content stringlengths 7 928k | avg_line_length float64 3.5 33.8k | max_line_length int64 6 139k | alphanum_fraction float64 0.08 0.96 | licenses list | repository_name stringlengths 7 104 | path stringlengths 4 230 | size int64 7 928k | lang stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|
import math
def is_prime_power(n):
#even number divisible
factors = set()
while n % 2 == 0:
factors.add(2)
n = n / 2
#n became odd
for i in range(3,int(math.sqrt(n))+1,2):
while (n % i == 0):
factors.add(i)
n = n / i
if n > 2:
factors.add(n)
ret... | 17.65625 | 43 | 0.486726 | [
"Unlicense"
] | EJammy/Integer-Sequences | Prime Powers/prime_powers.py | 565 | Python |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 41.317884 | 120 | 0.452668 | [
"Apache-2.0"
] | ksowmya/cloudstack-1 | test/integration/component/test_stopped_vm.py | 82,016 | Python |
# Created by Qingzhi Ma at 2019-07-24
# All right reserved
# Department of Computer Science
# the University of Warwick
# Q.Ma.2@warwick.ac.uk
from dbestclient.ml.density import DBEstDensity
from dbestclient.ml.modelwraper import SimpleModelWrapper, GroupByModelWrapper
from dbestclient.ml.regression import DBEstReg
fro... | 44.186441 | 150 | 0.67127 | [
"BSD-2-Clause"
] | horeapinca/DBEstClient | dbestclient/ml/modeltrainer.py | 2,607 | Python |
from sanic import Sanic, response, Blueprint
from sanic.request import RequestParameters
from sanic_jinja2 import SanicJinja2
from sanic_session import Session, AIORedisSessionInterface
import aiosqlite
import aiofiles
import aioredis
import asyncio
import json
import html
import sys
import os
import re
... | 44.087958 | 251 | 0.548713 | [
"BSD-3-Clause"
] | BadaWikiDev/VientoEngine | app.py | 42,730 | Python |
# -*- coding: utf-8 -*-
# Copyright (c) 2022 Intel 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 applicab... | 38.828571 | 93 | 0.740986 | [
"Apache-2.0"
] | intel/lp-opt-tool | neural_compressor/ux/web/service/optimization.py | 1,359 | Python |
# A lista a seguir possui mais uma lista interna, a lista de preços.
# A lista de preços possui 3 sublistas dentro dela com os preços dos produtos.
# para exemplificar, o preço do mamão é de 10.00 - alface crespa é de 2.99 e o feijão 9.0
# Será solicitado o preço de alguns produtos. para imprimir deve ser por f-string ... | 40.577778 | 114 | 0.637459 | [
"MIT"
] | marcelabbc07/TrabalhosPython | Aula18/rev3.py | 1,853 | Python |
import os
import arcpy
from arcpy import env
import time
def splitGDBTool(inputGDB,inputFrame,splitField,outputDir):
# Get FCs to be cliped
env.workspace = inputGDB
inputFCs = arcpy.ListFeatureClasses()
countFCs =len(inputFCs)
cursor = arcpy.da.SearchCursor(inputFrame,["TID","SHAPE@"])
in... | 33.148148 | 77 | 0.622346 | [
"Apache-2.0"
] | AkutoSai/ArcGIS | Arcpy Script/SplitGDB/splitGDBTool.py | 895 | Python |
def test_positive_guess(patched_hangman):
decision = patched_hangman.guess("e")
assert decision is True
def test_negative_guess(patched_hangman):
decision = patched_hangman.guess("r")
assert decision is False
def test_none_guess(patched_hangman):
patched_hangman.guess("e")
decision = patched... | 24.533333 | 41 | 0.75 | [
"MIT"
] | julia-shenshina/hangman | tests/test_hangman.py | 368 | Python |
# Copyright 2018, Erlang Solutions Ltd, and S2HC Sweden AB
#
# 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... | 30.837209 | 78 | 0.687029 | [
"Apache-2.0"
] | AlexKovalevych/Pyrlang | pyrlang/net_kernel.py | 1,326 | Python |
#!/bin/python
import platform
import fabric.api
from fabric.contrib.files import exists as remote_exists
from cloudify import ctx
from cloudify.exceptions import NonRecoverableError
def _get_distro_info():
distro, _, release = platform.linux_distribution(
full_distribution_name=False)
return '{0} {... | 37.156863 | 78 | 0.643272 | [
"Apache-2.0"
] | AlexAdamenko/cloudify-openstack | components/nginx/scripts/retrieve_agents.py | 1,895 | Python |
# Generated by Django 3.0.5 on 2020-04-22 02:42
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0057_sugestaoturma_horarios'),
]
operations = [
migrations.RemoveField(
model_name='sugestaoturma',
name='ho... | 22.434783 | 60 | 0.585271 | [
"MIT"
] | ArthurGorgonio/suggestclasses | core/migrations/0058_auto_20200421_2342.py | 516 | Python |
"""This module defines classes that handle mesh and mesh operations.
This module defines a factory class for mesh, similar to geometry and
size function factory class. It also defines concrete mesh types.
Currently two concrete mesh types are defined for generic Eucledian
mesh and specific 2D Eucledian mesh.
"""
from ... | 31.437795 | 95 | 0.548111 | [
"CC0-1.0"
] | noaa-ocs-modeling/OCSMesh | ocsmesh/mesh/mesh.py | 66,711 | Python |
#
# Solution to Project Euler problem 287
# Copyright (c) Project Nayuki. All rights reserved.
#
# https://www.nayuki.io/page/project-euler-solutions
# https://github.com/nayuki/Project-Euler-solutions
#
# Let R = 2^(N-1) denote the radius of the circle (filled disk) being drawn.
#
# First, we can simplify the pr... | 47.935897 | 95 | 0.682268 | [
"MIT"
] | xianlinfeng/project_euler_python3 | solutions/p287.py | 3,739 | Python |
from probs import Binomial
class TestBinomial:
@staticmethod
def test_binomial() -> None:
d = Binomial()
assert d.expectation() == 0
assert d.variance() == 0
# TODO: Python 3.7 implementation differs from 3.8+
# assert P(d == 0) == 1
# assert P(d == 1) == 0
... | 25.704545 | 59 | 0.458002 | [
"MIT"
] | TylerYep/probs | tests/discrete/binomial_test.py | 1,131 | Python |
from collections import Counter
class MajorityBaselineClassifier:
@staticmethod
def train(_, labels):
c = Counter(labels)
return c.most_common()[0][0]
@staticmethod
def predict(_, majority_label):
return majority_label
| 20.153846 | 36 | 0.675573 | [
"MIT"
] | dompuiu/PROEA-821-005-Spring-2018 | HW2/majority_baseline_classifier.py | 262 | Python |
#! /usr/bin/env python
import tensorflow as tf
import numpy as np
import os
import time
import datetime
import data_helpers
from text_cnn import TextCNN
from tensorflow.contrib import learn
# Parameters
# ==================================================
# Data loading params 语料文件路径定义
tf.flags.DEFINE... | 42.447368 | 125 | 0.725976 | [
"Apache-2.0"
] | tangku006/cnn-text-classification-tf-master | test.py | 3,276 | Python |
import pytest
import json
from collections import OrderedDict
from great_expectations.profile.base import DatasetProfiler
from great_expectations.profile.basic_dataset_profiler import BasicDatasetProfiler
from great_expectations.profile.columns_exist import ColumnsExistProfiler
from great_expectations.dataset.pandas_... | 48.639405 | 490 | 0.747249 | [
"Apache-2.0"
] | AdamHepner/great_expectations | tests/profile/test_profile.py | 13,084 | Python |
import os
import codecs
from busSchedules import schedule1B
from busSchedules import schedule2
from busSchedules import schedule3
from busSchedules import schedule4
from busSchedules import schedule5
from busSchedules import schedule6
from busZonesTimes import busZonesTimesOne
from busZonesTimes import busZone... | 29.153409 | 145 | 0.693432 | [
"MIT"
] | NazarenoCavazzon/BlueAPI | app.py | 10,264 | Python |
"""
Concatenate the labels with the notes data and split using the saved splits
"""
import csv
from datetime import datetime
import random
from constants import DATA_DIR
from constants import MIMIC_3_DIR
import pandas as pd
DATETIME_FORMAT = "%Y-%m-%d %H-%M-%S"
def concat_data(labelsfile, notes_file):
"""
... | 28.544872 | 113 | 0.628116 | [
"MIT"
] | franzbischoff/caml-mimic | dataproc/concat_and_split.py | 4,453 | Python |
import os
import json
import logging
from dataclasses import dataclass, field
from typing import Dict, Optional, Callable
import torch
import wandb
import numpy as np
from tqdm.auto import tqdm
from torch.utils.data.dataloader import DataLoader
from torch.utils.data.dataset import Dataset
from torch.utils.data.distrib... | 38.967742 | 118 | 0.550369 | [
"MIT"
] | Daupler/CA-MTL | src/mtl_trainer.py | 15,704 | Python |
# coding: utf-8
"""
Influx API Service
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
OpenAPI spec version: 0.1.0
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import re # noqa: F40... | 34.153226 | 132 | 0.629988 | [
"MIT"
] | rhajek/influxdb-client-python | influxdb_client/service/health_service.py | 4,235 | Python |
# -*- coding: utf-8 -*-
# Copyright 2022 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 33.218182 | 85 | 0.767378 | [
"Apache-2.0"
] | TheMichaelHu/python-aiplatform | samples/generated_samples/aiplatform_v1_generated_specialist_pool_service_create_specialist_pool_async.py | 1,827 | Python |
#!/usr/bin/env python
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT license.
import os
import argparse
from os.path import join as pjoin
import numpy as np
import networkx as nx
from textworld.render import visualize
from textworld.generator import Game
from textworld.generat... | 32.95283 | 107 | 0.658746 | [
"MIT"
] | Bhaskers-Blu-Org2/TextWorld | scripts/sample_quests.py | 3,493 | Python |
#modo indireto
'''import math
num = int(input('Digite um número: '))
raiz = math.sqrt(num)
print('A raiz de {} é {}'.format(num, math.ceil(raiz)))'''
#modo direto
from math import sqrt, floor
num = int(input('Digite um número:'))
raiz = sqrt(num)
print('A raiz de {} é {:.2f}'.format(num, floor(raiz)))
| 25.333333 | 58 | 0.651316 | [
"MIT"
] | MarcelaSamili/Desafios-do-curso-de-Python | Python/PycharmProjects/aula 8/1.py | 308 | Python |
# -------------------------------------------------------------------------
# Copyright (c) 2015-2017 AT&T Intellectual Property
#
# 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
#
# ... | 46.371795 | 123 | 0.685651 | [
"Apache-2.0"
] | onap/optf-osdf | osdf/adapters/policy/utils.py | 3,617 | Python |
#!/usr/bin/env python
#
# File Name : ptbtokenizer.py
#
# Description : Do the PTB Tokenization and remove punctuations.
#
# Creation Date : 29-12-2014
# Last Modified : Thu Mar 19 09:53:35 2015
# Authors : Hao Fang <hfang@uw.edu> and Tsung-Yi Lin <tl483@cornell.edu>
import os
import sys
import subprocess
import temp... | 40.971014 | 114 | 0.520693 | [
"MIT"
] | JaywongWang/DenseVideoCaptioning | densevid_eval-master/coco-caption/pycocoevalcap/tokenizer/ptbtokenizer.py | 2,827 | Python |
""" Implementation of mooda.read_pkl(path) """
import pickle
from .. import WaterFrame
def read_pkl(path_pkl):
"""
Get a WaterFrame from a pickle file.
Parameters
----------
path_pkl: str
Location of the pickle file.
Returns
-------
wf_pkl: WaterFram... | 22.148148 | 57 | 0.600334 | [
"MIT"
] | rbardaji/mooda | mooda/input/read_pkl.py | 598 | Python |
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: requirement_instance.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google... | 50.360248 | 812 | 0.75555 | [
"Apache-2.0"
] | easyopsapis/easyops-api-python | console_gateway_sdk/model/tuna_service/requirement_instance_pb2.py | 8,108 | Python |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# cob documentation build configuration file, created by
# sphinx-quickstart on Sun Jan 7 18:09:10 2018.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autoge... | 30.378238 | 79 | 0.683268 | [
"MIT"
] | C-Pauli/cob | docs/conf.py | 5,863 | Python |
from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Textfont(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "scatter3d"
_path_str = "scatter3d.textfont"
_valid_props = {"color", "colorsrc", "family",... | 34.427609 | 82 | 0.557653 | [
"MIT"
] | 1abner1/plotly.py | packages/python/plotly/plotly/graph_objs/scatter3d/_textfont.py | 10,225 | Python |
# qubit number=5
# total number=48
import pyquil
from pyquil.api import local_forest_runtime, QVMConnection
from pyquil import Program, get_qc
from pyquil.gates import *
import numpy as np
conn = QVMConnection()
def make_circuit()-> Program:
prog = Program() # circuit begin
prog += H(0) # number=3
pr... | 25.139535 | 64 | 0.546253 | [
"BSD-3-Clause"
] | UCLA-SEAL/QDiff | benchmark/startPyquil1068.py | 2,162 | Python |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Tests for the Microsoft Internet Explorer WebCache database."""
import unittest
from plaso.lib import definitions
from plaso.parsers.esedb_plugins import msie_webcache
from tests.parsers.esedb_plugins import test_lib
class MsieWebCacheESEDBPluginTest(test_lib.ESEDB... | 39.23 | 80 | 0.702014 | [
"Apache-2.0"
] | ColdSmoke627/plaso | tests/parsers/esedb_plugins/msie_webcache.py | 3,923 | Python |
""" converted from Matlab code
source: http://www.robots.ox.ac.uk/~fwood/teaching/AIMS_CDT_ML_2015/homework/HW_2_em/
"""
import numpy as np
def m_step_gaussian_mixture(data, gamma):
"""% Performs the M-step of the EM algorithm for gaussain mixture model.
%
% @param data : n x d matrix with rows as d dim... | 29.682927 | 99 | 0.555464 | [
"MIT"
] | leonardbj/AIMS | src/ML_Algorithms/ExpectationMaximization/m_step_gaussian_mixture.py | 1,217 | Python |
from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
import numpy as np
__all__ = [
"wigner3j",
"get_camb_cl",
"scale_dust",
]
def blackbody(nu, ref_freq=353.0):
"""
The ratio of the blackbody function for dust at frequency nu
over the v... | 27.577273 | 83 | 0.60656 | [
"MIT"
] | SPIDER-CMB/xfaster | xfaster/spec_tools.py | 6,067 | Python |
#!/usr/bin/env python
# coding: utf-8
#
# Project: Azimuthal integration
# https://github.com/silx-kit/pyFAI
#
# Copyright (C) 2015-2018 European Synchrotron Radiation Facility, Grenoble, France
#
# Principal author: Jérôme Kieffer (Jerome.Kieffer@ESRF.eu)
#
# Permission is hereby granted, fr... | 38.646018 | 101 | 0.686512 | [
"MIT"
] | Jona-Engel/pyFAI | pyFAI/test/test_pickle.py | 4,371 | Python |
import string
import random
from functools import wraps
from urllib.parse import urlencode
from seafileapi.exceptions import ClientHttpError, DoesNotExist
def randstring(length=0):
if length == 0:
length = random.randint(1, 30)
return ''.join(random.choice(string.lowercase) for i in range(length))
def... | 24.862069 | 74 | 0.575589 | [
"Apache-2.0"
] | AdriCueGim/python-seafile | seafileapi/utils.py | 1,442 | Python |
# -*- coding: utf8 -*-
# Copyright (c) 2017-2018 THL A29 Limited, a Tencent company. 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... | 32.031272 | 110 | 0.600071 | [
"Apache-2.0"
] | qin5506/tencentcloud-sdk-python | tencentcloud/mongodb/v20180408/models.py | 50,620 | Python |
import numpy as np
import pytest
import tensorflow as tf
from garage.tf.models.gru import gru
from tests.fixtures import TfGraphTestCase
from tests.helpers import recurrent_step_gru
class TestGRU(TfGraphTestCase):
def setup_method(self):
super().setup_method()
self.batch_size = 2
self.hi... | 43.812195 | 79 | 0.490675 | [
"MIT"
] | artberryx/LSD | garaged/tests/garage/tf/models/test_gru.py | 17,963 | Python |
# -*- coding: utf-8 -*-
"""This file contains a basic Skype SQLite parser."""
import logging
from plaso.events import time_events
from plaso.parsers import sqlite
from plaso.parsers.sqlite_plugins import interface
__author__ = 'Joaquin Moreno Garijo (bastionado@gmail.com)'
class SkypeChatEvent(time_events.PosixTi... | 36.893333 | 80 | 0.665161 | [
"Apache-2.0"
] | Defense-Cyber-Crime-Center/plaso | plaso/parsers/sqlite_plugins/skype.py | 16,602 | Python |
import pycrfsuite
import sklearn
from itertools import chain
from sklearn.metrics import classification_report, confusion_matrix
from sklearn.preprocessing import LabelBinarizer
import re
import json
annotypes = ['Participants', 'Intervention', 'Outcome']
annotype = annotypes[0]
path = '/nlp/data/romap/crf/'
#path = '... | 38.195572 | 130 | 0.575983 | [
"Apache-2.0"
] | roma-patel/lstm-crf | crf-seq/sets/sets/4/seq_detect_1p.py | 10,351 | Python |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
###################################################################
# Author: Mu yanru
# Date : 2018.5
# Email : muyanru345@163.com
###################################################################
from dayu_widgets.item_model import MSortFilterModel, MTableModel
from d... | 39.493671 | 106 | 0.690705 | [
"MIT"
] | kanbang/dayu_widgets | dayu_widgets/item_view_set.py | 3,120 | Python |
# Generated by Django 2.2 on 2019-05-08 20:45
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0011_update_proxy_permissions'),
]
operations = [
migrations.CreateModel(
name='User',
fie... | 49.970588 | 266 | 0.637434 | [
"MIT"
] | ing-ivan-31/recipe-app | app/core/migrations/0001_initial.py | 1,699 | Python |
import time
import datetime
import json
import hashlib
from .env import Env
from .server import Server
from .hardware import Hardware
class Metric(object):
def __init__(self):
# format of report data
self._version = '0.1'
self._type = 'metric'
self.run_id = None
self.mode =... | 27.071429 | 73 | 0.600923 | [
"Apache-2.0"
] | NotRyan/milvus | tests/benchmark/milvus_benchmark/metrics/models/metric.py | 1,516 | Python |
from credentials import credentials
import unittest
import pyperclip
class TestUser(unittest.TestCase):
'''
Test that defines test cases for the User class
Args:
unitest.Testcase: Testcase that helps in creating test cases for class User.
'''
def setUp(self):
'''
Set up me... | 26.228571 | 84 | 0.62963 | [
"Unlicense"
] | paulmunyao/Password-Locker | credentials_test.py | 918 | Python |
import inspect
import sys
from enum import IntEnum
from pathlib import Path
from time import time
from logging import getLevelName
from typing import Tuple, Union, Any, List, Iterable, TextIO, Optional
from . import logging
from .logging import _set_log_level, _set_log_file, RootLogger
_VERBOSITY_TO_LOGLEVEL = {
... | 32.397229 | 102 | 0.597662 | [
"BSD-3-Clause"
] | gamazeps/scanpy | scanpy/_settings.py | 14,034 | Python |
VERSION = 'v0.0.1' | 18 | 18 | 0.611111 | [
"MIT"
] | shi1412/pyspark-olap-pipeline | jobs/version.py | 18 | Python |
# -*- coding: utf-8 -*-
#
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# -- Path setup ------------------------------------------------------------... | 29.682353 | 79 | 0.649822 | [
"Apache-2.0"
] | Lu1352/DeepCTR | docs/source/conf.py | 5,046 | Python |
from typing import Optional
import torch
from torch import Tensor
@torch.jit._overload # noqa
def fps(src, batch=None, ratio=None, random_start=True): # noqa
# type: (Tensor, Optional[Tensor], Optional[float], bool) -> Tensor
pass # pragma: no cover
@torch.jit._overload # noqa
def fps(src, batch=None, ... | 33.43662 | 78 | 0.617102 | [
"MIT"
] | Hacky-DH/pytorch_cluster | torch_cluster/fps.py | 2,374 | Python |
import pytest
import click
from click.testing import CliRunner
from click._compat import PY2
# Use the most reasonable io that users would use for the python version.
if PY2:
from cStringIO import StringIO as ReasonableBytesIO
else:
from io import BytesIO as ReasonableBytesIO
def test_runner():
@click.... | 25.810345 | 76 | 0.637609 | [
"BSD-3-Clause"
] | ANKIT-KS/fjord | vendor/packages/click/tests/test_testing.py | 2,994 | Python |
''' SPEECH-TO-TEXT USING MICROSOFT SPEECH API '''
''' nonstoptimm@gmail.com '''
# Import required packages
import os
import glob
import json
import logging
import codecs
import helper as he
import azure.cognitiveservices.speech as speechsdk
import params as pa
# Load and set configuration parameters
pa.get_config()
... | 45.008696 | 131 | 0.701893 | [
"MIT"
] | microsoft/SpeechServices | src/stt.py | 5,176 | Python |
# Generated by Django 3.2.8 on 2021-11-29 09:01
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('budget', '0004_auto_20211125_1330'),
]
operations = [
migrations.DeleteModel(
name='VehicleLog',
),
]
| 17.529412 | 47 | 0.607383 | [
"MIT"
] | MadeleenRoestorff/django_budget | django_budget/budget/migrations/0005_delete_vehiclelog.py | 298 | Python |
#!/usr/bin/env python3
# Copyright 2021 Xiaomi Corp. (authors: Fangjun Kuang
# Mingshuang Luo)
#
# See ../../../../LICENSE for clarification regarding multiple authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use th... | 29.969799 | 79 | 0.632124 | [
"Apache-2.0"
] | aarora8/icefall | egs/librispeech/ASR/tdnn_lstm_ctc/train.py | 17,862 | Python |
from collections import OrderedDict, defaultdict
from typing import Optional, Dict, Tuple, List
import ariadne
from irrd.rpki.status import RPKIStatus
from irrd.rpsl.fields import RPSLFieldListMixin, RPSLTextField, RPSLReferenceField
from irrd.rpsl.rpsl_objects import (lookup_field_names, OBJECT_CLASS_MAPPING, RPSLAu... | 43.822526 | 146 | 0.616745 | [
"BSD-2-Clause"
] | morrowc/irrd | irrd/server/graphql/schema_generator.py | 12,840 | Python |
"""
Argo Workflows API
Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. For more information, please see https://argoproj.github.io/argo-workflows/ # noqa: E501
The version of the OpenAPI document: VERSION
Generated by: https://openapi-g... | 44.007299 | 206 | 0.579366 | [
"Apache-2.0"
] | AnuragThePathak/argo-workflows | sdks/python/client/argo_workflows/model/lifecycle_handler.py | 12,058 | Python |
import grpc
import threading
import proto.connection_pb2_grpc
from libs.core.Log import Log
from libs.core.Switch import Switch
from libs.core.Event import Event
from libs.Configuration import Configuration
class SwitchConnection:
def __init__(self, grpc_address=None):
self.channel = grpc.insecure_channe... | 34.974359 | 158 | 0.674487 | [
"Apache-2.0"
] | qcz994/p4-bier | Controller-Implementation/libs/core/SwitchConnection.py | 1,364 | Python |
from torch import jit
from syft.execution.placeholder import PlaceHolder
from syft.execution.translation.abstract import AbstractPlanTranslator
class PlanTranslatorTorchscript(AbstractPlanTranslator):
"""Performs translation from 'list of ops' Plan into torchscript Plan"""
def __init__(self, plan):
s... | 38.792453 | 95 | 0.664397 | [
"Apache-2.0"
] | NicoSerranoP/PySyft | syft/execution/translation/torchscript.py | 2,056 | Python |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import tornado.gen
import bcrypt
__all__ = ["create_new_user"]
@tornado.gen.coroutine
def get_next_id(db, collection):
counter = yield db.counters.find_and_modify(
{"_id": "{}id".format(collection)},
{"$inc": {"seq": 1}},
new=True,
)
... | 23.703704 | 69 | 0.635938 | [
"MIT"
] | ilkerkesen/trebol | trebol/interface.py | 640 | Python |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import argparse
import sys
import numpy as np
import pandas as pd
def run(args):
data = pd.read_csv(sys.stdin)
# Find maximum rank value and increase by one to use as a fill_value
# on the pivot with cluster by day
# notfound_value = grouped['rank'].max()... | 29.526316 | 76 | 0.564171 | [
"MIT"
] | isabella232/allsongsconsidered-poll | scripts/pivot_cluster_day.py | 1,122 | Python |
import sys
import random
from collections import deque
def printGrid(grid, wallChar, emptyChar):
finalstr = ""
finalstr += "\n"
for i in range(len(grid[0])):
for j in range(len(grid)):
if grid[j][i]==1:
finalstr += wallChar
else:
finalstr += e... | 37.532258 | 150 | 0.572841 | [
"MIT"
] | nmmarzano/CellularCaves.py | cellularcaves.py | 4,658 | Python |
from pools import PoolTest
import eventlet
class EventletPool(PoolTest):
def init_pool(self, worker_count):
return eventlet.GreenPool(worker_count)
def map(self, work_func, inputs):
return self.pool.imap(work_func, inputs)
def init_network_resource(self):
return eventlet.import_p... | 24.785714 | 58 | 0.731988 | [
"MIT"
] | JohnStarich/python-pool-performance | pools/eventlet.py | 347 | Python |
## ********Day 55 Start**********
## Advanced Python Decorator Functions
class User:
def __init__(self, name):
self.name = name
self.is_logged_in = False
def is_authenticated_decorator(function):
def wrapper(*args, **kwargs):
if args[0].is_logged_in == True:
function(args[... | 24.181818 | 50 | 0.667293 | [
"MIT"
] | ecanro/100DaysOfCode_Python | Day_55/sandbox.py | 532 | Python |
import json
def get_text_from_json(file):
with open(file) as f:
json_text = f.read()
text = json.loads(json_text)
return text
content = get_text_from_json('content.json')
test = get_text_from_json('test.json') | 20.083333 | 44 | 0.672199 | [
"MIT"
] | mell-old/echo-bot | json_content.py | 241 | Python |
#!/usr/bin/env python
import io
import sys
from datetime import datetime
# To make sure all packet types are available
import scapy.all # noqa
import scapy.packet
from scapy.layers.l2 import Ether
import pcapng
from pcapng.blocks import EnhancedPacket, InterfaceDescription, SectionHeader
def col256(text, fg=None,... | 28.015209 | 88 | 0.549946 | [
"Apache-2.0"
] | dieter-exc/python-pcapng | examples/dump_pcapng_info_pretty.py | 7,368 | Python |
from tensorflow.keras.callbacks import LambdaCallback
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Activation, LSTM
from tensorflow.keras.layers import Dropout, TimeDistributed
try:
from tensorflow.python.keras.layers import CuDNNLSTM as lstm
except:
from tensorflow.... | 34.733333 | 78 | 0.706974 | [
"MIT"
] | Wowol/Piano-Bot | model.py | 1,563 | Python |
# -*- coding: utf-8 -*-
# Copyright 2013-2021 CERN
#
# 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... | 51.691101 | 289 | 0.600376 | [
"Apache-2.0"
] | bari12/rucio | lib/rucio/core/replica.py | 171,357 | Python |
import mlrose
from mlrose.algorithms.decorators import short_name
from mlrose.runners._runner_base import _RunnerBase
"""
Example usage:
experiment_name = 'example_experiment'
problem = TSPGenerator.generate(seed=SEED, number_of_cities=22)
ga = GARunner(problem=problem,
experiment_name=... | 40.604167 | 118 | 0.623397 | [
"BSD-3-Clause"
] | tadmorgan/mlrose | mlrose/runners/ga_runner.py | 1,949 | Python |
from flask_wtf import FlaskForm
from wtforms import StringField,PasswordField,SubmitField, ValidationError, BooleanField, TextAreaField,SelectField
from wtforms.validators import Required,Email,EqualTo
from ..models import User
class CommentForm(FlaskForm):
comment = TextAreaField('Your comment:', validators=[Requ... | 48.2 | 158 | 0.75657 | [
"MIT"
] | edumorris/pomodoro | app/main/forms.py | 723 | Python |
from django.test import TestCase, override_settings
from wagtail_storages.factories import (
CollectionFactory,
CollectionViewRestrictionFactory,
)
from wagtail_storages.utils import (
get_acl_for_collection,
get_frontend_cache_configuration,
is_s3_boto3_storage_used,
)
class TestIsS3Boto3Storage... | 33.824561 | 87 | 0.693983 | [
"BSD-2-Clause"
] | PetrDlouhy/wagtail-storages | wagtail_storages/tests/test_utils.py | 1,928 | Python |
import numpy as np
import pytest
from sklearn.datasets import make_classification, make_regression
# To use this experimental feature, we need to explicitly ask for it:
from sklearn.experimental import enable_hist_gradient_boosting # noqa
from sklearn.ensemble import HistGradientBoostingRegressor
from sklearn.ensembl... | 40.013514 | 79 | 0.647248 | [
"BSD-3-Clause"
] | KshitizSharmaV/Quant_Platform_Python | lib/python3.6/site-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py | 5,922 | Python |
from .KdfParams import KdfParams
from .CipherParams import CipherParams
class CryptoStruct:
def __init__(
self,
cipher: int,
ciphertext: str,
cipherparams: CipherParams,
kdf: str,
kdfparams: KdfParams,
mac: str,
):
self._cipher = cipher
s... | 22.641975 | 69 | 0.609051 | [
"MIT"
] | coryhill/xchainpy-lib | xchainpy/xchainpy_crypto/xchainpy_crypto/models/CryptoStruct.py | 1,834 | Python |
# coding: utf-8
"""
Control-M Services
Provides access to BMC Control-M Services # noqa: E501
OpenAPI spec version: 9.20.220
Contact: customer_support@bmc.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
class ErrorList(... | 27.486486 | 80 | 0.550967 | [
"MIT"
] | dcompane/controlm_py | controlm_py/models/error_list.py | 3,051 | Python |
# Rainbow 2, by Al Sweigart al@inventwithpython.com
# Shows a simple squiggle rainbow animation.
import time, random, sys
try:
import bext
except ImportError:
print("""This program requires the bext module, which you can install by
opening a Terminal window (on macOS & Linux) and running:
python3 -m pip ... | 22.877551 | 76 | 0.576271 | [
"MIT"
] | skinzor/PythonStdioGames | src/gamesbyexample/rainbow2.py | 1,121 | Python |
'''
Defines the link functions to be used with GLM and GEE families.
'''
import numpy as np
import scipy.stats
FLOAT_EPS = np.finfo(float).eps
class Link(object):
"""
A generic link function for one-parameter exponential family.
`Link` does nothing, but lays out the methods expected of any subclass.
... | 21.986656 | 79 | 0.49082 | [
"BSD-3-Clause"
] | BioGeneTools/statsmodels | statsmodels/genmod/families/links.py | 26,362 | Python |
import numpy as np
class ridge:
""" Ridge estimator.
"""
def __init__(self, lmd=0.1):
self.lmd = lmd
self.hat = None
self.hatn = None
def fit(self, X, y):
if self.hat is None:
G = X.T.dot(X) + self.lmd * np.eye(X.shape[1])
self.hat = np.linal... | 20.831169 | 59 | 0.483791 | [
"BSD-3-Clause"
] | EugeneNdiaye/rootCP | rootcp/models.py | 1,604 | Python |
# qubit number=2
# total number=8
import cirq
import qiskit
from qiskit import IBMQ
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit import BasicAer, execute, transpile
from pprint import pprint
from qiskit.test.mock import FakeVigo
from math import log2,floor, sqrt, pi
import numpy as... | 28.256881 | 80 | 0.620779 | [
"BSD-3-Clause"
] | UCLA-SEAL/QDiff | data/p2DJ/New/program/qiskit/class/startQiskit_Class137.py | 3,080 | Python |
# Created by SylvanasSun in 2017.10.17
# !/usr/bin/python
# -*- coding: utf-8 -*-
import collections
import jieba
from jieba import analyse
# TODO: Change default hash algorithms to the other algorithms of high-performance.
def _default_hashfunc(content, hashbits):
"""
Default hash function is variable-lengt... | 36.190244 | 117 | 0.626365 | [
"MIT"
] | SylvanasSun/code-snippets | algorithms/hash/simhash.py | 7,893 | Python |
# -*- coding: utf-8 -*-
#
# Copyright 2012-2015 Spotify AB
#
# 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... | 34.411576 | 100 | 0.611942 | [
"Apache-2.0"
] | Ali-Tahir/luigi | luigi/contrib/scalding.py | 10,702 | Python |
import hugectr
solver = hugectr.CreateSolver(max_eval_batches = 1,
batchsize_eval = 4096,
batchsize = 64,
lr = 0.001,
vvgpu = [[0,1]],
repeat_dataset = True,
... | 58.568862 | 134 | 0.510991 | [
"Apache-2.0"
] | Chunshuizhao/HugeCTR | test/pybind_test/din_fp32_2gpu.py | 9,781 | Python |
"""
file system and database initialization.
tables:
- polls:
- id PRIMARY KEY
- owner_id => users.id
- topic
- users:
- id PRIMARY KEY
- first_name
- last_name
- username
- answers:
- id PRIMARY KEY
- poll_id => polls.id
- text
- votes:
- user_id => users.id
- poll_id => polls.id
- answer... | 19.315789 | 62 | 0.679382 | [
"MIT"
] | ratijas/multi_vote_bot | src/app/fs.py | 1,101 | Python |
# -*- coding: UTF-8 -*-
import os # File and path handling
import numpy
import copy # for deepcopy
import math
from .image import ImageFile, Image, ImageROI, ImageStack
from .geometry import Geometry
from .processing.pipeline import Pipeline
from .processing.step import Step
from .helpers import *
d... | 30.943662 | 119 | 0.631771 | [
"Apache-2.0"
] | BAMresearch/ctsimu-toolbox | ctsimu/test.py | 2,197 | Python |
from ._abstract import AbstractScraper
from ._utils import get_minutes, normalize_string, get_yields
class SimplyQuinoa(AbstractScraper):
@classmethod
def host(self):
return 'simplyquinoa.com'
def title(self):
return self.soup.find(
'h2',
{'class': 'wprm-recipe-na... | 24.694915 | 61 | 0.533288 | [
"MIT"
] | PatrickPierce/recipe-scrapers | recipe_scrapers/simplyquinoa.py | 1,457 | Python |
"""
Custom dataset processing/generation functions should be added to this file
"""
import pathlib
from sklearn.datasets import fetch_20newsgroups
from functools import partial
from src import workflow, paths
from src.log import logger
import src.log.debug
from tqdm.auto import tqdm
from .. import paths
from ..log ... | 25.423729 | 94 | 0.662667 | [
"MIT"
] | acwooding/docmap_playground | src/data/process_functions.py | 1,500 | Python |
#!/usr/bin/python
# Copyright (c) 2017, 2021 Oracle and/or its affiliates.
# This software is made available to you under the terms of the GPL 3.0 license or the Apache 2.0 license.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# Apache License v2.0
# See LICENSE.TXT for d... | 41.237333 | 159 | 0.620215 | [
"Apache-2.0"
] | hanielburton/oci-ansible-collection | plugins/modules/oci_vault_secret_actions.py | 15,464 | Python |
import os
import sys
import json
from .version import __version__
from satsearch import Search
from satstac import Items
from satsearch.parser import SatUtilsParser
import satsearch.config as config
def main(items=None, printmd=None, printcal=False, found=False,
save=None, download=None, requestor_pays=Fals... | 27.3 | 113 | 0.628467 | [
"MIT"
] | lishrimp/sat-search | satsearch/main.py | 1,911 | Python |
from argparse import ArgumentParser
import datetime
import dateutil
import sys, re
from os import path
def parseArgs():
parser = ArgumentParser(add_help=False)
parser.add_argument("-a", "--action", help="Please select an option out of <discover, manage, settings>", type=str, required=True)
parser.add_argum... | 49.877193 | 145 | 0.616426 | [
"Apache-2.0"
] | lif22/tmpm_pipeline | stages/utils/utils.py | 5,686 | Python |
__author__ = 'igor'
| 10 | 19 | 0.7 | [
"MIT"
] | igorcoding/os-simulation | src/gui/__init__.py | 20 | Python |
#!/usr/bin/env python3.8
import importlib
import typing
from enum import Enum
import discord
from discord.ext import commands
from discord.types.interactions import ApplicationCommandOption
import common.paginator as paginator
import common.star_classes as star_classes
import common.utils as utils
class OwnerCMDs(c... | 33.838028 | 108 | 0.594173 | [
"MPL-2.0",
"MPL-2.0-no-copyleft-exception"
] | Astrea49/Seraphim-Bot | cogs/core/cmds/owner_cmds.py | 4,805 | Python |
# Copyright (c) 2015-2016, 2018, 2020 Claudiu Popa <pcmanticore@gmail.com>
# Copyright (c) 2016 Ceridwen <ceridwenv@gmail.com>
# Copyright (c) 2020 hippo91 <guillaume.peillex@gmail.com>
# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
# For details: https://github.com/PyCQA/astroid... | 28.886076 | 85 | 0.678791 | [
"MIT"
] | Nucl3arSn3k/randomplushmiku | venv/Lib/site-packages/astroid/brain/brain_nose.py | 2,282 | Python |
from bridge.deploy.sagemaker import SageMakerDeployTarget
DEPLOY_REGISTRY = {"sagemaker": SageMakerDeployTarget}
| 23 | 57 | 0.843478 | [
"Apache-2.0"
] | jfdesroches/domino-research | bridge/bridge/deploy/registry.py | 115 | Python |
# Lint as: python3
# Copyright 2020 The DMLab2D Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 35.031746 | 79 | 0.686905 | [
"Apache-2.0"
] | LaudateCorpus1/lab2d | dmlab2d/settings_helper.py | 2,207 | Python |
def init(id, cfg):
log_info("pythonmod: init called, module id is %d port: %d script: %s" % (id, cfg.port, cfg.python_script))
return True
def init_standard(id, env):
log_info("pythonmod: init called, module id is %d port: %d script: %s" % (id, env.cfg.port, env.cfg.python_script))
return True
def deinit(... | 29.815789 | 118 | 0.68579 | [
"BSD-3-Clause"
] | Berbe/unbound | pythonmod/doc/examples/example0-1.py | 1,133 | Python |
import os
import numpy as np
import scipy.sparse as sp
import pickle
import torch
from torch.utils.data import DataLoader
from dgl.data.utils import download, _get_dgl_url, get_download_dir, extract_archive
import random
import time
import dgl
def ReadTxtNet(file_path="", undirected=True):
""" Read the txt network... | 33.523585 | 113 | 0.555649 | [
"Apache-2.0"
] | IzabelaMazur/dgl | examples/pytorch/ogb/line/reading_data.py | 7,107 | Python |
"""Tests for the DirecTV component."""
from http import HTTPStatus
from homeassistant.components.directv.const import CONF_RECEIVER_ID, DOMAIN
from homeassistant.components.ssdp import ATTR_SSDP_LOCATION
from homeassistant.const import CONF_HOST, CONTENT_TYPE_JSON
from homeassistant.core import HomeAssistant
from tes... | 31.603175 | 75 | 0.668257 | [
"Apache-2.0"
] | 2Fake/core | tests/components/directv/__init__.py | 3,982 | Python |
from random import shuffle
from models.RainbowModelLeaveRecsOut import RainbowModelLeaveRecsOut
from tensorflow.keras.layers import Conv1D, MaxPooling1D, Flatten, Dense, Dropout # type: ignore
from tensorflow.keras.models import Sequential # type: ignore
import numpy as np
from utils.Recording import Recording
from ... | 33.311475 | 102 | 0.628937 | [
"MIT"
] | Sensors-in-Paradise/OpportunityML | archive/model_archive/ConvModel.py | 2,032 | Python |
from rest_framework import serializers
from gestion.models.providerOrder import ProviderOrder
from auth_app.serializers.userSerializer import UserSerializer
from gestion.serializers.providerSerializer import ProviderSerializer
from auth_app.models.user import User
from gestion.models.provider import Provider... | 34.605263 | 88 | 0.742205 | [
"MIT"
] | JetLightStudio/Jet-Gest-stock-management | server/gestion/serializers/providerOrderSerializer.py | 1,315 | Python |
import json
from django.contrib.messages.storage.base import BaseStorage
from django.contrib.messages.storage.cookie import (
MessageDecoder, MessageEncoder,
)
from django.utils import six
class SessionStorage(BaseStorage):
"""
Stores messages in the session (that is, django.contrib.sessions).
"""
... | 34.979592 | 90 | 0.65811 | [
"BSD-3-Clause"
] | Acidburn0zzz/django | django/contrib/messages/storage/session.py | 1,714 | Python |
from django.contrib import admin
# Register your models here.
from account.models import UserProfile
from blog.models import BlogArticles
class BlogArticlesAdmin(admin.ModelAdmin):
list_display = ("title", "author", "publish")
list_filter = ("publish", "author")
search_fields = ("title", "body")
raw_... | 24.615385 | 52 | 0.715625 | [
"MIT"
] | jinjf553/mysite | blog/admin.py | 640 | Python |
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'yatube.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you sure it's installed and "
... | 25.857143 | 73 | 0.672192 | [
"BSD-2-Clause"
] | LazarevaKate/hw02_community | yatube/manage.py | 543 | Python |
from typing import Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from kornia.constants import pi
__all__ = [
# functional api
"rad2deg",
"deg2rad",
"pol2cart",
"cart2pol",
"convert_points_from_homogeneous",
"convert_points_to_homogeneous",
"convert_affinematr... | 35.379854 | 126 | 0.618941 | [
"ECL-2.0",
"Apache-2.0"
] | anthonytec2/kornia | kornia/geometry/conversions.py | 29,153 | Python |
#!/usr/bin/env python3
# In this example, we demonstrate how Korali samples the posterior distribution
# in a bayesian problem where the likelihood is calculated by providing
# reference data points and their objective values.
# Importing the computational model
import sys
sys.path.append('./_model')
from model impor... | 33.381818 | 96 | 0.712418 | [
"MIT"
] | JonathanLehner/korali | examples/bayesian.inference/reference/run-nested.py | 1,836 | Python |
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