xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

654e9640e586b471b5fa96b3f75ca5fd0981375d

130

py

Python

src/__init__.py

nulinspiratie/notebook-website-generator

63b3cea29185c5a59ba6b3487bd75e03f9797399

[ "MIT" ]

null

src/__init__.py

nulinspiratie/notebook-website-generator

63b3cea29185c5a59ba6b3487bd75e03f9797399

[ "MIT" ]

null

src/__init__.py

nulinspiratie/notebook-website-generator

63b3cea29185c5a59ba6b3487bd75e03f9797399

[ "MIT" ]

null

from .tools import * from .converter_preprocessors import * from .compilers import * from .notebooks import * from .tools import *

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py

Python

src/gptsum/__main__.py

NicolasT/gptsum

5a316e9d0261bf4f6309d0571a51ba2971a7e1cf

[ "Apache-2.0" ]

null

src/gptsum/__main__.py

NicolasT/gptsum

5a316e9d0261bf4f6309d0571a51ba2971a7e1cf

[ "Apache-2.0" ]

37

2021-04-19T10:05:56.000Z

2022-02-18T08:12:33.000Z

src/gptsum/__main__.py

NicolasT/gptsum

5a316e9d0261bf4f6309d0571a51ba2971a7e1cf

[ "Apache-2.0" ]

null

"""Main entrypoint for the gptsum package. Simply invokes :func:`gptsum.cli.main`. """ import gptsum.cli if __name__ == "__main__": gptsum.cli.main()

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py

Python

octadocs/octiron/__init__.py

octadocs/octadocs

62f4340681f4e38ed961b58c5147a657363cae4d

[ "MIT" ]

1

2021-11-19T22:48:27.000Z

octadocs/octiron/__init__.py

octadocs/octadocs

62f4340681f4e38ed961b58c5147a657363cae4d

[ "MIT" ]

34

2020-12-27T11:49:08.000Z

2021-10-05T04:58:54.000Z

octadocs/octiron/__init__.py

octadocs/octadocs

62f4340681f4e38ed961b58c5147a657363cae4d

[ "MIT" ]

null

from octadocs.octiron.octiron import Octiron

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65d52302c3ef3631b10b70a2a39485f6cad70208

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py

Python

polymath/srdfg/templates/data_analytics.py

lite-david/polymath

cf1addc75e203fa606ebc6d32bc552fb3975ea99

[ "Apache-2.0" ]

15

2021-05-09T05:46:04.000Z

2022-03-06T20:46:32.000Z

polymath/srdfg/templates/data_analytics.py

lite-david/polymath

cf1addc75e203fa606ebc6d32bc552fb3975ea99

[ "Apache-2.0" ]

null

polymath/srdfg/templates/data_analytics.py

lite-david/polymath

cf1addc75e203fa606ebc6d32bc552fb3975ea99

[ "Apache-2.0" ]

4

2021-08-24T07:46:29.000Z

2022-03-05T18:23:07.000Z

import polymath as pm from polymath.srdfg.util import squeeze_shape from numbers import Integral import numpy as np import functools class svm_classifier_train(pm.Template): def define_graph(self, x, w, y, mu, m): i = pm.index(0, (m - 1).set_name("m-1"), name="i") h = pm.sum([i], (x[i] * w[i]), name="h") c = (y*h).set_name("c") ny = (0 - y).set_name("ny") p = ((c > 1)*ny).set_name("p") g = (p * x[i]).set_name("g") w[i] = w[i] - mu * g[i] class logistic_regressor_train(pm.Template): def define_graph(self, x, w, y, mu, m): i = pm.index(0, (m - 1).set_name("m-1"), name="i") h = pm.sigmoid(pm.sum([i], (x[i] * w[i]), name="h")) d = (h - y).set_name("h-y") g = (d * x[i]).set_name("d*x") w[i] = w[i] - mu * g[i] class linear_regressor(pm.Template): def define_graph(self, x, w, y_pred, mu, m): i = pm.index(0, (m - 1).set_name("m-1"), name="i") y_pred.write(pm.sum([i], (x[i] * w[i]), name="h")) class logistic_regressor(pm.Template): def define_graph(self, x, w, y_pred, mu, m): i = pm.index(0, (m - 1).set_name("m-1"), name="i") y_pred.write(pm.sigmoid(pm.sum([i], (x[i] * w[i]), name="h"))) class mc_logistic_regressor_train(pm.Template): def define_graph(self, x, w, y, y_pred, mu, m): i = pm.index(0, (m - 1).set_name("m-1"), name="i") h = pm.temp(name="h", shape=(m)) h = pm.sigmoid(pm.sum([i], (x[i] * w[i]), name="h")) d = (h - y).set_name("h-y") g = (d * x[i]).set_name("d*x") w[i] = w[i] - mu * g[i] class mc_logistic_regressor(pm.Template): def define_graph(self, x, w, y_pred, mu, m): i = pm.index(0, (m - 1).set_name("m-1"), name="i") h = pm.sigmoid(pm.sum([i], (x[i] * w[i]), name="h")) class linear_regressor_train(pm.Template): def define_graph(self, x, w, y, mu, m): i = pm.index(0, (m - 1).set_name("m-1"), name="i") h = pm.sum([i], (x[i] * w[i]), name="h") d = (h - y).set_name("h-y") g = (d * x[i]).set_name("d*x") w[i] = w[i] - mu * g[i] class ppo(pm.Template): def define_graph(self, obs, action, states, gamma=0.99, clip=0.2, ent_coeff=0.01, lam=0.95, adam_eps=1e-5): pass # TODO: Add reshape operator, constant operator, gemm

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028c7bc865a6c95bb8ce5ed7c6da64d2c8d23077

19,238

py

Python

reddash/app/home/routes.py

PredaaA/Red-Dashboard

5fcc2ba24a75b22c06f09208095c3a4e5ed27b88

[ "MIT" ]

null

reddash/app/home/routes.py

PredaaA/Red-Dashboard

5fcc2ba24a75b22c06f09208095c3a4e5ed27b88

[ "MIT" ]

null

reddash/app/home/routes.py

PredaaA/Red-Dashboard

5fcc2ba24a75b22c06f09208095c3a4e5ed27b88

[ "MIT" ]

null

# -*- encoding: utf-8 -*- """ License: MIT Copyright (c) 2019 - present AppSeed.us """ from reddash.app import app from reddash.app.home import blueprint from flask import render_template, redirect, url_for, session, request, jsonify, Response, g from flask_babel import _, refresh from jinja2 import TemplateNotFound import websocket import json import time import random import logging import datetime dashlog = logging.getLogger("reddash") def get_result(app, requeststr): app.ws.send(json.dumps(requeststr)) result = json.loads(app.ws.recv()) if "error" in result: if result["error"]["message"] == "Method not found": return jsonify({"status": 0, "message": _("Not connected to bot")}) dashlog.error(result["error"]) return jsonify({"status": 0, "message": _("Something went wrong")}) if isinstance(result["result"], dict) and result["result"].get("disconnected", False): return jsonify({"status": 0, "message": _("Not connected to bot")}) return jsonify({"status": 1, "data": result["result"]}) # --------------------------------------- API --------------------------------------- @blueprint.route("/api/getservers") def getservers(): if not session.get("id"): return jsonify({"status": 0, "message": _("Not logged in")}) try: requeststr = { "jsonrpc": "2.0", "id": 0, "method": "DASHBOARDRPC__GET_USERS_SERVERS", "params": [str(g.id)], } with app.lock: return get_result(app, requeststr) except: return jsonify({"status": 0, "message": _("Not connected to bot")}) @blueprint.route("/api/<guild>/serverprefix", methods=["POST"]) def serverprefix(guild): if not session.get("id"): return jsonify({"status": 0, "message": _("Not logged in")}) if ( end := app.cooldowns["serverprefix"].get( session.get("id"), datetime.datetime.now() - datetime.timedelta(seconds=5) ) ) > datetime.datetime.now(): return jsonify( { "status": 0, "message": _("You are doing that too much. Try again in {wait} seconds").format( wait=(end - datetime.datetime.now()).seconds ), } ) app.cooldowns["serverprefix"][ session.get("id") ] = datetime.datetime.now() + datetime.timedelta(seconds=5) data = request.json userid = g.id method = "set" prefixes = data.get("prefixes") if not prefixes: return jsonify({"status": 0, "message": _("Prefixes must be specified")}) try: int(guild) except ValueError: raise ValueError("Guild ID must be integer") try: requeststr = { "jsonrpc": "2.0", "id": 0, "method": "DASHBOARDRPC_BOTSETTINGS__SERVERPREFIX", "params": [str(guild), str(userid), method, prefixes], } with app.lock: return get_result(app, requeststr) except: return jsonify({"status": 0, "message": "Not connected to bot"}) @blueprint.route("/api/<guild>/adminroles", methods=["POST"]) def adminroles(guild): if not session.get("id"): return jsonify({"status": 0, "message": "Not logged in"}) if ( end := app.cooldowns["adminroles"].get( session.get("id"), datetime.datetime.now() - datetime.timedelta(seconds=5) ) ) > datetime.datetime.now(): return jsonify( { "status": 0, "message": _("You are doing that too much. Try again in {wait} seconds").format( wait=(end - datetime.datetime.now()).seconds ), } ) app.cooldowns["adminroles"][session.get("id")] = datetime.datetime.now() + datetime.timedelta( seconds=5 ) data = request.json userid = g.id method = "set" roles = data.get("roles") try: int(guild) except ValueError: raise ValueError("Guild ID must be integer") try: requeststr = { "jsonrpc": "2.0", "id": 0, "method": "DASHBOARDRPC_BOTSETTINGS__ADMINROLES", "params": [str(guild), str(userid), method, roles], } with app.lock: return get_result(app, requeststr) except: return jsonify({"status": 0, "message": "Not connected to bot"}) @blueprint.route("/api/<guild>/modroles", methods=["POST"]) def modroles(guild): if not session.get("id"): return jsonify({"status": 0, "message": "Not logged in"}) if ( end := app.cooldowns["modroles"].get( session.get("id"), datetime.datetime.now() - datetime.timedelta(seconds=5) ) ) > datetime.datetime.now(): return jsonify( { "status": 0, "message": _("You are doing that too much. Try again in {wait} seconds").format( wait=(end - datetime.datetime.now()).seconds ), } ) app.cooldowns["modroles"][session.get("id")] = datetime.datetime.now() + datetime.timedelta( seconds=5 ) data = request.json userid = g.id method = "set" roles = data.get("roles") try: int(guild) except ValueError: raise ValueError("Guild ID must be integer") try: requeststr = { "jsonrpc": "2.0", "id": 0, "method": "DASHBOARDRPC_BOTSETTINGS__MODROLES", "params": [str(guild), str(userid), method, roles], } with app.lock: return get_result(app, requeststr) except: return jsonify({"status": 0, "message": "Not connected to bot"}) @blueprint.route("/api/<guild>/fetchrules", methods=["GET"]) def fetchrules(guild): if not session.get("id"): return jsonify({"status": 0, "message": "Not logged in"}) if ( end := app.cooldowns["fetchrules"].get( session.get("id"), datetime.datetime.now() - datetime.timedelta(seconds=5) ) ) > datetime.datetime.now(): return jsonify( { "status": 0, "message": _("You are doing that too much. Try again in {wait} seconds").format( wait=(end - datetime.datetime.now()).seconds ), } ) app.cooldowns["fetchrules"][session.get("id")] = datetime.datetime.now() + datetime.timedelta( seconds=5 ) userid = g.id try: int(guild) except ValueError: raise ValueError("Guild ID must be integer") try: requeststr = { "jsonrpc": "2.0", "id": 0, "method": "DASHBOARDRPC_PERMISSIONS__FETCH_GUILD_RULES", "params": [str(guild), str(userid)], } with app.lock: return get_result(app, requeststr) except: return jsonify({"status": 0, "message": "Not connected to bot"}) @blueprint.route("/api/<guild>/fetchtargets", methods=["GET"]) def fetchtargets(guild): if not session.get("id"): return jsonify({"status": 0, "message": "Not logged in"}) if ( end := app.cooldowns["fetchtargets"].get( session.get("id"), datetime.datetime.now() - datetime.timedelta(seconds=10) ) ) > datetime.datetime.now(): return jsonify( { "status": 0, "message": _("You are doing that too much. Try again in {wait} seconds").format( wait=(end - datetime.datetime.now()).seconds ), } ) app.cooldowns["fetchtargets"][ session.get("id") ] = datetime.datetime.now() + datetime.timedelta(seconds=10) userid = g.id try: int(guild) except ValueError: raise ValueError("Guild ID must be integer") try: requeststr = { "jsonrpc": "2.0", "id": 0, "method": "DASHBOARDRPC_PERMISSIONS__FETCH_GUILD_TARGETS", "params": [str(guild), str(userid)], } with app.lock: return get_result(app, requeststr) except: return jsonify({"status": 0, "message": "Not connected to bot"}) @blueprint.route("/api/<guild>/fetchcogcommands", methods=["GET"]) def fetchcogcommands(guild): if not session.get("id"): return jsonify({"status": 0, "message": "Not logged in"}) if ( end := app.cooldowns["fetchcogcommands"].get( session.get("id"), datetime.datetime.now() - datetime.timedelta(seconds=5) ) ) > datetime.datetime.now(): return jsonify( { "status": 0, "message": _("You are doing that too much. Try again in {wait} seconds").format( wait=(end - datetime.datetime.now()).seconds ), } ) app.cooldowns["fetchcogcommands"][ session.get("id") ] = datetime.datetime.now() + datetime.timedelta(seconds=5) userid = g.id try: int(guild) except ValueError: raise ValueError("Guild ID must be integer") try: requeststr = { "jsonrpc": "2.0", "id": 0, "method": "DASHBOARDRPC_PERMISSIONS__FETCH_COG_COMMANDS", "params": [str(guild), str(userid)], } with app.lock: return get_result(app, requeststr) except: return jsonify({"status": 0, "message": "Not connected to bot"}) @blueprint.route("/api/<guild>/addrule", methods=["POST"]) def addrule(guild): if not session.get("id"): return jsonify({"status": 0, "message": "Not logged in"}) if ( end := app.cooldowns["addrule"].get( session.get("id"), datetime.datetime.now() - datetime.timedelta(seconds=5) ) ) > datetime.datetime.now(): return jsonify( { "status": 0, "message": _("You are doing that too much. Try again in {wait} seconds").format( wait=(end - datetime.datetime.now()).seconds ), } ) app.cooldowns["addrule"][session.get("id")] = datetime.datetime.now() + datetime.timedelta( seconds=5 ) data = request.json userid = g.id allow_or_deny = data.get("ad") who_or_what = data.get("ww") cog_or_command = data.get("cc") try: int(guild) except ValueError: raise ValueError("Guild ID must be integer") try: requeststr = { "jsonrpc": "2.0", "id": 0, "method": "DASHBOARDRPC_PERMISSIONS__ADD_RULE", "params": [str(guild), str(userid), allow_or_deny, str(who_or_what), cog_or_command], } with app.lock: return get_result(app, requeststr) except: return jsonify({"status": 0, "message": "Not connected to bot"}) @blueprint.route("/api/<guild>/adddefaultrule", methods=["POST"]) def adddefaultrule(guild): if not session.get("id"): return jsonify({"status": 0, "message": "Not logged in"}) if ( end := app.cooldowns["adddefaultrule"].get( session.get("id"), datetime.datetime.now() - datetime.timedelta(seconds=5) ) ) > datetime.datetime.now(): return jsonify( { "status": 0, "message": _("You are doing that too much. Try again in {wait} seconds").format( wait=(end - datetime.datetime.now()).seconds ), } ) app.cooldowns["adddefaultrule"][ session.get("id") ] = datetime.datetime.now() + datetime.timedelta(seconds=5) data = request.json userid = g.id allow_or_deny = data.get("ad") cog_or_command = data.get("cc") try: int(guild) except ValueError: raise ValueError("Guild ID must be integer") try: requeststr = { "jsonrpc": "2.0", "id": 0, "method": "DASHBOARDRPC_PERMISSIONS__ADD_DEFAULT_RULE", "params": [str(guild), str(userid), allow_or_deny, cog_or_command], } with app.lock: return get_result(app, requeststr) except: return jsonify({"status": 0, "message": "Not connected to bot"}) @blueprint.route("/api/<guild>/removerule", methods=["POST"]) def removerule(guild): if not session.get("id"): return jsonify({"status": 0, "message": "Not logged in"}) if ( end := app.cooldowns["removerule"].get( session.get("id"), datetime.datetime.now() - datetime.timedelta(seconds=5) ) ) > datetime.datetime.now(): return jsonify( { "status": 0, "message": _("You are doing that too much. Try again in {wait} seconds").format( wait=(end - datetime.datetime.now()).seconds ), } ) app.cooldowns["removerule"][session.get("id")] = datetime.datetime.now() + datetime.timedelta( seconds=5 ) data = request.json userid = g.id who_or_what = data.get("ww") cog_or_command = data.get("cc") try: int(guild) except ValueError: raise ValueError("Guild ID must be integer") try: requeststr = { "jsonrpc": "2.0", "id": 0, "method": "DASHBOARDRPC_PERMISSIONS__REMOVE_RULE", "params": [str(guild), str(userid), str(who_or_what), cog_or_command], } with app.lock: return get_result(app, requeststr) except: return jsonify({"status": 0, "message": "Not connected to bot"}) @blueprint.route("/api/<guild>/removedefaultrule", methods=["POST"]) def removedefaultrule(guild): if not session.get("id"): return jsonify({"status": 0, "message": "Not logged in"}) if ( end := app.cooldowns["removedefaultrule"].get( session.get("id"), datetime.datetime.now() - datetime.timedelta(seconds=5) ) ) > datetime.datetime.now(): return jsonify( { "status": 0, "message": _("You are doing that too much. Try again in {wait} seconds").format( wait=(end - datetime.datetime.now()).seconds ), } ) app.cooldowns["removedefaultrule"][ session.get("id") ] = datetime.datetime.now() + datetime.timedelta(seconds=5) data = request.json userid = g.id cog_or_command = data.get("cc") try: int(guild) except ValueError: raise ValueError("Guild ID must be integer") try: requeststr = { "jsonrpc": "2.0", "id": 0, "method": "DASHBOARDRPC_PERMISSIONS__REMOVE_DEFAULT_RULE", "params": [str(guild), str(userid), cog_or_command], } with app.lock: return get_result(app, requeststr) except: return jsonify({"status": 0, "message": "Not connected to bot"}) @blueprint.route("/api/<guild>/fetchaliases", methods=["GET"]) def fetchaliases(guild): if not session.get("id"): return jsonify({"status": 0, "message": "Not logged in"}) if ( end := app.cooldowns["fetchaliases"].get( session.get("id"), datetime.datetime.now() - datetime.timedelta(seconds=5) ) ) > datetime.datetime.now(): return jsonify( { "status": 0, "message": _("You are doing that too much. Try again in {wait} seconds").format( wait=(end - datetime.datetime.now()).seconds ), } ) app.cooldowns["fetchaliases"][ session.get("id") ] = datetime.datetime.now() + datetime.timedelta(seconds=5) userid = g.id try: int(guild) except ValueError: raise ValueError("Guild ID must be integer") try: requeststr = { "jsonrpc": "2.0", "id": 0, "method": "DASHBOARDRPC_ALIASCC__FETCH_ALIASES", "params": [str(guild), str(userid)], } with app.lock: return get_result(app, requeststr) except: return jsonify({"status": 0, "message": "Not connected to bot"}) # --------------------------------------- API --------------------------------------- # -------------------------------------- Routes ------------------------------------- @blueprint.route("/index") @blueprint.route("/") def index(): return render_template("index.html") @blueprint.route("/commands") def commands(): data = app.commanddata prefix = app.variables.get("prefix", ["[p]"]) return render_template( "commands.html", cogs=[k["name"] for k in data], data=data, prefixes=prefix ) @blueprint.route("/credits") def credits(): return render_template("credits.html") @blueprint.route("/dashboard") def dashboard(): if not session.get("id"): return redirect(url_for("base_blueprint.login")) return render_template("dashboard.html") @blueprint.route("/guild/<guild>") def guild(guild): if not session.get("id"): return redirect(url_for("base_blueprint.login")) try: int(guild) except ValueError: raise ValueError("Guild ID must be integer") # We won't disconnect the websocket here, even if it fails, so that the main updating thread doesnt run into issues try: request = { "jsonrpc": "2.0", "id": random.randint(1, 1000), "method": "DASHBOARDRPC__GET_SERVER", "params": [int(g.id), int(guild)], } with app.lock: app.ws.send(json.dumps(request)) result = json.loads(app.ws.recv()) data = {} if "error" in result: if result["error"]["message"] == "Method not found": data = {"status": 0, "message": "Not connected to bot"} else: dashlog.error(result["error"]) data = {"status": 0, "message": "Something went wrong"} if isinstance(result["result"], dict) and result["result"].get("disconnected", False): data = {"status": 0, "message": "Not connected to bot"} if not data: data = {"status": 1, "data": result["result"]} except: data = {"status": 0, "message": "Not connected to bot"} return render_template("guild.html", data=data)

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0

6

02c54a0e5617abc0a344f5b93456ed8dc3e400e8

134

py

Python

mord/__init__.py

david-macleod/mord

8236d546d92f807cc5c5ec46ed7355311914060f

[ "BSD-3-Clause" ]

237

2015-06-19T04:30:13.000Z

2022-03-10T15:37:47.000Z

mord/__init__.py

Moyookc/mord

ef578a79bf8374d84b77f246454b06d81a620630

[ "BSD-3-Clause" ]

24

2015-12-09T17:22:22.000Z

2021-04-02T16:45:52.000Z

mord/__init__.py

Moyookc/mord

ef578a79bf8374d84b77f246454b06d81a620630

[ "BSD-3-Clause" ]

67

2015-06-26T05:15:59.000Z

2022-03-09T09:32:03.000Z

from .threshold_based import * from .regression_based import * from . import utils from . import threshold_based __version__ = '0.6'

19.142857

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b83eb35196a56d2a2259982d1e9f461da617b0cd

3,812

py

Python

python/example_code/s3/s3_versioning/test/test_remove_delete_marker.py

gabehollombe-aws/aws-doc-sdk-examples

dfc0e06ebe1762ab127f3ef5f425507644c6a99c

[ "Apache-2.0" ]

5,166

2016-09-02T08:48:38.000Z

2022-03-31T19:12:43.000Z

python/example_code/s3/s3_versioning/test/test_remove_delete_marker.py

gabehollombe-aws/aws-doc-sdk-examples

dfc0e06ebe1762ab127f3ef5f425507644c6a99c

[ "Apache-2.0" ]

1,186

2016-09-28T23:05:19.000Z

2022-03-31T18:07:47.000Z

python/example_code/s3/s3_versioning/test/test_remove_delete_marker.py

gabehollombe-aws/aws-doc-sdk-examples

dfc0e06ebe1762ab127f3ef5f425507644c6a99c

[ "Apache-2.0" ]

4,003

2016-08-29T19:51:40.000Z

2022-03-31T16:40:02.000Z

# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. # SPDX-License-Identifier: Apache-2.0 """ Unit tests for remove_delete_marker.py functions. """ import json from urllib import parse import pytest import remove_delete_marker def test_remove_delete_marker(make_stubber, make_unique_name, make_event, make_result): s3_stubber = make_stubber(remove_delete_marker.s3) bucket_name = make_unique_name('bucket') # include a space in the object key to verify url-encoding/decoding obj_key = make_unique_name('prefix object') version_id = 'test-version-id' event = make_event(bucket_name, parse.quote(obj_key), version_id=version_id) s3_stubber.stub_head_object( bucket_name, obj_key, obj_version_id=version_id, error_code='405', response_meta={'HTTPHeaders': {'x-amz-delete-marker': 'true'}} ) s3_stubber.stub_delete_object(bucket_name, obj_key, obj_version_id=version_id) result = remove_delete_marker.lambda_handler(event, None) assert result == make_result('Succeeded') for res in result['results']: # S3 processor serializes to JSON. Make sure it works. json.dumps(res['resultString']) def test_remove_delete_marker_not_deleted( make_stubber, make_unique_name, make_event, make_result): s3_stubber = make_stubber(remove_delete_marker.s3) bucket_name = make_unique_name('bucket') obj_key = make_unique_name('object') version_id = 'test-version-id' event = make_event(bucket_name, obj_key, version_id=version_id) s3_stubber.stub_head_object(bucket_name, obj_key, obj_version_id=version_id) result = remove_delete_marker.lambda_handler(event, None) assert result == make_result('PermanentFailure') for res in result['results']: # S3 processor serializes to JSON. Make sure it works. json.dumps(res['resultString']) def test_remove_delete_marker_no_delete_marker( make_stubber, make_unique_name, make_event, make_result): s3_stubber = make_stubber(remove_delete_marker.s3) bucket_name = make_unique_name('bucket') obj_key = make_unique_name('object') version_id = 'test-version-id' event = make_event(bucket_name, obj_key, version_id=version_id) s3_stubber.stub_head_object( bucket_name, obj_key, obj_version_id=version_id, error_code='405', response_meta={'HTTPHeaders': {'some-other-header': 'nonsense'}} ) result = remove_delete_marker.lambda_handler(event, None) assert result == make_result('PermanentFailure') for res in result['results']: # S3 processor serializes to JSON. Make sure it works. json.dumps(res['resultString']) @pytest.mark.parametrize('error_code', ['TestException', 'RequestTimeout']) def test_remove_delete_marker_delete_fails( make_stubber, make_unique_name, make_event, make_result, error_code): s3_stubber = make_stubber(remove_delete_marker.s3) bucket_name = make_unique_name('bucket') obj_key = make_unique_name('object') version_id = 'test-version-id' event = make_event(bucket_name, obj_key, version_id=version_id) s3_stubber.stub_head_object( bucket_name, obj_key, obj_version_id=version_id, error_code='405', response_meta={'HTTPHeaders': {'x-amz-delete-marker': 'true'}} ) s3_stubber.stub_delete_object(bucket_name, obj_key, obj_version_id=version_id, error_code=error_code) result = remove_delete_marker.lambda_handler(event, None) if error_code == 'RequestTimeout': assert result == make_result('TemporaryFailure') else: assert result == make_result('PermanentFailure') for res in result['results']: # S3 processor serializes to JSON. Make sure it works. json.dumps(res['resultString'])

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6

b88a55fbbf69b69d325fa033465f90738c224424

4,421

py

Python

main.py

kyomukyomupurin/AtCoder_base64

1c34649d060b2e58f270095ef178d3365b2b8f1d

[ "CC0-1.0" ]

2

2020-10-03T14:50:53.000Z

2021-01-16T11:11:13.000Z

main.py

kyomukyomupurin/AtCoder_base64

1c34649d060b2e58f270095ef178d3365b2b8f1d

[ "CC0-1.0" ]

null

main.py

kyomukyomupurin/AtCoder_base64

1c34649d060b2e58f270095ef178d3365b2b8f1d

[ "CC0-1.0" ]

null

# This code is generated by [Atcoder_base64](https://github.com/kyomukyomupurin/AtCoder_base64) from base64 import b85decode import subprocess from pathlib import Path from zlib import decompress binary = "c%0=~Z){uD6~DIg$7xf?EiD9ERs&&bS7PF}DJfls?ZoXfIB96o(v?4#7u$)w`A=p)mxLi^skEwB(nV7@`hiJB>;pr5fN4VefV!Xz#-wcuQ>P)pq>fQ7>Bh)3sImd^&VBEm=l8DPqZ`_{-N-rb{N6d|-h1xfbKbWivAs@*gJ5xyuMoyP+@kS8j-T78ivZR`THybUWD{uuzQG_T(q)I4y7hWAy&k8=i*yq)Q-^^z68lnaHB&--x*lt5YK?}b*7!{HIbQFQ%dF?*dS$Lx=JH4h*F%c^Yv8{Tj*GOPm}vv2Lzk2Ud;V~h#)~vY%oO$R1-&NnpBFEu2Y7vUemTqAixkJ<_Dp(o*UsBBiOx(qSDNgc?Ag`1Yp1`M_itC*<mIya1`n$8%&q7u_I^Fb*!!i(*iFwXr(dqV``Wh19Vh2MKKc9!ChH-!aU-M)o*Pt*mBR7Z#tmm%`|SF64u0z_@E91p*#iHyjr?5>Yy52+`4?>PlQ#G@Hug6YoPp+Yzm2@tMt+YCK4H@yHd;4>mxuU#!{x9I>Rn6PNzkiV^WsE+c~Ddm@on4K*zY2gj%V{ZT2$nMLMfrqkpY@W7Lw!XqLM6(4D@C4x#WmEnn`N!tlu0Nyk}VHjw@3W$!I*%lgQIY(urg)5@)Z5m7a9INJr&ja%VJ`R{8^xqks=9fnAg;sY3n{c$c7Yxu_gf<?}lxN{XgyG#l7K2Q<4h4Q3)-xO*&9DyF!}Ofd>}1M!qxph`hbD@9O@8~|(w)Sr&id{HSR<!m%QLL<Z7bm$(-CiY<ycgFK2h50Ow?ut*!R92FcX@xUm>71NNKMG!;Opd!UE2nd0Uo0B#quc%4{oUI0;lp%?f2ThXFtUWLG#CFhz|X0VqZ8JUwhA5a*X^jyo6-&G7ABSD<LXdlYx{(}{FIZe+$pZ3Z2hjA**nSQalgR*FUaT5gn)PPb7fM%372<!%{cP&Z5nMNwS9z@w+wiT0l#R#R~hgH1HRgTFB$Mw1HNp)*BEeI2kb0rGvH^rd^4%-m8_gI;4TCHoB?kz;4d0*<9YW}18&^!XAO9>0e{1QyA8N>?5}R=RO6*)ACZpFD$eS>bnNHuIa2K|093tIf&XorgYd-o6jNEeScP)y*BH;bwm7fyql{-mvN)^qM;On#xcH*VA7DJ|+TuBtznk%_ON%oqA7(u3%3@jN?*x8q2HP1Lk*2%%fO%=UcLv@ZWDQ^VJ_t&c*Q8TKIu%@qo%&(p637l5e@{6aDnHiILlj@A?Yz>_CsjUJ*sTixVj;vRbTTmeVCaFlSmn<P6p-kthK}=WhDg&J*k%s~yQJOo%4;eJQq}pk^Gknuc_9qKV>7DXrhBh-`^Z9&89dedQWN+P?1F)p+2eHgGBkAY-4!Muct2Ws^C7A7u5|3ZrJ<47bmI|L$@H2(sa5uFVtw9l2=qQ|+uW~0Q>u~10wcSZl?^aV{w8ghTB;Y@HkX-S<~RlUs8(s1k*zCIWl4JVZ+A(rF1sYh>(ZMm%6c%+$PKuw7su3kP`}(8g~pQ7?cmtn^NsK*RW2#5(5=hBEM%b*3n^&g>y0;ooa4bcq5j2hGPn5KHb0>b*Gy$;uEw=(CZYR6hoY6=hYp6I@3&rYvJsr_Tmd>9s(c!)T#0SHr26#LPhAV+pMpb=zpwZLZ=;D=<zKPNmHx^Hq3Zf~q+@dqY4;yWmzlfohfxeY7<wo~=VoeE{$q~MZFM$l`<Rr>Wb(K9?#mZ4iJKU<(X~h7>tPdAc?RgyKwkm+0?-AZUxtpahmpzvO#uG@bn^nx4A9#Ee+Q`I(C#s;I37Jf9Ftzh#@1%{jHB7haP{sA`r8ca&RU+34lZB*q*_%S>+$aOwBOyf`Vn`T+;zjAFYV~K8THwn@hy-uu4lF<Kfv^%KHOin5bd0Q1!PY%Anfrz>D=#WKjG^4_#R*7Y47uR!yb2NwPyEe`1zp!ekR-R@!scgt9AVZem!6}$!&bc8TPcFc11kC>4vap%ae_gr|U$M<moxqJm3iyJUt;#SIDy^?D2tISgk^B-zV^U80;AL@Bf#A=OLbdcqkd;8YAuI4|o<W^GzMkpbK38dd}ndi(wj`+c$8E=PkxlICnl;spc8Q`#qjDL4FwF88hoNHJhB_?ZY#)ozo4(TyQRy`8kAR{~V{d9`MY%j?<xLGcGlm+wJD{qdT$wFA%fb$5pL=4i2qwewlZ)%6V+p66Y`Q_y6R)@ofHI7Cnv>$`^SDc5%9w(?gt&ae9=~6UNQpa}>O1?d$8i)3@c|Xep<Ze1R_i4u4l?pro>a#{)h7uAPquw(=KOv*`k__gE};b}t>V#9c(O#2fVaX~rA%d1=O*^!aPXoAq%u<8FOEnDG{U-kI@L`usHGtMzqi##@QkVtib%nrAF=4>@Ovx9RKNjC;vNOMI=KH!$PtNN}|kevQ75nDO=c{$a*9Sk7M;xmI8AW*k<x*9x!2m1g|<I*cv*2J-i+h_ijb34X)<)z9%8Rh@Qn?^>U(&&q8!cJAPIW?IbnZjR3ic#Pvj@bf6IcSxu=r#{#F^LyM*P_XliDqlY?cI}^4<=2tNTE#ck^1o64*Uytbs&?wf_p<u`n!5IX%yF@u9tX2iKOZ`5@)*5pe0d%53iIJfCyP_-=TE<ym#EEuT=v5@c^-C7tTU{y(;Uw;JI?F$eGtoIHtk$-GQ560KIO2^pZwUy&WuxQ59V9(uJ|h(`QNJY_4~|Pr`CSaZ#O!v?F`!BMW=P1=i5$gTtxq0VKN|pc&!<K%BkUEd!Dta_YL#|_gj+VZ#k{=S08fuc`mQ#7G2i%Z*f`M*=~c!Z0r!0i1Ekcgzk&&4~Jru7E7Zvs^w=`h9}lTX*$mmN+e!Tib`p0%pWJU6c|;qG|p08MM7yJPscO)Q8_~sO1@B}a%qyp^Vx|^Qb{J@fVGrh8KN|m3k7+KCUZ(*ii{QHY?3BQ+3Xak7&tYtWfG-y?}5-jghmGYS$dA{8$3uO5(lOJ1BCW}bucs#?SpqF<%Ahfvr@Vf_V3+092ub_p>QlhjXAeq(3qH_$%L%Pghuy+ej=TtrD8H6q`kNX&vJnSig}una|taiSWC|dmOmq7Xh^XM#y?+zPpFxW4D_KpuaaOiX|k-HP1aKE8_yex6*FhzK+w@*5udH|kD|7kT#Oe>YTG_LQCpK`Q?EWTDUMlv3fL~qYn972H<b8`Q&~kG1*#M@n!=}a4oprEe=e^i{h@HQQ<29xH=Zl`M@#8UqBET!DwmRrDdJB|<-ndsm4f!>XtGdD=W`~8!n;B;BQrt%G?7tQmEbJ)=pWC+1I#M;uX@E_$g8v4pG@&3m`W6CoTjR+9!&$Ep$0jdj>Chh4g*R2unA;g!CGxV|6O76Alt%mf3*9~hQ%T9w-7A`Lw)f(mQRouuiXJbAMf`_JFcS7@())a219-Ed(;+=<Mmy<HV+alMn!#$7m${DhuJmXVbI5T@(?k9yTZ5v=^4RcqW>NuT8xSM7=Ix33GEj?Cz7udEoMa?;}oPrq}F~Xsqg=zMDr=?V?3kB(++d}V*j7u`eDvv+=CS3c&2}?g+9Aq)xP1?@)$@l-p3-2e?`#8I0|W5koOAojG&M47E;k)Zh`(l(8qft((OY0={2+DSwSD~i%5lVqOSixBIfmr_gtjn9YxfCNzk|Zo@}T8GeIBYMx6>1Ui9ZLiS`{A@4>b2%Nj5GOZ5Nmi1vL2^)c?4Tw`6IsL$e<CWC(M`#lGE$C?B^Y}Z+$^<T_mmH9`X@>S};Ea>a^XRo;)Q6I|^$53CtmvhB-!T&))|07<%n5;qlP64;dM_T1;gIs@!J8mPlC9eM#L)(p|i!c0d2rtF`bFGd3Gd!`mBH*I_zX5t8jN<" Path("077b5b43ed6ae0f2ad2b26d4f6fb1be45713b723ae814448a294f8d77118b1e9.bin").write_bytes(decompress(b85decode(binary))) Path("077b5b43ed6ae0f2ad2b26d4f6fb1be45713b723ae814448a294f8d77118b1e9.bin").chmod(0o755) subprocess.run("./077b5b43ed6ae0f2ad2b26d4f6fb1be45713b723ae814448a294f8d77118b1e9.bin") # Original source code: """ #include <iostream> using namespace std; int main() { cout << "Hello, World!" << endl; return 0; } """

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6

b89c9339ea7447031b3f1c213a1fae7d10ebdba7

721

py

Python

mihaelanistor/kernels/get_kernels.py

s-shailja/challenge-iclr-2021

28ad9d126597166bc41715f77c8cf366b8fba975

[ "MIT" ]

39

2021-03-12T07:30:14.000Z

2022-03-24T06:37:02.000Z

mihaelanistor/kernels/get_kernels.py

s-shailja/challenge-iclr-2021

28ad9d126597166bc41715f77c8cf366b8fba975

[ "MIT" ]

34

2021-03-09T03:19:55.000Z

2021-09-07T18:30:59.000Z

mihaelanistor/kernels/get_kernels.py

s-shailja/challenge-iclr-2021

28ad9d126597166bc41715f77c8cf366b8fba975

[ "MIT" ]

29

2021-03-13T21:21:14.000Z

2022-02-02T05:52:44.000Z

from kernels.extended_projection_kernels import GrassmannianRBFKernel, GrassmannianProjectionKernel from kernels.extended_projection_kernels import LinearProjectionKernel, AffineProjectionKernel from kernels.extended_projection_kernels import LinearScaledProjectionKernel, AffineScaledProjectionKernel from kernels.extended_projection_kernels import LinearSpherizedProjectionKernel, AffineSpherisedProjectionKernel def get_callable_kernels(): return [GrassmannianRBFKernel, GrassmannianProjectionKernel, LinearProjectionKernel, AffineProjectionKernel, LinearScaledProjectionKernel, AffineScaledProjectionKernel, LinearSpherizedProjectionKernel, AffineSpherisedProjectionKernel]

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0

1

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null

0

1

0

1

0

6

b2123ab992fa0e69c2bb3cf5943ef0d0f0cd03ec

164

py

Python

channels_presence/channels.py

Uncensored-Developer/django-channels-presence

92dfa4b308d5525a5a3f18c835fabd3cf1a288d1

[ "MIT" ]

1

2019-10-30T08:41:19.000Z

channels_presence/channels.py

Uncensored-Developer/django-channels-presence

92dfa4b308d5525a5a3f18c835fabd3cf1a288d1

[ "MIT" ]

null

channels_presence/channels.py

Uncensored-Developer/django-channels-presence

92dfa4b308d5525a5a3f18c835fabd3cf1a288d1

[ "MIT" ]

2

2019-04-23T05:00:47.000Z

2020-03-08T17:14:08.000Z

from __future__ import unicode_literals from channels_presence.decorators import remove_presence @remove_presence def ws_disconnect(message, **kwargs): pass

18.222222

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1

0

6

b2450c5ce83712400647d8e058380736638b1c1c

14,890

py

Python

tests/blueprints/test_cherrypicked_plates.py

BenTopping/lighthouse

649b442ca89f7deb7c01411faa883c1894b72986

[ "MIT" ]

null

tests/blueprints/test_cherrypicked_plates.py

BenTopping/lighthouse

649b442ca89f7deb7c01411faa883c1894b72986

[ "MIT" ]

null

tests/blueprints/test_cherrypicked_plates.py

BenTopping/lighthouse

649b442ca89f7deb7c01411faa883c1894b72986

[ "MIT" ]

null

from http import HTTPStatus from unittest.mock import patch import responses from lighthouse.constants.error_messages import ( ERROR_SAMPLE_DATA_MISMATCH, ERROR_SAMPLE_DATA_MISSING, ERROR_SAMPLES_MISSING_UUIDS, ERROR_UNEXPECTED_CHERRYPICKING_FAILURE, ERROR_UPDATE_MLWH_WITH_COG_UK_IDS, ) from lighthouse.messages.message import Message # ---------- cherrypicked-plates/create tests ---------- def test_get_cherrypicked_plates_endpoint_successful( app, client, dart_samples, samples, mocked_responses, mlwh_lh_samples, source_plates, ): with patch( "lighthouse.blueprints.cherrypicked_plates.add_cog_barcodes_from_different_centres", return_value="TC1", ): ss_url = f"http://{app.config['SS_HOST']}/api/v2/heron/plates" mocked_responses.add( responses.POST, ss_url, json={"barcode": "des_plate_1"}, status=HTTPStatus.OK, ) response = client.get( "/cherrypicked-plates/create?barcode=des_plate_1&robot=BKRB0001&user_id=test", content_type="application/json", ) assert response.status_code == HTTPStatus.OK assert response.json == {"data": {"plate_barcode": "des_plate_1", "centre": "TC1", "number_of_fit_to_pick": 5}} def test_get_cherrypicked_plates_endpoint_no_barcode_in_request(app, client, samples): response = client.get("/cherrypicked-plates/create?user_id=test&robot=BKRB0001", content_type="application/json") assert response.status_code == HTTPStatus.BAD_REQUEST assert response.json == {"errors": ["GET request needs 'barcode' in URL"]} def test_get_cherrypicked_plates_endpoint_no_robot_number_in_request(app, client, samples): response = client.get( "/cherrypicked-plates/create?barcode=plate_1&user_id=test", content_type="application/json", ) assert response.status_code == HTTPStatus.BAD_REQUEST assert response.json == {"errors": ["GET request needs 'robot' in URL"]} def test_get_cherrypicked_plates_endpoint_no_user_id_in_request(app, client, samples): response = client.get( "/cherrypicked-plates/create?barcode=plate_1&robot=1234", content_type="application/json", ) assert response.status_code == HTTPStatus.BAD_REQUEST assert response.json == {"errors": ["GET request needs 'user_id' in URL"]} def test_get_cherrypicked_plates_endpoint_add_cog_barcodes_failed( app, client, dart_samples, samples, centres, mocked_responses ): baracoda_url = f"http://{app.config['BARACODA_URL']}/barcodes_group/TC1/new?count=5" mocked_responses.add( responses.POST, baracoda_url, status=HTTPStatus.BAD_REQUEST, ) barcode = "des_plate_1" response = client.get( f"/cherrypicked-plates/create?barcode={barcode}&robot=BKRB0001&user_id=test", content_type="application/json", ) assert response.status_code == HTTPStatus.BAD_REQUEST assert response.json == {"errors": [f"Failed to add COG barcodes to plate: {barcode}"]} def test_get_cherrypicked_plates_endpoint_ss_failure( app, client, dart_samples, samples, mocked_responses, source_plates ): with patch( "lighthouse.blueprints.cherrypicked_plates.add_cog_barcodes_from_different_centres", return_value="TC1", ): ss_url = f"http://{app.config['SS_HOST']}/api/v2/heron/plates" barcode = "des_plate_1" body = {"errors": [f"The barcode '{barcode}' is not a recognised format."]} mocked_responses.add( responses.POST, ss_url, json=body, status=HTTPStatus.UNPROCESSABLE_ENTITY, ) response = client.get( f"/cherrypicked-plates/create?barcode={barcode}&robot=BKRB0001&user_id=test", content_type="application/json", ) assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY assert response.json == {"errors": [f"The barcode '{barcode}' is not a recognised format."]} def test_get_cherrypicked_plates_mlwh_update_failure( app, client, dart_samples, samples, mocked_responses, source_plates ): with patch( "lighthouse.blueprints.cherrypicked_plates.add_cog_barcodes_from_different_centres", return_value="TC1", ): with patch( "lighthouse.blueprints.cherrypicked_plates.update_mlwh_with_cog_uk_ids", side_effect=Exception(), ): ss_url = f"http://{app.config['SS_HOST']}/api/v2/heron/plates" body = {"barcode": "plate_1"} mocked_responses.add( responses.POST, ss_url, json=body, status=HTTPStatus.OK, ) response = client.get( "/cherrypicked-plates/create?barcode=des_plate_1&robot=BKRB0001&user_id=test", content_type="application/json", ) assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR assert response.json == { "errors": [ ( "Failed to update MLWH with COG UK ids. The samples should have been " "successfully inserted into Sequencescape." ) ] } assert response.json == {"errors": [ERROR_UPDATE_MLWH_WITH_COG_UK_IDS]} def test_post_plates_endpoint_mismatched_sample_numbers(app, client, dart_samples, samples): with patch( "lighthouse.blueprints.cherrypicked_plates.add_cog_barcodes_from_different_centres", return_value="TC1", ): with patch( "lighthouse.blueprints.cherrypicked_plates.check_matching_sample_numbers", return_value=False, ): barcode = "des_plate_1" response = client.get( f"/cherrypicked-plates/create?barcode={barcode}&robot=BKRB0001&user_id=test", content_type="application/json", ) assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR assert response.json == {"errors": [f"{ERROR_SAMPLE_DATA_MISMATCH} {barcode}"]} def test_post_cherrypicked_plates_endpoint_missing_dart_data(app, client): with patch("lighthouse.blueprints.cherrypicked_plates.find_dart_source_samples_rows", return_value=[]): barcode = "des_plate_1" response = client.get( f"/cherrypicked-plates/create?barcode={barcode}&robot=BKRB0001&user_id=test", content_type="application/json", ) assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR assert response.json == {"errors": [f"{ERROR_SAMPLE_DATA_MISSING} {barcode}"]} def test_post_cherrypicked_plates_endpoint_missing_source_plate_uuids(app, client, dart_samples, samples): with patch( "lighthouse.blueprints.cherrypicked_plates.add_cog_barcodes_from_different_centres", return_value="TC1", ): with patch( "lighthouse.blueprints.cherrypicked_plates.get_source_plates_for_samples", return_value=[], ): barcode = "des_plate_1" response = client.get( f"/cherrypicked-plates/create?barcode={barcode}&robot=BKRB0001&user_id=test", content_type="application/json", ) assert response.status_code == HTTPStatus.BAD_REQUEST assert response.json == {"errors": [f"{ERROR_SAMPLES_MISSING_UUIDS} {barcode}"]} # ---------- cherrypicked-plates/fail tests ---------- def test_fail_plate_from_barcode_bad_request_no_barcode(client): response = client.get("/cherrypicked-plates/fail?user_id=test_user&robot=BKRB0001&failure_type=robot_crashed") assert response.status_code == HTTPStatus.BAD_REQUEST assert len(response.json["errors"]) == 1 response = client.get( "/cherrypicked-plates/fail?user_id=test_user&robot=BKRB0001" "&failure_type=robot_crashed&barcode=" ) assert response.status_code == HTTPStatus.BAD_REQUEST assert len(response.json["errors"]) == 1 def test_fail_plate_from_barcode_bad_request_no_user_id(client): response = client.get("/cherrypicked-plates/fail?barcode=ABC123&robot=BKRB0001&failure_type=robot_crashed") assert response.status_code == HTTPStatus.BAD_REQUEST assert len(response.json["errors"]) == 1 response = client.get( "/cherrypicked-plates/fail?barcode=ABC123&robot=BKRB0001" "&failure_type=robot_crashed&user_id=" ) assert response.status_code == HTTPStatus.BAD_REQUEST assert len(response.json["errors"]) == 1 def test_fail_plate_from_barcode_bad_request_no_robot(client): response = client.get("/cherrypicked-plates/fail?barcode=ABC123&user_id=test_user&failure_type=robot_crashed") assert response.status_code == HTTPStatus.BAD_REQUEST assert len(response.json["errors"]) == 1 response = client.get( "/cherrypicked-plates/fail?barcode=ABC123&user_id=test_user" "&failure_type=robot_crashed&robot=" ) assert response.status_code == HTTPStatus.BAD_REQUEST assert len(response.json["errors"]) == 1 def test_fail_plate_from_barcode_bad_request_no_failure_type(client): response = client.get("/cherrypicked-plates/fail?barcode=ABC123&user_id=test_user&robot=BKRB0001") assert response.status_code == HTTPStatus.BAD_REQUEST assert len(response.json["errors"]) == 1 response = client.get("/cherrypicked-plates/fail?barcode=ABC123&user_id=test_user&robot=BKRB0001&failure_type=") assert response.status_code == HTTPStatus.BAD_REQUEST assert len(response.json["errors"]) == 1 def test_fail_plate_from_barcode_bad_request_unrecognised_failure_type(app, client): with app.app_context(): failure_type = "notAFailureType" response = client.get( "/cherrypicked-plates/fail?barcode=ABC123&user_id=test_user" f"&robot=BKRB0001&failure_type={failure_type}" ) assert response.status_code == HTTPStatus.BAD_REQUEST assert f"'{failure_type}' is not a known cherrypicked plate failure type" in response.json["errors"] def test_fail_plate_from_barcode_internal_server_error_constructing_message_failure(app, client): with app.app_context(): with patch( "lighthouse.blueprints.cherrypicked_plates.construct_cherrypicking_plate_failed_message", side_effect=Exception(), ): response = client.get( "/cherrypicked-plates/fail?barcode=ABC123&user_id=test_user" "&robot=BKRB0001&failure_type=robot_crashed" ) assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR assert ERROR_UNEXPECTED_CHERRYPICKING_FAILURE in response.json["errors"][0] def test_fail_plate_from_barcode_internal_server_error_constructing_message_none(app, client): with app.app_context(): test_error = "this is a test error" with patch( "lighthouse.blueprints.cherrypicked_plates.construct_cherrypicking_plate_failed_message", return_value=([test_error], None), ): response = client.get( "/cherrypicked-plates/fail?barcode=ABC123&user_id=test_user&robot=BKRB0001&failure_type=robot_crashed" ) assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR assert test_error in response.json["errors"][0] def test_fail_plate_from_barcode_internal_error_failed_broker_initialise(client): with patch( "lighthouse.blueprints.cherrypicked_plates.construct_cherrypicking_plate_failed_message" ) as mock_construct: with patch("lighthouse.blueprints.cherrypicked_plates.Broker", side_effect=Exception()): mock_construct.return_value = [], Message("test message content") response = client.get( "/cherrypicked-plates/fail?barcode=plate_1&user_id=test_user" "&robot=BKRB0001&failure_type=robot_crashed" ) assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR assert ERROR_UNEXPECTED_CHERRYPICKING_FAILURE in response.json["errors"][0] def test_fail_plate_from_barcode_internal_error_failed_broker_connect(client): with patch( "lighthouse.blueprints.cherrypicked_plates.construct_cherrypicking_plate_failed_message" ) as mock_construct: with patch("lighthouse.blueprints.cherrypicked_plates.Broker.connect", side_effect=Exception()): mock_construct.return_value = [], Message("test message content") response = client.get( "/cherrypicked-plates/fail?barcode=plate_1&user_id=test_user" "&robot=BKRB0001&failure_type=robot_crashed" ) assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR assert ERROR_UNEXPECTED_CHERRYPICKING_FAILURE in response.json["errors"][0] def test_fail_plate_from_barcode_internal_error_failed_broker_publish(client): with patch( "lighthouse.blueprints.cherrypicked_plates.construct_cherrypicking_plate_failed_message" ) as mock_construct: with patch("lighthouse.blueprints.cherrypicked_plates.Broker") as mock_broker: mock_broker().publish.side_effect = Exception() mock_construct.return_value = [], Message("test message content") response = client.get( "/cherrypicked-plates/fail?barcode=plate_1&user_id=test_user" "&robot=BKRB0001&failure_type=robot_crashed" ) assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR assert ERROR_UNEXPECTED_CHERRYPICKING_FAILURE in response.json["errors"][0] def test_fail_plate_from_barcode_success(client): with patch( "lighthouse.blueprints.cherrypicked_plates.construct_cherrypicking_plate_failed_message" ) as mock_construct: routing_key = "test.routing.key" with patch("lighthouse.blueprints.cherrypicked_plates.get_routing_key", return_value=routing_key): with patch("lighthouse.blueprints.cherrypicked_plates.Broker") as mock_broker: test_errors = ["error 1", "error 2"] test_message = Message("test message content") mock_construct.return_value = test_errors, test_message response = client.get( "/cherrypicked-plates/fail?barcode=plate_1&user_id=test_user" "&robot=BKRB0001&failure_type=robot_crashed" ) mock_broker().publish.assert_called_with(test_message, routing_key) mock_broker().close_connection.assert_called() assert response.status_code == HTTPStatus.OK assert response.json["errors"] == test_errors

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1

0

null

0

6

b26827804a7f91593b72a7e371b0367eb7ed8e7b

4,343

py

Python

linguaf/lexical_diversity.py

Perevalov/language_features

bd85ae835162fbf53de4a087bd9cef7d38896ff5

[ "MIT" ]

3

2021-05-10T01:35:50.000Z

2021-09-21T00:47:55.000Z

linguaf/lexical_diversity.py

Perevalov/language_features

bd85ae835162fbf53de4a087bd9cef7d38896ff5

[ "MIT" ]

6

2021-06-01T09:35:59.000Z

2021-06-17T11:53:45.000Z

linguaf/lexical_diversity.py

Perevalov/language_features

bd85ae835162fbf53de4a087bd9cef7d38896ff5

[ "MIT" ]

null

import collections import math from linguaf.descriptive_statistics import get_words, get_lexical_items from linguaf import __check_bool_param, __check_documents_param, __check_lang_param def lexical_density(documents: list, lang: str = 'en', remove_stopwords: bool = False) -> float: """Calculates lexical density based on a list of documents. Lexical density is the ratio between number of lexical items and number of words in total. See Wikipedia article: https://en.wikipedia.org/wiki/Lexical_density Keyword arguments: documents -- the list of textual documents lang -- language of the textual documents remove_stopwords -- boolean flag that shows if the function should exclude stopwords """ __check_documents_param(documents) __check_lang_param(lang) __check_bool_param(remove_stopwords) words = get_words(documents=documents, lang=lang, remove_stopwords=remove_stopwords) lex_items = get_lexical_items(documents=documents, remove_stopwords=remove_stopwords, lang=lang) return len(lex_items)/len(words)*100 def type_token_ratio(documents: list, lang: str = 'en', remove_stopwords: bool = False) -> float: """Calculates Type-Token Ratio based on a list of documents. Types -- are unique words, Tokens (in this context) -- are words in total. See Wikipedia article: https://de.wikipedia.org/wiki/Type-Token-Relation Keyword arguments: documents -- the list of textual documents lang -- language of the textual documents remove_stopwords -- boolean flag that shows if the function should exclude stopwords """ __check_documents_param(documents) __check_lang_param(lang) __check_bool_param(remove_stopwords) words = get_words(documents=documents, lang=lang, remove_stopwords=remove_stopwords) num_unq = len(collections.Counter(words).keys()) return num_unq/len(words) def log_type_token_ratio(documents: list, lang: str = 'en', remove_stopwords: bool = False) -> float: """Calculates Log Type-Token Ratio (Herdan's Constant) based on a list of documents. Types -- are unique words, Tokens (in this context) -- are words in total. Publicaiton: Herdan, 1960, as cited in Tweedie & Baayen, 1998 Keyword arguments: documents -- the list of textual documents lang -- language of the textual documents remove_stopwords -- boolean flag that shows if the function should exclude stopwords """ __check_documents_param(documents) __check_lang_param(lang) __check_bool_param(remove_stopwords) words = get_words(documents=documents, lang=lang, remove_stopwords=remove_stopwords) num_unq = len(collections.Counter(words).keys()) return math.log(num_unq)/math.log(len(words)) if len(words) != 1 else 0 def summer_index(documents: list, lang: str = 'en', remove_stopwords: bool = False) -> float: """Calculates Summer's Index based on a list of documents. The index is the same as Double Log Type-Token Ratio. Keyword arguments: documents -- the list of textual documents lang -- language of the textual documents remove_stopwords -- boolean flag that shows if the function should exclude stopwords """ __check_documents_param(documents) __check_lang_param(lang) __check_bool_param(remove_stopwords) words = get_words(documents=documents, lang=lang, remove_stopwords=remove_stopwords) num_unq = len(collections.Counter(words).keys()) if num_unq == 0: num_unq = 10**-10 return math.log(math.log(num_unq))/math.log(math.log(len(words))) if len(words) != 1 else 0 def root_type_token_ratio(documents: list, lang: str = 'en', remove_stopwords: bool = False) -> float: """Calculates Root Type-Token Ratio based on a list of documents. Publication: Guiraud, 1954. Also cited in Tweedie & Baayen, 1998 Keyword arguments: documents -- the list of textual documents lang -- language of the textual documents remove_stopwords -- boolean flag that shows if the function should exclude stopwords """ __check_documents_param(documents) __check_lang_param(lang) __check_bool_param(remove_stopwords) words = get_words(documents=documents, lang=lang, remove_stopwords=remove_stopwords) num_unq = len(collections.Counter(words).keys()) return num_unq/(len(words)**0.5)

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0

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1

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null

0

6

b27b2f69348b2c45d8c9ea6b23a326199d2a0455

106

py

Python

tests/test_core.py

BroBossa/Api_PogoP

871b22c33f329abd1cf1cfa19b0b78d39b7e4c26

[ "Apache-2.0" ]

null

tests/test_core.py

BroBossa/Api_PogoP

871b22c33f329abd1cf1cfa19b0b78d39b7e4c26

[ "Apache-2.0" ]

null

tests/test_core.py

BroBossa/Api_PogoP

871b22c33f329abd1cf1cfa19b0b78d39b7e4c26

[ "Apache-2.0" ]

null

def test_version(): from hogwarts_apitest import __version__ assert isinstance(__version__, str)

21.2

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106

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null

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1

0

1

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1

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6

a22d5c1d80822ea471ff274c3f610a75af83c190

522

py

Python

3rdparty/huawei-lte-api/huawei_lte_api/api/SNtp.py

tux1c0/plugin-huawei4g

af83ce6321db23fcfd51eb204e00c287d3ea2325

[ "MIT" ]

null

3rdparty/huawei-lte-api/huawei_lte_api/api/SNtp.py

tux1c0/plugin-huawei4g

af83ce6321db23fcfd51eb204e00c287d3ea2325

[ "MIT" ]

1

2020-06-21T20:35:27.000Z

2020-07-14T20:08:55.000Z

3rdparty/huawei-lte-api/huawei_lte_api/api/SNtp.py

tux1c0/plugin-huawei4g

af83ce6321db23fcfd51eb204e00c287d3ea2325

[ "MIT" ]

3

2020-02-27T11:35:55.000Z

2021-03-25T08:51:51.000Z

from huawei_lte_api.ApiGroup import ApiGroup from huawei_lte_api.Connection import GetResponseType class SNtp(ApiGroup): def get_settings(self) -> GetResponseType: return self._connection.get('sntp/settings') def sntpswitch(self) -> GetResponseType: return self._connection.get('sntp/sntpswitch') def serverinfo(self) -> GetResponseType: return self._connection.get('sntp/serverinfo') def timeinfo(self) -> GetResponseType: return self._connection.get('sntp/timeinfo')

30.705882

54

0.731801

58

522

6.431034

0.310345

0.203753

0.268097

0.310992

0.493298

0

0.166667

522

16

55

32.625

0.857471

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1

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null

1

0

null

0

1

0

1

0

6

a23ff4f970fe9900e1378b9ec62b11cbafe38e11

23

py

Python

related_word/__init__.py

yu-su-ke/easily_language_processing

820d0d8faccd2d87246a2e0951868f435c6dcdfb

[ "MIT" ]

null

related_word/__init__.py

yu-su-ke/easily_language_processing

820d0d8faccd2d87246a2e0951868f435c6dcdfb

[ "MIT" ]

4

2019-12-16T12:33:08.000Z

2022-01-13T01:56:56.000Z

related_word/__init__.py

yu-su-ke/easily_language_processing

820d0d8faccd2d87246a2e0951868f435c6dcdfb

[ "MIT" ]

null

from . import wordnet

11.5

22

0.73913

3

23

5.666667

1

0

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23

1

23

0.944444

0

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0

1

0

null

0

1

0

1

0

1

0

6

a2867ef987c4697b728b19d668a96ec8d219e656

328

py

Python

configs/deepim/ycbvPbrSO/FlowNet512_1.5AugCosyAAEGray_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_ycbvPbr_SO/FlowNet512_1.5AugCosyAAEGray_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_Pbr_12_21BleachCleanser.py

THU-DA-6D-Pose-Group/self6dpp

c267cfa55e440e212136a5e9940598720fa21d16

[ "Apache-2.0" ]

33

2021-12-15T07:11:47.000Z

2022-03-29T08:58:32.000Z

configs/deepim/ycbvPbrSO/FlowNet512_1.5AugCosyAAEGray_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_ycbvPbr_SO/FlowNet512_1.5AugCosyAAEGray_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_Pbr_12_21BleachCleanser.py

THU-DA-6D-Pose-Group/self6dpp

c267cfa55e440e212136a5e9940598720fa21d16

[ "Apache-2.0" ]

3

2021-12-15T11:39:54.000Z

2022-03-29T07:24:23.000Z

configs/deepim/ycbvPbrSO/FlowNet512_1.5AugCosyAAEGray_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_ycbvPbr_SO/FlowNet512_1.5AugCosyAAEGray_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_Pbr_12_21BleachCleanser.py

THU-DA-6D-Pose-Group/self6dpp

c267cfa55e440e212136a5e9940598720fa21d16

[ "Apache-2.0" ]

null

_base_ = "./FlowNet512_1.5AugCosyAAEGray_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_Pbr_01_02MasterChefCan.py" OUTPUT_DIR = "output/deepim/ycbvPbrSO/FlowNet512_1.5AugCosyAAEGray_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_ycbvPbr_SO/12_21BleachCleanser" DATASETS = dict(TRAIN=("ycbv_021_bleach_cleanser_train_pbr",))

82

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0.279245

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0

1

0

1

0

1

null

0

6

a2b272636ae154c7c70a00e43c57982cef81e702

112

py

Python

gridnetwork/routes/__init__.py

shashigharti/PyGridNetwork

b69c0988031177c39f555d6e561ecdf6661e5d56

[ "Apache-2.0" ]

1

2022-02-01T14:48:32.000Z

gridnetwork/routes/__init__.py

Benardi/PyGridNetwork

b915fafeca7fe1427162d4f1c4842aa3e38b56b6

[ "Apache-2.0" ]

null

gridnetwork/routes/__init__.py

Benardi/PyGridNetwork

b915fafeca7fe1427162d4f1c4842aa3e38b56b6

[ "Apache-2.0" ]

1

2021-07-06T04:32:24.000Z

from .general import * from .nodes import * from .dataset import * from .models import * from .network import *

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py

Python

src/grocsvs/stages/__init__.py

Uditgulati/grocsvs

e7225b0e65e40138053a214130ebaeec1e1448d8

[ "MIT" ]

39

2016-09-11T03:11:09.000Z

2021-04-27T17:08:05.000Z

src/grocsvs/stages/__init__.py

Uditgulati/grocsvs

e7225b0e65e40138053a214130ebaeec1e1448d8

[ "MIT" ]

34

2016-10-24T22:24:49.000Z

2021-04-12T14:08:54.000Z

src/grocsvs/stages/__init__.py

Uditgulati/grocsvs

e7225b0e65e40138053a214130ebaeec1e1448d8

[ "MIT" ]

7

2017-10-26T00:55:47.000Z

2020-07-28T10:57:28.000Z

from grocsvs.stages import preflight from grocsvs.stages import constants from grocsvs.stages import sample_info from grocsvs.stages import qc from grocsvs.stages import call_readclouds from grocsvs.stages import window_barcodes from grocsvs.stages import barcode_overlaps from grocsvs.stages import sv_candidate_regions from grocsvs.stages import sv_candidates from grocsvs.stages import refine_grid_search_breakpoints from grocsvs.stages import supporting_barcodes from grocsvs.stages import pair_evidence from grocsvs.stages import refine_breakpoints from grocsvs.stages import barcodes_from_graphs from grocsvs.stages import collect_reads_for_barcodes from grocsvs.stages import assembly from grocsvs.stages import walk_assemblies from grocsvs.stages import postassembly_merge from grocsvs.stages import cluster_svs from grocsvs.stages import final_clustering from grocsvs.stages import genotyping from grocsvs.stages import postprocessing from grocsvs.stages import visualize

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6

a2cc1740c7c92ccf224f0f6a695b6d8693cdebc2

91

py

Python

torchdyn/__init__.py

cfinlay/torchdyn

300436c675c4ae51e6bd92fcf4c27fe7d3fc71a5

[ "Apache-2.0" ]

null

torchdyn/__init__.py

cfinlay/torchdyn

300436c675c4ae51e6bd92fcf4c27fe7d3fc71a5

[ "Apache-2.0" ]

null

torchdyn/__init__.py

cfinlay/torchdyn

300436c675c4ae51e6bd92fcf4c27fe7d3fc71a5

[ "Apache-2.0" ]

null

from .adjoint import * from .learner import * from .plot import * from ._internals import *

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6

a2d2a7f76aa30d1d29c1862804ac1728dceb522d

115

py

Python

stRT/plot/two_d_plot/basic_plot/__init__.py

Yao-14/stAnalysis

d08483ce581f5b03cfcad8be500aaa64b0293f74

[ "BSD-3-Clause" ]

null

stRT/plot/two_d_plot/basic_plot/__init__.py

Yao-14/stAnalysis

d08483ce581f5b03cfcad8be500aaa64b0293f74

[ "BSD-3-Clause" ]

null

stRT/plot/two_d_plot/basic_plot/__init__.py

Yao-14/stAnalysis

d08483ce581f5b03cfcad8be500aaa64b0293f74

[ "BSD-3-Clause" ]

null

from .lineplot import basic_line from .utils import basic_FacetGrid, save_fig from .violinplot import basic_violin

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115

5.529412

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0

6

0c5f81b541dd9f32070bddec96b7d6bf60c98fd4

71

py

Python

py_tdlib/constructors/message_chat_delete_photo.py

Mr-TelegramBot/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

24

2018-10-05T13:04:30.000Z

2020-05-12T08:45:34.000Z

py_tdlib/constructors/message_chat_delete_photo.py

MrMahdi313/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

3

2019-06-26T07:20:20.000Z

2021-05-24T13:06:56.000Z

py_tdlib/constructors/message_chat_delete_photo.py

MrMahdi313/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

5

2018-10-05T14:29:28.000Z

2020-08-11T15:04:10.000Z

from ..factory import Type class messageChatDeletePhoto(Type): pass

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35

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null

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null

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1

0

1

0

6

a74a96def1934973a9ab667809fb83552134d6a3

35

py

Python

gilded-rose/item_update_brie.py

padawin/katas

b22d2337dc92351a1349172dadcd4cc1cd29431e

[ "MIT" ]

null

gilded-rose/item_update_brie.py

padawin/katas

b22d2337dc92351a1349172dadcd4cc1cd29431e

[ "MIT" ]

null

gilded-rose/item_update_brie.py

padawin/katas

b22d2337dc92351a1349172dadcd4cc1cd29431e

[ "MIT" ]

null

def update(item): return 1, -1

11.666667

17

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6

35

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null

0

1

0

1

0

6

a791d47fac23f16807f38b1da6bc39f6fbff442d

54

py

Python

text_clf/evaluate.py

kejunxiao/TextClf

aa1c195cb5908c32a3e6ed6891142603cb198d87

[ "BSD-3-Clause" ]

2

2018-05-13T13:00:10.000Z

2018-05-13T13:00:12.000Z

text_clf/evaluate.py

kejunxiao/TextClf

aa1c195cb5908c32a3e6ed6891142603cb198d87

[ "BSD-3-Clause" ]

null

text_clf/evaluate.py

kejunxiao/TextClf

aa1c195cb5908c32a3e6ed6891142603cb198d87

[ "BSD-3-Clause" ]

null

import tensorflow as tf def evaluate(FLAGS): pass

13.5

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54

4

24

13.5

0.930233

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0.333333

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0.666667

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1

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null

0

1

0

1

0

1

0

6

a7b06f1988fca8fbec656a8715a144c4a37df971

23

py

Python

sophus/__init__.py

apl-ocean-engineering/SophusPy

1ae21879047444de91c23e86ba8f3e81d9060759

[ "MIT" ]

24

2018-05-30T02:27:20.000Z

2021-08-14T12:21:03.000Z

sophus/__init__.py

apl-ocean-engineering/SophusPy

1ae21879047444de91c23e86ba8f3e81d9060759

[ "MIT" ]

6

2019-06-29T15:05:57.000Z

2021-12-03T23:32:29.000Z

sophus/__init__.py

apl-ocean-engineering/SophusPy

1ae21879047444de91c23e86ba8f3e81d9060759

[ "MIT" ]

3

2020-07-30T21:52:07.000Z

2021-07-07T22:38:37.000Z

from .sophuspy import *

23

0.782609

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6

1

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0.130435

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1

23

0.9

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0

true

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null

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6

a7d4ec67f9ca2b4fe222c81aae202c0ecef7ba9b

39

py

Python

modelclone/__init__.py

philsjh/django-modelclone

d7c9f18c6e95b5a67f96f65bb73fd4612286913c

[ "MIT" ]

51

2015-01-28T13:51:59.000Z

2022-02-08T11:22:23.000Z

modelclone/__init__.py

philsjh/django-modelclone

d7c9f18c6e95b5a67f96f65bb73fd4612286913c

[ "MIT" ]

28

2015-01-13T11:21:40.000Z

2022-02-01T11:03:54.000Z

modelclone/__init__.py

philsjh/django-modelclone

d7c9f18c6e95b5a67f96f65bb73fd4612286913c

[ "MIT" ]

33

2015-07-09T15:04:26.000Z

2022-03-22T17:37:53.000Z

from .admin import ClonableModelAdmin

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19.5

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6

ac3900b94fabac45a3fd7eeac3c281a4afc15108

115

py

Python

vwgec/utils/softmax.py

snukky/vwgec

1638b24c91ed0324309a91a351986bdff5229a18

[ "MIT" ]

null

vwgec/utils/softmax.py

snukky/vwgec

1638b24c91ed0324309a91a351986bdff5229a18

[ "MIT" ]

null

vwgec/utils/softmax.py

snukky/vwgec

1638b24c91ed0324309a91a351986bdff5229a18

[ "MIT" ]

null

import math def softmax(xs): norm = sum(math.exp(x) for x in xs) return [math.exp(x) / norm for x in xs]

16.428571

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115

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1

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null

0

1

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1

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6

ac56d07b623281c921f21624a21b3881502eda1b

7,097

py

Python

rotaryswitch_example.py

PyTis/wx_aic

38c23ab744bea60767f6bc9fd9f098a3b38584ce

[ "MIT" ]

1

2021-03-20T08:45:07.000Z

rotaryswitch_example.py

PyTis/wx_aic

38c23ab744bea60767f6bc9fd9f098a3b38584ce

[ "MIT" ]

null

rotaryswitch_example.py

PyTis/wx_aic

38c23ab744bea60767f6bc9fd9f098a3b38584ce

[ "MIT" ]

1

2021-03-20T08:45:15.000Z

import os import wx import wx.lib.inspection from aic import ImageControlPanel, ImageControlFrame from aic import RotarySwitch from aic.rotary_switch import EVT_RS_CHANGE RESOURCES = 'res' class ICPanel(ImageControlPanel): def __init__(self, parent, bmp, *args, tiled=False, **kwargs): super().__init__(parent, bmp, *args, tiled, **kwargs) self._populate() self.Bind(EVT_RS_CHANGE, self.on_dial_change, id=self.dial.GetId()) def _populate(self): panel_sizer = wx.BoxSizer(wx.VERTICAL) top_sizer = wx.BoxSizer(wx.HORIZONTAL) top_sizer.Add((0, 0), 1, wx.EXPAND, 5) self.Text1 = wx.StaticText(self, wx.ID_ANY, "Static Text", wx.DefaultPosition, wx.DefaultSize, 0) top_sizer.Add(self.Text1, 0, wx.ALL, 10) top_sizer.Add((0, 0), 1, wx.EXPAND, 5) mid_sizer = wx.BoxSizer(wx.HORIZONTAL) mid_sizer.Add((0, 0), 1, wx.EXPAND, 5) # Add a rotary dial control # dial_pair = ( wx.Bitmap(os.path.join(RESOURCES, 'sticky_knob1.png')), wx.Bitmap(os.path.join(RESOURCES, 'sticky_knob1_handle.png'))) self.dial = RotarySwitch(self, dial_pair) self.dial.set_padding((10, 10)) self.dial.set_rotation_point_offset((-1, 0)) self.dial.set_zero_angle_offset(-225) self.dial.set_pointer_rot_offset(-135) self.dial.set_initial_angle(120) self.dial.set_max_angle(270) self.dial.set_step(2, 4) self.dial.set_highlighting() self.dial.highlight_box = ((0,0), (0,0)) mid_sizer.Add(self.dial,0,0, 10) mid_sizer.Add((0, 0), 1, wx.EXPAND, 5) bot_sizer = wx.BoxSizer(wx.HORIZONTAL) bot_sizer.Add((0, 0), 1, wx.EXPAND, 5) bot_sizer.Add((0, 0), 1, wx.EXPAND, 5) panel_sizer.Add(top_sizer, 1, wx.EXPAND, 5) panel_sizer.Add(mid_sizer, 1, wx.EXPAND, 5) panel_sizer.Add(bot_sizer, 1, wx.EXPAND, 5) self.SetSizer(panel_sizer) self.Layout() def on_dial_change(self,event): self.Text1.SetLabel(str(event.state)) event.Skip() def __del__(self): pass class StdPanel(wx.Panel): def __init__(self, parent, id=wx.ID_ANY, pos=wx.DefaultPosition, size=wx.Size(1024, 768), style=wx.TAB_TRAVERSAL, name=wx.EmptyString): super().__init__(parent, id=id, pos=pos, size=size, style=style, name=name) self._populate() def _populate(self): panel_sizer = wx.BoxSizer(wx.VERTICAL) top_sizer = wx.BoxSizer(wx.HORIZONTAL) top_sizer.Add((0, 0), 1, wx.EXPAND, 5) self.Text1 = wx.StaticText(self, wx.ID_ANY, "Static Text", wx.DefaultPosition, wx.DefaultSize, 0) top_sizer.Add(self.Text1, 0, wx.ALL, 10) top_sizer.Add((0, 0), 1, wx.EXPAND, 5) mid_sizer = wx.BoxSizer(wx.HORIZONTAL) mid_sizer.Add((0, 0), 1, wx.EXPAND, 5) # Add a rotary dial control # dial_pair = ( wx.Bitmap(os.path.join(RESOURCES, 'sticky_knob1.png')), wx.Bitmap(os.path.join(RESOURCES, 'sticky_knob1_mark.png'))) self.dial = RotarySwitch(self, dial_pair) self.dial.set_padding((10, 10)) self.dial.set_rotation_point_offset((-1, 0)) self.dial.set_zero_angle_offset(-225) self.dial.set_pointer_rot_offset(-135) self.dial.set_initial_angle(0) self.dial.set_max_angle(270) self.dial.set_step(2, 4) self.dial.set_highlighting() self.dial.highlight_box = ((10,10), (3,3)) mid_sizer.Add(self.dial,0,0, 10) mid_sizer.Add((0, 0), 1, wx.EXPAND, 5) bot_sizer = wx.BoxSizer(wx.HORIZONTAL) bot_sizer.Add((0, 0), 1, wx.EXPAND, 5) bot_sizer.Add((0, 0), 1, wx.EXPAND, 5) panel_sizer.Add(top_sizer, 1, wx.EXPAND, 5) panel_sizer.Add(mid_sizer, 1, wx.EXPAND, 5) panel_sizer.Add(bot_sizer, 1, wx.EXPAND, 5) self.SetSizer(panel_sizer) self.Layout() self.Bind(EVT_RS_CHANGE, self.on_dial_change, id=self.dial.GetId()) def on_dial_change(self,event): self.Text1.SetLabel(str(event.state)) event.Skip() def __del__(self): pass class StdFrame(wx.Frame): def __init__(self, parent): super().__init__(parent, id=wx.ID_ANY, title="Example wxFrame", pos=wx.DefaultPosition, size=wx.Size(1024, 768), style=wx.DEFAULT_FRAME_STYLE | wx.TAB_TRAVERSAL) # self.SetSizeHints(wx.DefaultSize, wx.DefaultSize) frame_sizer = wx.BoxSizer(wx.HORIZONTAL) """ Choose a panel """ # self.main_panel = StdPanel(self) panel_bmp = wx.Bitmap(os.path.join(RESOURCES, 'sticky_bg.png')) self.main_panel = ICPanel(self, panel_bmp, tiled=True) """ Optional second panel """ # # self.main_panel2 = StdPanel(self) # panel_bmp = wx.Bitmap(os.path.join(RES, 'sticky_bg.png')) # self.main_panel2 = ICPanel(self, panel_bmp, tiled=True) frame_sizer.Add(self.main_panel, 1, wx.EXPAND, 5) # frame_sizer.Add(self.main_panel2, 1, wx.EXPAND, 5) self.SetSizer(frame_sizer) self.Layout() self.Centre(wx.BOTH) self.Bind(wx.EVT_CLOSE, self.on_close) def __del__(self): pass def on_close(self, event): pass event.Skip() class ICFrame(ImageControlFrame): bmp = (os.path.join(RESOURCES, 'led1rect_active_dark.png')) def __init__(self, parent, resizable=True, bitmap=bmp, tiled=True): super().__init__(parent, resizable=resizable, bitmap=bitmap, tiled=tiled, id=wx.ID_ANY, title="Example ICFrame", pos=wx.DefaultPosition, size=wx.Size(1024, 768), style=wx.DEFAULT_FRAME_STYLE) # self.SetSizeHints(wx.Size(1024, 768), wx.DefaultSize, wx.DefaultSize) # Minimum size # self.SetTransparent(125) # self.set_background(wx.Bitmap(os.path.join(RES, 'led1rect_active_dark.png'))) # self.set_tiled(True) # self.set_stored(True) frame_sizer = wx.BoxSizer(wx.HORIZONTAL) """ Choose a panel """ # self.main_panel = StdPanel(self) panel_bmp = wx.Bitmap(os.path.join(RESOURCES, 'sticky_bg.png')) self.main_panel = ICPanel(self, panel_bmp, tiled=True) """ Optional second panel """ # self.main_panel2 = StdPanel(self) # panel_bmp = wx.Bitmap(os.path.join(RES, 'sticky_bg.png')) # # self.main_panel2 = ICPanel(self, panel_bmp, tiled=True) frame_sizer.Add(self.main_panel, 1, wx.EXPAND, 5) # frame_sizer.Add(self.main_panel2, 1, wx.EXPAND, 5) self.SetSizer(frame_sizer) self.Layout() self.Centre(wx.BOTH) self.Bind(wx.EVT_CLOSE, self.on_close) def on_close(self, event): pass event.Skip() def main(): app = wx.App(False) # wx.lib.inspection.InspectionTool().Show() """ Choose a frame """ # mainframe = StdFrame(None) mainframe = ICFrame(None) mainframe.Show() app.MainLoop() if __name__ == '__main__': main()

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ce3c5d892f80be546e7b52413fc58b176cc5c7be

79

py

Python

Code/gettingstarted.py

patvin80/inframonitoring

62e9b3d5a9a51e1427164160eb313a4807978fae

[ "Apache-2.0" ]

null

Code/gettingstarted.py

patvin80/inframonitoring

62e9b3d5a9a51e1427164160eb313a4807978fae

[ "Apache-2.0" ]

null

Code/gettingstarted.py

patvin80/inframonitoring

62e9b3d5a9a51e1427164160eb313a4807978fae

[ "Apache-2.0" ]

null

import json def lambda_handler(event, context): return event["key1"][::-1]

19.75

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1

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null

0

1

0

1

0

6

65fffb94c4a06e73865f72d09b27457dd1cbd1a3

34

py

Python

tartiflette/scalar/__init__.py

alexchamberlain/tartiflette

6904b0f47770c348553e907be5f5bdb0929fe149

[ "MIT" ]

null

tartiflette/scalar/__init__.py

alexchamberlain/tartiflette

6904b0f47770c348553e907be5f5bdb0929fe149

[ "MIT" ]

null

tartiflette/scalar/__init__.py

alexchamberlain/tartiflette

6904b0f47770c348553e907be5f5bdb0929fe149

[ "MIT" ]

null

from .custom_scalar import Scalar

17

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5.6

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1

34

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0

1

0

1

0

6

5a77a34af898b2312a01fb70a0fbe104676f817f

38

py

Python

src/snake/__init__.py

main76/snake-master

3087aed8164f1795e9558c142fc6983c18888056

[ "MIT" ]

8

2017-06-01T10:57:53.000Z

2018-10-20T16:57:18.000Z

src/snake/__init__.py

main76/snake-master

3087aed8164f1795e9558c142fc6983c18888056

[ "MIT" ]

null

src/snake/__init__.py

main76/snake-master

3087aed8164f1795e9558c142fc6983c18888056

[ "MIT" ]

2

2017-06-09T06:21:11.000Z

2019-02-23T09:13:29.000Z

from .handler import Handler, CHANNEL

19

37

0.815789

5

38

6.2

0.8

0

0.131579

38

1

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0.939394

0

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true

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null

0

1

0

1

0

1

0

6

ce4b7c8ad94ee923bd84380b818f1acbf5ff5e45

209

py

Python

paper_uploads/admin/__init__.py

dldevinc/paper-uploads

9414b6e6fbaa52eadacd9852ce3c4d84c6c2c939

[ "BSD-3-Clause" ]

3

2020-06-05T10:43:05.000Z

2022-02-22T16:46:16.000Z

paper_uploads/admin/__init__.py

dldevinc/paper-uploads

9414b6e6fbaa52eadacd9852ce3c4d84c6c2c939

[ "BSD-3-Clause" ]

2

2021-04-03T12:25:20.000Z

2022-02-02T06:10:46.000Z

paper_uploads/admin/__init__.py

dldevinc/paper-uploads

9414b6e6fbaa52eadacd9852ce3c4d84c6c2c939

[ "BSD-3-Clause" ]

null

from .base import UploadedFileBase # noqa: F401 from .collection import CollectionAdminBase # noqa: F401 from .file import UploadedFileAdmin # noqa: F401 from .image import UploadedImageAdmin # noqa: F401

41.8

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209

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1

0

null

0

1

0

1

0

1

0

6

cebd4162d3194622d4d30054b7136281be7c13bb

2,612

py

Python

system-tests/testMainPage.py

FISA-Team/FISA

0508841e70aaa66220e75016cf1166647184b02a

[ "MIT" ]

null

system-tests/testMainPage.py

FISA-Team/FISA

0508841e70aaa66220e75016cf1166647184b02a

[ "MIT" ]

null

system-tests/testMainPage.py

FISA-Team/FISA

0508841e70aaa66220e75016cf1166647184b02a

[ "MIT" ]

2

2020-09-09T19:54:25.000Z

2020-09-13T16:20:36.000Z

import time from baseTest import BaseTest class TestMainPage(BaseTest): def test_MainPageHeading(self): self.navigate("") assert "FISA" in self.driver.title self.driver.find_element_by_id('projectHeading') def test_ChangeThemes(self): # Light theme to dark theme self.navigate("") self.driver.find_element_by_id('themeLanguageMenu').click() time.sleep(0.2) self.driver.find_element_by_xpath('/html/body/div[2]/div[3]/ul/fieldset/div[1]/label[2]/span[1]/span[1]/input').click() time.sleep(0.2) color = self.driver.find_element_by_xpath('/html/body/div/div/div/div/div[1]').value_of_css_property('background-color') assert color == 'rgb(44, 49, 58)' # dark theme to light theme self.driver.find_element_by_id('themeLanguageMenu').click() time.sleep(0.2) self.driver.find_element_by_xpath('/html/body/div[2]/div[3]/ul/fieldset/div[1]/label[1]/span[1]').click() time.sleep(0.2) color = self.driver.find_element_by_xpath('/html/body/div/div/div/div/div[1]').value_of_css_property('background-color') assert color == 'rgb(242, 242, 242)' def test_ChangeLanguages(self): # EN to DE self.navigate("") manageUsecases = self.driver.find_element_by_xpath('/html/body/div/div/div/div/div[2]/h4').text assert manageUsecases == 'Manage Use-Cases' self.driver.find_element_by_id('themeLanguageMenu').click() time.sleep(0.2) self.driver.find_element_by_xpath('/html/body/div[2]/div[3]/ul/fieldset/div[2]/label[2]/span[1]/span[1]/input').click() time.sleep(0.2) manageUsecases = self.driver.find_element_by_xpath('/html/body/div/div/div/div/div[2]/h4').text assert manageUsecases == 'Verwalte Anwendungszenarien' # DE to EN self.driver.find_element_by_id('themeLanguageMenu').click() time.sleep(0.2) self.driver.find_element_by_xpath('/html/body/div[2]/div[3]/ul/fieldset/div[2]/label[1]/span[1]/span[1]/input').click() time.sleep(0.2) manageUsecases = self.driver.find_element_by_xpath('/html/body/div/div/div/div/div[2]/h4').text assert manageUsecases == 'Manage Use-Cases' def test_openDeveloperMenu(self): self.navigate("") self.driver.find_element_by_xpath('/html/body/div/div/div/div/div[2]/button').click() time.sleep(0.2) developerMenuHeading = self.driver.find_element_by_xpath('/html/body/div[2]/div[3]/div/div[1]/h2').text assert developerMenuHeading == "Developer-Menu"

44.271186

128

0.664242

380

2,612

4.413158

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0.089445

0.096601

0.200358

0.756112

0.746571

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0.717352

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0.032048

0.175727

2,612

59

129

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0.746865

0.026417

0

0.55814

0

0.093023

0.298543

0.210319

0

0.162791

1

0.093023

false

0

0.046512

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0.162791

0

null

0

1

0

1

0

null

0

6

0c9b412858adf93dcb37e7dd774003d1ec04bcc4

21

py

Python

pwnlib/rop/__init__.py

IMULMUL/python3-pwntools

61210a68cd88e9084c72292d3119c38c44f07966

[ "MIT" ]

325

2016-01-25T08:38:06.000Z

2022-03-30T14:31:50.000Z

pwnlib/rop/__init__.py

IMULMUL/python3-pwntools

61210a68cd88e9084c72292d3119c38c44f07966

[ "MIT" ]

8

2016-08-23T10:15:27.000Z

2019-01-16T02:49:34.000Z

pwnlib/rop/__init__.py

IMULMUL/python3-pwntools

61210a68cd88e9084c72292d3119c38c44f07966

[ "MIT" ]

71

2016-07-13T10:03:52.000Z

2022-01-10T11:57:34.000Z

from .rop import ROP

10.5

20

0.761905

4

21

4

0.75

0

0.190476

21

1

21

0.941176

0

1

0

true

0

1

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

6

0b2d616b065b2d969ee30305e61730bf71047185

98

py

Python

filekeeper/__main__.py

aaronang/filekeeper

b6fedb304de1644c1b28ad30bcb78b1cf13695cd

[ "MIT" ]

null

filekeeper/__main__.py

aaronang/filekeeper

b6fedb304de1644c1b28ad30bcb78b1cf13695cd

[ "MIT" ]

null

filekeeper/__main__.py

aaronang/filekeeper

b6fedb304de1644c1b28ad30bcb78b1cf13695cd

[ "MIT" ]

null

from filekeeper import get_files, delete_files delete_files([f['id'] for f in get_files()[:10]])

24.5

49

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98

4.058824

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0.112245

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32.666667

0.770115

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0.020408

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true

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0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

0b48e2d90183a864c59d3876a797a43ff19edfbe

37,709

py

Python

instances/passenger_demand/pas-20210421-2109-int1/31.py

LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure

bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11

[ "BSD-3-Clause" ]

null

instances/passenger_demand/pas-20210421-2109-int1/31.py

LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure

bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11

[ "BSD-3-Clause" ]

null

instances/passenger_demand/pas-20210421-2109-int1/31.py

LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure

bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11

[ "BSD-3-Clause" ]

null

""" PASSENGERS """ numPassengers = 2351 passenger_arriving = ( (3, 7, 4, 1, 3, 0, 8, 4, 2, 3, 3, 0), # 0 (3, 4, 7, 3, 0, 0, 12, 3, 4, 4, 0, 0), # 1 (1, 3, 6, 2, 0, 0, 5, 6, 5, 4, 3, 0), # 2 (2, 5, 8, 0, 2, 0, 8, 3, 7, 5, 2, 0), # 3 (2, 7, 2, 2, 1, 0, 5, 7, 5, 3, 4, 0), # 4 (5, 2, 7, 2, 1, 0, 2, 7, 1, 7, 1, 0), # 5 (1, 5, 2, 4, 4, 0, 6, 9, 5, 7, 3, 0), # 6 (4, 3, 5, 2, 2, 0, 4, 8, 4, 5, 1, 0), # 7 (3, 8, 7, 0, 0, 0, 3, 9, 2, 8, 3, 0), # 8 (3, 10, 5, 0, 2, 0, 9, 4, 3, 5, 0, 0), # 9 (3, 10, 10, 0, 1, 0, 5, 8, 4, 3, 1, 0), # 10 (4, 9, 8, 4, 0, 0, 2, 6, 6, 2, 0, 0), # 11 (4, 4, 3, 0, 2, 0, 6, 3, 2, 2, 3, 0), # 12 (4, 10, 4, 3, 1, 0, 6, 10, 3, 1, 1, 0), # 13 (6, 5, 5, 2, 2, 0, 9, 5, 1, 5, 1, 0), # 14 (4, 5, 3, 4, 0, 0, 5, 7, 4, 3, 0, 0), # 15 (8, 8, 2, 5, 1, 0, 6, 7, 7, 0, 1, 0), # 16 (1, 5, 4, 6, 1, 0, 4, 8, 5, 4, 1, 0), # 17 (2, 4, 5, 1, 3, 0, 5, 3, 4, 2, 2, 0), # 18 (3, 5, 6, 1, 1, 0, 3, 6, 7, 1, 1, 0), # 19 (3, 6, 8, 2, 1, 0, 5, 4, 1, 7, 5, 0), # 20 (3, 9, 3, 2, 0, 0, 4, 6, 3, 6, 2, 0), # 21 (3, 10, 7, 4, 1, 0, 2, 4, 8, 3, 0, 0), # 22 (5, 5, 5, 2, 6, 0, 3, 7, 7, 4, 2, 0), # 23 (5, 8, 3, 3, 3, 0, 7, 5, 3, 7, 4, 0), # 24 (6, 7, 2, 1, 1, 0, 8, 4, 2, 2, 3, 0), # 25 (4, 8, 4, 3, 3, 0, 8, 6, 3, 4, 0, 0), # 26 (3, 9, 2, 0, 2, 0, 4, 9, 3, 4, 0, 0), # 27 (2, 8, 7, 1, 2, 0, 6, 3, 4, 3, 2, 0), # 28 (2, 4, 6, 2, 2, 0, 4, 5, 4, 2, 4, 0), # 29 (3, 9, 6, 2, 1, 0, 4, 6, 1, 2, 1, 0), # 30 (2, 3, 3, 4, 1, 0, 9, 6, 10, 4, 2, 0), # 31 (1, 11, 6, 5, 0, 0, 6, 4, 5, 3, 2, 0), # 32 (2, 6, 3, 3, 1, 0, 2, 4, 5, 5, 6, 0), # 33 (4, 6, 9, 2, 0, 0, 7, 6, 8, 2, 1, 0), # 34 (5, 5, 7, 4, 1, 0, 6, 2, 4, 5, 6, 0), # 35 (1, 4, 5, 3, 1, 0, 1, 5, 5, 3, 2, 0), # 36 (3, 4, 9, 2, 2, 0, 6, 4, 4, 4, 2, 0), # 37 (3, 6, 5, 2, 2, 0, 3, 6, 1, 4, 0, 0), # 38 (1, 10, 7, 3, 3, 0, 4, 9, 3, 11, 2, 0), # 39 (2, 11, 6, 1, 0, 0, 6, 3, 1, 5, 1, 0), # 40 (4, 5, 11, 5, 0, 0, 6, 9, 2, 3, 5, 0), # 41 (2, 8, 5, 2, 0, 0, 5, 8, 7, 4, 0, 0), # 42 (4, 5, 2, 2, 4, 0, 2, 7, 3, 1, 0, 0), # 43 (2, 6, 6, 3, 0, 0, 5, 10, 9, 2, 3, 0), # 44 (3, 4, 4, 2, 1, 0, 7, 3, 4, 3, 4, 0), # 45 (3, 3, 5, 4, 1, 0, 4, 7, 3, 3, 0, 0), # 46 (3, 5, 9, 2, 3, 0, 2, 7, 2, 1, 3, 0), # 47 (4, 6, 6, 4, 6, 0, 5, 6, 7, 4, 1, 0), # 48 (5, 8, 4, 7, 1, 0, 4, 9, 4, 3, 3, 0), # 49 (6, 9, 4, 4, 4, 0, 4, 3, 5, 2, 3, 0), # 50 (5, 7, 8, 4, 2, 0, 3, 7, 6, 4, 1, 0), # 51 (1, 6, 3, 2, 5, 0, 1, 7, 1, 4, 5, 0), # 52 (5, 6, 4, 3, 3, 0, 2, 4, 8, 4, 0, 0), # 53 (4, 8, 1, 1, 2, 0, 4, 7, 4, 1, 3, 0), # 54 (3, 8, 8, 1, 4, 0, 2, 7, 3, 5, 1, 0), # 55 (2, 7, 7, 6, 2, 0, 5, 3, 3, 2, 3, 0), # 56 (4, 3, 6, 3, 2, 0, 4, 7, 4, 2, 2, 0), # 57 (3, 10, 3, 1, 4, 0, 3, 6, 5, 2, 3, 0), # 58 (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # 59 ) station_arriving_intensity = ( (2.649651558384548, 6.796460700757575, 7.9942360218509, 6.336277173913043, 7.143028846153846, 4.75679347826087), # 0 (2.6745220100478, 6.872041598712823, 8.037415537524994, 6.371564387077295, 7.196566506410256, 4.7551721391908215), # 1 (2.699108477221734, 6.946501402918069, 8.07957012282205, 6.406074879227053, 7.248974358974359, 4.753501207729468), # 2 (2.72339008999122, 7.019759765625, 8.120668982969152, 6.4397792119565205, 7.300204326923078, 4.7517809103260875), # 3 (2.747345978441128, 7.091736339085298, 8.160681323193373, 6.472647946859904, 7.350208333333334, 4.750011473429951), # 4 (2.7709552726563262, 7.162350775550646, 8.199576348721793, 6.504651645531401, 7.39893830128205, 4.748193123490338), # 5 (2.794197102721686, 7.231522727272727, 8.237323264781493, 6.535760869565218, 7.446346153846154, 4.746326086956522), # 6 (2.817050598722076, 7.299171846503226, 8.273891276599542, 6.565946180555556, 7.492383814102565, 4.744410590277778), # 7 (2.8394948907423667, 7.365217785493826, 8.309249589403029, 6.595178140096618, 7.537003205128205, 4.7424468599033816), # 8 (2.8615091088674274, 7.429580196496212, 8.343367408419024, 6.623427309782609, 7.580156249999999, 4.740435122282609), # 9 (2.8830723831821286, 7.492178731762065, 8.376213938874606, 6.65066425120773, 7.621794871794872, 4.738375603864734), # 10 (2.9041638437713395, 7.55293304354307, 8.407758385996857, 6.676859525966184, 7.661870993589743, 4.736268531099034), # 11 (2.92476262071993, 7.611762784090908, 8.437969955012854, 6.7019836956521734, 7.700336538461538, 4.734114130434782), # 12 (2.944847844112769, 7.668587605657268, 8.46681785114967, 6.726007321859903, 7.737143429487181, 4.731912628321256), # 13 (2.9643986440347283, 7.723327160493828, 8.494271279634388, 6.748900966183574, 7.772243589743589, 4.729664251207729), # 14 (2.9833941505706756, 7.775901100852272, 8.520299445694086, 6.770635190217391, 7.8055889423076925, 4.7273692255434785), # 15 (3.001813493805482, 7.826229078984287, 8.544871554555842, 6.791180555555555, 7.8371314102564105, 4.725027777777778), # 16 (3.019635803824017, 7.874230747141554, 8.567956811446729, 6.810507623792271, 7.866822916666667, 4.722640134359904), # 17 (3.03684021071115, 7.919825757575757, 8.589524421593831, 6.82858695652174, 7.894615384615387, 4.72020652173913), # 18 (3.053405844551751, 7.962933762538579, 8.609543590224222, 6.845389115338164, 7.9204607371794875, 4.717727166364734), # 19 (3.0693118354306894, 8.003474414281705, 8.62798352256498, 6.860884661835749, 7.944310897435898, 4.71520229468599), # 20 (3.084537313432836, 8.041367365056816, 8.644813423843189, 6.875044157608696, 7.9661177884615375, 4.712632133152174), # 21 (3.099061408643059, 8.076532267115601, 8.660002499285918, 6.887838164251208, 7.985833333333332, 4.710016908212561), # 22 (3.1128632511462295, 8.108888772709737, 8.673519954120252, 6.899237243357488, 8.003409455128205, 4.707356846316426), # 23 (3.125921971027217, 8.138356534090908, 8.685334993573264, 6.909211956521739, 8.018798076923076, 4.704652173913043), # 24 (3.1382166983708903, 8.164855203510802, 8.695416822872037, 6.917732865338165, 8.03195112179487, 4.701903117451691), # 25 (3.1497265632621207, 8.188304433221099, 8.703734647243644, 6.9247705314009655, 8.042820512820512, 4.699109903381642), # 26 (3.160430695785777, 8.208623875473483, 8.710257671915166, 6.930295516304349, 8.051358173076924, 4.696272758152174), # 27 (3.1703082260267292, 8.22573318251964, 8.714955102113683, 6.934278381642512, 8.057516025641025, 4.69339190821256), # 28 (3.1793382840698468, 8.239552006611252, 8.717796143066266, 6.936689689009662, 8.061245993589743, 4.690467580012077), # 29 (3.1875, 8.25, 8.71875, 6.9375, 8.0625, 4.6875), # 30 (3.1951370284526854, 8.258678799715907, 8.718034948671496, 6.937353656045752, 8.062043661347518, 4.683376259786773), # 31 (3.202609175191816, 8.267242897727273, 8.715910024154589, 6.93691748366013, 8.06068439716312, 4.677024758454107), # 32 (3.2099197969948845, 8.275691228693182, 8.712405570652175, 6.936195772058824, 8.058436835106383, 4.66850768365817), # 33 (3.217072250639386, 8.284022727272728, 8.70755193236715, 6.935192810457517, 8.05531560283688, 4.657887223055139), # 34 (3.224069892902813, 8.292236328124998, 8.701379453502415, 6.933912888071895, 8.051335328014185, 4.645225564301183), # 35 (3.23091608056266, 8.300330965909092, 8.69391847826087, 6.932360294117648, 8.046510638297873, 4.630584895052474), # 36 (3.2376141703964194, 8.308305575284091, 8.68519935084541, 6.9305393178104575, 8.040856161347516, 4.614027402965184), # 37 (3.2441675191815853, 8.31615909090909, 8.675252415458937, 6.9284542483660125, 8.034386524822695, 4.595615275695485), # 38 (3.250579483695652, 8.323890447443182, 8.664108016304347, 6.926109375, 8.027116356382978, 4.57541070089955), # 39 (3.2568534207161126, 8.331498579545455, 8.651796497584542, 6.923508986928105, 8.019060283687942, 4.5534758662335495), # 40 (3.26299268702046, 8.338982421874999, 8.638348203502416, 6.920657373366013, 8.010232934397163, 4.529872959353657), # 41 (3.269000639386189, 8.34634090909091, 8.62379347826087, 6.917558823529411, 8.000648936170213, 4.504664167916042), # 42 (3.2748806345907933, 8.353572975852272, 8.608162666062801, 6.914217626633987, 7.990322916666666, 4.477911679576878), # 43 (3.2806360294117645, 8.360677556818182, 8.591486111111111, 6.910638071895424, 7.979269503546099, 4.449677681992337), # 44 (3.286270180626598, 8.367653586647727, 8.573794157608697, 6.906824448529411, 7.967503324468085, 4.420024362818591), # 45 (3.291786445012788, 8.374500000000001, 8.555117149758455, 6.902781045751634, 7.955039007092199, 4.389013909711811), # 46 (3.297188179347826, 8.381215731534091, 8.535485431763284, 6.898512152777777, 7.941891179078015, 4.356708510328169), # 47 (3.3024787404092075, 8.387799715909091, 8.514929347826087, 6.894022058823529, 7.928074468085106, 4.323170352323839), # 48 (3.307661484974424, 8.39425088778409, 8.493479242149759, 6.889315053104576, 7.91360350177305, 4.288461623354989), # 49 (3.312739769820972, 8.40056818181818, 8.471165458937199, 6.884395424836602, 7.898492907801418, 4.252644511077794), # 50 (3.317716951726343, 8.406750532670454, 8.448018342391304, 6.879267463235294, 7.882757313829787, 4.215781203148426), # 51 (3.322596387468031, 8.412796875, 8.424068236714975, 6.87393545751634, 7.86641134751773, 4.177933887223055), # 52 (3.3273814338235295, 8.41870614346591, 8.39934548611111, 6.868403696895425, 7.849469636524823, 4.139164750957854), # 53 (3.332075447570333, 8.424477272727271, 8.373880434782608, 6.8626764705882355, 7.831946808510638, 4.099535982008995), # 54 (3.336681785485933, 8.430109197443182, 8.347703426932366, 6.856758067810458, 7.813857491134752, 4.05910976803265), # 55 (3.341203804347826, 8.435600852272726, 8.320844806763285, 6.8506527777777775, 7.795216312056738, 4.017948296684991), # 56 (3.345644860933504, 8.440951171875001, 8.29333491847826, 6.844364889705882, 7.77603789893617, 3.9761137556221886), # 57 (3.3500083120204605, 8.44615909090909, 8.265204106280192, 6.837898692810458, 7.756336879432624, 3.9336683325004165), # 58 (0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 59 ) passenger_arriving_acc = ( (3, 7, 4, 1, 3, 0, 8, 4, 2, 3, 3, 0), # 0 (6, 11, 11, 4, 3, 0, 20, 7, 6, 7, 3, 0), # 1 (7, 14, 17, 6, 3, 0, 25, 13, 11, 11, 6, 0), # 2 (9, 19, 25, 6, 5, 0, 33, 16, 18, 16, 8, 0), # 3 (11, 26, 27, 8, 6, 0, 38, 23, 23, 19, 12, 0), # 4 (16, 28, 34, 10, 7, 0, 40, 30, 24, 26, 13, 0), # 5 (17, 33, 36, 14, 11, 0, 46, 39, 29, 33, 16, 0), # 6 (21, 36, 41, 16, 13, 0, 50, 47, 33, 38, 17, 0), # 7 (24, 44, 48, 16, 13, 0, 53, 56, 35, 46, 20, 0), # 8 (27, 54, 53, 16, 15, 0, 62, 60, 38, 51, 20, 0), # 9 (30, 64, 63, 16, 16, 0, 67, 68, 42, 54, 21, 0), # 10 (34, 73, 71, 20, 16, 0, 69, 74, 48, 56, 21, 0), # 11 (38, 77, 74, 20, 18, 0, 75, 77, 50, 58, 24, 0), # 12 (42, 87, 78, 23, 19, 0, 81, 87, 53, 59, 25, 0), # 13 (48, 92, 83, 25, 21, 0, 90, 92, 54, 64, 26, 0), # 14 (52, 97, 86, 29, 21, 0, 95, 99, 58, 67, 26, 0), # 15 (60, 105, 88, 34, 22, 0, 101, 106, 65, 67, 27, 0), # 16 (61, 110, 92, 40, 23, 0, 105, 114, 70, 71, 28, 0), # 17 (63, 114, 97, 41, 26, 0, 110, 117, 74, 73, 30, 0), # 18 (66, 119, 103, 42, 27, 0, 113, 123, 81, 74, 31, 0), # 19 (69, 125, 111, 44, 28, 0, 118, 127, 82, 81, 36, 0), # 20 (72, 134, 114, 46, 28, 0, 122, 133, 85, 87, 38, 0), # 21 (75, 144, 121, 50, 29, 0, 124, 137, 93, 90, 38, 0), # 22 (80, 149, 126, 52, 35, 0, 127, 144, 100, 94, 40, 0), # 23 (85, 157, 129, 55, 38, 0, 134, 149, 103, 101, 44, 0), # 24 (91, 164, 131, 56, 39, 0, 142, 153, 105, 103, 47, 0), # 25 (95, 172, 135, 59, 42, 0, 150, 159, 108, 107, 47, 0), # 26 (98, 181, 137, 59, 44, 0, 154, 168, 111, 111, 47, 0), # 27 (100, 189, 144, 60, 46, 0, 160, 171, 115, 114, 49, 0), # 28 (102, 193, 150, 62, 48, 0, 164, 176, 119, 116, 53, 0), # 29 (105, 202, 156, 64, 49, 0, 168, 182, 120, 118, 54, 0), # 30 (107, 205, 159, 68, 50, 0, 177, 188, 130, 122, 56, 0), # 31 (108, 216, 165, 73, 50, 0, 183, 192, 135, 125, 58, 0), # 32 (110, 222, 168, 76, 51, 0, 185, 196, 140, 130, 64, 0), # 33 (114, 228, 177, 78, 51, 0, 192, 202, 148, 132, 65, 0), # 34 (119, 233, 184, 82, 52, 0, 198, 204, 152, 137, 71, 0), # 35 (120, 237, 189, 85, 53, 0, 199, 209, 157, 140, 73, 0), # 36 (123, 241, 198, 87, 55, 0, 205, 213, 161, 144, 75, 0), # 37 (126, 247, 203, 89, 57, 0, 208, 219, 162, 148, 75, 0), # 38 (127, 257, 210, 92, 60, 0, 212, 228, 165, 159, 77, 0), # 39 (129, 268, 216, 93, 60, 0, 218, 231, 166, 164, 78, 0), # 40 (133, 273, 227, 98, 60, 0, 224, 240, 168, 167, 83, 0), # 41 (135, 281, 232, 100, 60, 0, 229, 248, 175, 171, 83, 0), # 42 (139, 286, 234, 102, 64, 0, 231, 255, 178, 172, 83, 0), # 43 (141, 292, 240, 105, 64, 0, 236, 265, 187, 174, 86, 0), # 44 (144, 296, 244, 107, 65, 0, 243, 268, 191, 177, 90, 0), # 45 (147, 299, 249, 111, 66, 0, 247, 275, 194, 180, 90, 0), # 46 (150, 304, 258, 113, 69, 0, 249, 282, 196, 181, 93, 0), # 47 (154, 310, 264, 117, 75, 0, 254, 288, 203, 185, 94, 0), # 48 (159, 318, 268, 124, 76, 0, 258, 297, 207, 188, 97, 0), # 49 (165, 327, 272, 128, 80, 0, 262, 300, 212, 190, 100, 0), # 50 (170, 334, 280, 132, 82, 0, 265, 307, 218, 194, 101, 0), # 51 (171, 340, 283, 134, 87, 0, 266, 314, 219, 198, 106, 0), # 52 (176, 346, 287, 137, 90, 0, 268, 318, 227, 202, 106, 0), # 53 (180, 354, 288, 138, 92, 0, 272, 325, 231, 203, 109, 0), # 54 (183, 362, 296, 139, 96, 0, 274, 332, 234, 208, 110, 0), # 55 (185, 369, 303, 145, 98, 0, 279, 335, 237, 210, 113, 0), # 56 (189, 372, 309, 148, 100, 0, 283, 342, 241, 212, 115, 0), # 57 (192, 382, 312, 149, 104, 0, 286, 348, 246, 214, 118, 0), # 58 (192, 382, 312, 149, 104, 0, 286, 348, 246, 214, 118, 0), # 59 ) passenger_arriving_rate = ( (2.649651558384548, 5.43716856060606, 4.79654161311054, 2.534510869565217, 1.428605769230769, 0.0, 4.75679347826087, 5.714423076923076, 3.801766304347826, 3.1976944087403596, 1.359292140151515, 0.0), # 0 (2.6745220100478, 5.497633278970258, 4.822449322514997, 2.5486257548309177, 1.439313301282051, 0.0, 4.7551721391908215, 5.757253205128204, 3.8229386322463768, 3.2149662150099974, 1.3744083197425645, 0.0), # 1 (2.699108477221734, 5.557201122334455, 4.8477420736932295, 2.562429951690821, 1.4497948717948717, 0.0, 4.753501207729468, 5.799179487179487, 3.8436449275362317, 3.23182804912882, 1.3893002805836137, 0.0), # 2 (2.72339008999122, 5.6158078125, 4.872401389781491, 2.575911684782608, 1.4600408653846155, 0.0, 4.7517809103260875, 5.840163461538462, 3.863867527173912, 3.2482675931876606, 1.403951953125, 0.0), # 3 (2.747345978441128, 5.673389071268238, 4.896408793916024, 2.589059178743961, 1.4700416666666667, 0.0, 4.750011473429951, 5.880166666666667, 3.883588768115942, 3.2642725292773487, 1.4183472678170594, 0.0), # 4 (2.7709552726563262, 5.729880620440516, 4.919745809233076, 2.6018606582125603, 1.47978766025641, 0.0, 4.748193123490338, 5.91915064102564, 3.9027909873188404, 3.279830539488717, 1.432470155110129, 0.0), # 5 (2.794197102721686, 5.785218181818181, 4.942393958868895, 2.614304347826087, 1.4892692307692306, 0.0, 4.746326086956522, 5.957076923076922, 3.9214565217391306, 3.294929305912597, 1.4463045454545453, 0.0), # 6 (2.817050598722076, 5.83933747720258, 4.964334765959725, 2.626378472222222, 1.498476762820513, 0.0, 4.744410590277778, 5.993907051282052, 3.939567708333333, 3.309556510639817, 1.459834369300645, 0.0), # 7 (2.8394948907423667, 5.89217422839506, 4.985549753641817, 2.638071256038647, 1.5074006410256409, 0.0, 4.7424468599033816, 6.0296025641025635, 3.9571068840579704, 3.3236998357612113, 1.473043557098765, 0.0), # 8 (2.8615091088674274, 5.943664157196969, 5.006020445051414, 2.649370923913043, 1.5160312499999997, 0.0, 4.740435122282609, 6.064124999999999, 3.9740563858695652, 3.3373469633676094, 1.4859160392992423, 0.0), # 9 (2.8830723831821286, 5.993742985409652, 5.025728363324764, 2.660265700483092, 1.5243589743589743, 0.0, 4.738375603864734, 6.097435897435897, 3.990398550724638, 3.3504855755498424, 1.498435746352413, 0.0), # 10 (2.9041638437713395, 6.042346434834456, 5.044655031598114, 2.6707438103864733, 1.5323741987179484, 0.0, 4.736268531099034, 6.129496794871794, 4.0061157155797105, 3.3631033543987425, 1.510586608708614, 0.0), # 11 (2.92476262071993, 6.089410227272726, 5.062781973007712, 2.680793478260869, 1.5400673076923075, 0.0, 4.734114130434782, 6.16026923076923, 4.021190217391304, 3.375187982005141, 1.5223525568181815, 0.0), # 12 (2.944847844112769, 6.134870084525814, 5.080090710689802, 2.690402928743961, 1.547428685897436, 0.0, 4.731912628321256, 6.189714743589744, 4.035604393115942, 3.386727140459868, 1.5337175211314535, 0.0), # 13 (2.9643986440347283, 6.1786617283950624, 5.096562767780632, 2.699560386473429, 1.5544487179487176, 0.0, 4.729664251207729, 6.217794871794871, 4.049340579710144, 3.397708511853755, 1.5446654320987656, 0.0), # 14 (2.9833941505706756, 6.220720880681816, 5.112179667416451, 2.708254076086956, 1.5611177884615384, 0.0, 4.7273692255434785, 6.2444711538461535, 4.062381114130434, 3.408119778277634, 1.555180220170454, 0.0), # 15 (3.001813493805482, 6.26098326318743, 5.126922932733505, 2.716472222222222, 1.5674262820512819, 0.0, 4.725027777777778, 6.2697051282051275, 4.074708333333333, 3.4179486218223363, 1.5652458157968574, 0.0), # 16 (3.019635803824017, 6.299384597713242, 5.140774086868038, 2.724203049516908, 1.5733645833333332, 0.0, 4.722640134359904, 6.293458333333333, 4.0863045742753625, 3.4271827245786914, 1.5748461494283106, 0.0), # 17 (3.03684021071115, 6.3358606060606055, 5.153714652956299, 2.7314347826086958, 1.578923076923077, 0.0, 4.72020652173913, 6.315692307692308, 4.097152173913043, 3.435809768637532, 1.5839651515151514, 0.0), # 18 (3.053405844551751, 6.370347010030863, 5.165726154134533, 2.738155646135265, 1.5840921474358973, 0.0, 4.717727166364734, 6.336368589743589, 4.107233469202898, 3.4438174360896885, 1.5925867525077158, 0.0), # 19 (3.0693118354306894, 6.402779531425363, 5.1767901135389875, 2.7443538647342995, 1.5888621794871793, 0.0, 4.71520229468599, 6.355448717948717, 4.11653079710145, 3.4511934090259917, 1.6006948828563408, 0.0), # 20 (3.084537313432836, 6.433093892045452, 5.186888054305913, 2.750017663043478, 1.5932235576923073, 0.0, 4.712632133152174, 6.372894230769229, 4.125026494565217, 3.4579253695372754, 1.608273473011363, 0.0), # 21 (3.099061408643059, 6.46122581369248, 5.19600149957155, 2.7551352657004826, 1.5971666666666662, 0.0, 4.710016908212561, 6.388666666666665, 4.132702898550725, 3.464000999714367, 1.61530645342312, 0.0), # 22 (3.1128632511462295, 6.487111018167789, 5.204111972472151, 2.759694897342995, 1.6006818910256408, 0.0, 4.707356846316426, 6.402727564102563, 4.139542346014493, 3.4694079816481005, 1.6217777545419472, 0.0), # 23 (3.125921971027217, 6.5106852272727265, 5.211200996143958, 2.763684782608695, 1.6037596153846152, 0.0, 4.704652173913043, 6.415038461538461, 4.1455271739130435, 3.474133997429305, 1.6276713068181816, 0.0), # 24 (3.1382166983708903, 6.531884162808641, 5.217250093723222, 2.7670931461352657, 1.606390224358974, 0.0, 4.701903117451691, 6.425560897435896, 4.150639719202899, 3.4781667291488145, 1.6329710407021603, 0.0), # 25 (3.1497265632621207, 6.550643546576878, 5.222240788346187, 2.7699082125603858, 1.6085641025641022, 0.0, 4.699109903381642, 6.434256410256409, 4.154862318840579, 3.4814938588974575, 1.6376608866442195, 0.0), # 26 (3.160430695785777, 6.566899100378786, 5.226154603149099, 2.772118206521739, 1.6102716346153847, 0.0, 4.696272758152174, 6.441086538461539, 4.158177309782609, 3.484103068766066, 1.6417247750946966, 0.0), # 27 (3.1703082260267292, 6.580586546015712, 5.228973061268209, 2.7737113526570045, 1.6115032051282048, 0.0, 4.69339190821256, 6.446012820512819, 4.160567028985507, 3.4859820408454727, 1.645146636503928, 0.0), # 28 (3.1793382840698468, 6.591641605289001, 5.230677685839759, 2.7746758756038647, 1.6122491987179486, 0.0, 4.690467580012077, 6.448996794871794, 4.162013813405797, 3.487118457226506, 1.6479104013222503, 0.0), # 29 (3.1875, 6.6, 5.23125, 2.775, 1.6124999999999998, 0.0, 4.6875, 6.449999999999999, 4.1625, 3.4875, 1.65, 0.0), # 30 (3.1951370284526854, 6.606943039772726, 5.230820969202898, 2.7749414624183006, 1.6124087322695035, 0.0, 4.683376259786773, 6.449634929078014, 4.162412193627451, 3.4872139794685983, 1.6517357599431814, 0.0), # 31 (3.202609175191816, 6.613794318181818, 5.229546014492753, 2.7747669934640515, 1.6121368794326238, 0.0, 4.677024758454107, 6.448547517730495, 4.162150490196078, 3.4863640096618354, 1.6534485795454545, 0.0), # 32 (3.2099197969948845, 6.620552982954545, 5.227443342391305, 2.774478308823529, 1.6116873670212764, 0.0, 4.66850768365817, 6.446749468085105, 4.161717463235294, 3.4849622282608697, 1.6551382457386363, 0.0), # 33 (3.217072250639386, 6.627218181818182, 5.224531159420289, 2.7740771241830067, 1.6110631205673758, 0.0, 4.657887223055139, 6.444252482269503, 4.16111568627451, 3.4830207729468596, 1.6568045454545455, 0.0), # 34 (3.224069892902813, 6.633789062499998, 5.220827672101449, 2.773565155228758, 1.6102670656028368, 0.0, 4.645225564301183, 6.441068262411347, 4.160347732843137, 3.480551781400966, 1.6584472656249996, 0.0), # 35 (3.23091608056266, 6.6402647727272734, 5.2163510869565215, 2.7729441176470586, 1.6093021276595745, 0.0, 4.630584895052474, 6.437208510638298, 4.159416176470589, 3.477567391304347, 1.6600661931818184, 0.0), # 36 (3.2376141703964194, 6.6466444602272725, 5.211119610507246, 2.7722157271241827, 1.6081712322695032, 0.0, 4.614027402965184, 6.432684929078013, 4.158323590686274, 3.474079740338164, 1.6616611150568181, 0.0), # 37 (3.2441675191815853, 6.652927272727272, 5.205151449275362, 2.7713816993464047, 1.6068773049645388, 0.0, 4.595615275695485, 6.427509219858155, 4.157072549019607, 3.4701009661835744, 1.663231818181818, 0.0), # 38 (3.250579483695652, 6.659112357954545, 5.198464809782608, 2.7704437499999996, 1.6054232712765955, 0.0, 4.57541070089955, 6.421693085106382, 4.155665625, 3.4656432065217384, 1.6647780894886361, 0.0), # 39 (3.2568534207161126, 6.6651988636363635, 5.191077898550724, 2.7694035947712417, 1.6038120567375882, 0.0, 4.5534758662335495, 6.415248226950353, 4.154105392156863, 3.4607185990338163, 1.6662997159090909, 0.0), # 40 (3.26299268702046, 6.671185937499998, 5.1830089221014495, 2.768262949346405, 1.6020465868794325, 0.0, 4.529872959353657, 6.40818634751773, 4.152394424019608, 3.455339281400966, 1.6677964843749995, 0.0), # 41 (3.269000639386189, 6.677072727272728, 5.174276086956522, 2.767023529411764, 1.6001297872340425, 0.0, 4.504664167916042, 6.40051914893617, 4.150535294117646, 3.4495173913043478, 1.669268181818182, 0.0), # 42 (3.2748806345907933, 6.682858380681817, 5.164897599637681, 2.7656870506535944, 1.5980645833333331, 0.0, 4.477911679576878, 6.3922583333333325, 4.148530575980392, 3.4432650664251203, 1.6707145951704543, 0.0), # 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More information: https://numpy.org/doc/stable/reference/random/parallel.html """ #initial entropy entropy = 258194110137029475889902652135037600173 #index for seed sequence child child_seed_index = ( 1, # 0 30, # 1 )

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e7f5537d1b212063f8cb3963209b7c68c772db72

3,213

py

Python

test/dlc_tests/ec2/tensorflow/training/test_tensorflow_training.py

Satish615/deep-learning-containers-1

76e750e828b6f583a6b7b1c291057059a14285b1

[ "Apache-2.0" ]

1

2021-12-17T15:50:48.000Z

test/dlc_tests/ec2/tensorflow/training/test_tensorflow_training.py

Satish615/deep-learning-containers-1

76e750e828b6f583a6b7b1c291057059a14285b1

[ "Apache-2.0" ]

null

test/dlc_tests/ec2/tensorflow/training/test_tensorflow_training.py

Satish615/deep-learning-containers-1

76e750e828b6f583a6b7b1c291057059a14285b1

[ "Apache-2.0" ]

null

import os import pytest from test.test_utils import CONTAINER_TESTS_PREFIX, is_tf1 from test.test_utils.ec2 import execute_ec2_training_test TF1_STANDALONE_CMD = os.path.join(CONTAINER_TESTS_PREFIX, "testTensorflow1Standalone") TF2_STANDALONE_CMD = os.path.join(CONTAINER_TESTS_PREFIX, "testTensorflow2Standalone") TF_MNIST_CMD = os.path.join(CONTAINER_TESTS_PREFIX, "testTensorFlow") TF1_HVD_CMD = os.path.join(CONTAINER_TESTS_PREFIX, "testTF1HVD") TF2_HVD_CMD = os.path.join(CONTAINER_TESTS_PREFIX, "testTF2HVD") TF_OPENCV_CMD = os.path.join(CONTAINER_TESTS_PREFIX, "testOpenCV") TF_EC2_GPU_INSTANCE_TYPE = "p2.xlarge" TF_EC2_CPU_INSTANCE_TYPE = "c5.4xlarge" @pytest.mark.parametrize("ec2_instance_type", [TF_EC2_GPU_INSTANCE_TYPE], indirect=True) def test_tensorflow_standalone_gpu(tensorflow_training, ec2_connection, gpu_only): test_script = TF1_STANDALONE_CMD if is_tf1(tensorflow_training) else TF2_STANDALONE_CMD execute_ec2_training_test(ec2_connection, tensorflow_training, test_script) @pytest.mark.parametrize("ec2_instance_type", [TF_EC2_CPU_INSTANCE_TYPE], indirect=True) def test_tensorflow_standalone_cpu(tensorflow_training, ec2_connection, cpu_only): test_script = TF1_STANDALONE_CMD if is_tf1(tensorflow_training) else TF2_STANDALONE_CMD execute_ec2_training_test(ec2_connection, tensorflow_training, test_script) @pytest.mark.parametrize("ec2_instance_type", [TF_EC2_GPU_INSTANCE_TYPE], indirect=True) def test_tensorflow_train_mnist_gpu(tensorflow_training, ec2_connection, gpu_only): execute_ec2_training_test(ec2_connection, tensorflow_training, TF_MNIST_CMD) @pytest.mark.parametrize("ec2_instance_type", [TF_EC2_CPU_INSTANCE_TYPE], indirect=True) def test_tensorflow_train_mnist_cpu(tensorflow_training, ec2_connection, cpu_only): execute_ec2_training_test(ec2_connection, tensorflow_training, TF_MNIST_CMD) @pytest.mark.parametrize("ec2_instance_type", [TF_EC2_GPU_INSTANCE_TYPE], indirect=True) def test_tensorflow_with_horovod_gpu(tensorflow_training, ec2_connection, gpu_only): test_script = TF1_HVD_CMD if is_tf1(tensorflow_training) else TF2_HVD_CMD execute_ec2_training_test(ec2_connection, tensorflow_training, test_script) @pytest.mark.parametrize("ec2_instance_type", [TF_EC2_CPU_INSTANCE_TYPE], indirect=True) def test_tensorflow_with_horovod_cpu(tensorflow_training, ec2_connection, cpu_only): test_script = TF1_HVD_CMD if is_tf1(tensorflow_training) else TF2_HVD_CMD execute_ec2_training_test(ec2_connection, tensorflow_training, test_script) @pytest.mark.parametrize("ec2_instance_type", [TF_EC2_GPU_INSTANCE_TYPE], indirect=True) def test_tensorflow_opencv_gpu(tensorflow_training, ec2_connection, gpu_only): if is_tf1(tensorflow_training): pytest.skip("This test is for TF2 only") execute_ec2_training_test(ec2_connection, tensorflow_training, TF_OPENCV_CMD) @pytest.mark.parametrize("ec2_instance_type", [TF_EC2_CPU_INSTANCE_TYPE], indirect=True) def test_tensorflow_opencv_cpu(tensorflow_training, ec2_connection, cpu_only): if is_tf1(tensorflow_training): pytest.skip("This test is for TF2 only") execute_ec2_training_test(ec2_connection, tensorflow_training, TF_OPENCV_CMD)

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f007c539e36efa8cdf1d7475bfa01e6fd5a6a927

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py

Python

dskc/visualization/graphs/types/bars/__init__.py

NovaSBE-DSKC/predict-campaing-sucess-rate

fec339aee7c883f55d64130eb69e490f765ee27d

[ "MIT" ]

null

dskc/visualization/graphs/types/bars/__init__.py

NovaSBE-DSKC/predict-campaing-sucess-rate

fec339aee7c883f55d64130eb69e490f765ee27d

[ "MIT" ]

null

dskc/visualization/graphs/types/bars/__init__.py

NovaSBE-DSKC/predict-campaing-sucess-rate

fec339aee7c883f55d64130eb69e490f765ee27d

[ "MIT" ]

null

from .multiple_variables import * from .one_variable import * from dskc.visualization.graphs.types.bars.target import *

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f06a91e8d6c12d9fed1a162d885a8e95768f12e9

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py

Python

unn/models/heads/attribute_head/__init__.py

zongdaoming/TinyTransformer

8e64f8816117048c388b4b20e3a56760ce149fe3

[ "Apache-2.0" ]

2

2021-08-08T11:23:14.000Z

2021-09-16T04:05:23.000Z

unn/models/heads/attribute_head/__init__.py

zongdaoming/TinyTransformer

8e64f8816117048c388b4b20e3a56760ce149fe3

[ "Apache-2.0" ]

1

2021-08-08T11:25:47.000Z

2021-08-08T11:26:15.000Z

unn/models/heads/attribute_head/__init__.py

zongdaoming/TinyTransformer

8e64f8816117048c388b4b20e3a56760ce149fe3

[ "Apache-2.0" ]

null

from .attribute_head import *

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b2bd5e4cb61c61fbad9cd22ef0ac8515ab9824dd

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py

Python

application/urls.py

Falldog/appengine-flask-template-light

b87b73b1d1862db6dbb388fee716b60d29b3b10c

[ "Apache-2.0" ]

null

application/urls.py

Falldog/appengine-flask-template-light

b87b73b1d1862db6dbb388fee716b60d29b3b10c

[ "Apache-2.0" ]

null

application/urls.py

Falldog/appengine-flask-template-light

b87b73b1d1862db6dbb388fee716b60d29b3b10c

[ "Apache-2.0" ]

null

from application import app from application import views app.add_url_rule('/', 'index', views.index)

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b2ce9a5a2d96a6c62e907a5933b13b1b19c0b521

27

py

Python

arq.py

jonfisik/cmd-git

8cff22e5fe91243bee963decb269c2986ed8f85c

[ "MIT" ]

1

2020-09-05T22:25:48.000Z

arq.py

jonfisik/cmd-git

8cff22e5fe91243bee963decb269c2986ed8f85c

[ "MIT" ]

null

arq.py

jonfisik/cmd-git

8cff22e5fe91243bee963decb269c2986ed8f85c

[ "MIT" ]

1

2020-07-22T00:37:46.000Z

print('Ola mundo git!!!!')

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6

3312edc77b51243c16e3b5e471a66aed3c50cd5e

163

py

Python

ccbrowse/storage/null.py

peterkuma/ccbrowse

19d93108d55badf983fda29497b523f59b4f1231

[ "MIT" ]

4

2022-02-06T17:22:04.000Z

2022-03-09T03:15:11.000Z

ccbrowse/storage/null.py

peterkuma/ccbrowse

19d93108d55badf983fda29497b523f59b4f1231

[ "MIT" ]

null

ccbrowse/storage/null.py

peterkuma/ccbrowse

19d93108d55badf983fda29497b523f59b4f1231

[ "MIT" ]

null

from .driver import Driver class NullDriver(Driver): def store(self, obj): pass def retrieve(self, obj, exclude=[]): return None

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py

Python

venv/lib/python3.8/site-packages/numpy/polynomial/tests/test_polyutils.py

Retraces/UkraineBot

3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/numpy/polynomial/tests/test_polyutils.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/numpy/polynomial/tests/test_polyutils.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/23/19/1b/55fa5c06a7b994e665b871543db2c04cbbb5af0560ee084b012a5f62b6

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6

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py

Python

allure-pytest/test/plugin/register_unregister/sample.py

vdsbenoit/allure-python

7b56b031c42369dd73844105382e9ceb9a88d6cd

[ "Apache-2.0" ]

1

2021-02-19T21:00:11.000Z

allure-pytest/test/plugin/register_unregister/sample.py

vdsbenoit/allure-python

7b56b031c42369dd73844105382e9ceb9a88d6cd

[ "Apache-2.0" ]

null

allure-pytest/test/plugin/register_unregister/sample.py

vdsbenoit/allure-python

7b56b031c42369dd73844105382e9ceb9a88d6cd

[ "Apache-2.0" ]

1

2020-08-05T05:40:44.000Z

import allure def test_sample(): allure.attach('Peace!!!')

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py

Python

collaborator_app/admin.py

calixo888/collaboratory

087c6454f9f7581c16798b8a8fa697509894d9cc

[ "FTL" ]

null

collaborator_app/admin.py

calixo888/collaboratory

087c6454f9f7581c16798b8a8fa697509894d9cc

[ "FTL" ]

5

2020-06-05T23:35:48.000Z

2021-06-09T18:30:56.000Z

collaborator_app/admin.py

calixo888/collaboratory

087c6454f9f7581c16798b8a8fa697509894d9cc

[ "FTL" ]

null

from django.contrib import admin from . import models # Register your models here. admin.site.register(models.UserProfile) admin.site.register(models.Project) admin.site.register(models.ToDoListItem)

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py

Python

__init__.py

KasperskyZiv/DMG_utils

d520f372d3e7ea9aa9f569fc49b85a75ad98eadd

[ "Apache-2.0" ]

2

2020-07-01T08:32:40.000Z

2021-04-12T02:26:31.000Z

__init__.py

KasperskyZiv/osx_utils

d520f372d3e7ea9aa9f569fc49b85a75ad98eadd

[ "Apache-2.0" ]

null

__init__.py

KasperskyZiv/osx_utils

d520f372d3e7ea9aa9f569fc49b85a75ad98eadd

[ "Apache-2.0" ]

null

from dmg import DMG from utils import *

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py

Python

src/django_reactive_framework/core/reactive_binary_operators.py

Tal500/django-reactive-framework

aa691d245515f504794d0f6f9a2087077e25a68b

[ "MIT" ]

null

src/django_reactive_framework/core/reactive_binary_operators.py

Tal500/django-reactive-framework

aa691d245515f504794d0f6f9a2087077e25a68b

[ "MIT" ]

18

2021-09-05T09:40:11.000Z

2021-10-05T20:04:34.000Z

src/django_reactive_framework/core/reactive_binary_operators.py

Tal500/django-reactive

aa691d245515f504794d0f6f9a2087077e25a68b

[ "MIT" ]

null

from abc import abstractmethod from typing import Dict, List from django import template from .base import ReactContext, ReactValType from .expressions.interfaces import Expression from .utils import manual_non_empty_sum class ReactiveBinaryOperator: operators: Dict[str, 'ReactiveBinaryOperator'] = dict() def validate_args(self, args: List['Expression']) -> None: if len(args) < 2: raise Exception(f'Internal Reactive Error: Not enough args for binary operator! Args: {args}') def eval_initial_from_values(self, vals: List['ReactValType']) -> 'ReactValType': pass def eval_js_from_js(self, js_expressions: List[str], delimiter: str) -> str: pass def eval_initial(self, reactive_context: 'ReactContext', args: List['Expression']) -> 'ReactValType': self.validate_args(args) vals = [arg.eval_initial(reactive_context) for arg in args] return self.eval_initial_from_values(vals) def eval_js(self, reactive_context: 'ReactContext', args: List['Expression'], delimiter: str) -> str: self.validate_args(args) vals = [arg.eval_js_and_hooks(reactive_context, delimiter)[0] for arg in args] return self.eval_js_from_js(vals, delimiter) class StrictEqualityOperator(ReactiveBinaryOperator): def validate_args(self, args: List['Expression']) -> None: if len(args) != 2: raise template.TemplateSyntaxError(f'Strict equality operator must have exactly two args! Args: {args}') def eval_initial_from_values(self, vals: List['ReactValType']) -> 'ReactValType': lhs_val, rhs_val = vals result = lhs_val is rhs_val if not result and isinstance(lhs_val, str) and isinstance(rhs_val, str): result = (lhs_val == rhs_val) return result def eval_js_from_js(self, js_expressions: List[str], delimiter: str) -> str: lhs_js, rhs_js = js_expressions return f'({lhs_js}==={rhs_js})' ReactiveBinaryOperator.operators['==='] = StrictEqualityOperator() class StrictInequalityOperator(ReactiveBinaryOperator): def validate_args(self, args: List['Expression']) -> None: if len(args) != 2: raise template.TemplateSyntaxError(f'Strict inequality operator must have exactly two args! Args: {args}') def eval_initial_from_values(self, vals: List['ReactValType']) -> 'ReactValType': lhs_val, rhs_val = vals result = lhs_val is not rhs_val if result and isinstance(lhs_val, str) and isinstance(rhs_val, str): result = (lhs_val != rhs_val) return result def eval_js_from_js(self, js_expressions: List[str], delimiter: str) -> str: lhs_js, rhs_js = js_expressions return f'({lhs_js}!=={rhs_js})' ReactiveBinaryOperator.operators['!=='] = StrictInequalityOperator() class BoolComparingOperator(ReactiveBinaryOperator): @abstractmethod def eval_initial_from_values(self, vals: List[bool]) -> bool: pass def eval_initial(self, reactive_context: 'ReactContext', args: List['Expression']) -> bool: return super().eval_initial(reactive_context, args) class AndOperator(BoolComparingOperator): def eval_initial_from_values(self, vals: List[bool]) -> bool: for val in vals: if val is False: return False # otherwise return True def eval_js_from_js(self, js_expressions: List[str], delimiter: str) -> str: return '&&'.join(js_expressions) ReactiveBinaryOperator.operators['&&'] = AndOperator() class OrOperator(BoolComparingOperator): def eval_initial_from_values(self, vals: List[bool]) -> bool: for val in vals: if val is True: return True # otherwise return False def eval_js_from_js(self, js_expressions: List[str], delimiter: str) -> str: return '||'.join(js_expressions) ReactiveBinaryOperator.operators['||'] = OrOperator() class NumberInequalityOperator(ReactiveBinaryOperator): @abstractmethod def eval_initial_from_two_values(self, lhs_val: int, rhs_val: int) -> bool: pass @abstractmethod def eval_js_from_two_js(self, lhs_js: List[str], rhs_js: List[str], delimiter: str) -> str: pass def validate_args(self, args: List['Expression']): super().validate_args(args) if len(args) != 2: raise template.TemplateSyntaxError(f'Number inequality operators must have exactly two args! Args: {args}') def eval_initial_from_values(self, vals: List[int]) -> bool: return self.eval_initial_from_two_values(vals[0], vals[1]) def eval_js_from_js(self, js_expressions: List[str], delimiter: str) -> str: return self.eval_js_from_two_js(js_expressions[0], js_expressions[1], delimiter) def eval_initial(self, reactive_context: 'ReactContext', args: List['Expression']) -> bool: self.validate_args(args) vals = [arg.eval_initial(reactive_context) for arg in args] for i, val in enumerate(vals): if not isinstance(val, int): raise template.TemplateSyntaxError(f'Error: Argument {i} value isn\'t int in number inequality operator. ' + \ f'argument value: {val}, ' + f'argument expression: {args[i]}') return self.eval_initial_from_values(vals) class GreaterOrEqualOperator(NumberInequalityOperator): def eval_initial_from_two_values(self, lhs_val: 'ReactValType', rhs_val: 'ReactValType') -> bool: return lhs_val >= rhs_val def eval_js_from_two_js(self, lhs_js: str, rhs_js: str, delimiter: str) -> str: return f'{lhs_js}>={rhs_js}' ReactiveBinaryOperator.operators['>='] = GreaterOrEqualOperator() class LessOrEqualOperator(NumberInequalityOperator): def eval_initial_from_two_values(self, lhs_val: 'ReactValType', rhs_val: 'ReactValType') -> bool: return lhs_val <= rhs_val def eval_js_from_two_js(self, lhs_js: str, rhs_js: str, delimiter: str) -> str: return f'{lhs_js}<={rhs_js}' ReactiveBinaryOperator.operators['<='] = LessOrEqualOperator() # Notice that >= and <= must be registered before > and <, for best matching class GreaterOperator(NumberInequalityOperator): def eval_initial_from_two_values(self, lhs_val: int, rhs_val: int) -> bool: return lhs_val > rhs_val def eval_js_from_two_js(self, lhs_js: str, rhs_js: str, delimiter: str) -> str: return f'{lhs_js}>{rhs_js}' ReactiveBinaryOperator.operators['>'] = GreaterOperator() class LessOperator(NumberInequalityOperator): def eval_initial_from_value(self, lhs_val: 'ReactValType', rhs_val: 'ReactValType') -> bool: return lhs_val < rhs_val def eval_js_from_two_js(self, lhs_js: str, rhs_js: str, delimiter: str) -> str: return f'{lhs_js}<{rhs_js}' ReactiveBinaryOperator.operators['<'] = LessOperator() class SumOperator(ReactiveBinaryOperator): def eval_initial_from_values(self, vals: List['ReactValType']) -> 'ReactValType': return manual_non_empty_sum(vals) def eval_js_from_js(self, js_expressions: List[str], delimiter: str) -> str: return '+'.join(js_expressions) ReactiveBinaryOperator.operators['+'] = SumOperator() class SubstructOperator(ReactiveBinaryOperator): def eval_initial_from_values(self, vals: List['ReactValType']) -> 'ReactValType': result = vals[0] for val in vals[1:]: result -= val return result def eval_js_from_js(self, js_expressions: List[str], delimiter: str) -> str: return '-'.join(js_expressions) ReactiveBinaryOperator.operators['-'] = SubstructOperator() class MultiplyOperator(ReactiveBinaryOperator): def eval_initial_from_values(self, vals: List['ReactValType']) -> 'ReactValType': result = vals[0] for val in vals[1:]: result *= val return result def eval_js_from_js(self, js_expressions: List[str], delimiter: str) -> str: return '*'.join(js_expressions) ReactiveBinaryOperator.operators['*'] = MultiplyOperator() class DivideOperator(ReactiveBinaryOperator): def eval_initial_from_values(self, vals: List['ReactValType']) -> 'ReactValType': result = vals[0] for val in vals[1:]: result /= val return result def eval_js_from_js(self, js_expressions: List[str], delimiter: str) -> str: return '/'.join(js_expressions) ReactiveBinaryOperator.operators['/'] = DivideOperator()

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Python

tests/test_check_runs.py

cclauss/algobot

f131905c9f4f7e7c8d6d3a85023ac9eb668ba522

[ "MIT" ]

null

tests/test_check_runs.py

cclauss/algobot

f131905c9f4f7e7c8d6d3a85023ac9eb668ba522

[ "MIT" ]

null

tests/test_check_runs.py

cclauss/algobot

f131905c9f4f7e7c8d6d3a85023ac9eb668ba522

[ "MIT" ]

null

import pytest from _pytest.monkeypatch import MonkeyPatch from gidgethub import apps, sansio from algobot import check_runs from algobot.check_runs import FAILURE_LABEL from .utils import MOCK_INSTALLATION_ID, MockGitHubAPI, mock_return def setup_module(module, monkeypatch=MonkeyPatch()): """Monkeypatch for this module to store the MOCK_TOKEN in cache. We cannot use `pytest.fixture(scope="module")` as `monkeypatch` fixture only works at function level (this is a module level setup function), so we will directly use the MonkeyPatch class where the fixture is generated from and pass it as the default argument to this function. This will only be executed once in this module, storing the token in the cache for later use. """ monkeypatch.setattr(apps, "get_installation_access_token", mock_return) @pytest.mark.asyncio async def test_check_run_created(): repository = "TheAlgorithms/Python" data = { "action": "created", "check_run": { "status": "queued", "conclusion": None, }, "name": "pre-commit", "repository": {"full_name": repository}, "installation": {"id": MOCK_INSTALLATION_ID}, } event = sansio.Event(data, event="check_run", delivery_id="1") gh = MockGitHubAPI() result = await check_runs.router.dispatch(event, gh) assert result is None @pytest.mark.asyncio async def test_check_run_not_from_pr_commit(): sha = "a06212064d8e1c349c75c5ea4568ecf155368c21" repository = "TheAlgorithms/Python" data = { "action": "completed", "check_run": { "head_sha": sha, "status": "completed", "conclusion": "success", }, "name": "pre-commit", "repository": {"full_name": repository}, "installation": {"id": MOCK_INSTALLATION_ID}, } event = sansio.Event(data, event="check_run", delivery_id="2") getitem = { f"/search/issues?q=type:pr+repo:{repository}+sha:{sha}": { "total_count": 0, "incomplete_results": False, "items": [], } } gh = MockGitHubAPI(getitem=getitem) result = await check_runs.router.dispatch(event, gh) assert gh.getitem_url == f"/search/issues?q=type:pr+repo:{repository}+sha:{sha}" assert result is None @pytest.mark.asyncio async def test_check_run_completed_some_in_progress(): sha = "a06212064d8e1c349c75c5ea4568ecf155368c21" repository = "TheAlgorithms/Python" data = { "action": "completed", "check_run": { "head_sha": sha, "status": "completed", "conclusion": "cancelled", }, "name": "validate-solutions", "repository": {"full_name": repository}, "installation": {"id": MOCK_INSTALLATION_ID}, } event = sansio.Event(data, event="check_run", delivery_id="3") getitem = { f"/search/issues?q=type:pr+repo:{repository}+sha:{sha}": { "total_count": 1, "incomplete_results": False, "items": [ { "number": 3378, "title": "Create GitHub action only for Project Euler", "state": "open", "labels": [ {"name": "Status: awaiting reviews"}, ], } ], }, f"/repos/{repository}/commits/{sha}/check-runs": { "total_count": 2, "check_runs": [ { "status": "completed", "conclusion": "cancelled", "name": "validate-solutions", }, { "status": "in_progress", "conclusion": None, "name": "pre-commit", }, ], }, } gh = MockGitHubAPI(getitem=getitem) result = await check_runs.router.dispatch(event, gh) assert result is None assert gh.post_data is None # does not add any label assert gh.post_url is None assert gh.delete_url is None # does not delete any label @pytest.mark.asyncio async def test_check_run_completed_passing_no_label(): sha = "a06212064d8e1c349c75c5ea4568ecf155368c21" repository = "TheAlgorithms/Python" data = { "action": "completed", "check_run": { "head_sha": sha, "status": "completed", "conclusion": "success", }, "name": "validate-solutions", "repository": {"full_name": repository}, "installation": {"id": MOCK_INSTALLATION_ID}, } event = sansio.Event(data, event="check_run", delivery_id="4") getitem = { f"/search/issues?q=type:pr+repo:{repository}+sha:{sha}": { "total_count": 1, "incomplete_results": False, "items": [ { "number": 3378, "title": "Create GitHub action only for Project Euler", "state": "open", "labels": [ {"name": "Status: awaiting reviews"}, ], } ], }, f"/repos/{repository}/commits/{sha}/check-runs": { "total_count": 2, "check_runs": [ { "status": "completed", "conclusion": "success", "name": "validate-solutions", }, { "status": "completed", "conclusion": "skipped", "name": "pre-commit", }, ], }, } gh = MockGitHubAPI(getitem=getitem) result = await check_runs.router.dispatch(event, gh) assert result is None assert gh.post_data is None # does not add any label assert gh.post_url is None assert gh.delete_url is None # does not delete any label @pytest.mark.asyncio async def test_check_run_completed_passing_with_label(): sha = "a06212064d8e1c349c75c5ea4568ecf155368c21" repository = "TheAlgorithms/Python" data = { "action": "completed", "check_run": { "head_sha": sha, "status": "completed", "conclusion": "action_required", }, "name": "validate-solutions", "repository": {"full_name": repository}, "installation": {"id": MOCK_INSTALLATION_ID}, } event = sansio.Event(data, event="check_run", delivery_id="5") getitem = { f"/search/issues?q=type:pr+repo:{repository}+sha:{sha}": { "total_count": 1, "incomplete_results": False, "items": [ { "number": 3378, "title": "Create GitHub action only for Project Euler", "state": "open", "labels": [ {"name": "Status: awaiting reviews"}, {"name": FAILURE_LABEL}, ], } ], }, f"/repos/{repository}/commits/{sha}/check-runs": { "total_count": 2, "check_runs": [ { "status": "completed", "conclusion": "action_required", "name": "validate-solutions", }, { "status": "completed", "conclusion": "success", "name": "pre-commit", }, ], }, } delete = [{"name": "Status: awaiting reviews"}] gh = MockGitHubAPI(getitem=getitem, delete=delete) result = await check_runs.router.dispatch(event, gh) assert result is None assert gh.post_data is None # does not add any label assert ( gh.delete_url == f"/repos/{repository}/issues/3378/labels/Status%3A%20Tests%20are%20failing" ) @pytest.mark.asyncio async def test_check_run_completed_failing_no_label(): sha = "a06212064d8e1c349c75c5ea4568ecf155368c21" repository = "TheAlgorithms/Python" data = { "action": "completed", "check_run": { "head_sha": sha, "status": "completed", "conclusion": "success", }, "name": "validate-solutions", "repository": {"full_name": repository}, "installation": {"id": MOCK_INSTALLATION_ID}, } event = sansio.Event(data, event="check_run", delivery_id="6") getitem = { f"/search/issues?q=type:pr+repo:{repository}+sha:{sha}": { "total_count": 1, "incomplete_results": False, "items": [ { "number": 3378, "title": "Create GitHub action only for Project Euler", "state": "open", "labels": [ {"name": "Status: awaiting reviews"}, ], } ], }, f"/repos/{repository}/commits/{sha}/check-runs": { "total_count": 2, "check_runs": [ { "status": "completed", "conclusion": "success", "name": "validate-solutions", }, { "status": "completed", "conclusion": "failure", "name": "pre-commit", }, ], }, } post = [ {"name": "Status: awaiting reviews"}, {"name": FAILURE_LABEL}, ] gh = MockGitHubAPI(getitem=getitem, post=post) result = await check_runs.router.dispatch(event, gh) assert result is None assert gh.delete_url is None # does not delete any label assert gh.post_url == f"/repos/{repository}/issues/3378/labels" assert gh.post_data == {"labels": [FAILURE_LABEL]} @pytest.mark.asyncio async def test_check_run_completed_failing_with_label(): sha = "a06212064d8e1c349c75c5ea4568ecf155368c21" repository = "TheAlgorithms/Python" data = { "action": "completed", "check_run": { "head_sha": sha, "status": "completed", "conclusion": "timed_out", }, "name": "Travis CI - Pull Request", "repository": {"full_name": repository}, "installation": {"id": MOCK_INSTALLATION_ID}, } event = sansio.Event(data, event="check_run", delivery_id="7") getitem = { f"/search/issues?q=type:pr+repo:{repository}+sha:{sha}": { "total_count": 1, "incomplete_results": False, "items": [ { "number": 3378, "title": "Create GitHub action only for Project Euler", "state": "open", "labels": [ {"name": "Status: awaiting reviews"}, {"name": FAILURE_LABEL}, ], } ], }, f"/repos/{repository}/commits/{sha}/check-runs": { "total_count": 2, "check_runs": [ { "status": "completed", "conclusion": "timed_out", "name": "Travis CI - Pull Request", }, { "status": "completed", "conclusion": "success", "name": "pre-commit", }, ], }, } gh = MockGitHubAPI(getitem=getitem) result = await check_runs.router.dispatch(event, gh) assert result is None assert gh.post_data is None # does not add any label assert gh.post_url is None assert gh.delete_url is None # does not delete any label

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0bce53594a39ef59f862faf282ceec7e298c71a5

19,536

py

Python

sdk/python/pulumi_gcp/bigquery/table.py

pellizzetti/pulumi-gcp

fad74dd55a0cf7723f73046bb0e6fcbfd948ba84

[ "ECL-2.0", "Apache-2.0" ]

1

2019-12-20T22:08:20.000Z

sdk/python/pulumi_gcp/bigquery/table.py

pellizzetti/pulumi-gcp

fad74dd55a0cf7723f73046bb0e6fcbfd948ba84

[ "ECL-2.0", "Apache-2.0" ]

null

sdk/python/pulumi_gcp/bigquery/table.py

pellizzetti/pulumi-gcp

fad74dd55a0cf7723f73046bb0e6fcbfd948ba84

[ "ECL-2.0", "Apache-2.0" ]

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import json import warnings import pulumi import pulumi.runtime from typing import Union from .. import utilities, tables class Table(pulumi.CustomResource): clusterings: pulumi.Output[list] """ Specifies column names to use for data clustering. Up to four top-level columns are allowed, and should be specified in descending priority order. """ creation_time: pulumi.Output[float] """ The time when this table was created, in milliseconds since the epoch. """ dataset_id: pulumi.Output[str] """ The dataset ID to create the table in. Changing this forces a new resource to be created. """ description: pulumi.Output[str] """ The field description. """ encryption_configuration: pulumi.Output[dict] """ Specifies how the table should be encrypted. If left blank, the table will be encrypted with a Google-managed key; that process is transparent to the user. Structure is documented below. * `kmsKeyName` (`str`) """ etag: pulumi.Output[str] """ A hash of the resource. """ expiration_time: pulumi.Output[float] """ The time when this table expires, in milliseconds since the epoch. If not present, the table will persist indefinitely. Expired tables will be deleted and their storage reclaimed. """ external_data_configuration: pulumi.Output[dict] """ Describes the data format, location, and other properties of a table stored outside of BigQuery. By defining these properties, the data source can then be queried as if it were a standard BigQuery table. Structure is documented below. * `autodetect` (`bool`) * `compression` (`str`) * `csvOptions` (`dict`) * `allowJaggedRows` (`bool`) * `allowQuotedNewlines` (`bool`) * `encoding` (`str`) * `fieldDelimiter` (`str`) * `quote` (`str`) * `skipLeadingRows` (`float`) * `googleSheetsOptions` (`dict`) * `range` (`str`) * `skipLeadingRows` (`float`) * `ignoreUnknownValues` (`bool`) * `maxBadRecords` (`float`) * `sourceFormat` (`str`) * `sourceUris` (`list`) """ friendly_name: pulumi.Output[str] """ A descriptive name for the table. """ labels: pulumi.Output[dict] """ A mapping of labels to assign to the resource. """ last_modified_time: pulumi.Output[float] """ The time when this table was last modified, in milliseconds since the epoch. """ location: pulumi.Output[str] """ The geographic location where the table resides. This value is inherited from the dataset. """ num_bytes: pulumi.Output[float] """ The size of this table in bytes, excluding any data in the streaming buffer. """ num_long_term_bytes: pulumi.Output[float] """ The number of bytes in the table that are considered "long-term storage". """ num_rows: pulumi.Output[float] """ The number of rows of data in this table, excluding any data in the streaming buffer. """ project: pulumi.Output[str] """ The ID of the project in which the resource belongs. If it is not provided, the provider project is used. """ schema: pulumi.Output[str] """ A JSON schema for the table. Schema is required for CSV and JSON formats and is disallowed for Google Cloud Bigtable, Cloud Datastore backups, and Avro formats when using external tables. For more information see the [BigQuery API documentation](https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#resource). """ self_link: pulumi.Output[str] """ The URI of the created resource. """ table_id: pulumi.Output[str] """ A unique ID for the resource. Changing this forces a new resource to be created. """ time_partitioning: pulumi.Output[dict] """ If specified, configures time-based partitioning for this table. Structure is documented below. * `expirationMs` (`float`) * `field` (`str`) * `requirePartitionFilter` (`bool`) * `type` (`str`) - Describes the table type. """ type: pulumi.Output[str] """ Describes the table type. """ view: pulumi.Output[dict] """ If specified, configures this table as a view. Structure is documented below. * `query` (`str`) * `useLegacySql` (`bool`) """ def __init__(__self__, resource_name, opts=None, clusterings=None, dataset_id=None, description=None, encryption_configuration=None, expiration_time=None, external_data_configuration=None, friendly_name=None, labels=None, project=None, schema=None, table_id=None, time_partitioning=None, view=None, __props__=None, __name__=None, __opts__=None): """ Creates a table resource in a dataset for Google BigQuery. For more information see [the official documentation](https://cloud.google.com/bigquery/docs/) and [API](https://cloud.google.com/bigquery/docs/reference/rest/v2/tables). :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[list] clusterings: Specifies column names to use for data clustering. Up to four top-level columns are allowed, and should be specified in descending priority order. :param pulumi.Input[str] dataset_id: The dataset ID to create the table in. Changing this forces a new resource to be created. :param pulumi.Input[str] description: The field description. :param pulumi.Input[dict] encryption_configuration: Specifies how the table should be encrypted. If left blank, the table will be encrypted with a Google-managed key; that process is transparent to the user. Structure is documented below. :param pulumi.Input[float] expiration_time: The time when this table expires, in milliseconds since the epoch. If not present, the table will persist indefinitely. Expired tables will be deleted and their storage reclaimed. :param pulumi.Input[dict] external_data_configuration: Describes the data format, location, and other properties of a table stored outside of BigQuery. By defining these properties, the data source can then be queried as if it were a standard BigQuery table. Structure is documented below. :param pulumi.Input[str] friendly_name: A descriptive name for the table. :param pulumi.Input[dict] labels: A mapping of labels to assign to the resource. :param pulumi.Input[str] project: The ID of the project in which the resource belongs. If it is not provided, the provider project is used. :param pulumi.Input[str] schema: A JSON schema for the table. Schema is required for CSV and JSON formats and is disallowed for Google Cloud Bigtable, Cloud Datastore backups, and Avro formats when using external tables. For more information see the [BigQuery API documentation](https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#resource). :param pulumi.Input[str] table_id: A unique ID for the resource. Changing this forces a new resource to be created. :param pulumi.Input[dict] time_partitioning: If specified, configures time-based partitioning for this table. Structure is documented below. :param pulumi.Input[dict] view: If specified, configures this table as a view. Structure is documented below. The **encryption_configuration** object supports the following: * `kmsKeyName` (`pulumi.Input[str]`) The **external_data_configuration** object supports the following: * `autodetect` (`pulumi.Input[bool]`) * `compression` (`pulumi.Input[str]`) * `csvOptions` (`pulumi.Input[dict]`) * `allowJaggedRows` (`pulumi.Input[bool]`) * `allowQuotedNewlines` (`pulumi.Input[bool]`) * `encoding` (`pulumi.Input[str]`) * `fieldDelimiter` (`pulumi.Input[str]`) * `quote` (`pulumi.Input[str]`) * `skipLeadingRows` (`pulumi.Input[float]`) * `googleSheetsOptions` (`pulumi.Input[dict]`) * `range` (`pulumi.Input[str]`) * `skipLeadingRows` (`pulumi.Input[float]`) * `ignoreUnknownValues` (`pulumi.Input[bool]`) * `maxBadRecords` (`pulumi.Input[float]`) * `sourceFormat` (`pulumi.Input[str]`) * `sourceUris` (`pulumi.Input[list]`) The **time_partitioning** object supports the following: * `expirationMs` (`pulumi.Input[float]`) * `field` (`pulumi.Input[str]`) * `requirePartitionFilter` (`pulumi.Input[bool]`) * `type` (`pulumi.Input[str]`) - Describes the table type. The **view** object supports the following: * `query` (`pulumi.Input[str]`) * `useLegacySql` (`pulumi.Input[bool]`) > This content is derived from https://github.com/terraform-providers/terraform-provider-google/blob/master/website/docs/r/bigquery_table.html.markdown. """ if __name__ is not None: warnings.warn("explicit use of __name__ is deprecated", DeprecationWarning) resource_name = __name__ if __opts__ is not None: warnings.warn("explicit use of __opts__ is deprecated, use 'opts' instead", DeprecationWarning) opts = __opts__ if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = dict() __props__['clusterings'] = clusterings if dataset_id is None: raise TypeError("Missing required property 'dataset_id'") __props__['dataset_id'] = dataset_id __props__['description'] = description __props__['encryption_configuration'] = encryption_configuration __props__['expiration_time'] = expiration_time __props__['external_data_configuration'] = external_data_configuration __props__['friendly_name'] = friendly_name __props__['labels'] = labels __props__['project'] = project __props__['schema'] = schema if table_id is None: raise TypeError("Missing required property 'table_id'") __props__['table_id'] = table_id __props__['time_partitioning'] = time_partitioning __props__['view'] = view __props__['creation_time'] = None __props__['etag'] = None __props__['last_modified_time'] = None __props__['location'] = None __props__['num_bytes'] = None __props__['num_long_term_bytes'] = None __props__['num_rows'] = None __props__['self_link'] = None __props__['type'] = None super(Table, __self__).__init__( 'gcp:bigquery/table:Table', resource_name, __props__, opts) @staticmethod def get(resource_name, id, opts=None, clusterings=None, creation_time=None, dataset_id=None, description=None, encryption_configuration=None, etag=None, expiration_time=None, external_data_configuration=None, friendly_name=None, labels=None, last_modified_time=None, location=None, num_bytes=None, num_long_term_bytes=None, num_rows=None, project=None, schema=None, self_link=None, table_id=None, time_partitioning=None, type=None, view=None): """ Get an existing Table resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param str id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[list] clusterings: Specifies column names to use for data clustering. Up to four top-level columns are allowed, and should be specified in descending priority order. :param pulumi.Input[float] creation_time: The time when this table was created, in milliseconds since the epoch. :param pulumi.Input[str] dataset_id: The dataset ID to create the table in. Changing this forces a new resource to be created. :param pulumi.Input[str] description: The field description. :param pulumi.Input[dict] encryption_configuration: Specifies how the table should be encrypted. If left blank, the table will be encrypted with a Google-managed key; that process is transparent to the user. Structure is documented below. :param pulumi.Input[str] etag: A hash of the resource. :param pulumi.Input[float] expiration_time: The time when this table expires, in milliseconds since the epoch. If not present, the table will persist indefinitely. Expired tables will be deleted and their storage reclaimed. :param pulumi.Input[dict] external_data_configuration: Describes the data format, location, and other properties of a table stored outside of BigQuery. By defining these properties, the data source can then be queried as if it were a standard BigQuery table. Structure is documented below. :param pulumi.Input[str] friendly_name: A descriptive name for the table. :param pulumi.Input[dict] labels: A mapping of labels to assign to the resource. :param pulumi.Input[float] last_modified_time: The time when this table was last modified, in milliseconds since the epoch. :param pulumi.Input[str] location: The geographic location where the table resides. This value is inherited from the dataset. :param pulumi.Input[float] num_bytes: The size of this table in bytes, excluding any data in the streaming buffer. :param pulumi.Input[float] num_long_term_bytes: The number of bytes in the table that are considered "long-term storage". :param pulumi.Input[float] num_rows: The number of rows of data in this table, excluding any data in the streaming buffer. :param pulumi.Input[str] project: The ID of the project in which the resource belongs. If it is not provided, the provider project is used. :param pulumi.Input[str] schema: A JSON schema for the table. Schema is required for CSV and JSON formats and is disallowed for Google Cloud Bigtable, Cloud Datastore backups, and Avro formats when using external tables. For more information see the [BigQuery API documentation](https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#resource). :param pulumi.Input[str] self_link: The URI of the created resource. :param pulumi.Input[str] table_id: A unique ID for the resource. Changing this forces a new resource to be created. :param pulumi.Input[dict] time_partitioning: If specified, configures time-based partitioning for this table. Structure is documented below. :param pulumi.Input[str] type: Describes the table type. :param pulumi.Input[dict] view: If specified, configures this table as a view. Structure is documented below. The **encryption_configuration** object supports the following: * `kmsKeyName` (`pulumi.Input[str]`) The **external_data_configuration** object supports the following: * `autodetect` (`pulumi.Input[bool]`) * `compression` (`pulumi.Input[str]`) * `csvOptions` (`pulumi.Input[dict]`) * `allowJaggedRows` (`pulumi.Input[bool]`) * `allowQuotedNewlines` (`pulumi.Input[bool]`) * `encoding` (`pulumi.Input[str]`) * `fieldDelimiter` (`pulumi.Input[str]`) * `quote` (`pulumi.Input[str]`) * `skipLeadingRows` (`pulumi.Input[float]`) * `googleSheetsOptions` (`pulumi.Input[dict]`) * `range` (`pulumi.Input[str]`) * `skipLeadingRows` (`pulumi.Input[float]`) * `ignoreUnknownValues` (`pulumi.Input[bool]`) * `maxBadRecords` (`pulumi.Input[float]`) * `sourceFormat` (`pulumi.Input[str]`) * `sourceUris` (`pulumi.Input[list]`) The **time_partitioning** object supports the following: * `expirationMs` (`pulumi.Input[float]`) * `field` (`pulumi.Input[str]`) * `requirePartitionFilter` (`pulumi.Input[bool]`) * `type` (`pulumi.Input[str]`) - Describes the table type. The **view** object supports the following: * `query` (`pulumi.Input[str]`) * `useLegacySql` (`pulumi.Input[bool]`) > This content is derived from https://github.com/terraform-providers/terraform-provider-google/blob/master/website/docs/r/bigquery_table.html.markdown. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = dict() __props__["clusterings"] = clusterings __props__["creation_time"] = creation_time __props__["dataset_id"] = dataset_id __props__["description"] = description __props__["encryption_configuration"] = encryption_configuration __props__["etag"] = etag __props__["expiration_time"] = expiration_time __props__["external_data_configuration"] = external_data_configuration __props__["friendly_name"] = friendly_name __props__["labels"] = labels __props__["last_modified_time"] = last_modified_time __props__["location"] = location __props__["num_bytes"] = num_bytes __props__["num_long_term_bytes"] = num_long_term_bytes __props__["num_rows"] = num_rows __props__["project"] = project __props__["schema"] = schema __props__["self_link"] = self_link __props__["table_id"] = table_id __props__["time_partitioning"] = time_partitioning __props__["type"] = type __props__["view"] = view return Table(resource_name, opts=opts, __props__=__props__) def translate_output_property(self, prop): return tables._CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop def translate_input_property(self, prop): return tables._SNAKE_TO_CAMEL_CASE_TABLE.get(prop) or prop

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1

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null

0

6

045e518ca6775d782dbfeafdb884c8e7e7bd2ffa

5,474

py

Python

symbol/transform_nets.py

Zehaos/mx-pointnet

e21c2de87ae55f714bfb897e2c8f7cf3e04a574e

[ "MIT" ]

16

2018-01-13T04:57:44.000Z

2020-02-13T18:53:09.000Z

symbol/transform_nets.py

Zehaos/mx-pointnet

e21c2de87ae55f714bfb897e2c8f7cf3e04a574e

[ "MIT" ]

null

symbol/transform_nets.py

Zehaos/mx-pointnet

e21c2de87ae55f714bfb897e2c8f7cf3e04a574e

[ "MIT" ]

5

2018-01-13T15:53:51.000Z

2019-04-22T16:54:51.000Z

import mxnet as mx import numpy as np from mx_constant import MyConstant eps = 1e-5 def input_transform_net(data, batch_size, num_points, workspace, bn_mom=0.9, scope="itn_"): data = mx.sym.expand_dims(data, axis=1) # (32,1,1024,3) conv0 = mx.sym.Convolution(data=data, num_filter=64, kernel=(1, 3), stride=(1, 1), name=scope + "conv0", workspace=workspace) conv0 = mx.sym.BatchNorm(data=conv0, fix_gamma=False, eps=eps, momentum=bn_mom, name=scope + 'bn0') conv0 = mx.sym.Activation(data=conv0, act_type='relu', name=scope + 'relu0') conv1 = mx.sym.Convolution(data=conv0, num_filter=128, kernel=(1, 1), stride=(1, 1), name=scope + "conv1", workspace=workspace) conv1 = mx.sym.BatchNorm(data=conv1, fix_gamma=False, eps=eps, momentum=bn_mom, name=scope + 'bn1') conv1 = mx.sym.Activation(data=conv1, act_type='relu', name=scope + 'relu1') conv2 = mx.sym.Convolution(data=conv1, num_filter=1024, kernel=(1, 1), stride=(1, 1), name=scope + "conv2", workspace=workspace) conv2 = mx.sym.BatchNorm(data=conv2, fix_gamma=False, eps=eps, momentum=bn_mom, name=scope + 'bn2') conv2 = mx.sym.Activation(data=conv2, act_type='relu', name=scope + 'relu2') pool3 = mx.sym.Pooling(data=conv2, kernel=(num_points, 1), pool_type='max', name=scope + 'pool3') pool3_reshaped = mx.sym.Reshape(data=pool3, shape=(batch_size, -1)) fc4 = mx.sym.FullyConnected(data=pool3_reshaped, num_hidden=512, name=scope + 'fc4') fc4 = mx.sym.BatchNorm(data=fc4, fix_gamma=False, eps=eps, momentum=bn_mom, name=scope + 'bn4') fc4 = mx.sym.Activation(data=fc4, act_type='relu', name=scope + 'relu4') fc5 = mx.sym.FullyConnected(data=fc4, num_hidden=256, name=scope + 'fc5') fc5 = mx.sym.BatchNorm(data=fc5, fix_gamma=False, eps=eps, momentum=bn_mom, name=scope + 'bn5') fc5 = mx.sym.Activation(data=fc5, act_type='relu', name=scope + 'relu5') input_transformer_weight = mx.sym.Variable(name="input_transformer_weight", shape=(9, 256), init=mx.init.Zero()) input_transformer_bias = mx.sym.Variable(name="input_transformer_bias", shape=(9), init=mx.init.Zero()) transform = mx.sym.FullyConnected(data=fc5, num_hidden=9, weight=input_transformer_weight, bias=input_transformer_bias, name=scope + 'fc6') const_arr = [1, 0, 0, 0, 1, 0, 0, 0, 1] a = mx.sym.Variable('itn_addi_bias', shape=(batch_size, 9), init=MyConstant(value=[const_arr]*batch_size)) a = mx.sym.BlockGrad(a) # now variable a is a constant transform = mx.sym.elemwise_add(transform, a, name=scope + "add_eye") transform_reshaped = mx.sym.Reshape(data=transform, shape=(batch_size, 3, 3), name=scope + "reshape_transform") return transform_reshaped def feature_transform_net(data, batch_size, num_points, workspace, bn_mom=0.9, scope="ftn_"): conv0 = mx.sym.Convolution(data=data, num_filter=64, kernel=(1, 1), stride=(1, 1), name=scope + "conv0", workspace=workspace) conv0 = mx.sym.BatchNorm(data=conv0, fix_gamma=False, eps=eps, momentum=bn_mom, name=scope + 'bn0') conv0 = mx.sym.Activation(data=conv0, act_type='relu', name=scope + 'relu0') conv1 = mx.sym.Convolution(data=conv0, num_filter=128, kernel=(1, 1), stride=(1, 1), name=scope + "conv1", workspace=workspace) conv1 = mx.sym.BatchNorm(data=conv1, fix_gamma=False, eps=eps, momentum=bn_mom, name=scope + 'bn1') conv1 = mx.sym.Activation(data=conv1, act_type='relu', name=scope + 'relu1') conv2 = mx.sym.Convolution(data=conv1, num_filter=1024, kernel=(1, 1), stride=(1, 1), name=scope + "conv2", workspace=workspace) conv2 = mx.sym.BatchNorm(data=conv2, fix_gamma=False, eps=eps, momentum=bn_mom, name=scope + 'bn2') conv2 = mx.sym.Activation(data=conv2, act_type='relu', name=scope + 'relu2') pool3 = mx.sym.Pooling(data=conv2, kernel=(num_points, 1), pool_type='max', name=scope + 'pool3') pool3_reshaped = mx.sym.Reshape(data=pool3, shape=(batch_size, -1)) fc4 = mx.sym.FullyConnected(data=pool3_reshaped, num_hidden=512, name=scope + 'fc4') fc4 = mx.sym.BatchNorm(data=fc4, fix_gamma=False, eps=eps, momentum=bn_mom, name=scope + 'bn4') fc4 = mx.sym.Activation(data=fc4, act_type='relu', name=scope + 'relu4') fc5 = mx.sym.FullyConnected(data=fc4, num_hidden=256, name=scope + 'fc5') fc5 = mx.sym.BatchNorm(data=fc5, fix_gamma=False, eps=eps, momentum=bn_mom, name=scope + 'bn5') fc5 = mx.sym.Activation(data=fc5, act_type='relu', name=scope + 'relu5') feat_transformer_weight = mx.sym.Variable(name="feat_transformer_weight", shape=(64*64, 256), init=mx.init.Zero()) feat_transformer_bias = mx.sym.Variable(name="feat_transformer_bias", shape=(64*64), init=mx.init.Zero()) transform = mx.sym.FullyConnected(data=fc5, num_hidden=64 * 64, weight=feat_transformer_weight, bias=feat_transformer_bias, name=scope + 'fc6') const_arr = np.eye(64, dtype=np.float32).flatten().tolist() a = mx.sym.Variable('ftn_addi_bias', shape=(batch_size, 64 * 64), init=MyConstant(value=[const_arr]*batch_size)) a = mx.sym.BlockGrad(a) # now variable a is a constant transform = mx.sym.elemwise_add(transform, a, name=scope + "add_eye") transform_reshaped = mx.sym.Reshape(data=transform, shape=(batch_size, 64, 64), name=scope + "reshape_transform") return transform_reshaped

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6

0b08ebb990cb0442cb30f5c70e04c1deefce0e14

12,721

py

Python

pypeFLOW/src/tests/test_pypeflow_task.py

WangGenomicsLab/FALCON

07ce2944ebd9aa624cc6ed32af59ec36a2590e7a

[ "BSD-3-Clause-Clear" ]

13

2015-06-29T08:02:25.000Z

2020-05-11T02:28:19.000Z

pypeFLOW/src/tests/test_pypeflow_task.py

WangGenomicsLab/FALCON

07ce2944ebd9aa624cc6ed32af59ec36a2590e7a

[ "BSD-3-Clause-Clear" ]

40

2015-06-11T20:04:20.000Z

2020-01-21T16:57:50.000Z

pypeFLOW/src/tests/test_pypeflow_task.py

WangGenomicsLab/FALCON

07ce2944ebd9aa624cc6ed32af59ec36a2590e7a

[ "BSD-3-Clause-Clear" ]

26

2015-06-06T15:11:51.000Z

2020-12-28T10:36:04.000Z

from nose.tools import assert_equal from nose import SkipTest import pypeflow.task import pypeflow.data class TestPypeTaskBase: def test___call__(self): # pype_task_base = PypeTaskBase(URL, *argv, **kwargv) # assert_equal(expected, pype_task_base.__call__(*argv, **kwargv)) raise SkipTest # TODO: implement your test here def test___init__(self): # pype_task_base = PypeTaskBase(URL, *argv, **kwargv) raise SkipTest # TODO: implement your test here def test_finalize(self): # pype_task_base = PypeTaskBase(URL, *argv, **kwargv) # assert_equal(expected, pype_task_base.finalize()) raise SkipTest # TODO: implement your test here def test_setInputs(self): # pype_task_base = PypeTaskBase(URL, *argv, **kwargv) # assert_equal(expected, pype_task_base.setInputs(inputDataObjs)) raise SkipTest # TODO: implement your test here def test_setOutputs(self): # pype_task_base = PypeTaskBase(URL, *argv, **kwargv) # assert_equal(expected, pype_task_base.setOutputs(outputDataObjs)) raise SkipTest # TODO: implement your test here def test_setReferenceMD5(self): # pype_task_base = PypeTaskBase(URL, *argv, **kwargv) # assert_equal(expected, pype_task_base.setReferenceMD5(md5Str)) raise SkipTest # TODO: implement your test here def test_status(self): # pype_task_base = PypeTaskBase(URL, *argv, **kwargv) # assert_equal(expected, pype_task_base.status()) raise SkipTest # TODO: implement your test here class TestPypeThreadTaskBase: def test___call__(self): # pype_thread_task_base = PypeThreadTaskBase() # assert_equal(expected, pype_thread_task_base.__call__(*argv, **kwargv)) raise SkipTest # TODO: implement your test here def test_nSlots(self): # pype_thread_task_base = PypeThreadTaskBase() # assert_equal(expected, pype_thread_task_base.nSlots()) raise SkipTest # TODO: implement your test here def test_setMessageQueue(self): # pype_thread_task_base = PypeThreadTaskBase() # assert_equal(expected, pype_thread_task_base.setMessageQueue(q)) raise SkipTest # TODO: implement your test here class TestPypeDistributiableTaskBase: def test___init__(self): # pype_distributiable_task_base = PypeDistributiableTaskBase(URL, *argv, **kwargv) raise SkipTest # TODO: implement your test here class TestPypeTask: def test_pype_task(self): # assert_equal(expected, PypeTask(*argv, **kwargv)) raise SkipTest # TODO: implement your test here class TestPypeShellTask: def test_pype_shell_task(self): # assert_equal(expected, PypeShellTask(*argv, **kwargv)) raise SkipTest # TODO: implement your test here class TestPypeSGETask: def test_pype_sge_task(self): # assert_equal(expected, PypeSGETask(*argv, **kwargv)) raise SkipTest # TODO: implement your test here class TestPypeDistributibleTask: def test_pype_distributible_task(self): # assert_equal(expected, PypeDistributibleTask(*argv, **kwargv)) raise SkipTest # TODO: implement your test here class TestTimeStampCompare: def test_time_stamp_compare(self): # assert_equal(expected, timeStampCompare(inputDataObjs, outputDataObjs, parameters)) raise SkipTest # TODO: implement your test here class TestPypeTaskCollectionBase: def test___init__(self): # pype_task_collection_base = PypeTaskCollectionBase(URL, tasks) raise SkipTest # TODO: implement your test here def test_getTasks(self): # pype_task_collection_base = PypeTaskCollectionBase(URL, tasks) # assert_equal(expected, pype_task_collection_base.getTasks()) raise SkipTest # TODO: implement your test here class TestPypeTaskCollection: def test___init__(self): # pype_task_collection = PypeTaskCollection(URL, tasks) raise SkipTest # TODO: implement your test here def test_addTask(self): # pype_task_collection = PypeTaskCollection(URL, tasks) # assert_equal(expected, pype_task_collection.addTask(task)) raise SkipTest # TODO: implement your test here def test_getTasks(self): # pype_task_collection = PypeTaskCollection(URL, tasks) # assert_equal(expected, pype_task_collection.getTasks()) raise SkipTest # TODO: implement your test here class TestPypeScatteredTasks: def test_pype_scattered_tasks(self): import os #os.system("rm -rf /tmp/pypetest/*") nChunk = 5 infileObj =\ pypeflow.data.PypeSplittableLocalFile( "splittablefile://localhost/tmp/pypetest/test_in_1.txt", nChunk = nChunk) with open(infileObj.localFileName, "w") as f: for i in range(nChunk): f.write("file%02d\n" % i) def scatter(*argv, **kwargv): outputObjs = sorted( kwargv["outputDataObjs"].items() ) nOut = len(outputObjs) outputObjs = [ (o[0], o[1], open(o[1].localFileName, "w")) for o in outputObjs] with open(kwargv["inputDataObjs"]["completeFile"].localFileName,"r") as f: i = 0 for l in f: outf = outputObjs[i % nOut][2] outf.write(l) i += 1 for o in outputObjs: o[2].close() PypeShellTask = pypeflow.task.PypeShellTask PypeTask = pypeflow.task.PypeTask PypeTaskBase = pypeflow.task.PypeTaskBase infileObj.setScatterTask(PypeTask, PypeTaskBase, scatter) infileObj.getScatterTask()() def gather(*argv, **kwargv): inputObjs = sorted( kwargv["inputDataObjs"].items() ) with open(kwargv["outputDataObjs"]["completeFile"].localFileName,"w") as outf: for k, subfile in inputObjs: f = open(subfile.localFileName) outf.write(f.read()) f.close() outfileObj =\ pypeflow.data.PypeSplittableLocalFile( "splittablefile://localhost/tmp/pypetest/test_out_1.txt", nChunk = nChunk) outfileObj.setGatherTask(PypeTask, PypeTaskBase, gather) PypeScatteredTasks = pypeflow.task.PypeScatteredTasks @PypeScatteredTasks( inputDataObjs = {"inf":infileObj}, outputDataObjs = {"outf":outfileObj} ) def test_fun(*argv, **kwargv): chunk_id = kwargv["chunk_id"] self = test_fun[chunk_id] assert self.inf._path == "/tmp/pypetest/%03d_test_in_1.txt" % chunk_id with open( self.outf._path , "w") as f: in_f = open(self.inf.localFileName,"r") f.write("out:"+in_f.read()) in_f.close() return self.inf._path assert len(test_fun.getTasks()) == nChunk for i in range(nChunk): test_fun[i]() outfileObj.getGatherTask()() def test_pype_scattered_tasks_2(self): import os #os.system("rm -rf /tmp/pypetest/*") nChunk = 5 infileObj =\ pypeflow.data.PypeSplittableLocalFile( "splittablefile://localhost/tmp/pypetest/test_in_2.txt", nChunk = nChunk) with open(infileObj.localFileName, "w") as f: for i in range(nChunk): f.write("file%02d\n" % i) with open("/tmp/pypetest/scatter.sh", "w") as f: f.write("#!/bin/bash\n") f.write("for f in %s;" % " ".join( ["%03d" % i for i in range(nChunk)] )) f.write('do if [ -e /tmp/pypetest/%f"_test_in.txt" ];\ then rm /tmp/pypetest/$f"_test_in.txt"; fi;\n') f.write("done\n") for i in range(nChunk): f.write("echo file%02d > /tmp/pypetest/%03d_test_in_2.txt\n" % (i, i)) PypeShellTask = pypeflow.task.PypeShellTask PypeTask = pypeflow.task.PypeTask PypeTaskBase = pypeflow.task.PypeTaskBase infileObj.setScatterTask(PypeShellTask, PypeTaskBase, "/tmp/pypetest/scatter.sh") infileObj.getScatterTask()() def gather(*argv, **kwargv): inputObjs = sorted( kwargv["inputDataObjs"].items() ) with open(kwargv["outputDataObjs"]["completeFile"].localFileName,"w") as outf: for k, subfile in inputObjs: f = open(subfile.localFileName) outf.write("out:"+f.read()) f.close() outfileObj =\ pypeflow.data.PypeSplittableLocalFile( "splittablefile://localhost/tmp/pypetest/test_out_2.txt", nChunk = nChunk) outfileObj.setGatherTask(PypeTask, PypeTaskBase, gather) PypeScatteredTasks = pypeflow.task.PypeScatteredTasks @PypeScatteredTasks( inputDataObjs = {"inf":infileObj}, outputDataObjs = {"outf":outfileObj}, comment="xyz") def test_fun_2(*argv, **kwargv): assert kwargv["comment"] == "xyz" chunk_id = kwargv["chunk_id"] self = test_fun_2[chunk_id] assert self.inf._path == "/tmp/pypetest/%03d_test_in_2.txt" % chunk_id with open( self.outf._path , "w") as f: f.write("file%02d\n" % chunk_id) return self.inf._path assert len(test_fun_2.getTasks()) == nChunk for i in range(nChunk): test_fun_2[i]() outfileObj.getGatherTask()() def test_pype_scattered_tasks_3(self): import os #os.system("rm -rf /tmp/pypetest/*") nChunk = 5 infileObj0 =\ pypeflow.data.PypeLocalFile( "file://localhost/tmp/pypetest/test_in_0.txt") with open(infileObj0.localFileName,"w") as f: f.write("prefix:") infileObj =\ pypeflow.data.PypeSplittableLocalFile( "splittablefile://localhost/tmp/pypetest/test_in_3.txt", nChunk = nChunk) with open(infileObj.localFileName, "w") as f: for i in range(nChunk): f.write("file%02d\n" % i) def scatter(*argv, **kwargv): outputObjs = sorted( kwargv["outputDataObjs"].items() ) nOut = len(outputObjs) outputObjs = [ (o[0], o[1], open(o[1].localFileName, "w")) for o in outputObjs] with open(kwargv["inputDataObjs"]["completeFile"].localFileName,"r") as f: i = 0 for l in f: outf = outputObjs[i % nOut][2] outf.write(l) i += 1 for o in outputObjs: o[2].close() PypeShellTask = pypeflow.task.PypeShellTask PypeTask = pypeflow.task.PypeTask PypeTaskBase = pypeflow.task.PypeTaskBase infileObj.setScatterTask(PypeTask, PypeTaskBase, scatter) infileObj.getScatterTask()() def gather(*argv, **kwargv): inputObjs = sorted( kwargv["inputDataObjs"].items() ) with open(kwargv["outputDataObjs"]["completeFile"].localFileName,"w") as outf: for k, subfile in inputObjs: f = open(subfile.localFileName) outf.write(f.read()) f.close() outfileObj3 =\ pypeflow.data.PypeSplittableLocalFile( "splittablefile://localhost/tmp/pypetest/test_out_3.txt", nChunk = nChunk) outfileObj3.setGatherTask(PypeTask, PypeTaskBase, gather) PypeScatteredTasks = pypeflow.task.PypeScatteredTasks @PypeScatteredTasks( inputDataObjs = {"inf":infileObj, "prefix":infileObj0}, outputDataObjs = {"outf":outfileObj3} ) def test_fun_3(*argv, **kwargv): chunk_id = kwargv["chunk_id"] self = test_fun_3[chunk_id] assert self.inf._path == "/tmp/pypetest/%03d_test_in_3.txt" % chunk_id with open( self.prefix.localFileName, "r") as f: prefix = f.read() with open( self.outf._path, "w") as f: in_f = open(self.inf.localFileName,"r") f.write(prefix + in_f.read()) in_f.close() return self.inf._path assert len(test_fun_3.getTasks()) == nChunk for i in range(nChunk): test_fun_3[i]() outfileObj3.getGatherTask()()

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null

0

6

9bd597cac12e48bc99dfd6071fe411640bb284a7

31

py

Python

src/actions/help.py

bluzi/pypm

5d31fda70b76628f15a94d10cb50bc91fdcc9115

[ "MIT" ]

1

2018-08-11T12:43:23.000Z

src/actions/help.py

bluzi/pypm

5d31fda70b76628f15a94d10cb50bc91fdcc9115

[ "MIT" ]

null

src/actions/help.py

bluzi/pypm

5d31fda70b76628f15a94d10cb50bc91fdcc9115

[ "MIT" ]

null

def handle(): print('help')

15.5

17

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31

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1

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1

0

6

ac99f87727ec1ec295559ebcdd4dcc6f4e77c7e3

66

py

Python

__init__.py

odeliss/wapetex

1ad6740f537724e3640175234ea5d120912a0c3c

[ "MIT" ]

null

__init__.py

odeliss/wapetex

1ad6740f537724e3640175234ea5d120912a0c3c

[ "MIT" ]

null

__init__.py

odeliss/wapetex

1ad6740f537724e3640175234ea5d120912a0c3c

[ "MIT" ]

null

from wapetex.datagenerationpipeline import dataGenerationPipeline

33

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1

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1

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6

acc09ccf5243003cd79e6b41555cf7870edab638

3,990

py

Python

tests/nomulti_test.py

victronenergy/dbus-systemcalc-py

3d3c31d2d01bbe12aad634279e6569f4cba902b4

[ "MIT" ]

5

2018-07-08T20:05:52.000Z

2021-11-29T03:07:00.000Z

tests/nomulti_test.py

victronenergy/dbus-systemcalc-py

3d3c31d2d01bbe12aad634279e6569f4cba902b4

[ "MIT" ]

2

2016-10-13T13:02:54.000Z

2021-03-05T17:08:55.000Z

tests/nomulti_test.py

victronenergy/dbus-systemcalc-py

3d3c31d2d01bbe12aad634279e6569f4cba902b4

[ "MIT" ]

13

2015-04-13T12:21:24.000Z

2022-01-24T16:28:35.000Z

#!/usr/bin/env python3 # This adapts sys.path to include all relevant packages import context # our own packages from base import TestSystemCalcBase # Monkey patching for unit tests import patches class TestSystemCalcNoMulti(TestSystemCalcBase): def __init__(self, methodName='runTest'): TestSystemCalcBase.__init__(self, methodName) def test_noservices(self): self._update_values() self._check_values({ '/Dc/Battery/Soc': None, '/AutoSelectedBatteryService': 'No battery monitor found'}) def test_no_battery_service(self): self._set_setting('/Settings/SystemSetup/BatteryService', 'nobattery') self._add_device('com.victronenergy.battery.ttyO2', product_name='battery', values={ '/Dc/0/Voltage': 12.3, '/Dc/0/Current': 5.3, '/Dc/0/Power': 65, '/Soc': 15.3, '/DeviceInstance': 2}) self._update_values() self._check_values({ '/Dc/Battery/Power': None, '/AutoSelectedBatteryService': None}) self._set_setting('/Settings/SystemSetup/BatteryService', 'default') self._update_values() self._check_values({ '/Dc/Battery/Power': 65, '/AutoSelectedBatteryService': 'battery on dummy'}) def test_hub1_control_vedirect_solarcharger_bms_battery(self): self._set_setting('/Settings/Services/Bol', 1) self._add_device('com.victronenergy.solarcharger.ttyO2', { '/State': 3, '/Settings/ChargeCurrentLimit': 100, '/Link/NetworkMode': 0, '/Link/ChargeVoltage': None, '/Link/ChargeCurrent': None, '/Link/VoltageSense': None, '/Dc/0/Voltage': 12.6, '/Dc/0/Current': 24, '/FirmwareVersion': 0x0129}, connection='VE.Direct') self._add_device('com.victronenergy.battery.ttyO2', product_name='battery', values={ '/Dc/0/Voltage': 12.3, '/Dc/0/Current': 5.3, '/Dc/0/Power': 65, '/Soc': 15.3, '/DeviceInstance': 2, '/Info/BatteryLowVoltage': 47, '/Info/MaxChargeCurrent': 25, '/Info/MaxChargeVoltage': 58.2, '/Info/MaxDischargeCurrent': 50}) self._update_values(interval=10000) self._check_external_values({ 'com.victronenergy.solarcharger.ttyO2': { '/Link/NetworkMode': 13, '/Link/ChargeCurrent': 25, '/Link/ChargeVoltage': 58.2}}) self._check_values({ '/Control/SolarChargeCurrent': 1, '/Control/SolarChargeVoltage': 1, '/Control/BmsParameters': 1}) def test_hub1_control_bms_battery_vedirect_solarcharger_off(self): self._set_setting('/Settings/Services/Bol', 1) self._add_device('com.victronenergy.solarcharger.ttyO0', { '/State': 0, '/Settings/ChargeCurrentLimit': 100, '/Link/NetworkMode': 0, '/Link/ChargeVoltage': None, '/Link/ChargeCurrent': None, '/Link/VoltageSense': None, '/Dc/0/Voltage': 12.6, '/Dc/0/Current': 0, '/FirmwareVersion': 0x0129}, connection='VE.Direct') self._add_device('com.victronenergy.solarcharger.ttyO2', { '/State': 3, '/Settings/ChargeCurrentLimit': 100, '/Link/NetworkMode': 0, '/Link/ChargeVoltage': None, '/Link/ChargeCurrent': None, '/Link/VoltageSense': None, '/Dc/0/Voltage': 12.6, '/Dc/0/Current': 24, '/FirmwareVersion': 0x0129}, connection='VE.Direct') self._add_device('com.victronenergy.battery.ttyUSB0', product_name='battery', values={ '/Dc/0/Voltage': 12.3, '/Dc/0/Current': 5.3, '/Dc/0/Power': 65, '/Soc': 15.3, '/DeviceInstance': 2, '/Info/BatteryLowVoltage': 47, '/Info/MaxChargeCurrent': 25, '/Info/MaxChargeVoltage': 58.2, '/Info/MaxDischargeCurrent': 50}) self._update_values(interval=10000) self._check_external_values({ 'com.victronenergy.solarcharger.ttyO0': { '/Link/NetworkMode': 13, '/Link/ChargeCurrent': None, '/Link/ChargeVoltage': 58.2}, 'com.victronenergy.solarcharger.ttyO2': { '/Link/NetworkMode': 13, '/Link/ChargeCurrent': 25, '/Link/ChargeVoltage': 58.2}}) self._check_values({ '/Control/SolarChargeCurrent': 1, '/Control/SolarChargeVoltage': 1, '/Control/BmsParameters': 1})

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null

0

1

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1

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null

0

6

acd357ff389ec7d4d1cef5722aa5fcb54f6bb146

424

py

Python

rastervision/v2/core/filesystem/__init__.py

carderne/raster-vision

915fbcd3263d8f2193e65c2cd0eb53e050a47a01

[ "Apache-2.0" ]

1

2019-11-07T10:02:23.000Z

rastervision/v2/core/filesystem/__init__.py

carderne/raster-vision

915fbcd3263d8f2193e65c2cd0eb53e050a47a01

[ "Apache-2.0" ]

null

rastervision/v2/core/filesystem/__init__.py

carderne/raster-vision

915fbcd3263d8f2193e65c2cd0eb53e050a47a01

[ "Apache-2.0" ]

null

# flake8: noqa from rastervision.v2.core.filesystem.filesystem import ( FileSystem, NotReadableError, NotWritableError, ProtobufParseException) from rastervision.v2.core.filesystem.local_filesystem import LocalFileSystem from rastervision.v2.core.filesystem.s3_filesystem import S3FileSystem from rastervision.v2.core.filesystem.http_filesystem import HttpFileSystem from rastervision.v2.core.filesystem.utils import *

47.111111

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null

1

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1

0

null

0

1

0

1

0

6

ace37fbed6d60b7165772a91d5e045c52828a215

46

py

Python

vnpy/gateway/onetoken/__init__.py

funrunskypalace/vnpy

2d87aede685fa46278d8d3392432cc127b797926

[ "MIT" ]

19,529

2015-03-02T12:17:35.000Z

2022-03-31T17:18:27.000Z

vnpy/gateway/onetoken/__init__.py

funrunskypalace/vnpy

2d87aede685fa46278d8d3392432cc127b797926

[ "MIT" ]

2,186

2015-03-04T23:16:33.000Z

2022-03-31T03:44:01.000Z

vnpy/gateway/onetoken/__init__.py

funrunskypalace/vnpy

2d87aede685fa46278d8d3392432cc127b797926

[ "MIT" ]

8,276

2015-03-02T05:21:04.000Z

2022-03-31T13:13:13.000Z

from .onetoken_gateway import OnetokenGateway

23

45

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0.952381

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null

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1

0

1

0

1

0

6

4a01d06f5195438416debbf98d914807536e8b31

36

py

Python

backups/__init__.py

daqbroker/daqbrokerServer

e8d2b72b4e3ab12c26dfa7b52e9d77097ede3f33

[ "MIT" ]

null

backups/__init__.py

daqbroker/daqbrokerServer

e8d2b72b4e3ab12c26dfa7b52e9d77097ede3f33

[ "MIT" ]

null

backups/__init__.py

daqbroker/daqbrokerServer

e8d2b72b4e3ab12c26dfa7b52e9d77097ede3f33

[ "MIT" ]

null

from .rsyncServer import rsyncServer

36

0.888889

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36

8

0.75

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0.083333

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36

0.969697

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true

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1

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null

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null

0

1

0

1

0

1

0

6

c582cd5b7c7bc2ac28d166d6acbd928fc6e4a9f0

360

py

Python

python/testData/inspections/PyArgumentListInspection/slice.py

tgodzik/intellij-community

f5ef4191fc30b69db945633951fb160c1cfb7b6f

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/inspections/PyArgumentListInspection/slice.py

tgodzik/intellij-community

f5ef4191fc30b69db945633951fb160c1cfb7b6f

[ "Apache-2.0" ]

2

2022-02-19T09:45:05.000Z

2022-02-27T20:32:55.000Z

python/testData/inspections/PyArgumentListInspection/slice.py

tgodzik/intellij-community

f5ef4191fc30b69db945633951fb160c1cfb7b6f

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

print(slice(<warning descr="Parameter(s) unfilledPossible callees:slice(self: slice, stop)slice(self: slice, start, stop, step=...)">)</warning>) print(slice(1)) print(slice(1, 2)) print(slice(1, 2, 3)) print(slice<warning descr="Unexpected argument(s)Possible callees:slice(self: slice, stop)slice(self: slice, start, stop, step=...)">(1, 2, 3, 4)</warning>)

60

156

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360

4.636364

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0.196078

0.219608

0.172549

0.407843

0

0.030211

0.080556

360

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157

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0

1

0

null

0

1

0

1

0

6

c5833b5fca0a051f55dedd516d8c3b1c1155e700

49

py

Python

python/testData/inspections/PyArgumentListInspection/TimetupleOnAssertedDate/_datetime.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/inspections/PyArgumentListInspection/TimetupleOnAssertedDate/_datetime.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/inspections/PyArgumentListInspection/TimetupleOnAssertedDate/_datetime.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

class date: def timetuple(self): pass

16.333333

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4.833333

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16.333333

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null

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1

0

1

0

1

0

6

c5a4cd3620f8a6662d0d0749fc67b878b119fa12

142

py

Python

moneymanagerapp/admin.py

Viniciuspxf/moneyManager

5180d833e0cb28565cbefca4f3c346a0cb936661

[ "MIT" ]

null

moneymanagerapp/admin.py

Viniciuspxf/moneyManager

5180d833e0cb28565cbefca4f3c346a0cb936661

[ "MIT" ]

null

moneymanagerapp/admin.py

Viniciuspxf/moneyManager

5180d833e0cb28565cbefca4f3c346a0cb936661

[ "MIT" ]

null

from django.contrib import admin from .models import * admin.site.register(Account) admin.site.register(Expense) admin.site.register(Income)

20.285714

32

0.809859

20

142

5.75

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0.234783

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true

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null

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1

0

null

0

1

0

1

0

6

c5d5a9d1db44c66deec6d7b772a2f193aa667a77

163

py

Python

rsna_heme/__init__.py

johncolby/rsna_heme

14e3ecafa0587ebdce2a04b239edecb32dbaa6d0

[ "MIT" ]

1

2020-05-30T13:59:47.000Z

rsna_heme/__init__.py

johncolby/rsna_heme

14e3ecafa0587ebdce2a04b239edecb32dbaa6d0

[ "MIT" ]

null

rsna_heme/__init__.py

johncolby/rsna_heme

14e3ecafa0587ebdce2a04b239edecb32dbaa6d0

[ "MIT" ]

null

from . import process from . import cnn from . import dicom from . import io from . import labels from . import logger from . import transforms from . import util

18.111111

24

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24

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5.125

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0

0.196319

163

8

25

20.375

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0

1

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true

0

1

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1

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null

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0

null

0

1

0

1

0

1

0

6

c5ea5d4d926e071eb9e34da6cd11cd621dbfcf74

220

py

Python

strimadec/models/__init__.py

borea17/StrImaDec

711e14d50ff816585b43c1509355983738b45ecb

[ "MIT" ]

null

strimadec/models/__init__.py

borea17/StrImaDec

711e14d50ff816585b43c1509355983738b45ecb

[ "MIT" ]

null

strimadec/models/__init__.py

borea17/StrImaDec

711e14d50ff816585b43c1509355983738b45ecb

[ "MIT" ]

null

import strimadec.models.modules import strimadec.models.utils from strimadec.models.DVAE import DVAE from strimadec.models.DVAEST import DVAEST from strimadec.models.AIR import AIR from strimadec.models.DAIR import DAIR

31.428571

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5.875

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0

0.090909

220

7

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31.428571

0.94

0

1

0

true

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1

0

null

0

1

0

1

0

1

0

6

a845e79976cb199db5681dec2762bea126a0d27b

9,150

py

Python

pyocd/target/builtin/target_PIC32CXMTG.py

CristianGuemes/pyOCD

1307acd7aa7f4dd4472af4d11eadea90f6c4fe5c

[ "Apache-2.0" ]

null

pyocd/target/builtin/target_PIC32CXMTG.py

CristianGuemes/pyOCD

1307acd7aa7f4dd4472af4d11eadea90f6c4fe5c

[ "Apache-2.0" ]

null

pyocd/target/builtin/target_PIC32CXMTG.py

CristianGuemes/pyOCD

1307acd7aa7f4dd4472af4d11eadea90f6c4fe5c

[ "Apache-2.0" ]

null

# pyOCD debugger # Copyright (c) 2020 Arm Limited # SPDX-License-Identifier: Apache-2.0 # # 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 ...flash.flash import Flash from ...coresight.coresight_target import CoreSightTarget from ...core.memory_map import (FlashRegion, RamRegion, MemoryMap) FLASH_ALGO = { 'load_address' : 0x20000000, # Flash algorithm as a hex string 'instructions': [ 0xE00ABE00, 0x062D780D, 0x24084068, 0xD3000040, 0x1E644058, 0x1C49D1FA, 0x2A001E52, 0x4770D1F2, 0xbf042800, 0x47702001, 0x60012100, 0x60816041, 0x490b60c1, 0x604a4a09, 0x7280f04f, 0x60036813, 0x60436853, 0x60836893, 0x60c268d2, 0x60484805, 0xf0106888, 0xd0fb0f01, 0x47702000, 0x5a00000e, 0x460e0000, 0x5a00000f, 0xf0416801, 0x60010101, 0x68014770, 0x0101f021, 0x47706001, 0xf44f6802, 0xf4226370, 0xea036270, 0x43112101, 0x47706001, 0x47706880, 0x477068c0, 0xf1b1b510, 0xd3027f80, 0x7f90f1b1, 0xf3afd901, 0x28008000, 0xf8dfbf1c, 0xf8c0c094, 0xf1a1c000, 0x2a007080, 0x0a41bf1c, 0x2b008011, 0xf3c0bf1c, 0x80180008, 0xb510bd10, 0xf5b1b128, 0xbf985f80, 0x7f00f5b2, 0xf3afd301, 0xeb028000, 0xf1002041, 0x2b007080, 0x6018bf18, 0xb2c9bd10, 0x4604b510, 0x407ff06f, 0x2002ea00, 0x2b004308, 0xf040bf04, 0x606040b4, 0xf04fd012, 0x688a7100, 0x4449490c, 0xf1a4600a, 0xf5b1418c, 0xd1032160, 0x41b4f040, 0x47902000, 0xf00068a0, 0xbd10000e, 0xf01068a0, 0xd0fb0f01, 0x000ef000, 0x0000bd10, 0x460e0000, 0x00000004, 0x460cb510, 0xf7ff48fe, 0x48feff8e, 0x60044448, 0xb500bd10, 0x4601b083, 0xaa01ab02, 0xf7ff4668, 0x48f8ff95, 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0x2300feed, 0x4618aa01, 0xf7ff9903, 0xf8bdfee7, 0xf8bd0000, 0x42881004, 0x4c9ebf3c, 0xd213444c, 0x2108b282, 0x98046823, 0xff05f7ff, 0xbf1c2800, 0xbd70b006, 0x0000f8bd, 0x1004f8bd, 0xb2804428, 0x0000f8ad, 0xd3eb4288, 0x2000b006, 0xb570bd70, 0x461cb086, 0x25104616, 0xaa02ab03, 0xf8f6f000, 0xbf1c2e00, 0x60309802, 0xbf1c2c00, 0x60209803, 0x466a2300, 0x9902a804, 0xfeb0f7ff, 0xaa012300, 0x99034618, 0xfeaaf7ff, 0x0000f8bd, 0x1004f8bd, 0xbf3c4288, 0x444c4c7f, 0xb282d213, 0x68232109, 0xf7ff9804, 0x2800fec8, 0xb006bf1c, 0xf8bdbd70, 0xf8bd0000, 0x44281004, 0xf8adb280, 0x42880000, 0xb006d3eb, 0xbd702000, 0x41f0e92d, 0xb08c2700, 0x4281460c, 0xf1b0bf28, 0xd3027f80, 0x7f90f1b4, 0xf3afd901, 0x46018000, 0xaa092300, 0xf7ffa808, 0x2300fe75, 0x4621aa0a, 0xf7ff4618, 0xf8bdfe6f, 0x20101024, 0xf1f0fbb1, 0xf8bdb2cc, 0xfbb11028, 0xb2d6f2f0, 0xf2f0fbb1, 0x1012fb00, 0xbf1c2800, 0xb2c61c70, 0x2200485b, 0x210a4448, 0x98086803, 0xfe81f7ff, 0x46e82500, 0xf7ff9808, 0xf848fe4d, 0x1c6d0025, 0xd3f72d08, 0xbf3842b4, 0xd20d2201, 0xf0040961, 0xf858001f, 0xfa021021, 0x4201f000, 0x1c7fbf18, 0xb2c41c60, 0xd3f142b4, 0x4638b00c, 0x81f0e8bd, 0x4604b570, 0xd3012809, 0x8000f3af, 0x4d434844, 0x22004448, 0x210d6803, 0xf7ff4628, 0x4628fe52, 0xfe20f7ff, 0x40a12101, 0xbf184008, 0xbd702001, 0xb5702809, 0xd3014604, 0x8000f3af, 0x4e374d38, 0x2200444d, 0x4630210d, 0xf7ff682b, 0x4630fe3a, 0xfe08f7ff, 0x40a12101, 0xbf1c4201, 0xbd702000, 0x46304622, 0xe8bd682b, 0x210b4070, 0xbe29f7ff, 0x4604b570, 0xd3012809, 0x8000f3af, 0x4e274d28, 0x2200444d, 0x4630210d, 0xf7ff682b, 0x4630fe1a, 0xfde8f7ff, 0x40a12101, 0xbf084008, 0x4622bd70, 0x682b4630, 0x4070e8bd, 0xf7ff210c, 0x4a1bbe0a, 0xf0116891, 0xd0fb0f01, 0x41b4f04f, 0x68916051, 0x0f01f011, 0x2100d0fb, 0xf84068d3, 0x1c493021, 0xd3f92904, 0x47702000, 0xb084b570, 0x461e460c, 0x46014615, 0xaa022300, 0xf7ff4668, 0x2300fdbd, 0x4621aa03, 0xf7ffa801, 0xf8bdfdb7, 0x20101008, 0xf2f0fbb1, 0x1212fb00, 0xf8bd1a89, 0xb289400c, 0xf2f0fbb4, 0x4212fb00, 0xe005b172, 0x460e0000, 0x00000008, 0x00000010, 0xf2f0fbb4, 0x4012fb00, 0x0010f1c0, 0xb2844420, 0x2200462b, 0xf7ff9800, 0x4633fdae, 0x46212200, 0xf7ff9801, 0xb004fda8, 0x0000bd70, 0x4604b510, 0x46082100, 0xfddef7ff, 0xf7ff2005, 0x2006ff65, 0xff62f7ff, 0xbf1c2800, 0xbd102001, 0x4448481b, 0x20006004, 0x2000bd10, 0x48184770, 0x68004448, 0xbdd1f7ff, 0x4604b510, 0xf0204915, 0x2300407e, 0x461a4401, 0xfe9df7ff, 0x4620b928, 0xfdd5f7ff, 0xbf082800, 0x2001bd10, 0x4613bd10, 0x460ab510, 0x407ef020, 0xf7ff4619, 0x2800fddb, 0x2001bf18, 0x4613bd10, 0x460db570, 0x4604460a, 0xf0004619, 0x2800f81b, 0x1960bf0c, 0xbd704620, 0x0000000c, 0x0001ffff, 0x0301ea40, 0xd003079b, 0xc908e009, 0xc0081f12, 0xd2fa2a04, 0xf811e003, 0xf8003b01, 0x1e523b01, 0x4770d2f9, 0x4604b530, 0x46032000, 0x1c5be000, 0xd2034293, 0x5ccd5ce0, 0xd0f81b40, 0x0000bd30, 0x00000000, 0x00000000, 0x00000001, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x00000000 ], # Relative function addresses 'pc_init': 0x20000585, 'pc_unInit': 0x200005af, 'pc_program_page': 0x200005e3, 'pc_erase_sector': 0x200005bd, 'pc_eraseAll': 0x200005b3, 'static_base' : 0x20000000 + 0x00000020 + 0x0000063c, 'begin_stack' : 0x20000900, 'begin_data' : 0x20000000 + 0x1000, 'page_size' : 0x200, 'analyzer_supported' : True, 'analyzer_address' : 0x20002000, 'page_buffers' : [0x20001000, 0x20001200], # Enable double buffering 'min_program_length' : 0x200, # Flash information 'flash_start': 0x1000000, 'flash_size': 0x200000, 'sector_sizes': ( (0x0, 0x20000), (0x20000, 0x20000), (0x40000, 0x20000), (0x60000, 0x20000), (0x80000, 0x20000), (0xa0000, 0x20000), (0xc0000, 0x20000), (0xe0000, 0x20000), (0x100000, 0x20000), (0x120000, 0x20000), (0x140000, 0x20000), (0x160000, 0x20000), (0x180000, 0x20000), (0x1a0000, 0x20000), (0x1c0000, 0x20000), (0x1e0000, 0x20000), ) } class PIC32CXMTG(CoreSightTarget): VENDOR = "Microchip" MEMORY_MAP = MemoryMap( FlashRegion( start=0x01000000, length=0x200000, blocksize=0x1000, is_boot_memory=True, algo=FLASH_ALGO), RamRegion( start=0x20000000, length=0x80000) ) def __init__(self, session): super(PIC32CXMTG, self).__init__(session, self.MEMORY_MAP)

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null

0

1

0

6

a8682892037f6ea42cdf9c04685d946a1a003853

34

py

Python

src/bullets/data_source/__init__.py

CaballeroM/BullETS

3071387128a51fd85cdfa807c9e6c0b8e3bfc0db

[ "Apache-2.0" ]

6

2021-05-12T23:51:47.000Z

2022-02-04T02:39:41.000Z

src/bullets/data_source/__init__.py

CaballeroM/BullETS

3071387128a51fd85cdfa807c9e6c0b8e3bfc0db

[ "Apache-2.0" ]

73

2021-05-12T02:12:02.000Z

2022-03-31T22:26:29.000Z

src/bullets/data_source/__init__.py

CaballeroM/BullETS

3071387128a51fd85cdfa807c9e6c0b8e3bfc0db

[ "Apache-2.0" ]

7

2021-05-12T03:34:19.000Z

2021-11-21T09:15:07.000Z

from bullets.data_source import *

17

33

0.823529

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5.4

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6

a869403091a13d751561b8254178b44e6771944c

8,874

py

Python

test/test_snyk_access.py

mergermarket/snyk-access

663caed22a58bf113e24236f75876b2a19a1a846

[ "MIT" ]

null

test/test_snyk_access.py

mergermarket/snyk-access

663caed22a58bf113e24236f75876b2a19a1a846

[ "MIT" ]

91

2019-08-21T09:46:01.000Z

2022-03-25T07:17:28.000Z

test/test_snyk_access.py

mergermarket/snyk-access

663caed22a58bf113e24236f75876b2a19a1a846

[ "MIT" ]

null

import json import unittest from unittest.mock import MagicMock, patch, call, mock_open import snyk import snyk_access class TestFindOrg(unittest.TestCase): def test_find_org(self): snyk_client = MagicMock(spec=snyk.Snyk) http_client = MagicMock(spec=snyk.HTTPClient) group = MagicMock(spec=snyk.Group) orgs = [ snyk.Org(http_client, f'team-{i}', str(i), group) for i in range(10) ] org_name = 'myorg' orgs.append(snyk.Org(http_client, org_name, '42', group)) snyk_client.orgs.return_value = orgs org = snyk_access.find_org(snyk_client, org_name) assert org.id == '42' class TestFindRepos(unittest.TestCase): def test_snyk_app_in_one_block(self): data = [ { 'teams': { 'foo-team': 'pull', }, 'apps': { 'snyk': [ 'project-a', 'project-b', ], }, 'repos': [ 'project-a', 'project-b', 'project-c', 'project-d', ], }, { 'teams': { 'bar-team': 'push', }, 'repos': [ 'project-e', ], }, ] repos = snyk_access.repos_to_import(data) assert sorted(repos) == ['project-a', 'project-b'] def test_snyk_app_enabled_in_two_blocks(self): data = [ { 'teams': { 'foo-team': 'pull', }, 'apps': { 'snyk': True, }, 'repos': [ 'project-a', 'project-b', 'project-c', 'project-d', ], }, { 'teams': { 'bar-team': 'push', }, 'apps': { 'snyk': True, }, 'repos': [ 'project-e', ], }, ] repos = snyk_access.repos_to_import(data) assert sorted(repos) == [ 'project-a', 'project-b', 'project-c', 'project-d', 'project-e', ] def test_snyk_app_in_two_blocks_enabled_and_listed(self): data = [ { 'teams': { 'foo-team': 'pull', }, 'apps': { 'snyk': [ 'project-a', 'project-b', ], }, 'repos': [ 'project-a', 'project-b', 'project-c', 'project-d', ], }, { 'teams': { 'bar-team': 'push', }, 'apps': { 'snyk': True, }, 'repos': [ 'project-e', ], }, ] repos = snyk_access.repos_to_import(data) assert sorted(repos) == ['project-a', 'project-b', 'project-e'] def test_snyk_app_in_two_blocks(self): data = [ { 'teams': { 'foo-team': 'pull', }, 'apps': { 'snyk': [ 'project-a', 'project-b', ], }, 'repos': [ 'project-a', 'project-b', 'project-c', 'project-d', ], }, { 'teams': { 'bar-team': 'push', }, 'apps': { 'snyk': [ 'project-e', ], }, 'repos': [ 'project-e', ], }, ] repos = snyk_access.repos_to_import(data) assert sorted(repos) == ['project-a', 'project-b', 'project-e'] class TestSnykAccess(unittest.TestCase): @patch('snyk_access.Snyk') @patch.dict('snyk_access.os.environ', {'SNYK_TOKEN': 'token'}) def test_project_import(self, Snyk): snyk_client = MagicMock(spec=snyk.Snyk) http_client = MagicMock(spec=snyk.HTTPClient) group = MagicMock(spec=snyk.Group) orgs = [ snyk.Org(http_client, f'team-{i}', str(i), group) for i in range(10) ] org_name = 'myorg' org = MagicMock(spec=snyk.Org) org.client = http_client org.name = org_name org.id = '42' org.group = group orgs.append(org) snyk_client.orgs.return_value = orgs Snyk.return_value = snyk_client data = [ { 'teams': { 'foo-team': 'pull', }, 'apps': { 'snyk': [ 'project-a', 'project-b', ], }, 'repos': [ 'project-a', 'project-b', 'project-c', 'project-d', ], }, { 'teams': { 'bar-team': 'push', }, 'repos': [ 'project-e', ], }, ] with patch( 'snyk_access.open', mock_open(read_data=json.dumps(data)), ) as open_: snyk_access.main('owner', 'myorg', 'access.json') open_.assert_called_once_with('access.json') assert org.import_github_project.call_count == 2 org.import_github_project.assert_has_calls([ call('owner', 'project-a'), call('owner', 'project-b'), ]) @patch('snyk_access.Snyk') @patch.dict('snyk_access.os.environ', {'SNYK_TOKEN': 'token'}) def test_remove_projects_not_listed(self, Snyk): snyk_client = MagicMock(spec=snyk.Snyk) http_client = MagicMock(spec=snyk.HTTPClient) group = MagicMock(spec=snyk.Group) orgs = [ snyk.Org(http_client, f'team-{i}', str(i), group) for i in range(10) ] org_name = 'myorg' org = MagicMock(spec=snyk.Org) org.client = http_client org.name = org_name org.id = '42' org.group = group org.projects = [ snyk.Project( http_client, { 'id': '1', 'name': 'owner/project-c:requirements.txt', 'origin': 'github', }, org, ), snyk.Project( http_client, { 'id': '2', 'name': 'owner/project-d:requirements.txt', 'origin': 'github', }, org, ), snyk.Project( http_client, { 'id': '3', 'name': 'project-x', 'origin': 'cli', }, org, ), ] orgs.append(org) snyk_client.orgs.return_value = orgs Snyk.return_value = snyk_client data = [ { 'teams': { 'foo-team': 'pull', }, 'apps': { 'snyk': [ 'project-a', 'project-b', ], }, 'repos': [ 'project-a', 'project-b', 'project-c', 'project-d', ], }, { 'teams': { 'bar-team': 'push', }, 'repos': [ 'project-e', ], }, ] with patch('snyk_access.open', mock_open(read_data=json.dumps(data))): snyk_access.main('owner', 'myorg', 'access.json') assert http_client.delete.call_count == 2 http_client.delete.assert_has_calls([ call('org/42/project/1'), call('org/42/project/2'), ])

26.890909

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686

8,874

4.405248

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0.079418

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8,874

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null

0

1

0

1

0

null

0

6

a872f7d837249591890121d5033e96952f4dd3e1

28

py

Python

taskqueue_cli/__init__.py

supersergiy/python-task-queue

5438f454f7753cedb60893089b9af44908022f88

[ "BSD-3-Clause" ]

18

2019-01-25T14:54:44.000Z

2022-02-22T19:58:41.000Z

taskqueue_cli/__init__.py

supersergiy/python-task-queue

5438f454f7753cedb60893089b9af44908022f88

[ "BSD-3-Clause" ]

21

2018-10-16T14:09:10.000Z

2022-02-11T18:35:45.000Z

taskqueue_cli/__init__.py

supersergiy/python-task-queue

5438f454f7753cedb60893089b9af44908022f88

[ "BSD-3-Clause" ]

9

2019-01-25T21:49:21.000Z

2021-12-21T09:52:39.000Z

from .taskqueue_cli import *

28

0.821429

4

28

5.5

1

0

0.107143

28

1

28

0.88

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1

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null

0

1

0

1

0

1

0

6

a8a83564f564c964df1891d39b91eb8141103275

151

py

Python

day2-task2.py

anoop123gupta/Amar_exercise

43fe2897004b0a4f6f2bcf5a4ab2464d04c075e1

[ "MIT" ]

6

2019-03-03T06:07:55.000Z

2019-03-03T06:51:09.000Z

day2-task2.py

anoop123gupta/Amar_exercise

43fe2897004b0a4f6f2bcf5a4ab2464d04c075e1

[ "MIT" ]

null

day2-task2.py

anoop123gupta/Amar_exercise

43fe2897004b0a4f6f2bcf5a4ab2464d04c075e1

[ "MIT" ]

null

user=raw_input(" Enter String ") a=user[-3:] if user[-2:] =='ly': print user elif a!='ing': print user+'ing' elif a=='ing': print user+'ly'

18.875

32

0.576159

26

151

3.307692

0.5

0.313953

0.186047

0.302326

0.395349

0

0.016393

0.192053

151

8

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18.875

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null

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1

0

null

1

0

1

0

null

0

1

0

6

a8c168ff20506b0753ded03fcbce800bde82a218

379

py

Python

Plugins/UnrealEnginePython/Binaries/Win64/Lib/site-packages/tensorflow/_api/v1/keras/datasets/reuters/__init__.py

JustinACoder/H22-GR3-UnrealAI

361eb9ef1147f8a2991e5f98c4118cd823184adf

[ "MIT" ]

6

2022-02-04T18:12:24.000Z

2022-03-21T23:57:12.000Z

Lib/site-packages/tensorflow/_api/v1/keras/datasets/reuters/__init__.py

shfkdroal/Robot-Learning-in-Mixed-Adversarial-and-Collaborative-Settings

1fa4cd6a566c8745f455fc3d2273208f21f88ced

[ "bzip2-1.0.6" ]

null

Lib/site-packages/tensorflow/_api/v1/keras/datasets/reuters/__init__.py

shfkdroal/Robot-Learning-in-Mixed-Adversarial-and-Collaborative-Settings

1fa4cd6a566c8745f455fc3d2273208f21f88ced

[ "bzip2-1.0.6" ]

1

2022-02-08T03:53:23.000Z

# This file is MACHINE GENERATED! Do not edit. # Generated by: tensorflow/python/tools/api/generator/create_python_api.py script. """Reuters topic classification dataset. """ from __future__ import print_function from tensorflow.python.keras.datasets.reuters import get_word_index from tensorflow.python.keras.datasets.reuters import load_data del print_function

29.153846

83

0.799472

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379

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0.171233

0.315068

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84

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0

1

0

1

0

6

763f61ad9a317443c8a1c5e65c3b74ad7823e432

3,316

py

Python

tests/test_link.py

asavinov/lambdo

202b530b9bc20658782ae7bc62c15062e9213383

[ "MIT" ]

287

2018-07-15T08:06:45.000Z

2022-02-26T10:02:45.000Z

tests/test_link.py

asavinov/lambdo

202b530b9bc20658782ae7bc62c15062e9213383

[ "MIT" ]

null

tests/test_link.py

asavinov/lambdo

202b530b9bc20658782ae7bc62c15062e9213383

[ "MIT" ]

16

2018-09-12T12:42:26.000Z

2022-02-16T07:28:48.000Z

import unittest from lambdo.Workflow import * class LinkTestCase(unittest.TestCase): def setUp(self): pass def test_one_key(self): # # One key to another table # wf_json = { "id": "My workflow", "tables": [ { "id": "Table 1", "columns": [ { "id": "My Link", "operation": "link", "keys": ["A"], "linked_table": "Table 2", "linked_keys": ["B"] } ] }, { "id": "Table 2", "operation": "noop", "columns": [ ] } ] } wf = Workflow(wf_json) # Main table df = pd.DataFrame({'A': ['a', 'a', 'b', 'b']}) main_tb = wf.tables[0] main_tb.data = df # Secondary table (more data than used in the main table) df = pd.DataFrame({'B': ['a', 'b', 'c'], 'C': [1, 2, 3]}) sec_tb = wf.tables[1] sec_tb.data = df wf.execute() merged_tb = wf.tables[0] self.assertEqual(len(merged_tb.data), 4) # Same number of rows self.assertEqual(len(merged_tb.data.columns), 2) link_column = main_tb.data['My Link'] self.assertEqual(link_column[0], 0) self.assertEqual(link_column[1], 0) self.assertEqual(link_column[2], 1) self.assertEqual(link_column[3], 1) def test_two_keys(self): # # One key to another table # wf_json = { "id": "My workflow", "tables": [ { "id": "Table 1", "columns": [ { "id": "My Link", "operation": "link", "keys": ["A", "B"], "linked_table": "Table 2", "linked_keys": ["A", "B"] } ] }, { "id": "Table 2", "operation": "noop", "columns": [ ] } ] } wf = Workflow(wf_json) # Main table df = pd.DataFrame({'A': ['a', 'b', 'b', 'a'], 'B': ['b', 'c', 'c', 'a']}) main_tb = wf.tables[0] main_tb.data = df # Secondary table (more data than used in the main table) df = pd.DataFrame({'A': ['a', 'b', 'a'], 'B': ['b', 'c', 'c'], 'C': [1, 2, 3]}) sec_tb = wf.tables[1] sec_tb.data = df wf.execute() merged_tb = wf.tables[0] self.assertEqual(len(merged_tb.data), 4) # Same number of rows self.assertEqual(len(merged_tb.data.columns), 3) link_column = main_tb.data['My Link'] self.assertEqual(link_column[0], 0) self.assertEqual(link_column[1], 1) self.assertEqual(link_column[2], 1) self.assertTrue(pd.isna(link_column[3])) if __name__ == '__main__': unittest.main()

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331

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null

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null

0

6

7646269922217f0d7887740e675a5f01dbd3d3a1

358

py

Python

nanome_postgnome/menus/__init__.py

nanome-ai/plugin-post-nome

1b87bfd54b244c15126b40d502fd17f617a4bc29

[ "MIT" ]

1

2020-03-06T14:24:20.000Z

nanome_postgnome/menus/__init__.py

nanome-ai/plugin-post-nome

1b87bfd54b244c15126b40d502fd17f617a4bc29

[ "MIT" ]

1

2021-02-22T17:56:11.000Z

nanome_postgnome/menus/__init__.py

nanome-ai/plugin-postgnome

1b87bfd54b244c15126b40d502fd17f617a4bc29

[ "MIT" ]

1

2020-03-23T17:12:04.000Z

from .ResponseConfigurationMenu import ResponseConfigurationMenu from .ResourceConfigurationMenu import ResourceConfigurationMenu from .RequestConfigurationMenu import RequestConfigurationMenu from .RequestsMenu import RequestsMenu from .ResourcesMenu import ResourcesMenu from .MakeRequestMenu import MakeRequestMenu from .VariablesMenu import VariablesMenu

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65

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null

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1

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1

0

1

0

6

7655f55f76ce434f4c0f380c7a9800dd87922290

113

py

Python

mmdet/version.py

floatingstarZ/loc_cls_exp

8b971db671753d3571914aaa760cc13ac47018e8

[ "Apache-2.0" ]

null

mmdet/version.py

floatingstarZ/loc_cls_exp

8b971db671753d3571914aaa760cc13ac47018e8

[ "Apache-2.0" ]

null

mmdet/version.py

floatingstarZ/loc_cls_exp

8b971db671753d3571914aaa760cc13ac47018e8

[ "Apache-2.0" ]

null

# GENERATED VERSION FILE # TIME: Fri Feb 21 14:03:52 2020 __version__ = '1.0.0+unknown' short_version = '1.0.0'

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0.27027

0

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5

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0

null

1

0

1

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null

0

6

765b44728905893edf76bb510828a7c7e6abf093

54

py

Python

elliot/evaluation/metrics/accuracy/f1/__init__.py

gategill/elliot

113763ba6d595976e14ead2e3d460d9705cd882e

[ "Apache-2.0" ]

175

2021-03-04T15:46:25.000Z

2022-03-31T05:56:58.000Z

elliot/evaluation/metrics/accuracy/f1/__init__.py

gategill/elliot

113763ba6d595976e14ead2e3d460d9705cd882e

[ "Apache-2.0" ]

15

2021-03-06T17:53:56.000Z

2022-03-24T17:02:07.000Z

elliot/evaluation/metrics/accuracy/f1/__init__.py

gategill/elliot

113763ba6d595976e14ead2e3d460d9705cd882e

[ "Apache-2.0" ]

39

2021-03-04T15:46:26.000Z

2022-03-09T15:37:12.000Z

from .f1 import F1 from .extended_f1 import ExtendedF1

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1

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1

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1

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6

767523df6057e6d3e20f29143d4f71936431a06a

90

py

Python

stock_me/commands/suggest.py

Vaibhav/stock-me

1d5398ceb571afbf8dca2b07aa0ea60c8a185f4b

[ "MIT" ]

1

2018-07-05T05:45:05.000Z

stock_me/commands/suggest.py

Vaibhav/stock-me

1d5398ceb571afbf8dca2b07aa0ea60c8a185f4b

[ "MIT" ]

null

stock_me/commands/suggest.py

Vaibhav/stock-me

1d5398ceb571afbf8dca2b07aa0ea60c8a185f4b

[ "MIT" ]

1

2018-09-18T09:44:07.000Z

#!/usr/bin/env python import ystockquote def run(stocks): # suggest stocks pass

11.25

21

0.677778

12

90

5.083333

0.916667

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0.222222

90

7

22

12.857143

0.871429

0.388889

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false

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null

0

1

0

1

0

1

0

6

76994d9e63e1060b8503aeba00d05b708a102a1c

10,149

py

Python

tests/test_goes.py

clintecker/supercell

6baa174c8fca1a6f805d3853bdcf9cd5148b53ca

[ "MIT" ]

null

tests/test_goes.py

clintecker/supercell

6baa174c8fca1a6f805d3853bdcf9cd5148b53ca

[ "MIT" ]

1

2020-09-06T19:45:25.000Z

tests/test_goes.py

clintecker/supercell

6baa174c8fca1a6f805d3853bdcf9cd5148b53ca

[ "MIT" ]

null

"""Supercell Package Tests""" # Standard Library import datetime import tempfile import unittest # Third Party Code import responses # Supercell Code from supercell import goes class SupercellGoesTestSuite(unittest.TestCase): def test_get_image_data(self): d = goes.get_image_data( "https:/doesnt.matter.com/GOES16/ABI/SECTOR/sec/Band/20201011012_GOES16-ABI-sec-band-600x600.jpg" ) self.assertEqual( { "t_year": 2020, "t_daynum": 101, "t_hour": "10", "t_minute": "12", "i_width": 600, "i_height": 600, "sat_num": 16, "sector": "sec", "band": "Band", }, d, ) def test_get_image_data_bad_url(self): d = goes.get_image_data("https:/doesnt.matter.com/something_different.jpg") self.assertEqual({}, d) @responses.activate def test_does_exist(self): responses.add( method=responses.HEAD, url="https://example.com/bloop.jpg", status=200 ) responses.add( method=responses.HEAD, url="https://example.com/nope.png", status=404 ) self.assertTrue(goes.does_exist("https://example.com/bloop.jpg")) self.assertFalse(goes.does_exist("https://example.com/nope.png")) def test_image_url_from_data(self): d = goes.get_image_data( "https:/doesnt.matter.com/GOES16/ABI/SECTOR/sec/Band/20201011012_GOES16-ABI-sec-band-600x600.jpg" ) d["i_width"] = 2100 d["i_height"] = 2100 self.assertEqual( "https://cdn.star.nesdis.noaa.gov/GOES16/ABI/SECTOR/sec/Band/20201011012_GOES16-ABI-sec-Band-2100x2100" ".jpg", goes.image_url_from_data(d), ) def test_in_cache(self): with tempfile.NamedTemporaryFile(mode="r") as f: f_parts = f.name.split("/") directory = "/".join(f_parts[:-1]) key = f_parts[-1] full_key = goes.in_cache(key=key, directory=directory) self.assertEqual(f.name, str(full_key)) with self.assertRaises(ValueError): goes.in_cache(key="the_key.txt", directory="/tmp") with self.assertRaises(ValueError): goes.in_cache(key="the_key.txt", directory="/tmp/bloop") def test_store_in_cache(self): with tempfile.TemporaryDirectory() as d: goes.store_in_cache(key="bloop.txt", directory=d, data=b"1234567890") goes.in_cache(key="bloop.txt", directory=d) # After context, file is deleted, so no longer is in cache with self.assertRaises(ValueError): goes.in_cache(key="bloop.txt", directory=d) @responses.activate def test_full_day_images(self): html = """<html> <head><title>Index of /cdn02/GOES/data/GOES16/ABI/SECTOR/nr/GEOCOLOR/</title></head> <body> <h1>Index of /cdn02/GOES/data/GOES16/ABI/SECTOR/nr/GEOCOLOR/</h1><hr><pre><a href="../">../</a> <a href="1200x1200.jpg">1200x1200.jpg</a> 01-Jun-2020 20:03 1227726 <a href="20201222001_GOES16-ABI-nr-GEOCOLOR-1200x1200.jpg">20201222001_GOES16-ABI-nr-GEOCOLOR-1200x1200.jpg</a> 28-May-2020 20:07 1313965 <a href="20201222001_GOES16-ABI-nr-GEOCOLOR-2400x2400.jpg">20201222001_GOES16-ABI-nr-GEOCOLOR-2400x2400.jpg</a> 28-May-2020 20:07 4457998 <a href="20201222001_GOES16-ABI-nr-GEOCOLOR-300x300.jpg">20201222001_GOES16-ABI-nr-GEOCOLOR-300x300.jpg</a> 28-May-2020 20:07 105850 <a href="20201222001_GOES16-ABI-nr-GEOCOLOR-600x600.jpg">20201222001_GOES16-ABI-nr-GEOCOLOR-600x600.jpg</a> 28-May-2020 20:07 378507 <a href="20201222006_GOES16-ABI-nr-GEOCOLOR-1200x1200.jpg">20201222006_GOES16-ABI-nr-GEOCOLOR-1200x1200.jpg</a> 28-May-2020 20:11 1316732 <a href="20201222006_GOES16-ABI-nr-GEOCOLOR-2400x2400.jpg">20201222006_GOES16-ABI-nr-GEOCOLOR-2400x2400.jpg</a> 28-May-2020 20:11 4470444 <a href="20201222006_GOES16-ABI-nr-GEOCOLOR-300x300.jpg">20201222006_GOES16-ABI-nr-GEOCOLOR-300x300.jpg</a> 28-May-2020 20:11 106199 <a href="20201222006_GOES16-ABI-nr-GEOCOLOR-600x600.jpg">20201222006_GOES16-ABI-nr-GEOCOLOR-600x600.jpg</a> 28-May-2020 20:11 379714 <a href="20201222011_GOES16-ABI-nr-GEOCOLOR-1200x1200.jpg">20201222011_GOES16-ABI-nr-GEOCOLOR-1200x1200.jpg</a> 28-May-2020 20:16 1320366 <a href="2400x2400.jpg">2400x2400.jpg</a> 01-Jun-2020 20:03 4124628 <a href="600x600.jpg">600x600.jpg</a> 01-Jun-2020 20:03 361617 <a href="GOES16-NR-GEOCOLOR-600x600.gif">GOES16-NR-GEOCOLOR-600x600.gif</a> 01-Jun-2020 20:00 13666927 <a href="latest.jpg">latest.jpg</a> 01-Jun-2020 20:03 4124628 <a href="thumbnail.jpg">thumbnail.jpg</a> 01-Jun-2020 20:03 103347 </pre><hr></body> </html>""" first_day_html = """<html> <head><title>Index of /cdn02/GOES/data/GOES16/ABI/SECTOR/yy/GEOCOLOR/</title></head> <body> <h1>Index of /cdn02/GOES/data/GOES16/ABI/SECTOR/yy/GEOCOLOR/</h1><hr><pre><a href="../">../</a> <a href="1200x1200.jpg">1200x1200.jpg</a> 01-Jun-2020 20:03 1227726 <a href="202012001_GOES16-ABI-yy-GEOCOLOR-1200x1200.jpg">20200012001_GOES16-ABI-yy-GEOCOLOR-1200x1200.jpg</a> 28-May-2020 20:07 1313965 <a href="202012001_GOES16-ABI-yy-GEOCOLOR-2400x2400.jpg">20200012001_GOES16-ABI-yy-GEOCOLOR-2400x2400.jpg</a> 28-May-2020 20:07 4457998 <a href="202012001_GOES16-ABI-yy-GEOCOLOR-300x300.jpg">20200012001_GOES16-ABI-yy-GEOCOLOR-300x300.jpg</a> 28-May-2020 20:07 105850 <a href="20193662001_GOES16-ABI-yy-GEOCOLOR-600x600.jpg">20200012001_GOES16-ABI-yy-GEOCOLOR-600x600.jpg</a> 28-May-2020 20:07 378507 <a href="20193662306_GOES16-ABI-yy-GEOCOLOR-1200x1200.jpg">20200012006_GOES16-ABI-yy-GEOCOLOR-1200x1200.jpg</a> 28-May-2020 20:11 1316732 <a href="20193662306_GOES16-ABI-yy-GEOCOLOR-2400x2400.jpg">20200012006_GOES16-ABI-yy-GEOCOLOR-2400x2400.jpg</a> 28-May-2020 20:11 4470444 <a href="20193662306_GOES16-ABI-yy-GEOCOLOR-300x300.jpg">20200012006_GOES16-ABI-yy-GEOCOLOR-300x300.jpg</a> 28-May-2020 20:11 106199 <a href="20193662006_GOES16-ABI-yy-GEOCOLOR-600x600.jpg">20200012006_GOES16-ABI-yy-GEOCOLOR-600x600.jpg</a> 28-May-2020 20:11 379714 <a href="20193662311_GOES16-ABI-yy-GEOCOLOR-1200x1200.jpg">20200012011_GOES16-ABI-yy-GEOCOLOR-1200x1200.jpg</a> 28-May-2020 20:16 1320366 <a href="2400x2400.jpg">2400x2400.jpg</a> 01-Jun-2020 20:03 4124628 <a href="600x600.jpg">600x600.jpg</a> 01-Jun-2020 20:03 361617 <a href="GOES16-yy-GEOCOLOR-600x600.gif">GOES16-yy-GEOCOLOR-600x600.gif</a> 01-Jun-2020 20:00 13666927 <a href="latest.jpg">latest.jpg</a> 01-Jun-2020 20:03 4124628 <a href="thumbnail.jpg">thumbnail.jpg</a> 01-Jun-2020 20:03 103347 </pre><hr></body> </html>""" responses.add( responses.GET, "https://cdn.star.nesdis.noaa.gov/GOES16/ABI/SECTOR/nr/GEOCOLOR/", body=html, status=200, ) responses.add( responses.GET, "https://cdn.star.nesdis.noaa.gov/GOES16/ABI/SECTOR/xx/GEOCOLOR/", body=None, status=500, ) responses.add( responses.GET, "https://cdn.star.nesdis.noaa.gov/GOES16/ABI/SECTOR/yy/GEOCOLOR/", body=first_day_html, ) urls = goes.full_day_images( sat="G16", sector="nr", band="GEOCOLOR", size=1200, anchor_datetime=datetime.datetime(2020, 5, 1, 20, 30, 21), ) self.assertEqual( [ "https://cdn.star.nesdis.noaa.gov/GOES16/ABI/SECTOR/nr/GEOCOLOR/20201222001_GOES16-ABI-nr-GEOCOLOR" "-1200x1200.jpg", "https://cdn.star.nesdis.noaa.gov/GOES16/ABI/SECTOR/nr/GEOCOLOR/20201222006_GOES16-ABI-nr-GEOCOLOR" "-1200x1200.jpg", "https://cdn.star.nesdis.noaa.gov/GOES16/ABI/SECTOR/nr/GEOCOLOR/20201222011_GOES16-ABI-nr-GEOCOLOR" "-1200x1200.jpg", ], urls, ) self.assertEqual( [], goes.full_day_images( sat="G16", sector="xx", band="GEOCOLOR", size=1200, anchor_datetime=datetime.datetime(2020, 5, 1, 20, 30, 21), ), ) self.maxDiff = 1024 u = goes.full_day_images( sat="G16", sector="yy", band="GEOCOLOR", size=1200, anchor_datetime=datetime.datetime(2020, 1, 1, 20, 30, 21), ) self.assertEqual( [ "https://cdn.star.nesdis.noaa.gov/GOES16/ABI/SECTOR/yy/GEOCOLOR/20193662306_GOES16-ABI-yy-" "GEOCOLOR-1200x1200.jpg", "https://cdn.star.nesdis.noaa.gov/GOES16/ABI/SECTOR/yy/GEOCOLOR/20193662311_GOES16-ABI-yy-" "GEOCOLOR-1200x1200.jpg", "https://cdn.star.nesdis.noaa.gov/GOES16/ABI/SECTOR/yy/GEOCOLOR/20200012001_GOES16-ABI-yy-" "GEOCOLOR-1200x1200.jpg", "https://cdn.star.nesdis.noaa.gov/GOES16/ABI/SECTOR/yy/GEOCOLOR/20200012006_GOES16-ABI-yy-" "GEOCOLOR-1200x1200.jpg", "https://cdn.star.nesdis.noaa.gov/GOES16/ABI/SECTOR/yy/GEOCOLOR/20200012011_GOES16-ABI-yy-" "GEOCOLOR-1200x1200.jpg", ], u, )

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0.074523

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0.270273

10,149

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0.411168

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0.243655

0.631868

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0.060914

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0.035533

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0.025381

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0.06599

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null

0

1

0

1

0

1

0

null

0

6

76a8d06dfe8b04f7b10b6442b036a35686106655

44

py

Python

model/spacy/dffml_model_spacy/accuracy/__init__.py

agriyakhetarpal/dffml

f76f2ce94c3972634053377b00e7c16530f7f0a4

[ "MIT" ]

171

2019-03-08T19:02:06.000Z

2022-03-29T16:17:23.000Z

model/spacy/dffml_model_spacy/accuracy/__init__.py

agriyakhetarpal/dffml

f76f2ce94c3972634053377b00e7c16530f7f0a4

[ "MIT" ]

1,158

2019-03-08T19:07:50.000Z

2022-03-25T08:28:27.000Z

model/spacy/dffml_model_spacy/accuracy/__init__.py

agriyakhetarpal/dffml

f76f2ce94c3972634053377b00e7c16530f7f0a4

[ "MIT" ]

183

2019-03-10T02:40:56.000Z

2022-03-27T18:51:26.000Z

from .sner_accuracy import SpacyNerAccuracy

22

43

0.886364

5

44

7.6

1

0

0.090909

44

1

44

0.95

0

1

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true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

76c42e41718858c437f4328c4d3282165e9322ad

130

py

Python

chainer_openpose/datasets/fashion_landmark/__init__.py

iory/chainer-openpose

020cf7c6946ecaa3e110d937a73565f4e76e3c42

[ "MIT" ]

3

2020-10-20T12:58:48.000Z

2020-10-20T20:38:27.000Z

chainer_openpose/datasets/fashion_landmark/__init__.py

iory/chainer-openpose

020cf7c6946ecaa3e110d937a73565f4e76e3c42

[ "MIT" ]

null

chainer_openpose/datasets/fashion_landmark/__init__.py

iory/chainer-openpose

020cf7c6946ecaa3e110d937a73565f4e76e3c42

[ "MIT" ]

null

from chainer_openpose.datasets.fashion_landmark.fashion_landmark_keypoints_dataset import FashionLandmarkKeypointsDataset # NOQA

65

129

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13

130

8.769231

0.846154

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0

0.053846

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0

1

0

true

0

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1

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1

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null

1

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0

1

0

null

0

1

0

1

0

6

76c92e7cbcc1fcefeaa15ca4e61c97dd8dc57ca8

54,611

py

Python

tests/test_physical_numpyfuncs.py

juliotux/astropop

cb8e5b7527fe04de82d1322615c78510bf0ae5b0

[ "BSD-3-Clause" ]

10

2018-05-30T19:18:58.000Z

2021-07-27T08:15:51.000Z

tests/test_physical_numpyfuncs.py

sparc4-dev/astropop

6d329f09e2274490dc15b2a41d0c5e43c37ee955

[ "BSD-3-Clause" ]

8

2021-06-16T15:52:50.000Z

2022-03-30T21:27:38.000Z

tests/test_physical_numpyfuncs.py

juliotux/astropop

cb8e5b7527fe04de82d1322615c78510bf0ae5b0

[ "BSD-3-Clause" ]

9

2019-06-20T00:33:34.000Z

2022-03-03T21:52:47.000Z

# Licensed under a 3-clause BSD style license - see LICENSE.rst import numpy as np import pytest from astropop.math.physical import QFloat, UnitsError, units from astropop.testing import assert_almost_equal, assert_equal from packaging import version # Testing qfloat compatibility with Numpy ufuncs and array functions. class TestQFloatNumpyArrayFuncs: """Test numpy array functions for numpy comatibility.""" def test_qfloat_np_append(self): qf1 = QFloat([1.0, 2.0, 3.0], [0.1, 0.2, 0.3], unit="m") qf2 = QFloat([1.0], [0.1], unit="km") qf3 = QFloat(1.0, 0.1, unit="km") qf4 = QFloat(0, 0) qf = np.append(qf1, qf1) assert_equal(qf.nominal, [1.0, 2.0, 3.0, 1.0, 2.0, 3.0]) assert_equal(qf.std_dev, [0.1, 0.2, 0.3, 0.1, 0.2, 0.3]) assert_equal(qf.unit, qf1.unit) # This should work and convert the unit. qf = np.append(qf1, qf2) assert_equal(qf.nominal, [1.0, 2.0, 3.0, 1000.0]) assert_equal(qf.std_dev, [0.1, 0.2, 0.3, 100.0]) assert_equal(qf.unit, qf1.unit) # Also this should work and convert the unit in the same way. qf = np.append(qf1, qf3) assert_equal(qf.nominal, [1.0, 2.0, 3.0, 1000.0]) assert_equal(qf.std_dev, [0.1, 0.2, 0.3, 100.0]) assert_equal(qf.unit, qf1.unit) # This should fail due to unit with pytest.raises(UnitsError): qf = np.append(qf1, qf4) # Testing with axis qf1 = QFloat([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], [[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]], "m",) qf = np.append(qf1, QFloat([[8.0], [9.0]], [[0.8], [0.9]], "m"), axis=1) assert_equal(qf.nominal, [[1.0, 2.0, 3.0, 8.0], [4.0, 5.0, 6.0, 9.0]]) assert_equal(qf.std_dev, [[0.1, 0.2, 0.3, 0.8], [0.4, 0.5, 0.6, 0.9]]) qf = np.append(qf1, QFloat([[7.0, 8.0, 9.0]], [[0.7, 0.8, 0.9]], "m"), axis=0) assert_equal(qf.nominal, [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]]) assert_equal(qf.std_dev, [[0.1, 0.2, 0.3], [0.4, 0.5, 0.6], [0.7, 0.8, 0.9]]) def test_qfloat_np_around(self): # single case qf = np.around(QFloat(1.02549, 0.135964)) assert_equal(qf.nominal, 1) assert_equal(qf.std_dev, 0) qf = np.around(QFloat(1.02549, 0.135964), decimals=2) assert_equal(qf.nominal, 1.03) assert_equal(qf.std_dev, 0.14) # just check array too qf = np.around(QFloat([1.03256, 2.108645], [0.01456, 0.594324]), decimals=2) assert_equal(qf.nominal, [1.03, 2.11]) assert_equal(qf.std_dev, [0.01, 0.59]) def test_qfloat_np_atleast_1d(self): # This function is not implemented, so should raise with pytest.raises(TypeError): np.atleast_1d(QFloat([1.0, 2.0], [0.1, 0.2], "m")) def test_qfloat_np_atleast_2d(self): # This function is not implemented, so should raise with pytest.raises(TypeError): np.atleast_2d(QFloat([1.0, 2.0], [0.1, 0.2], "m")) def test_qfloat_np_atleast_3d(self): # This function is not implemented, so should raise with pytest.raises(TypeError): np.atleast_3d(QFloat([1.0, 2.0], [0.1, 0.2], "m")) @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_broadcast(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_broadcast_to(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_ceil(self): raise NotImplementedError def test_qfloat_np_clip(self): arr = np.arange(10) qf = QFloat(arr, arr * 0.1, "m") res = np.clip(qf, 2, 8) tgt = [2, 2, 2, 3, 4, 5, 6, 7, 8, 8] assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, arr * 0.1) assert_equal(qf.unit, res.unit) @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_columnstack(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_concatenate(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_copyto(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_cross(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_cumprod(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_cumsum(self): raise NotImplementedError def test_qfloat_np_delete(self): a = np.array([[1.0, 2.0, 3.0, 4.0], [5.0, 6.0, 7.0, 8.0], [9.0, 10.0, 11.0, 12.0]]) qf = QFloat(a, a * 0.1, "m") res1 = np.delete(qf, 1, axis=0) assert_almost_equal(res1.nominal, [[1.0, 2.0, 3.0, 4.0], [9.0, 10.0, 11.0, 12.0]]) assert_almost_equal(res1.std_dev, [[0.1, 0.2, 0.3, 0.4], [0.9, 1.0, 1.1, 1.2]]) assert_equal(res1.unit, qf.unit) res2 = np.delete(qf, 1, axis=1) assert_almost_equal(res2.nominal, [[1.0, 3.0, 4.0], [5.0, 7.0, 8.0], [9.0, 11.0, 12.0]]) assert_almost_equal(res2.std_dev, [[0.1, 0.3, 0.4], [0.5, 0.7, 0.8], [0.9, 1.1, 1.2]]) assert_equal(res2.unit, qf.unit) res3 = np.delete(qf, np.s_[::2], 1) assert_almost_equal(res3.nominal, [[2.0, 4.0], [6.0, 8.0], [10.0, 12.0]]) assert_almost_equal(res3.std_dev, [[0.2, 0.4], [0.6, 0.8], [1.0, 1.2]]) assert_equal(res3.unit, qf.unit) res4 = np.delete(qf, [1, 3, 5]) assert_almost_equal(res4.nominal, [1.0, 3.0, 5.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0]) assert_almost_equal(res4.std_dev, [0.1, 0.3, 0.5, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2]) assert_equal(res4.unit, qf.unit) @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_diff(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_dstack(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_ediff1d(self): raise NotImplementedError def test_qfloat_np_expand_dims(self): qf = QFloat(1.0, 0.1, "m") res1 = np.expand_dims(qf, axis=0) assert_almost_equal(res1.nominal, [1.0]) assert_almost_equal(res1.std_dev, [0.1]) assert_equal(res1.unit, qf.unit) assert_equal(res1.shape, (1,)) qf = QFloat([1.0, 2.0], [0.1, 0.2], "m") res2 = np.expand_dims(qf, axis=0) assert_almost_equal(res2.nominal, [[1.0, 2.0]]) assert_almost_equal(res2.std_dev, [[0.1, 0.2]]) assert_equal(res2.unit, qf.unit) assert_equal(res2.shape, (1, 2)) res3 = np.expand_dims(qf, axis=1) assert_almost_equal(res3.nominal, [[1.0], [2.0]]) assert_almost_equal(res3.std_dev, [[0.1], [0.2]]) assert_equal(res3.unit, qf.unit) assert_equal(res3.shape, (2, 1)) if version.parse(np.version.full_version) >= version.parse('1.18.0'): res4 = np.expand_dims(qf, axis=(2, 0)) assert_almost_equal(res4.nominal, [[[1.0], [2.0]]]) assert_almost_equal(res4.std_dev, [[[0.1], [0.2]]]) assert_equal(res4.unit, qf.unit) assert_equal(res4.shape, (1, 2, 1)) def test_qfloat_np_flip(self): a = np.arange(8).reshape((2, 2, 2)) qf = QFloat(a, a * 0.1, "m") res1 = np.flip(qf) assert_equal(res1.nominal, a[::-1, ::-1, ::-1]) assert_equal(res1.std_dev, a[::-1, ::-1, ::-1] * 0.1) assert_equal(res1.unit, qf.unit) res2 = np.flip(qf, 0) assert_equal(res2.nominal, a[::-1, :, :]) assert_equal(res2.std_dev, a[::-1, :, :] * 0.1) assert_equal(res2.unit, qf.unit) res3 = np.flip(qf, 1) assert_equal(res3.nominal, a[:, ::-1, :]) assert_equal(res3.std_dev, a[:, ::-1, :] * 0.1) assert_equal(res3.unit, qf.unit) res4 = np.flip(qf, 2) assert_equal(res4.nominal, a[:, :, ::-1]) assert_equal(res4.std_dev, a[:, :, ::-1] * 0.1) assert_equal(res4.unit, qf.unit) # just some static check qf = QFloat([[1, 2], [3, 4]], [[0.1, 0.2], [0.3, 0.4]], "m") res5 = np.flip(qf) assert_equal(res5.nominal, [[4, 3], [2, 1]]) assert_equal(res5.std_dev, [[0.4, 0.3], [0.2, 0.1]]) assert_equal(res5.unit, qf.unit) res6 = np.flip(qf, 0) assert_equal(res6.nominal, [[3, 4], [1, 2]]) assert_equal(res6.std_dev, [[0.3, 0.4], [0.1, 0.2]]) assert_equal(res6.unit, qf.unit) res7 = np.flip(qf, 1) assert_equal(res7.nominal, [[2, 1], [4, 3]]) assert_equal(res7.std_dev, [[0.2, 0.1], [0.4, 0.3]]) assert_equal(res7.unit, qf.unit) def test_qfloat_np_fliplr(self): a = np.arange(8).reshape((2, 2, 2)) qf = QFloat(a, a * 0.1, "m") res = np.fliplr(qf) assert_equal(res.nominal, a[:, ::-1, :]) assert_equal(res.std_dev, a[:, ::-1, :] * 0.1) assert_equal(res.unit, qf.unit) qf = QFloat([[1, 2], [3, 4]], [[0.1, 0.2], [0.3, 0.4]], "m") res = np.fliplr(qf) assert_equal(res.nominal, [[2, 1], [4, 3]]) assert_equal(res.std_dev, [[0.2, 0.1], [0.4, 0.3]]) assert_equal(res.unit, qf.unit) def test_qfloat_np_flipud(self): a = np.arange(8).reshape((2, 2, 2)) qf = QFloat(a, a * 0.1, "m") res = np.flipud(qf) assert_equal(res.nominal, a[::-1, :, :]) assert_equal(res.std_dev, a[::-1, :, :] * 0.1) assert_equal(res.unit, qf.unit) qf = QFloat([[1, 2], [3, 4]], [[0.1, 0.2], [0.3, 0.4]], "m") res = np.flipud(qf) assert_equal(res.nominal, [[3, 4], [1, 2]]) assert_equal(res.std_dev, [[0.3, 0.4], [0.1, 0.2]]) assert_equal(res.unit, qf.unit) @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_hstack(self): raise NotImplementedError def test_qfloat_np_insert(self): a = np.array([[1, 2], [3, 4], [5, 6]]) qf = QFloat(a, a * 0.1, "m") res = np.insert(qf, 5, QFloat(999, 0.1, unit="m")) assert_almost_equal(res.nominal, [1, 2, 3, 4, 5, 999, 6]) assert_almost_equal(res.std_dev, [0.1, 0.2, 0.3, 0.4, 0.5, 0.1, 0.6]) assert_equal(res.unit, qf.unit) res = np.insert(qf, 1, QFloat(999, 0.1, unit="m"), axis=1) assert_almost_equal(res.nominal, [[1, 999, 2], [3, 999, 4], [5, 999, 6]]) assert_almost_equal(res.std_dev, [[0.1, 0.1, 0.2], [0.3, 0.1, 0.4], [0.5, 0.1, 0.6]]) assert_equal(res.unit, qf.unit) def test_qfloat_np_moveaxis(self): arr = np.zeros((3, 4, 5)) qf = QFloat(arr, unit='m') res = np.moveaxis(qf, 0, -1) assert_equal(res.shape, (4, 5, 3)) assert_equal(res.unit, qf.unit) res = np.moveaxis(qf, -1, 0) assert_equal(res.shape, (5, 3, 4)) assert_equal(res.unit, qf.unit) res = np.moveaxis(qf, (0, 1), (-1, -2)) assert_equal(res.shape, (5, 4, 3)) assert_equal(res.unit, qf.unit) res = np.moveaxis(qf, [0, 1, 2], [-1, -2, -3]) assert_equal(res.shape, (5, 4, 3)) assert_equal(res.unit, qf.unit) @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_nancumprod(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_nancumsum(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_nanprod(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_nansum(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_prod(self): raise NotImplementedError def test_qfloat_np_ravel(self): arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]]) tgt = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]) qf = QFloat(arr, arr * 0.1, "m") res = np.ravel(qf) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.1) assert_equal(res.unit, qf.unit) def test_qfloat_np_repeat(self): arr = np.array([1, 2, 3]) tgt = np.array([1, 1, 2, 2, 3, 3]) qf = QFloat(arr, arr * 0.1, "m") res = np.repeat(qf, 2) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.1) assert_equal(res.unit, qf.unit) def test_qfloat_np_reshape(self): arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]]) tgt = np.array([[1, 2, 3, 4, 5, 6], [7, 8, 9, 10, 11, 12]]) qf = QFloat(arr, arr * 0.1, "m") res = np.reshape(qf, (2, 6)) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.1) assert_equal(res.unit, qf.unit) assert_equal(res.shape, (2, 6)) def test_qfloat_np_resize(self): arr = np.array([[1, 2], [3, 4]]) qf = QFloat(arr, arr * 0.1, "m") shp = (2, 4) tgt = np.array([[1, 2, 3, 4], [1, 2, 3, 4]]) res = np.resize(qf, shp) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.1) assert_equal(res.unit, qf.unit) assert_equal(res.shape, shp) shp = (4, 2) tgt = np.array([[1, 2], [3, 4], [1, 2], [3, 4]]) res = np.resize(qf, shp) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.1) assert_equal(res.unit, qf.unit) assert_equal(res.shape, shp) shp = (4, 3) tgt = np.array([[1, 2, 3], [4, 1, 2], [3, 4, 1], [2, 3, 4]]) res = np.resize(qf, shp) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.1) assert_equal(res.unit, qf.unit) assert_equal(res.shape, shp) shp = (0,) tgt = np.array([]) res = np.resize(qf, shp) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.1) assert_equal(res.unit, qf.unit) assert_equal(res.shape, shp) def test_qfloat_np_roll(self): arr = np.arange(10) qf = QFloat(arr, arr * 0.01, "m") off = 2 tgt = np.array([8, 9, 0, 1, 2, 3, 4, 5, 6, 7]) res = np.roll(qf, off) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.01) assert_equal(res.unit, qf.unit) off = -2 tgt = np.array([2, 3, 4, 5, 6, 7, 8, 9, 0, 1]) res = np.roll(qf, off) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.01) assert_equal(res.unit, qf.unit) arr = np.arange(12).reshape((4, 3)) qf = QFloat(arr, arr * 0.01, "m") ax = 0 off = 1 tgt = np.array([[9, 10, 11], [0, 1, 2], [3, 4, 5], [6, 7, 8]]) res = np.roll(qf, off, axis=ax) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.01) assert_equal(res.unit, qf.unit) ax = 1 off = 1 tgt = np.array([[2, 0, 1], [5, 3, 4], [8, 6, 7], [11, 9, 10]]) res = np.roll(qf, off, axis=ax) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.01) assert_equal(res.unit, qf.unit) def test_qfloat_np_rollaxis(self): arr = np.ones((3, 4, 5, 6)) qf = QFloat(arr, arr * 0.01, "m") res = np.rollaxis(qf, 3, 1) assert_equal(res.shape, (3, 6, 4, 5)) res = np.rollaxis(qf, 2) assert_equal(res.shape, (5, 3, 4, 6)) res = np.rollaxis(qf, 1, 4) assert_equal(res.shape, (3, 5, 6, 4)) def test_qfloat_np_round(self): # single case qf = np.round(QFloat(1.02549, 0.135964)) assert_equal(qf.nominal, 1) assert_equal(qf.std_dev, 0) qf = np.round(QFloat(1.02549, 0.135964), decimals=2) assert_equal(qf.nominal, 1.03) assert_equal(qf.std_dev, 0.14) # just check array too qf = np.round(QFloat([1.03256, 2.108645], [0.01456, 0.594324]), decimals=2) assert_equal(qf.nominal, [1.03, 2.11]) assert_equal(qf.std_dev, [0.01, 0.59]) def test_qfloat_np_rot90(self): arr = np.array([[0, 1, 2], [3, 4, 5]]) b1 = np.array([[2, 5], [1, 4], [0, 3]]) b2 = np.array([[5, 4, 3], [2, 1, 0]]) b3 = np.array([[3, 0], [4, 1], [5, 2]]) b4 = np.array([[0, 1, 2], [3, 4, 5]]) qf = QFloat(arr, arr * 0.1, "m") for k in range(-3, 13, 4): res = np.rot90(qf, k=k) assert_equal(res.nominal, b1) assert_equal(res.std_dev, b1 * 0.1) assert_equal(res.unit, qf.unit) for k in range(-2, 13, 4): res = np.rot90(qf, k=k) assert_equal(res.nominal, b2) assert_equal(res.std_dev, b2 * 0.1) assert_equal(res.unit, qf.unit) for k in range(-1, 13, 4): res = np.rot90(qf, k=k) assert_equal(res.nominal, b3) assert_equal(res.std_dev, b3 * 0.1) assert_equal(res.unit, qf.unit) for k in range(0, 13, 4): res = np.rot90(qf, k=k) assert_equal(res.nominal, b4) assert_equal(res.std_dev, b4 * 0.1) assert_equal(res.unit, qf.unit) arr = np.arange(8).reshape((2, 2, 2)) qf = QFloat(arr, arr * 0.1, "m") ax = (0, 1) tgt = np.array([[[2, 3], [6, 7]], [[0, 1], [4, 5]]]) res = np.rot90(qf, axes=ax) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.1) assert_equal(res.unit, qf.unit) ax = (1, 2) tgt = np.array([[[1, 3], [0, 2]], [[5, 7], [4, 6]]]) res = np.rot90(qf, axes=ax) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.1) assert_equal(res.unit, qf.unit) ax = (2, 0) tgt = np.array([[[4, 0], [6, 2]], [[5, 1], [7, 3]]]) res = np.rot90(qf, axes=ax) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.1) assert_equal(res.unit, qf.unit) ax = (1, 0) tgt = np.array([[[4, 5], [0, 1]], [[6, 7], [2, 3]]]) res = np.rot90(qf, axes=ax) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.1) assert_equal(res.unit, qf.unit) def test_qfloat_np_shape(self): for shp in [(10,), (11, 12), (11, 12, 13)]: qf = QFloat(np.ones(shp), np.ones(shp), "m") assert_equal(np.shape(qf), shp) def test_qfloat_np_size(self): for shp in [(10,), (11, 12), (11, 12, 13)]: qf = QFloat(np.ones(shp), np.ones(shp), "m") assert_equal(np.size(qf), np.prod(shp)) def test_qfloat_np_squeeze(self): arr = np.array([[[0], [1], [2]]]) qf = QFloat(arr, arr * 0.01, "m") res = np.squeeze(qf) assert_equal(res.shape, (3,)) assert_almost_equal(res.nominal, [0, 1, 2]) assert_almost_equal(res.std_dev, [0, 0.01, 0.02]) assert_equal(res.unit, qf.unit) res = np.squeeze(qf, axis=0) assert_equal(res.shape, (3, 1)) assert_almost_equal(res.nominal, [[0], [1], [2]]) assert_almost_equal(res.std_dev, [[0], [0.01], [0.02]]) assert_equal(res.unit, qf.unit) with pytest.raises(ValueError): np.squeeze(qf, axis=1) res = np.squeeze(qf, axis=2) assert_equal(res.shape, (1, 3)) assert_almost_equal(res.nominal, [[0, 1, 2]]) assert_almost_equal(res.std_dev, [[0, 0.01, 0.02]]) assert_equal(res.unit, qf.unit) @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_sum(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_stack(self): raise NotImplementedError def test_qfloat_np_swapaxes(self): arr = np.array([[[0, 1], [2, 3]], [[4, 5], [6, 7]]]) tgt = np.array([[[0, 4], [2, 6]], [[1, 5], [3, 7]]]) qf = QFloat(arr, arr * 0.1, "m") res = np.swapaxes(qf, 0, 2) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.1) assert_equal(res.unit, qf.unit) def test_qfloat_np_take(self): arr = np.array([1, 2, 3, 4, 5]) tgt = np.array([2, 3, 5]) ind = [1, 2, 4] qf = QFloat(arr, arr * 0.1, "m") res = np.take(qf, ind) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.1) assert_equal(res.unit, qf.unit) def test_qfloat_np_tile(self): arr = np.array([0, 1, 2]) qf = QFloat(arr, arr * 0.1) tile = 2 tgt = np.array([0, 1, 2, 0, 1, 2]) res = np.tile(qf, tile) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.1) assert_equal(res.unit, qf.unit) tile = (2, 2) tgt = np.array([[0, 1, 2, 0, 1, 2], [0, 1, 2, 0, 1, 2]]) res = np.tile(qf, tile) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.1) assert_equal(res.unit, qf.unit) # More checking arr = np.array([[1, 2], [3, 4]]) qf = QFloat(arr, arr * 0.1) tile = 2 tgt = np.array([[1, 2, 1, 2], [3, 4, 3, 4]]) res = np.tile(qf, tile) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.1) assert_equal(res.unit, qf.unit) tile = (2, 1) tgt = np.array([[1, 2], [3, 4], [1, 2], [3, 4]]) res = np.tile(qf, tile) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.1) assert_equal(res.unit, qf.unit) def test_qfloat_np_transpose(self): arr = np.array([[1, 2], [3, 4], [5, 6]]) tgt = np.array([[1, 3, 5], [2, 4, 6]]) qf = QFloat(arr, arr * 0.1, "m") res = np.transpose(qf) assert_almost_equal(res.nominal, tgt) assert_almost_equal(res.std_dev, tgt * 0.1) assert_equal(res.unit, qf.unit) @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_trunc(self): raise NotImplementedError class TestQFloatNumpyUfuncs: """Test numpy array functions for numpy comatibility.""" @pytest.mark.parametrize('func', [np.abs, np.absolute]) def test_qfloat_np_absolute(self, func): qf1 = QFloat(1.0, 0.1, 'm') qf2 = QFloat(-1.0, 0.1, 'm') qf3 = QFloat(-5.0, 0.1) qf4 = QFloat(-6) qf5 = QFloat([1, -1, 2, -2]) assert_equal(func(qf1), QFloat(1.0, 0.1, 'm')) assert_equal(func(qf2), QFloat(1.0, 0.1, 'm')) assert_equal(func(qf3), QFloat(5.0, 0.1)) assert_equal(func(qf4), QFloat(6)) assert_equal(func(qf5), [1, 1, 2, 2]) with pytest.raises(NotImplementedError): # out argument should fail func(qf1, out=[]) def test_qfloat_np_add(self): qf1 = QFloat(2.0, 0.2, 'm') qf2 = QFloat(1.0, 0.1, 'm') qf3 = QFloat([1, 2, 3], [0.1, 0.2, 0.3], 'm') qf4 = QFloat(1.0, 0.1, 's') qf5 = QFloat(1.0) res = np.add(qf1, qf2) assert_equal(res.nominal, 3.0) assert_almost_equal(res.std_dev, 0.223606797749979) assert_equal(res.unit, units.Unit('m')) res = np.add(qf1, qf3) assert_equal(res.nominal, [3, 4, 5]) assert_almost_equal(res.std_dev, [0.2236068, 0.28284271, 0.36055513]) assert_equal(res.unit, units.Unit('m')) res = np.add(qf3, qf1) assert_equal(res.nominal, [3, 4, 5]) assert_almost_equal(res.std_dev, [0.2236068, 0.28284271, 0.36055513]) assert_equal(res.unit, units.Unit('m')) with pytest.raises(UnitsError): np.add(qf1, qf4) with pytest.raises(UnitsError): np.add(qf1, qf5) with pytest.raises(UnitsError): np.add(qf1, 1.0) with pytest.raises(NotImplementedError): # out argument should fail np.add(qf1, qf2, out=[]) @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_cbrt(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_ceil(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_copysign(self): raise NotImplementedError @pytest.mark.parametrize('func', [np.divide, np.true_divide]) def test_qfloat_np_divide(self, func): qf1 = QFloat(2.0, 0.2, 'm') qf2 = QFloat(1.0, 0.1, 'm') qf3 = QFloat([1, 2, 4], [0.1, 0.2, 0.4], 'cm') qf4 = QFloat(1.0, 0.1, 's') qf5 = QFloat(1.0) res = func(qf1, qf2) assert_equal(res.nominal, 2) assert_almost_equal(res.std_dev, 0.28284271) assert_equal(res.unit, units.dimensionless_unscaled) res = func(qf1, qf3) assert_equal(res.nominal, [2, 1, 0.5]) assert_almost_equal(res.std_dev, [0.28284271, 0.14142136, 0.07071068]) assert_equal(res.unit, units.Unit('m/cm')) res = func(qf3, qf1) assert_equal(res.nominal, [0.5, 1, 2]) assert_almost_equal(res.std_dev, [0.0707107, 0.1414214, 0.2828427]) assert_equal(res.unit, units.Unit('cm/m')) res = func(qf1, qf4) assert_equal(res.nominal, 2.0) assert_almost_equal(res.std_dev, 0.28284271247461906) assert_equal(res.unit, units.Unit('m/s')) res = func(qf1, qf5) assert_equal(res.nominal, 2.0) assert_almost_equal(res.std_dev, 0.2) assert_equal(res.unit, units.Unit('m')) with pytest.raises(NotImplementedError): # out argument should fail func(qf1, qf2, out=[]) @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_divmod(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_exp(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_exp2(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_expm1(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_fabs(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_floor(self): raise NotImplementedError def test_qfloat_np_floor_divide(self): qf1 = QFloat(2.0, 0.2, 'm') qf2 = QFloat(1.0, 0.1, 'm') qf3 = QFloat([1, 2, 4], [0.1, 0.2, 0.4], 'cm') qf4 = QFloat(1.0, 0.1, 's') qf5 = QFloat(1.0) res = np.floor_divide(qf1, qf2) assert_equal(res.nominal, 2) assert_almost_equal(res.std_dev, 0) assert_equal(res.unit, units.dimensionless_unscaled) res = np.floor_divide(qf1, qf3) assert_equal(res.nominal, [2, 1, 0]) assert_almost_equal(res.std_dev, [0, 0, 0]) assert_equal(res.unit, units.Unit('m/cm')) res = np.floor_divide(qf3, qf1) assert_equal(res.nominal, [0, 1, 2]) assert_almost_equal(res.std_dev, [0, 0, 0]) assert_equal(res.unit, units.Unit('cm/m')) res = np.floor_divide(qf1, qf4) assert_equal(res.nominal, 2) assert_almost_equal(res.std_dev, 0) assert_equal(res.unit, units.Unit('m/s')) res = np.floor_divide(qf1, qf5) assert_equal(res.nominal, 2) assert_almost_equal(res.std_dev, 0) assert_equal(res.unit, units.Unit('m')) with pytest.raises(NotImplementedError): # out argument should fail np.floor_divide(qf1, qf2, out=[]) @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_fmax(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_fmin(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_fmod(self): raise NotImplementedError def test_qfloat_np_hypot(self): qf1 = QFloat(3, 0.3, 'm') qf2 = QFloat(4, 0.4, 'm') qf3 = QFloat(3*np.ones((5, 5)), unit='m') qf4 = QFloat(4*np.ones((5, 5)), unit='m') res = np.hypot(qf1, qf2) assert_equal(res.nominal, 5) assert_almost_equal(res.std_dev, 0.36715119501371646) assert_equal(res.unit, units.Unit('m')) res = np.hypot(qf3, qf4) assert_equal(res.nominal, 5*np.ones((5, 5))) assert_almost_equal(res.std_dev, np.zeros((5, 5))) assert_equal(res.unit, units.Unit('m')) res = np.hypot(qf1, qf4) assert_equal(res.nominal, 5*np.ones((5, 5))) assert_almost_equal(res.std_dev, 0.18*np.ones((5, 5))) assert_equal(res.unit, units.Unit('m')) with pytest.raises(UnitsError): np.hypot(qf1, 1) with pytest.raises(UnitsError): np.hypot(qf1, QFloat(1, unit='s')) with pytest.raises(NotImplementedError): # out argument should fail np.multiply(qf1, qf2, out=[]) @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_isfinit(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_isinf(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_isnan(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_log(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_log2(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_log10(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_log1p(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_maximum(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_minimum(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_modf(self): raise NotImplementedError def test_qfloat_np_multiply(self): qf1 = QFloat(2.0, 0.2, 'm') qf2 = QFloat(1.2, 0.1, 'm') qf3 = QFloat([1, 2, 4], [0.1, 0.2, 0.4], 'cm') res = np.multiply(qf1, 2) assert_equal(res.nominal, 4) assert_equal(res.std_dev, 0.4) assert_equal(res.unit, units.Unit('m')) res = np.multiply(qf1, qf2) assert_equal(res.nominal, 2.4) assert_almost_equal(res.std_dev, 0.3124099870362662) assert_equal(res.unit, units.Unit('m2')) res = np.multiply(qf1, qf3) assert_equal(res.nominal, [2, 4, 8]) assert_almost_equal(res.std_dev, [0.28284271, 0.56568542, 1.13137085]) assert_equal(res.unit, units.Unit('m*cm')) with pytest.raises(NotImplementedError): # out argument should fail np.multiply(qf1, qf2, out=[]) def test_qfloat_np_negative(self): qf1 = QFloat(1.0, 0.1, 'm') qf2 = QFloat(-1.0, 0.1, 'm') qf3 = QFloat(-5.0, 0.1) qf4 = QFloat(6) qf5 = QFloat([1, -1, 2, -2]) assert_equal(np.negative(qf1), QFloat(-1.0, 0.1, 'm')) assert_equal(np.negative(qf2), QFloat(1.0, 0.1, 'm')) assert_equal(np.negative(qf3), QFloat(5.0, 0.1)) assert_equal(np.negative(qf4), QFloat(-6)) assert_equal(np.negative(qf5), QFloat([-1, 1, -2, 2])) with pytest.raises(NotImplementedError): # out argument should fail np.negative(qf1, out=[]) def test_qfloat_np_positive(self): qf1 = QFloat(1.0, 0.1, 'm') qf2 = QFloat(-1.0, 0.1, 'm') qf3 = QFloat(-5.0, 0.1) qf4 = QFloat(6) qf5 = QFloat([1, -1, 2, -2]) assert_equal(np.positive(qf1), QFloat(1.0, 0.1, 'm')) assert_equal(np.positive(qf2), QFloat(-1.0, 0.1, 'm')) assert_equal(np.positive(qf3), QFloat(-5.0, 0.1)) assert_equal(np.positive(qf4), QFloat(6)) assert_equal(np.positive(qf5), QFloat([1, -1, 2, -2])) with pytest.raises(NotImplementedError): # out argument should fail np.positive(qf1, out=[]) @pytest.mark.parametrize('func', [np.power, np.float_power]) def test_qfloat_np_power(self, func): qf1 = QFloat(2.0, 0.1, 'm') qf2 = QFloat([2, 3, 4], [0.1, 0.2, 0.3], 'm') qf3 = QFloat(2.0, 0.1) qf4 = QFloat([2, 3, 4]) res = func(qf1, 2) assert_equal(res.nominal, 4) assert_equal(res.std_dev, 0.4) assert_equal(res.unit, units.Unit('m2')) res = func(qf1, 1.5) assert_almost_equal(res.nominal, 2.8284271247461903) assert_almost_equal(res.std_dev, 0.2121320343559643) assert_equal(res.unit, units.Unit('m(3/2)')) res = func(qf2, 2) assert_equal(res.nominal, [4, 9, 16]) assert_almost_equal(res.std_dev, [0.4, 1.2, 2.4]) assert_equal(res.unit, units.Unit('m2')) res = func(qf2, 1.5) assert_almost_equal(res.nominal, [2.82842712, 5.19615242, 8]) assert_almost_equal(res.std_dev, [0.21213203, 0.51961524, 0.9]) assert_equal(res.unit, units.Unit('m(3/2)')) res = func(qf1, qf3) assert_equal(res.nominal, 4) assert_almost_equal(res.std_dev, 0.4866954717550927) assert_equal(res.unit, units.Unit('m2')) with pytest.raises(ValueError): func(qf1, qf4) with pytest.raises(ValueError): func(qf2, qf4) with pytest.raises(ValueError): func(qf4, qf1) with pytest.raises(NotImplementedError): # out argument should fail func(qf1, 2, out=[]) @pytest.mark.parametrize('func', [np.mod, np.remainder]) def test_qfloat_np_remainder(self, func): qf1 = QFloat(5.0, 0.1, 'm') qf2 = QFloat(3.5, 0.1, 'm') qf3 = QFloat(1.0, 0.1, 's') qf4 = QFloat([1, 2, 3]) res = func(qf1, 2) assert_equal(res.nominal, 1) assert_equal(res.std_dev, 0.1) assert_equal(res.unit, units.Unit('m')) res = func(qf1, qf2) assert_equal(res.nominal, 1.5) assert_equal(res.std_dev, 0.14142135623730953) assert_equal(res.unit, units.Unit('m')) res = func(qf1, qf3) assert_equal(res.nominal, 0) assert_equal(res.std_dev, np.inf) assert_equal(res.unit, units.Unit('m')) res = func(qf1, qf4) assert_equal(res.nominal, [0, 1, 2]) assert_equal(res.std_dev, [np.nan, 0.1, 0.1]) assert_equal(res.unit, units.Unit('m')) res = func(qf4, 1.5) assert_equal(res.nominal, [1, 0.5, 0]) assert_equal(res.std_dev, [0, 0, np.nan]) assert_equal(res.unit, units.Unit('')) with pytest.raises(NotImplementedError): # out argument should fail func(qf1, qf2, out=[]) @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_rint(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_sign(self): raise NotImplementedError @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_signbit(self): raise NotImplementedError def test_qfloat_np_sqrt(self): qf1 = QFloat(4, 0.1, 'm2') qf2 = QFloat([9, 100], [0.1, 0.1], 's2') res = np.sqrt(qf1) assert_equal(res.nominal, 2) assert_equal(res.std_dev, 0.025) assert_equal(res.unit, units.Unit('m')) res = np.sqrt(qf2) assert_equal(res.nominal, [3, 10]) assert_almost_equal(res.std_dev, [0.01666667, 0.005]) assert_equal(res.unit, units.Unit('s')) with pytest.raises(NotImplementedError): # out argument should fail np.sqrt(qf1, out=[]) def test_qfloat_np_square(self): qf1 = QFloat(2.0, 0.1, 'm') qf2 = QFloat([1, 2, 3], [0.1, 0.2, 0.3], 'cm') res = np.square(qf1) assert_equal(res.nominal, 4) assert_almost_equal(res.std_dev, 0.28284271247461906) assert_equal(res.unit, units.Unit('m2')) res = np.square(qf2) assert_equal(res.nominal, [1, 4, 9]) assert_almost_equal(res.std_dev, [0.14142136, 0.56568542, 1.27279221]) assert_equal(res.unit, units.Unit('cm2')) with pytest.raises(NotImplementedError): # out argument should fail np.square(qf1, out=[]) def test_qfloat_np_subtract(self): qf1 = QFloat(2.0, 0.2, 'm') qf2 = QFloat(1.0, 0.1, 'm') qf3 = QFloat([1, 2, 3], [0.1, 0.2, 0.3], 'm') qf4 = QFloat(1.0, 0.1, 's') qf5 = QFloat(1.0) res = np.subtract(qf1, qf2) assert_equal(res.nominal, 1.0) assert_almost_equal(res.std_dev, 0.223606797749979) assert_equal(res.unit, units.Unit('m')) res = np.subtract(qf1, qf3) assert_equal(res.nominal, [1, 0, -1]) assert_almost_equal(res.std_dev, [0.2236068, 0.28284271, 0.36055513]) assert_equal(res.unit, units.Unit('m')) res = np.subtract(qf3, qf1) assert_equal(res.nominal, [-1, 0, 1]) assert_almost_equal(res.std_dev, [0.2236068, 0.28284271, 0.36055513]) assert_equal(res.unit, units.Unit('m')) with pytest.raises(UnitsError): np.subtract(qf1, qf4) with pytest.raises(UnitsError): np.subtract(qf1, qf5) with pytest.raises(UnitsError): np.subtract(qf1, 1.0) with pytest.raises(NotImplementedError): # out argument should fail np.subtract(qf1, qf2, out=[]) @pytest.mark.skip(reason="Not Implemented Yet") def test_qfloat_np_trunc(self): raise NotImplementedError class TestQFloatNumpyUfuncTrigonometric: """Test the numpy trigonometric and inverse trigonometric functions.""" # Both radians and deg2rad must work in the same way @pytest.mark.parametrize('func', [np.radians, np.deg2rad]) def test_qfloat_np_radians(self, func): qf = QFloat(180, 0.1, 'degree') res = func(qf) assert_almost_equal(res.nominal, 3.141592653589793) assert_almost_equal(res.std_dev, 0.001745329251994) assert_equal(res.unit, units.Unit('rad')) qf = QFloat(-180, 0.1, 'degree') res = func(qf) assert_almost_equal(res.nominal, -3.141592653589793) assert_almost_equal(res.std_dev, 0.001745329251994) assert_equal(res.unit, units.Unit('rad')) qf = QFloat([0, 30, 45, 60, 90], [0.1, 0.2, 0.3, 0.4, 0.5], 'degree') res = func(qf) assert_almost_equal(res.nominal, [0, 0.52359878, 0.78539816, 1.04719755, 1.57079633]) assert_almost_equal(res.std_dev, [0.00174533, 0.00349066, 0.00523599, 0.00698132, 0.00872665]) assert_equal(res.unit, units.Unit('rad')) # radian should no change qf = QFloat(1.0, 0.1, 'radian') res = func(qf) assert_equal(res.nominal, 1.0) assert_equal(res.std_dev, 0.1) assert_equal(res.unit, units.Unit('rad')) # Invalid units for unit in ('m', None, 'm/s'): with pytest.raises(UnitsError): func(QFloat(1.0, 0.1, unit)) with pytest.raises(NotImplementedError): # out argument should fail func(qf, out=[]) # Both degrees and rad2deg must work in the same way @pytest.mark.parametrize('func', [np.degrees, np.rad2deg]) def test_qfloat_np_degrees(self, func): qf = QFloat(np.pi, 0.05, 'radian') res = func(qf) assert_almost_equal(res.nominal, 180.0) assert_almost_equal(res.std_dev, 2.8647889756541165) assert_equal(res.unit, units.Unit('deg')) qf = QFloat(-np.pi, 0.05, 'radian') res = func(qf) assert_almost_equal(res.nominal, -180.0) assert_almost_equal(res.std_dev, 2.8647889756541165) assert_equal(res.unit, units.Unit('deg')) qf = QFloat([np.pi, np.pi/2, np.pi/4, np.pi/6], [0.01, 0.02, 0.03, 0.04], 'rad') res = func(qf) assert_almost_equal(res.nominal, [180.0, 90.0, 45.0, 30.0]) assert_almost_equal(res.std_dev, [0.5729578, 1.14591559, 1.71887339, 2.29183118]) assert_equal(res.unit, units.Unit('deg')) # deg should no change qf = QFloat(1.0, 0.1, 'deg') res = func(qf) assert_equal(res.nominal, 1.0) assert_equal(res.std_dev, 0.1) assert_equal(res.unit, units.Unit('deg')) # Invalid units for unit in ('m', None, 'm/s'): with pytest.raises(UnitsError): func(QFloat(1.0, 0.1, unit)) with pytest.raises(NotImplementedError): # out argument should fail func(qf, out=[]) def test_qfloat_np_sin(self): qf = QFloat(np.pi, 0.05, 'radian') res = np.sin(qf) assert_almost_equal(res.nominal, 0.0) assert_almost_equal(res.std_dev, 0.05) assert_equal(res.unit, units.dimensionless_unscaled) qf = QFloat(90, 0.05, 'deg') res = np.sin(qf) assert_almost_equal(res.nominal, 1.0) assert_almost_equal(res.std_dev, 0.0) assert_equal(res.unit, units.dimensionless_unscaled) qf = QFloat([30, 45, 60], [0.1, 0.2, 0.3], 'deg') res = np.sin(qf) assert_almost_equal(res.nominal, [0.5, 0.70710678, 0.8660254]) assert_almost_equal(res.std_dev, [0.0015115, 0.00246827, 0.00261799]) assert_equal(res.unit, units.dimensionless_unscaled) for unit in ['m', 'm/s', None]: with pytest.raises(UnitsError): np.sin(QFloat(1.0, unit=unit)) with pytest.raises(NotImplementedError): # out argument should fail np.sin(qf, out=[]) def test_qfloat_np_cos(self): qf = QFloat(180, 0.05, 'deg') res = np.cos(qf) assert_almost_equal(res.nominal, -1.0) assert_almost_equal(res.std_dev, 0.0) assert_equal(res.unit, units.dimensionless_unscaled) qf = QFloat(np.pi/2, 0.05, 'rad') res = np.cos(qf) assert_almost_equal(res.nominal, 0.0) assert_almost_equal(res.std_dev, 0.05) assert_equal(res.unit, units.dimensionless_unscaled) qf = QFloat([30, 45, 60], [0.1, 0.2, 0.3], 'deg') res = np.cos(qf) assert_almost_equal(res.nominal, [0.8660254, 0.70710678, 0.5]) assert_almost_equal(res.std_dev, [0.00087266, 0.00246827, 0.0045345]) assert_equal(res.unit, units.dimensionless_unscaled) for unit in ['m', 'm/s', None]: with pytest.raises(UnitsError): np.cos(QFloat(1.0, unit=unit)) with pytest.raises(NotImplementedError): # out argument should fail np.cos(qf, out=[]) def test_qfloat_np_tan(self): qf = QFloat(45, 0.05, 'deg') res = np.tan(qf) assert_almost_equal(res.nominal, 1.0) assert_almost_equal(res.std_dev, 0.0017453292519943294) assert_equal(res.unit, units.dimensionless_unscaled) qf = QFloat(np.pi/4, 0.05, 'rad') res = np.tan(qf) assert_almost_equal(res.nominal, 1.0) assert_almost_equal(res.std_dev, 0.1) assert_equal(res.unit, units.dimensionless_unscaled) qf = QFloat([0, 30, 60], [0.1, 0.2, 0.3], 'deg') res = np.tan(qf) assert_almost_equal(res.nominal, [0, 0.57735027, 1.73205081]) assert_almost_equal(res.std_dev, [0.00174533, 0.00465421, 0.02094395]) assert_equal(res.unit, units.dimensionless_unscaled) for unit in ['m', 'm/s', None]: with pytest.raises(UnitsError): np.tan(QFloat(1.0, unit=unit)) with pytest.raises(NotImplementedError): # out argument should fail np.tan(qf, out=[]) def test_qfloat_np_sinh(self): qf = QFloat(0, 0.05, 'radian') res = np.sinh(qf) assert_almost_equal(res.nominal, 0.0) assert_almost_equal(res.std_dev, 0.05) assert_equal(res.unit, units.dimensionless_unscaled) qf = QFloat(np.pi, 0.05, 'radian') res = np.sinh(qf) assert_almost_equal(res.nominal, 11.548739357257748) assert_almost_equal(res.std_dev, 0.5795976637760759) assert_equal(res.unit, units.dimensionless_unscaled) qf = QFloat(90, 0.05, 'deg') res = np.sinh(qf) assert_almost_equal(res.nominal, 2.3012989023072947) assert_almost_equal(res.std_dev, 0.002189671298638268) assert_equal(res.unit, units.dimensionless_unscaled) qf = QFloat([30, 45, 60], [0.1, 0.2, 0.3], 'deg') res = np.sinh(qf) assert_almost_equal(res.nominal, [0.5478535, 0.86867096, 1.24936705]) assert_almost_equal(res.std_dev, [0.0019901, 0.0046238, 0.0083791]) assert_equal(res.unit, units.dimensionless_unscaled) for unit in ['m', 'm/s', None]: with pytest.raises(UnitsError): np.sinh(QFloat(1.0, unit=unit)) with pytest.raises(NotImplementedError): # out argument should fail np.sinh(qf, out=[]) def test_qfloat_np_cosh(self): qf = QFloat(0, 0.05, 'radian') res = np.cosh(qf) assert_almost_equal(res.nominal, 1.0) assert_almost_equal(res.std_dev, 0.0) assert_equal(res.unit, units.dimensionless_unscaled) qf = QFloat(np.pi, 0.05, 'radian') res = np.cosh(qf) assert_almost_equal(res.nominal, 11.591953275521519) assert_almost_equal(res.std_dev, 0.5774369678628875) assert_equal(res.unit, units.dimensionless_unscaled) qf = QFloat(90, 0.05, 'deg') res = np.cosh(qf) assert_almost_equal(res.nominal, 2.5091784786580567) assert_almost_equal(res.std_dev, 0.0020082621458896) assert_equal(res.unit, units.dimensionless_unscaled) qf = QFloat([30, 45, 60], [0.1, 0.2, 0.3], 'deg') res = np.cosh(qf) assert_almost_equal(res.nominal, [1.14023832, 1.32460909, 1.60028686]) assert_almost_equal(res.std_dev, [0.00095618, 0.00303223, 0.00654167]) assert_equal(res.unit, units.dimensionless_unscaled) for unit in ['m', 'm/s', None]: with pytest.raises(UnitsError): np.cosh(QFloat(1.0, unit=unit)) with pytest.raises(NotImplementedError): # out argument should fail np.cosh(qf, out=[]) def test_qfloat_np_tanh(self): qf = QFloat(0, 0.05, 'radian') res = np.tanh(qf) assert_almost_equal(res.nominal, 0.0) assert_almost_equal(res.std_dev, 0.05) assert_equal(res.unit, units.dimensionless_unscaled) qf = QFloat(np.pi, 0.05, 'radian') res = np.tanh(qf) assert_almost_equal(res.nominal, 0.99627207622075) assert_almost_equal(res.std_dev, 0.00037209750714) assert_equal(res.unit, units.dimensionless_unscaled) qf = QFloat(90, 0.05, 'deg') res = np.tanh(qf) assert_almost_equal(res.nominal, 0.9171523356672744) assert_almost_equal(res.std_dev, 0.0001386067128590) assert_equal(res.unit, units.dimensionless_unscaled) qf = QFloat([30, 45, 60], [0.1, 0.2, 0.3], 'deg') res = np.tanh(qf) assert_almost_equal(res.nominal, [0.48047278, 0.6557942, 0.78071444]) assert_almost_equal(res.std_dev, [0.00134241, 0.00198944, 0.00204457]) assert_equal(res.unit, units.dimensionless_unscaled) for unit in ['m', 'm/s', None]: with pytest.raises(UnitsError): np.tanh(QFloat(1.0, unit=unit)) with pytest.raises(NotImplementedError): # out argument should fail np.tanh(qf, out=[]) def test_qfloat_np_arcsin(self): qf = QFloat(np.sqrt(2)/2, 0.01) res = np.arcsin(qf) assert_almost_equal(res.nominal, 0.7853981633974484) assert_almost_equal(res.std_dev, 0.0141421356237309) assert_equal(res.unit, units.Unit('rad')) qf = QFloat([0, 0.5, 1], [0.01, 0.2, 0.3]) res = np.arcsin(qf) assert_almost_equal(res.nominal, [0, 0.52359878, 1.57079633]) assert_almost_equal(res.std_dev, [0.01, 0.23094011, np.inf]) assert_equal(res.unit, units.Unit('rad')) # Invalid units for unit in ['m', 'm/s', 'rad', 'deg']: with pytest.raises(UnitsError): np.arcsin(QFloat(1.0, unit=unit)) with pytest.raises(NotImplementedError): # out argument should fail np.arcsin(qf, out=[]) def test_qfloat_np_arccos(self): qf = QFloat(np.sqrt(2)/2, 0.01) res = np.arccos(qf) assert_almost_equal(res.nominal, 0.7853981633974484) assert_almost_equal(res.std_dev, 0.0141421356237309) assert_equal(res.unit, units.Unit('rad')) qf = QFloat([0, 0.5, 1], [0.01, 0.2, 0.3]) res = np.arccos(qf) assert_almost_equal(res.nominal, [1.57079633, 1.04719755, 0]) assert_almost_equal(res.std_dev, [0.01, 0.23094011, np.inf]) assert_equal(res.unit, units.Unit('rad')) # Invalid units for unit in ['m', 'm/s', 'rad', 'deg']: with pytest.raises(UnitsError): np.arccos(QFloat(1.0, unit=unit)) with pytest.raises(NotImplementedError): # out argument should fail np.arccos(qf, out=[]) def test_qfloat_np_arctan(self): qf = QFloat(1.0, 0.01) res = np.arctan(qf) assert_almost_equal(res.nominal, 0.7853981633974484) assert_almost_equal(res.std_dev, 0.005) assert_equal(res.unit, units.Unit('rad')) qf = QFloat([0, 0.5, 1], [0.01, 0.2, 0.3]) res = np.arctan(qf) assert_almost_equal(res.nominal, [0, 0.4636476, 0.7853982]) assert_almost_equal(res.std_dev, [0.01, 0.16, 0.15]) assert_equal(res.unit, units.Unit('rad')) # Invalid units for unit in ['m', 'm/s', 'rad', 'deg']: with pytest.raises(UnitsError): np.arctan(QFloat(1.0, unit=unit)) with pytest.raises(NotImplementedError): # out argument should fail np.arctan(qf, out=[]) def test_qfloat_np_arcsinh(self): qf = QFloat(0.0, 0.01) res = np.arcsinh(qf) assert_almost_equal(res.nominal, 0.0) assert_almost_equal(res.std_dev, 0.01) assert_equal(res.unit, units.Unit('rad')) qf = QFloat([0.5, 1.0, 10], [0.01, 0.2, 0.3]) res = np.arcsinh(qf) assert_almost_equal(res.nominal, [0.4812118, 0.8813736, 2.998223]) assert_almost_equal(res.std_dev, [0.0089443, 0.1414214, 0.0298511]) assert_equal(res.unit, units.Unit('rad')) # Invalid units for unit in ['m', 'm/s', 'rad', 'deg']: with pytest.raises(UnitsError): np.arcsinh(QFloat(1.0, unit=unit)) with pytest.raises(NotImplementedError): # out argument should fail np.arcsinh(qf, out=[]) def test_qfloat_np_arccosh(self): qf = QFloat(1.0, 0.01) res = np.arccosh(qf) assert_almost_equal(res.nominal, 0.0) # assert_almost_equal(res.std_dev, np.inf) assert_equal(res.unit, units.Unit('rad')) qf = QFloat([1.5, 5.0, 10], [0.01, 0.2, 0.3]) res = np.arccosh(qf) assert_almost_equal(res.nominal, [0.9624237, 2.2924317, 2.9932228]) assert_almost_equal(res.std_dev, [0.0089443, 0.0408248, 0.0301511]) assert_equal(res.unit, units.Unit('rad')) # Invalid units for unit in ['m', 'm/s', 'rad', 'deg']: with pytest.raises(UnitsError): np.arccosh(QFloat(1.0, unit=unit)) with pytest.raises(NotImplementedError): # out argument should fail np.arccosh(qf, out=[]) def test_qfloat_np_arctanh(self): qf = QFloat(0.0, 0.01) res = np.arctanh(qf) assert_almost_equal(res.nominal, 0.0) assert_almost_equal(res.std_dev, 0.01) assert_equal(res.unit, units.Unit('rad')) qf = QFloat([0.1, 0.5, 1.0], [0.01, 0.2, 0.3]) res = np.arctanh(qf) assert_almost_equal(res.nominal, [0.1003353, 0.5493061, np.inf]) assert_almost_equal(res.std_dev, [0.010101, 0.2666667, np.inf]) assert_equal(res.unit, units.Unit('rad')) # Invalid units for unit in ['m', 'm/s', 'rad', 'deg']: with pytest.raises(UnitsError): np.arctanh(QFloat(1.0, unit=unit)) with pytest.raises(NotImplementedError): # out argument should fail np.arctanh(qf, out=[])

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0.873721

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54,611

1,513

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36.094514

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0.030617

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4f5359ec3eda3c01015a1ecae5ba8a1cc8060159

19,889

py

Python

main/convenience_redirect/tests.py

csev/class2go

f9419ae16448d20fc882170f95cfd1c4dc3331ca

[ "Apache-2.0" ]

2

2015-10-31T23:12:52.000Z

2021-01-19T11:03:00.000Z

main/convenience_redirect/tests.py

csev/class2go

f9419ae16448d20fc882170f95cfd1c4dc3331ca

[ "Apache-2.0" ]

null

main/convenience_redirect/tests.py

csev/class2go

f9419ae16448d20fc882170f95cfd1c4dc3331ca

[ "Apache-2.0" ]

null

""" This file demonstrates writing tests using the unittest module. These will pass when you run "manage.py test". Replace this with more appropriate tests for your application. """ from django.test import TestCase from convenience_redirect.redirector import convenience_redirector from django.test.client import RequestFactory from django.http import HttpResponseRedirect from c2g.models import CurrentTermMap, Course from random import randrange from django.contrib.auth.models import User,Group class SimpleTest(TestCase): #for a ton of URLs in our system that should not get redirects (b/c they are not course specific), make sure they don't redirect no_course_paths = ['/_health', '/_throw500', '/_throw404', '/email_optout/afda923sdmadf/', '/shib-login', '/impersonate/jbau@stanford.edu', '/videos/save/', '/accounts/login/', '/accounts/logout/', '/accounts/profile/save/', '/admin/', '/admin/doc/', '/courses/new/', '/commit', '/revert/', '/change_live_datetime/', '/save_order/', '/content_section/get_children/2342/', 'content_section/get_children_as_contentgroup_parents/155/?', '/'] #These paths should be redirected if preceded by /course_prefix/course_suffix, or if the host is a convenience redirect course_path_endings = ['/videos/', '/exams/', '/surveys', '/exams/abcd/submit/', '/', '/surveys/abcd/', '/exams/abcd/record/23/', '/problemsets/test/record/55'] def setUp(self): # Every test needs access to the request factory. self.factory = RequestFactory() self.redir = convenience_redirector() #db class map m1 = CurrentTermMap(course_prefix="db", course_suffix="Winter2013") m1.save() m2 = CurrentTermMap(course_prefix="class2go", course_suffix="tutorial") m2.save() m3 = CurrentTermMap(course_prefix="EE364A", course_suffix="Winter2013") m3.save() for (course,suffix) in (('nlp','Fall2012'), ('test','Fall2012'), ('networking','Fall2012'), ('crypto','Fall2012'), ('security','Fall2012'), ('cs144','Fall2012'), ('cs224n','Fall2012'), ('solar','Fall2012'), ('matsci256','Fall2012'), ('psych30','Fall2012'), ('nano','Fall2012'), ('msande111','Fall2012'), ('db','Winter2013'), ('class2go','tutorial'), ('EE364A','Winter2013'), ('networking', 'WallaWalla'), ): ### Create the new Course ### r = randrange(0,100000000) student_group = Group.objects.create(name="Student Group for class2go course " + course + " %d" % r) instructor_group = Group.objects.create(name="Instructor Group for class2go course " + course + " %d" % r) tas_group = Group.objects.create(name="TAS Group for class2go course " + course + " %d" % r) readonly_tas_group = Group.objects.create(name="Readonly TAS Group for class2go course " + course + " %d" % r) c = Course(handle=course+'--'+suffix, student_group_id = student_group.id, instructor_group_id = instructor_group.id, tas_group_id = tas_group.id, readonly_tas_group_id = readonly_tas_group.id, ) c.save() def test_noop(self): for host in ('class.stanford.edu', 'www.class.stanford.edu', 'staging.class.stanford.edu', 'www.staging.class.stanford.edu' \ 'class2go.stanford.edu', 'www.class2go.stanford.edu', 'staging.class2go.stanford.edu', 'www.staging.class2go.stanford.edu'): request = self.factory.get('/') request.META['HTTP_HOST']=host response = self.redir.process_request(request) self.assertIsNone(response) def test_no_redirect_loop1(self): for path in self.course_path_endings: for host in ('class.stanford.edu', 'www.class.stanford.edu', 'staging.class.stanford.edu', 'www.staging.class.stanford.edu'): request = self.factory.get('/networking/Fall2012%s' % path) request.META['HTTP_HOST']=host response = self.redir.process_request(request) self.assertIsNone(response) def test_no_direct_loop2(self): for path in self.course_path_endings: for host in ('class2go.stanford.edu', 'www.class2go.stanford.edu', 'staging.class2go.stanford.edu', 'www.staging.class2go.stanford.edu'): request = self.factory.get('/db/Winter2013%s' % path) request.META['HTTP_HOST']=host response = self.redir.process_request(request) self.assertIsNone(response) def test_malformed(self): for host in ('www.cnn.com', 'cs144.stanford.edu', 'class.stanford.edu.au', 'bad.prefix.class.stanford.edu'): request = self.factory.get('/') request.META['HTTP_HOST']=host response = self.redir.process_request(request) self.assertIsNone(response) def test_class_networking(self): #HTTP to '/' request = self.factory.get('/') request.META['HTTP_HOST']='networking.class.stanford.edu' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],'http://class.stanford.edu/networking/Fall2012/') #HTTPS request.is_secure=lambda: True response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],'https://class.stanford.edu/networking/Fall2012/') #HTTP to '/', should redirect class2go to class request = self.factory.get('/') request.META['HTTP_HOST']='networking.class2go.stanford.edu' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],'http://class.stanford.edu/networking/Fall2012/') #HTTPS should redirect class2go to class request.is_secure=lambda: True response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],'https://class.stanford.edu/networking/Fall2012/') def test_url_paths_and_params(self): #path request = self.factory.get('/videos/TheInternet/') request.META['HTTP_HOST']='networking.class.stanford.edu' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],'http://class.stanford.edu/networking/Fall2012/videos/TheInternet/') #query param request = self.factory.get('/preview/?login=login&cnn=cnn') request.META['HTTP_HOST']='networking.class.stanford.edu' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],'http://class.stanford.edu/networking/Fall2012/preview/?login=login&cnn=cnn') #query param2 request = self.factory.get('?a=a;b=b') request.META['HTTP_HOST']='networking.class.stanford.edu' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],'http://class.stanford.edu/networking/Fall2012/?a=a;b=b') def test_staging_networking(self): #HTTP to '/' request = self.factory.get('/') request.META['HTTP_HOST']='networking.staging.class.stanford.edu' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],'http://staging.class.stanford.edu/networking/Fall2012/') #HTTPS request.is_secure=lambda: True response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],'https://staging.class.stanford.edu/networking/Fall2012/') #HTTP to '/', redirect class2go to class request = self.factory.get('/') request.META['HTTP_HOST']='networking.staging.class2go.stanford.edu' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],'http://staging.class.stanford.edu/networking/Fall2012/') #HTTPS redirect class2go to class request.is_secure=lambda: True response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],'https://staging.class.stanford.edu/networking/Fall2012/') def test_ports(self): #HTTP 80 request = self.factory.get('/') request.META['HTTP_HOST']='networking.class.stanford.edu:80' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],'http://class.stanford.edu/networking/Fall2012/') #HTTPS 443 request = self.factory.get('/') request.META['HTTP_HOST']='networking.class.stanford.edu:443' request.is_secure=lambda: True response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],'https://class.stanford.edu/networking/Fall2012/') #HTTP 8080 request = self.factory.get('/') request.META['HTTP_HOST']='networking.class.stanford.edu:8080' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],'http://class.stanford.edu:8080/networking/Fall2012/') #HTTPS 4443 request = self.factory.get('/') request.META['HTTP_HOST']='networking.class.stanford.edu:4443' request.is_secure=lambda: True response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],'https://class.stanford.edu:4443/networking/Fall2012/') def test_active_classes(self): for path in self.course_path_endings: for course in ('nlp','test','networking','crypto','security','cs144','cs224n','solar','matsci256','psych30','nano','msande111'): request = self.factory.get(path) request.META['HTTP_HOST']=course+'.class.stanford.edu' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],"http://class.stanford.edu/%s/Fall2012%s" % (course, path)) def test_Fall2012_classes_redir_to_class(self): #make request to class2go for fall2012 classes, should end up with class for path in self.course_path_endings: for course in ('nlp','test','networking','crypto','security','cs144','cs224n','solar','matsci256','psych30','nano','msande111'): request = self.factory.get(path) request.META['HTTP_HOST']=course+'.class2go.stanford.edu' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],"http://class.stanford.edu/%s/Fall2012%s" % (course, path)) def test_cur_term_map_classes(self): for path in self.course_path_endings: #db--Winter2013 request = self.factory.get(path) request.META['HTTP_HOST']='db.class2go.stanford.edu' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],"http://class2go.stanford.edu/db/Winter2013%s" %path) #EE364A--Winter2013 request = self.factory.get(path) request.META['HTTP_HOST']='EE364A.class2go.stanford.edu' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],"http://class2go.stanford.edu/EE364A/Winter2013%s" %path) #class2go--tutorial request = self.factory.get(path) request.META['HTTP_HOST']='class2go.class2go.stanford.edu' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],"http://class2go.stanford.edu/class2go/tutorial%s" %path) #db--Winter2013, redirect class to class2go request = self.factory.get(path) request.META['HTTP_HOST']='db.class.stanford.edu' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],"http://class2go.stanford.edu/db/Winter2013%s" %path) #EE364A--Winter2013 request = self.factory.get(path) request.META['HTTP_HOST']='EE364A.class.stanford.edu' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],"http://class2go.stanford.edu/EE364A/Winter2013%s" %path) #class2go--tutorial, redirect class to class2go request = self.factory.get(path) request.META['HTTP_HOST']='class2go.class.stanford.edu' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],"http://class2go.stanford.edu/class2go/tutorial%s" %path) def test_redir_class_path(self): for ending in self.course_path_endings: #test that we can redirect to the old codebase based on path for course in ('nlp','test','networking','crypto','security','cs144','cs224n','solar','matsci256','psych30','nano','msande111'): #GETs request = self.factory.get('/%s/Fall2012%s' % (course, ending)) request.META['HTTP_HOST']='class2go.stanford.edu' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],"http://class.stanford.edu/%s/Fall2012%s" % (course, ending)) request = self.factory.get('/%s/Fall2012%s' % (course, ending)) request.META['HTTP_HOST']='class.stanford.edu' response = self.redir.process_request(request) self.assertIsNone(response) #POSTS request = self.factory.post('/%s/Fall2012%s' % (course, ending)) request.META['HTTP_HOST']='class2go.stanford.edu' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],"http://class.stanford.edu/%s/Fall2012%s" % (course, ending)) request = self.factory.post('/%s/Fall2012%s' % (course, ending)) request.META['HTTP_HOST']='class.stanford.edu' response = self.redir.process_request(request) self.assertIsNone(response) #test the Walla Walla course (Should be old codebase) for course in ('networking',): #GET request = self.factory.get('/%s/WallaWalla%s' % (course, ending)) request.META['HTTP_HOST']='class.stanford.edu' response = self.redir.process_request(request) self.assertIsNone(response) request = self.factory.get('/%s/WallaWalla%s' % (course, ending)) request.META['HTTP_HOST']='class2go.stanford.edu' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],"http://class.stanford.edu/%s/WallaWalla%s" % (course, ending)) #POST request = self.factory.post('/%s/WallaWalla%s' % (course, ending)) request.META['HTTP_HOST']='class.stanford.edu' response = self.redir.process_request(request) self.assertIsNone(response) request = self.factory.post('/%s/WallaWalla%s' % (course, ending)) request.META['HTTP_HOST']='class2go.stanford.edu' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],"http://class.stanford.edu/%s/WallaWalla%s" % (course, ending)) #test that we can redirect to the new codebase based on path for course in ('EE364A','db'): #GET request = self.factory.get('/%s/Winter2013%s' % (course, ending)) request.META['HTTP_HOST']='class2go.stanford.edu' response = self.redir.process_request(request) self.assertIsNone(response) request = self.factory.get('/%s/Winter2013%s' % (course, ending)) request.META['HTTP_HOST']='class.stanford.edu' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],"http://class2go.stanford.edu/%s/Winter2013%s" % (course, ending)) #POST request = self.factory.post('/%s/Winter2013%s' % (course, ending)) request.META['HTTP_HOST']='class2go.stanford.edu' response = self.redir.process_request(request) self.assertIsNone(response) request = self.factory.post('/%s/Winter2013%s' % (course, ending)) request.META['HTTP_HOST']='class.stanford.edu' response = self.redir.process_request(request) self.assertTrue(isinstance(response,HttpResponseRedirect)) self.assertEqual(response['Location'],"http://class2go.stanford.edu/%s/Winter2013%s" % (course, ending)) def test_no_redirect(self): for path in self.no_course_paths: for host in ('class.stanford.edu', 'www.class.stanford.edu', 'staging.class.stanford.edu', 'www.staging.class.stanford.edu' \ 'class2go.stanford.edu', 'www.class2go.stanford.edu', 'staging.class2go.stanford.edu', 'www.staging.class2go.stanford.edu'): request = self.factory.get(path) request.META['HTTP_HOST']=host response = self.redir.process_request(request) self.assertIsNone(response)

57.317003

149

0.625823

2,076

19,889

5.910405

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0.078892

0.070416

0.07824

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0.782967

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0.751915

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0

null

0

1

0

null

0

6

4f7b8a96b7f18e9d98e886ccdb9f6b6435e9ee8e

1,639

py

Python

raspberry/allskySCRIPT/meteoRRD_createRRD.py

broadcastyourseb/SADR

5a8f7d5a30ae14a58427c9c09c56347eca6a17e9

[ "Apache-2.0" ]

1

2020-02-17T03:48:44.000Z

raspberry/allskySCRIPT/meteoRRD_createRRD.py

broadcastyourseb/SADR

5a8f7d5a30ae14a58427c9c09c56347eca6a17e9

[ "Apache-2.0" ]

15

2017-08-07T11:59:47.000Z

2017-08-14T21:28:01.000Z

raspberry/allskySCRIPT/meteoRRD_createRRD.py

broadcastyourseb/SADR

5a8f7d5a30ae14a58427c9c09c56347eca6a17e9

[ "Apache-2.0" ]

null

#!/usr/bin/python #-*- coding: iso-8859-15 -*- # SADR METEOLLSKY # http://www.sadr.fr # SEBASTIEN LECLERC 2017 # Inspired by : # NACHO MAS 2013 # http://induino.wordpress.com # import sys, os import rrdtool from meteollskyconfig import * #10s raw values for 3hour, 1min for 24 hours, 5 min for 24*7 hours, # 1hour for 1 year, 1day dor 10 years! ret = rrdtool.create(CHARTPATH+"meteo.rrd", "--step", "1", "--start", '0', "DS:T:GAUGE:600:U:U", "DS:frezzingFlag:GAUGE:600:U:U", "DS:Light:GAUGE:600:U:U", "DS:daylightFlag:GAUGE:600:U:U", "DS:Thrint:GAUGE:600:U:U", "DS:HRint:GAUGE:600:U:U", "DS:Thr:GAUGE:600:U:U", "DS:HR:GAUGE:600:U:U", "DS:Dew:GAUGE:600:U:U", "DS:dewFlag:GAUGE:600:U:U", "DS:Tir:GAUGE:600:U:U", "DS:IR:GAUGE:600:U:U", "DS:skyT:GAUGE:600:U:U", "DS:clouds:GAUGE:600:U:U", "DS:cloudFlag:GAUGE:600:U:U", "DS:P:GAUGE:600:U:U", "DS:Tp:GAUGE:600:U:U", "DS:Wind:GAUGE:600:U:U", "DS:WindMax:GAUGE:600:U:U", "DS:windFlag:GAUGE:600:U:U", "DS:CRain:GAUGE:600:U:U", "DS:rainFlag:GAUGE:600:U:U", "DS:TargetRain:GAUGE:600:U:U", "DS:TRain:GAUGE:600:U:U", "DS:PIDRain:GAUGE:600:U:U", "RRA:AVERAGE:0.5:1:10800", "RRA:AVERAGE:0.5:60:1440", "RRA:AVERAGE:0.5:300:1008", "RRA:AVERAGE:0.5:3600:8760", "RRA:AVERAGE:0.5:86400:3650", "RRA:MAX:0.5:1:10800", "RRA:MAX:0.5:60:1440", "RRA:MAX:0.5:300:1008", "RRA:MAX:0.5:3600:8760", "RRA:MAX:0.5:86400:3650", "RRA:MIN:0.5:1:10800", "RRA:MIN:0.5:60:1440", "RRA:MIN:0.5:300:1008", "RRA:MIN:0.5:3600:8760", "RRA:MIN:0.5:86400:3650") if ret: print rrdtool.error()

22.763889

74

0.607688

311

1,639

3.202572

0.318328

0.200803

0.225904

0.251004

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1,639

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null

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0.065217

null

0.021739

0

null

1

0

1

null

0

1

0

6

4faf4acfac00887ed88e304d636affe65248a35e

208

py

Python

tests/test_generate_sent.py

PyThaiNLP/thai-analysis-rule

df62ee3a1e9b818b5280d842f6876581eca8d5eb

[ "Apache-2.0" ]

null

tests/test_generate_sent.py

PyThaiNLP/thai-analysis-rule

df62ee3a1e9b818b5280d842f6876581eca8d5eb

[ "Apache-2.0" ]

null

tests/test_generate_sent.py

PyThaiNLP/thai-analysis-rule

df62ee3a1e9b818b5280d842f6876581eca8d5eb

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import unittest from thaianalysisrule import generate_sent class TestGenerateSent(unittest.TestCase): def test_generate_sent(self): self.assertIsNotNone(generate_sent())

23.111111

45

0.754808

23

208

6.652174

0.695652

0.235294

0

0.005618

0.144231

208

9

45

23.111111

0.853933

0.100962

0

1

0

0.2

1

0.2

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0

1

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null

1

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1

0

1

0

null

0

1

0

1

0

6

8c3ab3040d900d88d48aef7072cb13a45c39950f

43

py

Python

valipede/__init__.py

cooper-software/valipede

38aca6b95c842ec51f7ce1d92f5f9844dcbbf079

[ "MIT" ]

null

valipede/__init__.py

cooper-software/valipede

38aca6b95c842ec51f7ce1d92f5f9844dcbbf079

[ "MIT" ]

1

2018-03-04T20:57:58.000Z

valipede/__init__.py

cooper-software/valipede

38aca6b95c842ec51f7ce1d92f5f9844dcbbf079

[ "MIT" ]

1

2018-03-04T20:52:31.000Z

from .fields import * from .schema import *

21.5

21

0.744186

6

43

5.333333

0.666667

0

0.162791

43

2

22

21.5

0.888889

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true

0

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null

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null

0

1

0

1

0

1

0

6

4fd5d42ff93f3377dab9b906d998b92a4675700b

2,533

py

Python

z2/part3/updated_part2_batch/jm/parser_errors_2/371745755.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

1

2020-04-16T12:13:47.000Z

z2/part3/updated_part2_batch/jm/parser_errors_2/371745755.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

18

2020-03-06T17:50:15.000Z

2020-05-19T14:58:30.000Z

z2/part3/updated_part2_batch/jm/parser_errors_2/371745755.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

18

2020-03-06T17:45:13.000Z

2020-06-09T19:18:31.000Z

from part1 import ( gamma_board, gamma_busy_fields, gamma_delete, gamma_free_fields, gamma_golden_move, gamma_golden_possible, gamma_move, gamma_new, ) """ scenario: test_random_actions uuid: 371745755 """ """ random actions, total chaos """ board = gamma_new(4, 4, 3, 6) assert board is not None assert gamma_move(board, 1, 3, 0) == 1 assert gamma_move(board, 1, 2, 3) == 1 assert gamma_move(board, 2, 2, 2) == 1 board922846933 = gamma_board(board) assert board922846933 is not None assert board922846933 == ("..1.\n" "..2.\n" "....\n" "...1\n") del board922846933 board922846933 = None assert gamma_move(board, 1, 3, 2) == 1 assert gamma_move(board, 2, 0, 1) == 1 assert gamma_free_fields(board, 2) == 11 assert gamma_move(board, 3, 2, 1) == 1 assert gamma_move(board, 1, 1, 1) == 1 assert gamma_move(board, 1, 0, 0) == 1 assert gamma_move(board, 2, 0, 3) == 1 assert gamma_move(board, 2, 1, 3) == 1 assert gamma_move(board, 3, 2, 1) == 0 assert gamma_move(board, 3, 1, 0) == 1 assert gamma_move(board, 1, 2, 0) == 1 assert gamma_move(board, 3, 1, 3) == 0 assert gamma_move(board, 1, 3, 3) == 1 assert gamma_free_fields(board, 2) == 3 assert gamma_move(board, 3, 1, 3) == 0 assert gamma_move(board, 3, 3, 0) == 0 assert gamma_move(board, 1, 2, 1) == 0 assert gamma_move(board, 1, 0, 1) == 0 assert gamma_golden_possible(board, 1) == 1 assert gamma_move(board, 2, 2, 1) == 0 assert gamma_move(board, 2, 1, 0) == 0 assert gamma_golden_move(board, 2, 3, 3) == 1 assert gamma_move(board, 3, 2, 1) == 0 assert gamma_move(board, 1, 0, 2) == 1 assert gamma_golden_possible(board, 1) == 1 assert gamma_move(board, 2, 1, 3) == 0 assert gamma_golden_move(board, 2, 1, 2) == 0 assert gamma_move(board, 3, 2, 3) == 0 assert gamma_move(board, 1, 3, 0) == 0 assert gamma_golden_move(board, 1, 0, 1) == 1 assert gamma_move(board, 2, 2, 2) == 0 assert gamma_busy_fields(board, 2) == 4 assert gamma_move(board, 3, 2, 1) == 0 assert gamma_golden_possible(board, 1) == 0 assert gamma_move(board, 2, 2, 1) == 0 assert gamma_busy_fields(board, 2) == 4 assert gamma_move(board, 3, 2, 1) == 0 assert gamma_move(board, 1, 2, 1) == 0 assert gamma_golden_possible(board, 1) == 0 assert gamma_move(board, 2, 2, 1) == 0 assert gamma_move(board, 2, 3, 1) == 1 assert gamma_free_fields(board, 2) == 1 assert gamma_move(board, 1, 2, 1) == 0 assert gamma_free_fields(board, 1) == 1 assert gamma_move(board, 2, 2, 1) == 0 assert gamma_move(board, 2, 3, 0) == 0 assert gamma_golden_possible(board, 2) == 0 gamma_delete(board)

30.518072

62

0.677063

462

2,533

3.536797

0.075758

0.336597

0.330477

0.440636

0.783354

0.773562

0.734394

0.561812

0.434517

0.427173

0

0.114272

0.16739

2,533

82

63

30.890244

0.660503

0

0.279412

0

0.009816

0

0.779412

1

0

false

0

0.014706

0

0.014706

0

null

1

0

1

0

null

0

1

0

6

4fd789a7927924eeb3e4298495bbc6d10e3e94d4

48

py

Python

vnpy_sqlserver/__init__.py

vnpy/vnpy_sqlserver

6f2dc32f4f48f0215c0ca7514595e26194bdff33

[ "MIT" ]

1

2021-07-10T02:04:51.000Z

vnpy_sqlserver/__init__.py

vnpy/vnpy_sqlserver

6f2dc32f4f48f0215c0ca7514595e26194bdff33

[ "MIT" ]

null

vnpy_sqlserver/__init__.py

vnpy/vnpy_sqlserver

6f2dc32f4f48f0215c0ca7514595e26194bdff33

[ "MIT" ]

3

2021-04-13T08:39:52.000Z

2022-01-18T14:05:57.000Z

from .sqlserver_database import database_manager

48

0.916667

6

48

7

0.833333

0

0.0625

48

1

48

0.933333

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

4fe4205ad64db334f50b123ca5d4c4d07bc36057

1,155

py

Python

app/stats/handlers.py

projectweekend/THPL-Data-API

28995ad93d5d16cb9da10f52f30ae16d34c4c5c3

[ "MIT" ]

null

app/stats/handlers.py

projectweekend/THPL-Data-API

28995ad93d5d16cb9da10f52f30ae16d34c4c5c3

[ "MIT" ]

null

app/stats/handlers.py

projectweekend/THPL-Data-API

28995ad93d5d16cb9da10f52f30ae16d34c4c5c3

[ "MIT" ]

null

import falcon from app.stats import data from app.stats.hooks import validate_query_params class LatestReadingResource(object): def on_get(self, req, res, sensor): result = data.latest_reading(sensor=sensor) if result is None: raise falcon.HTTPNotFound res.status = falcon.HTTP_200 res.body = result class HourlyStatsResource(object): @falcon.before(validate_query_params) def on_get(self, req, res, sensor): result = data.hourly_stats( sensor=sensor, start_day=req.context['start_day'], end_day=req.context['end_day']) if result is None: raise falcon.HTTPNotFound res.status = falcon.HTTP_200 res.body = result class DailyStatsResource(object): @falcon.before(validate_query_params) def on_get(self, req, res, sensor): result = data.daily_stats( sensor=sensor, start_day=req.context['start_day'], end_day=req.context['end_day']) if result is None: raise falcon.HTTPNotFound res.status = falcon.HTTP_200 res.body = result

27.5

51

0.637229

142

1,155

5.021127

0.288732

0.044881

0.072931

0.050491

0.746143

0.698457

0

0.01074

0.274459

1,155

41

52

28.170732

0.840095

0

0.71875

0

0.027706

0

1

0.09375

false

0

0.09375

0

0.28125

0

null

0

1

0

1

0

null

0

6

4ff843775934f549f19dc40b88eb6311faf9201f

249

py

Python

jans-pycloudlib/jans/pycloudlib/config/__init__.py

JanssenProject/jans

8d57d01b998bfe87a2377bbe9023dd97fb03cc9f

[ "Apache-2.0" ]

18

2022-01-13T13:45:13.000Z

2022-03-30T04:41:18.000Z

jans-pycloudlib/jans/pycloudlib/config/__init__.py

JanssenProject/jans

8d57d01b998bfe87a2377bbe9023dd97fb03cc9f

[ "Apache-2.0" ]

604

2022-01-13T12:32:50.000Z

2022-03-31T20:27:36.000Z

jans-pycloudlib/jans/pycloudlib/config/__init__.py

JanssenProject/jans

8d57d01b998bfe87a2377bbe9023dd97fb03cc9f

[ "Apache-2.0" ]

8

2022-01-28T00:23:25.000Z

2022-03-16T05:12:12.000Z

# noqa: D104 from jans.pycloudlib.config.consul_config import ConsulConfig # noqa: F401 from jans.pycloudlib.config.kubernetes_config import KubernetesConfig # noqa: F401 from jans.pycloudlib.config.google_config import GoogleConfig # noqa: F401

49.8

83

0.823293

32

249

6.3125

0.4375

0.118812

0.267327

0.356436

0.316832

0

0.054054

0.108434

249

4

84

62.25

0.855856

0.172691

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

8b3f28da7e01d3d6a0d2cf3478c785d5e0f30cdc

163

py

Python

tests/example_app/api/__init__.py

Loudr/pale

dc002ee6032c856551143af222ff8f71ed9853fe

[ "MIT" ]

13

2015-06-18T02:35:31.000Z

2019-03-15T14:39:28.000Z

tests/example_app/api/__init__.py

Loudr/pale

dc002ee6032c856551143af222ff8f71ed9853fe

[ "MIT" ]

34

2015-05-18T17:13:16.000Z

2021-03-25T21:40:42.000Z

tests/example_app/api/__init__.py

Loudr/pale

dc002ee6032c856551143af222ff8f71ed9853fe

[ "MIT" ]

3

2016-06-08T01:05:47.000Z

2020-02-04T17:50:17.000Z

import pale from tests.example_app.api import endpoints, resources _module_type = pale.ImplementationModule __all__ = ['endpoints', 'resources', '_module_type']

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8cb2870538f046487849175833b19933c22cd9fb

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py

Python

CrowdClient/__init__.py

tyler-tee/CrowdClient

7d3ddaf16a015832e1ccad7c3034174b456a3286

[ "MIT" ]

5

2020-07-23T16:48:53.000Z

2021-11-08T10:30:16.000Z

CrowdClient/__init__.py

tyler-tee/CrowdClient

7d3ddaf16a015832e1ccad7c3034174b456a3286

[ "MIT" ]

2

2021-05-26T12:57:27.000Z

2021-09-24T16:49:45.000Z

CrowdClient/__init__.py

tyler-tee/CrowdClient

7d3ddaf16a015832e1ccad7c3034174b456a3286

[ "MIT" ]

1

2020-12-28T14:33:01.000Z

from .crowdclient import *

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8cb93b7df9beb39d6b26f9ab90ee500c270ba8b2

3,555

py

Python

tests/codegen/dynamic_memlet_test.py

jnice-81/dace

5211794a2d17b7189037ac485ab0b292fb02aa0d

[ "BSD-3-Clause" ]

227

2019-03-15T23:39:06.000Z

2022-03-30T07:49:08.000Z

tests/codegen/dynamic_memlet_test.py

jnice-81/dace

5211794a2d17b7189037ac485ab0b292fb02aa0d

[ "BSD-3-Clause" ]

834

2019-07-31T22:49:31.000Z

2022-03-28T14:01:32.000Z

tests/codegen/dynamic_memlet_test.py

jnice-81/dace

5211794a2d17b7189037ac485ab0b292fb02aa0d

[ "BSD-3-Clause" ]

64

2019-03-19T05:40:37.000Z

2022-03-11T15:02:42.000Z

# Copyright 2019-2021 ETH Zurich and the DaCe authors. All rights reserved. """ Tests dereferencing issues with tasklets that use dynamic memlets. """ import dace import numpy as np def test_dynamic_memlets(): """ Tests dynamic memlet dereferencing on one value. """ sdfg = dace.SDFG('test') state = sdfg.add_state('state') sdfg.add_array('out_arr1', dtype=dace.float64, shape=(3, 3)) sdfg.add_array('out_arr2', dtype=dace.float64, shape=(3, 3)) tasklet = state.add_tasklet('tasklet', inputs={}, outputs={'o1', 'o2'}, code='o1 = 1.0; o2 = 2 * o1') map_entry, map_exit = state.add_map('map', ndrange=dict(i='0:3', j='0:3')) state.add_edge(map_entry, None, tasklet, None, dace.Memlet()) state.add_memlet_path(tasklet, map_exit, state.add_write('out_arr1'), src_conn='o1', memlet=dace.Memlet.simple('out_arr1', subset_str='i,j')) state.add_memlet_path(tasklet, map_exit, state.add_write('out_arr2'), src_conn='o2', memlet=dace.Memlet.simple('out_arr2', subset_str='i,j')) sdfg.validate() for state in sdfg.nodes(): for node in state.nodes(): if isinstance(node, (dace.nodes.Tasklet, dace.nodes.MapExit)): for edge in state.out_edges(node): edge.data.dynamic = True A = np.random.rand(3, 3) B = np.random.rand(3, 3) sdfg(out_arr1=A, out_arr2=B) assert np.allclose(A, 1) assert np.allclose(B, 2) def test_dynamic_memlets_subset(): """ Tests dynamic memlet dereferencing when subset/pointer is used in tasklet connector. """ sdfg = dace.SDFG('test') state = sdfg.add_state('state') sdfg.add_array('out_arr1', dtype=dace.float64, shape=(3, 3)) sdfg.add_array('out_arr2', dtype=dace.float64, shape=(3, 3)) tasklet = state.add_tasklet('tasklet', inputs={}, outputs={'o1', 'o2'}, code='o1 = 1.0; o2[i, j] = 2 * o1') map_entry, map_exit = state.add_map('map', ndrange=dict(i='0:3', j='0:3')) state.add_edge(map_entry, None, tasklet, None, dace.Memlet()) state.add_memlet_path(tasklet, map_exit, state.add_write('out_arr1'), src_conn='o1', memlet=dace.Memlet.simple('out_arr1', subset_str='i,j')) state.add_memlet_path(tasklet, map_exit, state.add_write('out_arr2'), src_conn='o2', memlet=dace.Memlet('out_arr2[0:3, 0:3]')) sdfg.validate() for state in sdfg.nodes(): for node in state.nodes(): if isinstance(node, (dace.nodes.Tasklet, dace.nodes.MapExit)): for edge in state.out_edges(node): edge.data.dynamic = True A = np.random.rand(3, 3) B = np.random.rand(3, 3) sdfg(out_arr1=A, out_arr2=B) assert np.allclose(A, 1) assert np.allclose(B, 2) if __name__ == '__main__': test_dynamic_memlets() test_dynamic_memlets_subset()

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null

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6

8cd913023fa7eb33f0789d3e525770286562b326

44

py

Python

CodeWars/8 Kyu/You only need one - Beginner.py

anubhab-code/Competitive-Programming

de28cb7d44044b9e7d8bdb475da61e37c018ac35

[ "MIT" ]

null

CodeWars/8 Kyu/You only need one - Beginner.py

anubhab-code/Competitive-Programming

de28cb7d44044b9e7d8bdb475da61e37c018ac35

[ "MIT" ]

null

CodeWars/8 Kyu/You only need one - Beginner.py

anubhab-code/Competitive-Programming

de28cb7d44044b9e7d8bdb475da61e37c018ac35

[ "MIT" ]

null

def check(seq, elem): return elem in seq

22

0.681818

8

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null

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1

0

null

0

1

0

1

0

6

50e549dbb667969d62fe6635239f1df47a35cf03

161

py

Python

freshdi/freshdi/doctype/news_comment/test_news_comment.py

JackyLN/demo-freshdi

343b11a28a4ff4bd3a8970c9e6406841bc7fbb85

[ "MIT" ]

null

freshdi/freshdi/doctype/news_comment/test_news_comment.py

JackyLN/demo-freshdi

343b11a28a4ff4bd3a8970c9e6406841bc7fbb85

[ "MIT" ]

null

freshdi/freshdi/doctype/news_comment/test_news_comment.py

JackyLN/demo-freshdi

343b11a28a4ff4bd3a8970c9e6406841bc7fbb85

[ "MIT" ]

null

17.888889

60

0.78882

20

161

6.35

0.9

0

0.057143

0.130435

161

8

61

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null

0

1

0

null

0

1

0

1

0

6

0fa3d819fae5ba6bd96870709961580611d98916

176

py

Python

25/02/all.py

pylangstudy/201707

c1cc72667f1e0b6e8eef4ee85067d7fa4ca500b6

[ "CC0-1.0" ]

null

25/02/all.py

pylangstudy/201707

c1cc72667f1e0b6e8eef4ee85067d7fa4ca500b6

[ "CC0-1.0" ]

46

2017-06-30T22:19:07.000Z

2017-07-31T22:51:31.000Z

25/02/all.py

pylangstudy/201707

c1cc72667f1e0b6e8eef4ee85067d7fa4ca500b6

[ "CC0-1.0" ]

null

print(all([])) print(all([True, True])) print(all([True, False])) print(all([False, False])) print() print(all([1])) print(all(['a'])) print(all([None])) print(all([1, None]))

17.6

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1

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null

0

1

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1

0

6

0ffa4ca75389c0caa9664d1f69477202f5caf48c

15,587

py

Python

src/openprocurement/planning/api/tests/plan_status.py

pontostroy/openprocurement.api

6651ef29413d155c83f893ee64a611cf75f4daaf

[ "Apache-2.0" ]

null

src/openprocurement/planning/api/tests/plan_status.py

pontostroy/openprocurement.api

6651ef29413d155c83f893ee64a611cf75f4daaf

[ "Apache-2.0" ]

2

2021-03-25T23:33:30.000Z

2022-03-21T22:18:19.000Z

src/openprocurement/planning/api/tests/plan_status.py

scrubele/prozorro-testing

42b93ea2f25d8cc40e66c596f582c7c05e2a9d76

[ "Apache-2.0" ]

1

2020-08-20T06:09:14.000Z

# -*- coding: utf-8 -*- from openprocurement.planning.api.tests.base import app, singleton_app, test_plan_data, generate_docservice_url from copy import deepcopy import pytest def test_plan_default_status(app): app.authorization = ("Basic", ("broker", "broker")) test_data = deepcopy(test_plan_data) test_data.pop("status", None) response = app.post_json("/plans", {"data": test_data}) assert response.json["data"].get("status") == "scheduled" test_data["status"] = None response = app.post_json("/plans", {"data": test_data}) assert response.json["data"].get("status") == "scheduled" response = app.get("/plans") assert response.status == "200 OK" assert len(response.json["data"]) == 2 @pytest.mark.parametrize("mode", ["real", "test", "_all_"]) def test_plan_draft_status(app, mode): app.authorization = ("Basic", ("broker", "broker")) test_data = deepcopy(test_plan_data) if mode != "real": test_data["mode"] = "test" test_data["status"] = "draft" response = app.post_json("/plans", {"data": test_data}) assert response.status == "201 Created" assert response.json["data"].get("status") == "draft" response = app.get("/plans?mode={}".format(mode)) assert response.status == "200 OK" assert len(response.json["data"]) == 0 response = app.get("/plans?feed=changes&mode={}".format(mode)) assert response.status == "200 OK" assert len(response.json["data"]) == 0 @pytest.mark.parametrize("initial_status", ["scheduled", None]) def test_fail_update_back_to_draft(app, initial_status): app.authorization = ("Basic", ("broker", "broker")) test_data = deepcopy(test_plan_data) test_data["status"] = initial_status response = app.post_json("/plans", {"data": test_data}) assert response.json["data"].get("status") == "scheduled" plan_id = response.json["data"]["id"] acc_token = response.json["access"]["token"] if initial_status is None: plan = app.app.registry.db.get(plan_id) del plan["status"] app.app.registry.db.save(plan) response = app.patch_json( "/plans/{}?acc_token={}".format(plan_id, acc_token), {"data": {"status": "draft"}}, status=422 ) assert response.json == { u"status": u"error", u"errors": [ { u"description": u"Plan status can not be changed back to 'draft'", u"location": u"data", u"name": u"status", } ], } def test_update_status_invalid(app): app.authorization = ("Basic", ("broker", "broker")) test_data = deepcopy(test_plan_data) test_data["status"] = "draft" response = app.post_json("/plans", {"data": test_data}) assert response.json["data"].get("status") == "draft" plan_id = response.json["data"]["id"] acc_token = response.json["access"]["token"] response = app.patch_json( "/plans/{}?acc_token={}".format(plan_id, acc_token), {"data": {"status": "invalid"}}, status=422 ) assert response.json == { "status": "error", "errors": [ { "location": "body", "name": "status", "description": ["Value must be one of ['draft', 'scheduled', 'cancelled', 'complete']."], } ], } response = app.patch_json( "/plans/{}?acc_token={}".format(plan_id, acc_token), {"data": {"status": "cancelled"}}, status=422 ) assert response.json == { u"status": u"error", u"errors": [ {u"description": [u"An active cancellation object is required"], u"location": u"body", u"name": u"status"} ], } @pytest.mark.parametrize("status", ["scheduled", "complete"]) @pytest.mark.parametrize("mode", ["real", "test", "_all_"]) def test_plan_update_draft(app, mode, status): app.authorization = ("Basic", ("broker", "broker")) test_data = deepcopy(test_plan_data) if mode != "real": test_data["mode"] = "test" test_data["status"] = "draft" response = app.post_json("/plans", {"data": test_data}) assert response.status == "201 Created" assert response.json["data"].get("status") == "draft" plan_id = response.json["data"]["id"] acc_token = response.json["access"]["token"] response = app.patch_json("/plans/{}?acc_token={}".format(plan_id, acc_token), {"data": {"status": status}}) assert response.status == "200 OK" assert response.json["data"].get("status") == status response = app.get("/plans?mode={}".format(mode)) assert response.status == "200 OK" assert len(response.json["data"]) == 1 assert response.json["data"][0]["id"] == plan_id response = app.get("/plans?feed=changes&mode={}".format(mode)) assert response.status == "200 OK" assert len(response.json["data"]) == 1 assert response.json["data"][0]["id"] == plan_id def test_plan_update_scheduled_to_complete(app): app.authorization = ("Basic", ("broker", "broker")) test_data = deepcopy(test_plan_data) test_data["status"] = "scheduled" response = app.post_json("/plans", {"data": test_data}) assert response.status == "201 Created" assert response.json["data"].get("status") == "scheduled" plan_id = response.json["data"]["id"] acc_token = response.json["access"]["token"] response = app.patch_json("/plans/{}?acc_token={}".format(plan_id, acc_token), {"data": {"status": "complete"}}) assert response.status == "200 OK" assert response.json["data"].get("status") == "complete" @pytest.mark.parametrize("initial_status", ["draft", "scheduled"]) def test_cancel_plan_2_steps(app, initial_status): app.authorization = ("Basic", ("broker", "broker")) test_data = deepcopy(test_plan_data) test_data["status"] = initial_status response = app.post_json("/plans", {"data": test_data}) assert response.status == "201 Created" assert response.json["data"].get("status") == initial_status plan_id = response.json["data"]["id"] acc_token = response.json["access"]["token"] response = app.patch_json( "/plans/{}?acc_token={}".format(plan_id, acc_token), {"data": {"cancellation": {"reason": "Because", "status": "pending"}}}, ) assert response.status == "200 OK" assert response.json["data"]["cancellation"]["status"] == "pending" assert response.json["data"].get("status") == initial_status create_time = response.json["data"]["cancellation"]["date"] response = app.patch_json( "/plans/{}?acc_token={}".format(plan_id, acc_token), {"data": {"cancellation": {"status": "active"}}} ) assert response.status == "200 OK" assert response.json["data"]["cancellation"]["status"] == "active" assert response.json["data"]["cancellation"]["date"] > create_time assert response.json["data"]["status"] == "cancelled" get_response = app.get("/plans/{}".format(plan_id)) assert get_response.json["data"]["cancellation"]["date"] == response.json["data"]["cancellation"]["date"] def test_cancel_plan_1_step(app): app.authorization = ("Basic", ("broker", "broker")) test_data = deepcopy(test_plan_data) test_data["status"] = "scheduled" response = app.post_json("/plans", {"data": test_data}) assert response.status == "201 Created" assert response.json["data"].get("status") == "scheduled" plan_id = response.json["data"]["id"] acc_token = response.json["access"]["token"] response = app.patch_json( "/plans/{}?acc_token={}".format(plan_id, acc_token), {"data": {"cancellation": {"reason": "", "status": "active"}}}, status=422, ) assert response.json == { "status": "error", "errors": [ {"location": "body", "name": "cancellation", "description": {"reason": ["String value is too short."]}} ], } response = app.patch_json( "/plans/{}?acc_token={}".format(plan_id, acc_token), {"data": {"cancellation": {"reason": "Because", "status": "active"}}}, ) assert response.status == "200 OK" assert response.json["data"]["cancellation"]["status"] == "active" assert response.json["data"]["status"] == "cancelled" plan = app.app.registry.db.get(plan_id) assert {c["path"] for c in plan["revisions"][-1]["changes"]} == {"/cancellation", "/status"} @pytest.mark.parametrize("replaced_status", ["draft", "scheduled", "complete"]) def test_create_cancelled(app, replaced_status): app.authorization = ("Basic", ("broker", "broker")) test_data = deepcopy(test_plan_data) test_data["status"] = replaced_status # this will be replaced by "switch_status" serializable test_data["cancellation"] = {"reason": "Because it's possible", "status": "active"} response = app.post_json("/plans", {"data": test_data}) assert response.status == "201 Created" assert response.json["data"].get("status") == "cancelled" def test_cancel_compatibility_completed_plan(app): """ well I don't know if it's an appropriate case. it's probably not """ app.authorization = ("Basic", ("broker", "broker")) test_data = deepcopy(test_plan_data) response = app.post_json("/plans", {"data": test_data}) assert response.status == "201 Created" plan = response.json["data"] acc_token = response.json["access"]["token"] obj = app.app.registry.db.get(plan["id"]) del obj["status"] obj["tender_id"] = "a" * 32 app.app.registry.db.save(obj) response = app.get("/plans/{}".format(plan["id"])) assert response.json["data"]["status"] == "complete" # complete ! response = app.patch_json( "/plans/{}?acc_token={}".format(plan["id"], acc_token), {"data": {"cancellation": {"reason": "Because it's possible", "status": "active"}}} ) assert response.status == "200 OK" assert response.json["data"]["status"] == "cancelled" # cancelled ! @pytest.mark.parametrize("status", ["cancelled", "complete"]) def test_fail_update_complete_or_cancelled_plan(app, status): app.authorization = ("Basic", ("broker", "broker")) test_data = deepcopy(test_plan_data) test_data["documents"] = [ { "title": u"укр.doc", "url": generate_docservice_url(app), "hash": "md5:" + "0" * 32, "format": "application/msword", } ] test_data["status"] = status if status == "cancelled": test_data["cancellation"] = dict(reason="Because", status="active") response = app.post_json("/plans", {"data": test_data}) assert response.status == "201 Created" assert response.json["data"].get("status") == status plan_id = response.json["data"]["id"] doc_id = response.json["data"]["documents"][0]["id"] acc_token = response.json["access"]["token"] # patch response = app.patch_json("/plans/{}?acc_token={}".format(plan_id, acc_token), {"data": {}}, status=422) assert response.json == { u"status": u"error", u"errors": [ { u"description": u"Can't update plan in '{}' status".format(status), u"location": u"data", u"name": u"status", } ], } # docs response = app.post_json( "/plans/{}/documents?acc_token={}".format(plan_id, acc_token), { "data": { "title": u"укр.doc", "url": generate_docservice_url(app), "hash": "md5:" + "0" * 32, "format": "application/msword", } }, status=422, ) assert response.json == { u"status": u"error", u"errors": [ { u"description": u"Can't update plan in '{}' status".format(status), u"location": u"data", u"name": u"status", } ], } response = app.put_json( "/plans/{}/documents/{}?acc_token={}".format(plan_id, doc_id, acc_token), { "data": { "title": u"укр_2.doc", "url": generate_docservice_url(app), "hash": "md5:" + "0" * 32, "format": "application/msword", } }, status=422, ) assert response.json == { u"status": u"error", u"errors": [ { u"description": u"Can't update plan in '{}' status".format(status), u"location": u"data", u"name": u"status", } ], } response = app.patch_json( "/plans/{}/documents/{}?acc_token={}".format(plan_id, doc_id, acc_token), {"data": {"title": u"whatever.doc"}}, status=422, ) assert response.json == { u"status": u"error", u"errors": [ { u"description": u"Can't update plan in '{}' status".format(status), u"location": u"data", u"name": u"status", } ], } # tender creation response = app.post_json("/plans/{}/tenders".format(plan_id), {"data": {}}, status=422) assert response.json == { u"status": u"error", u"errors": [ { u"description": u"Can't update plan in '{}' status".format(status), u"location": u"data", u"name": u"status", } ], } @pytest.mark.parametrize( "value", [ "aboveThresholdUA", "aboveThresholdUA.defense", "aboveThresholdEU", "esco", "competitiveDialogueUA", "competitiveDialogueEU", "closeFrameworkAgreementUA", ], ) def test_fail_complete_manually(app, value): app.authorization = ("Basic", ("broker", "broker")) test_data = deepcopy(test_plan_data) test_data["status"] = "scheduled" test_data["tender"]["procurementMethodType"] = value response = app.post_json("/plans", {"data": test_data}) assert response.status == "201 Created" assert response.json["data"]["status"] == "scheduled" plan_id = response.json["data"]["id"] acc_token = response.json["access"]["token"] response = app.patch_json( "/plans/{}?acc_token={}".format(plan_id, acc_token), {"data": {"status": "complete"}}, status=422 ) assert response.json == { "status": "error", "errors": [ { "location": "body", "name": "status", "description": ["Can't complete plan with '{}' tender.procurementMethodType".format(value)], } ], } @pytest.mark.parametrize("value", [("open", "belowThreshold"), ("limited", "reporting"), ("", "")]) def test_success_complete_manually(app, value): procurement_method, procurement_method_type = value app.authorization = ("Basic", ("broker", "broker")) test_data = deepcopy(test_plan_data) test_data["status"] = "scheduled" test_data["tender"]["procurementMethod"] = procurement_method test_data["tender"]["procurementMethodType"] = procurement_method_type response = app.post_json("/plans", {"data": test_data}) assert response.status == "201 Created" assert response.json["data"]["status"] == "scheduled" plan_id = response.json["data"]["id"] acc_token = response.json["access"]["token"] response = app.patch_json( "/plans/{}?acc_token={}".format(plan_id, acc_token), {"data": {"status": "complete"}}, status=200 ) assert response.json["data"]["status"] == "complete"

36.164733

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ba18d9928ea3223c29859f8c9079052fcd44f5d3

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py

Python

src/word_segmentation/__init__.py

ruanchaves/word_segmentation

d9ae6cf2c00c512015fd38ec21007d5ed594084c

[ "MIT" ]

1

2020-05-21T12:47:20.000Z

src/word_segmentation/__init__.py

ruanchaves/word_segmentation

d9ae6cf2c00c512015fd38ec21007d5ed594084c

[ "MIT" ]

4

2020-06-03T21:42:36.000Z

2021-06-08T21:43:11.000Z

src/word_segmentation/__init__.py

ruanchaves/word_segmentation

d9ae6cf2c00c512015fd38ec21007d5ed594084c

[ "MIT" ]

null

from .segmenter import * from .argument_classes import * from .translator import *

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84

6.4

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0.154762

84

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true

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1

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ba2231727bd95dc008df8f656a8fef0187df948d

43,796

py

Python

lib/OntologyAPI/OntologyAPIImpl.py

slebras/ontology_api

92a2aaf04d69eff45c9a9ff26afdd17e1fb962a0

[ "MIT" ]

null

lib/OntologyAPI/OntologyAPIImpl.py

slebras/ontology_api

92a2aaf04d69eff45c9a9ff26afdd17e1fb962a0

[ "MIT" ]

null

lib/OntologyAPI/OntologyAPIImpl.py

slebras/ontology_api

92a2aaf04d69eff45c9a9ff26afdd17e1fb962a0

[ "MIT" ]

null

# -*- coding: utf-8 -*- #BEGIN_HEADER import logging import re from OntologyAPI.utils import re_api, misc #END_HEADER class OntologyAPI: ''' Module Name: OntologyAPI Module Description: A KBase module: OntologyAPI ''' ######## WARNING FOR GEVENT USERS ####### noqa # Since asynchronous IO can lead to methods - even the same method - # interrupting each other, you must be *very* careful when using global # state. A method could easily clobber the state set by another while # the latter method is running. ######################################### noqa VERSION = "0.3.11" GIT_URL = "git@github.com:zhlu9890/ontology_api.git" GIT_COMMIT_HASH = "3252a0ee19c691570da69379a63fd091b3432782" #BEGIN_CLASS_HEADER #END_CLASS_HEADER # config contains contents of config file in a hash or None if it couldn't # be found def __init__(self, config): #BEGIN_CONSTRUCTOR self.shared_folder = config['scratch'] logging.basicConfig(format='%(created)s %(levelname)s: %(message)s', level=logging.INFO) #END_CONSTRUCTOR pass def get_descendants(self, ctx, GenericParams): """ Retrieve descendants of an ontology term by ID :param GenericParams: instance of type "GenericParams" (Generic Parameters id - required - ontology term id, such as "GO:0016209" ts - optional - fetch documents with this active timestamp, defaults to now ns - optional - ontology namespace to use, defaults to "go" limit - optional - number of results to return (defaults to 20) offset - optional - number of results to skip (defaults to 0)) -> structure: parameter "id" of type "ID" (Ontology term id, such as "GO:0000002"), parameter "ts" of Long, parameter "ns" of String, parameter "limit" of Long, parameter "offset" of Long :returns: instance of type "GenericResults" (Generic results stats - Query execution information from ArangoDB. results - array of objects of results. ts - Timestamp used in the request ns - Ontology namespace used in the request.) -> structure: parameter "stats" of unspecified object, parameter "results" of list of unspecified object, parameter "ts" of Long, parameter "ns" of String """ # ctx is the context object # return variables are: returnVal #BEGIN get_descendants validated_params=misc.validate_params(GenericParams) results = re_api.query("get_descendants", validated_params) returnVal={"stats": results["stats"], "ts": validated_params["ts"], "ns": validated_params["ns"]} if results.get('error'): returnVal["results"]=[] returnVal["error"]=results.get('error') else: returnVal["results"]=results["results"] #END get_descendants # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method get_descendants return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def get_ancestors(self, ctx, GenericParams): """ Retrieve ancestors of an ontology term by ID :param GenericParams: instance of type "GenericParams" (Generic Parameters id - required - ontology term id, such as "GO:0016209" ts - optional - fetch documents with this active timestamp, defaults to now ns - optional - ontology namespace to use, defaults to "go" limit - optional - number of results to return (defaults to 20) offset - optional - number of results to skip (defaults to 0)) -> structure: parameter "id" of type "ID" (Ontology term id, such as "GO:0000002"), parameter "ts" of Long, parameter "ns" of String, parameter "limit" of Long, parameter "offset" of Long :returns: instance of type "GenericResults" (Generic results stats - Query execution information from ArangoDB. results - array of objects of results. ts - Timestamp used in the request ns - Ontology namespace used in the request.) -> structure: parameter "stats" of unspecified object, parameter "results" of list of unspecified object, parameter "ts" of Long, parameter "ns" of String """ # ctx is the context object # return variables are: returnVal #BEGIN get_ancestors validated_params=misc.validate_params(GenericParams) results = re_api.query("get_ancestors", validated_params) returnVal={"stats": results["stats"], "ts": validated_params["ts"], "ns": validated_params["ns"]} if results.get('error'): returnVal["results"]=[] returnVal["error"]=results.get('error') else: returnVal["results"]=results["results"] #END get_ancestors # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method get_ancestors return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def get_children(self, ctx, GenericParams): """ Retrieve children of an ontology term by ID :param GenericParams: instance of type "GenericParams" (Generic Parameters id - required - ontology term id, such as "GO:0016209" ts - optional - fetch documents with this active timestamp, defaults to now ns - optional - ontology namespace to use, defaults to "go" limit - optional - number of results to return (defaults to 20) offset - optional - number of results to skip (defaults to 0)) -> structure: parameter "id" of type "ID" (Ontology term id, such as "GO:0000002"), parameter "ts" of Long, parameter "ns" of String, parameter "limit" of Long, parameter "offset" of Long :returns: instance of type "GenericResults" (Generic results stats - Query execution information from ArangoDB. results - array of objects of results. ts - Timestamp used in the request ns - Ontology namespace used in the request.) -> structure: parameter "stats" of unspecified object, parameter "results" of list of unspecified object, parameter "ts" of Long, parameter "ns" of String """ # ctx is the context object # return variables are: returnVal #BEGIN get_children validated_params=misc.validate_params(GenericParams) results = re_api.query("get_children", validated_params) returnVal={"stats": results["stats"], "ts": validated_params["ts"], "ns": validated_params["ns"]} if results.get('error'): returnVal["results"]=[] returnVal["error"]=results.get('error') else: returnVal["results"]=results["results"] #END get_children # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method get_children return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def get_parents(self, ctx, GenericParams): """ Retrieve parents of an ontology term by ID :param GenericParams: instance of type "GenericParams" (Generic Parameters id - required - ontology term id, such as "GO:0016209" ts - optional - fetch documents with this active timestamp, defaults to now ns - optional - ontology namespace to use, defaults to "go" limit - optional - number of results to return (defaults to 20) offset - optional - number of results to skip (defaults to 0)) -> structure: parameter "id" of type "ID" (Ontology term id, such as "GO:0000002"), parameter "ts" of Long, parameter "ns" of String, parameter "limit" of Long, parameter "offset" of Long :returns: instance of type "GenericResults" (Generic results stats - Query execution information from ArangoDB. results - array of objects of results. ts - Timestamp used in the request ns - Ontology namespace used in the request.) -> structure: parameter "stats" of unspecified object, parameter "results" of list of unspecified object, parameter "ts" of Long, parameter "ns" of String """ # ctx is the context object # return variables are: returnVal #BEGIN get_parents validated_params=misc.validate_params(GenericParams) results = re_api.query("get_parents", validated_params) returnVal={"stats": results["stats"], "ts": validated_params["ts"], "ns": validated_params["ns"]} if results.get('error'): returnVal["results"]=[] returnVal["error"]=results.get('error') else: returnVal["results"]=results["results"] #END get_parents # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method get_parents return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def get_related(self, ctx, GenericParams): """ Retrieve related terms of an ontology term by ID :param GenericParams: instance of type "GenericParams" (Generic Parameters id - required - ontology term id, such as "GO:0016209" ts - optional - fetch documents with this active timestamp, defaults to now ns - optional - ontology namespace to use, defaults to "go" limit - optional - number of results to return (defaults to 20) offset - optional - number of results to skip (defaults to 0)) -> structure: parameter "id" of type "ID" (Ontology term id, such as "GO:0000002"), parameter "ts" of Long, parameter "ns" of String, parameter "limit" of Long, parameter "offset" of Long :returns: instance of type "GenericResults" (Generic results stats - Query execution information from ArangoDB. results - array of objects of results. ts - Timestamp used in the request ns - Ontology namespace used in the request.) -> structure: parameter "stats" of unspecified object, parameter "results" of list of unspecified object, parameter "ts" of Long, parameter "ns" of String """ # ctx is the context object # return variables are: returnVal #BEGIN get_related validated_params=misc.validate_params(GenericParams) results = re_api.query("get_related", validated_params) returnVal={"stats": results["stats"], "ts": validated_params["ts"], "ns": validated_params["ns"]} if results.get('error'): returnVal["results"]=[] returnVal["error"]=results.get('error') else: returnVal["results"]=results["results"] #END get_related # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method get_related return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def get_siblings(self, ctx, GenericParams): """ Retrieve siblings terms of an ontology term by ID :param GenericParams: instance of type "GenericParams" (Generic Parameters id - required - ontology term id, such as "GO:0016209" ts - optional - fetch documents with this active timestamp, defaults to now ns - optional - ontology namespace to use, defaults to "go" limit - optional - number of results to return (defaults to 20) offset - optional - number of results to skip (defaults to 0)) -> structure: parameter "id" of type "ID" (Ontology term id, such as "GO:0000002"), parameter "ts" of Long, parameter "ns" of String, parameter "limit" of Long, parameter "offset" of Long :returns: instance of type "GenericResults" (Generic results stats - Query execution information from ArangoDB. results - array of objects of results. ts - Timestamp used in the request ns - Ontology namespace used in the request.) -> structure: parameter "stats" of unspecified object, parameter "results" of list of unspecified object, parameter "ts" of Long, parameter "ns" of String """ # ctx is the context object # return variables are: returnVal #BEGIN get_siblings validated_params=misc.validate_params(GenericParams) results = re_api.query("get_siblings", validated_params) returnVal={"stats": results["stats"], "ts": validated_params["ts"], "ns": validated_params["ns"]} if results.get('error'): returnVal["results"]=[] returnVal["error"]=results.get('error') else: returnVal["results"]=results["results"] #END get_siblings # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method get_siblings return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def get_terms(self, ctx, GetTermsParams): """ Retrieve metadata of a list of ontology terms by IDs :param GetTermsParams: instance of type "GetTermsParams" (Parameters for get_terms ids - required - a list of name ontology term id, such as '["GO:0000002", "GO:0000266"]' ts - optional - fetch documents with this active timestamp, defaults to now ns - optional - ontology namespace to use, defaults to "go" limit - optional - number of results to return (defaults to 20) offset - optional - number of results to skip (defaults to 0)) -> structure: parameter "ids" of list of type "ID" (Ontology term id, such as "GO:0000002"), parameter "ts" of Long, parameter "ns" of String, parameter "limit" of Long, parameter "offset" of Long :returns: instance of type "GenericResults" (Generic results stats - Query execution information from ArangoDB. results - array of objects of results. ts - Timestamp used in the request ns - Ontology namespace used in the request.) -> structure: parameter "stats" of unspecified object, parameter "results" of list of unspecified object, parameter "ts" of Long, parameter "ns" of String """ # ctx is the context object # return variables are: returnVal #BEGIN get_terms validated_params=misc.validate_params(GetTermsParams, "get_terms") results = re_api.query("get_terms", validated_params) returnVal={"stats": results["stats"], "ts": validated_params["ts"], "ns": validated_params["ns"]} if results.get('error'): returnVal["results"]=[] returnVal["error"]=results.get('error') else: returnVal["results"]=results["results"] #END get_terms # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method get_terms return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def get_hierarchical_ancestors(self, ctx, GenericParams): """ Retrieve hierarchical_ancestors of an ontology term by ID :param GenericParams: instance of type "GenericParams" (Generic Parameters id - required - ontology term id, such as "GO:0016209" ts - optional - fetch documents with this active timestamp, defaults to now ns - optional - ontology namespace to use, defaults to "go" limit - optional - number of results to return (defaults to 20) offset - optional - number of results to skip (defaults to 0)) -> structure: parameter "id" of type "ID" (Ontology term id, such as "GO:0000002"), parameter "ts" of Long, parameter "ns" of String, parameter "limit" of Long, parameter "offset" of Long :returns: instance of type "GenericResults" (Generic results stats - Query execution information from ArangoDB. results - array of objects of results. ts - Timestamp used in the request ns - Ontology namespace used in the request.) -> structure: parameter "stats" of unspecified object, parameter "results" of list of unspecified object, parameter "ts" of Long, parameter "ns" of String """ # ctx is the context object # return variables are: returnVal #BEGIN get_hierarchical_ancestors validated_params=misc.validate_params(GenericParams) results = re_api.query("get_hierarchicalAncestors", validated_params) returnVal={"stats": results["stats"], "ts": validated_params["ts"], "ns": validated_params["ns"]} if results.get('error'): returnVal["results"]=[] returnVal["error"]=results.get('error') else: returnVal["results"]=results["results"] #END get_hierarchical_ancestors # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method get_hierarchical_ancestors return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def get_hierarchical_children(self, ctx, GenericParams): """ Retrieve hierarchical_children of an ontology term by ID :param GenericParams: instance of type "GenericParams" (Generic Parameters id - required - ontology term id, such as "GO:0016209" ts - optional - fetch documents with this active timestamp, defaults to now ns - optional - ontology namespace to use, defaults to "go" limit - optional - number of results to return (defaults to 20) offset - optional - number of results to skip (defaults to 0)) -> structure: parameter "id" of type "ID" (Ontology term id, such as "GO:0000002"), parameter "ts" of Long, parameter "ns" of String, parameter "limit" of Long, parameter "offset" of Long :returns: instance of type "GenericResults" (Generic results stats - Query execution information from ArangoDB. results - array of objects of results. ts - Timestamp used in the request ns - Ontology namespace used in the request.) -> structure: parameter "stats" of unspecified object, parameter "results" of list of unspecified object, parameter "ts" of Long, parameter "ns" of String """ # ctx is the context object # return variables are: returnVal #BEGIN get_hierarchical_children validated_params=misc.validate_params(GenericParams) results = re_api.query("get_hierarchicalChildren", validated_params) returnVal={"stats": results["stats"], "ts": validated_params["ts"], "ns": validated_params["ns"]} if results.get('error'): returnVal["results"]=[] returnVal["error"]=results.get('error') else: returnVal["results"]=results["results"] #END get_hierarchical_children # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method get_hierarchical_children return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def get_hierarchical_descendants(self, ctx, GenericParams): """ Retrieve hierarchical_descendants of an ontology term by ID :param GenericParams: instance of type "GenericParams" (Generic Parameters id - required - ontology term id, such as "GO:0016209" ts - optional - fetch documents with this active timestamp, defaults to now ns - optional - ontology namespace to use, defaults to "go" limit - optional - number of results to return (defaults to 20) offset - optional - number of results to skip (defaults to 0)) -> structure: parameter "id" of type "ID" (Ontology term id, such as "GO:0000002"), parameter "ts" of Long, parameter "ns" of String, parameter "limit" of Long, parameter "offset" of Long :returns: instance of type "GenericResults" (Generic results stats - Query execution information from ArangoDB. results - array of objects of results. ts - Timestamp used in the request ns - Ontology namespace used in the request.) -> structure: parameter "stats" of unspecified object, parameter "results" of list of unspecified object, parameter "ts" of Long, parameter "ns" of String """ # ctx is the context object # return variables are: returnVal #BEGIN get_hierarchical_descendants validated_params=misc.validate_params(GenericParams) results = re_api.query("get_hierarchicalDescendants", validated_params) returnVal={"stats": results["stats"], "ts": validated_params["ts"], "ns": validated_params["ns"]} if results.get('error'): returnVal["results"]=[] returnVal["error"]=results.get('error') else: returnVal["results"]=results["results"] #END get_hierarchical_descendants # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method get_hierarchical_descendants return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def get_hierarchical_parents(self, ctx, GenericParams): """ Retrieve hierarchical_parents of an ontology term by ID :param GenericParams: instance of type "GenericParams" (Generic Parameters id - required - ontology term id, such as "GO:0016209" ts - optional - fetch documents with this active timestamp, defaults to now ns - optional - ontology namespace to use, defaults to "go" limit - optional - number of results to return (defaults to 20) offset - optional - number of results to skip (defaults to 0)) -> structure: parameter "id" of type "ID" (Ontology term id, such as "GO:0000002"), parameter "ts" of Long, parameter "ns" of String, parameter "limit" of Long, parameter "offset" of Long :returns: instance of type "GenericResults" (Generic results stats - Query execution information from ArangoDB. results - array of objects of results. ts - Timestamp used in the request ns - Ontology namespace used in the request.) -> structure: parameter "stats" of unspecified object, parameter "results" of list of unspecified object, parameter "ts" of Long, parameter "ns" of String """ # ctx is the context object # return variables are: returnVal #BEGIN get_hierarchical_parents validated_params=misc.validate_params(GenericParams) results = re_api.query("get_hierarchicalParents", validated_params) returnVal={"stats": results["stats"], "ts": validated_params["ts"], "ns": validated_params["ns"]} if results.get('error'): returnVal["results"]=[] returnVal["error"]=results.get('error') else: returnVal["results"]=results["results"] #END get_hierarchical_parents # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method get_hierarchical_parents return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def get_associated_ws_genomes(self, ctx, GenericParams): """ Retrieve associated workspace genome objects of an ontology term by ID :param GenericParams: instance of type "GenericParams" (Generic Parameters id - required - ontology term id, such as "GO:0016209" ts - optional - fetch documents with this active timestamp, defaults to now ns - optional - ontology namespace to use, defaults to "go" limit - optional - number of results to return (defaults to 20) offset - optional - number of results to skip (defaults to 0)) -> structure: parameter "id" of type "ID" (Ontology term id, such as "GO:0000002"), parameter "ts" of Long, parameter "ns" of String, parameter "limit" of Long, parameter "offset" of Long :returns: instance of type "GetAssociatedWSObjectsResults" (Results from get_associated_ws_objects stats - Query execution information from ArangoDB. results - array of WSObjectsResults objects. ts - Timestamp used in the request ns - Ontology namespace used in the request. total_count - total count of associated workspace objects) -> structure: parameter "stats" of unspecified object, parameter "results" of list of type "WSObjectsWithFeatureCount" (Workspace obj with count of associated workspace genome features feature_count - count of features associated. ws_obj - WSObj object) -> structure: parameter "feature_count" of Long, parameter "ws_obj" of type "WSObj" (workspace object) -> structure: parameter "workspace_id" of Long, parameter "object_id" of Long, parameter "version" of Long, parameter "name" of String, parameter "ts" of Long, parameter "ns" of String, parameter "total_count" of Long """ # ctx is the context object # return variables are: returnVal #BEGIN get_associated_ws_genomes validated_params=misc.validate_params(GenericParams) results = re_api.query("get_associated_ws_genomes", validated_params) returnVal={"stats": results["stats"], "ts": validated_params["ts"], "ns": validated_params["ns"]} if results.get('error'): returnVal["results"]=[] returnVal["total_count"]=0 returnVal["error"]=results.get('error') else: returnVal["results"]=results["results"][0]["results"] returnVal["total_count"]=results["results"][0]["total_count"] #END get_associated_ws_genomes # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method get_associated_ws_genomes return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def get_associated_ws_features(self, ctx, GetAssociatedWSFeaturesParams): """ Retrieve associated workspace genome features of an ontology term by ID and workspace obj_ref :param GetAssociatedWSFeaturesParams: instance of type "GetAssociatedWSFeaturesParams" (Parameters for get_terms_from_ws_feature id - required - ontology term id, such as "GO:0016209" obj_ref - optional - workspace object ref, such as "6976/926/2" ts - optional - fetch documents with this active timestamp, defaults to now ns - optional - ontology namespace to use, defaults to "go" limit - optional - number of results to return (defaults to 20) offset - optional - number of results to skip (defaults to 0)) -> structure: parameter "id" of type "ID" (Ontology term id, such as "GO:0000002"), parameter "obj_ref" of String, parameter "ns" of String, parameter "ts" of Long, parameter "limit" of Long, parameter "offset" of Long :returns: instance of type "GetAssociatedWSFeaturesResults" (Results from get_associated_ws_features stats - Query execution information from ArangoDB. results - array of WSObjectsResults objects. ts - Timestamp used in the request ns - Ontology namespace used in the request. total_count - total count of associated workspace features) -> structure: parameter "stats" of unspecified object, parameter "results" of list of type "WSObjWithWSFeatures" (Workspace obj with associated workspace genome features ws_obj - WSObj object features - a list of FeatureLite object) -> structure: parameter "ws_obj" of type "WSObj" (workspace object) -> structure: parameter "workspace_id" of Long, parameter "object_id" of Long, parameter "version" of Long, parameter "name" of String, parameter "features" of list of type "FeatureLite" (workspace genome feature, lite version) -> structure: parameter "feature_id" of String, parameter "updated_at" of Long, parameter "ts" of Long, parameter "ns" of String, parameter "total_count" of Long """ # ctx is the context object # return variables are: returnVal #BEGIN get_associated_ws_features validated_params=misc.validate_params(GetAssociatedWSFeaturesParams, "get_associated_ws_features") validated_params['obj_ref']=re.sub('/', ':', validated_params['obj_ref']) results = re_api.query("get_associated_ws_features", validated_params) returnVal={"stats": results["stats"], "ts": validated_params["ts"], "ns": validated_params["ns"]} if results.get('error'): returnVal["results"]=[] returnVal["total_count"]=0 returnVal["error"]=results.get('error') else: returnVal["results"]=results["results"][0]["results"] returnVal["total_count"]=results["results"][0]["total_count"] #END get_associated_ws_features # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method get_associated_ws_features return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def get_terms_from_ws_feature(self, ctx, GetTermsFromWSFeatureParams): """ Retrieve ontology terms of an workspace genome feature by workspace obj_ref and feature id :param GetTermsFromWSFeatureParams: instance of type "GetTermsFromWSFeatureParams" (Parameters for get_terms_from_ws_feature obj_ref - required - workspace object ref, such as "6976/926/2" feature_id - required - workspace feature id, such as "b3908" ts - optional - fetch documents with this active timestamp, defaults to now ns - optional - ontology namespace to use, defaults to "go" limit - optional - number of results to return (defaults to 20) offset - optional - number of results to skip (defaults to 0)) -> structure: parameter "obj_ref" of String, parameter "feature_id" of String, parameter "ns" of String, parameter "ts" of Long, parameter "limit" of Long, parameter "offset" of Long :returns: instance of type "GetTermsFromWSFeatureResults" (Results from get_terms_from_ws_feature stats - Query execution information from ArangoDB. results - array of TermsWithWSFeature objects. ts - Timestamp used in the request ns - Ontology namespace used in the request.) -> structure: parameter "stats" of unspecified object, parameter "results" of list of type "TermsWithWSFeature" (Ontology terms with associated workspace genome feature terms - a list of Term object feature - Feature object) -> structure: parameter "terms" of list of type "Term" (Ontology term) -> structure: parameter "id" of type "ID" (Ontology term id, such as "GO:0000002"), parameter "name" of String, parameter "namespace" of String, parameter "alt_ids" of list of String, parameter "def" of unspecified object, parameter "comments" of list of String, parameter "synonyms" of list of unspecified object, parameter "xrefs" of list of unspecified object, parameter "created" of Long, parameter "expired" of Long, parameter "feature" of type "Feature" (workspace genome feature) -> structure: parameter "feature_id" of String, parameter "updated_at" of Long, parameter "workspace_id" of Long, parameter "object_id" of Long, parameter "version" of Long, parameter "ts" of Long, parameter "ns" of String """ # ctx is the context object # return variables are: returnVal #BEGIN get_terms_from_ws_feature validated_params=misc.validate_params(GetTermsFromWSFeatureParams, "get_terms_from_ws_feature") validated_params['obj_ref']=re.sub('/', ':', validated_params['obj_ref']) validated_params['feature_id']=validated_params['obj_ref'] + '_' + validated_params['feature_id'] del validated_params['obj_ref'] results = re_api.query("get_terms_from_ws_feature", validated_params) returnVal={"stats": results["stats"], "ts": validated_params["ts"], "ns": validated_params["ns"]} if results.get('error'): returnVal["results"]=[] returnVal["error"]=results.get('error') else: returnVal["results"]=results["results"] #END get_terms_from_ws_feature # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method get_terms_from_ws_feature return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def get_terms_from_ws_object(self, ctx, GetTermsFromWSObjParams): """ Retrieve ontology terms of an workspace object by workspace obj_ref :param GetTermsFromWSObjParams: instance of type "GetTermsFromWSObjParams" (Parameters for get_terms_from_ws_object obj_ref - required - workspace object ref, such as "6976/926/2" ts - optional - fetch documents with this active timestamp, defaults to now ns - optional - ontology namespace to use, defaults to "go" limit - optional - number of results to return (defaults to 20) offset - optional - number of results to skip (defaults to 0)) -> structure: parameter "obj_ref" of String, parameter "ns" of String, parameter "ts" of Long, parameter "limit" of Long, parameter "offset" of Long :returns: instance of type "GetTermsFromWSObjResults" (Results from get_terms_from_ws_obj stats - Query execution information from ArangoDB. results - array of TermsWithWSFeature objects. ts - Timestamp used in the request ns - Ontology namespace used in the request.) -> structure: parameter "stats" of unspecified object, parameter "results" of list of type "TermsWithWSFeature" (Ontology terms with associated workspace genome feature terms - a list of Term object feature - Feature object) -> structure: parameter "terms" of list of type "Term" (Ontology term) -> structure: parameter "id" of type "ID" (Ontology term id, such as "GO:0000002"), parameter "name" of String, parameter "namespace" of String, parameter "alt_ids" of list of String, parameter "def" of unspecified object, parameter "comments" of list of String, parameter "synonyms" of list of unspecified object, parameter "xrefs" of list of unspecified object, parameter "created" of Long, parameter "expired" of Long, parameter "feature" of type "Feature" (workspace genome feature) -> structure: parameter "feature_id" of String, parameter "updated_at" of Long, parameter "workspace_id" of Long, parameter "object_id" of Long, parameter "version" of Long, parameter "ts" of Long, parameter "ns" of String """ # ctx is the context object # return variables are: returnVal #BEGIN get_terms_from_ws_object validated_params=misc.validate_params(GetTermsFromWSObjParams, "get_terms_from_ws_object") validated_params['obj_ref']=re.sub('/', ':', validated_params['obj_ref']) results = re_api.query("get_terms_from_ws_object", validated_params) returnVal={"stats": results["stats"], "ts": validated_params["ts"], "ns": validated_params["ns"]} if results.get('error'): returnVal["results"]=[] returnVal["error"]=results.get('error') else: returnVal["results"]=results["results"] #END get_terms_from_ws_object # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method get_terms_from_ws_object return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def get_associated_samples(self, ctx, GenericParams): """ Retrieve associated samples of an ontology term by ID :param GenericParams: instance of type "GenericParams" (Generic Parameters id - required - ontology term id, such as "GO:0016209" ts - optional - fetch documents with this active timestamp, defaults to now ns - optional - ontology namespace to use, defaults to "go" limit - optional - number of results to return (defaults to 20) offset - optional - number of results to skip (defaults to 0)) -> structure: parameter "id" of type "ID" (Ontology term id, such as "GO:0000002"), parameter "ts" of Long, parameter "ns" of String, parameter "limit" of Long, parameter "offset" of Long :returns: instance of type "GetAssociatedSamplesResults" (Results from get_associated_samples stats - Query execution information from ArangoDB. results - array of SampleWithMetadataKey objects. ts - Timestamp used in the request ns - Ontology namespace used in the request. total_count - total count of associated samples) -> structure: parameter "stats" of unspecified object, parameter "results" of list of type "SampleWithMetadataKey" (Sample data with sample_metadata_key id - sample id name - sample name node_tree - sample metadata save_date - sample data saved date version - sample data version sample_metadata_key - metadata key referencing ontology term) -> structure: parameter "id" of String, parameter "name" of String, parameter "node_tree" of unspecified object, parameter "save_date" of Long, parameter "version" of Long, parameter "sample_metadata_key" of String, parameter "ts" of Long, parameter "ns" of String, parameter "total_count" of Long """ # ctx is the context object # return variables are: returnVal #BEGIN get_associated_samples user_id=ctx.get('user_id') validated_params=misc.validate_params(GenericParams, 'get_associated_samples') results = re_api.query("get_associated_samples", validated_params) returnVal={"stats": results["stats"], "ts": validated_params["ts"], "ns": validated_params["ns"]} if results.get('error'): returnVal["results"]=[] returnVal["total_count"]=0 returnVal["error"]=results.get('error') else: returnVal["total_count"]=results["results"][0]["total_count"] returnVal["results"]=[] for x in results["results"][0]["results"]: _sample_access=x.get("sample_access") _sample_metadata_key=x.get("sample_metadata_key") _sample=x.get("sample") if None in [_sample, _sample_metadata_key, _sample_access]: continue if not _sample_access["acls"]["pubread"] \ and user_id != _sample_access["acls"]["owner"] \ and user_id not in _sample_access["acls"]["admin"] \ and user_id not in _sample_access["acls"]["read"]: continue sample={"id": _sample["id"], "save_date": int(_sample["saved"] * 1000), "version": _sample["ver"], "user": _sample_access["acls"]["owner"]} node_tree={"id": _sample["name"], "type": _sample["type"], "parent": _sample["parent"]} meta_controlled={} for m in _sample.get("cmeta", []): if m["ok"] not in meta_controlled: meta_controlled[m["ok"]]={} meta_controlled[m["ok"]][m["k"]]=m["v"] sample_name=meta_controlled.get("name") sample["name"]=sample_name["value"] if sample_name is not None else None node_tree["meta_controlled"]=meta_controlled meta_user={} for m in _sample.get("ucmeta", []): if m["ok"] not in meta_user: meta_user[m["ok"]]={} meta_user[m["ok"]][m["k"]]=m["v"] node_tree["meta_user"]=meta_user source_meta={} for m in _sample.get("smeta", []): source_meta["key"]=m["k"] source_meta["skey"]=m["sk"] source_meta["svalue"]=m["v"] node_tree["source_meta"]=source_meta sample["node_tree"]=[node_tree] returnVal["results"].append({"sample": sample, "sample_metadata_key": _sample_metadata_key}) #END get_associated_samples # At some point might do deeper type checking... if not isinstance(returnVal, dict): raise ValueError('Method get_associated_samples return value ' + 'returnVal is not type dict as required.') # return the results return [returnVal] def status(self, ctx): #BEGIN_STATUS returnVal = {'state': "OK", 'message': "", 'version': self.VERSION, 'git_url': self.GIT_URL, 'git_commit_hash': self.GIT_COMMIT_HASH} #END_STATUS return [returnVal]

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ba285978c1b9f6078cf6e157071b628e760cf0f9

170

py

Python

docker-files/sovrin_config.py

sovrin-foundation/old-sovrin

d4e705054b7252c62fea00114060035c6eb314a4

[ "Apache-2.0" ]

3

2017-07-19T14:26:31.000Z

2020-05-16T16:09:37.000Z

docker-files/sovrin_config.py

sovrin-foundation/old-sovrin

d4e705054b7252c62fea00114060035c6eb314a4

[ "Apache-2.0" ]

null

docker-files/sovrin_config.py

sovrin-foundation/old-sovrin

d4e705054b7252c62fea00114060035c6eb314a4

[ "Apache-2.0" ]

3

2017-10-28T08:19:00.000Z

2021-06-06T10:48:55.000Z

OrientDB = { "user": "sovrin", "password": "password", "startScript": "/opt/orientdb/bin/server.sh", "shutdownScript": "/opt/orientdb/bin/shutdown.sh" }

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null

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0

6

e8449930467f0ad72e5d030dbebffb88074f7745

209

py

Python

src/part_2_automation/bdd_example/features/environment.py

AndreiHustiuc/IT_Factory_Course

c6f3e4a9282a1c19c0f52c79f0c81f026814a02a

[ "MIT" ]

null

src/part_2_automation/bdd_example/features/environment.py

AndreiHustiuc/IT_Factory_Course

c6f3e4a9282a1c19c0f52c79f0c81f026814a02a

[ "MIT" ]

null

src/part_2_automation/bdd_example/features/environment.py

AndreiHustiuc/IT_Factory_Course

c6f3e4a9282a1c19c0f52c79f0c81f026814a02a

[ "MIT" ]

1

2022-03-16T10:39:03.000Z

def before_all(context): print('Setup driver connection') def after_all(contex): print('Close driver connection') # todo : test all hooks from https://www.tutorialspoint.com/behave/behave_hooks.htm

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e848001206b80d1922ba5ceb24fb55a4922ce369

131

py

Python

src/utils/config.py

QingfengTang/YTSystem

1b4540fd61e3f45fb4bf24ac670e3b0f0e41d701

[ "Apache-2.0" ]

null

src/utils/config.py

QingfengTang/YTSystem

1b4540fd61e3f45fb4bf24ac670e3b0f0e41d701

[ "Apache-2.0" ]

null

src/utils/config.py

QingfengTang/YTSystem

1b4540fd61e3f45fb4bf24ac670e3b0f0e41d701

[ "Apache-2.0" ]

1

2021-08-29T09:29:02.000Z

import os # 基础路径 BASE_DIR = ././YTSystem/ BASE_DIR = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

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0.5

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1

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null

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6

e869510e4da236f4cecfcea7e900adc462aa673d

80

py

Python

coms.py

michaelescue/Code

dc052d206f9df424c8826c61b2d854bb79e43b86

[ "MIT" ]

null

coms.py

michaelescue/Code

dc052d206f9df424c8826c61b2d854bb79e43b86

[ "MIT" ]

null

coms.py

michaelescue/Code

dc052d206f9df424c8826c61b2d854bb79e43b86

[ "MIT" ]

null

import serial import time import os from serial.serialwin32 import Serial

8

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1

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6

e8a18ab18fd9ed5ca2e9cb66c5a7d3b6f5260a43

86

py

Python

src/bgmtinygrail/db/__init__.py

no1xsyzy/bgmtinygrail

4e762a58337f3021440a070967f1cb7a0213f8a6

[ "MIT" ]

5

2020-05-17T02:41:01.000Z

2020-07-01T23:24:41.000Z

src/bgmtinygrail/db/__init__.py

no1xsyzy/bgmtinygrail

4e762a58337f3021440a070967f1cb7a0213f8a6

[ "MIT" ]

null

src/bgmtinygrail/db/__init__.py

no1xsyzy/bgmtinygrail

4e762a58337f3021440a070967f1cb7a0213f8a6

[ "MIT" ]

1

2021-02-09T04:41:15.000Z

from . import _base from . import accounts from . import strategy _base.create_all()

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86

5.25

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0.162791

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5

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true

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1

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6

e8ae464912e041af89c3fac54872a44833bc5b20

143

py

Python

config_template.py

seaty6/forgotten-songs

2395d3e20494e6081890ab3c625c4edc73cfc931

[ "MIT" ]

null

config_template.py

seaty6/forgotten-songs

2395d3e20494e6081890ab3c625c4edc73cfc931

[ "MIT" ]

null

config_template.py

seaty6/forgotten-songs

2395d3e20494e6081890ab3c625c4edc73cfc931

[ "MIT" ]

null

last_fm_apikey = 'last_fm_apikey' last_fm_secret = 'last_fm_secret' last_fm_username = 'last_fm_username' last_fm_password = 'last_fm_password'

35.75

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0.788462

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4

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null

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1

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6

e8d104091654a0e42b8a6b6015a8caa66f518eeb

236

py

Python

home/admin.py

shreyjha2309/pixelvibe

abd478cfa1c1c26b21d5728b628577aac65feade

[ "MIT" ]

35

2020-12-17T14:45:37.000Z

2021-05-30T09:36:33.000Z

home/admin.py

shreyjha2309/pixelvibe

abd478cfa1c1c26b21d5728b628577aac65feade

[ "MIT" ]

327

2020-12-17T14:37:13.000Z

2021-06-12T06:52:09.000Z

home/admin.py

shreyjha2309/pixelvibe

abd478cfa1c1c26b21d5728b628577aac65feade

[ "MIT" ]

116

2020-12-17T06:28:28.000Z

2021-06-04T15:16:28.000Z

from django.contrib import admin from import_export.admin import ImportExportModelAdmin from home.models import Contact,Gallery admin.site.register(Gallery) @admin.register(Contact) class ContactAdmin(ImportExportModelAdmin): pass

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0

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true

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