xszheng2020/the_stack_dedup_python_hits_2 · Datasets at Hugging Face

1207575defc5d03469e62a79d6627247fbf73ef2

108

py

Python

teampy/__init__.py

arcward/teampy

34097dfca2cf6eb2a405ff0346b46e7ab9520444

[ "MIT" ]

null

teampy/__init__.py

arcward/teampy

34097dfca2cf6eb2a405ff0346b46e7ab9520444

[ "MIT" ]

null

teampy/__init__.py

arcward/teampy

34097dfca2cf6eb2a405ff0346b46e7ab9520444

[ "MIT" ]

null

from teampy.client import APIClient __version__ = '0.1' __author__ = 'Edward Wells' __all__ = ['APIClient']

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1222227113bac1587e2d7de9daa11d0c8149596e

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py

Python

wildlifecompliance/migrations/0431_merge_20200218_1801.py

preranaandure/wildlifecompliance

bc19575f7bccf7e19adadbbaf5d3eda1d1aee4b5

[ "Apache-2.0" ]

1

2020-12-07T17:12:40.000Z

wildlifecompliance/migrations/0431_merge_20200218_1801.py

preranaandure/wildlifecompliance

bc19575f7bccf7e19adadbbaf5d3eda1d1aee4b5

[ "Apache-2.0" ]

14

2020-01-08T08:08:26.000Z

2021-03-19T22:59:46.000Z

wildlifecompliance/migrations/0431_merge_20200218_1801.py

preranaandure/wildlifecompliance

bc19575f7bccf7e19adadbbaf5d3eda1d1aee4b5

[ "Apache-2.0" ]

15

2020-01-08T08:02:28.000Z

2021-11-03T06:48:32.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.10.8 on 2020-02-18 10:01 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('wildlifecompliance', '0430_briefofevidencedocument'), ('wildlifecompliance', '0427_merge_20200214_1614'), ] operations = [ ]

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1223017e27fe3759d3dd4b76699ecf7642b1cb0c

112

py

Python

Term2/15-5-square-for-input.py

theseana/apondaone

7cbf3572a86c73220329804fee1f3d03842ae902

[ "MIT" ]

null

Term2/15-5-square-for-input.py

theseana/apondaone

7cbf3572a86c73220329804fee1f3d03842ae902

[ "MIT" ]

null

Term2/15-5-square-for-input.py

theseana/apondaone

7cbf3572a86c73220329804fee1f3d03842ae902

[ "MIT" ]

null

import turtle as t zel = float(input("What is your Zel: ")) for i in range(4): t.fd(zel) t.lt(90) t.done()

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122ae92db8c0fba7f33754fcbab35f9e25571cce

1,032

py

Python

rsp2/src/python/rsp2/io/structure_dir.py

colin-daniels/agnr-ml

fc936cb8b6a68c37dfaf64c74796e0cf795c1bb8

[ "MIT" ]

null

rsp2/src/python/rsp2/io/structure_dir.py

colin-daniels/agnr-ml

fc936cb8b6a68c37dfaf64c74796e0cf795c1bb8

[ "MIT" ]

null

rsp2/src/python/rsp2/io/structure_dir.py

colin-daniels/agnr-ml

fc936cb8b6a68c37dfaf64c74796e0cf795c1bb8

[ "MIT" ]

null

import json import os from pymatgen.io.vasp import Poscar def from_path(path): # TODO: should maybe support .tar.gz or .tar.xz return StructureDir.from_dir(path) class StructureDir: def __init__(self, *, layers, masses, layer_sc_matrices, structure): self.layers = layers self.masses = masses self.layer_sc_matrices = layer_sc_matrices self.structure = structure @classmethod def from_dir(cls, path): structure = Poscar.from_file(os.path.join(path, 'POSCAR')).structure with open(os.path.join(path, 'meta.json')) as f: meta = json.load(f) layer_sc_matrices = meta.pop('layer_sc_matrices', None) or meta.pop('layer-sc-matrices', None) if layer_sc_matrices: layer_sc_matrices = [x['matrix'] for x in layer_sc_matrices] return cls( layers=meta.pop('layers', None), masses=meta.pop('masses', None), layer_sc_matrices=layer_sc_matrices, structure=structure, )

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123cdad2272e052e427dddd3ee2cb08bee5b4d82

573

py

Python

dracoon/public_models.py

Quirinwierer/dracoon-python-api

7fad8cdb95069fb80069e76c740547f3ad02b910

[ "Apache-2.0" ]

3

2020-10-05T14:34:46.000Z

2020-11-27T07:44:57.000Z

dracoon/public_models.py

Quirinwierer/dracoon-python-api

7fad8cdb95069fb80069e76c740547f3ad02b910

[ "Apache-2.0" ]

1

2022-02-15T16:01:12.000Z

dracoon/public_models.py

Quirinwierer/dracoon-python-api

7fad8cdb95069fb80069e76c740547f3ad02b910

[ "Apache-2.0" ]

1

2021-03-04T08:16:07.000Z

from dataclasses import dataclass from typing import List @dataclass class SystemInfo: languageDefault: str hideLoginPinputFields: bool s3Hosts: List[str] s3EnforceDirectUpload: bool useS3Storage: bool @dataclass class ActiveDirectoryInfoItem: id: int alias: str isGlobalAvailable: bool @dataclass class ActiveDirectoryInfo: items: List[ActiveDirectoryInfoItem] @dataclass class OpenIdInfoItem: id: int issuer: str alias: str isGlobalAvailable: bool @dataclass class OpenIdInfo: items: List[OpenIdInfoItem]

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123fd7b7b9f4d286bd20d4bce4dab814f4d0a36c

254

py

Python

Fibonacci.py

Eziowrf/project555

a8c883b55186f59d7fe1d953c404522a17985f98

[ "MIT" ]

1

2019-07-21T06:05:09.000Z

Fibonacci.py

Eziowrf/project555

a8c883b55186f59d7fe1d953c404522a17985f98

[ "MIT" ]

5

2018-09-21T01:15:26.000Z

2018-09-26T18:37:32.000Z

Fibonacci.py

Eziowrf/project555

a8c883b55186f59d7fe1d953c404522a17985f98

[ "MIT" ]

1

2018-09-23T15:57:26.000Z

# Yunfan Ye 10423172 def Fibonacci(n): if n == 1: return 1 elif n == 2: return 1 else: return Fibonacci(n - 1) + Fibonacci(n - 2) # arr = [1,2,3,4,5,6,7,8,9,10] # for i in arr: # print(Fibonacci(i))

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124a1d7c7ee9fa6fc3a3d429e6d76f675fb7017f

227

py

Python

src/utils/url_path.py

FP-DataSolutions/DeltaWarehouse

2c57e6176d9461a287ee925f9006fdfef8da5653

[ "Apache-2.0" ]

6

2020-06-18T13:31:53.000Z

2021-09-12T20:27:26.000Z

src/utils/url_path.py

FP-DataSolutions/DeltaWarehouse

2c57e6176d9461a287ee925f9006fdfef8da5653

[ "Apache-2.0" ]

null

src/utils/url_path.py

FP-DataSolutions/DeltaWarehouse

2c57e6176d9461a287ee925f9006fdfef8da5653

[ "Apache-2.0" ]

1

2021-04-03T16:56:38.000Z

class UrlPath: @staticmethod def combine(*args): result = '' for path in args: result += path if path.endswith('/') else '{}/'.format(path) #result = result[:-1] return result

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1254d16c4e176a58c1a20487d3f11f36c8056c00

256

py

Python

tests/i18n/patterns/urls/path_unused.py

webjunkie/django

5dbca13f3baa2e1bafd77e84a80ad6d8a074712e

[ "BSD-3-Clause" ]

790

2015-01-03T02:13:39.000Z

2020-05-10T19:53:57.000Z

AppServer/lib/django-1.5/tests/regressiontests/i18n/patterns/urls/path_unused.py

nlake44/appscale

6944af660ca4cb772c9b6c2332ab28e5ef4d849f

[ "Apache-2.0" ]

1,361

2015-01-08T23:09:40.000Z

2020-04-14T00:03:04.000Z

AppServer/lib/django-1.5/tests/regressiontests/i18n/patterns/urls/path_unused.py

nlake44/appscale

6944af660ca4cb772c9b6c2332ab28e5ef4d849f

[ "Apache-2.0" ]

155

2015-01-08T22:59:31.000Z

2020-04-08T08:01:53.000Z

from django.conf.urls import url from django.conf.urls import patterns from django.views.generic import TemplateView view = TemplateView.as_view(template_name='dummy.html') urlpatterns = patterns('', url(r'^nl/foo/', view, name='not-translated'), )

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12597459b30dbd3bd8a1d404996a35025ae53e68

196

py

Python

app/api/__init__.py

correaleyval/Telezon-S3

1a6de581c73f7b2391207bfd717f0dfc42de0223

[ "MIT" ]

12

2021-03-18T20:42:19.000Z

2021-06-08T18:43:05.000Z

app/api/__init__.py

luiscib3r/Telezon-S3

1a6de581c73f7b2391207bfd717f0dfc42de0223

[ "MIT" ]

1

2021-03-19T14:08:51.000Z

2021-03-19T23:09:55.000Z

app/api/__init__.py

luiscib3r/Telezon-S3

1a6de581c73f7b2391207bfd717f0dfc42de0223

[ "MIT" ]

1

2021-04-11T04:35:14.000Z

from fastapi import APIRouter from app.api.auth import router as auth from app.api.v1 import router as v1 router = APIRouter(prefix='/api') router.include_router(auth) router.include_router(v1)

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126a9e516f4b1e45a50ac7e8798792874a6e0626

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py

Python

tests/test_memory.py

Lewuathe/algernon

23d3aef69d701ddd33cd90451ec8738032396430

[ "MIT" ]

null

tests/test_memory.py

Lewuathe/algernon

23d3aef69d701ddd33cd90451ec8738032396430

[ "MIT" ]

null

tests/test_memory.py

Lewuathe/algernon

23d3aef69d701ddd33cd90451ec8738032396430

[ "MIT" ]

null

from algernon.memory import Memory import pytest import numpy as np from keras.models import Sequential from keras.layers.core import Dense from keras.optimizers import sgd class MockModel: def __init__(self, output_dims, input_dims): self.w = np.random.random(size=(output_dims, input_dims)) def predict(self, X): return np.dot(X, self.w.T) def predict_proba(self, X): return self.predict(X) class TestMemory: TEST_OBSERVATION_SHAPE = (4, 2) TEST_ACTION_DIMS = 3 TEST_GAMMA = 0.3 TEST_MAX_MEMORY = 1000 def test_init_values(self): m = Memory(TestMemory.TEST_OBSERVATION_SHAPE, TestMemory.TEST_ACTION_DIMS, TestMemory.TEST_GAMMA, TestMemory.TEST_MAX_MEMORY) assert m.observation_shape == TestMemory.TEST_OBSERVATION_SHAPE assert m.action_dims == TestMemory.TEST_ACTION_DIMS assert len(m.memories) == 0 assert m.max_memory == TestMemory.TEST_MAX_MEMORY def test_observation_dims(self): ret = Memory.get_observation_dims(TestMemory.TEST_OBSERVATION_SHAPE) # 4 * 2 assert ret == 8 def test_append(self): m = Memory(TestMemory.TEST_OBSERVATION_SHAPE, TestMemory.TEST_ACTION_DIMS, TestMemory.TEST_GAMMA, TestMemory.TEST_MAX_MEMORY) s = np.random.random(size=TestMemory.TEST_OBSERVATION_SHAPE) s_prime = np.random.random(size=TestMemory.TEST_OBSERVATION_SHAPE) m.append(s, 1, 0.2, s_prime, False) assert len(m.memories) == 1 def test_get_batch(self): m = Memory(TestMemory.TEST_OBSERVATION_SHAPE, TestMemory.TEST_ACTION_DIMS, TestMemory.TEST_GAMMA, TestMemory.TEST_MAX_MEMORY) for _ in range(10): s = np.random.random(size=TestMemory.TEST_OBSERVATION_SHAPE).flatten() a = np.random.randint(TestMemory.TEST_ACTION_DIMS) r = np.random.random(size=1)[0] s_prime = np.random.random(size=TestMemory.TEST_OBSERVATION_SHAPE).flatten() m.append(s, a, r, s_prime, False) assert len(m.memories) == 10 X, y = m.get_batch(MockModel(3, 8), 3) assert X.shape[0] == y.shape[0] == 3 assert X.shape[1] == 8 assert y.shape[1] == 3

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1271a5b636e4e2a4b34227856118cd1f4633a6d6

872

py

Python

models.py

harmonyinnovationhub/project-beta

f98a08972ffb9c01123aa4849dc06a8b0beec171

[ "MIT" ]

null

models.py

harmonyinnovationhub/project-beta

f98a08972ffb9c01123aa4849dc06a8b0beec171

[ "MIT" ]

null

models.py

harmonyinnovationhub/project-beta

f98a08972ffb9c01123aa4849dc06a8b0beec171

[ "MIT" ]

null

from core import app from flask_sqlalchemy import SQLAlchemy from flask_migrate import Migrate db = SQLAlchemy(app) migrate = Migrate(app, db) # user table class User(db.Model): id = db.Column(db.Integer, primary_key=True) token = db.Column(db.String(50), unique=True) name = db.Column(db.String(50)) password = db.Column(db.String(128)) admin = db.Column(db.Boolean) class LogLag(db.Model): id = db.Column(db.Integer, primary_key=True) logitude = db.Column(db.Float(128)) latitude = db.Column(db.Float(128)) def __init__(self, logitude, latitude): self.logitude = logitude self.latitude = latitude class Upload(db.Model): id = db.Column(db.Integer, primary_key=True) file = db.Column(db.Text, nullable=False) name = db.Column(db.Text, nullable=False) mimetype = db.Column(db.Text, nullable=False)

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1

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2

89c3edf7f3339956ac7cca062ad64b1b9a40814b

1,457

py

Python

setup.py

BCD65/electricityLoadForecasting

07a6ed060afaf7cc2906c0389b5c9e9b0fede193

[ "MIT" ]

null

setup.py

BCD65/electricityLoadForecasting

07a6ed060afaf7cc2906c0389b5c9e9b0fede193

[ "MIT" ]

null

setup.py

BCD65/electricityLoadForecasting

07a6ed060afaf7cc2906c0389b5c9e9b0fede193

[ "MIT" ]

null

import setuptools from distutils.core import setup setup( name = 'electricityLoadForecasting', version = '0.1.dev0', packages = setuptools.find_packages(), scripts = ['scripts/main_forecasting.py', 'scripts/preprocessing_eCO2mix.py', ], author = 'Ben', author_email = 'bcd6591[at]gmail.com', license = 'MIT License', long_description = open('README.txt').read(), python_requires = ">= 3.6", install_requires = [ 'astral==1.2', 'chardet', 'cvxpy', 'datetime', 'h5py', 'ipdb', 'matplotlib', 'numpy', 'pandas', 'prox_tv', 'pytz', 'scikit-learn', 'scipy', 'seaborn', 'termcolor', 'tzlocal', 'unidecode', #'openblas', #'sklearn-contrib-py-earth', #'spams', #'rpy2', #'xgboost', ], )

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89c56780209adbe0387cf368029ab9a32fd8735c

377

py

Python

sound_play/scripts/test/test_sound_client.py

iory/audio_common

1db0394dcef452b93474665ee902ab80c3e7e439

[ "BSD-3-Clause" ]

742

2017-07-05T02:49:36.000Z

2022-03-30T12:55:43.000Z

sound_play/scripts/test/test_sound_client.py

iory/audio_common

1db0394dcef452b93474665ee902ab80c3e7e439

[ "BSD-3-Clause" ]

124

2015-06-25T22:52:21.000Z

2022-02-28T15:02:23.000Z

sound_play/scripts/test/test_sound_client.py

iory/audio_common

1db0394dcef452b93474665ee902ab80c3e7e439

[ "BSD-3-Clause" ]

425

2017-07-04T22:03:29.000Z

2022-03-29T06:59:06.000Z

#!/usr/bin/env python import unittest import rospy import rostest from sound_play.libsoundplay import SoundClient class TestCase(unittest.TestCase): def test_soundclient_constructor(self): s = SoundClient() self.assertIsNotNone(s) if __name__ == '__main__': rostest.rosrun('sound_play', 'test_sound_client', TestCase) __author__ = 'Felix Duvallet'

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89d29a1fa605d5be215d81daea59d7f25ded9268

6,239

py

Python

src/utils/testing_utils.py

rluiseugenio/dpa_rita

4da52a103b455c97d7f3bc6253f1c455c340dfc4

[ "MIT" ]

null

src/utils/testing_utils.py

rluiseugenio/dpa_rita

4da52a103b455c97d7f3bc6253f1c455c340dfc4

[ "MIT" ]

10

2020-05-06T14:30:44.000Z

2022-03-12T00:33:00.000Z

src/utils/testing_utils.py

rluiseugenio/dpa_rita

4da52a103b455c97d7f3bc6253f1c455c340dfc4

[ "MIT" ]

6

2020-04-15T04:30:36.000Z

2020-10-23T16:02:24.000Z

#python -m marbles test_semantic_columns.py import unittest from marbles.mixins import mixins import pandas as pd import requests from pyspark.sql import SparkSession import psycopg2 as pg import pandas as pd import marbles from pyspark.sql.types import StructType, StructField, StringType import psycopg2 as pg #from src.features.build_features import crear_features from src import( MY_USER, MY_PASS, MY_HOST, MY_PORT, MY_DB, ) def get_clean_data_test(): clean_rita = StructType([StructField('year', StringType(), True), StructField('quarter', StringType(), True), StructField('month', StringType(), True), StructField('dayofmonth', StringType(), True), StructField('dayofweek', StringType(), True), StructField('flightdate', StringType(), True), StructField('reporting_airline', StringType(), True), StructField('dot_id_reporting_airline', StringType(), True), StructField('iata_code_reporting_airline', StringType(), True), StructField('tail_number', StringType(), True), StructField('flight_number_reporting_airline', StringType(), True), StructField('originairportid', StringType(), True), StructField('originairportseqid', StringType(), True), StructField('origincitymarketid', StringType(), True), StructField('origin', StringType(), True), StructField('origincityname', StringType(), True), StructField('originstate', StringType(), True), StructField('originstatefips', StringType(), True), StructField('originstatename', StringType(), True), StructField('originwac', StringType(), True), StructField('destairportid', StringType(), True), StructField('destairportseqid', StringType(), True), StructField('destcitymarketid', StringType(), True), StructField('dest', StringType(), True), StructField('destcityname', StringType(), True), StructField('deststate', StringType(), True), StructField('deststatefips', StringType(), True), StructField('deststatename', StringType(), True), StructField('destwac', StringType(), True), StructField('crsdeptime', StringType(), True), StructField('deptime', StringType(), True), StructField('depdelay', StringType(), True), StructField('depdelayminutes', StringType(), True), StructField('depdel15', StringType(), True), StructField('departuredelaygroups', StringType(), True), StructField('deptimeblk', StringType(), True), StructField('taxiout', StringType(), True), StructField('wheelsoff', StringType(), True), StructField('wheelson', StringType(), True), StructField('taxiin', StringType(), True), StructField('crsarrtime', StringType(), True), StructField('arrtime', StringType(), True), StructField('arrdelay', StringType(), True), StructField('arrdelayminutes', StringType(), True), StructField('arrdel15', StringType(), True), StructField('arrivaldelaygroups', StringType(), True), StructField('arrtimeblk', StringType(), True), StructField('cancelled', StringType(), True), StructField('diverted', StringType(), True), StructField('crselapsedtime', StringType(), True), StructField('actualelapsedtime', StringType(), True), StructField('airtime', StringType(), True), StructField('flights', StringType(), True), StructField('distance', StringType(), True), StructField('distancegroup', StringType(), True), StructField('divairportlandings', StringType(), True), StructField('rangoatrasohoras', StringType(), True) ]) config_psyco = "host='{0}' dbname='{1}' user='{2}' password='{3}'".format(MY_HOST,MY_DB,MY_USER,MY_PASS) connection = pg.connect(config_psyco) pdf = pd.read_sql_query('select * from clean.rita limit 1;',con=connection) spark = SparkSession.builder.config('spark.driver.extraClassPath', 'postgresql-9.4.1207.jar').getOrCreate() df = spark.createDataFrame(pdf, schema=clean_rita) return df def crear_features_test(base): from pyspark.sql import functions as f base = base.withColumn('findesemana', f.when(f.col('dayofweek') == 5, 1).when(f.col('dayofweek') == 6, 1).when(f.col('dayofweek') == 7, 1).otherwise(0)) base = base.withColumn('quincena', f.when(f.col('dayofmonth') == 15, 1).when(f.col('dayofmonth') == 14, 1).when(f.col('dayofmonth') == 16, 1).when(f.col('dayofmonth') == 29, 1).when(f.col('dayofmonth') == 30, 1).when(f.col('dayofmonth') == 31, 1).when(f.col('dayofmonth') == 1, 1).when(f.col('dayofmonth') == 2, 1).when(f.col('dayofmonth') == 3, 1).otherwise(0)) base = base.withColumn('dephour', f.when(f.col('dayofweek') == 5, 1).otherwise(0)) base = base.withColumn('seishoras', f.when(f.col('dephour') == 6, 1).when(f.col('dephour') == 12, 1).when(f.col('dephour') == 18, 1).when(f.col('dephour') == 0, 1).otherwise(0)) return base

58.858491

366

0.536624

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6,239

6.395753

0.297297

0.240869

0.422578

0.035315

0.172351

0.038032

0.012074

0

0.015047

0.328899

6,239

105

367

59.419048

0.776212

0.015387

0

0.044944

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0.163003

0.021495

0

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0.022472

false

0.022472

0.134831

0

0.179775

0

null

1

0

null

0

2

89d312b14f6d96924f16b029fd0ee12233883f44

6,572

py

Python

polygon.py

darinamazur/Math-modeling-

8de5913fd8314dc51641700c9a1088c6f34fd2a3

[ "MIT" ]

null

polygon.py

darinamazur/Math-modeling-

8de5913fd8314dc51641700c9a1088c6f34fd2a3

[ "MIT" ]

null

polygon.py

darinamazur/Math-modeling-

8de5913fd8314dc51641700c9a1088c6f34fd2a3

[ "MIT" ]

null

import math class polygon: def __init__(self, arr): self.original_arr = arr self.size = len(self.original_arr) self.__set_min_max_by_original__() self.__refactor_original_seq__() self.sorted_arr.append(self.sorted_arr[0]) self.size += 1 def __set_min_max_by_original__(self): self.x_min_ind = 0 self.x_max_ind = 0 self.y_min_ind = 0 self.y_max_ind = 0 for i in range(1, self.size): if self.original_arr[i][0] > self.original_arr[self.x_max_ind][0]: self.x_max_ind = i if self.original_arr[i][0] < self.original_arr[self.x_min_ind][0]: self.x_min_ind = i if self.original_arr[i][1] > self.original_arr[self.y_max_ind][1]: self.y_max_ind = i if self.original_arr[i][1] < self.original_arr[self.y_min_ind][1]: self.y_min_ind = i def __refactor_original_seq__(self): self.sorted_arr = [] for i in range(self.x_min_ind, self.size): self.sorted_arr.append(self.original_arr[i]) for i in range(0, self.x_min_ind): self.sorted_arr.append(self.original_arr[i]) self.x_max_ind = (self.x_max_ind - self.x_min_ind) % self.size self.y_max_ind = (self.y_max_ind - self.x_min_ind) % self.size self.y_min_ind = (self.y_min_ind - self.x_min_ind) % self.size self.x_min_ind = 0 def __equal__(x1, x2): return abs(x1 - x2) < 1E-4 def get_top_border(self, x): if polygon.__equal__(x, self.sorted_arr[self.x_max_ind][0]): if polygon.__equal__(self.sorted_arr[self.x_max_ind][0], self.sorted_arr[self.x_max_ind + 1][0]): return max(self.sorted_arr[self.x_max_ind][1], self.sorted_arr[self.x_max_ind + 1][1]) else: return self.sorted_arr[self.x_max_ind][1] if polygon.__equal__(x, self.sorted_arr[self.x_min_ind][0]): if polygon.__equal__(self.sorted_arr[self.x_min_ind][0], self.sorted_arr[self.x_min_ind + 1][0]): return max(self.sorted_arr[self.x_min_ind][1], self.sorted_arr[self.x_min_ind + 1][1]) else: return self.sorted_arr[self.x_min_ind][1] for i in range(self.x_min_ind, self.x_max_ind): if x >= self.sorted_arr[i][0] and x < self.sorted_arr[i + 1][0]: if self.sorted_arr[i][0] != self.sorted_arr[i + 1][0]: x1 = self.sorted_arr[i][0] x2 = self.sorted_arr[i + 1][0] y1 = self.sorted_arr[i][1] y2 = self.sorted_arr[i + 1][1] return y1 + (x - x1) * (y2 - y1) / (x2 - x1) else: return max(self.sorted_arr[i][1], self.sorted_arr[i + 1][1]) exit(3) def get_bottom_border(self, x): if polygon.__equal__(x, self.sorted_arr[self.x_max_ind][0]): if polygon.__equal__(self.sorted_arr[self.x_max_ind][0], self.sorted_arr[self.x_max_ind + 1][0]): return min(self.sorted_arr[self.x_max_ind][1], self.sorted_arr[self.x_max_ind + 1][1]) else: return self.sorted_arr[self.x_max_ind][1] if polygon.__equal__(x, self.sorted_arr[self.x_min_ind][0]): if polygon.__equal__(self.sorted_arr[self.x_min_ind][0], self.sorted_arr[self.x_min_ind + 1][0]): return min(self.sorted_arr[self.x_min_ind][1], self.sorted_arr[self.x_min_ind + 1][1]) else: return self.sorted_arr[self.x_min_ind][1] for i in range(self.x_max_ind, self.size - 1): if x < self.sorted_arr[i][0] and x >= self.sorted_arr[i + 1][0]: if self.sorted_arr[i][0] != self.sorted_arr[i + 1][0]: x1 = self.sorted_arr[i][0] x2 = self.sorted_arr[i + 1][0] y1 = self.sorted_arr[i][1] y2 = self.sorted_arr[i + 1][1] return y1 + (x - x1) * (y2 - y1) / (x2 - x1) else: return min(self.sorted_arr[i][1], self.sorted_arr[i + 1][1]) exit(3) def get_x_min(self): return self.sorted_arr[self.x_min_ind][0] def get_x_max(self): return self.sorted_arr[self.x_max_ind][0] def get_y_min(self): return self.sorted_arr[self.y_min_ind][1] def get_y_max(self): return self.sorted_arr[self.y_max_ind][1] def get_contour_length(self): res = 0 for i in range(0, self.size - 1): res += math.sqrt((self.sorted_arr[i][0] - self.sorted_arr[i + 1][0]) ** 2 + (self.sorted_arr[i][1] - self.sorted_arr[i + 1][1]) ** 2) return res def get_contour_sequence(self, dpi=10): # returns 2d-array with 1-dimension length same as points in array, # second dimension have length 3, contains x, y, multiplier constant n = math.ceil(self.get_contour_length() * dpi) res_arr = [] for i in range(0, self.size - 1): x_cur = self.sorted_arr[i][0] x_next = self.sorted_arr[i + 1][0] y_cur = self.sorted_arr[i][1] y_next = self.sorted_arr[i + 1][1] if not polygon.__equal__(x_cur, x_next): y_x = lambda x: y_cur + (x - x_cur) * (y_next - y_cur) / (x_next - x_cur) section_length = math.sqrt((x_next - x_cur) ** 2 + (y_next - y_cur) ** 2) n = math.ceil(section_length * dpi) if n != 0: step_x = (x_next - x_cur) / float(n) step_len = section_length / float(n) for i in range(0, n): tmp_x = x_cur + step_x * (i + 0.5) tmp_y = y_x(tmp_x) res_arr.insert(0, [tmp_x, tmp_y, step_len]) else: section_length = math.sqrt((x_next - x_cur) ** 2 + (y_next - y_cur) ** 2) n = math.ceil(section_length * dpi) if n != 0: step_p = (y_next - y_cur) / float(n) step_len = section_length / float(n) for i in range(0, n): tmp_y = y_cur + step_p * (i + 0.5) res_arr.insert(0, [x_cur, tmp_y, step_len]) return res_arr def contains_point(self, x, y): if x > self.get_x_max() or x < self.get_x_min(): return False return self.get_top_border(x) >= y and self.get_bottom_border(x) <= y

46.609929

145

0.549452

1,052

6,572

3.113118

0.078897

0.18626

0.242137

0.145344

0.759695

0.718168

0.665649

0.629008

0.564886

0.553893

0

0.03352

0.319081

6,572

140

146

46.942857

0.698324

0.020085

0

0.392

0

1

0.104

false

0

0.008

0.04

0.288

0

null

0

1

0

1

0

null

0

2

89d3bf0df91591781ea747a7755b48cfdfadf9ad

783

py

Python

lists/management/commands/seed_list.py

nasir733/airbnb-clone

9ac746b6f3f3c8fc45f97773266e6f5f182d14b9

[ "MIT" ]

null

lists/management/commands/seed_list.py

nasir733/airbnb-clone

9ac746b6f3f3c8fc45f97773266e6f5f182d14b9

[ "MIT" ]

null

lists/management/commands/seed_list.py

nasir733/airbnb-clone

9ac746b6f3f3c8fc45f97773266e6f5f182d14b9

[ "MIT" ]

null

import random from django.core.management.base import BaseCommand from django.contrib.admin.utils import flatten from django_seed import Seed from lists import models as list_models from users import models as user_models from rooms import models as room_models NAME = "lists" class Command(BaseCommand): help = f"This command creates {NAME}" def handle(self, *args, **options): users = user_models.User.objects.all() rooms = room_models.Room.objects.all() for user in users: list_model = list_models.List.objects.create(user=user, name="Favs.") to_add = rooms[random.randint(0, 5) : random.randint(6, 30)] list_model.rooms.add(*to_add) self.stdout.write(self.style.SUCCESS(f"{0} {NAME} created!"))

29

81

0.696041

112

783

4.767857

0.464286

0.05618

0.078652

0

0.009569

0.199234

783

26

82

30.115385

0.842105

0

0.07152

0

1

0.055556

false

0

0.388889

0

0.555556

0

null

0

null

0

1

0

1

0

2

89d9126f3e319e5ec89708f1f4c286d5fd016235

356

py

Python

catalog_harvesting/util.py

ioos/catalog-harvesting

7674f9d0aba21032737f09364db6cd0afa3664cc

[ "MIT" ]

null

catalog_harvesting/util.py

ioos/catalog-harvesting

7674f9d0aba21032737f09364db6cd0afa3664cc

[ "MIT" ]

17

2016-07-01T18:52:20.000Z

2021-12-13T19:48:50.000Z

catalog_harvesting/util.py

ioos/catalog-harvesting

7674f9d0aba21032737f09364db6cd0afa3664cc

[ "MIT" ]

4

2016-06-28T15:29:28.000Z

2017-05-16T18:54:04.000Z

#!/usr/bin/env python ''' catalog_harvesting/util.py General utilities for the project ''' import random def unique_id(): ''' Return a random 17-character string that works well for mongo IDs ''' charmap = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789" return ''.join([random.choice(charmap) for i in range(17)])

19.777778

78

0.72191

42

356

6.071429

0.833333

0

0.047458

0.171348

356

17

79

20.941176

0.816949

0.41573

0

0.338798

0

1

0.25

false

0

0.25

0

0.75

0

null

0

null

0

1

0

1

0

2

89e0907a323d313394f560697c26056210dde316

375

py

Python

users/views.py

migleankstutyte/kaavapino

1fd0b642a66f1ec7c61decf46433dc9f0bf3ed8e

[ "MIT" ]

3

2019-02-07T14:47:00.000Z

2022-02-15T14:09:38.000Z

users/views.py

migleankstutyte/kaavapino

1fd0b642a66f1ec7c61decf46433dc9f0bf3ed8e

[ "MIT" ]

74

2017-12-13T09:18:04.000Z

2022-03-11T23:29:59.000Z

users/views.py

migleankstutyte/kaavapino

1fd0b642a66f1ec7c61decf46433dc9f0bf3ed8e

[ "MIT" ]

8

2017-12-13T09:31:20.000Z

2022-02-15T13:10:34.000Z

from django.contrib.auth import get_user_model from rest_framework import mixins from rest_framework.viewsets import GenericViewSet from users.serializers import UserSerializer class UserViewSet(mixins.RetrieveModelMixin, mixins.ListModelMixin, GenericViewSet): queryset = get_user_model().objects.all() serializer_class = UserSerializer lookup_field = "uuid"

31.25

84

0.824

43

375

7

0.627907

0.046512

0.079734

0

0.117333

375

11

85

34.090909

0.909366

0

0.010667

0

1

0

false

0

0.5

0

1

0

null

0

null

0

1

0

1

0

2

89f877e4490404ffc1a3340b3e037743f3566d9c

302

py

Python

cli4/__main__.py

pygrigori/python-cloudflare

d7cdb0cd5b0408b30c403d4d83915466a1e3d558

[ "MIT" ]

465

2016-05-07T00:22:59.000Z

2022-03-31T08:36:24.000Z

cli4/__main__.py

pygrigori/python-cloudflare

d7cdb0cd5b0408b30c403d4d83915466a1e3d558

[ "MIT" ]

129

2016-05-17T08:00:15.000Z

2022-03-31T23:09:36.000Z

cli4/__main__.py

pygrigori/python-cloudflare

d7cdb0cd5b0408b30c403d4d83915466a1e3d558

[ "MIT" ]

167

2016-05-09T16:19:27.000Z

2022-03-31T07:19:18.000Z

#!/usr/bin/env python """Cloudflare API via command line""" from __future__ import absolute_import import sys from .cli4 import cli4 def main(args=None): """Cloudflare API via command line""" if args is None: args = sys.argv[1:] cli4(args) if __name__ == '__main__': main()

17.764706

41

0.662252

43

302

4.348837

0.55814

0.139037

0.171123

0.245989

0.28877

0

0.016878

0.215232

302

16

42

18.875

0.772152

0.278146

0

0.038647

0

1

0.111111

false

0

0.333333

0

0.444444

0

null

0

1

0

null

0

1

0

2

89fd8cdfeb3e77602c5bf98124fe6cf01b3a5355

91

py

Python

test_example.py

cmput401-fall2018/web-app-ci-cd-with-travis-ci-pennyfea

87532a9ed76b1a06dbc40e18b1c774f3b597388e

[ "MIT" ]

null

test_example.py

cmput401-fall2018/web-app-ci-cd-with-travis-ci-pennyfea

87532a9ed76b1a06dbc40e18b1c774f3b597388e

[ "MIT" ]

null

test_example.py

cmput401-fall2018/web-app-ci-cd-with-travis-ci-pennyfea

87532a9ed76b1a06dbc40e18b1c774f3b597388e

[ "MIT" ]

null

def test_example(): num1 = 1 num2 = 3 if num2 > num1: print("Working")

15.166667

24

0.516484

12

91

3.833333

0.833333

0

0.103448

0.362637

91

5

25

18.2

0.689655

0

0.076923

0

1

0.2

false

0

0.2

1

0

null

0

1

0

null

0

2

d607c50df384a8836cc766ca7abe51f12d75551d

13,980

py

Python

deploy/alembic/versions/6fb351569d30_create_tables.py

gordon-elliott/glod

a381e21455d05d9c005942a3dee4ac67e10f366a

[ "MIT" ]

null

deploy/alembic/versions/6fb351569d30_create_tables.py

gordon-elliott/glod

a381e21455d05d9c005942a3dee4ac67e10f366a

[ "MIT" ]

1

2021-03-10T16:48:34.000Z

deploy/alembic/versions/6fb351569d30_create_tables.py

gordon-elliott/glod

a381e21455d05d9c005942a3dee4ac67e10f366a

[ "MIT" ]

null

"""create tables Revision ID: 6fb351569d30 Revises: 4f72de1ff38b Create Date: 2019-05-06 21:59:43.998735 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = '6fb351569d30' down_revision = '4f72de1ff38b' branch_labels = None depends_on = None def upgrade(): # ### commands auto generated by Alembic - please adjust! ### op.create_table('account', sa.Column('id', sa.Integer(), nullable=False), sa.Column('reference_no', sa.Integer(), nullable=True), sa.Column('purpose', sa.String(length=64), nullable=True), sa.Column('status', sa.Enum('Active', 'Closed', name='accountstatus', schema='glod', inherit_schema=True), nullable=True), sa.Column('name', sa.String(length=64), nullable=True), sa.Column('institution', sa.String(length=64), nullable=True), sa.Column('sort_code', sa.String(length=64), nullable=True), sa.Column('account_no', sa.String(length=64), nullable=True), sa.Column('BIC', sa.String(length=64), nullable=True), sa.Column('IBAN', sa.String(length=64), nullable=True), sa.PrimaryKeyConstraint('id'), schema='glod' ) op.create_table('address', sa.Column('id', sa.Integer(), nullable=False), sa.Column('address1', sa.String(length=64), nullable=True), sa.Column('address2', sa.String(length=64), nullable=True), sa.Column('address3', sa.String(length=64), nullable=True), sa.Column('county', sa.String(length=64), nullable=True), sa.Column('countryISO', sa.String(length=64), nullable=True), sa.Column('eircode', sa.String(length=64), nullable=True), sa.Column('telephone', sa.String(length=64), nullable=True), sa.PrimaryKeyConstraint('id'), schema='glod' ) op.create_table('household', sa.Column('id', sa.Integer(), nullable=False), sa.Column('reference_no', sa.Integer(), nullable=True), sa.Column('address1', sa.String(length=64), nullable=True), sa.Column('address2', sa.String(length=64), nullable=True), sa.Column('address3', sa.String(length=64), nullable=True), sa.Column('county', sa.String(length=64), nullable=True), sa.Column('eircode', sa.String(length=64), nullable=True), sa.Column('telephone', sa.String(length=64), nullable=True), sa.PrimaryKeyConstraint('id'), schema='glod' ) op.create_table('nominal_account', sa.Column('id', sa.Integer(), nullable=False), sa.Column('code', sa.String(length=64), nullable=True), sa.Column('description', sa.String(length=64), nullable=True), sa.Column('SOFA_heading', sa.Enum('Donations_and_legacies', 'Income_from_charitable_activities', 'Other_trading_activities', 'Investments', 'Other_income', 'Raising_funds', 'Expenditure_on_charitable_activities', 'Other_expenditure', name='nominalaccountsofaheading', schema='glod', inherit_schema=True), nullable=True), sa.Column('category', sa.Enum('Income', 'Expenditure', 'Fixed_assets', 'Current_assets', 'Liabilities', name='nominalaccountcategory', schema='glod', inherit_schema=True), nullable=True), sa.Column('sub_category', sa.Enum('Tangible_assets', 'Investments', 'Debtors', 'Cash_at_bank_and_in_hand', 'Creditors_Amounts_falling_due_in_one_year', 'Creditors_Amounts_falling_due_after_more_than_one_year', 'Agency_accounts', 'Reserves', name='nominalaccountsubcategory', schema='glod', inherit_schema=True), nullable=True), sa.PrimaryKeyConstraint('id'), schema='glod' ) op.create_table('organisation', sa.Column('id', sa.Integer(), nullable=False), sa.Column('name', sa.String(length=64), nullable=True), sa.Column('category', sa.Enum('Household', 'NonLocalHousehold', 'Company', 'Charity', 'Government', name='organisationcategory', schema='glod', inherit_schema=True), nullable=True), sa.Column('status', sa.Enum('Active', 'Inactive', name='organisationstatus', schema='glod', inherit_schema=True), nullable=True), sa.Column('reference_no', sa.Integer(), nullable=True), sa.PrimaryKeyConstraint('id'), schema='glod' ) op.create_table('parishioner', sa.Column('id', sa.Integer(), nullable=False), sa.Column('reference_no', sa.Integer(), nullable=True), sa.Column('surname', sa.String(length=64), nullable=True), sa.Column('first_name', sa.String(length=64), nullable=True), sa.Column('title', sa.String(length=64), nullable=True), sa.Column('status', sa.String(length=64), nullable=True), sa.Column('main_contact', sa.String(length=64), nullable=True), sa.Column('household_ref_no', sa.Integer(), nullable=True), sa.Column('mobile', sa.String(length=64), nullable=True), sa.Column('other', sa.String(length=64), nullable=True), sa.Column('email', sa.String(length=64), nullable=True), sa.Column('gdpr_response', sa.String(length=64), nullable=True), sa.Column('by_email', sa.String(length=64), nullable=True), sa.Column('by_phone', sa.String(length=64), nullable=True), sa.Column('by_post', sa.String(length=64), nullable=True), sa.Column('news', sa.String(length=64), nullable=True), sa.Column('finance', sa.String(length=64), nullable=True), sa.PrimaryKeyConstraint('id'), schema='glod' ) op.create_table('subject', sa.Column('id', sa.Integer(), nullable=False), sa.Column('name', sa.String(length=64), nullable=True), sa.Column('select_vestry_summary', sa.String(length=64), nullable=True), sa.Column('easter_vestry_summary', sa.String(length=64), nullable=True), sa.PrimaryKeyConstraint('id'), schema='glod' ) op.create_table('fund', sa.Column('id', sa.Integer(), nullable=False), sa.Column('name', sa.String(length=64), nullable=True), sa.Column('restriction', sa.Enum('Unrestricted', 'Restricted', 'Endowment', name='fundrestriction', schema='glod', inherit_schema=True), nullable=True), sa.Column('is_parish_fund', sa.Boolean(), nullable=True), sa.Column('is_realised', sa.Boolean(), nullable=True), sa.Column('account_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['account_id'], ['glod.account.id'], ), sa.PrimaryKeyConstraint('id'), schema='glod' ) op.create_table('organisation_address', sa.Column('id', sa.Integer(), nullable=False), sa.Column('status', sa.Enum('Current', 'Prior', name='organisationaddressstatus', schema='glod', inherit_schema=True), nullable=True), sa.Column('address_id', sa.Integer(), nullable=True), sa.Column('organisation_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['address_id'], ['glod.address.id'], ), sa.ForeignKeyConstraint(['organisation_id'], ['glod.organisation.id'], ), sa.PrimaryKeyConstraint('id'), schema='glod' ) op.create_table('person', sa.Column('id', sa.Integer(), nullable=False), sa.Column('family_name', sa.String(length=64), nullable=True), sa.Column('given_name', sa.String(length=64), nullable=True), sa.Column('title', sa.String(length=64), nullable=True), sa.Column('status', sa.Enum('Active', 'LostContact', 'Deceased', name='personstatus', schema='glod', inherit_schema=True), nullable=True), sa.Column('mobile', sa.String(length=64), nullable=True), sa.Column('other_phone', sa.String(length=64), nullable=True), sa.Column('email', sa.String(length=64), nullable=True), sa.Column('parishioner_reference_no', sa.Integer(), nullable=True), sa.Column('organisation_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['organisation_id'], ['glod.organisation.id'], ), sa.PrimaryKeyConstraint('id'), schema='glod' ) op.create_table('statement_item', sa.Column('id', sa.Integer(), nullable=False), sa.Column('date', sa.Date(), nullable=True), sa.Column('details', sa.String(length=64), nullable=True), sa.Column('currency', sa.String(length=64), nullable=True), sa.Column('debit', sa.Numeric(scale=2), nullable=True), sa.Column('credit', sa.Numeric(scale=2), nullable=True), sa.Column('balance', sa.Numeric(scale=2), nullable=True), sa.Column('detail_override', sa.String(length=64), nullable=True), sa.Column('designated_balance', sa.Enum('No', 'Opening', 'Closing', name='statementitemdesignatedbalance', schema='glod', inherit_schema=True), nullable=True), sa.Column('account_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['account_id'], ['glod.account.id'], ), sa.PrimaryKeyConstraint('id'), schema='glod' ) op.create_table('communication_permission', sa.Column('id', sa.Integer(), nullable=False), sa.Column('is_main_contact', sa.Boolean(), nullable=True), sa.Column('gdpr_response', sa.DateTime(), nullable=True), sa.Column('by_email', sa.Boolean(), nullable=True), sa.Column('by_phone', sa.Boolean(), nullable=True), sa.Column('by_post', sa.Boolean(), nullable=True), sa.Column('news', sa.Boolean(), nullable=True), sa.Column('finance', sa.Boolean(), nullable=True), sa.Column('person_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['person_id'], ['glod.person.id'], ), sa.PrimaryKeyConstraint('id'), schema='glod' ) op.create_table('counterparty', sa.Column('id', sa.Integer(), nullable=False), sa.Column('reference_no', sa.Integer(), nullable=True), sa.Column('bank_text', sa.String(length=64), nullable=True), sa.Column('name_override', sa.String(length=64), nullable=True), sa.Column('method', sa.String(length=64), nullable=True), sa.Column('has_SO_card', sa.Boolean(), nullable=True), sa.Column('by_email', sa.Boolean(), nullable=True), sa.Column('notes', sa.String(length=1024), nullable=True), sa.Column('person_id', sa.Integer(), nullable=True), sa.Column('organisation_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['organisation_id'], ['glod.organisation.id'], ), sa.ForeignKeyConstraint(['person_id'], ['glod.person.id'], ), sa.PrimaryKeyConstraint('id'), schema='glod' ) op.create_table('pps', sa.Column('id', sa.Integer(), nullable=False), sa.Column('pps', sa.String(length=64), nullable=True), sa.Column('name_override', sa.String(length=64), nullable=True), sa.Column('notes', sa.String(length=1024), nullable=True), sa.Column('person_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['person_id'], ['glod.person.id'], ), sa.PrimaryKeyConstraint('id'), schema='glod' ) op.create_table('envelope', sa.Column('id', sa.Integer(), nullable=False), sa.Column('year', sa.Integer(), nullable=True), sa.Column('envelope_number', sa.Integer(), nullable=True), sa.Column('counterparty_id', sa.Integer(), nullable=True), sa.Column('person_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['counterparty_id'], ['glod.counterparty.id'], ), sa.ForeignKeyConstraint(['person_id'], ['glod.person.id'], ), sa.PrimaryKeyConstraint('id'), schema='glod' ) op.create_table('transaction', sa.Column('id', sa.Integer(), nullable=False), sa.Column('reference_no', sa.Integer(), nullable=True), sa.Column('public_code', sa.String(length=64), nullable=True), sa.Column('year', sa.Integer(), nullable=True), sa.Column('month', sa.Integer(), nullable=True), sa.Column('day', sa.Integer(), nullable=True), sa.Column('payment_method', sa.Enum('BankCharges', 'BankTax', 'BillpayOnline', 'CashLodgmentEnvelopes', 'CashLodgmentOther', 'CashLodgmentPlate', 'Cheque', 'DirectDebit', 'DirectPayment', 'DirectTransfer', 'InBranch', 'StandingOrderMonthly', 'StandingOrderOther', 'StandingOrderQuarterly', 'StandingOrders', 'UnrealisedGainLoss', name='paymentmethod', schema='glod', inherit_schema=True), nullable=True), sa.Column('description', sa.String(length=1024), nullable=True), sa.Column('amount', sa.Numeric(scale=2), nullable=True), sa.Column('income_expenditure', sa.Enum('Income', 'Expenditure', name='incomeexpenditure', schema='glod', inherit_schema=True), nullable=True), sa.Column('FY', sa.String(length=64), nullable=True), sa.Column('comments', sa.String(length=1024), nullable=True), sa.Column('counterparty_id', sa.Integer(), nullable=True), sa.Column('subject_id', sa.Integer(), nullable=True), sa.Column('fund_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['counterparty_id'], ['glod.counterparty.id'], ), sa.ForeignKeyConstraint(['fund_id'], ['glod.fund.id'], ), sa.ForeignKeyConstraint(['subject_id'], ['glod.subject.id'], ), sa.PrimaryKeyConstraint('id'), schema='glod' ) op.create_table('transaction_check', sa.Column('id', sa.Integer(), nullable=False), sa.Column('transaction_id', sa.Integer(), nullable=True), sa.Column('statement_item_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['statement_item_id'], ['glod.statement_item.id'], ), sa.ForeignKeyConstraint(['transaction_id'], ['glod.transaction.id'], ), sa.PrimaryKeyConstraint('id'), schema='glod' ) # ### end Alembic commands ### def downgrade(): # ### commands auto generated by Alembic - please adjust! ### op.drop_table('transaction_check', schema='glod') op.drop_table('transaction', schema='glod') op.drop_table('envelope', schema='glod') op.drop_table('pps', schema='glod') op.drop_table('counterparty', schema='glod') op.drop_table('communication_permission', schema='glod') op.drop_table('statement_item', schema='glod') op.drop_table('person', schema='glod') op.drop_table('organisation_address', schema='glod') op.drop_table('fund', schema='glod') op.drop_table('subject', schema='glod') op.drop_table('parishioner', schema='glod') op.drop_table('organisation', schema='glod') op.drop_table('nominal_account', schema='glod') op.drop_table('household', schema='glod') op.drop_table('address', schema='glod') op.drop_table('account', schema='glod') # ### end Alembic commands ###

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0.214369

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0.698185

0.671761

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0.01545

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13,980

262

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53.358779

0.750772

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0

null

0

1

0

1

0

null

0

2

d60ba3512a50dda2a4e6cd60cfa185e17be8c13c

1,792

py

Python

moderngl_window/timers/base.py

DavideRuzza/moderngl-window

e9debc6ed4a1899aa83c0da2320e03b0c2922b80

[ "MIT" ]

142

2019-11-11T23:14:28.000Z

2022-03-29T08:37:03.000Z

moderngl_window/timers/base.py

DavideRuzza/moderngl-window

e9debc6ed4a1899aa83c0da2320e03b0c2922b80

[ "MIT" ]

107

2019-10-31T20:31:45.000Z

2022-03-23T15:01:41.000Z

moderngl_window/timers/base.py

DavideRuzza/moderngl-window

e9debc6ed4a1899aa83c0da2320e03b0c2922b80

[ "MIT" ]

36

2019-12-12T16:14:10.000Z

2022-01-18T22:58:21.000Z

from typing import Tuple class BaseTimer: """ A timer controls the time passed into the the render function. This can be used in creative ways to control the current time such as basing it on current location in an audio file. All methods must be implemented. """ @property def is_paused(self) -> bool: """bool: The pause state of the timer""" raise NotImplementedError() @property def is_running(self) -> bool: """bool: Is the timer currently running?""" raise NotImplementedError() @property def time(self) -> float: """Get or set the current time. This can be used to jump around in the timeline. Returns: float: The current time in seconds """ raise NotImplementedError() @time.setter def time(self, value: float): raise NotImplementedError() def next_frame(self) -> Tuple[float, float]: """Get timer information for the next frame. Returns: Tuple[float, float]: The frametime and current time """ raise NotImplementedError() def start(self): """Start the timer initially or resume after pause""" raise NotImplementedError() def pause(self): """Pause the timer""" raise NotImplementedError() def toggle_pause(self): """Toggle pause state""" raise NotImplementedError() def stop(self) -> Tuple[float, float]: """ Stop the timer. Should only be called once when stopping the timer. Returns: Tuple[float, float]> Current position in the timer, actual running duration """ raise NotImplementedError()

27.569231

88

0.592076

200

1,792

5.285

0.415

0.204352

0.12772

0.024598

0

0.325893

1,792

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0.875

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0.458333

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null

1

0

null

0

1

0

2

d60c263256042297b276978adacf12014f153b54

327

py

Python

accounts/views.py

aryasadeghy/simpleSocial

46c1f83a07817efbd095507303c66353fe1ae932

[ "MIT" ]

null

accounts/views.py

aryasadeghy/simpleSocial

46c1f83a07817efbd095507303c66353fe1ae932

[ "MIT" ]

6

2020-02-11T22:54:25.000Z

2022-01-13T00:47:14.000Z

accounts/views.py

aryasadeghy/simpleSocial

46c1f83a07817efbd095507303c66353fe1ae932

[ "MIT" ]

null

from django.shortcuts import render from django.views.generic import CreateView from django.urls import reverse_lazy from accounts.forms import UserCreateForm # Create your views here. class Signup(CreateView): form_class = UserCreateForm success_url = reverse_lazy('login') template_name = "accounts/signup.html"

29.727273

43

0.798165

42

327

6.095238

0.619048

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0.137615

327

11

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null

0

null

0

1

0

1

0

2

d63dd2c75a7d51524459ca564e7f8c459de9700b

352

py

Python

Students/Zephyr/Exercise 1.py

MikelShifrin/Python1

0096a327023a28e0c639042ae01268b07e61943e

[ "MIT" ]

3

2019-07-02T13:46:23.000Z

2019-08-19T14:41:25.000Z

Students/Zephyr/Exercise 1.py

MikelShifrin/Python1

0096a327023a28e0c639042ae01268b07e61943e

[ "MIT" ]

null

Students/Zephyr/Exercise 1.py

MikelShifrin/Python1

0096a327023a28e0c639042ae01268b07e61943e

[ "MIT" ]

null

name = input('Please enter your name:\n') age = int(input("Please enter your age:\n")) color = input('Enter your favorite color:\n') animal = input('Enter your favorite animal:\n') print('Hello my name is' , name , '.') print('I am' , age , 'years old.') print('My favorite color is' , color ,'.') print('My favorite animal is the' , animal , '.')

27.076923

49

0.644886

54

352

4.203704

0.37037

0.15859

0.140969

0.176211

0

0.167614

352

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0

null

0

1

0

null

0

1

0

2

d643ba8252478c881a1cbb108bed0d0c073a4c21

2,532

py

Python

ElexonDataPortal/vis/curtailment.py

r4ch45/ElexonDataPortal

d44ed4da33278c0135ff95fb126a10d9384af22f

[ "MIT" ]

22

2021-01-12T12:34:43.000Z

2022-03-30T06:18:40.000Z

ElexonDataPortal/vis/curtailment.py

r4ch45/ElexonDataPortal

d44ed4da33278c0135ff95fb126a10d9384af22f

[ "MIT" ]

12

2021-02-26T16:17:58.000Z

2022-03-29T19:32:29.000Z

ElexonDataPortal/vis/curtailment.py

r4ch45/ElexonDataPortal

d44ed4da33278c0135ff95fb126a10d9384af22f

[ "MIT" ]

6

2021-06-07T11:58:35.000Z

2022-03-30T06:18:42.000Z

# AUTOGENERATED! DO NOT EDIT! File to edit: nbs/vis-02-curtailment.ipynb (unless otherwise specified). __all__ = ['get_wf_ids', 'flatten_list', 'get_curtailed_wfs_df', 'load_curtailed_wfs', 'add_next_week_of_data_to_curtailed_wfs'] # Cell flatten_list = lambda list_: [item for sublist in list_ for item in sublist] def get_wf_ids(dictionary_url='https://raw.githubusercontent.com/OSUKED/Power-Station-Dictionary/main/data/output/power_stations.csv'): df_dictionary = pd.read_csv(dictionary_url) wf_ids = flatten_list(df_dictionary.query('fuel_type=="wind"')['sett_bmu_id'].str.split(', ').to_list()) return wf_ids # Cell def get_curtailed_wfs_df( api_key: str=None, start_date: str = '2020-01-01', end_date: str = '2020-01-01 1:30', wf_ids: list=None, dictionary_url: str='https://raw.githubusercontent.com/OSUKED/Power-Station-Dictionary/main/data/output/power_stations.csv' ): if wf_ids is None: wf_ids = get_wf_ids(dictionary_url=dictionary_url) client = Client() df_detsysprices = client.get_DETSYSPRICES(start_date, end_date) df_curtailed_wfs = (df_detsysprices .query('recordType=="BID" & soFlag=="T" & id in @wf_ids') .astype({'bidVolume': float}) .groupby(['local_datetime', 'id']) ['bidVolume'] .sum() .reset_index() .pivot('local_datetime', 'id', 'bidVolume') ) return df_curtailed_wfs # Cell def load_curtailed_wfs( curtailed_wfs_fp: str='data/curtailed_wfs.csv' ): df_curtailed_wfs = pd.read_csv(curtailed_wfs_fp) df_curtailed_wfs = df_curtailed_wfs.set_index('local_datetime') df_curtailed_wfs.index = pd.to_datetime(df_curtailed_wfs.index, utc=True).tz_convert('Europe/London') return df_curtailed_wfs # Cell def add_next_week_of_data_to_curtailed_wfs( curtailed_wfs_fp: str='data/curtailed_wfs.csv', save_data: bool=True, ): df_curtailed_wfs = load_curtailed_wfs(curtailed_wfs_fp) most_recent_ts = df_curtailed_wfs.index.max() start_date = most_recent_ts + pd.Timedelta(minutes=30) end_date = start_date + pd.Timedelta(days=7) client = Client() df_curtailed_wfs_wk = get_curtailed_wfs_df(start_date=start_date, end_date=end_date, wf_ids=wf_ids) df_curtailed_wfs = df_curtailed_wfs.append(df_curtailed_wfs_wk) df_curtailed_wfs.to_csv(curtailed_wfs_fp) return df_curtailed_wfs

36.695652

135

0.690363

355

2,532

4.526761

0.307042

0.231487

0.13939

0.031736

0.365899

0.287492

0.197884

0.16677

0

0.011817

0.197867

2,532

69

136

36.695652

0.779419

0.047393

0

0.166667

1

0.041667

0.221022

0.034067

0

1

0.083333

false

0

0.166667

0

null

1

0

1

0

null

0

2

c38411b92515ccabaac79cf9fee8dda8f91e01e8

1,343

py

Python

tournament.py

feat7/chess_lm

1e8538b980f19616d5042557612024e76f1a1ca6

[ "MIT" ]

null

tournament.py

feat7/chess_lm

1e8538b980f19616d5042557612024e76f1a1ca6

[ "MIT" ]

null

tournament.py

feat7/chess_lm

1e8538b980f19616d5042557612024e76f1a1ca6

[ "MIT" ]

null

# """run the models and calculate ELO ratings # 19.11.2020 - @yashbonde""" # from argparse import ArgumentParser # from chess_lm.model import ModelConfig # from chess_lm.game import Player # import torch # def expected(p1, p2): # return 1 / (1 - 10 ** ((p2 - p1) / 400)) # def elo(p, e, s, k=32): # return p + k * (s - e) # def new_elos_after_tournament(p1, p2, s): # e = 0 # for _p2 in p2: # e += expected(p1, _p2) # _p1 = elo(p1, expected(p1, p2), s) # return _p1 # # ---- script # args = ArgumentParser( # description='run tournament and obtain ELO ratings of different models') # args.add_argument("--m1", type=str, default=".model_sample/z4_0.pt", # help="path to first model checkpoint file") # args.add_argument("--m2", type=str, default=".model_sample/z4_0.pt", # help="path to second model checkpoint file") # args.add_argument("--num_rounds", type=int, default=800, # help="number of rounds in the tournament") # args = args.parse_args() # # make the baseline configuration and load the models # config = ModelConfig( # vocab_size=1793, # Fix: Model shape mismatch error # n_ctx=60, # n_embd=128, # n_head=8, # n_layer=30, # n_positions=60, # ) # m1 = Player(config, args.m1) # m1 = Player(config, args.m2)

27.408163

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0.619509

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1,343

4.186529

0.481865

0.019802

0.044554

0.04703

0.183168

0.09901

0

0.058423

0.235294

1,343

48

79

27.979167

0.728335

0.93373

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

null

0

1

0

2

c38bc9c5d5c49a6041942f29f1c2c82abcfe2e97

290

py

Python

ex049.py

igormba/python-exercises

000190c4b62dc64bbb2fb039a103890945b88fa5

[ "MIT" ]

null

ex049.py

igormba/python-exercises

000190c4b62dc64bbb2fb039a103890945b88fa5

[ "MIT" ]

null

ex049.py

igormba/python-exercises

000190c4b62dc64bbb2fb039a103890945b88fa5

[ "MIT" ]

null

'''Rafaça o DESAFIO 009, mostrando a tabuada de um número que o usuário escolher, só que agora utilizando um laço for.''' n = int(input('Digite um número para ver sua tabuada: ')) print('-' * 12) for tabu in range(0, 11): print('{} x {:2} = {}'.format(n, tabu, n*tabu)) print('-' * 12)

41.428571

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0.641379

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290

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122

41.428571

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null

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null

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2

c39e74a510420ce0e428d6654b2c91df1ac7a9d5

162

py

Python

sta_etl/__init__.py

XeBoris/git-etl

888f26e51a797dd111c9ca457a0c83b4f00296f0

[ "MIT" ]

null

sta_etl/__init__.py

XeBoris/git-etl

888f26e51a797dd111c9ca457a0c83b4f00296f0

[ "MIT" ]

null

sta_etl/__init__.py

XeBoris/git-etl

888f26e51a797dd111c9ca457a0c83b4f00296f0

[ "MIT" ]

null

"""Top-level package for sta-etl.""" __author__ = """Boris Bauermeister""" __email__ = 'Boris.Bauermeister@gmail' __version__ = '0.1.0' #from sta_etl import *

18

38

0.697531

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162

4.761905

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0.12

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0.12963

162

8

39

20.25

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0.320988

0

0.451923

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0

1

0

null

0

1

0

null

0

2

c3ae4ba07955d7042040649cd40e5479799ed431

1,929

py

Python

py/py_0527_randomized_binary_search.py

lcsm29/project-euler

fab794ece5aa7a11fc7c2177f26250f40a5b1447

[ "MIT" ]

null

py/py_0527_randomized_binary_search.py

lcsm29/project-euler

fab794ece5aa7a11fc7c2177f26250f40a5b1447

[ "MIT" ]

null

py/py_0527_randomized_binary_search.py

lcsm29/project-euler

fab794ece5aa7a11fc7c2177f26250f40a5b1447

[ "MIT" ]

null

# Solution of; # Project Euler Problem 527: Randomized Binary Search # https://projecteuler.net/problem=527 # # A secret integer t is selected at random within the range 1 ≤ t ≤ n. The # goal is to guess the value of t by making repeated guesses, via integer g. # After a guess is made, there are three possible outcomes, in which it will # be revealed that either g < t, g = t, or g > t. Then the process can repeat # as necessary. Normally, the number of guesses required on average can be # minimized with a binary search: Given a lower bound L and upper bound H # (initialized to L = 1 and H = n), let g = ⌊(L+H)/2⌋ where ⌊⋅⌋ is the integer # floor function. If g = t, the process ends. Otherwise, if g < t, set L = # g+1, but if g > t instead, set H = g−1. After setting the new bounds, the # search process repeats, and ultimately ends once t is found. Even if t can # be deduced without searching, assume that a search will be required anyway # to confirm the value. Your friend Bob believes that the standard binary # search is not that much better than his randomized variant: Instead of # setting g = ⌊(L+H)/2⌋, simply let g be a random integer between L and H, # inclusive. The rest of the algorithm is the same as the standard binary # search. This new search routine will be referred to as a random binary # search. Given that 1 ≤ t ≤ n for random t, let B(n) be the expected number # of guesses needed to find t using the standard binary search, and let R(n) # be the expected number of guesses needed to find t using the random binary # search. For example, B(6) = 2. 33333333 and R(6) = 2. 71666667 when rounded # to 8 decimal places. Find R(1010) − B(1010) rounded to 8 decimal places. # # by lcsm29 http://github.com/lcsm29/project-euler import timed def dummy(n): pass if __name__ == '__main__': n = 1000 i = 10000 prob_id = 527 timed.caller(dummy, n, i, prob_id)

48.225

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0

0.038944

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1,929

39

80

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0

0.044944

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false

0.125

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0.25

0

null

0

1

0

null

0

1

0

2

c3af215854abd4c90a3e4ca46f61b27b360bf47e

242

py

Python

NOV_17_2020/quiz2.py

refeed/PAlgoritmaTRPLA

e0c79c1d57bee0869e2344651718e8cf053c035f

[ "MIT" ]

null

NOV_17_2020/quiz2.py

refeed/PAlgoritmaTRPLA

e0c79c1d57bee0869e2344651718e8cf053c035f

[ "MIT" ]

null

NOV_17_2020/quiz2.py

refeed/PAlgoritmaTRPLA

e0c79c1d57bee0869e2344651718e8cf053c035f

[ "MIT" ]

null

''' No 2. Buatlah fungsi tanpa pengembalian nilai, yaitu fungsi segitigabintang. Misal, jika dipanggil dg segitigabintang(4), keluarannya : * ** *** **** ''' def segitigabintang(baris): for i in range(baris): print('*' * (i+1))

18.615385

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242

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0

0.015306

0.190083

242

12

78

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0.619835

0

0.011905

0

1

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false

0

0.333333

1

0

null

0

null

0

1

0

2

c3c0682686fc342ab84606c799f8486241e754b8

1,547

py

Python

python/eggroll/core/datastructure/__init__.py

liszekei/eggroll

6a8cc5e1c9106d2633dc415092151f921f003743

[ "Apache-2.0" ]

209

2019-08-08T18:38:26.000Z

2022-03-23T06:20:40.000Z

python/eggroll/core/datastructure/__init__.py

liszekei/eggroll

6a8cc5e1c9106d2633dc415092151f921f003743

[ "Apache-2.0" ]

110

2019-08-09T02:50:47.000Z

2022-03-07T10:30:21.000Z

python/eggroll/core/datastructure/__init__.py

liszekei/eggroll

6a8cc5e1c9106d2633dc415092151f921f003743

[ "Apache-2.0" ]

77

2019-08-15T08:11:52.000Z

2022-03-23T06:19:44.000Z

# Copyright (c) 2019 - now, Eggroll Authors. 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 agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from importlib import import_module from concurrent.futures import _base, ThreadPoolExecutor from eggroll.core.datastructure.threadpool import ErThreadUnpooledExecutor from eggroll.core.datastructure.queue import _PySimpleQueue from eggroll.utils.log_utils import get_logger L = get_logger() try: from queue import SimpleQueue except ImportError: SimpleQueue = _PySimpleQueue def create_executor_pool(canonical_name: str = None, max_workers=None, thread_name_prefix=None, *args, **kwargs) -> _base.Executor: if not canonical_name: canonical_name = "concurrent.futures.ThreadPoolExecutor" module_name, class_name = canonical_name.rsplit(".", 1) _module = import_module(module_name) _class = getattr(_module, class_name) return _class(max_workers=max_workers, thread_name_prefix=thread_name_prefix, *args, **kwargs) def create_simple_queue(*args, **kwargs): return SimpleQueue()

37.731707

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1,547

5.576923

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0.041379

0.027586

0

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1,547

40

132

38.675

0.877956

0.383969

0

0.040512

0.039446

0

1

0.105263

false

0

0.421053

0.052632

0.631579

0

null

0

null

0

1

0

1

0

2

c3c6dc209f06eeee94d2df7708439a9145986364

230

py

Python

examples/test_python_folder_classify.py

TensorPy/TensorPy

d8715a843081c48cc090b7168e144f7db36faff9

[ "MIT" ]

45

2016-10-20T01:38:31.000Z

2021-06-05T15:34:03.000Z

examples/test_python_folder_classify.py

mdmintz/TensorPy

d8715a843081c48cc090b7168e144f7db36faff9

[ "MIT" ]

9

2017-03-25T12:10:11.000Z

2020-09-25T21:19:47.000Z

examples/test_python_folder_classify.py

mdmintz/TensorPy

d8715a843081c48cc090b7168e144f7db36faff9

[ "MIT" ]

33

2016-10-22T11:41:34.000Z

2021-03-18T15:51:10.000Z

from tensorpy import image_base classifications = image_base.classify_folder_images('./images') print("*** Displaying Image Classification Results as a list: ***") for classification in classifications: print(classification)

32.857143

67

0.791304

26

230

6.846154

0.692308

0.101124

0

0.113043

230

6

68

38.333333

0.872549

0

0.286957

0

1

0

false

0

0.2

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0.2

0.4

1

0

null

0

1

0

null

0

2

c3c861bcdbf10ce7a55f230e67e34074b5d82dda

3,113

py

Python

RoboticsLanguage/Tools/Exceptions.py

robotcaresystems/roboticslanguage

3bb7a2bf64ab8e9068889713fbeb18a45cd5a3ed

[ "Apache-2.0" ]

64

2018-05-15T14:36:44.000Z

2022-03-09T05:00:31.000Z

RoboticsLanguage/Tools/Exceptions.py

robotcaresystems/roboticslanguage

3bb7a2bf64ab8e9068889713fbeb18a45cd5a3ed

[ "Apache-2.0" ]

9

2018-04-17T21:12:27.000Z

2019-11-08T20:53:32.000Z

RoboticsLanguage/Tools/Exceptions.py

robotcaresystems/roboticslanguage

3bb7a2bf64ab8e9068889713fbeb18a45cd5a3ed

[ "Apache-2.0" ]

10

2018-03-27T12:09:12.000Z

2021-02-16T08:07:26.000Z

# # This is the Robotics Language compiler # # ErrorHandling.py: Implements Error Handling functions # # Created on: June 22, 2017 # Author: Gabriel A. D. Lopes # Licence: Apache 2.0 # Copyright: 2014-2017 Robot Care Systems BV, The Hague, The Netherlands. 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 agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import re import sys from contextlib import contextmanager class ReturnException(Exception): pass @contextmanager def tryToProceed(): ''' Attempts to proceed when there is an exception. This function is coupled with the action 'return' of the exception function. For example: from RoboticsLanguage.Tools import Exceptions def run_function(): with Exceptions.exception('test'): a = 'a' + 1 print 'reaches this point' with Exceptions.exception('test', action='return'): raise Exception('test') print 'does not reach this point' with Exceptions.tryToProceed(): run_function() print 'does not reach this point' print 'reaches this point' ''' try: yield except Exception as e: if type(e).__name__ == 'ReturnException': pass else: raise e @contextmanager def exception(key='default', code=None, parameters={}, **options): ''' Generic exception function used in a 'with' context. Can be used fos system/libraries exceptions, or to generate own exceptions. Usage: # system error with Exceptions.exception('test'): a = 'a' + 1 # forced error with Exceptions.exception('forced', action='stop'): raise Exception('name') ''' try: yield except Exception as e: # get the logger level and action if defined. level = options['level'] if 'level' in options.keys() else 'error' action = options['action'] if 'action' in options.keys() else None try: # try to identify who sent the exception emitter = re.search("<.*'([^']*)'>", str(type(e))).group(1) except: emitter = 'unknown' # show the message showExceptionMessage(emitter, key, e, level, action) # apply actions if action == 'stop': # stop the RoL script sys.exit(1) elif action == 'return': # this will return the parent function raise ReturnException def showExceptionMessage(emitter, key, exception, level, action): print 'emitter: ' + emitter print 'key: ' + key print 'exception: ' + str(exception) print 'level: ' + level print 'action: ' + str(action) def raiseException(group, key, code=None, parameters={}): with exception(group, code, parameters): raise Exception(key)

26.836207

99

0.680373

401

3,113

5.266833

0.426434

0.028409

0.043561

0.038352

0.077652

0.028409

0

0.00986

0.218118

3,113

115

100

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0.857847

0.317379

0

0.282051

0

0.097942

0

null

0.051282

0.076923

null

0.128205

0

null

0

null

0

1

0

1

0

2

c3c8e031aee7868f8730d77f9fc2d1e3db73ac7c

1,020

py

Python

data_input/__init__.py

carlosvin/pricecalculator

2c2c409e4a7f3e7d52001b19630a37a4e1a827ae

[ "Apache-2.0" ]

null

data_input/__init__.py

carlosvin/pricecalculator

2c2c409e4a7f3e7d52001b19630a37a4e1a827ae

[ "Apache-2.0" ]

null

data_input/__init__.py

carlosvin/pricecalculator

2c2c409e4a7f3e7d52001b19630a37a4e1a827ae

[ "Apache-2.0" ]

null

# -*- coding: utf8 -*- from urllib.request import Request, urlopen import logging import parsing __author__ = 'carlos' class Downloader(object): def __init__(self, url): self.url = url def read(self): request = Request( self.url ) request.add_header('Accept-encoding', 'text/html') response = urlopen(request) charset = response.headers.get('charset') data = response.read() logging.debug('Read %u bytes from %s (%s)' % (len(data), self.url, charset)) return data class StocksInfoUpdater(object): def __init__(self, url): self.downloader = Downloader(url) self.parser = parsing.StockParser() def update(self): dataread = self.downloader.read() self.parser.feed(dataread) return self.parser.stocks @property def stocks(self): return self.parser.stocks @property def url(self): return self.downloader.url

21.702128

84

0.594118

110

1,020

5.390909

0.4

0.059022

0.043845

0.057336

0.192243

0

0.001391

0.295098

1,020

46

85

22.173913

0.823366

0.019608

0

0.206897

0

0.063126

0

1

0.206897

false

0

0.103448

0.068966

0.517241

0

null

0

null

0

1

0

1

0

2

c3d17c2c456d36f8cb0a5fd4496941d685d48e93

328

py

Python

ch22/import_test.py

eroicaleo/LearningPython

297d46eddce6e43ce0c160d2660dff5f5d616800

[ "MIT" ]

1

2020-10-12T13:33:29.000Z

ch22/import_test.py

eroicaleo/LearningPython

297d46eddce6e43ce0c160d2660dff5f5d616800

[ "MIT" ]

null

ch22/import_test.py

eroicaleo/LearningPython

297d46eddce6e43ce0c160d2660dff5f5d616800

[ "MIT" ]

1

2016-11-09T07:28:45.000Z

#!/usr/bin/env python3 import sys import re import time import datetime import os for module in sorted(sys.modules): print("%-20s : %s" % (module, sys.modules[module])) print('USER : ', os.environ['USER']) print('PWD : ', os.environ['PWD']) print('PYTHONPATH: ', os.environ.get('PYTHONPATH')) print(sys.path)

19.294118

55

0.652439

46

328

4.652174

0.521739

0.126168

0

0.010909

0.161585

328

16

56

20.5

0.767273

0.064024

0

0.205882

0

1

0

false

0

0.454545

0

0.454545

0

null

0

null

0

1

0

1

0

2

c3d49173df679851d73eb5d1c962ff92c378def9

1,824

py

Python

locust/locustfile.py

FannySundlofSopra/locust-on-azure

09a5fb7e928ffacf2f4422c9c5bd92cbb88ae80c

[ "MIT" ]

null

locust/locustfile.py

FannySundlofSopra/locust-on-azure

09a5fb7e928ffacf2f4422c9c5bd92cbb88ae80c

[ "MIT" ]

null

locust/locustfile.py

FannySundlofSopra/locust-on-azure

09a5fb7e928ffacf2f4422c9c5bd92cbb88ae80c

[ "MIT" ]

null

from locust import HttpUser, task, between from locust.contrib.fasthttp import FastHttpUser class TestUser(FastHttpUser): @task def viewPage(self): self.client.get('/insamlingar/varldshjalte') self.client.get('/webpack-runtime-72a2735cd8a1a24911f7.js') self.client.get('/framework-3f3b31f3b6fc5c344dca.js') self.client.get('/app-9cd3bdb66ddb863d5142.js') self.client.get('/styles-407fe62976dc5310c43e.js') self.client.get('/commons-16f36d497b002bdafac4.js') self.client.get('/9c31700cf97414fc836e3860377cce64191bc134-9c53b563cbb98335accd.js.js') self.client.get('/component---src-templates-page-template-tsx-6c62c930e383b3f3ce6b.js') self.client.get('/page-data/insamlingar/varldshjalte/page-data.json') self.client.get('/page-data/sq/d/1014302582.json') self.client.get('/page-data/sq/d/1203226985.json') self.client.get('/page-data/sq/d/1677386854.json') self.client.get('/page-data/sq/d/187643644.json') self.client.get('/page-data/sq/d/28066254.json') self.client.get('/page-data/sq/d/3200608417.json') self.client.get('/page-data/sq/d/3296809872.json') self.client.get('/page-data/sq/d/538779877.json') self.client.get('/page-data/app-data.json') self.client.get('/logo.svg') self.client.get('/eng-flag.svg') self.client.get('/logo-rh-sm.svg') self.client.get('/logo-rh-md.svg') self.client.get('/icon-chevron.svg') self.client.get('/logo-90-konto.png') self.client.get('/icon-facebook.svg') self.client.get('/icon-instagram.svg') self.client.get('/icon-twitter.svg') self.client.get('/logo-svt.png') self.client.get('/logo-sr.png') self.client.get('/logo-ur.png')

49.297297

95

0.660088

237

1,824

5.080169

0.291139

0.249169

0.32392

0.141196

0.397841

0.243355

0.186047

0

0.12459

0.163925

1,824

37

96

49.297297

0.664918

0

0.450411

0.352877

0

1

0.028571

false

0

0.057143

0

0.114286

0

null

1

0

null

0

2

c3d6fc016b75ad1d8fdff7a053452786b343e77c

251

py

Python

lino_book/projects/lydia/tests/dumps/18.12.0/invoicing_plan.py

lino-framework/lino_book

4eab916832cd8f48ff1b9fc8c2789f0b437da0f8

[ "BSD-2-Clause" ]

3

2016-08-25T05:58:09.000Z

2019-12-05T11:13:45.000Z

lino_book/projects/lydia/tests/dumps/18.12.0/invoicing_plan.py

lino-framework/lino_book

4eab916832cd8f48ff1b9fc8c2789f0b437da0f8

[ "BSD-2-Clause" ]

18

2016-11-12T21:38:58.000Z

2019-12-03T17:54:38.000Z

lino_book/projects/lydia/tests/dumps/18.12.0/invoicing_plan.py

lino-framework/lino_book

4eab916832cd8f48ff1b9fc8c2789f0b437da0f8

[ "BSD-2-Clause" ]

9

2016-10-15T11:12:33.000Z

2021-09-22T04:37:37.000Z

# -*- coding: UTF-8 -*- logger.info("Loading 1 objects to table invoicing_plan...") # fields: id, user, today, journal, max_date, partner, course loader.save(create_invoicing_plan(1,6,date(2015,3,1),1,None,None,None)) loader.flush_deferred_objects()

35.857143

71

0.737052

40

251

4.475

0.75

0.145251

0

0.048246

0.091633

251

6

72

41.833333

0.736842

0.322709

0

0.263473

0

1

0

true

0

null

0

1

0

null

0

1

0

2

c3dac7924e9e075694dc1f3a5fa25da3cbacbc9b

1,488

py

Python

api/models.py

AnuragTimilsina/SchoolSystemAPI

9ac55dc862953a075dbdc69d5c4176742d8da5b6

[ "MIT" ]

null

api/models.py

AnuragTimilsina/SchoolSystemAPI

9ac55dc862953a075dbdc69d5c4176742d8da5b6

[ "MIT" ]

null

api/models.py

AnuragTimilsina/SchoolSystemAPI

9ac55dc862953a075dbdc69d5c4176742d8da5b6

[ "MIT" ]

1

2021-07-16T11:28:36.000Z

from django.db import models from users.models import User class Assignment(models.Model): title = models.CharField(max_length=50) teacher = models.ForeignKey(User, on_delete=models.CASCADE) def __str__(self): return self.title class GradedAssignment(models.Model): student = models.ForeignKey(User, on_delete=models.CASCADE) assignment = models.ForeignKey(Assignment, on_delete=models.SET_NULL, blank=True, null=True) grade = models.FloatField() def __str__(self): return self.student.username class Choice(models.Model): title = models.CharField(max_length=50) def __str__(self): return self.title class Question(models.Model): question = models.CharField(max_length=200) choices = models.ManyToManyField(Choice) answer = models.ForeignKey(Choice, on_delete=models.CASCADE, related_name='answer', blank=True, null=True) assignment = models.ForeignKey(Assignment, on_delete=models.CASCADE, related_name='questions', blank=True, null=True) order = models.SmallIntegerField() def __str__(self): return self.question

30.367347

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0.551075

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5.746377

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1,488

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false

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null

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0

1

0

2

c3e9f4343126ec46f0c5a89073232da6448d66bd

3,118

py

Python

shell/core/help.py

dromero1452/shellsploit-framework

38ce78542fd2dd2ac30f6567972d695ede1e4709

[ "MIT" ]

2

2019-12-23T15:47:02.000Z

2020-01-06T09:51:57.000Z

shell/core/help.py

badfish5150/shellsploit-framework

22bb910d33379ca29ddd10ba93a63e9ff1eab99d

[ "MIT" ]

null

shell/core/help.py

badfish5150/shellsploit-framework

22bb910d33379ca29ddd10ba93a63e9ff1eab99d

[ "MIT" ]

1

2021-12-23T16:35:24.000Z

# ------------------Bombermans Team---------------------------------# # Author : B3mB4m # Concat : b3mb4m@protonmail.com # Project : https://github.com/b3mb4m/Shellsploit # LICENSE : https://github.com/b3mb4m/Shellsploit/blob/master/LICENSE # ------------------------------------------------------------------# from .color import * def mainhelp(): print (bcolors.GREEN + """ Usage Commands =============== \tCommands Description \t------------ ------------- \thelp Help menu \tos Command directly ur computer \tuse Select Module For Use \tclear Clear the menu \tshow shellcodes Show Shellcodes of Current Database \tshow backdoors Show Backdoors of Current Database \tshow injectors Show Injectors(Shellcode,dll,so etc..) \tshow encoders Show Encoders(Py,Ruby,PHP,Shellcode etc..) """) def shellcodehelp(): print (bcolors.GREEN + """ Shellcode Commands =================== \tCommands Description \t------------ ------------- \tback Exit Current Module \tset Set Value Of Options To Modules \tunset Unset Value Of Options To Modules \tip Get IP address(Requires net connection) \tos Command directly ur computer \tclear Clear the menu \tdisas Disassembly the shellcode(Support : x86/x64) \twhatisthis Learn which kind of shellcode it is \titeration Encoder iteration time \tgenerate Generate shellcode \toutput Save option to shellcode(txt,py,c,cpp,exe,raw,dll) \tshow encoders List all obfucscation encoders \tshow options Show Current Options Of Selected Module """) def injectorhelp(): print (bcolors.GREEN + """ Injector Commands =================== \tCommands Description \t------------ ------------- \tset Set Value Of Options To Modules \tunset Unset Value Of Options To Modules \thelp Help menu \tback Exit Current Module \tos Command directly ur computer \tpids Get PID list of computer \tgetpid Get specific PID on list(Ex. getpid Python) \tclear Clear the menu \tinject Start injector \tshow options Show current options of selected module \tshow shellcode Show current shellcode of selected module """) def backdoorshelp(): print (bcolors.GREEN + """ Injector Commands =================== \tCommands Description \t------------ ------------- \tset Set Value Of Options To Modules \tunset Unset Value Of Options To Modules \thelp Help menu \tback Exit Current Module \tos Command directly ur computer \tclear Clear the menu \tgenerate Generate backdoor \tshow options Show current options of selected module """)

36.255814

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0.536562

301

3,118

5.55814

0.398671

0.025105

0.050209

0.057382

0.429169

0.375374

0.292887

0.254632

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0.005652

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0.057971

0

null

0

1

0

null

0

1

0

2

7f01e3a718f45996d405a272db21ce74f4e2b2d9

553

py

Python

launch/test.py

a-tharva/LaunchEnv

3f138d863e961c541513539c499574122fbd8b9b

[ "MIT" ]

1

2022-01-25T04:44:22.000Z

launch/test.py

a-tharva/LaunchEnv

3f138d863e961c541513539c499574122fbd8b9b

[ "MIT" ]

null

launch/test.py

a-tharva/LaunchEnv

3f138d863e961c541513539c499574122fbd8b9b

[ "MIT" ]

null

#import subprocess # #subprocess.Popen(f'C:\Windows\system32\calc.exe') # # # # # # # #\ is a escape character. You have three options. # #1) use /. This, as a bonus works for linux as well: # 'D:/xxx/xxxx/asd/asd.exe' # #2) escape the backslash # 'D:\\xxx\\xxxx\\asd\\asd.exe' # #3) use raw strings: #r'D:\xxx\xxxx\asd\asd.exe' #import json # #with open('/src/environment/data.json', 'r+') as f: # lst = json.load(f) # print(lst.index(bee)) #import pyfiglet # #result = pyfiglet.figlet_format("fort", font = "small" ) #print(result)

14.945946

58

0.631103

86

553

4.046512

0.639535

0.034483

0.068966

0.094828

0.146552

0

0.010846

0.166365

553

36

59

15.361111

0.744035

0.882459

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null

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null

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null

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null

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true

0

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0

null

0

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0

null

0

1

0

2

7f114c9480739ed4ffd7edf4c037a334bd96a0d0

1,286

py

Python

passl/hooks/evaluate_hook.py

LielinJiang/PASSL

56be08aa50c4883e12b2a728103ccb56dd19b047

[ "Apache-2.0" ]

null

passl/hooks/evaluate_hook.py

LielinJiang/PASSL

56be08aa50c4883e12b2a728103ccb56dd19b047

[ "Apache-2.0" ]

null

passl/hooks/evaluate_hook.py

LielinJiang/PASSL

56be08aa50c4883e12b2a728103ccb56dd19b047

[ "Apache-2.0" ]

null

# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserve. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from tqdm import tqdm from collections import OrderedDict import paddle import paddle.distributed as dist from .hook import Hook from .builder import HOOKS from ..utils.logger import get_logger from ..utils.misc import AverageMeter @HOOKS.register() class EvaluateHook(Hook): def __init__(self, init_eval=False, eval_kargs=None): if eval_kargs is None: self.eval_kargs = {} else: self.eval_kargs = eval_kargs self.init_eval = init_eval def run_begin(self, trainer): if self.init_eval: trainer.val(**self.eval_kargs) def train_epoch_end(self, trainer): trainer.val(**self.eval_kargs)

31.365854

74

0.724728

186

1,286

4.908602

0.543011

0.069003

0.056955

0.035049

0.050383

0

0.007782

0.200622

1,286

40

75

32.15

0.88035

0.452566

0

0.095238

0

1

0.142857

false

0

0.380952

0

0.571429

0

null

0

null

0

1

0

1

0

2

7f223ce0b0a9bae329fb3c8299587d1e8fad0fa3

1,576

py

Python

edinet_baseline_hourly_module/edinet_models/pyEMIS/ConsumptionModels/constantMonthlyModel.py

BeeGroup-cimne/module_edinet

0cda52e9d6222a681f85567e9bf0f7e5885ebf5e

[ "MIT" ]

null

edinet_baseline_hourly_module/edinet_models/pyEMIS/ConsumptionModels/constantMonthlyModel.py

BeeGroup-cimne/module_edinet

0cda52e9d6222a681f85567e9bf0f7e5885ebf5e

[ "MIT" ]

13

2021-03-25T22:24:38.000Z

2022-03-12T00:56:45.000Z

edinet_baseline_hourly_module/edinet_models/pyEMIS/ConsumptionModels/constantMonthlyModel.py

BeeGroup-cimne/module_edinet

0cda52e9d6222a681f85567e9bf0f7e5885ebf5e

[ "MIT" ]

1

2019-03-13T09:49:56.000Z

#This is a class because it stores its model parameters and has a 'prediction' function which returns predictions for input data import numpy as np from baseModel import baseModel, ModellingError as me from datetime import datetime import pandas as pd class ModellingError(me): pass class ConstantMonthlyModel(baseModel): """ A constant consumption model: consumption is estimated as the average of all input data Input_data must respond to the method call 'consumption' """ n_parameters = 1 def __init__(self, data): if len(data) <= 11:#(self.n_parameters + 2): self.mean = np.nan self.std = np.nan #raise ModellingError, "Not enough input data" if 'temperature' in data.dtype.names: x = data['temperature'] self.xrange = [min(x), max(x)] data_pd = pd.DataFrame.from_records(data) data_pd['ts'] = data_pd['timestamp'].apply(datetime.fromtimestamp) data_pd = data_pd.set_index(pd.DatetimeIndex(data_pd['ts'])) data_pd.sort_index(inplace=True) last_month = data_pd[-1:].index.month+1 if data_pd[-1:].index.month != 12 else 1 self.mean = data_pd[data_pd.index.month==last_month]['consumption'].mean() self.std = data_pd[data_pd.index.month==last_month]['consumption'].std() def prediction(self, independent_data): return np.array([self.mean] * len(independent_data)) def simulation(self, independent_data): return self.std * np.random.randn(independent_data.size) + self.mean def parameters(self): return {'mean': self.mean, 'std': self.std}

37.52381

128

0.701142

227

1,576

4.735683

0.400881

0.072558

0.027907

0.033488

0.135814

0.07814

0

0.007764

0.182741

1,576

42

129

37.52381

0.826863

0.217005

0

0.052502

0

1

0.148148

false

0.037037

0.148148

0.111111

0.518519

0

null

0

null

0

1

0

2

6134e4f18a0efb8caf473f314596ff6aa401c746

597

py

Python

ml-work/test.py

numankh/HypeBeastDashboard

8b30fe2cb972a603b6ce1d84004b418d52471a7e

[ "MIT" ]

null

ml-work/test.py

numankh/HypeBeastDashboard

8b30fe2cb972a603b6ce1d84004b418d52471a7e

[ "MIT" ]

null

ml-work/test.py

numankh/HypeBeastDashboard

8b30fe2cb972a603b6ce1d84004b418d52471a7e

[ "MIT" ]

null

# linear regression feature importance from sklearn.datasets import make_regression from sklearn.linear_model import LinearRegression from matplotlib import pyplot # define dataset X, y = make_regression(n_samples=1000, n_features=10, n_informative=5, random_state=1) # define the model model = LinearRegression() # fit the model model.fit(X, y) # get importance importance = model.coef_ # summarize feature importance for i,v in enumerate(importance): print('Feature: %0d, Score: %.5f' % (i,v)) # plot feature importance pyplot.bar([x for x in range(len(importance))], importance) pyplot.show()

31.421053

86

0.778894

86

597

5.313953

0.534884

0.111597

0.056893

0

0.019048

0.120603

597

18

87

33.166667

0.851429

0.251256

0

0.056948

0

1

0

false

0

0.545455

0

0.545455

0.090909

0

null

0

null

0

1

0

1

0

2

614115a92e300f92dd37eb72064e8a55346da282

228

py

Python

djangopeople/djangopeople/management/commands/recluster.py

timgraham/djangopeople

de595ac8d7e8540871c282294a332a835ac0c177

[ "MIT" ]

null

djangopeople/djangopeople/management/commands/recluster.py

timgraham/djangopeople

de595ac8d7e8540871c282294a332a835ac0c177

[ "MIT" ]

null

djangopeople/djangopeople/management/commands/recluster.py

timgraham/djangopeople

de595ac8d7e8540871c282294a332a835ac0c177

[ "MIT" ]

null

from django.core.management.base import NoArgsCommand from ... import clustering class Command(NoArgsCommand): help = "Re-runs the server-side clustering" def handle_noargs(self, **options): clustering.run()

20.727273

53

0.723684

27

228

6.074074

0.814815

0

0.175439

228

10

54

22.8

0.87234

0

0.149123

0

1

0.166667

false

0

0.333333

0

0.833333

0

1

0

null

0

null

0

1

0

2

61419b6e24bcba1a05210251891441000213b61a

1,557

py

Python

WeLearn/M3-Python/L1-Python_Intro/hello.py

Sheldon101/mycssi2019labs

4ff1ecda475a54be79ee9ce44f1dac77418df2db

[ "Apache-2.0" ]

null

WeLearn/M3-Python/L1-Python_Intro/hello.py

Sheldon101/mycssi2019labs

4ff1ecda475a54be79ee9ce44f1dac77418df2db

[ "Apache-2.0" ]

null

WeLearn/M3-Python/L1-Python_Intro/hello.py

Sheldon101/mycssi2019labs

4ff1ecda475a54be79ee9ce44f1dac77418df2db

[ "Apache-2.0" ]

null

#num1=int(raw_input("Enter num #1:")) #num2=int(raw_input("Enter num #2:")) #total= num1 + num2 #print("The sum is: "+ str(total)) # need to be a string so computer can read it # all strings can be integers but not all integers can be strings # num = int(raw_input("Enter a number:")) # if num>0: # print("That's a postive num!") # elif num<0: # print("That's a negative num!") # else: # print("Zero is neither postive nor negative!") # string = "hello" # for letter in string: # print(letter.upper()) # # for i in range(5): repaeted executed depend on how may letters in the string so hello would be 5 # print(i) # # x=1 # while x <=5: # print(x) # x=x+1 # my_name= "B" # friend1= "A" # friend2= "J" # friend3= "M" # print( # "My name is %s and my friends are %s, %s, and %s" % # (my_name,friend1,friend2,friend3 ) # ) # # name= "C" # age= 19 # print("My name is "+ name + "and I'm " + str(age)+"years old.") one way # print("My name is %s and I'm %s years old." %(name,age)) second way # def greetAgent(): # print("B. James Bond.") # greetAgent() always call the func # # def greetAgent(first_name, last_name): # print("%s. %s. %s." % (last_name, first_name, last_name)) # One way # # # def createAgentGreeting(first_name, last_name): # return"%s. %s. %s." % (last_name, first_name, last_name) # # print(createAgentGreeting("Citlally", "G")) # second way word = "computerz" print(word[:5]) # prints "compu" print(word[:-1]) # prints "computer" print(word[4:]) # prints "uterz" print(word[-3:]) # prints "erz"

26.389831

98

0.626204

252

1,557

3.809524

0.396825

0.05

0.054167

0.070833

0.192708

0.125

0.058333

0

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1,557

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0.742653

0.869621

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false

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0

null

0

1

0

null

0

1

0

2

615eb18c148fdcb7f52ffdef75ab23706867bb3b

2,268

py

Python

tmpFile.py

yingyulou/tmpFile

557e74351a0412b70c0ef1179479920e86b31bc4

[ "MIT" ]

2

2019-06-11T10:30:35.000Z

2020-08-27T07:05:41.000Z

tmpFile.py

yingyulou/tmpFile

557e74351a0412b70c0ef1179479920e86b31bc4

[ "MIT" ]

null

tmpFile.py

yingyulou/tmpFile

557e74351a0412b70c0ef1179479920e86b31bc4

[ "MIT" ]

1

2019-03-17T02:52:21.000Z

#!/bin/env python # coding=UTF-8 ''' DESCRIPTION tmpFile A module for creating temporary files and folders. VERSION 1.4.0 LATEST UPDATE 2019.3.4 ''' # Import Python Lib from os import remove, mkdir from os.path import join, exists, abspath from uuid import uuid4 from shutil import rmtree ################################################################################ # Tmp File ################################################################################ class tmpFile(object): ''' DESCRIPTION Create a tmp file. USAGE from tmpFile import tmpFile with tmpFile() as tmpFileName: with open(tmpFileName, 'w') as fo: ... # File: "tmpFileName" will be deleted automatically (if exist) ARGUMENT * ext = '', str The extension of the tempfile. * path = './', str The path of the tempfile. ''' __slots__ = ('__tmpFileName',) def __init__(self, ext = '', path = './'): self.__tmpFileName = abspath(join(path, str(uuid4()) + ext)) def __enter__(self): return self.__tmpFileName def __exit__(self, *exc_info): if exists(self.__tmpFileName): remove(self.__tmpFileName) ################################################################################ # Tmp Folder ################################################################################ class tmpFolder(object): ''' DESCRIPTION Create a tmp folder. USAGE from tmpFile import tmpFolder with tmpFolder() as tmpFolderPath: ... # Folder: "tmpFolderPath" will be deleted automatically (if exist) ARGUMENT * path = './', str The path of the tmp folder. ''' __slots__ = ('__tmpFolderName',) def __init__(self, path = './'): self.__tmpFolderName = abspath(join(path, str(uuid4()))) def __enter__(self): mkdir(self.__tmpFolderName) return self.__tmpFolderName def __exit__(self, *exc_info): if exists(self.__tmpFolderName): rmtree(self.__tmpFolderName)

19.220339

80

0.479718

199

2,268

5.18593

0.38191

0.082364

0.044574

0.046512

0.271318

0.174419

0.137597

0.05814

0

0.00814

0.295855

2,268

118

81

19.220339

0.638071

0.369489

0

0.173913

0

0.035874

0

1

0.26087

false

0

0.173913

0.043478

0.695652

0

null

0

null

0

1

0

1

0

2

615ee1b639ae928638b3d914af60405b9ed2a109

364

py

Python

hw_asr/augmentations/wave_augmentations/__init__.py

isdevnull/asr_hw

9650506b80d4e38574b63390f79a6f01786b7d18

[ "MIT" ]

null

hw_asr/augmentations/wave_augmentations/__init__.py

isdevnull/asr_hw

9650506b80d4e38574b63390f79a6f01786b7d18

[ "MIT" ]

null

hw_asr/augmentations/wave_augmentations/__init__.py

isdevnull/asr_hw

9650506b80d4e38574b63390f79a6f01786b7d18

[ "MIT" ]

null

from hw_asr.augmentations.wave_augmentations.Gain import Gain from hw_asr.augmentations.wave_augmentations.ImpulseResponse import ImpulseResponse from hw_asr.augmentations.wave_augmentations.Noise import GaussianNoise from hw_asr.augmentations.wave_augmentations.TimeStretch import TimeStretch __all__ = [ "Gain", "ImpulseResponse", "GaussianNoise" ]

33.090909

83

0.837912

40

364

7.325

0.3

0.081911

0.122867

0.300341

0.532423

0

0.098901

364

10

84

36.4

0.893293

0

0.087912

0

1

0

false

0

0.444444

0

0.444444

0

null

0

1

0

null

0

1

0

2

6172cb90d3acbe6eb936a5e0311837e45f59b5d1

1,217

py

Python

setup.py

kimvanwyk/red-mail

78dc763e5b5f09eed820a11233299dd2c7b0190b

[ "MIT" ]

null

setup.py

kimvanwyk/red-mail

78dc763e5b5f09eed820a11233299dd2c7b0190b

[ "MIT" ]

null

setup.py

kimvanwyk/red-mail

78dc763e5b5f09eed820a11233299dd2c7b0190b

[ "MIT" ]

null

from setuptools import setup, find_packages import versioneer with open("README.md", "r") as f: long_description = f.read() setup( name="redmail", version=versioneer.get_version(), cmdclass=versioneer.get_cmdclass(), author="Mikael Koli", author_email="koli.mikael@gmail.com", url="https://github.com/Miksus/red-mail.git", packages=find_packages(), description="Email sending library", long_description=long_description, long_description_content_type="text/markdown", classifiers=[ "Topic :: Communications :: Email", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Intended Audience :: Developers", "Intended Audience :: Customer Service", "Intended Audience :: Financial and Insurance Industry", ], include_package_data=True, # for MANIFEST.in python_requires='>=3.6.0', install_requires = [ 'jinja2', ], )

30.425

64

0.637634

129

1,217

5.899225

0.596899

0.149803

0.197109

0.204993

0

0.017003

0.226787

1,217

39

65

31.205128

0.791711

0.012325

0

0.058824

0

0.451667

0.0175

0

1

0

false

0

0.058824

0

0.058824

0

null

0

1

0

null

0

2

61752f9c0020e5238d87c07d19b74f84c1ea9f90

4,286

py

Python

tests_requre/service/test_views.py

IceWreck/packit-service

ab8a3ae7b7f078f4a5bf3465516c1abc894fe3dc

[ "MIT" ]

null

tests_requre/service/test_views.py

IceWreck/packit-service

ab8a3ae7b7f078f4a5bf3465516c1abc894fe3dc

[ "MIT" ]

2

2020-09-02T08:14:27.000Z

2020-09-03T03:16:27.000Z

tests_requre/service/test_views.py

IceWreck/packit-service

ab8a3ae7b7f078f4a5bf3465516c1abc894fe3dc

[ "MIT" ]

null

from flask import url_for from flexmock import flexmock from packit_service import models from packit_service.models import CoprBuildModel from packit_service.service.views import _get_build_info from tests_requre.conftest import SampleValues def test_get_build_logs_for_build_pr(clean_before_and_after, a_copr_build_for_pr): flexmock(models).should_receive("optional_time").and_return( "2020-05-19 16:17:14 UTC" ) response = _get_build_info(a_copr_build_for_pr, build_description="COPR build") assert "We can't find any info" not in response assert "Builds for the-namespace/the-repo-name: PR #342" in response assert "2020-05-19 16:17:14 UTC" in response assert a_copr_build_for_pr.status in response assert a_copr_build_for_pr.target in response assert str(a_copr_build_for_pr.srpm_build_id) in response assert a_copr_build_for_pr.build_logs_url in response def test_get_build_logs_for_build_branch_push( clean_before_and_after, a_copr_build_for_branch_push ): flexmock(models).should_receive("optional_time").and_return( "2020-05-19 16:17:14 UTC" ) response = _get_build_info( a_copr_build_for_branch_push, build_description="COPR build" ) assert "We can't find any info" not in response assert "Builds for the-namespace/the-repo-name: branch build-branch" in response assert "2020-05-19 16:17:14 UTC" in response assert a_copr_build_for_branch_push.status in response assert a_copr_build_for_branch_push.target in response assert str(a_copr_build_for_branch_push.srpm_build_id) in response assert a_copr_build_for_branch_push.build_logs_url in response def test_get_build_logs_for_build_release( clean_before_and_after, a_copr_build_for_release ): flexmock(models).should_receive("optional_time").and_return( "2020-05-19 16:17:14 UTC" ) response = _get_build_info(a_copr_build_for_release, build_description="COPR build") assert "We can't find any info" not in response assert "Builds for the-namespace/the-repo-name: release v1.0.2" in response assert "2020-05-19 16:17:14 UTC" in response assert a_copr_build_for_release.status in response assert a_copr_build_for_release.target in response assert str(a_copr_build_for_release.srpm_build_id) in response assert a_copr_build_for_release.build_logs_url in response def test_srpm_logs_view(client, clean_before_and_after, srpm_build_model): # Logs view uses the id of the SRPMBuildModel not CoprBuildModel response = client.get( url_for("builds.get_srpm_build_logs_by_id", id_=srpm_build_model.id) ) response = response.data.decode() assert "SRPM build logs" in response assert str(srpm_build_model.id) in response assert "some\nboring\nlogs" in response def test_copr_build_info_view(client, clean_before_and_after, multiple_copr_builds): flexmock(models).should_receive("optional_time").and_return( "2020-05-19 16:17:14 UTC" ) build = CoprBuildModel.get_by_build_id(123456, SampleValues.chroots[0]) build.set_build_logs_url( "https://copr.somewhere/results/owner/package/target/build.logs" ) response = client.get(url_for("builds.copr_build_info", id_=str(build.id))) response = response.data.decode() assert "Builds for the-namespace/the-repo-name: PR #342" in response assert "2020-05-19 16:17:14 UTC" in response assert build.status in response assert build.target in response assert str(build.srpm_build_id) in response assert build.build_logs_url in response def test_koji_build_info_view(client, clean_before_and_after, a_koji_build_for_pr): flexmock(models).should_receive("optional_time").and_return( "2020-05-19 16:17:14 UTC" ) response = client.get( url_for("builds.koji_build_info", id_=str(a_koji_build_for_pr.id)) ) response = response.data.decode() assert "Builds for the-namespace/the-repo-name: PR #342" in response assert "2020-05-19 16:17:14 UTC" in response assert a_koji_build_for_pr.status in response assert a_koji_build_for_pr.target in response assert str(a_koji_build_for_pr.srpm_build_id) in response assert a_koji_build_for_pr.build_logs_url in response

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0

null

0

1

0

null

0

1

0

2

6178677cf010170ac4ef5c808891d12fe972a547

1,088

py

Python

shopyoapi/uploads.py

Maurilearn/learnings

0af03e5646c9053b3cfc27465983ce466ad2f3cb

[ "MIT" ]

null

shopyoapi/uploads.py

Maurilearn/learnings

0af03e5646c9053b3cfc27465983ce466ad2f3cb

[ "MIT" ]

null

shopyoapi/uploads.py

Maurilearn/learnings

0af03e5646c9053b3cfc27465983ce466ad2f3cb

[ "MIT" ]

null

from werkzeug.security import generate_password_hash from shopyoapi.init import db from app import app from modules.auth.models import User from modules.school.models import Setting # from modules.settings.models import Settings def add_admin(name, email, password): with app.app_context(): admin = User( name=name, email=email, role='admin' ) admin.set_hash(password) admin.insert() print('[x] added admin:', name, email, password) ''' def add_setting(name, value): with app.app_context(): if Settings.query.filter_by(setting=name).first(): s = Settings.query.get(name) s.value = value db.session.commit() else: s = Settings(setting=name, value=value) db.session.add(s) db.session.commit() ''' def add_setting(name, value): with app.app_context(): s = Setting( name=name, value=value) s.insert() print('[x] Added name:{} with value:{}'.format(name, value))

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68

0.59375

133

1,088

4.781955

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0.04717

0.080189

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0.290441

1,088

41

68

26.536585

0.823834

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false

0.181818

0.227273

0

0.318182

0.090909

0

null

0

1

0

null

0

1

0

2

617b72d47fe1a620e75af426de3f519c6430df3c

858

py

Python

scofield/tax/models.py

howiworkdaily/scofield-project

f0daaf785c344a0da1f5b624518c9fa6c0514745

[ "BSD-3-Clause" ]

4

2016-04-10T13:37:58.000Z

2018-06-11T18:49:29.000Z

scofield/tax/models.py

howiworkdaily/scofield-project

f0daaf785c344a0da1f5b624518c9fa6c0514745

[ "BSD-3-Clause" ]

null

scofield/tax/models.py

howiworkdaily/scofield-project

f0daaf785c344a0da1f5b624518c9fa6c0514745

[ "BSD-3-Clause" ]

2

2015-04-08T19:52:19.000Z

2021-02-10T08:08:19.000Z

from django.db import models class TaxClass(models.Model): """ Tax rate for a product. """ title = models.CharField(max_length=100) description = models.CharField(max_length=200, help_text='Description of products to be taxed') def __unicode__(self): return self.title class Meta: verbose_name = "Tax Class" verbose_name_plural = "Tax Classes" class Tax(models.Model): """ Tax Percentage """ taxclass = models.ForeignKey(TaxClass) percentage = models.DecimalField(max_digits=7, decimal_places=2) def _display_percentage(self): return "%#2.2f%%" % (100*self.percentage) _display_percentage.short_description = 'Percentage' display_percentage = property(_display_percentage) class Meta: verbose_name = "Tax" verbose_name_plural = "Tax"

25.235294

99

0.670163

99

858

5.575758

0.484848

0.07971

0.050725

0.086957

0.083333

0

0.019637

0.228438

858

33

100

26

0.814199

0.044289

0

0.105263

0

0.100254

0

1

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false

0

0.052632

0.105263

0.736842

0

null

0

null

0

1

0

2

6184ff3e6d5499ae2279934df653ba237021e92e

328

py

Python

rh/apps/case_studies/cms_apps.py

rapidpro/chpro-microsite

4e1d1210b49ec60ab0711d78235bf45eeb5c0275

[ "BSD-3-Clause" ]

null

rh/apps/case_studies/cms_apps.py

rapidpro/chpro-microsite

4e1d1210b49ec60ab0711d78235bf45eeb5c0275

[ "BSD-3-Clause" ]

108

2018-01-30T15:26:18.000Z

2021-06-10T17:29:57.000Z

rh/apps/case_studies/cms_apps.py

rapidpro/chpro-microsite

4e1d1210b49ec60ab0711d78235bf45eeb5c0275

[ "BSD-3-Clause" ]

null

from cms.app_base import CMSApp from cms.apphook_pool import apphook_pool class CaseStudiesApphook(CMSApp): app_name = "case_studies" name = "Case Studies Application" def get_urls(self, page=None, language=None, **kwargs): return ["rh.apps.case_studies.urls"] apphook_pool.register(CaseStudiesApphook)

23.428571

59

0.75

43

328

5.534884

0.604651

0.138655

0.12605

0

0.155488

328

13

60

25.230769

0.859206

0

0.185976

0.07622

0

1

0.125

false

0

0.25

0.125

0.875

0

null

0

null

0

1

0

2

619239cbab47f38d61f102bfd2c870af018bffa8

407

py

Python

Chapter05/restful_python_2_05/Django01/games_service/games/models.py

PacktPublishing/Hands-On-RESTful-Python-Web-Services-Second-Edition

db8212c90f6394d8ee6fadb038e2b01ef83c963d

[ "MIT" ]

45

2018-12-21T01:02:16.000Z

2022-03-18T08:23:13.000Z

Chapter05/restful_python_2_05/Django01/games_service/games/models.py

PacktPublishing/Hands-On-RESTful-Python-Web-Services-Second-Edition

db8212c90f6394d8ee6fadb038e2b01ef83c963d

[ "MIT" ]

12

2020-02-11T23:32:33.000Z

2021-06-10T22:29:56.000Z

Chapter05/restful_python_2_05/Django01/games_service/games/models.py

PacktPublishing/Hands-On-RESTful-Python-Web-Services-Second-Edition

db8212c90f6394d8ee6fadb038e2b01ef83c963d

[ "MIT" ]

29

2019-02-11T16:45:56.000Z

2022-03-29T12:43:27.000Z

from django.db import models class Game(models.Model): created_timestamp = models.DateTimeField(auto_now_add=True) name = models.CharField(max_length=200) release_date = models.DateTimeField() esrb_rating = models.CharField(max_length=150) played_once = models.BooleanField(default=False) played_times = models.IntegerField(default=0) class Meta: ordering = ('name',)

29.071429

63

0.732187

50

407

5.78

0.7

0.131488

0.124567

0.16609

0

0.020649

0.167076

407

13

64

31.307692

0.831858

0

0.009828

0

1

0

false

0

0.1

0

0.9

0

null

0

1

0

null

0

1

0

2

61938ef87f807b50b7ef975df7fc7cd96772c7e3

7,100

py

Python

old_py2/controllers/datafeed_controller.py

bovlb/the-blue-alliance

29389649d96fe060688f218d463e642dcebfd6cc

[ "MIT" ]

null

old_py2/controllers/datafeed_controller.py

bovlb/the-blue-alliance

29389649d96fe060688f218d463e642dcebfd6cc

[ "MIT" ]

null

old_py2/controllers/datafeed_controller.py

bovlb/the-blue-alliance

29389649d96fe060688f218d463e642dcebfd6cc

[ "MIT" ]

null

import logging import os import datetime import tba_config import time import json from google.appengine.api import taskqueue from google.appengine.ext import ndb from google.appengine.ext import webapp from google.appengine.ext.webapp import template from consts.event_type import EventType from consts.media_type import MediaType from consts.media_tag import MediaTag from datafeeds.datafeed_fms_api import DatafeedFMSAPI from datafeeds.datafeed_tba import DatafeedTba from datafeeds.datafeed_resource_library import DatafeedResourceLibrary from helpers.district_manipulator import DistrictManipulator from helpers.event_helper import EventHelper from helpers.event_manipulator import EventManipulator from helpers.event_details_manipulator import EventDetailsManipulator from helpers.event_team_manipulator import EventTeamManipulator from helpers.match_manipulator import MatchManipulator from helpers.match_helper import MatchHelper from helpers.award_manipulator import AwardManipulator from helpers.media_manipulator import MediaManipulator from helpers.team_manipulator import TeamManipulator from helpers.district_team_manipulator import DistrictTeamManipulator from helpers.robot_manipulator import RobotManipulator from helpers.event.offseason_event_helper import OffseasonEventHelper from helpers.suggestions.suggestion_creator import SuggestionCreator from models.district_team import DistrictTeam from models.event import Event from models.event_details import EventDetails from models.event_team import EventTeam from models.media import Media from models.robot import Robot from models.sitevar import Sitevar from models.team import Team from sitevars.website_blacklist import WebsiteBlacklist class DistrictRankingsGet(webapp.RequestHandler): """ Fetch district rankings from FIRST This data does not have full pre-event point breakdowns, but it does contain things like CMP advancement """ def get(self, district_key): class TbaVideosEnqueue(webapp.RequestHandler): """ Handles enqueing grabing tba_videos for Matches at individual Events. """ def get(self): events = Event.query() for event in events: taskqueue.add( url='/tasks/get/tba_videos/' + event.key_name, method='GET') template_values = { 'event_count': Event.query().count(), } if 'X-Appengine-Taskname' not in self.request.headers: # Only write out if not in taskqueue path = os.path.join(os.path.dirname(__file__), '../templates/datafeeds/tba_videos_enqueue.html') self.response.out.write(template.render(path, template_values)) class TbaVideosGet(webapp.RequestHandler): """ Handles reading a TBA video listing page and updating the match objects in the datastore as needed. """ def get(self, event_key): df = DatafeedTba() event = Event.get_by_id(event_key) match_filetypes = df.getVideos(event) if match_filetypes: matches_to_put = [] for match in event.matches: if match.tba_videos != match_filetypes.get(match.key_name, []): match.tba_videos = match_filetypes.get(match.key_name, []) match.dirty = True matches_to_put.append(match) MatchManipulator.createOrUpdate(matches_to_put) tbavideos = match_filetypes.items() else: logging.info("No tbavideos found for event " + event.key_name) tbavideos = [] template_values = { 'tbavideos': tbavideos, } if 'X-Appengine-Taskname' not in self.request.headers: # Only write out if not in taskqueue path = os.path.join(os.path.dirname(__file__), '../templates/datafeeds/tba_videos_get.html') self.response.out.write(template.render(path, template_values)) class HallOfFameTeamsGet(webapp.RequestHandler): """ Handles scraping the list of Hall of Fame teams from FIRST resource library. """ def get(self): df = DatafeedResourceLibrary() teams = df.getHallOfFameTeams() if teams: media_to_update = [] for team in teams: team_reference = Media.create_reference('team', team['team_id']) video_foreign_key = team['video'] if video_foreign_key: media_to_update.append(Media(id=Media.render_key_name(MediaType.YOUTUBE_VIDEO, video_foreign_key), media_type_enum=MediaType.YOUTUBE_VIDEO, media_tag_enum=[MediaTag.CHAIRMANS_VIDEO], references=[team_reference], year=team['year'], foreign_key=video_foreign_key)) presentation_foreign_key = team['presentation'] if presentation_foreign_key: media_to_update.append(Media(id=Media.render_key_name(MediaType.YOUTUBE_VIDEO, presentation_foreign_key), media_type_enum=MediaType.YOUTUBE_VIDEO, media_tag_enum=[MediaTag.CHAIRMANS_PRESENTATION], references=[team_reference], year=team['year'], foreign_key=presentation_foreign_key)) essay_foreign_key = team['essay'] if essay_foreign_key: media_to_update.append(Media(id=Media.render_key_name(MediaType.EXTERNAL_LINK, essay_foreign_key), media_type_enum=MediaType.EXTERNAL_LINK, media_tag_enum=[MediaTag.CHAIRMANS_ESSAY], references=[team_reference], year=team['year'], foreign_key=essay_foreign_key)) MediaManipulator.createOrUpdate(media_to_update) else: logging.info("No Hall of Fame teams found") teams = [] template_values = { 'teams': teams, } if 'X-Appengine-Taskname' not in self.request.headers: # Only write out if not in taskqueue path = os.path.join(os.path.dirname(__file__), '../templates/datafeeds/hall_of_fame_teams_get.html') self.response.out.write(template.render(path, template_values)) class TeamBlacklistWebsiteDo(webapp.RequestHandler): """ Blacklist the current website for a team """ def get(self, key_name): team = Team.get_by_id(key_name) if team.website: WebsiteBlacklist.blacklist(team.website) self.redirect('/backend-tasks/get/team_details/{}'.format(key_name))

40.340909

125

0.640704

758

7,100

5.792876

0.246702

0.034161

0.020496

0.015031

0.30813

0.269642

0.262355

0.23161

0

0.289296

7,100

175

126

40.571429

0.870194

0.014648

0

0.168

0

0.059096

0.029934

0

null

0

0.312

null

0

null

0

null

0

1

0

1

0

2

61bcb1723cde31df785e9875b137882312c8d564

1,086

py

Python

tests/test_validation_settings.py

IndicoDataSolutions/finetune-transformer-lm

3534658e5de281e5634c8481b0fb37635b0cb3af

[ "MIT" ]

null

tests/test_validation_settings.py

IndicoDataSolutions/finetune-transformer-lm

3534658e5de281e5634c8481b0fb37635b0cb3af

[ "MIT" ]

null

tests/test_validation_settings.py

IndicoDataSolutions/finetune-transformer-lm

3534658e5de281e5634c8481b0fb37635b0cb3af

[ "MIT" ]

null

import unittest from finetune.util.input_utils import validation_settings class TestValidationSettings(unittest.TestCase): def test_validation_settings(self): """ Ensure LM only training does not error out """ val_size, val_interval = validation_settings(dataset_size=30, batch_size=4, val_size=0, val_interval=None, keep_best_model=False) self.assertEqual(val_size, 0) val_size, val_interval = validation_settings(dataset_size=80, batch_size=4, val_size=0.05, val_interval=None, keep_best_model=False) self.assertEqual(val_size, 4) self.assertEqual(val_interval, 4) val_size, val_interval = validation_settings(dataset_size=80, batch_size=2, val_size=0.05, val_interval=None, keep_best_model=False) self.assertEqual(val_size, 4) self.assertEqual(val_interval, 8) val_size, val_interval = validation_settings(dataset_size=400, batch_size=4, val_size=0.05, val_interval=None, keep_best_model=False) self.assertEqual(val_size, 20) self.assertEqual(val_interval, 20)

43.44

141

0.736648

153

1,086

4.921569

0.281046

0.111554

0.167331

0.095618

0.721116

0.697211

0.572377

0

0.035635

0.173112

1,086

24

142

45.25

0.802895

0.038674

0

0.133333

0

0.466667

1

0.066667

false

0

0.133333

0

0.266667

0

null

0

1

0

null

0

1

0

2

4eec746d820c53cfe1acfbbe561209eb0112a801

207

py

Python

tests/SHA256/run.py

weikengchen/Virgo

73b924f33e18c017bafa3ed37da84a7b0d80ec5d

[ "Apache-2.0" ]

9

2020-06-02T04:54:08.000Z

2021-12-07T12:54:09.000Z

tests/SHA256/run.py

weikengchen/Virgo

73b924f33e18c017bafa3ed37da84a7b0d80ec5d

[ "Apache-2.0" ]

2

2021-01-07T18:34:10.000Z

2021-03-22T20:29:43.000Z

tests/SHA256/run.py

weikengchen/Virgo

73b924f33e18c017bafa3ed37da84a7b0d80ec5d

[ "Apache-2.0" ]

5

2020-06-08T09:11:37.000Z

2021-07-29T12:15:47.000Z

import os os.system('mkdir -p LOG') for i in range(8): os.system('./zk_proof SHA256_64_merkle_' + str(i + 1) + '_circuit.txt SHA256_64_merkle_' + str(i + 1) + '_meta.txt LOG/SHA256_' + str(i + 1) + '.txt')

41.4

151

0.647343

38

207

3.263158

0.552632

0.096774

0.120968

0.274194

0.306452

0

0.097143

0.154589

207

4

152

51.75

0.611429

0

0.458937

0

1

0

false

0

0.25

0

0.25

0

null

0

1

0

1

0

null

0

2

4ef201c0a10d56d741c0b5148b73d6e3ae7ebce4

143

py

Python

acmgnyr2011/b.py

AnAverageHuman/competitive

4c4b9bdbe91fde1c52f731426f9a53bff97796e1

[ "BSD-3-Clause" ]

null

acmgnyr2011/b.py

AnAverageHuman/competitive

4c4b9bdbe91fde1c52f731426f9a53bff97796e1

[ "BSD-3-Clause" ]

null

acmgnyr2011/b.py

AnAverageHuman/competitive

4c4b9bdbe91fde1c52f731426f9a53bff97796e1

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python P = int(input()) for _ in range(P): N, n, m = [int(i) for i in input().split()] print(f"{N} {(n - m) * m + 1}")

20.428571

47

0.48951

28

143

2.464286

0.607143

0.057971

0.086957

0

0.009259

0.244755

143

6

48

23.833333

0.62963

0.13986

0

0.172131

0

1

0

false

0

0.25

1

0

null

0

1

0

null

0

2

4ef48cca62f034a2764603154909770a46970bca

284

py

Python

tests/tasks/test_aws_athena_task.py

jezd-axyl/platsec-aws-scanner

bc2b064c87ac2f77fab49c1e1eb3782d6de685b2

[ "Apache-2.0" ]

null

tests/tasks/test_aws_athena_task.py

jezd-axyl/platsec-aws-scanner

bc2b064c87ac2f77fab49c1e1eb3782d6de685b2

[ "Apache-2.0" ]

4

2021-05-06T12:36:46.000Z

2022-02-11T09:47:57.000Z

tests/tasks/test_aws_athena_task.py

jezd-axyl/platsec-aws-scanner

bc2b064c87ac2f77fab49c1e1eb3782d6de685b2

[ "Apache-2.0" ]

2

2021-04-21T04:48:47.000Z

2022-01-14T04:29:17.000Z

from unittest import TestCase from unittest.mock import Mock from tests.test_types_generator import athena_task class TestAwsAthenaTask(TestCase): def test_run_task(self) -> None: with self.assertRaises(NotImplementedError): athena_task()._run_task(Mock())

25.818182

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null

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1

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4ef95f448285155ef51a0543042976937c9cfbc9

1,487

py

Python

amftrack/pipeline/scripts/post_processing/make_small_exp.py

Cocopyth/MscThesis

60162bc779a3a668e7447b60bb9a4b2a616b8093

[ "MIT" ]

1

2021-06-10T02:51:53.000Z

amftrack/pipeline/scripts/post_processing/make_small_exp.py

Cocopyth/MscThesis

60162bc779a3a668e7447b60bb9a4b2a616b8093

[ "MIT" ]

null

amftrack/pipeline/scripts/post_processing/make_small_exp.py

Cocopyth/MscThesis

60162bc779a3a668e7447b60bb9a4b2a616b8093

[ "MIT" ]

null

from path import path_code_dir import sys sys.path.insert(0, path_code_dir) from amftrack.pipeline.functions.image_processing.extract_width_fun import * from amftrack.pipeline.functions.image_processing.experiment_class_surf import Experiment, save_graphs, load_graphs from amftrack.util import get_dates_datetime, get_dirname import pickle import networkx as nx import pandas as pd from amftrack.pipeline.paths.directory import directory_scratch from path import path_code_dir import os import json from datetime import datetime from pymatreader import read_mat import cv2 import matplotlib.pyplot as plt from IPython.display import clear_output from amftrack.plotutil import plot_t_tp1 from amftrack.notebooks.analysis.util import directory_scratch import imageio directory = str(sys.argv[1]) overwrite = eval(sys.argv[2]) i = int(sys.argv[-1]) op_id = int(sys.argv[-2]) run_info = pd.read_json(f'{directory_scratch}temp/{op_id}.json') list_f,list_args = pickle.load(open(f'{directory_scratch}temp/{op_id}.pick', "rb")) folder_list = list(run_info['folder_analysis']) directory_name = folder_list[i] select = run_info.loc[run_info['folder_analysis'] == directory_name] row = [row for index, row in select.iterrows()][0] plate_num = row['Plate'] path_exp = f'{directory}{row["path_exp"]}' exp = pickle.load(open(path_exp, "rb")) exp.dates.sort() save_graphs(exp) exp.nx_graph = None dirName = exp.save_location exp.pickle_save(f"{dirName}/")

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2

f60f32aa489881ec2e8225930b221b8c8e96f54f

2,416

py

Python

python_data_utils/spark/ml/randomforest.py

surajiyer/python-data-utils

d6e9bf81204a01545a3edb165c5724eb24f37c18

[ "MIT" ]

4

2019-01-06T00:09:21.000Z

2022-01-28T06:03:13.000Z

python_data_utils/spark/ml/randomforest.py

surajiyer/python-data-utils

d6e9bf81204a01545a3edb165c5724eb24f37c18

[ "MIT" ]

null

python_data_utils/spark/ml/randomforest.py

surajiyer/python-data-utils

d6e9bf81204a01545a3edb165c5724eb24f37c18

[ "MIT" ]

null

__all__ = ['RandomForestBinaryModel'] from pyspark.sql import DataFrame from pyspark.ml.classification import RandomForestClassifier from python_data_utils.spark.evaluation.multiclass import MulticlassEvaluator from python_data_utils.spark.ml.base import BinaryClassCVModel, Metrics class RandomForestBinaryModel(BinaryClassCVModel): def __init__( self, *, estimator=None, evaluator=None, label_col: str = 'label', params_map=None): estimator = RandomForestClassifier(labelCol=label_col)\ if not estimator else estimator assert isinstance(estimator, RandomForestClassifier) evaluator = MulticlassEvaluator(metricName='weightedFMeasure')\ if not evaluator else evaluator super().__init__(estimator=estimator, evaluator=evaluator) self.params_map = { 'maxDepth': [5, 10, 20], 'numTrees': [20, 30, 40, 50], 'minInstancesPerNode': [1, 2, 3] } if not params_map else params_map @Metrics.register('feature_importances') def feature_importances(self, predictions): self.logger.info('Get feature importances') feature_importance = self.best_model.stages[-1].featureImportances feature_importance = sorted([ (self.features[i], fi) for i, fi in enumerate(feature_importance)] , key=lambda x: -x[1]) return feature_importance def get_feature_importances(self, df: DataFrame): """ Takes in a feature importance from a random forest / GBT model and map it to the column names Output as a pandas dataframe for easy reading Params ------ df: DataFrame Example dataframe with same schema as model input. Usage ---------- >>> rf = RandomForestClassifier(featuresCol="features") >>> mod = rf.fit(train) >>> get_feature_importances(train) """ import pandas as pd featureImp = self.best_model.stages[-1].featureImportances featuresCol = self.estimator.getFeaturesCol() features = df.schema[featuresCol].metadata["ml_attr"]["attrs"] list_extract = [features[i] for i in features] varlist = pd.DataFrame(list_extract) varlist['score'] = varlist['idx'].apply(lambda x: featureImp[x]) return varlist.sort_values('score', ascending=False)

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null

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null

0

1

0

1

0

2

f61b72c600c72677f6d1712bc62795a8c1da3213

7,482

py

Python

tests/test_config_defaults.py

nmichlo/eunomia

5c6ef13b5af5335d4437867953b5eaa872ac56bb

[ "MIT" ]

3

2021-02-07T17:55:46.000Z

2021-02-15T11:58:36.000Z

tests/test_config_defaults.py

nmichlo/eunomia

5c6ef13b5af5335d4437867953b5eaa872ac56bb

[ "MIT" ]

null

tests/test_config_defaults.py

nmichlo/eunomia

5c6ef13b5af5335d4437867953b5eaa872ac56bb

[ "MIT" ]

null

import pytest from eunomia.config._default import Default from eunomia.config.nodes import ConfigNode from tests.test_backend_obj import _make_config_group # ========================================================================= # # Test YAML & Custom Tags # # ========================================================================= # def _resolver(string): if isinstance(string, ConfigNode): return string.get_config_value({}, {}, {}) return string def _resolve_default(group, default): # we are testing this! \/ \/ \/ g, c, pkg, is_self = default.to_resolved_components(group, _resolver) # we are testing this! /\ /\ /\ return g.abs_path, [c.abs_path for c in c], pkg def test_defaults(): root = _make_config_group(suboption=None, suboption2=None, package1='<option>', package2='asdf.fdsa') d = root.get_option_recursive('default') s1 = root.get_group_recursive('subgroup') s1o1 = root.get_option_recursive('subgroup/suboption1') s1o2 = root.get_option_recursive('subgroup/suboption2') s2 = root.get_group_recursive('subgroup2') s2s3 = root.get_group_recursive('subgroup2/subgroup3') s2s3o1 = root.get_option_recursive('subgroup2/subgroup3/suboption1') s2s3o2 = root.get_option_recursive('subgroup2/subgroup3/suboption2') # multiple different versions assert _resolve_default(root, Default(d)) == ('/', ['/default'], ()) assert _resolve_default(root, Default({root: d})) == ('/', ['/default'], ()) assert _resolve_default(root, Default({root: [d]})) == ('/', ['/default'], ()) assert _resolve_default(root, Default({'/': 'default'})) == ('/', ['/default'], ()) assert _resolve_default(root, Default({'/': '/default'})) == ('/', ['/default'], ()) assert _resolve_default(root, Default({'/': ['/default']})) == ('/', ['/default'], ()) assert _resolve_default(root, Default({'/': ['default']})) == ('/', ['/default'], ()) # these should throw errors, option points to option with pytest.raises(KeyError, match='key .* is not a group'): _resolve_default(root, Default({'/default': ['default']})) with pytest.raises(KeyError, match='key .* is not a group'): _resolve_default(root, Default({d: d})) with pytest.raises(KeyError, match='key .* is not a group'): _resolve_default(root, Default({d: [d]})) # allow group to represent all suboptions assert _resolve_default(root, Default('')) == ('/', ['/default'], ()) # technically this is valid, its just confusing... should it be disabled? assert _resolve_default(root, Default('default')) == ('/', ['/default'], ()) # we want relative support in case we use group.absorb for example assert _resolve_default(root, Default('/')) == ('/', ['/default'], ()) assert _resolve_default(root, Default('/default')) == ('/', ['/default'], ()) assert _resolve_default(root, Default(root)) == ('/', ['/default'], ()) assert _resolve_default(root, Default({'/': '/'})) == ('/', ['/default'], ()) assert _resolve_default(root, Default({'/': '*'})) == ('/', ['/default'], ()) assert _resolve_default(root, Default({root: '*'})) == ('/', ['/default'], ()) assert _resolve_default(root, Default({root: root})) == ('/', ['/default'], ()) assert _resolve_default(root, Default({'/': root})) == ('/', ['/default'], ()) # these should throw errors, group points to group in list with pytest.raises(KeyError, match='value in list .* is not an option'): _resolve_default(root, Default({'/': ['subgroup']})) with pytest.raises(KeyError, match='value in list .* is not an option'): _resolve_default(root, Default({'/': ['default', 'subgroup']})) # check parents assert _resolve_default(root, Default(d)) == ('/', ['/default'], ()) assert _resolve_default(s1, Default(d)) == ('/', ['/default'], ()) assert _resolve_default(s2, Default(d)) == ('/', ['/default'], ()) assert _resolve_default(s2s3, Default(d)) == ('/', ['/default'], ()) # check others assert _resolve_default(root, Default(s1)) == ('/subgroup', ['/subgroup/suboption1', '/subgroup/suboption2'], ('subgroup',)) assert _resolve_default(s1, Default(s1)) == ('/subgroup', ['/subgroup/suboption1', '/subgroup/suboption2'], ('subgroup',)) assert _resolve_default(s2, Default(s1)) == ('/subgroup', ['/subgroup/suboption1', '/subgroup/suboption2'], ('subgroup',)) assert _resolve_default(s2s3, Default(s1)) == ('/subgroup', ['/subgroup/suboption1', '/subgroup/suboption2'], ('subgroup',)) assert _resolve_default(root, Default({s1: '*'})) == ('/subgroup', ['/subgroup/suboption1', '/subgroup/suboption2'], ('subgroup',)) assert _resolve_default(root, Default({s1: s1})) == ('/subgroup', ['/subgroup/suboption1', '/subgroup/suboption2'], ('subgroup',)) # strings assert _resolve_default(root, Default('subgroup')) == ('/subgroup', ['/subgroup/suboption1', '/subgroup/suboption2'], ('subgroup',)) assert _resolve_default(root, Default('/subgroup')) == ('/subgroup', ['/subgroup/suboption1', '/subgroup/suboption2'], ('subgroup',)) assert _resolve_default(root, Default(s1)) == ('/subgroup', ['/subgroup/suboption1', '/subgroup/suboption2'], ('subgroup',)) assert _resolve_default(root, Default(s1o1)) == ('/subgroup', ['/subgroup/suboption1'], ('subgroup',)) assert _resolve_default(root, Default({'/subgroup': 'suboption1'})) == ('/subgroup', ['/subgroup/suboption1'], ('subgroup',)) assert _resolve_default(root, Default({'subgroup': 'suboption1'})) == ('/subgroup', ['/subgroup/suboption1'], ('subgroup',)) with pytest.raises(KeyError, match="Group '/subgroup2/subgroup3' does not have child 'subgroup'"): _resolve_default(s2s3, Default({'subgroup': 'suboption1'})) with pytest.raises(KeyError, match="Group '/subgroup2' does not have child 'subgroup'"): _resolve_default(s2, Default({'subgroup': 'suboption1'})) with pytest.raises(KeyError, match="Group '/subgroup' does not have child 'subgroup'"): _resolve_default(s1, Default({'subgroup': 'suboption1'})) def test_defaults_advanced(): def resolve_entry_defaults(group): results = [] for default in group.get_option('default').get_unresolved_defaults(): results.append(_resolve_default(group, default)) return results assert resolve_entry_defaults(_make_config_group(suboption='suboption1')) == [('/subgroup', ['/subgroup/suboption1'], ('subgroup',))] assert resolve_entry_defaults(_make_config_group(suboption='suboption2')) == [('/subgroup', ['/subgroup/suboption2'], ('subgroup',))] assert resolve_entry_defaults(_make_config_group(suboption=['suboption2'])) == [('/subgroup', ['/subgroup/suboption2'], ('subgroup',))] assert resolve_entry_defaults(_make_config_group(suboption=['suboption1', 'suboption2'])) == [('/subgroup', ['/subgroup/suboption1', '/subgroup/suboption2'], ('subgroup',))] assert resolve_entry_defaults(_make_config_group(suboption=None, suboption2='suboption1')) == [('/subgroup2/subgroup3', ['/subgroup2/subgroup3/suboption1'], ('subgroup2', 'subgroup3'))] assert resolve_entry_defaults(_make_config_group(suboption=None, suboption2='suboption2')) == [('/subgroup2/subgroup3', ['/subgroup2/subgroup3/suboption2'], ('subgroup2', 'subgroup3'))]

66.212389

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null

0

1

0

null

0

1

0

2

f61c2aa8d4b0c6d527e4128c6b11bb2329c17ab9

651

py

Python

apf/core/templates/step/package/step.py

alercebroker/APF

d71cec49ee7f4a1667210b70c48501d036d5c08b

[ "MIT" ]

2

2020-03-12T17:27:11.000Z

2020-05-28T21:21:51.000Z

apf/core/templates/step/package/step.py

alercebroker/APF

d71cec49ee7f4a1667210b70c48501d036d5c08b

[ "MIT" ]

15

2019-11-25T19:51:39.000Z

2022-03-04T19:00:31.000Z

apf/core/templates/step/package/step.py

alercebroker/APF

d71cec49ee7f4a1667210b70c48501d036d5c08b

[ "MIT" ]

2

2020-06-21T07:55:58.000Z

2022-02-08T11:09:05.000Z

from apf.core.step import GenericStep import logging class {{step_name}}(GenericStep): """{{step_name}} Description Parameters ---------- consumer : GenericConsumer Description of parameter `consumer`. **step_args : type Other args passed to step (DB connections, API requests, etc.) """ def __init__(self,consumer = None, config = None,level = logging.INFO,**step_args): super().__init__(consumer,config=config, level=level) def execute(self,message): ################################ # Here comes the Step Logic # ################################ pass

26.04

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651

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27.125

0.708835

0.038402

0

null

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0.285714

null

0

null

0

null

0

1

0

1

0

2

f61d22ab24870ca8c56c224b5de2063d76fef120

5,107

py

Python

NLPFeatures.py

Nik0l/UTemPr

cc8c64dd01910194d1f18530a687595dceff30df

[ "MIT" ]

2

2016-02-24T19:36:12.000Z

2017-08-04T07:46:06.000Z

NLPFeatures.py

Nik0l/UTemPr

cc8c64dd01910194d1f18530a687595dceff30df

[ "MIT" ]

1

2016-03-03T09:18:07.000Z

NLPFeatures.py

Nik0l/UTemPr

cc8c64dd01910194d1f18530a687595dceff30df

[ "MIT" ]

2

2017-04-18T09:56:30.000Z

2019-11-22T01:40:10.000Z

__author__ = 'nb254' #requires question_title_length.csv for processing: TITLE, BODY, POSTID, USERID import nltk, csv import pandas as pd import Features as features #test = "I have an original Arduino UNO R3 that I bought and an <a href='http://arduino.cc/en/Main/ArduinoBoardSerialSingleSided3' rel='nofollow'>Arduino Severino (S3V3)</a> that I"'"ve built.I have no problems uploading sketches to the UNO, but sometimes, when uploading to the Severino board, I have to hard reset it at a specific time during the upload process, when the IDE says something like this below:<pre><code>avrdude: Version 5.11, compiled on Sep 2 2011 at 19:38:36 Copyright (c) 2000-2005 Brian Dean, http://www.bdmicro.com/ Copyright (c) 2007-2009 Joerg Wunsch System wide configuration file is C:\arduino-1.0.3\hardware/tools/avr/etc avrdude.conf Using Port:.\COM1 Using Programmer : arduino Overriding Baud Rate : 115200 avrdude: Send: 0 [30] [20] avrdude: Send: 0 [30] [20] avrdude: Send: 0 [30] [20] </code></pre> If I don"'"t reset it when one of the <code>Send</code> messages are being displayed, I get the <code>not in sync</code> message, as below:<pre><code>avrdude: Recv: avrdude: stk500_getsync(): not in sync: resp=0x00</code></pre>Other times, if I'm lucky, I can upload to the Severino board without having to reset it.So, my questions are:<ol><li>Why does that happen? Why Severino needs a hard reset during upload?</li><li>Why is the problem intermitent? Why does it happen sometimes and others it doesn't?</li><li>How can I fix that problem? Is there a simple change to the Severino design that would fix that?</li></ol>" def NLPExtract(data, file_name): HEADER = features.KEYS + features.NLP_FEATURES # the file where all 'wh' and '?' will be saved csv_writer = csv.writer(open(file_name, 'wb')) csv_writer.writerow(HEADER) i = 0 #print data for index, row in data.iterrows(): #TODO: delete the second condition if i > 0: print row res = NLPFeatures(row) csv_writer.writerow(res) i = i + 1 # counts words of a particular type, for example, 'WP' - 'wh' words def NLPFeatures(row): post_id = row['PostId'] user_id = row['UserId'] #print row try: res = NLPFeaturesCalc(row['Q_Title'], row['Q_Body']) res = [post_id, user_id] + res except UnicodeDecodeError: #TODO: convert to unicode, currently just ignoring the error print('UnicodeDecodeError: ' + row['Q_Title']) res = [post_id, user_id] + [0]*12 return res def NLPFeaturesCalc(title, body): num_qm = 0 num_wp = 0 symbols = ['VBG', 'VBZ', 'VBP', 'VB', 'VBD', 'VBN'] #verbs selfRef = ['I','my','myself', 'we', 'We', 'My', 'Myself', 'i'] # self-reference nouns # tokens of the title and the body tokens = [nltk.word_tokenize(title), nltk.word_tokenize(body)] tagged = [nltk.pos_tag(tokens[0]), nltk.pos_tag(tokens[1])] ############### construct features ############################ num_qm = [Count(tokens[0], '?'), Count(tokens[1], '?')] # number of question marks num_wp = [CountP(tagged[0], 'WP'), CountP(tagged[1], 'WP')]# number of 'wh' words num_av = [CountV(tagged[0], symbols), CountV(tagged[1], symbols)] #number of active verbs num_sr = [CountM(tokens[0], selfRef), CountM(tokens[1], selfRef)] #self-reference num_url = body.count('<a href=') # how many url links are there num_img = body.count('<img') # how many images are there num_cst = body.count('<code>') # how many start code blocks num_cen = body.count('</code>') # how many end code blocks cod_len = CodeLength(body, num_cst, num_cen) # total length of code in chars res = [num_wp[0], num_wp[1], num_qm[0], num_qm[1], num_av[0], num_av[1], num_sr[0], num_sr[1], num_url, num_img, num_cst, cod_len] return res def CountP(data, TYPE): num = 0 for x in data: if x[1] == TYPE: num = num + 1 return num # counts a number of particular words or symbols, for example, '?' def Count(data, symbol): num = 0 for x in data: if x == symbol: num = num + 1 return num # counts a number of multiple symbols def CountM(data, symbols): num = 0 for sym in symbols: num = num + Count(data, sym) return num # counts a number of multiple symbols def CountV(data, symbols): num = 0 for sym in symbols: num = num + CountP(data, sym) #print num #print sym return num # checks if it is a substring def SubString(data, text): if text in data: return 1 else: return 0 def CodeLength(text, num_cst, num_cen):#text and the number of start and end code blocks cod_len = 0 if num_cst <> num_cen or num_cst * num_cen == 0: return cod_len else: s = text.replace(" ","") s = s.replace("</code>"," ") s = s.replace("<code>"," ") #print s s = s.split() i = 0 for line in s: if i%2 <> 0: cod_len = cod_len + len(line) i = i + 1 return cod_len

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null

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null

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1

0

2

f636a882b94f8b074d76f3398dd62f93844dc2ba

245

py

Python

factory_djoy/__about__.py

jamescooke/factory_djoy

97cf68a068b831f2830688a91e7b143b97bc1326

[ "MIT" ]

26

2016-05-27T19:00:34.000Z

2022-02-14T14:22:20.000Z

factory_djoy/__about__.py

jamescooke/factory_djoy

97cf68a068b831f2830688a91e7b143b97bc1326

[ "MIT" ]

37

2016-05-27T18:58:51.000Z

2021-10-10T11:35:08.000Z

factory_djoy/__about__.py

jamescooke/factory_djoy

97cf68a068b831f2830688a91e7b143b97bc1326

[ "MIT" ]

null

__name__ = 'factory_djoy' __version__ = '2.2.0' __author__ = 'James Cooke' __copyright__ = '2021, {}'.format(__author__) __description__ = 'Factories for Django, creating valid model instances every time.' __email__ = 'github@jamescooke.info'

27.222222

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0.122449

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0.089796

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0

1

0

null

0

1

0

null

0

2

f6630d45727b60cf6121d275d6c726d45711227d

287

py

Python

Life.py

lianwt115/python_pygame

4d70846740e8905f63059de107a8d0831d9ffe0c

[ "MIT" ]

1

2018-08-14T02:54:14.000Z

Life.py

lianwt115/python_pygame

4d70846740e8905f63059de107a8d0831d9ffe0c

[ "MIT" ]

null

Life.py

lianwt115/python_pygame

4d70846740e8905f63059de107a8d0831d9ffe0c

[ "MIT" ]

null

# 子弹 import pygame class Life(pygame.sprite.Sprite): def __init__(self, img, init_pos): pygame.sprite.Sprite.__init__(self) self.image = img self.rect = self.image.get_rect() self.rect.topleft = init_pos def update(self): self.kill()

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0.006969

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0

null

0

1

0

null

0

1

0

2

f66a07a388a781ad9ca3ffd91259ea2672b30eef

2,449

py

Python

idgo_admin/views/sld_preview.py

neogeo-technologies/idgo

23e028b0d7fb2daf54d7e2954e0cc4d7b9be4210

[ "Apache-2.0" ]

null

idgo_admin/views/sld_preview.py

neogeo-technologies/idgo

23e028b0d7fb2daf54d7e2954e0cc4d7b9be4210

[ "Apache-2.0" ]

2

2018-09-14T07:12:00.000Z

2019-11-13T09:32:24.000Z

idgo_admin/views/sld_preview.py

neogeo-technologies/idgo

23e028b0d7fb2daf54d7e2954e0cc4d7b9be4210

[ "Apache-2.0" ]

2

2019-03-25T08:27:43.000Z

2019-10-07T15:25:30.000Z

# Copyright (c) 2017-2021 Neogeo-Technologies. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import redis import urllib.parse import uuid from django.conf import settings from django.contrib.auth.decorators import login_required from django.http import Http404 from django.http import HttpResponse from django.urls import reverse from django.utils.decorators import method_decorator from django.views.decorators.csrf import csrf_exempt from django.views import View from idgo_admin import REDIS_HOST from idgo_admin import REDIS_EXPIRATION from idgo_admin import LOGIN_URL from idgo_admin import HOST_INTERNAL from idgo_admin import PORT_INTERNAL strict_redis = redis.StrictRedis(REDIS_HOST) @method_decorator([csrf_exempt, login_required(login_url=LOGIN_URL)], name='dispatch') class SLDPreviewSetter(View): def post(self, request, *args, **kwargs): sld = request.POST.get('sld') key = str(uuid.uuid4()) strict_redis.set(key, sld) strict_redis.expire(key, REDIS_EXPIRATION) response = HttpResponse(status=201) location = request.build_absolute_uri( reverse('idgo_admin:sld_preview_getter', kwargs={'key': key})) # C'est moche if HOST_INTERNAL and PORT_INTERNAL: netloc = '{host}:{port}'.format( host=HOST_INTERNAL, port=PORT_INTERNAL) parsed = urllib.parse.urlparse(location) replaced = parsed._replace(netloc=netloc) response['Content-Location'] = replaced.geturl() else: response['Content-Location'] = location return response @method_decorator([csrf_exempt], name='dispatch') class SLDPreviewGetter(View): def get(self, request, key=None, *args, **kwargs): sld = strict_redis.get(key) if not sld: raise Http404 return HttpResponse(sld, status=200, content_type='application/vnd.ogc.sld+xml')

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null

0

1

0

1

0

2

f67473386f78c6d97077c35b82b59ca8dd569a05

681

py

Python

equipment_piece.py

cookyt/mhw_optimizer

05dc4483f9bb0b6f8c2d8e205239d58bbd4c274a

[ "MIT" ]

null

equipment_piece.py

cookyt/mhw_optimizer

05dc4483f9bb0b6f8c2d8e205239d58bbd4c274a

[ "MIT" ]

null

equipment_piece.py

cookyt/mhw_optimizer

05dc4483f9bb0b6f8c2d8e205239d58bbd4c274a

[ "MIT" ]

null

from enum import Enum class BodyPart(Enum): HEAD = 0 BODY = 1 ARMS = 2 WAIST = 3 LEGS = 4 CHARM = 5 class EquipmentPiece: def __init__(self, name, body_part, skills): self.name = name self.body_part = body_part self.skills = skills class ArmourPiece(EquipmentPiece): def __init__(self, name, body_part, defence, skills, decoration_slots): EquipmentPiece.__init__(self, name, body_part, skills) self.defence = defence self.decoration_slots = decoration_slots class Charm(EquipmentPiece): def __init__(self, name, skills): EquipmentPiece.__init__(self, name, BodyPart.CHARM, skills)

22.7

75

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681

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9c875ae7c2afe703c37e9e06e4b3067ddcb1e099

11,643

py

Python

src/OTLMOW/OTLModel/Datatypes/KlVerlichtingstoestelModelnaam.py

davidvlaminck/OTLClassPython

71330afeb37c3ea6d9981f521ff8f4a3f8b946fc

[ "MIT" ]

2

2022-02-01T08:58:11.000Z

2022-02-08T13:35:17.000Z

src/OTLMOW/OTLModel/Datatypes/KlVerlichtingstoestelModelnaam.py

davidvlaminck/OTLMOW

71330afeb37c3ea6d9981f521ff8f4a3f8b946fc

[ "MIT" ]

null

src/OTLMOW/OTLModel/Datatypes/KlVerlichtingstoestelModelnaam.py

davidvlaminck/OTLMOW

71330afeb37c3ea6d9981f521ff8f4a3f8b946fc

[ "MIT" ]

null

# coding=utf-8 from OTLMOW.OTLModel.Datatypes.KeuzelijstField import KeuzelijstField from OTLMOW.OTLModel.Datatypes.KeuzelijstWaarde import KeuzelijstWaarde # Generated with OTLEnumerationCreator. To modify: extend, do not edit class KlVerlichtingstoestelModelnaam(KeuzelijstField): """De modelnaam van het verlichtingstoestel.""" naam = 'KlVerlichtingstoestelModelnaam' label = 'Verlichtingstoestel modelnaam' objectUri = 'https://wegenenverkeer.data.vlaanderen.be/ns/abstracten#KlVerlichtingstoestelModelnaam' definition = 'De modelnaam van het verlichtingstoestel.' codelist = 'https://wegenenverkeer.data.vlaanderen.be/id/conceptscheme/KlVerlichtingstoestelModelnaam' options = { 'ARC': KeuzelijstWaarde(invulwaarde='ARC', label='ARC', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/ARC'), 'Belgica': KeuzelijstWaarde(invulwaarde='Belgica', label='Belgica', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/Belgica'), 'Calypso': KeuzelijstWaarde(invulwaarde='Calypso', label='Calypso', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/Calypso'), 'Corus': KeuzelijstWaarde(invulwaarde='Corus', label='Corus', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/Corus'), 'DTN': KeuzelijstWaarde(invulwaarde='DTN', label='DTN', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/DTN'), 'Evolo': KeuzelijstWaarde(invulwaarde='Evolo', label='Evolo', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/Evolo'), 'Focal': KeuzelijstWaarde(invulwaarde='Focal', label='Focal', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/Focal'), 'GSM': KeuzelijstWaarde(invulwaarde='GSM', label='GSM', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/GSM'), 'GTMB': KeuzelijstWaarde(invulwaarde='GTMB', label='GTMB', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/GTMB'), 'GTNB': KeuzelijstWaarde(invulwaarde='GTNB', label='GTNB', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/GTNB'), 'GZM': KeuzelijstWaarde(invulwaarde='GZM', label='GZM', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/GZM'), 'Gema': KeuzelijstWaarde(invulwaarde='Gema', label='Gema', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/Gema'), 'HCI-TS': KeuzelijstWaarde(invulwaarde='HCI-TS', label='HCI-TS', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/HCI-TS'), 'Iridium': KeuzelijstWaarde(invulwaarde='Iridium', label='Iridium', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/Iridium'), 'MNF300': KeuzelijstWaarde(invulwaarde='MNF300', label='MNF300', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/MNF300'), 'MWF230': KeuzelijstWaarde(invulwaarde='MWF230', label='MWF230', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/MWF230'), 'MY11': KeuzelijstWaarde(invulwaarde='MY11', label='MY11', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/MY11'), 'Neos': KeuzelijstWaarde(invulwaarde='Neos', label='Neos', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/Neos'), 'Onyx': KeuzelijstWaarde(invulwaarde='Onyx', label='Onyx', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/Onyx'), 'RT3NB': KeuzelijstWaarde(invulwaarde='RT3NB', label='RT3NB', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/RT3NB'), 'RT3SB': KeuzelijstWaarde(invulwaarde='RT3SB', label='RT3SB', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/RT3SB'), 'RXN': KeuzelijstWaarde(invulwaarde='RXN', label='RXN', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/RXN'), 'RXS': KeuzelijstWaarde(invulwaarde='RXS', label='RXS', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/RXS'), 'Radial': KeuzelijstWaarde(invulwaarde='Radial', label='Radial', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/Radial'), 'SRS201': KeuzelijstWaarde(invulwaarde='SRS201', label='SRS201', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/SRS201'), 'Safir': KeuzelijstWaarde(invulwaarde='Safir', label='Safir', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/Safir'), 'Saturnus': KeuzelijstWaarde(invulwaarde='Saturnus', label='Saturnus', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/Saturnus'), 'Squalo': KeuzelijstWaarde(invulwaarde='Squalo', label='Squalo', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/Squalo'), 'Syntra': KeuzelijstWaarde(invulwaarde='Syntra', label='Syntra', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/Syntra'), 'VTP': KeuzelijstWaarde(invulwaarde='VTP', label='VTP', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/VTP'), 'Z18': KeuzelijstWaarde(invulwaarde='Z18', label='Z18', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/Z18'), 'Z2': KeuzelijstWaarde(invulwaarde='Z2', label='Z2', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/Z2'), 'Z21': KeuzelijstWaarde(invulwaarde='Z21', label='Z21', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/Z21'), 'ampera': KeuzelijstWaarde(invulwaarde='ampera', label='Ampera', definitie='Ampera', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/ampera'), 'andere': KeuzelijstWaarde(invulwaarde='andere', label='andere', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/andere'), 'brugleuning': KeuzelijstWaarde(invulwaarde='brugleuning', label='brugleuning', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/brugleuning'), 'clear-field': KeuzelijstWaarde(invulwaarde='clear-field', label='ClearField', definitie='ClearField', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/clear-field'), 'digi-street': KeuzelijstWaarde(invulwaarde='digi-street', label='DigiStreet', definitie='DigiStreet', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/digi-street'), 'izylum': KeuzelijstWaarde(invulwaarde='izylum', label='Izylum', definitie='Izylum', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/izylum'), 'luma': KeuzelijstWaarde(invulwaarde='luma', label='Luma', definitie='Luma', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/luma'), 'lumi-street': KeuzelijstWaarde(invulwaarde='lumi-street', label='LumiStreet', definitie='LumiStreet', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/lumi-street'), 'projector': KeuzelijstWaarde(invulwaarde='projector', label='projector', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/projector'), 'teceo': KeuzelijstWaarde(invulwaarde='teceo', label='Teceo', definitie='Teceo', objectUri='https://wegenenverkeer.data.vlaanderen.be/id/concept/KlVerlichtingstoestelModelnaam/teceo') }

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0.009341

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0

null

0

1

0

1

0

null

0

2

9c879e5d1943efd11dd7e5215bb6e0131412a141

209

py

Python

ospath/ospath_expanduser.py

dineshkumar2509/learning-python

e8af11ff0b396da4c3f2cfe21d14131bae4b2adb

[ "MIT" ]

86

2015-06-13T16:53:55.000Z

2022-03-24T20:56:42.000Z

ospath/ospath_expanduser.py

pei-zheng-yi/learning-python

55e350dfe44cf04f7d4408e76e72d2f467bd42ce

[ "MIT" ]

9

2015-05-27T07:52:44.000Z

2022-03-29T21:52:40.000Z

ospath/ospath_expanduser.py

pei-zheng-yi/learning-python

55e350dfe44cf04f7d4408e76e72d2f467bd42ce

[ "MIT" ]

124

2015-12-10T01:17:18.000Z

2021-11-08T04:03:38.000Z

#!/usr/bin/env python # encoding: utf-8 """Expand tilde in filenames. """ import os.path for user in ['', 'dhellmann', 'postgres']: lookup = '~' + user print lookup, ':', os.path.expanduser(lookup)

17.416667

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4.814815

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0.005848

0.181818

209

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0

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null

0.25

1

0

null

0

null

0

1

0

2

9c8c0ef5b1b94d70574d07bd18de4607864827eb

1,056

py

Python

src/hashing_.py

pawelmhm/recenseo.es

026ac67cb6e146745aad1649c338ed89b83f0c63

[ "MIT" ]

null

src/hashing_.py

pawelmhm/recenseo.es

026ac67cb6e146745aad1649c338ed89b83f0c63

[ "MIT" ]

1

2021-03-19T22:06:54.000Z

src/hashing_.py

pawelmhm/recenseo.es

026ac67cb6e146745aad1649c338ed89b83f0c63

[ "MIT" ]

null

# -*- coding: utf-8 -*- from hmac import HMAC from hashlib import sha256 import random import logging logging.basicConfig(level=logging.DEBUG) logger = logging.getLogger(__name__) def pbkd(password,salt): """ password must be a string in ascii, for some reasons string of type unicode provokes the following error: "TypeError: character mapping must return integer, None or unicode" TODO: should we check type of string before it gets here? """ return HMAC(str(password),salt,sha256).digest() def randomSalt(num_bytes): return "".join(chr(random.randrange(256)) for i in xrange(num_bytes)) def hash_password(plain_text): salt = randomSalt(8) for i in xrange(1000): hashed_password = pbkd(plain_text,salt) return salt.encode("base64").strip() + "," + hashed_password.encode("base64").strip() def check_password(saved_pass, plain_pass): salt,hashed_p = saved_pass.split(",") salt=salt.decode("base64") hashed_p = hashed_p.decode("base64") return hashed_p == pbkd(plain_pass, salt)

31.058824

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0.710227

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1,056

4.932432

0.506757

0.038356

0.016438

0.032877

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31.058824

0.809851

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0

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0.4

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0.6

0

null

0

null

0

1

0

1

0

2

9ca288ba9259937c8aeaac578a1dd9eb50715c34

1,930

py

Python

scheduled_bots/scripts/add_ECO_evidence_code.py

turoger/scheduled-bots

23fd30ccc242391151af3a1727f9fbf9dc95d433

[ "MIT" ]

6

2017-05-04T01:04:26.000Z

2022-03-04T12:22:17.000Z

scheduled_bots/scripts/add_ECO_evidence_code.py

turoger/scheduled-bots

23fd30ccc242391151af3a1727f9fbf9dc95d433

[ "MIT" ]

55

2017-03-14T21:16:44.000Z

2022-03-02T12:39:14.000Z

scheduled_bots/scripts/add_ECO_evidence_code.py

turoger/scheduled-bots

23fd30ccc242391151af3a1727f9fbf9dc95d433

[ "MIT" ]

13

2017-02-10T21:40:06.000Z

2022-01-18T01:27:52.000Z

""" One off script to Map evidence codes between ECO and GO https://github.com/evidenceontology/evidenceontology/blob/master/gaf-eco-mapping.txt """ import datetime from wikidataintegrator import wdi_core, wdi_login from scheduled_bots.local import WDPASS, WDUSER login = wdi_login.WDLogin(WDUSER, WDPASS) go_evidence_codes = {'EXP': 'Q23173789', 'IDA': 'Q23174122', 'IPI': 'Q23174389', 'IMP': 'Q23174671', 'IGI': 'Q23174952', 'IEP': 'Q23175251', 'ISS': 'Q23175558', 'ISO': 'Q23190637', 'ISA': 'Q23190738', 'ISM': 'Q23190825', 'IGC': 'Q23190826', 'IBA': 'Q23190827', 'IBD': 'Q23190833', 'IKR': 'Q23190842', 'IRD': 'Q23190850', 'RCA': 'Q23190852', 'TAS': 'Q23190853', 'NAS': 'Q23190854', 'IC': 'Q23190856', 'ND': 'Q23190857', 'IEA': 'Q23190881', 'IMR': 'Q23190842'} eco = {'EXP': 'ECO:0000269', 'IBA': 'ECO:0000318', 'IBD': 'ECO:0000319', 'IC': 'ECO:0000305', 'IDA': 'ECO:0000314', 'IEA': 'ECO:0000501', 'IEP': 'ECO:0000270', 'IGC': 'ECO:0000317', 'IGI': 'ECO:0000316', 'IKR': 'ECO:0000320', 'IMP': 'ECO:0000315', 'IMR': 'ECO:0000320', 'IPI': 'ECO:0000353', 'IRD': 'ECO:0000321', 'ISA': 'ECO:0000247', 'ISM': 'ECO:0000255', 'ISO': 'ECO:0000266', 'ISS': 'ECO:0000250', 'NAS': 'ECO:0000303', 'ND': 'ECO:0000307', 'RCA': 'ECO:0000245', 'TAS': 'ECO:0000304'} reference = [wdi_core.WDItemID("Q28445410", "P248", is_reference=True), # stated in ECO wdi_core.WDTime(datetime.datetime.now().strftime('+%Y-%m-%dT00:00:00Z'), 'P813', is_reference=True)] for evidence_code, wdid in go_evidence_codes.items(): data = [wdi_core.WDString('http://purl.obolibrary.org/obo/{}'.format(eco[evidence_code].replace(":", "_")), 'P1709', references=[reference])] item = wdi_core.WDItemEngine(wd_item_id=wdid, data=data) item.write(login, edit_summary="add ECO equivalent class")

58.484848

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null

0

1

0

null

0

1

0

2

9ca412a5e4887117f87a070c4624fcb1569c592d

6,322

py

Python

pychemia/population/_population.py

quanshengwu/PyChemia

98e9f7a1118b694dbda3ee75411ff8f8d7b9688b

[ "MIT" ]

1

2021-03-26T12:34:45.000Z

pychemia/population/_population.py

quanshengwu/PyChemia

98e9f7a1118b694dbda3ee75411ff8f8d7b9688b

[ "MIT" ]

null

pychemia/population/_population.py

quanshengwu/PyChemia

98e9f7a1118b694dbda3ee75411ff8f8d7b9688b

[ "MIT" ]

null

from __future__ import unicode_literals import json import numpy as np from builtins import str from abc import ABCMeta, abstractmethod from pychemia import HAS_PYMONGO from pychemia.utils.computing import deep_unicode if HAS_PYMONGO: from pychemia.db import PyChemiaDB class Population: __metaclass__ = ABCMeta """ General class for all optimization algorithms that uses fixed and blocked Generations """ def __init__(self, name, tag, use_mongo=True): name = deep_unicode(name) self.tag = tag self.pcdb = None if isinstance(name, str): self.name = name if use_mongo: self.pcdb = PyChemiaDB(name) else: self.name = name.name if use_mongo: self.pcdb = name def __iter__(self): return self.pcdb.entries.find() def __len__(self): return len(self.members) def __str__(self): ret = ' Population Name: %s\n' % self.name ret += ' Tag: %s\n' % self.tag ret += ' Members: %s\n' % len(self) return ret def disable(self, entry_id): self.pcdb.entries.update({'_id': entry_id}, {'$set': {'status.' + self.tag: False}}) def enable(self, entry_id): self.pcdb.entries.update({'_id': entry_id}, {'$set': {'status.' + self.tag: True}}) def get_values(self, selection): ret = {} for i in selection: ret[i] = self.value(i) return ret def update_properties(self, entry_id, new_properties): self.pcdb.update(entry_id, properties=new_properties) def set_in_properties(self, entry_id, field, value): return self.pcdb.entries.update_one({'_id': entry_id}, {'$set': {'properties.'+field: value}}) def get_population_info(self): return self.pcdb.db.population_info.find_one({'tag': self.tag}) def insert_entry(self, entry): if 'structure' not in entry: entry['structure']={} if 'properties' not in entry: entry['properties']={} if 'status' not in entry: entry['status']={} self.pcdb.entries.insert(entry) def get_structure(self, entry_id): return self.pcdb.get_structure(entry_id) def set_structure(self, entry_id, structure): return self.pcdb.update(entry_id, structure=structure) def get_entry(self, entry_id, projection=None, with_id=True): """ Return an entry identified by 'entry_id' :param with_id: :param projection: Insert that projection into the query :param entry_id: A database identifier :return: """ if projection is None: projection = {} if not with_id: projection['_id']=0 entry = self.pcdb.entries.find_one({'_id': entry_id}, projection) return entry def ids_sorted(self, selection): values = np.array([self.value(i) for i in selection]) sorted_indices = np.argsort(values) return np.array(selection)[sorted_indices] def load_json(self, filename): filep = open(filename, 'r') data = json.load(filep) for entry in data: self.pcdb.entries.insert(entry) def random_population(self, n): """ Create N new random structures to the population :param n: (int) The number of new structures :return: (list) The identifiers for the new structures """ return [self.add_random() for i in range(n)] def replace_failed(self): pass def save_info(self): data = self.pcdb.db.population_info.find_one({'_id': self.tag}) if data is None: data = self.to_dict data['_id'] = self.tag self.pcdb.db.population_info.insert(data) else: self.pcdb.db.population_info.update({'_id': self.tag}, self.to_dict) def save_json(self, filename): ret = [] for entry_id in self.members: ret.append(self.get_entry(entry_id, with_id=False)) filep = open(filename, 'w') json.dump(ret, filep, sort_keys=True, indent=4, separators=(',', ': ')) def unlock_all(self, name=None): for i in self.members: self.pcdb.unlock(i, name=name) @abstractmethod def add_random(self): pass @abstractmethod def check_duplicates(self, ids): pass @abstractmethod def cross(self, ids): pass @abstractmethod def distance(self, entry_id, entry_jd): pass @abstractmethod def get_duplicates(self, ids): pass @abstractmethod def from_dict(self, population_dict): pass @abstractmethod def is_evaluated(self, entry_id): pass @abstractmethod def move_random(self, entry_id, factor=0.2, in_place=False, kind='move'): pass @abstractmethod def move(self, entry_id, entry_jd, factor=0.2, in_place=False): pass @abstractmethod def new_entry(self, data, active=True): pass @abstractmethod def recover(self): pass @abstractmethod def value(self, entry_id): pass @abstractmethod def str_entry(self, entry_id): pass @property def actives(self): return [entry['_id'] for entry in self.pcdb.entries.find({'status.' + self.tag: True}, {'_id': 1})] @property def actives_evaluated(self): return [x for x in self.actives if self.is_evaluated(x)] @property def actives_no_evaluated(self): return [x for x in self.actives if not self.is_evaluated(x)] @property def evaluated(self): return [entry for entry in self.members if self.is_evaluated(entry)] @property def fraction_evaluated(self): ret = np.sum([1 for i in self.actives if self.is_evaluated(i)]) return float(ret) / len(self.actives) @property def members(self): return [x['_id'] for x in self.pcdb.entries.find({}, {'_id': 1})] @property def to_dict(self): return {'name': self.name, 'tag': self.tag} @property def best_candidate(self): return self.ids_sorted(self.evaluated)[0] def refine_progressive(self, entry_id): pass

27.72807

107

0.607403

808

6,322

4.587871

0.191832

0.049096

0.041543

0.020502

0.222282

0.169409

0.094686

0.051794

0

0.002201

0.28124

6,322

227

108

27.85022

0.8136

0.049351

0

0.271605

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0.039071

0

1

0.265432

false

0.092593

0.049383

0.080247

0.444444

0

null

0

null

0

1

0

1

0

2

9cadce2a65716efbbbaef6fb365b1a19a14d1464

779

py

Python

code/mod.py

aragilar/python-testing

312496a9016975d99230744e262799999740720b

[ "CC-BY-4.0" ]

null

code/mod.py

aragilar/python-testing

312496a9016975d99230744e262799999740720b

[ "CC-BY-4.0" ]

null

code/mod.py

aragilar/python-testing

312496a9016975d99230744e262799999740720b

[ "CC-BY-4.0" ]

null

import os.path import numpy as np def sinc2d(x, y): if x == 0.0 and y == 0.0: return 1.0 elif x == 0.0: return np.sin(y) / y elif y == 0.0: return np.sin(x) / x else: return (np.sin(x) / x) * (np.sin(y) / y) def a(x): return x + 1 def b(x): return 2 * x def c(x): return b(a(x)) def std(vals): # surely this is cheating... return 1.0 def fib(n): if n == 0 or n == 1: return n else: return fib(n - 1) + fib(n - 2) def f(workdir=None): if workdir is None: workdir = os.getcwd() else: workdir = str(workdir) if not os.path.exists(os.path.join(workdir, "no.txt")): with open(os.path.join(workdir, "yes.txt"), "w") as f: f.write("42")

18.116279

62

0.499358

138

779

2.818841

0.34058

0.061697

0.046272

0.105398

0

0.040698

0.337612

779

42

63

18.547619

0.713178

0.033376

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0.15625

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false

0

0.0625

0.125

0.59375

0

null

0

null

0

1

0

1

0

2

9cbdcc9bd41342ec729fa4605f8c43d39b4c42ad

461

py

Python

python/chrysophylax/buy_and_hold.py

dichodaemon/chrysophylax

834214e7d021643084be910d2b99bd7d18497faa

[ "MIT" ]

null

python/chrysophylax/buy_and_hold.py

dichodaemon/chrysophylax

834214e7d021643084be910d2b99bd7d18497faa

[ "MIT" ]

null

python/chrysophylax/buy_and_hold.py

dichodaemon/chrysophylax

834214e7d021643084be910d2b99bd7d18497faa

[ "MIT" ]

null

import garm.indicators as gari import ham.time_utils as hamt import ohlcv import luigi import strategies as chs from luigi.util import inherits @inherits(chs.Strategy) class BuyAndHold(chs.Strategy): FN = gari.buy_and_hold_signals def requires(self): for m in hamt.months(self.start_date, self.end_date): yield ohlcv.OHLCV( self.pair, self.exchange, m, self.period, self.destination_path)

24.263158

61

0.683297

64

461

4.8125

0.625

0.071429

0

0.24295

461

18

62

25.611111

0.882521

0

1

0.071429

false

0

0.428571

0

0.642857

0

null

0

null

0

1

0

1

0

2

9ccf4e8bda92837d4e656009c423fc5151a4c436

1,024

py

Python

database/repositories/ModelBlobRepository.py

roblkenn/EECS441-Backend

96fa0ca6775c13426dacdcbe1da02a8fa6e887ed

[ "RSA-MD" ]

null

database/repositories/ModelBlobRepository.py

roblkenn/EECS441-Backend

96fa0ca6775c13426dacdcbe1da02a8fa6e887ed

[ "RSA-MD" ]

null

database/repositories/ModelBlobRepository.py

roblkenn/EECS441-Backend

96fa0ca6775c13426dacdcbe1da02a8fa6e887ed

[ "RSA-MD" ]

null

from azure.storage.blob.baseblobservice import BaseBlobService from azure.storage.blob.blockblobservice import BlockBlobService from database.models.Blob import Blob class ModelBlobRepository: def __init__(self): self.blockBlobService = BlockBlobService(account_name='stylesblobstorage', account_key='B4qA7PlPtEk+y/zDsn16+0KXjlLJpcmnZb9C/CLDTbU9PzI294Ithc6j3y+jBz6j4KKAe3LcqadtkKe24JhxIw==') self.blobService = BaseBlobService(account_name='stylesblobstorage', account_key='B4qA7PlPtEk+y/zDsn16+0KXjlLJpcmnZb9C/CLDTbU9PzI294Ithc6j3y+jBz6j4KKAe3LcqadtkKe24JhxIw==') self.containerName = 'models' def create(self, modelBytes, userId): self.blockBlobService.create_blob_from_text(self.containerName, userId, modelBytes) return userId def read(self, blobName): blob = self.blobService.get_blob_to_text(self.containerName, blobName) return Blob(blob) def delete(self, blobName): return self.blobService.delete_blob(self.containerName, blobName)

48.761905

186

0.783203

102

1,024

7.715686

0.352941

0.086404

0.040661

0.050826

0.312579

0

0.038245

0.131836

1,024

20

187

51.2

0.847019

0

0.210938

0.171875

0

1

0.25

false

0

0.1875

0.0625

0.6875

0

null

0

null

0

1

0

1

0

2

9cdaf7e31350059d27162184ea87fbd63d36f82d

409

py

Python

dust/exe.py

tanico-rikudo/raspi4

ead6064ee5eaf0fb3459487047903aeb031189b7

[ "MIT" ]

null

dust/exe.py

tanico-rikudo/raspi4

ead6064ee5eaf0fb3459487047903aeb031189b7

[ "MIT" ]

null

dust/exe.py

tanico-rikudo/raspi4

ead6064ee5eaf0fb3459487047903aeb031189b7

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- import RPi.GPIO as GPIO import time from datetime import datetime as dt import logging import json import sys from particle_counter import ParticleCounter # Make instance device001 = ParticleCounter(30) # Set signal pin device001.set_pin_number(PIN=14) # Excute device001.particle_count(count_times=1000000) # Finish GPIO.cleanup() print('==== Done ====')

16.36

45

0.753056

57

409

5.315789

0.666667

0

0.05949

0.136919

409

25

46

16.36

0.798867

0.207824

0

0.043887

0

1

0

false

0

0.583333

0

0.583333

0.083333

0

null

0

null

0

1

0

1

0

2

9cea6c5884c806c3032a4309da7131c515de5453

2,467

py

Python

registryServer/apps/account/api.py

HumanDynamics/openPDS-RegistryServer

fe88f513a93c116f6bd4e2d81b29376a45f16249

[ "MIT" ]

7

2015-01-05T17:25:15.000Z

2019-06-07T05:19:53.000Z

registryServer/apps/account/api.py

HumanDynamics/openPDS-RegistryServer

fe88f513a93c116f6bd4e2d81b29376a45f16249

[ "MIT" ]

1

2015-11-10T17:16:01.000Z

2015-11-18T16:09:43.000Z

registryServer/apps/account/api.py

HumanDynamics/openPDS-RegistryServer

fe88f513a93c116f6bd4e2d81b29376a45f16249

[ "MIT" ]

13

2015-01-05T17:25:20.000Z

2021-12-16T12:43:52.000Z

from django.contrib.auth.models import User from apps.account.models import Profile, Group from tastypie import fields from tastypie.authorization import DjangoAuthorization, Authorization from tastypie.resources import ModelResource, ALL, ALL_WITH_RELATIONS from tastypie.exceptions import BadRequest from django.db import IntegrityError from oauth2app.models import Client, AccessRange import pdb class UserResource(ModelResource): class Meta: queryset = User.objects.all() authorization = Authorization() excludes = ['last_login', 'password', 'date_joined'] def obj_create(self, bundle, request=None, **kwargs): username, password = bundle.data['username'], bundle.data['password'] try: bundle.obj = User.objects.create_user(username, '', password) except IntegrityError: raise BadRequest('That username already exists.') return bundle class GroupResource(ModelResource): class Meta: queryset = Group.objects.all() authorization = Authorization() # excludes = ['is_staff', 'is_superuser', 'last_login', 'password', 'date_joined'] class ClientResource(ModelResource): class Meta: queryset = Client.objects.all() authorization = Authorization() # excludes = ['is_staff', 'is_superuser', 'last_login', 'password', 'date_joined'] class ScopeResource(ModelResource): class Meta: queryset = AccessRange.objects.all() authorization = Authorization() # excludes = ['is_staff', 'is_superuser', 'last_login', 'password', 'date_joined'] class ProfileResource(ModelResource): user = fields.ForeignKey(UserResource, 'user', full=True) # group = fields.ForeignKey(GroupResource, 'group', full=True, null=True, blank=True) # client = fields.ForeignKey(ClientResource, 'client', full=True, null=True, blank=True) class Meta: queryset = Profile.objects.all() authorization = Authorization() # excludes = ['is_staff', 'is_superuser', 'last_login', 'password', 'date_joined'] def obj_create(self, bundle, request=None, **kwargs): try: password = bundle.data["user"].pop("password") bundle = super(ProfileResource, self).obj_create(bundle, request, **kwargs) bundle.obj.user.set_password(password) bundle.obj.user.save() except IntegrityError: raise BadRequest('Username already exists') return bundle

39.15873

91

0.691934

259

2,467

6.494208

0.277992

0.026754

0.050535

0.107015

0.378121

0.312723

0.282996

0

0.000503

0.194163

2,467

62

92

39.790323

0.845573

0.202675

0

0.382979

0

0.057682

0

1

0.042553

false

0.106383

0.191489

0

0.510638

0

null

0

null

0

1

0

1

0

2

9cf45647d9d8c0126932e004da932d00ac6a9682

189

py

Python

payments/urls.py

caocmai/maker

bec025c3301a21e75638aca28576c724b44e259f

[ "MIT" ]

null

payments/urls.py

caocmai/maker

bec025c3301a21e75638aca28576c724b44e259f

[ "MIT" ]

8

2020-06-06T01:12:07.000Z

2021-06-10T19:38:47.000Z

payments/urls.py

caocmai/Maker

bec025c3301a21e75638aca28576c724b44e259f

[ "MIT" ]

1

2020-03-05T08:11:39.000Z

from django.urls import path from . import views urlpatterns = [ path('charge/', views.charge, name='charge'), path('payment/', views.HomePageView.as_view(), name='payment'), ]

17.181818

67

0.671958

23

189

5.478261

0.565217

0

0.15873

189

10

68

18.9

0.792453

0

0.148148

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

null

0

1

0

2

9cfa728536bee61e0fd7a0cb5ca6747960450394

869

py

Python

dataanalysis/mopitt_data_analysis.py

s-ai-kia/nasa_stf

cc60cf7f74c77a78dc8fa1140d787614fc4cca7b

[ "MIT" ]

1

2020-10-05T04:11:45.000Z

dataanalysis/mopitt_data_analysis.py

s-ai-kia/nasa_stf

cc60cf7f74c77a78dc8fa1140d787614fc4cca7b

[ "MIT" ]

null

dataanalysis/mopitt_data_analysis.py

s-ai-kia/nasa_stf

cc60cf7f74c77a78dc8fa1140d787614fc4cca7b

[ "MIT" ]

3

2020-12-13T19:36:09.000Z

2021-11-25T19:01:51.000Z

# -*- coding: utf-8 -*- """mopitt_data_analysis.ipynb Automatically generated by Colaboratory. Original file is located at https://colab.research.google.com/drive/1bb_9kuO0Suo5761xgJioS84TrEdR5ojj """ import pandas as pd df = pd.read_csv('MOP02J-20200101-L2V18.0.3.csv') df.head() df tx = df[0:5000] tx import plotly.express as px fig4 = px.density_mapbox(tx, lat='# Latitude', lon=' Longitude', z=' COTotalColumn', radius=10, center=dict(lat=0, lon=180), zoom=0, mapbox_style="stamen-terrain") fig4.show() import chart_studio import chart_studio.plotly as py import chart_studio.tools as tls pip install chart_studio username = 'saikia' api_key = 'oIIOTBZOlv8hbx8XorKH' chart_studio.tools.set_credentials_file(username=username, api_key=api_key) py.plot(fig4, filename = 'csa-mopitt', auto_open=True)

21.195122

95

0.715765

123

869

4.918699

0.658537

0.090909

0.084298

0

0.059147

0.163406

869

40

96

21.725

0.77304

0.024166

0

1

0

0.170437

0.043741

0

null

0

0.263158

null

0

null

0

1

0

null

0

1

0

2

1416c17873c1a9581d387ea49ff4f96596f2b2dc

955

py

Python

test/test_1.py

rgooler/AOC2019

f761881240a5fe8711f730887f0f5033ea287e3d

[ "Apache-2.0" ]

null

test/test_1.py

rgooler/AOC2019

f761881240a5fe8711f730887f0f5033ea287e3d

[ "Apache-2.0" ]

null

test/test_1.py

rgooler/AOC2019

f761881240a5fe8711f730887f0f5033ea287e3d

[ "Apache-2.0" ]

null

from aoc2019 import * import unittest class Day1(unittest.TestCase): def test_mass_12(self): chall = Rocket() self.assertEqual(chall.calc_fuel_weight(12), 2) def test_mass_14(self): chall = Rocket() self.assertEqual(chall.calc_fuel_weight(14), 2) def test_mass_1969(self): chall = Rocket() self.assertEqual(chall.calc_fuel_weight(1969), 654) def test_mass_100756(self): chall = Rocket() self.assertEqual(chall.calc_fuel_weight(100756), 33583) def test_mass2_12(self): chall = Rocket() self.assertEqual(chall.calc_fuel_weight_recursive(12), 2) def test_mass2_1969(self): chall = Rocket() self.assertEqual(chall.calc_fuel_weight_recursive(1969), 966) def test_mass2_100756(self): chall = Rocket() self.assertEqual(chall.calc_fuel_weight_recursive(100756), 50346) if __name__ == '__main__': unittest.main()

28.088235

73

0.668063

122

955

4.909836

0.254098

0.081803

0.175292

0.222037

0.657763

0.57596

0

0.106469

0.223037

955

34

74

28.088235

0.700809

0

0.269231

0

0.008368

0

0.269231

1

0.269231

false

0

0.076923

0

0.384615

0

null

0

1

0

null

0

1

0

2

141e206d570003abeaf4105dda08506c129a99b2

403

py

Python

abc/abc107/abc107b.py

c-yan/atcoder

940e49d576e6a2d734288fadaf368e486480a948

[ "MIT" ]

1

2019-08-21T00:49:34.000Z

abc/abc107/abc107b.py

c-yan/atcoder

940e49d576e6a2d734288fadaf368e486480a948

[ "MIT" ]

null

abc/abc107/abc107b.py

c-yan/atcoder

940e49d576e6a2d734288fadaf368e486480a948

[ "MIT" ]

null

from sys import stdout H, W = map(int, input().split()) a = [input() for _ in range(H)] h = [all(c == '.' for c in a[i]) for i in range(H)] w = [True] * W for i in range(H): for j in range(W): w[j] = w[j] and a[i][j] == '.' for i in range(H): if h[i]: continue for j in range(W): if w[j]: continue stdout.write(a[i][j]) stdout.write('\n')

19.190476

51

0.48139

76

403

2.539474

0.315789

0.217617

0.165803

0.170984

0.310881

0

0.320099

403

20

52

20.15

0.70438

0

0.375

0

0.009926

0

1

0

false

0

0.0625

0

0.0625

0

null

1

0

1

0

null

0

2

142313749cfd9431bfe0ceeb096274e6b438b71c

350

py

Python

openpnm/topotools/__init__.py

lixuekai2001/OpenPNM

9026f0fed427d37f4caf1a79e4a7684490d52cf6

[ "MIT" ]

2

2019-08-24T09:17:40.000Z

2020-07-05T07:21:21.000Z

openpnm/topotools/__init__.py

xu-kai-xu/OpenPNM

61d5fc4729a0a29291cf6c53c07c4246e7a13714

[ "MIT" ]

2

2020-06-26T19:58:23.000Z

2021-12-14T07:16:41.000Z

openpnm/topotools/__init__.py

xu-kai-xu/OpenPNM

61d5fc4729a0a29291cf6c53c07c4246e7a13714

[ "MIT" ]

null

r""" Collection of functions for manipulating network topology ========================================================= This module contains a selection of functions that deal specifically with network topology. """ from ._topotools import * from ._perctools import * from ._graphtools import * from ._plottools import * from . import generators

23.333333

73

0.66

36

350

6.305556

0.666667

0.176211

0

0.131429

350

14

74

25

0.746711

0.594286

0

1

0

true

0

0.833333

0

0.833333

0

null

0

null

0

1

0

1

0

2

1437f6b2872552388cca334ea76cadd246a03878

6,406

py

Python

drip/api/subscribers.py

willjohnson/drip-python

13e2836b5acb7a822b0e1f9884e3249d37734cef

[ "MIT" ]

5

2019-04-11T19:32:14.000Z

2020-08-03T21:58:55.000Z

drip/api/subscribers.py

willjohnson/drip-python

13e2836b5acb7a822b0e1f9884e3249d37734cef

[ "MIT" ]

7

2019-03-19T03:54:49.000Z

2021-12-09T21:53:28.000Z

drip/api/subscribers.py

willjohnson/drip-python

13e2836b5acb7a822b0e1f9884e3249d37734cef

[ "MIT" ]

1

2021-01-11T21:51:51.000Z

from typing import TYPE_CHECKING from drip.utils import json_list, json_object, raise_response if TYPE_CHECKING: from requests import Session class Subscribers: session: 'Session' @json_object('subscribers') def create_or_update_subscriber(self, email, marshall=True, **options): """ create_or_update_subscriber(email, new_email=None, user_id=None, time_zone='Etc/UTC', lifetime_value=None, ip_address=None, tags=None, remove_tags=None, prospect=True, base_lead_score=30, eu_consent=None, eu_consent_message=None, marshall=True) Update a subscriber or create it if it doesn't exist. Arguments: email {str} -- Person's email address Call Options: new_email {str} -- Update the subscriber's email address, taking precedence over 'email' while creating (default: {None}) user_id {str} -- A custom unique identifier (default: {None}) time_zone {str} -- Timezone (default: {'Etc/UTC'}) lifetime_value {int} -- LifeTime Value, in cents (default: {None}) ip_address {str} -- IP Address (default: {None}) custom_fields {Mapping[str, Any]} -- Dictionary of custom fields and their values (default: {None}) tags {Iterable[str]} -- List of tags to apply (default: {None}) remove_tags {Iterable[str]} -- List of tags to remove (default: {None}) prospect {bool} -- Person is a Prospect (default: {True}) base_lead_score {int} -- Starting leadscore (default: {0}) eu_consent {str} -- Status of consent for GDPR: granted, denied (default: {None}) eu_consent_message {str} -- Message that was consented to (default: {None}) Other Keyword Arguments: marshall {bool} -- Unpack the Response object (default: {True}) Returns: Response -- API Response, or the marshalled Subscriber object """ payload = { 'email': email, } payload.update(options) return self.session.post('subscribers', json={'subscribers': [payload, ]}) @json_list('subscribers') def subscribers(self, marshall=True, **params): """ subscribers(page=0, per_page=100, marshall=True) List all subscribers. Supports pagination and filtering. Call Parameters: page {int} -- Page to get, or 0 for all pages (default: {0}) per_page {int} -- Number of objects to get on each page (default: {100}) tags {Iterable[str]} -- List of tags to filter by (default: {None}) subscribed_before {str} -- Include only people created before this date, Eg. "2016-01-01T00:00:00Z" (default: {None}) subscribed_after {str} -- Include only people after before this date, Eg. "2016-01-01T00:00:00Z" (default: {None}) Other Keyword Arguments: marshall {bool} -- Unpack the Response object (default: {True}) Returns: Response -- API Response, or the marshalled List of Subscriber objects """ return self.session.get('subscribers', params=params) @json_object('subscribers') def subscriber(self, email, marshall=True): """ subscriber(email, marshall=True) Get a subscriber. Arguments: email {str} -- Person's email address Other Keyword Arguments: marshall {bool} -- Unpack the Response object (default: {True}) Returns: Response -- API Response, or the marshalled Subscriber object """ return self.session.get(f'subscribers/{email}') @json_object('subscribers') def unsubscribe(self, email, marshall=True, **params): """ unsubscribe(email, campaign_id=None, marshall=True) Unsubscribe a subscriber from all campaigns, or optionally one specific campaign. Arguments: email {str} -- Person's email address Call Parameters: campaign_id {int} -- Campaign from which to remove the subscriber (default: {None}) Other Keyword Arguments: marshall {bool} -- Unpack the Response object (default: {True}) Returns: Response -- API Response, or the marshalled Subscriber object """ return self.session.post(f'subscribers/{email}/remove', params=params) @json_object('subscribers') def unsubscribe_from_all(self, email, marshall=True): """ unsubscribe_from_all(email, campaign_id=None, marshall=True) Unsubscribe a subscriber from all campaigns. Arguments: email {str} -- Person's email address Other Keyword Arguments: marshall {bool} -- Unpack the Response object (default: {True}) Returns: Response -- API Response, or the marshalled Subscriber object """ return self.session.post(f'subscribers/{email}/unsubscribe_all') @raise_response() def delete_subscriber(self, email): """ delete_subscriber(email, campaign_id=None, marshall=True) Delete a subscriber. Arguments: email {str} -- Person's email address Returns: Response -- API Response """ return self.session.delete(f'subscribers/{email}') # @pagination('subscribers') # def subscribers(self, # status: str = None, # active, all, unsubscribed, active_or_unsubscribed, undeliverable. Default: active # tags: 'Iterable[str]' = None, # subscribed_before: str = None, # "2017-01-01T00:00:00Z" # subscribed_after: str = None, # page: int = 0, # per_page: int = None, # marshall=True) -> 'Response': # payload: 'MutableMapping[str, Any]' = {} # if status: # payload['status'] = status # if tags: # payload['tags'] = tags # if subscribed_before: # payload['subscribed_before'] = subscribed_before # if subscribed_after: # payload['subscribed_after'] = subscribed_after # if page: # payload['page'] = page # if per_page: # payload['per_page'] = per_page # return self.session.get('subscribers', params=payload)

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5.395745

0.215603

0.037592

0.031283

0.041009

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0.303102

0.282072

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0

null

0

null

0

1

0

1

0

2

143b9d9f954626237df01251d000fda5f839d52f

680

py

Python

utils/notification/notification_manager.py

sanjusci/google_sheet_reader

c2b11bdb1eb3e2799cdd22aa4ed67f9c86daea56

[ "MIT" ]

null

utils/notification/notification_manager.py

sanjusci/google_sheet_reader

c2b11bdb1eb3e2799cdd22aa4ed67f9c86daea56

[ "MIT" ]

3

2021-02-08T20:27:15.000Z

2021-06-01T23:18:51.000Z

utils/notification/notification_manager.py

sanjusci/google_sheet_reader

c2b11bdb1eb3e2799cdd22aa4ed67f9c86daea56

[ "MIT" ]

null

# Create your service here. __author__ = "Sanju Sci" __email__ = "sanju.sci9@gmail.com" __copyright__ = "Copyright 2019." from utils.commons import safe_invoke class NotificationManager(object): def __init__(self, *args, **kwargs): pass def notify(self, *args, **kwargs): pass @staticmethod def notify_sync(notif_mgr, *args, **kwargs): safe_invoke(notif_mgr.notify, *args) @classmethod def EMAIL(cls, *args, **kwargs): from utils.notification.email.email_manager import EmailManager return EmailManager(*args, **kwargs) class Parameters(object): pass __all__ = ["NotificationManager", "Parameters"]

20.606061

71

0.680882

75

680

5.826667

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0.114416

0.064073

0.08238

0

0.009242

0.204412

680

32

72

21.25

0.798521

0.036765

0

0.157895

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0.210526

false

0.157895

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0.473684

0

null

0

null

0

1

0

1

0

2

145acd330fc58583c49d623ffb6e709da478a671

315

py

Python

tests/test_set_up_logger.py

dennlinger/hypergraph-document-store

72b90119b163b92254c73442bee52cde55e58517

[ "MIT" ]

null

tests/test_set_up_logger.py

dennlinger/hypergraph-document-store

72b90119b163b92254c73442bee52cde55e58517

[ "MIT" ]

1

2019-12-12T09:20:00.000Z

tests/test_set_up_logger.py

dennlinger/hypergraph-document-store

72b90119b163b92254c73442bee52cde55e58517

[ "MIT" ]

1

2021-07-22T14:16:47.000Z

from unittest import TestCase import os class TestSet_up_logger(TestCase): def test_set_up_logger(self): from utils import set_up_logger from logging import Logger logger = set_up_logger("test", "test.log") self.assertIsInstance(logger, Logger) os.remove("test.log")

22.5

50

0.688889

42

315

4.952381

0.428571

0.153846

0.158654

0

0.231746

315

13

51

24.230769

0.859504

0

0.063492

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0.111111

false

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0

null

0

null

0

1

0

1

0

2

145ef1cdc80727bde5f62588059dc90f98d8c984

535

py

Python

src/generic.py

jfecroft/Hamilton

35ade5fc07a330e6a05e1ea391a16b8874737eb5

[ "MIT" ]

null

src/generic.py

jfecroft/Hamilton

35ade5fc07a330e6a05e1ea391a16b8874737eb5

[ "MIT" ]

null

src/generic.py

jfecroft/Hamilton

35ade5fc07a330e6a05e1ea391a16b8874737eb5

[ "MIT" ]

null

""" generic functions """ from yaml import load def reduce_output(func, item, *args, **kwargs): """ simple function to reduce output from existing functions if func returns an iterable - just return item """ def inner_func(*args, **kwargs): return func(*args, **kwargs)[item] return inner_func def load_yaml(filen): """ load a yaml file and return the json object """ with open('{}.yml'.format(filen), 'r') as open_file: return_dict = load(open_file) return return_dict

21.4

60

0.642991

72

535

4.666667

0.527778

0.089286

0.083333

0

0.239252

535

24

61

22.291667

0.825553

0.31028

0

0.021538

0

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0.333333

false

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0.111111

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0

null

0

null

0

1

0

1

0

2

146252a9963181e60bb9b862f53e83071c1987b1

2,925

py

Python

venv/lib/python3.7/site-packages/MDAnalysis/selections/__init__.py

dtklinh/GBRDE

c87fada492f24943d7d6b6ecda61c67f41d5bf83

[ "MIT" ]

2

2021-03-04T16:57:06.000Z

2021-08-11T01:42:29.000Z

venv/lib/python3.7/site-packages/MDAnalysis/selections/__init__.py

dtklinh/GBRDE

c87fada492f24943d7d6b6ecda61c67f41d5bf83

[ "MIT" ]

null

venv/lib/python3.7/site-packages/MDAnalysis/selections/__init__.py

dtklinh/GBRDE

c87fada492f24943d7d6b6ecda61c67f41d5bf83

[ "MIT" ]

null

# -*- Mode: python; tab-width: 4; indent-tabs-mode:nil; coding:utf-8 -*- # vim: tabstop=4 expandtab shiftwidth=4 softtabstop=4 # # MDAnalysis --- https://www.mdanalysis.org # Copyright (c) 2006-2017 The MDAnalysis Development Team and contributors # (see the file AUTHORS for the full list of names) # # Released under the GNU Public Licence, v2 or any higher version # # Please cite your use of MDAnalysis in published work: # # R. J. Gowers, M. Linke, J. Barnoud, T. J. E. Reddy, M. N. Melo, S. L. Seyler, # D. L. Dotson, J. Domanski, S. Buchoux, I. M. Kenney, and O. Beckstein. # MDAnalysis: A Python package for the rapid analysis of molecular dynamics # simulations. In S. Benthall and S. Rostrup editors, Proceedings of the 15th # Python in Science Conference, pages 102-109, Austin, TX, 2016. SciPy. # doi: 10.25080/majora-629e541a-00e # # N. Michaud-Agrawal, E. J. Denning, T. B. Woolf, and O. Beckstein. # MDAnalysis: A Toolkit for the Analysis of Molecular Dynamics Simulations. # J. Comput. Chem. 32 (2011), 2319--2327, doi:10.1002/jcc.21787 # """ Selection exporters =================== Functions to write a :class:`MDAnalysis.core.groups.AtomGroup` selection to a file so that it can be used in another programme. :mod:`MDAnalysis.selections.vmd` VMD_ selections :mod:`MDAnalysis.selections.pymol` PyMol_ selections :mod:`MDAnalysis.selections.gromacs` Gromacs_ selections :mod:`MDAnalysis.selections.charmm` CHARMM_ selections The :class:`MDAnalysis.selections.base.SelectionWriterBase` base class and helper functions are in :mod:`MDAnalysis.selections.base`, with the exception of `:func:get_writer`: .. autofunction:: get_writer """ from __future__ import absolute_import from six import raise_from import os.path from .. import _SELECTION_WRITERS from . import vmd from . import pymol from . import gromacs from . import charmm from . import jmol def get_writer(filename, defaultformat): """Return a SelectionWriter for `filename` or a `defaultformat`. Parameters ---------- filename : str name of the output file; the extension is used to guess the file format defaultformat : str if `filename` does not have an extension, use `defaultformat` instead Returns ------- SelectionWriter : `type` the writer *class* for the detected format Raises ------ :exc:`NotImplementedError` for any format that is not defined """ if filename: format = os.path.splitext(filename)[1][1:] # strip initial dot! format = format or defaultformat # use default if no fmt from fn format = format.strip().upper() # canonical for lookup try: return _SELECTION_WRITERS[format] except KeyError: raise_from(NotImplementedError( "Writing as {0!r} is not implemented;" " only {1!r} will work.".format(format, _SELECTION_WRITERS.keys())), None)

31.451613

80

0.696752

396

2,925

5.09596

0.530303

0.034688

0.056987

0.049058

0.061447

0

0.029636

0.192479

2,925

92

81

31.793478

0.824725

0.726838

0

0.082739

0

1

0.047619

false

0

0.428571

0

0.52381

0

null

0

null

0

1

0

1

0

2

1472d75a6abf289e47bd71dbaf7c5950d9fe47ac

1,332

py

Python

john_zelle_python3/gpa.py

alirkaya/programming-textbook-solutions

7362dce474b8a881d654f95604e09d1d0e76aec2

[ "MIT" ]

null

john_zelle_python3/gpa.py

alirkaya/programming-textbook-solutions

7362dce474b8a881d654f95604e09d1d0e76aec2

[ "MIT" ]

null

john_zelle_python3/gpa.py

alirkaya/programming-textbook-solutions

7362dce474b8a881d654f95604e09d1d0e76aec2

[ "MIT" ]

null

class Student: def __init__(self, name, hours, qpoints): self.name = name self.hours = float(hours) self.qpoints = float(qpoints) def get_name(self): return self.name def get_hours(self): return self.hours def get_qpoints(self): return self.qpoints def gpa(self): return self.qpoints / self.hours def make_student(info_str): # info_str is a tab-separated line: name hours qpoints # returns a corresponding Student object name, hours, qpoints = info_str.split('\t') return Student(name, hours, qpoints) def main(): # open the input file for reading filename = input('Enter the name of the grade file: ') infile = open(filename, 'r') # set best to the record for the first student in the file best = make_student(infile.readline()) # process subsequent lines of the file for line in infile: # turn the line into a student record s = make_student(line) # if this student is best so far, remember it. if s.gpa() > best.gpa(): best = s infile.close() # print information about the best student print('The best student is', best.get_name()) print('hours:', best.get_hours()) print('GPA:', best.gpa()) if __name__ == '__main__': main()

25.615385

63

0.627628

184

1,332

4.418478

0.331522

0.04428

0.078721

0.051661

0

0.272523

1,332

52

64

25.615385

0.839009

0.258258

0

0.07551

0

1

0.241379

false

0

0.137931

0.448276

0.103448

0

null

0

null

0

1

0

1

0

2

147da05a9f652a5715c04bef141e04cc07ea681a

790

py

Python

aws_sso/utils/registry.py

rkhullar/many-sso

14e019187e411bdeee77152310b09d250ec90555

[ "MIT" ]

2

2019-12-15T18:57:58.000Z

2020-06-15T22:02:29.000Z

aws_sso/utils/registry.py

rkhullar/many-sso

14e019187e411bdeee77152310b09d250ec90555

[ "MIT" ]

1

2020-02-06T19:02:36.000Z

aws_sso/utils/registry.py

rkhullar/many-sso

14e019187e411bdeee77152310b09d250ec90555

[ "MIT" ]

null

from typing import Callable, Dict, Type def register_action(action: str, mapping_name: str = '__actions__'): # https://stackoverflow.com/questions/3589311/get-defining-class-of-unbound-method-object-in-python-3/25959545#25959545 class RegistryHandler: def __init__(self, fn: Callable): self.fn = fn def __set_name__(self, owner: Type, name: str): if not hasattr(owner, mapping_name): setattr(owner, mapping_name, dict()) mapping: Dict[str: Callable] = getattr(owner, mapping_name) mapping[action] = self.fn setattr(owner, name, self.fn) return RegistryHandler def register_service(cls): """discover methods within a class with prefix "handle_" and populate the actions"""

30.384615

123

0.663291

96

790

5.25

0.552083

0.087302

0.095238

0

0.039539

0.231646

790

25

124

31.6

0.790774

0.248101

0

0.018739

0

1

0.307692

false

0

0.076923

0

0.538462

0

null

0

null

0

1

0

1

0

2

14848a43d3f090cdc183de7af48de1c3e490059a

311

py

Python

fuzzi-gen/fuzzi/evaluation/pate.py

hengchu/fuzzi-impl

bcf49c42d2dd4e1e3c1fe8b85fa7f845ea8fd016

[ "BSD-3-Clause" ]

4

2019-04-02T15:54:21.000Z

2022-02-14T20:34:00.000Z

fuzzi-gen/fuzzi/evaluation/pate.py

hengchu/fuzzi-impl

bcf49c42d2dd4e1e3c1fe8b85fa7f845ea8fd016

[ "BSD-3-Clause" ]

1

2019-08-19T13:53:50.000Z

fuzzi-gen/fuzzi/evaluation/pate.py

hengchu/fuzzi-impl

bcf49c42d2dd4e1e3c1fe8b85fa7f845ea8fd016

[ "BSD-3-Clause" ]

null

import numpy as np def main(): from fuzzi.evaluation import pate_train from fuzzi.generated import pate_label predictions = pate_label.outputs truth = [x[-1] for x in pate_label.db_test] print(predictions) print(truth) print('PATE accuracy = %f' % (np.mean(predictions == truth)))

25.916667

65

0.691318

44

311

4.772727

0.590909

0.128571

0

0.004049

0.205788

311

11

66

28.272727

0.846154

0

1

0

0.057878

0

1

0.111111

false

0

0.333333

0

0.444444

0.333333

0

null

0

1

0

null

0

1

0

2

148fa74d7a5813457d336a4cb138f1b0a1e99c02

1,321

py

Python

urchin/fs/mp3file.py

kellen/urchinfs

ea47d8997b42b9b472ea16d1bc7921b988840e4b

[ "Unlicense" ]

2

2021-11-08T03:11:32.000Z

2021-11-08T08:21:24.000Z

urchin/fs/mp3file.py

kellen/urchinfs

ea47d8997b42b9b472ea16d1bc7921b988840e4b

[ "Unlicense" ]

null

urchin/fs/mp3file.py

kellen/urchinfs

ea47d8997b42b9b472ea16d1bc7921b988840e4b

[ "Unlicense" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import absolute_import import os import logging from fnmatch import fnmatch import mutagen from mutagen.easyid3 import EasyID3 import urchin.fs.default import urchin.fs.json import urchin.fs.plugin import urchin.fs.mp3 MP3_GLOB = "*.mp3" class Plugin(urchin.fs.plugin.Plugin): name = "mp3file" def __init__(self): super(Plugin, self).__init__( indexer=Mp3FileIndexer, matcher=urchin.fs.default.DefaultMetadataMatcher, extractor=urchin.fs.mp3.Mp3MetadataExtractor, merger=urchin.fs.default.DefaultMerger, munger=urchin.fs.default.DefaultMunger, formatter=Mp3FileFormatter, ) class Mp3FileIndexer(urchin.fs.abstract.AbstractFileIndexer): name = "mp3file" def __init__(self, config): super(Mp3FileIndexer, self).__init__(config, MP3_GLOB) class Mp3FileFormatter(urchin.fs.plugin.Formatter): name = "mp3file" def __init__(self, config): pass def format(self, original_name, metadata): # reduce single values from sets d = {k: list(v)[0] if type(v) == set and len(v) == 1 else v for k,v in metadata.items()} return set(["%(tracknumber)s - %(artist)s - %(title)s" % d])

30.022727

96

0.659349

158

1,321

5.335443

0.462025

0.104389

0.066429

0.064057

0.092527

0.066429

0

0.018664

0.229372

1,321

43

97

30.72093

0.80943

0.055261

0

0.151515

0

0.053012

0

1

0.121212

false

0.030303

0.30303

0

0.636364

0

null

0

null

0

1

0

1

0

2

14ac2d2492de50193750cbad1ef4a4ffc1cccf0a

618

py

Python

app/core/serializers.py

jblanquicett92/django_celery_app

5b0069905ec721cc1632611f08c733a5b93d20d8

[ "MIT" ]

null

app/core/serializers.py

jblanquicett92/django_celery_app

5b0069905ec721cc1632611f08c733a5b93d20d8

[ "MIT" ]

null

app/core/serializers.py

jblanquicett92/django_celery_app

5b0069905ec721cc1632611f08c733a5b93d20d8

[ "MIT" ]

null

from rest_framework import serializers from .models import Event, Notification class EventSerializer(serializers.ModelSerializer): class Meta: model = Event exclude = ('id', 'moved_to', 'received_timestamp',) class EventExcludeIDSerializer(serializers.ModelSerializer): class Meta: model = Event fields = ('file_name', 'file_path', 'moved_to', 'received_timestamp') class NotificationSerializer(serializers.ModelSerializer): event_data=EventExcludeIDSerializer() class Meta: model = Notification exclude = ('id',)

25.75

77

0.669903

54

618

7.518519

0.481481

0.192118

0.103448

0.172414

0.364532

0.221675

0

0.2411

618

23

78

26.869565

0.865672

0

0.333333

0

0.119741

0

1

0

false

0

0.133333

0

0.6

0

null

0

1

0

null

0

1

0

2

1ae21a526218223ed04c6372b03062ed8240aa78

1,671

py

Python

Controller/controleTelas.py

IuriBritoDev/TKINO

3c689788324bd5badc84c7969f331b076046c211

[ "MIT" ]

null

Controller/controleTelas.py

IuriBritoDev/TKINO

3c689788324bd5badc84c7969f331b076046c211

[ "MIT" ]

null

Controller/controleTelas.py

IuriBritoDev/TKINO

3c689788324bd5badc84c7969f331b076046c211

[ "MIT" ]

null

from View import telaRelatorio, telaNovoProjeto, telaAbrirProjeto, telaCadastro, telaConfigura, telaConexao, telaEditarControle, telaPopUp from View.Painel import painelSensores, painelControladores, painelConexao from View.Conexao import telaConAnalogAnalog, telaConAnalogDigit, telaConDigitAnalog, telaConDigitDigit # Abre as telas da aba de seleção def AbreTelaNovoProjeto(tela): telaNovoProjeto.TelaNovoProjeto(tela) def AbreTelaAbrirProjeto(tela): telaAbrirProjeto.TelaAbrirProjeto(tela) def AbreTelaRelatorio(tela): telaRelatorio.TelaRelatorio(tela) def AbreTelaCadastro(tela): telaCadastro.TelaCadastro(tela) def AbreTelaConfigura(tela): telaConfigura.TelaConfigura(tela) def AbreTelaConexao(tela): telaConexao.TelaConexao(tela) # Abre telas de conexões de atuadores def AbreTelaConAnAn(tela): telaConAnalogAnalog.TelaConAnalogAnalog(tela) def AbreTelaConAnDig(tela): telaConAnalogDigit.TelaConAnalogDig(tela) def AbreTelaConDigAn(tela): telaConDigitAnalog.TelaConDigAnalog(tela) def AbreTelaConDigDig(tela): telaConDigitDigit.TelaConDigDig(tela) # Abre os frames das abas def AbreFrameSensores(frame): painelSensores.PainelSensores(frame) def AbreFrameControladores(frame, tela): painelControladores.PainelControladores(frame, tela) def AbreFrameConexao(frame, tela): painelConexao.PainelConexao(frame, tela) # Abre telas de edição da conexão e controladores def AbreEditorControlador(tela, controle): telaEditarControle.TelaEditarControle(tela, controle) # Abre telas de PopUP def AbrePopUp(tela, mensagem): telaPopUp.TelaPopUp(tela, mensagem)

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1,671

8.597403

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0.047583

0.024924

0.022659

0

0.137642

1,671

69

139

24.217391

0.918806

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0

1

0.454545

false

0

0.090909

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0.545455

0

null

0

null

0

1

0

1

0

2

1aef5c7a0e77fccf10468e703c0a3cb229409069

2,336

py

Python

tests/__init__.py

contentstack/contentstack-utils-python

3c7bb445dc77e5a2ab18ceac6f87a35d37b52186

[ "MIT" ]

null

tests/__init__.py

contentstack/contentstack-utils-python

3c7bb445dc77e5a2ab18ceac6f87a35d37b52186

[ "MIT" ]

null

tests/__init__.py

contentstack/contentstack-utils-python

3c7bb445dc77e5a2ab18ceac6f87a35d37b52186

[ "MIT" ]

null

# pytest --html=tests/report/test-report.html # above command runs tests and test reports generates in tests/report location. # nosetests --with-coverage --cover-html # clean all the .pyc files # find . -name \*.pyc -delete # nosetests --with-coverage --cover-html # pytest --cov=contentstack_utils # pytest -v --cov=contentstack_utils --cov-report=html # pytest --html=tests/report/test-report.html from unittest import TestLoader, TestSuite from .convert_style import TestConvertStyle from .test_default_opt_others import TestDefaultOptOther from .test_helper_node_to_html import TestHelperNodeToHtml from .test_item_types import TestItemType from .test_metadata import TestMetadata from .test_option_render_mark import TestOptionRenderMark from .test_render_default_options import TestRenderDefaultOption from .test_render_options import TestRenderOption from .test_style_type import TestStyleType from .test_util_srte import TestSuperchargedUtils from .test_utils import TestUtility def all_tests(): test_module_itemtype = TestLoader().loadTestsFromTestCase(TestItemType) test_module_metadata = TestLoader().loadTestsFromTestCase(TestMetadata) test_module_style_type = TestLoader().loadTestsFromTestCase(TestStyleType) test_module_utility = TestLoader().loadTestsFromTestCase(TestUtility) test_module_default_option = TestLoader().loadTestsFromTestCase(TestDefaultOptOther) test_module_node_to_html = TestLoader().loadTestsFromTestCase(TestHelperNodeToHtml) test_module_render_mark = TestLoader().loadTestsFromTestCase(TestOptionRenderMark) test_module_render_default_option = TestLoader().loadTestsFromTestCase(TestRenderDefaultOption) test_module_render_option = TestLoader().loadTestsFromTestCase(TestRenderOption) test_module_utils_srte = TestLoader().loadTestsFromTestCase(TestSuperchargedUtils) test_module_convert_style = TestLoader().loadTestsFromTestCase(TestConvertStyle) suite = TestSuite([ test_module_itemtype, test_module_metadata, test_module_style_type, test_module_utility, test_module_default_option, test_module_node_to_html, test_module_render_mark, test_module_render_default_option, test_module_render_option, test_module_utils_srte, test_module_convert_style ])

44.075472

99

0.81036

254

2,336

7.094488

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0.053274

0.023307

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2,336

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100

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0.351351

0

null

0

1

0

null

0

1

0

2

1afafdaa5a55f840c140378943d38c4159a3e9db

610

py

Python

Exercicios - Mundo3/Ex109/teste.py

BrianMath/ExerciciosPythonCeV

4960f1a58d281b32afd5dfd6ea65e0ae5ad48b4f

[ "MIT" ]

null

Exercicios - Mundo3/Ex109/teste.py

BrianMath/ExerciciosPythonCeV

4960f1a58d281b32afd5dfd6ea65e0ae5ad48b4f

[ "MIT" ]

null

Exercicios - Mundo3/Ex109/teste.py

BrianMath/ExerciciosPythonCeV

4960f1a58d281b32afd5dfd6ea65e0ae5ad48b4f

[ "MIT" ]

null

import moeda preco = float(input("Digite o preço: R$")) por100 = float(input("Digite a porcentagem: ")) formatar = str(input("Deseja formatar como moeda [S/N]? ")).upper() if "S" in formatar: formatado = True else: formatado = False print(f"\nA metade de {moeda.moeda(preco)} é {moeda.metade(preco, formatado)}") print(f"O dobro de {moeda.moeda(preco)} é {moeda.dobro(preco, formatado)}") print(f"Aumentando {por100}% de {moeda.moeda(preco)}, temos {moeda.aumentar(preco, por100, formatado)}") print(f"Diminuindo {por100}% de {moeda.moeda(preco)}, temos {moeda.diminuir(preco, por100, formatado)}")

38.125

104

0.701639

88

610

4.863636

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0.116822

0.11215

0.158879

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0.154206

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0.027985

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610

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0

null

0

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null

0

2

210e8623af2b83c3331b035c74ce32e4c79cb05e

2,735

py

Python

zeus/common/ipc/uni_comm.py

wnov/vega

bf51cbe389d41033c4ae4bc02e5078c3c247c845

[ "MIT" ]

6

2020-11-13T15:44:47.000Z

2021-12-02T08:14:06.000Z

zeus/common/ipc/uni_comm.py

JacobLee121/vega

19256aca4d047bfad3b461f0a927e1c2abb9eb03

[ "MIT" ]

null

zeus/common/ipc/uni_comm.py

JacobLee121/vega

19256aca4d047bfad3b461f0a927e1c2abb9eb03

[ "MIT" ]

2

2021-06-25T09:42:32.000Z

2021-08-06T18:00:09.000Z

# Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved. # # 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, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. """Uni comm.""" import threading from absl import logging from zeus.common.util.register import Registers class UniComm(object): """Uni comm.""" def __init__(self, comm_name, **comm_info): super(UniComm, self).__init__() self.comm = Registers.comm[comm_name](comm_info) self.lock = threading.Lock() def send(self, data, name=None, block=True, **kwargs): """Create common send interface.""" return self.comm.send(data, name, block, **kwargs) def recv(self, name=None, block=True): """Create common recieve interface.""" return self.comm.recv(name, block) def send_bytes(self, data): """Create common send_bytes interface.""" return self.comm.send_bytes(data) def recv_bytes(self): """Create common recv_bytes interface.""" return self.comm.recv_bytes() def send_multipart(self, data): """Create common send_multipart interface.""" return self.comm.send_multipart(data) def recv_multipart(self): """Create common recv_multipart interface.""" return self.comm.recv_multipart() def delete(self, name): """Delete.""" return self.comm.delete(name) @property def info(self): """Fetch comm info.""" return str(self.comm) def close(self): """Close.""" logging.debug("start close comm...") with self.lock: try: self.comm.close() except AttributeError as err: logging.info("call comm.close failed! with: \n{}".format(err))

35.986842

79

0.677514

365

2,735

5.010959

0.40274

0.048114

0.053581

0.075451

0.130126

0

0.001878

0.221207

2,735

75

80

36.466667

0.856808

0.496892

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0

null

0

null

0

1

0

1

0

2

21160771a6aab5b0c62e80306c257ce5f76ec26d

300

py

Python

FreeCodeCamp/Scientific Computing with Python/Python for Everybody/09.py

saulpaiva/Code

3c6591da52ccf40565ed0a4e857e83e7f643b72d

[ "MIT" ]

1

2021-09-29T01:26:29.000Z

FreeCodeCamp/Scientific Computing with Python/Python for Everybody/09.py

saulpaiva/Code

3c6591da52ccf40565ed0a4e857e83e7f643b72d

[ "MIT" ]

null

FreeCodeCamp/Scientific Computing with Python/Python for Everybody/09.py

saulpaiva/Code

3c6591da52ccf40565ed0a4e857e83e7f643b72d

[ "MIT" ]

null

# Iterations: Definite Loops ''' Use the 'for' word there is a iteration variable like 'i' or 'friend' ''' # for i in [5, 4, 3, 2, 1] : # print(i) # print('Blastoff!') # friends = ['matheus', 'wataru', 'mogli'] # for friend in friends : # print('happy new year:', friend) # print('Done!')

18.75

50

0.596667

43

300

4.162791

0.744186

0

0.021097

0.21

300

15

51

20

0.734177

0.91

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

null

0

1

0

2

211ad11f9ebdef48bf332ecf751958ae13ba3bd7

566

py

Python

core/migrations/0004_auto_20210502_0503.py

Armestrong/resale_api

75a798f2aa95b7d316e145f3811fa05537c606df

[ "MIT" ]

null

core/migrations/0004_auto_20210502_0503.py

Armestrong/resale_api

75a798f2aa95b7d316e145f3811fa05537c606df

[ "MIT" ]

null

core/migrations/0004_auto_20210502_0503.py

Armestrong/resale_api

75a798f2aa95b7d316e145f3811fa05537c606df

[ "MIT" ]

null

# Generated by Django 2.2 on 2021-05-02 08:03 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('core', '0003_auto_20210502_0459'), ] operations = [ migrations.AlterField( model_name='property', name='features', field=models.CharField(max_length=255, null=True), ), migrations.AlterField( model_name='property', name='finality', field=models.CharField(max_length=255, null=True), ), ]

23.583333

62

0.584806

58

566

5.586207

0.637931

0.123457

0.154321

0.179012

0.5

0.246914

0

0.090909

0.300353

566

23

63

24.608696

0.727273

0.075972

0

0.470588

1

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0.044146

0

1

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false

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0.058824

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0.235294

0

null

0

1

0

1

0

null

0

2

2130a3b1de35b98506260b7bd36a4036bd7b7be6

2,054

py

Python

encrypted_fields_test/migrations/0003_demomigrationmodel_add_more_fields.py

bishtamit/django-searchable-encrypted-fields

dce4afe4aef826fda137dfae0f60c683d5b40a46

[ "MIT" ]

1

2021-08-21T08:55:03.000Z

encrypted_fields_test/migrations/0003_demomigrationmodel_add_more_fields.py

bishtamit/django-searchable-encrypted-fields

dce4afe4aef826fda137dfae0f60c683d5b40a46

[ "MIT" ]

null

encrypted_fields_test/migrations/0003_demomigrationmodel_add_more_fields.py

bishtamit/django-searchable-encrypted-fields

dce4afe4aef826fda137dfae0f60c683d5b40a46

[ "MIT" ]

null

# Generated by Django 2.1 on 2020-10-08 10:05 import datetime from django.db import migrations import encrypted_fields.fields class Migration(migrations.Migration): dependencies = [ ('encrypted_fields_test', '0002_demomigrationmodel_add_test_record'), ] operations = [ migrations.AddField( model_name='demomigrationmodel', name='_default_char', field=encrypted_fields.fields.EncryptedCharField(default='foo default', max_length=20), ), migrations.AddField( model_name='demomigrationmodel', name='_default_date', field=encrypted_fields.fields.EncryptedDateField(default=datetime.date.today), ), migrations.AddField( model_name='demomigrationmodel', name='_default_number', field=encrypted_fields.fields.EncryptedPositiveSmallIntegerField(default=1), ), migrations.AddField( model_name='demomigrationmodel', name='searchable_default_char', field=encrypted_fields.fields.SearchField(blank=True, db_index=True, encrypted_field_name='_default_char', hash_key='123abc', max_length=66, null=True), ), migrations.AddField( model_name='demomigrationmodel', name='searchable_default_date', field=encrypted_fields.fields.SearchField(blank=True, db_index=True, encrypted_field_name='_default_date', hash_key='123abc', max_length=66, null=True), ), migrations.AddField( model_name='demomigrationmodel', name='default_encrypted_char', field=encrypted_fields.fields.EncryptedCharField(default='encrypted hi', max_length=20), ), migrations.AddField( model_name='demomigrationmodel', name='searchable_default_number', field=encrypted_fields.fields.SearchField(blank=True, db_index=True, encrypted_field_name='_default_number', hash_key='123abc', max_length=66, null=True), ), ]

40.27451

166

0.666504

203

2,054

6.458128

0.261084

0.102975

0.128146

0.144165

0.741419

0.683448

0.503432

0.402746

0.311213

0

0.024066

0.231256

2,054

50

167

41.08

0.806206

0.020935

0

0.477273

1

0

0.2001

0.076157

0

1

0

false

0

0.068182

0

0.136364

0

null

0

1

0

1

0

null

0

2

2142b80614595ab18852d993af6b0a6d8357433f

208

py

Python

Test3/Pandas.py

leejw51/BumblebeeNet

fd9bedbfaad9bb94bcb4f1dc44eec8125bb9c690

[ "MIT" ]

null

Test3/Pandas.py

leejw51/BumblebeeNet

fd9bedbfaad9bb94bcb4f1dc44eec8125bb9c690

[ "MIT" ]

null

Test3/Pandas.py

leejw51/BumblebeeNet

fd9bedbfaad9bb94bcb4f1dc44eec8125bb9c690

[ "MIT" ]

null

import pandas as pd data = {'name':['john', 'anna', 'peter', 'linda'], 'location': [ 'new york', 'paris', 'berlin', 'london'], 'age': [24, 13, 53, 33]} data_pandas = pd.DataFrame(data) print(data_pandas)

29.714286

57

0.610577

29

208

4.310345

0.793103

0.16

0

0.044944

0.144231

208

6

58

34.666667

0.657303

0

0.278846

0

1

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false

0

0.166667

0

0.166667

1

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null

0

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null

0

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