NOS-MCT | 539bd51825aee8ac05fdcb2fef8ea1e9f9e765b5 | [
"MIT"
] | 2 | 2020-11-29T23:46:06.000Z | 2020-11-29T23:51:54.000Z | FileOperations.py | AndrewPiroli/NOS-MCT | 539bd51825aee8ac05fdcb2fef8ea1e9f9e765b5 | [
"MIT"
] | null | null | null | import pathlib
from typing import Iterator, List, Union
import os
import csv
import shutil
from queue import Empty as QEmptyException
import constants
from multiprocessing import Queue
# These characters/strings are illegal or their usage is discouraged on Windows, but could appear in a command name or device hostname... | 35.260417 | 135 | 0.653767 |
9068086904eb2438527b3719104f30794976edd0 | 2,813 | py | Python | L1Trigger/CSCTriggerPrimitives/test/CSCTriggerPrimitivesProducerTest_cfg.py | SWuchterl/cmssw | 769b4a7ef81796579af7d626da6039dfa0347b8e | [
"Apache-2.0"
] | 6 | 2017-09-08T14:12:56.000Z | 2022-03-09T23:57:01.000Z | L1Trigger/CSCTriggerPrimitives/test/CSCTriggerPrimitivesProducerTest_cfg.py | SWuchterl/cmssw | 769b4a7ef81796579af7d626da6039dfa0347b8e | [
"Apache-2.0"
] | 545 | 2017-09-19T17:10:19.000Z | 2022-03-07T16:55:27.000Z | L1Trigger/CSCTriggerPrimitives/test/CSCTriggerPrimitivesProducerTest_cfg.py | SWuchterl/cmssw | 769b4a7ef81796579af7d626da6039dfa0347b8e | [
"Apache-2.0"
] | 14 | 2017-10-04T09:47:21.000Z | 2019-10-23T18:04:45.000Z | # Configuration file for CSCTriggerPrimitives building.
# Slava Valuev May-2006.
import FWCore.ParameterSet.Config as cms
from Configuration.Eras.Era_Run2_2018_cff import Run2_2018
process = cms.Process("MuonCSCTriggerPrimitives", Run2_2018)
process.source = cms.Source("PoolSource",
fileNames = cms.untracked.vst... | 36.064103 | 90 | 0.691077 |
6d983bffa6b94307153007983e5eb83fdbc9ddf0 | 2,351 | py | Python | backend/app/core/authentication/authentication.py | Hawangledt/template-projeto-selecao-back | 2c90236ebac48c7018b8a36562aec1eb3b200825 | [
"MIT"
] | null | null | null | backend/app/core/authentication/authentication.py | Hawangledt/template-projeto-selecao-back | 2c90236ebac48c7018b8a36562aec1eb3b200825 | [
"MIT"
] | null | null | null | backend/app/core/authentication/authentication.py | Hawangledt/template-projeto-selecao-back | 2c90236ebac48c7018b8a36562aec1eb3b200825 | [
"MIT"
] | null | null | null | import json
import requests
import os
from fastapi import Security, HTTPException, status
from fastapi.security.api_key import APIKeyHeader
from functools import wraps
from jose import jwt
AUTH0_DOMAIN = os.getenv("AUTH0_DOMAIN", "Auth0 Domain undefined")
API_AUDIENCE = os.getenv("API_AUDIENCE", "Auth0 Api audience un... | 37.31746 | 73 | 0.574224 |
50dcd7d83e7be2bcee5b5f35f7fe2c6cabbb5d1b | 1,454 | py | Python | train_quality_network.py | Phoenix-Chen/butterflies | 06abf393c69f7a7c54d4e8a8775de81de7908285 | [
"MIT"
] | 45 | 2019-12-26T10:36:47.000Z | 2022-03-30T12:17:45.000Z | train_quality_network.py | Phoenix-Chen/butterflies | 06abf393c69f7a7c54d4e8a8775de81de7908285 | [
"MIT"
] | 1 | 2022-02-04T02:54:05.000Z | 2022-02-04T02:54:05.000Z | train_quality_network.py | Phoenix-Chen/butterflies | 06abf393c69f7a7c54d4e8a8775de81de7908285 | [
"MIT"
] | 8 | 2019-12-27T08:51:40.000Z | 2022-02-04T01:29:23.000Z | from itertools import count
import torch
import torch.nn as nn
import torch.optim as optim
import numpy as np
from torch.utils.data import DataLoader
from tqdm import tqdm
from quality_network import QualityNetwork
from quality_dataset import QualityDataset
dataset = QualityDataset()
device = torch.device("cuda" if t... | 30.291667 | 102 | 0.680193 |
97098e37a31278bf23763abaa1532489fca3c09b | 4,504 | py | Python | tests/unit/services/test_onelog.py | vegaprotocol/social-media-verification | 5e2d23ff5781136de1692c4dc46b4bb02e588e65 | [
"MIT"
] | null | null | null | tests/unit/services/test_onelog.py | vegaprotocol/social-media-verification | 5e2d23ff5781136de1692c4dc46b4bb02e588e65 | [
"MIT"
] | 23 | 2021-03-31T10:19:54.000Z | 2021-10-29T23:55:34.000Z | tests/unit/services/test_onelog.py | vegaprotocol/social-media-verification | 5e2d23ff5781136de1692c4dc46b4bb02e588e65 | [
"MIT"
] | null | null | null | from typing import Callable, Pattern
import pytest
from datetime import datetime, timezone
from decimal import Decimal
import re
from services.onelog import onelog, OneLog, onelog_json
def test_OneLog_basic():
onelog = OneLog()
assert onelog.to_single_line_key_value() == ""
assert onelog.to_single_line_... | 28.506329 | 79 | 0.607904 |
2c67b51e201683584efb6941857c934af8bc41cd | 1,271 | py | Python | model.py | Gokuljokul/Sliding-window | f266f5ce136b9cba71f692848345369799743196 | [
"MIT"
] | null | null | null | model.py | Gokuljokul/Sliding-window | f266f5ce136b9cba71f692848345369799743196 | [
"MIT"
] | null | null | null | model.py | Gokuljokul/Sliding-window | f266f5ce136b9cba71f692848345369799743196 | [
"MIT"
] | null | null | null | import tflearn
from tflearn.data_utils import shuffle, to_categorical
from tflearn.layers.core import input_data, dropout, fully_connected
from tflearn.layers.conv import conv_2d, max_pool_2d
from tflearn.layers.estimator import regression
from tflearn.data_preprocessing import ImagePreprocessing
from tflearn.dat... | 41 | 102 | 0.796223 |
477a928feed7e28d3b686a56d9dbb2c57440baac | 2,053 | py | Python | tests/test_timeline_clock.py | rvega/isobar | 6b9ead7238e559cdcf83dd4122e2ddcbe2f651ad | [
"MIT"
] | 241 | 2015-01-05T12:32:21.000Z | 2022-03-29T20:50:51.000Z | tests/test_timeline_clock.py | rvega/isobar | 6b9ead7238e559cdcf83dd4122e2ddcbe2f651ad | [
"MIT"
] | 21 | 2015-01-28T16:57:59.000Z | 2022-03-17T22:01:08.000Z | tests/test_timeline_clock.py | rvega/isobar | 6b9ead7238e559cdcf83dd4122e2ddcbe2f651ad | [
"MIT"
] | 39 | 2015-01-27T04:29:22.000Z | 2022-02-16T13:14:13.000Z | """ Unit tests for isobar """
import isobar as iso
import pytest
import time
def test_timeline_clock_accuracy():
#--------------------------------------------------------------------------------
# 480 ticks per beat @ 125bpm = 1 tick per 1ms
#---------------------------------------------------------------... | 40.254902 | 87 | 0.514856 |
2097736151697374cb349c540d4599d4aee8d388 | 1,307 | py | Python | tests/integration/test_genericpage4.py | pauleveritt/kaybee | a00a718aaaa23b2d12db30dfacb6b2b6ec84459c | [
"Apache-2.0"
] | 2 | 2017-11-08T19:55:57.000Z | 2018-12-21T12:41:41.000Z | tests/integration/test_genericpage4.py | pauleveritt/kaybee | a00a718aaaa23b2d12db30dfacb6b2b6ec84459c | [
"Apache-2.0"
] | null | null | null | tests/integration/test_genericpage4.py | pauleveritt/kaybee | a00a718aaaa23b2d12db30dfacb6b2b6ec84459c | [
"Apache-2.0"
] | 1 | 2018-10-13T08:59:29.000Z | 2018-10-13T08:59:29.000Z | import pytest
pytestmark = pytest.mark.sphinx('html', testroot='genericpage4')
@pytest.mark.parametrize('page', ['about.html', ], indirect=True)
class TestGenericpage4:
def test_about(self, page):
# The root's acquireds has a all: template pointing to
# acquired_all. The _templates dir has a
... | 32.675 | 75 | 0.648049 |
0a50d018b899d1e542431b0b624f2240220e35e3 | 10,358 | py | Python | ple/games/originalgame/board.py | rach0012/humanRL_prior_games | c9fff26af5df3e1cdea023536da5fda114ba5c60 | [
"MIT"
] | 62 | 2018-06-19T07:57:03.000Z | 2022-03-12T14:09:40.000Z | ple/games/originalgame/board.py | wwxFromTju/humanRL_prior_games | 74d98f1c1aa88067534e880f57c8158a41f8b407 | [
"MIT"
] | 4 | 2018-09-19T21:11:09.000Z | 2019-05-14T21:38:28.000Z | ple/games/originalgame/board.py | wwxFromTju/humanRL_prior_games | 74d98f1c1aa88067534e880f57c8158a41f8b407 | [
"MIT"
] | 13 | 2018-06-19T10:52:19.000Z | 2021-12-21T12:19:18.000Z | __author__ = 'Rachit Dubey'
import pygame
import math
import sys
import os
import numpy as np
from .person import Person
from .onBoard import OnBoard
from .enemy import enemy
from .player import Player
class Board(object):
'''
This class defines our gameboard.
A gameboard contains everthing related to our ... | 43.158333 | 130 | 0.529639 |
7f840d58b7f25b9d44f904f790ada2e5088ce3a0 | 5,707 | py | Python | Q2/attack.py | zjunlp/DiagnoseRE | 7ff551e2bcdf9c02820084e2a5ec2624e4069887 | [
"MIT"
] | 22 | 2020-09-21T15:29:20.000Z | 2022-01-17T08:46:07.000Z | Q2/attack.py | zjunlp/DiagnoseRE | 7ff551e2bcdf9c02820084e2a5ec2624e4069887 | [
"MIT"
] | null | null | null | Q2/attack.py | zjunlp/DiagnoseRE | 7ff551e2bcdf9c02820084e2a5ec2624e4069887 | [
"MIT"
] | 7 | 2020-10-06T02:31:40.000Z | 2022-03-29T02:58:53.000Z | import time
from multiprocessing import Queue, Process, set_start_method
from victim import *
# Enable this to allow tensors being converted to numpy arrays
tf.compat.v1.enable_eager_execution()
try:
set_start_method('spawn')
except Exception:
pass
logging.basicConfig(level=logging.INFO)
# Silent unimportant ... | 40.764286 | 113 | 0.630629 |
3ca229a2ed523499fda2274fa51c352234589a44 | 16,638 | py | Python | tools/compbio/RNArobo/foldfilter/dotknot/dotknot.py | PeterKoza/Galaxy-fmfi | 2c201b7cca694905412452a707ec69b2111f72c7 | [
"CC-BY-3.0"
] | null | null | null | tools/compbio/RNArobo/foldfilter/dotknot/dotknot.py | PeterKoza/Galaxy-fmfi | 2c201b7cca694905412452a707ec69b2111f72c7 | [
"CC-BY-3.0"
] | null | null | null | tools/compbio/RNArobo/foldfilter/dotknot/dotknot.py | PeterKoza/Galaxy-fmfi | 2c201b7cca694905412452a707ec69b2111f72c7 | [
"CC-BY-3.0"
] | null | null | null | """
DotKnot: software for RNA pseudoknot prediction
Copyright (C) 2010-2011 Jana Sperschneider
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 Software Foundation; either version 2 of the ... | 56.979452 | 183 | 0.554995 |
b3929d4ab0b97a7fd59f4ec349376a243984afd5 | 1,234 | py | Python | src/vmc/scanners/migrations/0002_auto_20200614_2000.py | mSALDANHAf/vmc | 2475395a41284356a93ba7d523f4bcf2e5ef1ef7 | [
"Apache-2.0"
] | 37 | 2020-05-30T14:51:23.000Z | 2022-03-30T00:56:48.000Z | src/vmc/scanners/migrations/0002_auto_20200614_2000.py | mSALDANHAf/vmc | 2475395a41284356a93ba7d523f4bcf2e5ef1ef7 | [
"Apache-2.0"
] | 20 | 2019-12-05T01:06:43.000Z | 2022-02-16T17:37:52.000Z | src/vmc/scanners/migrations/0002_auto_20200614_2000.py | mSALDANHAf/vmc | 2475395a41284356a93ba7d523f4bcf2e5ef1ef7 | [
"Apache-2.0"
] | 10 | 2019-12-11T08:03:03.000Z | 2022-03-24T08:31:56.000Z | # Generated by Django 2.2.13 on 2020-06-14 20:00
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('scanners', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='config',
name='enabled',
... | 31.641026 | 183 | 0.563209 |
4b2de9e98f4a41805cc91772e9f15165a1251f28 | 3,653 | py | Python | src/pysonata/sonata/circuit/edge.py | AllenInstitute/project7 | 901350cdf5c57a56b7efece2a309c72bdf5f2608 | [
"BSD-3-Clause"
] | 35 | 2018-04-10T13:54:27.000Z | 2022-03-12T09:22:31.000Z | src/pysonata/sonata/circuit/edge.py | AllenInstitute/project7 | 901350cdf5c57a56b7efece2a309c72bdf5f2608 | [
"BSD-3-Clause"
] | 92 | 2018-03-19T10:14:18.000Z | 2022-01-29T15:21:47.000Z | src/pysonata/sonata/circuit/edge.py | AllenInstitute/project7 | 901350cdf5c57a56b7efece2a309c72bdf5f2608 | [
"BSD-3-Clause"
] | 25 | 2018-03-16T23:14:42.000Z | 2022-02-09T19:37:05.000Z | # Copyright 2017. Allen Institute. All rights reserved
#
# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the
# following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the follow... | 36.89899 | 120 | 0.718314 |
dae39d76c230fdefa06aca788d644a14e37cb654 | 2,322 | py | Python | atlas-outreach-data-tools-framework-1.1/Plotting/PlotStyle.py | Harvard-Neutrino/phys145 | c3dc5788128fa2a7db0af0c796cf3afd957bf0ed | [
"CC0-1.0"
] | null | null | null | atlas-outreach-data-tools-framework-1.1/Plotting/PlotStyle.py | Harvard-Neutrino/phys145 | c3dc5788128fa2a7db0af0c796cf3afd957bf0ed | [
"CC0-1.0"
] | null | null | null | atlas-outreach-data-tools-framework-1.1/Plotting/PlotStyle.py | Harvard-Neutrino/phys145 | c3dc5788128fa2a7db0af0c796cf3afd957bf0ed | [
"CC0-1.0"
] | 1 | 2021-11-30T02:08:12.000Z | 2021-11-30T02:08:12.000Z | """The general style that is to be applied is defined here. Note that it is not an official ATLAS style but
has been adapted to the personal tastes of the author. Change it if it does not fit your taste but take note
that ROOT sometimes has a will of its own and you may find yourself frustrated sooner than later.
"""
... | 29.769231 | 109 | 0.756245 |
2b99f0a31fb0317eb67d631ccdd9801e2c3e3b2d | 1,232 | py | Python | backend/modeling/src/scaler/standard_scaler.py | alyildiz/btc_forecast | b1e70431c9f18bee0afda71b96805f6194072548 | [
"MIT"
] | 5 | 2021-09-06T08:42:02.000Z | 2021-11-15T15:04:57.000Z | backend/modeling/src/scaler/standard_scaler.py | alyildiz/sncf_forecast | b1e70431c9f18bee0afda71b96805f6194072548 | [
"MIT"
] | null | null | null | backend/modeling/src/scaler/standard_scaler.py | alyildiz/sncf_forecast | b1e70431c9f18bee0afda71b96805f6194072548 | [
"MIT"
] | null | null | null | import pandas as pd
from src.scaler.base_scaler import BaseScaler
class StandardScaler(BaseScaler):
def __init__(self, columns_to_scale: list, target: list, dic: dict = {}):
super().__init__(columns_to_scale, target, dic)
def fit_transform(self, data: pd.DataFrame):
df = data.copy()
f... | 34.222222 | 82 | 0.564123 |
dc1338e1c3ae3adae66af6503072dc4fe83446ea | 111 | py | Python | Bronze/Bronze_I/1357.py | masterTyper/baekjoon_solved_ac | b9ce14d9bdaa5b5b06735ad075fb827de9f44b9c | [
"MIT"
] | null | null | null | Bronze/Bronze_I/1357.py | masterTyper/baekjoon_solved_ac | b9ce14d9bdaa5b5b06735ad075fb827de9f44b9c | [
"MIT"
] | null | null | null | Bronze/Bronze_I/1357.py | masterTyper/baekjoon_solved_ac | b9ce14d9bdaa5b5b06735ad075fb827de9f44b9c | [
"MIT"
] | null | null | null | X, Y = input().split()
rev_X = X[::-1]
rev_Y = Y[::-1]
sum = int(rev_X) + int(rev_Y)
print(int(str(sum)[::-1])) | 22.2 | 29 | 0.540541 |
b40d333d242e56d9a4ed2c1f620b96a7bca3a86f | 1,247 | py | Python | qualitube/exceptions.py | qualichat/qualitube | 6d1b9b67cc3a6cc41f5d3a6ecfd2d66b3f65c72e | [
"MIT"
] | null | null | null | qualitube/exceptions.py | qualichat/qualitube | 6d1b9b67cc3a6cc41f5d3a6ecfd2d66b3f65c72e | [
"MIT"
] | null | null | null | qualitube/exceptions.py | qualichat/qualitube | 6d1b9b67cc3a6cc41f5d3a6ecfd2d66b3f65c72e | [
"MIT"
] | null | null | null | """
MIT License
Copyright (c) 2021 Vítor Mussa
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, publish, d... | 35.628571 | 78 | 0.780273 |
6345ccb6a880324ca44eb885cbf149a0cbe1e41a | 1,868 | py | Python | recipes/python-recipes/micro_table.py | atn34/foundationdb | bd52f8cbd6596671d19af394ec8077c6298cc6aa | [
"Apache-2.0"
] | 11,024 | 2018-04-19T16:06:46.000Z | 2022-03-31T23:43:55.000Z | recipes/python-recipes/micro_table.py | atn34/foundationdb | bd52f8cbd6596671d19af394ec8077c6298cc6aa | [
"Apache-2.0"
] | 4,430 | 2018-04-19T17:12:33.000Z | 2022-03-31T23:56:34.000Z | recipes/python-recipes/micro_table.py | atn34/foundationdb | bd52f8cbd6596671d19af394ec8077c6298cc6aa | [
"Apache-2.0"
] | 1,146 | 2018-04-19T16:45:57.000Z | 2022-03-30T10:43:57.000Z | #
# micro_table.py
#
# This source file is part of the FoundationDB open source project
#
# Copyright 2013-2018 Apple Inc. and the FoundationDB project authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy o... | 23.64557 | 74 | 0.694325 |
b9625a83fdefaacb7533785307fa22dfa00609a9 | 2,597 | py | Python | client/vowels_prediction.py | MiltonCastilloG/lip_reading_first_approach | bc3a1693607654320b1532580c96197cd4e6e1d2 | [
"MIT"
] | null | null | null | client/vowels_prediction.py | MiltonCastilloG/lip_reading_first_approach | bc3a1693607654320b1532580c96197cd4e6e1d2 | [
"MIT"
] | 2 | 2020-01-30T14:44:32.000Z | 2020-03-27T11:12:57.000Z | client/vowels_prediction.py | MiltonCastilloG/lip_reading_first_approach | bc3a1693607654320b1532580c96197cd4e6e1d2 | [
"MIT"
] | null | null | null | #Cargado del modelo propio
from keras.models import model_from_json
json_file = open("network_clase.json", "r")
vowels_model_json = json_file.read()
json_file.close()
vowels_model_json = model_from_json(vowels_model_json)
# Cargar los pesos (weights) en un nuevo modelo
vowels_model_json.load_weights("network_weights_... | 30.552941 | 86 | 0.756257 |
91ae1121ab522c5ec74869736cdca27ee08ca053 | 3,080 | py | Python | halmodule.py | richteer/pyfatafl | 1faddcf5d9eb36cbc6952b9a8e8bb899989f7112 | [
"MIT"
] | null | null | null | halmodule.py | richteer/pyfatafl | 1faddcf5d9eb36cbc6952b9a8e8bb899989f7112 | [
"MIT"
] | null | null | null | halmodule.py | richteer/pyfatafl | 1faddcf5d9eb36cbc6952b9a8e8bb899989f7112 | [
"MIT"
] | null | null | null | from module import XMPPModule
import halutils
import pyfatafl
class Game():
self.players = []
self.xmpp = None
self.b = None
self.turn = ""
self.mod = None
def __init__(self, mod, p1, p2):
self.players = [p1, p2]
self.mod = mod
self.xmpp = mod.xmpp
self.xmpp.sendMsg(p2, "You have been challenged to play... | 29.615385 | 147 | 0.656494 |
f27f2abf0afea3b2ebebc804363e8e560178fa7e | 478 | py | Python | extras/send_ethernet.py | myersw12/mii_vhdl_example | ce3564d9ee3663871aaf0bb09e68f0b63a76e3ab | [
"MIT"
] | 2 | 2021-02-06T20:40:25.000Z | 2022-01-18T20:53:42.000Z | extras/send_ethernet.py | myersw12/mii_vhdl_example | ce3564d9ee3663871aaf0bb09e68f0b63a76e3ab | [
"MIT"
] | null | null | null | extras/send_ethernet.py | myersw12/mii_vhdl_example | ce3564d9ee3663871aaf0bb09e68f0b63a76e3ab | [
"MIT"
] | 1 | 2018-04-19T12:54:36.000Z | 2018-04-19T12:54:36.000Z | """
Send raw ethernet packets
Usage:
$ sudo python send_ethernet.py
"""
from socket import *
def sendeth(src, dst, eth_type, payload, interface = "eth0"):
s = socket(AF_PACKET, SOCK_RAW)
s.bind((interface, 0))
return s.send(src + dst + eth_type + payload)
if __name__ == "__main__":
print("Sent %d-byte E... | 19.12 | 61 | 0.615063 |
e01012aeb07b0d966612e8c0df0ab09ede0dfa12 | 7,285 | py | Python | api-ref/source/conf.py | larsbutler/swift | 216d68eaa861b0607f1a05828f757f19cb8e6b64 | [
"Apache-2.0"
] | null | null | null | api-ref/source/conf.py | larsbutler/swift | 216d68eaa861b0607f1a05828f757f19cb8e6b64 | [
"Apache-2.0"
] | null | null | null | api-ref/source/conf.py | larsbutler/swift | 216d68eaa861b0607f1a05828f757f19cb8e6b64 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, softwa... | 32.815315 | 79 | 0.710501 |
6ccc97323f783ca7fad6ebf5cd6695b3f18ea0ed | 3,773 | py | Python | uno/data_processing_cylon.py | vibhatha/cylon_applications | 6af9bdf3b4738c6cc4cf2c3c181a5c60f049d113 | [
"Apache-2.0"
] | 5 | 2021-01-12T17:18:31.000Z | 2022-02-23T05:37:14.000Z | uno/data_processing_cylon.py | vibhatha/cylon_applications | 6af9bdf3b4738c6cc4cf2c3c181a5c60f049d113 | [
"Apache-2.0"
] | 13 | 2021-01-06T12:49:14.000Z | 2021-03-20T16:50:16.000Z | uno/data_processing_cylon.py | vibhatha/cylon_applications | 6af9bdf3b4738c6cc4cf2c3c181a5c60f049d113 | [
"Apache-2.0"
] | null | null | null | import os
import time
import download_util
from pycylon import CylonContext
from pycylon import Table
from pycylon.io import CSVReadOptions
from pycylon.io import read_csv
import numpy as np
import pandas as pd
ctx: CylonContext = CylonContext(config=None, distributed=False)
def load_aggregated_single_response_cylon... | 46.012195 | 114 | 0.615955 |
01693fae13d9b0b5fcdeb8453ffae9182a1b984a | 1,707 | py | Python | servicelayer/archive/file.py | simonwoerpel/servicelayer | 1455bc305302ee184695af006477f9812ff39910 | [
"MIT"
] | null | null | null | servicelayer/archive/file.py | simonwoerpel/servicelayer | 1455bc305302ee184695af006477f9812ff39910 | [
"MIT"
] | null | null | null | servicelayer/archive/file.py | simonwoerpel/servicelayer | 1455bc305302ee184695af006477f9812ff39910 | [
"MIT"
] | null | null | null | import shutil
import logging
from normality import safe_filename
from servicelayer.archive.archive import Archive
from servicelayer.archive.util import ensure_path, checksum, BUF_SIZE
log = logging.getLogger(__name__)
class FileArchive(Archive):
def __init__(self, path=None):
self.path = ensure_path(pa... | 32.207547 | 73 | 0.657293 |
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