Commit 4b6fe8f7f6d691290aa22639243f1e52b35255f3 - jsonpickle

New upstream version 3.0.0+dfsg1 Louis-Philippe Véronneau 1 year, 5 months ago

60 changed file(s) with 5258 addition(s) and 1750 deletion(s). Raw diff Collapse all Expand all

+49

-0

.github/workflows/lint.yml less more

	0	name: Lint
	1
	2	permissions:
	3	contents: write
	4
	5	on:
	6	push:
	7	branches:
	8	- main
	9
	10	jobs:
	11	lint:
	12	runs-on: ubuntu-latest
	13	steps:
	14	- name: Checkout code
	15	uses: actions/checkout@v3
	16
	17	- uses: actions/setup-python@v3
	18	with:
	19	python-version: "3.10"
	20
	21	- name: Run isort check
	22	uses: isort/isort-action@master
	23	with:
	24	configuration: "--check-only --diff --profile black"
	25
	26	- name: Run isort
	27	if: failure()
	28	uses: isort/isort-action@master
	29	with:
	30	configuration: "--profile black"
	31
	32	- name: Run black check
	33	uses: psf/black@stable
	34	with:
	35	options: "--check --diff"
	36
	37	- name: Run black format
	38	if: failure()
	39	uses: psf/black@stable
	40	with:
	41	options: ""
	42
	43	- name: Commit isort+black format
	44	if: failure()
	45	uses: stefanzweifel/git-auto-commit-action@v4
	46	with:
	47	commit_message: "Apply black to code"
	48

+58

-0

.github/workflows/test.yml less more

	0	name: Test
	1
	2	on: [push, pull_request]
	3
	4	env:
	5	FORCE_COLOR: 1
	6
	7	jobs:
	8	build:
	9	runs-on: ${{ matrix.os }}
	10	strategy:
	11	fail-fast: false
	12	matrix:
	13	python-version: ["3.7", "3.8", "3.9", "3.10", "3.11"]
	14	os: [ubuntu-22.04]
	15	env:
	16	- TOXENV: libs
	17	- TOXENV: sa12
	18	- TOXENV: sa13
	19
	20	steps:
	21	- uses: actions/checkout@v2
	22
	23	- name: Set up Python ${{ matrix.python-version }}
	24	uses: actions/setup-python@v4
	25	with:
	26	python-version: ${{ matrix.python-version }}
	27
	28	- name: Get pip cache dir
	29	id: pip-cache
	30	run: \|
	31	echo "::set-output name=dir::$(pip cache dir)"
	32
	33	- name: Cache
	34	uses: actions/cache@v3
	35	with:
	36	path: ${{ steps.pip-cache.outputs.dir }}
	37	key:
	38	${{ matrix.os }}-${{ matrix.python-version }}-v1-${{
	39	hashFiles('**/setup.py') }}
	40	restore-keys: \|
	41	${{ matrix.os }}-${{ matrix.python-version }}-v1-
	42
	43	- name: Install dependencies
	44	run: \|
	45	python -m pip install -U pip
	46	python -m pip install -U tox tox-venv
	47
	48	- name: Install gmpy2 dependencies
	49	if: matrix.python-version == '3.11'
	50	run: \|
	51	sudo apt-get -y update
	52	sudo apt-get install -y libmpfr-dev libmpc-dev
	53
	54	- name: Tox tests
	55	run: \|
	56	tox
	57	env: ${{ matrix.env }}

-0

.gitignore less more

1	1	/build
2	2	/dist
3	3	/docs/build
	4	/images/benchmark-*.svg
4	5	/.eggs
5	6	/env*
6	7	/tags

14	15	#
15	16	*~
16	17	*.tar.gz
	18
	19	# Local benchmarking files for Theelx
	20	kern*.py
	21	*.lprof

-0

.isort.cfg less more

	0	[tool.isort]
	1	profile = "black"

-1

.pre-commit-config.yaml less more

0	0	repos:
1	1	- repo: https://github.com/psf/black
2		rev: 19.10b0
	2	rev: 22.3.0
3	3	hooks:
4	4	- id: black
5	5

-28

~~.travis.yml~~ less more

0		dist: bionic
1		language: python
2
3		python:
4		- 2.7
5		- 3.6
6		- 3.7
7		- 3.8
8		- &latest_py3 3.9
9
10		env:
11		- TOXENV=libs
12		- TOXENV=sa10
13		- TOXENV=sa11
14		- TOXENV=sa12
15		- TOXENV=sa13
16
17		cache: pip
18
19		install:
20		- pip install tox tox-venv
21
22		before_script:
23		# Enable IPv6. Ref travis-ci/travis-ci#8361
24		- if [ "${TRAVIS_OS_NAME}" == "linux" ]; then
25		sudo sh -c 'echo 0 > /proc/sys/net/ipv6/conf/all/disable_ipv6';
26		fi
27		script: tox

+35

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BENCHMARKS.md less more

	0	*WARNING: CERTAIN BENCHMARKS WILL SHOW VERY HIGH OUTLIER VALUES, TAKE ALL BENCHMARKS WITH A GRAIN OF SALT.*
	1
	2	TL;DR
	3
	4	jsonpickle 2.0.0 shows significant improvement in encoding/decoding speeds for virtually every test, the main benefits come in class encoding/decoding, but there are more minor speedups for other common use cases also. Onto the raw data!
	5
	6	Environment:
	7	- Python 3.9.13
	8	- 8-core Intel i7-11800H CPU (laptop)
	9	- Ubuntu 20.04, Linux kernel 5.17.9 (kernel mainline ppa)
	10	- Turbo boost disabled, plugged in + on battery
	11
	12	Make note of:
	13	- If a benchmark ends with `_e`, it's an encode benchmark, if it ends with `_d` then it's a decode benchmark
	14	- `homog` is short for homogenous, and `heterog` is short for heterogenous
	15
	16	jsonpickle 3.0.0-dev (drops support for python <3.7)
	17
	18	<figure><img src="images/jsonpickle-3.0.0-dev.svg"></figure>
	19
	20	jsonpickle 2.2.0 (latest release of writing)
	21
	22	<figure><img src="images/jsonpickle-2.2.0.svg"></figure>
	23
	24	jsonpickle 1.5.2 (major performance increases reverted due to accidental breaking change)
	25
	26	<figure><img src="images/jsonpickle-1.5.2.svg"></figure>
	27
	28	jsonpickle 1.5.1 (major performance increases in this version)
	29
	30	<figure><img src="images/jsonpickle-1.5.1.svg"></figure>
	31
	32	jsonpickle 0.9.6 (please upgrade from this!)
	33
	34	<figure><img src="images/jsonpickle-0.9.6.svg"></figure>

+73

-3

CHANGES.rst less more

	0	.. warning::
	1	The next major release of jsonpickle (v3.0.0) will drop support for
	2	Python 3.6 and earlier (including Python 2.7).
	3
	4	.. note::
	5	Users on older Python versions should pin requirements to ``jsonpickle<3.0.0``.
	6
	7	v3.0.0
	8	======
	9	* Drop support for CPython<3.7. CPython 3.6 and below have reached EOL
	10	and no longer receieve security updates. (#375)
	11	* Add support for CPython 3.11. (#395) (+396)
	12	* Remove jsonlib and yajl backends (py2 only)
	13	* Add ``include_properties`` option to the pickler. This should only
	14	be used if analyzing generated json outside of Python. (#297) (+387)
	15	* Allow the ``classes`` argument to ``jsonpickle.decode`` to be a dict
	16	of class name to class object. This lets you decode arbitrary dumps
	17	into different classes. (#148) (+392)
	18	* Fix bug with deserializing `numpy.poly1d`. (#391)
	19	* Allow frozen dataclasses to be deserialized. (#240)
	20	* Fixed a bug where pickling a function could return a ``None`` module. (#399)
	21	* Removed old bytes/quopri and ref decoding abaility from the unpickler.
	22	These were last used in jsonpickle<1. Removing them causes a slight speedup
	23	in unpickling lists (~5%). (+403)
	24	* Fixed a bug with namedtuples encoding on CPython 3.11. (#411)
	25	* When using the ``sort_keys`` option for the ``simplejson`` backend,
	26	jsonpickle now produces correct object references with py/id tags. (#408)
	27	* Speed up the internal method ``_restore_tags`` by ~10%. This should speed
	28	up unpickling of almost every object.
	29
	30	v2.2.0
	31	======
	32
	33	* Classes with a custom ``__getitem__()`` and ``append()``
	34	now pickle properly. (#362) (+379)
	35	* Remove the demjson backend, as demjson hasn't been maintained
	36	for 5 years. (+379)
	37	* Added new handler for numpy objects when using unpickleable=False.
	38	(#381) (+382)
	39	* Added exception handling for class attributes that can't be accessed.
	40	(#301) (+383)
	41	* Added a long-requested on_missing attribute to the Unpickler class.
	42	This lets you choose behavior for when jsonpickle can't find a class
	43	to deserialize to. (#190) (#193) (+384)
	44	* Private members of ``__slots__`` are no longer skipped when encoding.
	45	Any objects encoded with versions prior to 2.2.0 should still decode
	46	properly. (#318) (+385)
	47
	48	v2.1.0
	49	======
	50
	51	* Python 3.10 is now officially supported. (+376)
	52	* Benchmarks were added to aid in optimization efforts. (#350) (+352)
	53	* ``is_reducible()`` was sped up by ~80%. (+353) (+354)
	54	* ``_restore_tags()`` was sped up by ~100%. Unpickling items
	55	with a lot of tuples and sets will benefit most. Python 2 users
	56	and users deserializing pickles from jsonpickle <= 0.9.6 may see
	57	a slight performance decrease if using a lot of bytes, ref,
	58	and/or repr objects. (+354)
	59	* ``is_iterator()`` was sped up by ~20% by removing an unnecessary
	60	variable assignment. (+354)
	61	* ``jsonpickle.decode`` has a new option, ``v1_decode`` to assist in
	62	decoding objects created in jsonpickle version 1. (#364)
	63	* The ``encode()`` documentation has been updated to help sklearn users.
	64	* ``demjson`` has been removed from the test suite. (+374)
	65	* ``SQLALchemy<1.2`` is no longer being tested by jsonpickle.
	66	Users of sqlalchemy + jsonpickle can always use 1.2 or 1.3.
	67	When jsonpickle v3 is released we will add SQLAlchemy 1.4 to
	68	the test suite alongside removal of support for Python 3.5 and earlier.
	69
0	70	v2.0.0
1	71	======
2	72	* Major release: the serialized JSON format now preserves dictionary

5	75	dictionary appears twice in a list, the reconstituted list
6	76	will now contain two references to the same dictionary. (#255) (+332)
7	77
8		v1.5.3
	78	v1.5.2
9	79	======
10	80	* Patch release to avoid the change in behavior from the preservation
11	81	of dict identity. The next release will be v2.0.0. (#351)
12		* This relese does not include the performance improvements
	82	* This release does not include the performance improvements
13	83	from v1.5.1.
14	84	* Pandas DataFrame objects with multilevel columns are now supported.
15	85	(#346) (+347)

296	366	(#16).
297	367	* Experimental support for `jsonlib <http://pypi.python.org/pypi/jsonlib/>`_
298	368	and `py-yajl <http://github.com/rtyler/py-yajl/>`_ backends.
299		* New contributers David K. Hess and Alec Thomas
	369	* New contributors David K. Hess and Alec Thomas
300	370
301	371	.. warning::
302	372

+23

-24

LICENSE less more

0	0	Copyright (C) 2008 John Paulett (john -at- paulett.org)
1		Copyright (C) 2009-2018 David Aguilar (davvid -at- gmail.com)
2		All rights reserved.
	1	Copyright (C) 2009-2021 David Aguilar (davvid -at- gmail.com)
3	2
4	3	Redistribution and use in source and binary forms, with or without
5		modification, are permitted provided that the following conditions
6		are met:
	4	modification, are permitted provided that the following conditions are met:
7	5
8		1. Redistributions of source code must retain the above copyright
9		notice, this list of conditions and the following disclaimer.
10		2. Redistributions in binary form must reproduce the above copyright
11		notice, this list of conditions and the following disclaimer in
12		the documentation and/or other materials provided with the
13		distribution.
14		3. The name of the author may not be used to endorse or promote
15		products derived from this software without specific prior
16		written permission.
	6	1. Redistributions of source code must retain the above copyright notice,
	7	this list of conditions and the following disclaimer.
17	8
18		THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS
19		OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
20		WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
21		ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY
22		DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
23		DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE
24		GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
25		INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER
26		IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
27		OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN
28		IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
	9	2. Redistributions in binary form must reproduce the above copyright notice,
	10	this list of conditions and the following disclaimer in the documentation
	11	and/or other materials provided with the distribution.
	12
	13	3. Neither the name of the copyright holder nor the names of its
	14	contributors may be used to endorse or promote products derived from this
	15	software without specific prior written permission.
	16
	17	THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
	18	IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
	19	THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
	20	PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR
	21	CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
	22	EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
	23	PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
	24	OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
	25	WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
	26	OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,
	27	EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

+28

-13

Makefile less more

0	0	#!/usr/bin/env make
	1
	2	DATEANDTIME=$(shell date +%Y-%m-%dT%T%z)
1	3
2	4	# External commands
3	5	BLACK ?= black

5	7	FIND ?= find
6	8	PYTHON ?= python
7	9	PYTEST ?= $(PYTHON) -m pytest
	10	SPHINX ?= $(PYTHON) -m sphinx
	11	BENCHMARK ?= py.test
8	12	RM_R ?= rm -fr
9	13	SH ?= sh
10	14	TOX ?= tox

33	37	NUM_JOBS := $(shell printf %s "$(DASH_J)" \| sed -e 's/-j//')
34	38
35	39	TESTCMD ?= $(PYTEST)
	40	BENCHMARKCMD ?= $(BENCHMARK)
36	41	TOXCMD ?= $(TOX)
37	42	TOXCMD += --develop --skip-missing-interpreters
38	43	ifdef multi
39	44	TOXCMD += --parallel $(NUM_JOBS)
40	45	TOXCMD += -e
41		TOXCMD += 'clean,py{27,36,37,38,39},py{27,38,39}-sa{10,11,12,13},py{27,38,39}-libs'
	46	TOXCMD += 'clean,py{37,38,39,310},py{38,39,310}-sa{12,13},py{38,39,310}-libs'
42	47	# Disable coverage when running in parallel
43	48	TOXCMD += -- --no-cov
44	49	endif
45	50	ifdef V
46	51	TESTCMD += --verbose
47	52	TOXCMD += -v
	53	BENCHMARKCMD += --benchmark-verbose
48	54	endif
49	55
50	56	# Coverage
51		COVERAGE_ENV ?= py39
	57	COVERAGE_ENV ?= py310
52	58
53	59	# Data
54	60	ARTIFACTS := build

63	69	# The default target of this makefile is....
64	70	all:: help
65	71
66		help:
	72	help::
67	73	@echo "---- Makefile Targets ----"
68		@echo "make help - print this message"
69		@echo "make test - run unit tests"
70		@echo "make tox - run unit tests using tox"
71		@echo "make tox multi=1 - run unit tests on multiple pythons using tox"
72		@echo "make clean - remove cruft"
	74	@echo "make help - print this message"
	75	@echo "make test - run unit tests"
	76	@echo "make tox - run unit tests using tox"
	77	@echo "make tox multi=1 - run unit tests on multiple pythons using tox"
	78	@echo "make clean - remove cruft"
	79	@echo "make benchmark - run pytest benchmarking"
	80	@echo "make doc - generate documentation using sphinx"
73	81	.PHONY: help
74	82
75		test:
	83	test::
76	84	$(TESTCMD) $(flags)
77	85	.PHONY: test
78	86
79		tox:
	87	tox::
80	88	$(TOXCMD) $(flags)
81	89	.PHONY: tox
82	90
83		tags:
	91	benchmark::
	92	$(BENCHMARKCMD) --benchmark-only --benchmark-histogram=./images/benchmark-$(DATEANDTIME) ./jsonpickle_benchmarks.py
	93	.PHONY: benchmark
	94
	95	doc::
	96	$(SPHINX) docs build/html
	97
	98	tags::
84	99	$(FIND) $(PYTHON_DIRS) -name '*.py' -print0 \| xargs -0 $(CTAGS) -f tags
85	100
86		clean:
	101	clean::
87	102	$(FIND) $(PYTHON_DIRS) -name '*.py[cod]' -print0 \| xargs -0 rm -f
88	103	$(FIND) $(PYTHON_DIRS) -name '__pycache__' -print0 \| xargs -0 rm -fr
89	104	$(RM_R) $(ARTIFACTS)
90	105	.PHONY: clean
91	106
92	107	format::
93		$(BLACK) --skip-string-normalization --target-version py27 $(PYTHON_DIRS)
	108	$(BLACK) --skip-string-normalization --target-version py310 $(PYTHON_DIRS)
94	109	.PHONY: format

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-133

PKG-INFO less more

0	0	Metadata-Version: 2.1
1	1	Name: jsonpickle
2		Version: 2.0.0
	2	Version: 3.0.0
3	3	Summary: Python library for serializing any arbitrary object graph into JSON
4	4	Home-page: https://github.com/jsonpickle/jsonpickle
5	5	Author: David Aguilar
6	6	Author-email: davvid@gmail.com
7	7	License: UNKNOWN
8		Description: .. image:: https://img.shields.io/pypi/v/jsonpickle.svg
9		:target: `PyPI link`_
10
11		.. image:: https://img.shields.io/pypi/pyversions/jsonpickle.svg
12		:target: `PyPI link`_
13
14		.. _PyPI link: https://pypi.org/project/jsonpickle
15
16		.. image:: https://dev.azure.com/jaraco/jsonpickle/_apis/build/status/jaraco.jsonpickle?branchName=master
17		:target: https://dev.azure.com/jaraco/jsonpickle/_build/latest?definitionId=1&branchName=master
18
19		.. image:: https://readthedocs.org/projects/jsonpickle/badge/?version=latest
20		:target: https://jsonpickle.readthedocs.io/en/latest/?badge=latest
21
22		.. image:: https://travis-ci.org/jsonpickle/jsonpickle.svg?branch=master
23		:target: https://travis-ci.org/jsonpickle/jsonpickle
24		:alt: travis
25
26		.. image:: https://img.shields.io/badge/License-BSD%203--Clause-blue.svg
27		:target: https://github.com/jsonpickle/jsonpickle/blob/master/COPYING
28		:alt: BSD
29
30
31		jsonpickle
32		==========
33		jsonpickle is a library for the two-way conversion of complex Python objects
34		and `JSON <http://json.org/>`_. jsonpickle builds upon the existing JSON
35		encoders, such as simplejson, json, and demjson.
36
37		For complete documentation, please visit the
38		`jsonpickle documentation <http://jsonpickle.readthedocs.io/>`_.
39
40		Bug reports and merge requests are encouraged at the
41		`jsonpickle repository on github <https://github.com/jsonpickle/jsonpickle>`_.
42
43		jsonpickle supports Python 2.7 and Python 3.4 or greater.
44
45		WARNING:
46		jsonpickle can execute arbitrary Python code. Do not load jsonpickles from untrusted / unauthenticated sources.
47
48		Why jsonpickle?
49		===============
50		Data serialized with python's pickle (or cPickle or dill) is not easily readable outside of python. Using the json format, jsonpickle allows simple data types to be stored in a human-readable format, and more complex data types such as numpy arrays and pandas dataframes, to be machine-readable on any platform that supports json. E.g., unlike pickled data, jsonpickled data stored in an Amazon S3 bucket is indexible by Amazon's Athena.
51
52		Install
53		=======
54
55		Install from pip for the latest stable release:
56
57		::
58
59		pip install jsonpickle
60
61		Install from github for the latest changes:
62
63		::
64
65		pip install git+https://github.com/jsonpickle/jsonpickle.git
66
67		If you have the files checked out for development:
68
69		::
70
71		git clone https://github.com/jsonpickle/jsonpickle.git
72		cd jsonpickle
73		python setup.py develop
74
75
76		Numpy Support
77		=============
78		jsonpickle includes a built-in numpy extension. If would like to encode
79		sklearn models, numpy arrays, and other numpy-based data then you must
80		enable the numpy extension by registering its handlers::
81
82		>>> import jsonpickle.ext.numpy as jsonpickle_numpy
83		>>> jsonpickle_numpy.register_handlers()
84
85		Pandas Support
86		==============
87		jsonpickle includes a built-in pandas extension. If would like to encode
88		pandas DataFrame or Series objects then you must enable the pandas extension
89		by registering its handlers::
90
91		>>> import jsonpickle.ext.pandas as jsonpickle_pandas
92		>>> jsonpickle_pandas.register_handlers()
93
94		jsonpickleJS
95		============
96		`jsonpickleJS <https://github.com/cuthbertLab/jsonpickleJS>`_
97		is a javascript implementation of jsonpickle by Michael Scott Cuthbert.
98		jsonpickleJS can be extremely useful for projects that have parallel data
99		structures between Python and Javascript.
100
101		License
102		=======
103		Licensed under the BSD License. See COPYING for details.
104		See jsonpickleJS/LICENSE for details about the jsonpickleJS license.
105
106		Development
107		===========
108
109		Use `make` to run the unit tests::
110
111		make test
112
113		`pytest` is used to run unit tests internally.
114
115		A `tox` target is provided to run tests using tox.
116		Setting ``multi=1`` tests using all installed and supported Python versions::
117
118		make tox
119		make tox multi=1
120
121		`jsonpickle` itself has no dependencies beyond the Python stdlib.
122		`tox` is required for testing when using the `tox` test runner only.
123
124		The testing requirements are specified in `requirements-dev.txt`.
125		It is recommended to create a virtualenv and run tests from within the
126		virtualenv, or use a tool such as `vx <https://github.com/davvid/vx/>`_
127		to activate the virtualenv without polluting the shell environment::
128
129		python3 -mvenv env3x
130		vx env3x pip install --requirement requirements-dev.txt
131		vx env3x make test
132
133		`jsonpickle` supports multiple Python versions, so using a combination of
134		multiple virtualenvs and `tox` is useful in order to catch compatibility
135		issues when developing.
136
137	8	Keywords: json pickle,json,pickle,marshal,serialization,JavaScript Object Notation
138	9	Platform: POSIX
139	10	Platform: Windows

141	12	Classifier: Intended Audience :: Developers
142	13	Classifier: License :: OSI Approved :: BSD License
143	14	Classifier: Programming Language :: Python
144		Classifier: Programming Language :: Python :: 2
145		Classifier: Programming Language :: Python :: 2.7
146	15	Classifier: Programming Language :: Python :: 3
	16	Classifier: Programming Language :: Python :: 3.7
	17	Classifier: Programming Language :: Python :: 3.8
	18	Classifier: Programming Language :: Python :: 3.9
	19	Classifier: Programming Language :: Python :: 3.10
147	20	Classifier: Programming Language :: JavaScript
148	21	Classifier: Operating System :: OS Independent
149	22	Classifier: Topic :: Software Development :: Libraries :: Python Modules
150		Requires-Python: >=2.7
	23	Requires-Python: >=3.7
151	24	Provides-Extra: testing
152	25	Provides-Extra: testing.libs
153	26	Provides-Extra: docs
	27	License-File: LICENSE
	28
	29	.. image:: https://img.shields.io/pypi/v/jsonpickle.svg
	30	:target: `PyPI link`_
	31
	32	.. image:: https://img.shields.io/pypi/pyversions/jsonpickle.svg
	33	:target: `PyPI link`_
	34
	35	.. _PyPI link: https://pypi.org/project/jsonpickle
	36
	37	.. image:: https://readthedocs.org/projects/jsonpickle/badge/?version=latest
	38	:target: https://jsonpickle.readthedocs.io/en/latest/?badge=latest
	39
	40	.. image:: https://github.com/jsonpickle/jsonpickle/actions/workflows/test.yml/badge.svg
	41	:target: https://github.com/jsonpickle/jsonpickle/actions
	42	:alt: Github Actions
	43
	44	.. image:: https://img.shields.io/badge/License-BSD%203--Clause-blue.svg
	45	:target: https://github.com/jsonpickle/jsonpickle/blob/main/COPYING
	46	:alt: BSD
	47
	48
	49	jsonpickle
	50	==========
	51	jsonpickle is a library for the two-way conversion of complex Python objects
	52	and `JSON <http://json.org/>`_. jsonpickle builds upon the existing JSON
	53	encoders, such as simplejson, json, and ujson.
	54
	55	.. warning::
	56
	57	jsonpickle can execute arbitrary Python code.
	58
	59	Please see the Security section for more details.
	60
	61
	62	For complete documentation, please visit the
	63	`jsonpickle documentation <http://jsonpickle.readthedocs.io/>`_.
	64
	65	Bug reports and merge requests are encouraged at the
	66	`jsonpickle repository on github <https://github.com/jsonpickle/jsonpickle>`_.
	67
	68	jsonpickle officially supports CPython 2.7 and CPython 3.6 or greater. Version support below CPython 3.7 will be dropped upon release of jsonpickle 3.0.
	69
	70	Why jsonpickle?
	71	===============
	72	Data serialized with python's pickle (or cPickle or dill) is not easily readable outside of python. Using the json format, jsonpickle allows simple data types to be stored in a human-readable format, and more complex data types such as numpy arrays and pandas dataframes, to be machine-readable on any platform that supports json. E.g., unlike pickled data, jsonpickled data stored in an Amazon S3 bucket is indexible by Amazon's Athena.
	73
	74	Security
	75	========
	76
	77	jsonpickle should be treated the same as the
	78	`Python stdlib pickle module <https://docs.python.org/3/library/pickle.html>`_
	79	from a security perspective.
	80
	81	.. warning::
	82
	83	The jsonpickle module is not secure. Only unpickle data you trust.
	84
	85	It is possible to construct malicious pickle data which will **execute
	86	arbitrary code during unpickling**. Never unpickle data that could have come
	87	from an untrusted source, or that could have been tampered with.
	88
	89	Consider signing data with an HMAC if you need to ensure that it has not
	90	been tampered with.
	91
	92	Safer deserialization approaches, such as reading JSON directly,
	93	may be more appropriate if you are processing untrusted data.
	94
	95
	96	Install
	97	=======
	98
	99	Install from pip for the latest stable release:
	100
	101	::
	102
	103	pip install jsonpickle
	104
	105	Install from github for the latest changes:
	106
	107	::
	108
	109	pip install git+https://github.com/jsonpickle/jsonpickle.git
	110
	111	If you have the files checked out for development:
	112
	113	::
	114
	115	git clone https://github.com/jsonpickle/jsonpickle.git
	116	cd jsonpickle
	117	python setup.py develop
	118
	119
	120	Numpy Support
	121	=============
	122	jsonpickle includes a built-in numpy extension. If would like to encode
	123	sklearn models, numpy arrays, and other numpy-based data then you must
	124	enable the numpy extension by registering its handlers::
	125
	126	>>> import jsonpickle.ext.numpy as jsonpickle_numpy
	127	>>> jsonpickle_numpy.register_handlers()
	128
	129	Pandas Support
	130	==============
	131	jsonpickle includes a built-in pandas extension. If would like to encode
	132	pandas DataFrame or Series objects then you must enable the pandas extension
	133	by registering its handlers::
	134
	135	>>> import jsonpickle.ext.pandas as jsonpickle_pandas
	136	>>> jsonpickle_pandas.register_handlers()
	137
	138	jsonpickleJS
	139	============
	140	`jsonpickleJS <https://github.com/cuthbertLab/jsonpickleJS>`_
	141	is a javascript implementation of jsonpickle by Michael Scott Cuthbert.
	142	jsonpickleJS can be extremely useful for projects that have parallel data
	143	structures between Python and Javascript.
	144
	145	License
	146	=======
	147	Licensed under the BSD License. See COPYING for details.
	148	See jsonpickleJS/LICENSE for details about the jsonpickleJS license.
	149
	150	Development
	151	===========
	152
	153	Use `make` to run the unit tests::
	154
	155	make test
	156
	157	`pytest` is used to run unit tests internally.
	158
	159	A `tox` target is provided to run tests using tox.
	160	Setting ``multi=1`` tests using all installed and supported Python versions::
	161
	162	make tox
	163	make tox multi=1
	164
	165	`jsonpickle` itself has no dependencies beyond the Python stdlib.
	166	`tox` is required for testing when using the `tox` test runner only.
	167
	168	The testing requirements are specified in `requirements-dev.txt`.
	169	It is recommended to create a virtualenv and run tests from within the
	170	virtualenv, or use a tool such as `vx <https://github.com/davvid/vx/>`_
	171	to activate the virtualenv without polluting the shell environment::
	172
	173	python3 -mvenv env3x
	174	vx env3x pip install --requirement requirements-dev.txt
	175	vx env3x make test
	176
	177	`jsonpickle` supports multiple Python versions, so using a combination of
	178	multiple virtualenvs and `tox` is useful in order to catch compatibility
	179	issues when developing.
	180
	181

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5	5
6	6	.. _PyPI link: https://pypi.org/project/jsonpickle
7	7
8		.. image:: https://dev.azure.com/jaraco/jsonpickle/_apis/build/status/jaraco.jsonpickle?branchName=master
9		:target: https://dev.azure.com/jaraco/jsonpickle/_build/latest?definitionId=1&branchName=master
10
11	8	.. image:: https://readthedocs.org/projects/jsonpickle/badge/?version=latest
12	9	:target: https://jsonpickle.readthedocs.io/en/latest/?badge=latest
13	10
14		.. image:: https://travis-ci.org/jsonpickle/jsonpickle.svg?branch=master
15		:target: https://travis-ci.org/jsonpickle/jsonpickle
16		:alt: travis
	11	.. image:: https://github.com/jsonpickle/jsonpickle/actions/workflows/test.yml/badge.svg
	12	:target: https://github.com/jsonpickle/jsonpickle/actions
	13	:alt: Github Actions
17	14
18	15	.. image:: https://img.shields.io/badge/License-BSD%203--Clause-blue.svg
19		:target: https://github.com/jsonpickle/jsonpickle/blob/master/COPYING
	16	:target: https://github.com/jsonpickle/jsonpickle/blob/main/COPYING
20	17	:alt: BSD
21	18
22	19

24	21	==========
25	22	jsonpickle is a library for the two-way conversion of complex Python objects
26	23	and `JSON <http://json.org/>`_. jsonpickle builds upon the existing JSON
27		encoders, such as simplejson, json, and demjson.
	24	encoders, such as simplejson, json, and ujson.
	25
	26	.. warning::
	27
	28	jsonpickle can execute arbitrary Python code.
	29
	30	Please see the Security section for more details.
	31
28	32
29	33	For complete documentation, please visit the
30	34	`jsonpickle documentation <http://jsonpickle.readthedocs.io/>`_.

32	36	Bug reports and merge requests are encouraged at the
33	37	`jsonpickle repository on github <https://github.com/jsonpickle/jsonpickle>`_.
34	38
35		jsonpickle supports Python 2.7 and Python 3.4 or greater.
36
37		WARNING:
38		jsonpickle can execute arbitrary Python code. Do not load jsonpickles from untrusted / unauthenticated sources.
	39	jsonpickle officially supports CPython 2.7 and CPython 3.6 or greater. Version support below CPython 3.7 will be dropped upon release of jsonpickle 3.0.
39	40
40	41	Why jsonpickle?
41	42	===============
42	43	Data serialized with python's pickle (or cPickle or dill) is not easily readable outside of python. Using the json format, jsonpickle allows simple data types to be stored in a human-readable format, and more complex data types such as numpy arrays and pandas dataframes, to be machine-readable on any platform that supports json. E.g., unlike pickled data, jsonpickled data stored in an Amazon S3 bucket is indexible by Amazon's Athena.
	44
	45	Security
	46	========
	47
	48	jsonpickle should be treated the same as the
	49	`Python stdlib pickle module <https://docs.python.org/3/library/pickle.html>`_
	50	from a security perspective.
	51
	52	.. warning::
	53
	54	The jsonpickle module is not secure. Only unpickle data you trust.
	55
	56	It is possible to construct malicious pickle data which will **execute
	57	arbitrary code during unpickling**. Never unpickle data that could have come
	58	from an untrusted source, or that could have been tampered with.
	59
	60	Consider signing data with an HMAC if you need to ensure that it has not
	61	been tampered with.
	62
	63	Safer deserialization approaches, such as reading JSON directly,
	64	may be more appropriate if you are processing untrusted data.
	65
43	66
44	67	Install
45	68	=======

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49	49	- script: \|
50	50	tox -- --junit-xml=test-results.xml
51	51	env:
52		TOXENV: {libs,sa10,sa11,sa12,sa13}
	52	TOXENV: {libs,sa12,sa13}
53	53	displayName: 'run tests'
54	54
55	55	- task: PublishTestResults@2

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conftest.py less more

0	0	collect_ignore = ['contrib']
	1
	2
	3	def pytest_addoption(parser):
	4	parser.addoption(
	5	'--repeat', action='store', help='Number of times to repeat each test'
	6	)
	7
	8
	9	def pytest_generate_tests(metafunc):
	10	if metafunc.config.option.repeat is not None:
	11	count = int(metafunc.config.option.repeat)
	12
	13	# We're going to duplicate these tests by parametrizing them,
	14	# which requires that each test has a fixture to accept the parameter.
	15	# We can add a new fixture like so:
	16	metafunc.fixturenames.append('tmp_ct')
	17
	18	# Now we parametrize. This is what happens when we do e.g.,
	19	# @pytest.mark.parametrize('tmp_ct', range(count))
	20	# def test_foo(): pass
	21	metafunc.parametrize('tmp_ct', range(count))

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36	36
37	37	jsonpickle allows the user to specify what JSON backend to use
38	38	when encoding and decoding. By default, jsonpickle will try to use, in
39		the following order: :mod:`simplejson`, :mod:`json`, and :mod:`demjson`.
40		The prefered backend can be set via :func:`jsonpickle.set_preferred_backend`.
	39	the following order: :mod:`simplejson` and :mod:`json`.
	40	The preferred backend can be set via :func:`jsonpickle.set_preferred_backend`.
41	41	Additional JSON backends can be used via :func:`jsonpickle.load_backend`.
42	42
43	43	For example, users of `Django <http://www.djangoproject.com/>`_ can use the

50	50
51	51	* :mod:`json`
52	52	* `simplejson <http://undefined.org/python/#simplejson>`_
53		* `demjson <https://deron.meranda.us/python/demjson/>`_
54	53
55	54	Experimental backends:
56	55

72	71	-----------------------
73	72
74	73	jsonpickle supports the standard :mod:`pickle` `__getstate__` and `__setstate__`
75		protocol for representating object instances.
	74	protocol for representing object instances.
76	75
77	76	.. method:: object.__getstate__()
78	77

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11	11
12	12	::
13	13
14		git clone git://github.com/jsonpickle/jsonpickle.git
	14	git clone https://github.com/jsonpickle/jsonpickle.git
15	15
16	16	Run the Test Suite
17	17	==================
18	18
19		Before code is pulled into the master jsonpickle branch, all tests should pass.
	19	All tests should pass before before code is merged into the main repository.
20	20	If you are contributing an addition or a change in behavior, we ask that you
21	21	document the change in the form of test cases.
22	22

42	42
43	43	tox -e py37-libs
44	44
45		To create the enivornment without running tests::
	45	To create the environment without running tests::
46	46
47	47	tox -e libs --notest
48	48

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docs/extensions.rst less more

9	9
10	10	>>> import jsonpickle.ext.numpy as jsonpickle_numpy
11	11	>>> jsonpickle_numpy.register_handlers()
	12
	13	Ecdsa
	14	-----
	15	For the ecdsa module's keys, when trying to serialize them with
	16	``gmpy2`` installed, jsonpickle will error unless the ``gmpy``
	17	handlers are registered:
	18
	19	>>> import jsonpickle.ext.gmpy as jsonpickle_gmpy
	20	>>> jsonpickle_gmpy.register_handlers()

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4	4	``jsonpickle`` is a Python library for
5	5	serialization and deserialization of complex Python objects to and from
6	6	JSON. The standard Python libraries for encoding Python into JSON, such as
7		the stdlib's json, simplejson, and demjson, can only handle Python
	7	the stdlib's json and simplejson can only handle Python
8	8	primitives that have a direct JSON equivalent (e.g. dicts, lists, strings,
9	9	ints, etc.). jsonpickle builds on top of these libraries and allows more
10	10	complex data structures to be serialized to JSON. jsonpickle is highly

15	15
16	16	jsonpickle Usage
17	17	================
18
19		.. note::
20
21		Please see the note in the :ref:`api-docs` when serializing dictionaries
22		that contain non-string dictionary keys.
23	18
24	19	.. automodule:: jsonpickle
25	20

78	73
79	74	* John Paulett - john -at- paulett.org - https://github.com/johnpaulett
80	75	* David Aguilar - davvid -at- gmail.com - https://github.com/davvid
	76	* Theelx - https://github.com/Theelx
81	77	* Dan Buch - https://github.com/meatballhat
82	78	* Ian Schenck - https://github.com/ianschenck
83	79	* David K. Hess - https://github.com/davidkhess

98	94	=======
99	95
100	96	jsonpickle is provided under a
101		`New BSD license <https://github.com/jsonpickle/jsonpickle/raw/master/COPYING>`_,
	97	`New BSD license <https://github.com/jsonpickle/jsonpickle/raw/main/COPYING>`_,
102	98
103	99	Copyright (C) 2008-2011 John Paulett (john -at- paulett.org)
104		Copyright (C) 2009-2016 David Aguilar (davvid -at- gmail.com)
	100	Copyright (C) 2009-2021 David Aguilar (davvid -at- gmail.com)

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"jsonpickle_benchmarks.py::complex_homog_tuple_e - 657 rounds", "jsonpickle_benchmarks.py::complex_heterog_set_e - 8602 rounds", "jsonpickle_benchmarks.py::complex_heterog_dict_d - 8509 rounds", "jsonpickle_benchmarks.py::complex_homog_tuple_d - 9192 rounds", "jsonpickle_benchmarks.py::complex_homog_set_d - 9693 rounds", "jsonpickle_benchmarks.py::complex_heterog_set_d - 9429 rounds", "jsonpickle_benchmarks.py::simple_cls_d - 6749 rounds", "jsonpickle_benchmarks.py::complex_heterog_list_e - 8148 rounds", "jsonpickle_benchmarks.py::complex_heterog_tuple_e - 8061 rounds", "jsonpickle_benchmarks.py::complex_heterog_tuple_d - 7751 rounds", "jsonpickle_benchmarks.py::complex_heterog_list_d - 8824 rounds", "jsonpickle_benchmarks.py::complex_homog_list_d - 8567 rounds", "jsonpickle_benchmarks.py::complex_homog_dict_e - 6835 rounds", "jsonpickle_benchmarks.py::complex_heterog_dict_e - 6758 rounds", "jsonpickle_benchmarks.py::simple_cls_e - 5437 rounds", "jsonpickle_benchmarks.py::complex_cls_d 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d="M0.000000 137.388356 h706.000000" class="guide line" /><text x="-5" y="140.8883563245265" class="">220</text><title>220</title></g><g class="guides"><path d="M0.000000 116.345569 h706.000000" class="guide line" /><text x="-5" y="119.84556932429271" class="">240</text><title>240</title></g><g class="guides"><path d="M0.000000 95.302782 h706.000000" class="guide line" /><text x="-5" y="98.80278232405891" class="">260</text><title>260</title></g><g class="guides"><path d="M0.000000 74.259995 h706.000000" class="guide line" /><text x="-5" y="77.75999532382514" class="">280</text><title>280</title></g><g class="guides"><path d="M0.000000 53.217208 h706.000000" class="major guide line" /><text x="-5" y="56.71720832359131" class="major">300</text><title>300</title></g><g class="guides"><path d="M0.000000 32.174421 h706.000000" class="guide line" /><text x="-5" y="35.67442132335748" class="">320</text><title>320</title></g><g class="guides"><path d="M0.000000 11.131634 h706.000000" class="guide line" /><text x="-5" y="14.631634323123706" class="">340</text><title>340</title></g></g><g class="axis x"><path d="M0.000000 0.000000 v360.000000" class="line" /><g class="guides"><path d="M24.891026 0.000000 v360.000000" class="guide line" /><text x="24.89102564102564" y="375.0" class="backwards" transform="rotate(270 24.891026 375.000000)">simple_list_e</text></g><g class="guides"><path d="M47.519231 0.000000 v360.000000" class="guide line" /><text x="47.51923076923077" y="375.0" class="backwards" transform="rotate(270 47.519231 375.000000)">simple_tuple_e</text></g><g class="guides"><path d="M70.147436 0.000000 v360.000000" class="guide line" /><text x="70.1474358974359" y="375.0" class="backwards" transform="rotate(270 70.147436 375.000000)">simple_set_e</text></g><g class="guides"><path d="M92.775641 0.000000 v360.000000" class="guide line" /><text x="92.77564102564102" y="375.0" class="backwards" transform="rotate(270 92.775641 375.000000)">simple_dict_e</text></g><g class="guides"><path d="M115.403846 0.000000 v360.000000" class="guide line" /><text x="115.40384615384615" y="375.0" class="backwards" transform="rotate(270 115.403846 375.000000)">simple_dict_d</text></g><g class="guides"><path d="M138.032051 0.000000 v360.000000" class="guide line" /><text x="138.03205128205127" y="375.0" class="backwards" transform="rotate(270 138.032051 375.000000)">simple_tuple_d</text></g><g class="guides"><path d="M160.660256 0.000000 v360.000000" class="guide line" /><text x="160.6602564102564" y="375.0" class="backwards" transform="rotate(270 160.660256 375.000000)">simple_set_d</text></g><g class="guides"><path d="M183.288462 0.000000 v360.000000" class="guide line" /><text x="183.28846153846155" y="375.0" class="backwards" transform="rotate(270 183.288462 375.000000)">simple_list_d</text></g><g class="guides"><path d="M205.916667 0.000000 v360.000000" class="guide line" /><text x="205.91666666666666" y="375.0" class="backwards" transform="rotate(270 205.916667 375.000000)">complex_homog_list_e</text></g><g class="guides"><path d="M228.544872 0.000000 v360.000000" class="guide line" /><text x="228.5448717948718" y="375.0" class="backwards" transform="rotate(270 228.544872 375.000000)">complex_homog_dict_d</text></g><g class="guides"><path d="M251.173077 0.000000 v360.000000" class="guide line" /><text x="251.17307692307688" y="375.0" class="backwards" transform="rotate(270 251.173077 375.000000)">complex_homog_set_e</text></g><g class="guides"><path d="M273.801282 0.000000 v360.000000" class="guide line" /><text x="273.8012820512821" y="375.0" class="backwards" transform="rotate(270 273.801282 375.000000)">complex_homog_tuple_e</text></g><g class="guides"><path d="M296.429487 0.000000 v360.000000" class="guide line" /><text x="296.4294871794872" y="375.0" class="backwards" transform="rotate(270 296.429487 375.000000)">complex_heterog_set_e</text></g><g class="guides"><path d="M319.057692 0.000000 v360.000000" class="guide line" /><text x="319.05769230769226" y="375.0" class="backwards" transform="rotate(270 319.057692 375.000000)">complex_heterog_dict_d</text></g><g class="guides"><path d="M341.685897 0.000000 v360.000000" class="guide line" /><text x="341.6858974358974" y="375.0" class="backwards" transform="rotate(270 341.685897 375.000000)">complex_homog_tuple_d</text></g><g class="guides"><path d="M364.314103 0.000000 v360.000000" class="guide line" /><text x="364.3141025641026" y="375.0" class="backwards" transform="rotate(270 364.314103 375.000000)">complex_homog_set_d</text></g><g class="guides"><path d="M386.942308 0.000000 v360.000000" class="guide line" /><text x="386.9423076923077" y="375.0" class="backwards" transform="rotate(270 386.942308 375.000000)">complex_heterog_set_d</text></g><g class="guides"><path d="M409.570513 0.000000 v360.000000" class="guide line" /><text x="409.5705128205129" y="375.0" class="backwards" transform="rotate(270 409.570513 375.000000)">simple_cls_d</text></g><g class="guides"><path d="M432.198718 0.000000 v360.000000" class="guide line" /><text x="432.19871794871796" y="375.0" class="backwards" transform="rotate(270 432.198718 375.000000)">complex_heterog_list_e</text></g><g class="guides"><path d="M454.826923 0.000000 v360.000000" class="guide line" /><text x="454.8269230769231" y="375.0" class="backwards" transform="rotate(270 454.826923 375.000000)">complex_heterog_tuple_e</text></g><g class="guides"><path d="M477.455128 0.000000 v360.000000" class="guide line" /><text x="477.4551282051282" y="375.0" class="backwards" transform="rotate(270 477.455128 375.000000)">complex_heterog_tuple_d</text></g><g class="guides"><path d="M500.083333 0.000000 v360.000000" class="guide line" /><text x="500.08333333333337" y="375.0" class="backwards" transform="rotate(270 500.083333 375.000000)">complex_heterog_list_d</text></g><g class="guides"><path d="M522.711538 0.000000 v360.000000" class="guide line" /><text x="522.7115384615385" y="375.0" class="backwards" transform="rotate(270 522.711538 375.000000)">complex_homog_list_d</text></g><g class="guides"><path d="M545.339744 0.000000 v360.000000" class="guide line" /><text x="545.3397435897435" y="375.0" class="backwards" transform="rotate(270 545.339744 375.000000)">complex_homog_dict_e</text></g><g class="guides"><path d="M567.967949 0.000000 v360.000000" class="guide line" /><text x="567.9679487179487" y="375.0" class="backwards" transform="rotate(270 567.967949 375.000000)">complex_heterog_dict_e</text></g><g class="guides"><path d="M590.596154 0.000000 v360.000000" class="guide line" /><text x="590.5961538461538" y="375.0" class="backwards" transform="rotate(270 590.596154 375.000000)">simple_cls_e</text></g><g class="guides"><path d="M613.224359 0.000000 v360.000000" class="guide line" /><text x="613.224358974359" y="375.0" class="backwards" transform="rotate(270 613.224359 375.000000)">complex_cls_d</text></g><g class="guides"><path d="M635.852564 0.000000 v360.000000" class="guide line" /><text x="635.8525641025641" y="375.0" class="backwards" transform="rotate(270 635.852564 375.000000)">state_cls_d</text></g><g class="guides"><path d="M658.480769 0.000000 v360.000000" class="guide line" /><text x="658.4807692307692" y="375.0" class="backwards" transform="rotate(270 658.480769 375.000000)">complex_cls_e</text></g><g class="guides"><path d="M681.108974 0.000000 v360.000000" class="guide line" /><text x="681.1089743589743" y="375.0" class="backwards" transform="rotate(270 681.108974 375.000000)">state_cls_e</text></g></g><g class="series serie-0 color-0"><g class="boxes"><g class="box"><path stroke-width="3" d="M19.912821 352.294131 L29.869231 352.294131" class="reactive tooltip-trigger" /><path stroke-width="3" d="M14.934615 351.603931 L34.847436 351.603931" class="reactive tooltip-trigger" /><path stroke-width="3" d="M19.912821 350.886371 L29.869231 350.886371" class="reactive tooltip-trigger" /><path stroke-width="2" d="M24.891026 352.294131 L24.891026 351.768061" class="reactive tooltip-trigger" /><path stroke-width="2" d="M24.891026 350.886371 L24.891026 351.415594" class="reactive tooltip-trigger" /><rect x="14.934615384615384" y="351.4155943513076" height="0.35246630398063417" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="24.891025641025642" cy="352.4193371161533" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="24.891025641025642" cy="71.16144256592486" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 15.6250
	348	Q1-1.5IQR: 15.7440
	349	Q1: 16.2440
	350	Median: 16.4000
	351	Q3: 16.5790
	352	Q3+1.5IQR: 17.0820
	353	Max: 282.9450</desc><desc class="x centered">24.891025641025642</desc><desc class="y centered">351.5936173174214</desc><desc class="x_label" /></g></g></g><g class="series serie-1 color-1"><g class="boxes"><g class="box"><path stroke-width="3" d="M42.541026 351.494505 L52.497436 351.494505" class="reactive tooltip-trigger" /><path stroke-width="3" d="M37.562821 350.944237 L57.475641 350.944237" class="reactive tooltip-trigger" /><path stroke-width="3" d="M42.541026 350.366612 L52.497436 350.366612" class="reactive tooltip-trigger" /><path stroke-width="2" d="M47.519231 351.494505 L47.519231 351.074703" class="reactive tooltip-trigger" /><path stroke-width="2" d="M47.519231 350.366612 L47.519231 350.791678" class="reactive tooltip-trigger" /><rect x="37.562820512820515" y="350.79167800882203" height="0.28302488433314466" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="47.519230769230774" cy="351.6491696876072" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="47.519230769230774" cy="334.39092910676317" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 16.3570
	354	Q1-1.5IQR: 16.5040
	355	Q1: 16.9030
	356	Median: 17.0270
	357	Q3: 17.1720
	358	Q3+1.5IQR: 17.5760
	359	Max: 32.7600</desc><desc class="x centered">47.519230769230774</desc><desc class="y centered">350.93434717003925</desc><desc class="x_label" /></g></g></g><g class="series serie-2 color-2"><g class="boxes"><g class="box"><path stroke-width="3" d="M65.169231 351.309331 L75.125641 351.309331" class="reactive tooltip-trigger" /><path stroke-width="3" d="M60.191026 350.753799 L80.103846 350.753799" class="reactive tooltip-trigger" /><path stroke-width="3" d="M65.169231 350.179333 L75.125641 350.179333" class="reactive tooltip-trigger" /><path stroke-width="2" d="M70.147436 351.309331 L70.147436 350.888472" class="reactive tooltip-trigger" /><path stroke-width="2" d="M70.147436 350.179333 L70.147436 350.605447" class="reactive tooltip-trigger" /><rect x="60.19102564102564" y="350.60544700719447" height="0.28302488433314466" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="70.1474358974359" cy="351.42190999139245" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="70.1474358974359" cy="331.6595755318382" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 16.5730
	360	Q1-1.5IQR: 16.6800
	361	Q1: 17.0800
	362	Median: 17.2080
	363	Q3: 17.3490
	364	Q3+1.5IQR: 17.7540
	365	Max: 35.3560</desc><desc class="x centered">70.1474358974359</desc><desc class="y centered">350.74727637966345</desc><desc class="x_label" /></g></g></g><g class="series serie-3 color-3"><g class="boxes"><g class="box"><path stroke-width="3" d="M87.797436 349.709024 L97.753846 349.709024" class="reactive tooltip-trigger" /><path stroke-width="3" d="M82.819231 348.872573 L102.732051 348.872573" class="reactive tooltip-trigger" /><path stroke-width="3" d="M87.797436 347.682607 L97.753846 347.682607" class="reactive tooltip-trigger" /><path stroke-width="2" d="M92.775641 349.709024 L92.775641 349.072480" class="reactive tooltip-trigger" /><path stroke-width="2" d="M92.775641 347.682607 L92.775641 348.516950" class="reactive tooltip-trigger" /><rect x="82.81923076923077" y="348.51694999660333" height="0.5555304002644448" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="92.77564102564102" cy="349.70902419186234" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="92.77564102564102" cy="121.51367929534689" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 18.2010
	366	Q1-1.5IQR: 18.2010
	367	Q1: 18.8060
	368	Median: 18.9960
	369	Q3: 19.3340
	370	Q3+1.5IQR: 20.1270
	371	Max: 235.0880</desc><desc class="x centered">92.77564102564102</desc><desc class="y centered">348.77072696032076</desc><desc class="x_label" /></g></g></g><g class="series serie-4 color-4"><g class="boxes"><g class="box"><path stroke-width="3" d="M110.425641 343.922260 L120.382051 343.922260" class="reactive tooltip-trigger" /><path stroke-width="3" d="M105.447436 343.263619 L125.360256 343.263619" class="reactive tooltip-trigger" /><path stroke-width="3" d="M110.425641 342.555528 L120.382051 342.555528" class="reactive tooltip-trigger" /><path stroke-width="2" d="M115.403846 343.922260 L115.403846 343.413024" class="reactive tooltip-trigger" /><path stroke-width="2" d="M115.403846 342.555528 L115.403846 343.070027" class="reactive tooltip-trigger" /><rect x="105.4474358974359" y="343.0700271623895" height="0.3429966715140722" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="115.40384615384615" cy="343.9222596354314" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="115.40384615384615" cy="323.53600500573083" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 23.7010
	372	Q1-1.5IQR: 23.7010
	373	Q1: 24.1850
	374	Median: 24.3270
	375	Q3: 24.5110
	376	Q3+1.5IQR: 25.0000
	377	Max: 43.0770</desc><desc class="x centered">115.40384615384615</desc><desc class="y centered">343.2448915429287</desc><desc class="x_label" /></g></g></g><g class="series serie-5 color-5"><g class="boxes"><g class="box"><path stroke-width="3" d="M133.053846 339.908349 L143.010256 339.908349" class="reactive tooltip-trigger" /><path stroke-width="3" d="M128.075641 339.200255 L147.988462 339.200255" class="reactive tooltip-trigger" /><path stroke-width="3" d="M133.053846 338.478492 L143.010256 338.478492" class="reactive tooltip-trigger" /><path stroke-width="2" d="M138.032051 339.908349 L138.032051 339.373862" class="reactive tooltip-trigger" /><path stroke-width="2" d="M138.032051 338.478492 L138.032051 339.017185" class="reactive tooltip-trigger" /><rect x="128.07564102564103" y="339.0171852284619" height="0.356676730703839" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="138.0320512820513" cy="340.0861589862319" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="138.0320512820513" cy="120.16904124468806" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 27.3470
	378	Q1-1.5IQR: 27.5160
	379	Q1: 28.0240
	380	Median: 28.1890
	381	Q3: 28.3630
	382	Q3+1.5IQR: 28.8750
	383	Max: 236.3660</desc><desc class="x centered">138.0320512820513</desc><desc class="y centered">339.19562847171585</desc><desc class="x_label" /></g></g></g><g class="series serie-6 color-6"><g class="boxes"><g class="box"><path stroke-width="3" d="M155.682051 339.137129 L165.638462 339.137129" class="reactive tooltip-trigger" /><path stroke-width="3" d="M150.703846 338.421674 L170.616667 338.421674" class="reactive tooltip-trigger" /><path stroke-width="3" d="M155.682051 337.693595 L165.638462 337.693595" class="reactive tooltip-trigger" /><path stroke-width="2" d="M160.660256 339.137129 L160.660256 338.599484" class="reactive tooltip-trigger" /><path stroke-width="2" d="M160.660256 337.693595 L160.660256 338.237548" class="reactive tooltip-trigger" /><rect x="150.70384615384614" y="338.2375481674493" height="0.3619359364471393" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="160.6602564102564" cy="339.28337606122363" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="160.6602564102564" cy="72.87853496451748" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 28.1100
	384	Q1-1.5IQR: 28.2490
	385	Q1: 28.7600
	386	Median: 28.9290
	387	Q3: 29.1040
	388	Q3+1.5IQR: 29.6210
	389	Max: 281.3130</desc><desc class="x centered">160.6602564102564</desc><desc class="y centered">338.41788610272863</desc><desc class="x_label" /></g></g></g><g class="series serie-7 color-7"><g class="boxes"><g class="box"><path stroke-width="3" d="M178.310256 337.842997 L188.266667 337.842997" class="reactive tooltip-trigger" /><path stroke-width="3" d="M173.332051 337.019169 L193.244872 337.019169" class="reactive tooltip-trigger" /><path stroke-width="3" d="M178.310256 336.149054 L188.266667 336.149054" class="reactive tooltip-trigger" /><path stroke-width="2" d="M183.288462 337.842997 L183.288462 337.210660" class="reactive tooltip-trigger" /><path stroke-width="2" d="M183.288462 336.149054 L183.288462 336.787703" class="reactive tooltip-trigger" /><rect x="173.33205128205125" y="336.7877030359598" height="0.42295650264821916" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="183.28846153846152" cy="337.9345314115023" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="183.28846153846152" cy="122.70680322654121" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 29.3920
	390	Q1-1.5IQR: 29.4790
	391	Q1: 30.0800
	392	Median: 30.2620
	393	Q3: 30.4820
	394	Q3+1.5IQR: 31.0890
	395	Max: 233.9540</desc><desc class="x centered">183.28846153846152</desc><desc class="y centered">337.00191653358974</desc><desc class="x_label" /></g></g></g><g class="series serie-8 color-8"><g class="boxes"><g class="box"><path stroke-width="3" d="M200.938462 320.043954 L210.894872 320.043954" class="reactive tooltip-trigger" /><path stroke-width="3" d="M195.960256 318.446809 L215.873077 318.446809" class="reactive tooltip-trigger" /><path stroke-width="3" d="M200.938462 316.764437 L210.894872 316.764437" class="reactive tooltip-trigger" /><path stroke-width="2" d="M205.916667 320.043954 L205.916667 318.830838" class="reactive tooltip-trigger" /><path stroke-width="2" d="M205.916667 316.764437 L205.916667 318.005435" class="reactive tooltip-trigger" /><rect x="195.9602564102564" y="318.00543534625456" height="0.8254024856635169" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="205.91666666666666" cy="320.0439536347262" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="205.91666666666666" cy="36.15571364666221" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 46.3960
	396	Q1-1.5IQR: 46.3960
	397	Q1: 47.5490
	398	Median: 47.9140
	399	Q3: 48.3335
	400	Q3+1.5IQR: 49.5130
	401	Max: 316.2160</desc><desc class="x centered">205.91666666666666</desc><desc class="y centered">318.41829448008843</desc><desc class="x_label" /></g></g></g><g class="series serie-9 color-9"><g class="boxes"><g class="box"><path stroke-width="3" d="M223.566667 319.699904 L233.523077 319.699904" class="reactive tooltip-trigger" /><path stroke-width="3" d="M218.588462 318.779283 L238.501282 318.779283" class="reactive tooltip-trigger" /><path stroke-width="3" d="M223.566667 317.782909 L233.523077 317.782909" class="reactive tooltip-trigger" /><path stroke-width="2" d="M228.544872 319.699904 L228.544872 318.990765" class="reactive tooltip-trigger" /><path stroke-width="2" d="M228.544872 317.782909 L228.544872 318.507833" class="reactive tooltip-trigger" /><rect x="218.58846153846153" y="318.50783303201786" height="0.4829321174897814" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="228.5448717948718" cy="319.78092062200693" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="228.5448717948718" cy="38.68926902945282" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 46.6460
	402	Q1-1.5IQR: 46.7230
	403	Q1: 47.3970
	404	Median: 47.5980
	405	Q3: 47.8560
	406	Q3+1.5IQR: 48.5450
	407	Max: 313.8080</desc><desc class="x centered">228.5448717948718</desc><desc class="y centered">318.7521388322045</desc><desc class="x_label" /></g></g></g><g class="series serie-10 color-10"><g class="boxes"><g class="box"><path stroke-width="3" d="M246.194872 316.825461 L256.151282 316.825461" class="reactive tooltip-trigger" /><path stroke-width="3" d="M241.216667 315.421908 L261.129487 315.421908" class="reactive tooltip-trigger" /><path stroke-width="3" d="M246.194872 313.916294 L256.151282 313.916294" class="reactive tooltip-trigger" /><path stroke-width="2" d="M251.173077 316.825461 L251.173077 315.768059" class="reactive tooltip-trigger" /><path stroke-width="2" d="M251.173077 313.916294 L251.173077 315.029462" class="reactive tooltip-trigger" /><rect x="241.21666666666664" y="315.02946172020296" height="0.7385968834435062" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="251.1730769230769" cy="317.2431586401538" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="251.1730769230769" cy="151.76794548514488" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 49.0580
	408	Q1-1.5IQR: 49.4550
	409	Q1: 50.4600
	410	Median: 50.7890
	411	Q3: 51.1620
	412	Q3+1.5IQR: 52.2200
	413	Max: 206.3330</desc><desc class="x centered">251.1730769230769</desc><desc class="y centered">315.39223667986624</desc><desc class="x_label" /></g></g></g><g class="series serie-11 color-11"><g class="boxes"><g class="box"><path stroke-width="3" d="M268.823077 317.085340 L278.779487 317.085340" class="reactive tooltip-trigger" /><path stroke-width="3" d="M263.844872 315.614451 L283.757692 315.614451" class="reactive tooltip-trigger" /><path stroke-width="3" d="M268.823077 314.020460 L278.779487 314.020460" class="reactive tooltip-trigger" /><path stroke-width="2" d="M273.801282 317.085340 L273.801282 315.952711" class="reactive tooltip-trigger" /><path stroke-width="2" d="M273.801282 314.020460 L273.801282 315.195435" class="reactive tooltip-trigger" /><rect x="263.84487179487184" y="315.19543482780097" height="0.7572758674518241" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="273.8012820512821" cy="317.17582243386795" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="273.8012820512821" cy="293.9698411999832" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 49.1220
	414	Q1-1.5IQR: 49.2080
	415	Q1: 50.2845
	416	Median: 50.6060
	417	Q3: 51.0043
	418	Q3+1.5IQR: 52.1210
	419	Max: 71.1780</desc><desc class="x centered">273.8012820512821</desc><desc class="y centered">315.5736792780113</desc><desc class="x_label" /></g></g></g><g class="series serie-12 color-12"><g class="boxes"><g class="box"><path stroke-width="3" d="M291.451282 314.157234 L301.407692 314.157234" class="reactive tooltip-trigger" /><path stroke-width="3" d="M286.473077 312.689504 L306.385897 312.689504" class="reactive tooltip-trigger" /><path stroke-width="3" d="M291.451282 311.163900 L301.407692 311.163900" class="reactive tooltip-trigger" /><path stroke-width="2" d="M296.429487 314.157234 L296.429487 313.036705" class="reactive tooltip-trigger" /><path stroke-width="2" d="M296.429487 311.163900 L296.429487 312.287586" class="reactive tooltip-trigger" /><rect x="286.473076923077" y="312.28758590613063" height="0.7491191225908551" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="296.42948717948724" cy="314.25297865157205" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="296.42948717948724" cy="166.53998267319162" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 51.9000
	420	Q1-1.5IQR: 51.9910
	421	Q1: 53.0560
	422	Median: 53.3860
	423	Q3: 53.7680
	424	Q3+1.5IQR: 54.8360
	425	Max: 192.2930</desc><desc class="x centered">296.42948717948724</desc><desc class="y centered">312.6669855443274</desc><desc class="x_label" /></g></g></g><g class="series serie-13 color-13"><g class="boxes"><g class="box"><path stroke-width="3" d="M314.079487 310.134910 L324.035897 310.134910" class="reactive tooltip-trigger" /><path stroke-width="3" d="M309.101282 308.377837 L329.014103 308.377837" class="reactive tooltip-trigger" /><path stroke-width="3" d="M314.079487 306.556583 L324.035897 306.556583" class="reactive tooltip-trigger" /><path stroke-width="2" d="M319.057692 310.134910 L319.057692 308.795535" class="reactive tooltip-trigger" /><path stroke-width="2" d="M319.057692 306.556583 L319.057692 307.900164" class="reactive tooltip-trigger" /><rect x="309.1012820512821" y="307.90016432647474" height="0.8953702086513431" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="319.0576923076924" cy="310.63888232050465" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="319.0576923076924" cy="173.65138958100692" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 55.3350
	426	Q1-1.5IQR: 55.8140
	427	Q1: 57.0870
	428	Median: 57.4840
	429	Q3: 57.9380
	430	Q3+1.5IQR: 59.2150
	431	Max: 185.5340</desc><desc class="x centered">319.0576923076924</desc><desc class="y centered">308.3530056724721</desc><desc class="x_label" /></g></g></g><g class="series serie-14 color-14"><g class="boxes"><g class="box"><path stroke-width="3" d="M336.707692 308.566166 L346.664103 308.566166" class="reactive tooltip-trigger" /><path stroke-width="3" d="M331.729487 307.531913 L351.642308 307.531913" class="reactive tooltip-trigger" /><path stroke-width="3" d="M336.707692 306.446109 L346.664103 306.446109" class="reactive tooltip-trigger" /><path stroke-width="2" d="M341.685897 308.566166 L341.685897 307.786533" class="reactive tooltip-trigger" /><path stroke-width="2" d="M341.685897 306.446109 L341.685897 307.250467" class="reactive tooltip-trigger" /><rect x="331.7294871794872" y="307.25046677563085" height="0.5360657889061713" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="341.68589743589746" cy="308.9102189037446" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="341.68589743589746" cy="172.1373622356133" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 56.9780
	432	Q1-1.5IQR: 57.3050
	433	Q1: 58.0460
	434	Median: 58.2880
	435	Q3: 58.5555
	436	Q3+1.5IQR: 59.3200
	437	Max: 186.9730</desc><desc class="x centered">341.68589743589746</desc><desc class="y centered">307.5162373312524</desc><desc class="x_label" /></g></g></g><g class="series serie-15 color-15"><g class="boxes"><g class="box"><path stroke-width="3" d="M359.335897 307.552957 L369.292308 307.552957" class="reactive tooltip-trigger" /><path stroke-width="3" d="M354.357692 306.421906 L374.270513 306.421906" class="reactive tooltip-trigger" /><path stroke-width="3" d="M359.335897 305.224572 L369.292308 305.224572" class="reactive tooltip-trigger" /><path stroke-width="2" d="M364.314103 307.552957 L364.314103 306.693357" class="reactive tooltip-trigger" /><path stroke-width="2" d="M364.314103 305.224572 L364.314103 306.106266" class="reactive tooltip-trigger" /><rect x="354.35769230769233" y="306.10626608912975" height="0.5870913762154828" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="364.3141025641026" cy="307.9148931646846" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="364.3141025641026" cy="205.57856165476795" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 57.9240
	438	Q1-1.5IQR: 58.2680
	439	Q1: 59.0850
	440	Median: 59.3430
	441	Q3: 59.6430
	442	Q3+1.5IQR: 60.4810
	443	Max: 155.1890</desc><desc class="x centered">364.3141025641026</desc><desc class="y centered">306.399811872929</desc><desc class="x_label" /></g></g></g><g class="series serie-16 color-16"><g class="boxes"><g class="box"><path stroke-width="3" d="M381.964103 307.046879 L391.920513 307.046879" class="reactive tooltip-trigger" /><path stroke-width="3" d="M376.985897 305.812719 L396.898718 305.812719" class="reactive tooltip-trigger" /><path stroke-width="3" d="M381.964103 304.538579 L391.920513 304.538579" class="reactive tooltip-trigger" /><path stroke-width="2" d="M386.942308 307.046879 L386.942308 306.108633" class="reactive tooltip-trigger" /><path stroke-width="2" d="M386.942308 304.538579 L386.942308 305.481293" class="reactive tooltip-trigger" /><rect x="376.98589743589747" y="305.4812933123027" height="0.627340184943705" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="386.94230769230774" cy="307.18891607842875" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="386.94230769230774" cy="234.8911620802628" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 58.6140
	444	Q1-1.5IQR: 58.7490
	445	Q1: 59.6407
	446	Median: 59.9220
	447	Q3: 60.2370
	448	Q3+1.5IQR: 61.1330
	449	Max: 127.3290</desc><desc class="x centered">386.94230769230774</desc><desc class="y centered">305.79762075818593</desc><desc class="x_label" /></g></g></g><g class="series serie-17 color-17"><g class="boxes"><g class="box"><path stroke-width="3" d="M404.592308 306.305121 L414.548718 306.305121" class="reactive tooltip-trigger" /><path stroke-width="3" d="M399.614103 304.230299 L419.526923 304.230299" class="reactive tooltip-trigger" /><path stroke-width="3" d="M404.592308 302.112347 L414.548718 302.112347" class="reactive tooltip-trigger" /><path stroke-width="2" d="M409.570513 306.305121 L409.570513 304.749268" class="reactive tooltip-trigger" /><path stroke-width="2" d="M409.570513 302.112347 L409.570513 303.695550" class="reactive tooltip-trigger" /><rect x="399.6141025641026" y="303.69554990598834" height="1.053717659304482" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="409.5705128205129" cy="307.14157174375674" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="409.5705128205129" cy="281.7471370119571" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 58.6590
	450	Q1-1.5IQR: 59.4540
	451	Q1: 60.9328
	452	Median: 61.4260
	453	Q3: 61.9343
	454	Q3+1.5IQR: 63.4390
	455	Max: 82.7950</desc><desc class="x centered">409.5705128205129</desc><desc class="y centered">304.21851686597563</desc><desc class="x_label" /></g></g></g><g class="series serie-18 color-18"><g class="boxes"><g class="box"><path stroke-width="3" d="M427.220513 306.211477 L437.176923 306.211477" class="reactive tooltip-trigger" /><path stroke-width="3" d="M422.242308 303.826280 L442.155128 303.826280" class="reactive tooltip-trigger" /><path stroke-width="3" d="M427.220513 301.335864 L437.176923 301.335864" class="reactive tooltip-trigger" /><path stroke-width="2" d="M432.198718 306.211477 L432.198718 304.388649" class="reactive tooltip-trigger" /><path stroke-width="2" d="M432.198718 301.335864 L432.198718 303.173428" class="reactive tooltip-trigger" /><rect x="422.24230769230775" y="303.17342828485727" height="1.215221016169778" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="432.198717948718" cy="306.8543364327004" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="432.198717948718" cy="70.42705228154392" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 58.9320
	456	Q1-1.5IQR: 59.5430
	457	Q1: 61.2755
	458	Median: 61.8100
	459	Q3: 62.4305
	460	Q3+1.5IQR: 64.1770
	461	Max: 283.6430</desc><desc class="x centered">432.198717948718</desc><desc class="y centered">303.78713970126404</desc><desc class="x_label" /></g></g></g><g class="series serie-19 color-19"><g class="boxes"><g class="box"><path stroke-width="3" d="M449.848718 305.209843 L459.805128 305.209843" class="reactive tooltip-trigger" /><path stroke-width="3" d="M444.870513 303.121345 L464.783333 303.121345" class="reactive tooltip-trigger" /><path stroke-width="3" d="M449.848718 300.953940 L459.805128 300.953940" class="reactive tooltip-trigger" /><path stroke-width="2" d="M454.826923 305.209843 L454.826923 303.618221" class="reactive tooltip-trigger" /><path stroke-width="2" d="M454.826923 300.953940 L454.826923 302.557138" class="reactive tooltip-trigger" /><rect x="444.87051282051283" y="302.55713759931643" height="1.0610830353246001" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="454.8269230769231" cy="305.65384808240117" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="454.8269230769231" cy="197.03518861839413" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 60.0730
	462	Q1-1.5IQR: 60.4950
	463	Q1: 62.0077
	464	Median: 62.4800
	465	Q3: 63.0162
	466	Q3+1.5IQR: 64.5400
	467	Max: 163.3090</desc><desc class="x centered">454.8269230769231</desc><desc class="y centered">303.09209738567563</desc><desc class="x_label" /></g></g></g><g class="series serie-20 color-20"><g class="boxes"><g class="box"><path stroke-width="3" d="M472.476923 304.609069 L482.433333 304.609069" class="reactive tooltip-trigger" /><path stroke-width="3" d="M467.498718 303.138183 L487.411538 303.138183" class="reactive tooltip-trigger" /><path stroke-width="3" d="M472.476923 301.594691 L482.433333 301.594691" class="reactive tooltip-trigger" /><path stroke-width="2" d="M477.455128 304.609069 L477.455128 303.495909" class="reactive tooltip-trigger" /><path stroke-width="2" d="M477.455128 301.594691 L477.455128 302.739421" class="reactive tooltip-trigger" /><rect x="467.49871794871797" y="302.739421325891" height="0.7564873693564209" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="477.45512820512823" cy="304.83949031156476" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="477.45512820512823" cy="209.16845568749827" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 60.8470
	468	Q1-1.5IQR: 61.0660
	469	Q1: 62.1240
	470	Median: 62.4640
	471	Q3: 62.8430
	472	Q3+1.5IQR: 63.9310
	473	Max: 151.7770</desc><desc class="x centered">477.45512820512823</desc><desc class="y centered">303.1154545365395</desc><desc class="x_label" /></g></g></g><g class="series serie-21 color-21"><g class="boxes"><g class="box"><path stroke-width="3" d="M495.105128 302.476384 L505.061538 302.476384" class="reactive tooltip-trigger" /><path stroke-width="3" d="M490.126923 300.710895 L510.039744 300.710895" class="reactive tooltip-trigger" /><path stroke-width="3" d="M495.105128 298.868600 L505.061538 298.868600" class="reactive tooltip-trigger" /><path stroke-width="2" d="M500.083333 302.476384 L500.083333 301.135432" class="reactive tooltip-trigger" /><path stroke-width="2" d="M500.083333 298.868600 L500.083333 300.229016" class="reactive tooltip-trigger" /><rect x="490.1269230769231" y="300.22901563475665" height="0.9064168373087114" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="500.08333333333337" cy="302.734158292487" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="500.08333333333337" cy="117.16729023793886" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 62.8480
	474	Q1-1.5IQR: 63.0930
	475	Q1: 64.3675
	476	Median: 64.7710
	477	Q3: 65.2290
	478	Q3+1.5IQR: 66.5220
	479	Max: 239.2190</desc><desc class="x centered">500.08333333333337</desc><desc class="y centered">300.68406554095327</desc><desc class="x_label" /></g></g></g><g class="series serie-22 color-22"><g class="boxes"><g class="box"><path stroke-width="3" d="M517.733333 302.208092 L527.689744 302.208092" class="reactive tooltip-trigger" /><path stroke-width="3" d="M512.755128 300.832944 L532.667949 300.832944" class="reactive tooltip-trigger" /><path stroke-width="3" d="M517.733333 299.324176 L527.689744 299.324176" class="reactive tooltip-trigger" /><path stroke-width="2" d="M522.711538 302.208092 L522.711538 301.165418" class="reactive tooltip-trigger" /><path stroke-width="2" d="M522.711538 299.324176 L522.711538 300.429185" class="reactive tooltip-trigger" /><rect x="512.7551282051282" y="300.4291850626683" height="0.7362333029875003" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="522.7115384615385" cy="302.4395585623257" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="522.7115384615385" cy="-27.67863097392467" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 63.1280
	480	Q1-1.5IQR: 63.3480
	481	Q1: 64.3390
	482	Median: 64.6550
	483	Q3: 65.0388
	484	Q3+1.5IQR: 66.0890
	485	Max: 376.8870</desc><desc class="x centered">522.7115384615385</desc><desc class="y centered">300.79196308446006</desc><desc class="x_label" /></g></g></g><g class="series serie-23 color-23"><g class="boxes"><g class="box"><path stroke-width="3" d="M540.361538 300.234275 L550.317949 300.234275" class="reactive tooltip-trigger" /><path stroke-width="3" d="M535.383333 297.865910 L555.296154 297.865910" class="reactive tooltip-trigger" /><path stroke-width="3" d="M540.361538 295.472294 L550.317949 295.472294" class="reactive tooltip-trigger" /><path stroke-width="2" d="M545.339744 300.234275 L545.339744 298.455896" class="reactive tooltip-trigger" /><path stroke-width="2" d="M545.339744 295.472294 L545.339744 297.266192" class="reactive tooltip-trigger" /><rect x="535.3833333333333" y="297.2661919368937" height="1.1897039163969225" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="545.3397435897435" cy="301.0833533211601" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="545.3397435897435" cy="251.80851120295435" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 64.4170
	486	Q1-1.5IQR: 65.2240
	487	Q1: 66.9143
	488	Median: 67.4750
	489	Q3: 68.0450
	490	Q3+1.5IQR: 69.7500
	491	Max: 111.2500</desc><desc class="x centered">545.3397435897435</desc><desc class="y centered">297.8589132277872</desc><desc class="x_label" /></g></g></g><g class="series serie-24 color-24"><g class="boxes"><g class="box"><path stroke-width="3" d="M562.989744 297.604982 L572.946154 297.604982" class="reactive tooltip-trigger" /><path stroke-width="3" d="M558.011538 295.098785 L577.924359 295.098785" class="reactive tooltip-trigger" /><path stroke-width="3" d="M562.989744 292.597847 L572.946154 292.597847" class="reactive tooltip-trigger" /><path stroke-width="2" d="M567.967949 297.604982 L567.967949 295.744800" class="reactive tooltip-trigger" /><path stroke-width="2" d="M567.967949 292.597847 L567.967949 294.487490" class="reactive tooltip-trigger" /><rect x="558.0115384615385" y="294.48749019963606" height="1.257309972759117" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="567.9679487179487" cy="298.4256477649451" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="567.9679487179487" cy="266.24281092523034" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 66.9430
	492	Q1-1.5IQR: 67.7230
	493	Q1: 69.4910
	494	Median: 70.1050
	495	Q3: 70.6860
	496	Q3+1.5IQR: 72.4820
	497	Max: 97.5310</desc><desc class="x centered">567.9679487179487</desc><desc class="y centered">295.10678081421713</desc><desc class="x_label" /></g></g></g><g class="series serie-25 color-25"><g class="boxes"><g class="box"><path stroke-width="3" d="M585.617949 285.832594 L595.574359 285.832594" class="reactive tooltip-trigger" /><path stroke-width="3" d="M580.639744 283.334812 L600.552564 283.334812" class="reactive tooltip-trigger" /><path stroke-width="3" d="M585.617949 280.710779 L595.574359 280.710779" class="reactive tooltip-trigger" /><path stroke-width="2" d="M590.596154 285.832594 L590.596154 283.932429" class="reactive tooltip-trigger" /><path stroke-width="2" d="M590.596154 280.710779 L590.596154 282.649872" class="reactive tooltip-trigger" /><rect x="580.6397435897436" y="282.64987163971335" height="1.2825572224556367" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="590.5961538461538" cy="285.88099138369955" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="590.5961538461538" cy="157.19382671180955" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 78.8660
	498	Q1-1.5IQR: 78.9120
	499	Q1: 80.7180
	500	Median: 81.2860
	501	Q3: 81.9370
	502	Q3+1.5IQR: 83.7800
	503	Max: 201.1760</desc><desc class="x centered">590.5961538461538</desc><desc class="y centered">283.29209721418783</desc><desc class="x_label" /></g></g></g><g class="series serie-26 color-26"><g class="boxes"><g class="box"><path stroke-width="3" d="M608.246154 57.653027 L618.202564 57.653027" class="reactive tooltip-trigger" /><path stroke-width="3" d="M603.267949 53.035188 L623.180769 53.035188" class="reactive tooltip-trigger" /><path stroke-width="3" d="M608.246154 48.265839 L618.202564 48.265839" class="reactive tooltip-trigger" /><path stroke-width="2" d="M613.224359 57.653027 L613.224359 54.149403" class="reactive tooltip-trigger" /><path stroke-width="2" d="M613.224359 48.265839 L613.224359 51.799451" class="reactive tooltip-trigger" /><rect x="603.2679487179488" y="51.799450789854575" height="2.349952070204381" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="613.224358974359" cy="59.18915159343044" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="613.224358974359" cy="-218.04220087924796" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 294.3240
	504	Q1-1.5IQR: 295.7840
	505	Q1: 299.1140
	506	Median: 300.1730
	507	Q3: 301.3475
	508	Q3+1.5IQR: 304.7060
	509	Max: 557.8170</desc><desc class="x centered">613.224358974359</desc><desc class="y centered">52.98058151191094</desc><desc class="x_label" /></g></g></g><g class="series serie-27 color-27"><g class="boxes"><g class="box"><path stroke-width="3" d="M630.874359 50.724690 L640.830769 50.724690" class="reactive tooltip-trigger" /><path stroke-width="3" d="M625.896154 45.601821 L645.808974 45.601821" class="reactive tooltip-trigger" /><path stroke-width="3" d="M630.874359 39.336335 L640.830769 39.336335" class="reactive tooltip-trigger" /><path stroke-width="2" d="M635.852564 50.724690 L635.852564 46.765752" class="reactive tooltip-trigger" /><path stroke-width="2" d="M635.852564 39.336335 L635.852564 43.798719" class="reactive tooltip-trigger" /><rect x="625.8961538461539" y="43.798719463396424" height="2.9670322107558036" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="635.8525641025641" cy="50.72468960917058" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="635.8525641025641" cy="-311.24806893349046" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 302.3690
	510	Q1-1.5IQR: 302.3690
	511	Q1: 306.1318
	512	Median: 307.2380
	513	Q3: 308.9518
	514	Q3+1.5IQR: 313.1930
	515	Max: 646.4040</desc><desc class="x centered">635.8525641025641</desc><desc class="y centered">45.24546342422127</desc><desc class="x_label" /></g></g></g><g class="series serie-28 color-28"><g class="boxes"><g class="box"><path stroke-width="3" d="M653.502564 28.092123 L663.458974 28.092123" class="reactive tooltip-trigger" /><path stroke-width="3" d="M648.524359 22.547347 L668.437179 22.547347" class="reactive tooltip-trigger" /><path stroke-width="3" d="M653.502564 16.595395 L663.458974 16.595395" class="reactive tooltip-trigger" /><path stroke-width="2" d="M658.480769 28.092123 L658.480769 23.802024" class="reactive tooltip-trigger" /><path stroke-width="2" d="M658.480769 16.595395 L658.480769 20.930210" class="reactive tooltip-trigger" /><rect x="648.524358974359" y="20.930209672866738" height="2.8718143673259533" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="658.4807692307692" cy="28.092122563057103" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="658.4807692307692" cy="-208.7981056616361" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 323.8800
	516	Q1-1.5IQR: 323.8800
	517	Q1: 327.9575
	518	Median: 329.1500
	519	Q3: 330.6870
	520	Q3+1.5IQR: 334.8070
	521	Max: 549.0310</desc><desc class="x centered">658.4807692307692</desc><desc class="y centered">22.39341965569082</desc><desc class="x_label" /></g></g></g><g class="series serie-29 color-29"><g class="boxes"><g class="box"><path stroke-width="3" d="M676.130769 17.980010 L686.087179 17.980010" class="reactive tooltip-trigger" /><path stroke-width="3" d="M671.152564 12.853459 L691.065385 12.853459" class="reactive tooltip-trigger" /><path stroke-width="3" d="M676.130769 7.089316 L686.087179 7.089316" class="reactive tooltip-trigger" /><path stroke-width="2" d="M681.108974 17.980010 L681.108974 14.104978" class="reactive tooltip-trigger" /><path stroke-width="2" d="M681.108974 7.089316 L681.108974 11.311547" class="reactive tooltip-trigger" /><rect x="671.1525641025642" y="11.311547238638184" height="2.7934305754675393" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="681.1089743589744" cy="18.467148316404405" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="681.1089743589744" cy="-252.52291255209218" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 333.0280
	522	Q1-1.5IQR: 333.4910
	523	Q1: 337.1740
	524	Median: 338.3635
	525	Q3: 339.8290
	526	Q3+1.5IQR: 343.8420
	527	Max: 590.5890</desc><desc class="x centered">681.1089743589744</desc><desc class="y centered">12.667861950898612</desc><desc class="x_label" /></g></g></g></g><g class="titles"><text x="400.0" y="26" class="title plot_title">Speed in Microseconds (us)</text><text x="427.0" y="580.0" class="title">Trial</text><text x="0" y="252.0" class="title" transform="rotate(-90 0.000000 226.000000)">Duration</text></g><g transform="translate(74, 46)" class="plot overlay"><g class="series serie-0 color-0" /><g class="series serie-1 color-1" /><g class="series serie-2 color-2" /><g class="series serie-3 color-3" /><g class="series serie-4 color-4" /><g class="series serie-5 color-5" /><g class="series serie-6 color-6" /><g class="series serie-7 color-7" /><g class="series serie-8 color-8" /><g class="series serie-9 color-9" /><g class="series serie-10 color-10" /><g class="series serie-11 color-11" /><g class="series serie-12 color-12" /><g class="series serie-13 color-13" /><g class="series serie-14 color-14" /><g class="series serie-15 color-15" /><g class="series serie-16 color-16" /><g class="series serie-17 color-17" /><g class="series serie-18 color-18" /><g class="series serie-19 color-19" /><g class="series serie-20 color-20" /><g class="series serie-21 color-21" /><g class="series serie-22 color-22" /><g class="series serie-23 color-23" /><g class="series serie-24 color-24" /><g class="series serie-25 color-25" /><g class="series serie-26 color-26" /><g class="series serie-27 color-27" /><g class="series serie-28 color-28" /><g class="series serie-29 color-29" /></g><g transform="translate(74, 46)" class="plot text-overlay"><g class="series serie-0 color-0" /><g class="series serie-1 color-1" /><g class="series serie-2 color-2" /><g class="series serie-3 color-3" /><g class="series serie-4 color-4" /><g class="series serie-5 color-5" /><g class="series serie-6 color-6" /><g class="series serie-7 color-7" /><g class="series serie-8 color-8" /><g class="series serie-9 color-9" /><g class="series serie-10 color-10" /><g class="series serie-11 color-11" /><g class="series serie-12 color-12" /><g class="series serie-13 color-13" /><g class="series serie-14 color-14" /><g class="series serie-15 color-15" /><g class="series serie-16 color-16" /><g class="series serie-17 color-17" /><g class="series serie-18 color-18" /><g class="series serie-19 color-19" /><g class="series serie-20 color-20" /><g class="series serie-21 color-21" /><g class="series serie-22 color-22" /><g class="series serie-23 color-23" /><g class="series serie-24 color-24" /><g class="series serie-25 color-25" /><g class="series serie-26 color-26" /><g class="series serie-27 color-27" /><g class="series serie-28 color-28" /><g class="series serie-29 color-29" /></g><g transform="translate(74, 46)" class="plot tooltip-overlay"><g transform="translate(0 0)" style="opacity: 0" class="tooltip"><rect rx="0" ry="0" width="0" height="0" class="tooltip-box" /><g class="text" /></g></g></g></svg>⏎

+528

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images/jsonpickle-1.5.1.svg less more

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	116	for (_k = 0, _len2 = _ref3.length; _k < _len2; _k++) {
	117	re = _ref3[_k];
	118	_results.push(re.classList.remove('active'));
	119	}
	120	return _results;
	121	};
	122	})(num));
	123	el.addEventListener('click', (function(el, num) {
	124	return function() {
	125	var ov, re, rect, show, _k, _l, _len2, _len3, _ref3, _ref4, _results;
	126	rect = $('rect', el).one();
	127	show = rect.style.fill !== '';
	128	rect.style.fill = show ? '' : 'transparent';
	129	_ref3 = $('.serie-' + num + ' .reactive', ctx);
	130	for (_k = 0, _len2 = _ref3.length; _k < _len2; _k++) {
	131	re = _ref3[_k];
	132	re.style.display = show ? '' : 'none';
	133	}
	134	_ref4 = $('.text-overlay .serie-' + num, ctx);
	135	_results = [];
	136	for (_l = 0, _len3 = _ref4.length; _l < _len3; _l++) {
	137	ov = _ref4[_l];
	138	_results.push(ov.style.display = show ? '' : 'none');
	139	}
	140	return _results;
	141	};
	142	})(el, num));
	143	}
	144	_ref3 = $('.tooltip-trigger', ctx);
	145	for (_k = 0, _len2 = _ref3.length; _k < _len2; _k++) {
	146	el = _ref3[_k];
	147	el.addEventListener('mouseenter', (function(el) {
	148	return function() {
	149	return tooltip_el = tooltip(el);
	150	};
	151	})(el));
	152	}
	153	tt.addEventListener('mouseenter', function() {
	154	return tooltip_el != null ? tooltip_el.classList.add('active') : void 0;
	155	});
	156	tt.addEventListener('mouseleave', function() {
	157	return tooltip_el != null ? tooltip_el.classList.remove('active') : void 0;
	158	});
	159	ctx.addEventListener('mouseleave', function() {
	160	if (tooltip_timeout) {
	161	clearTimeout(tooltip_timeout);
	162	}
	163	return untooltip(0);
	164	});
	165	graph.addEventListener('mousemove', function(el) {
	166	if (tooltip_timeout) {
	167	return;
	168	}
	169	if (!matches(el.target, '.background')) {
	170	return;
	171	}
	172	return untooltip(1000);
	173	});
	174	tooltip = function(el) {
	175	var a, baseline, cls, current_x, current_y, dy, h, i, key, keys, label, legend, name, plot_x, plot_y, rect, serie_index, subval, text, text_group, texts, traversal, value, w, x, x_elt, x_label, xlink, y, y_elt, _l, _len3, _len4, _len5, _m, _n, _ref4, _ref5, _ref6, _ref7, _ref8;
	176	clearTimeout(tooltip_timeout);
	177	tooltip_timeout = null;
	178	tt.style.opacity = 1;
	179	tt.style.display = '';
	180	text_group = $('g.text', tt).one();
	181	rect = $('rect', tt).one();
	182	text_group.innerHTML = '';
	183	label = sibl(el, '.label').one().textContent;
	184	x_label = sibl(el, '.x_label').one().textContent;
	185	value = sibl(el, '.value').one().textContent;
	186	xlink = sibl(el, '.xlink').one().textContent;
	187	serie_index = null;
	188	parent = el;
	189	traversal = [];
	190	while (parent) {
	191	traversal.push(parent);
	192	if (parent.classList.contains('series')) {
	193	break;
	194	}
	195	parent = parent.parentElement;
	196	}
	197	if (parent) {
	198	_ref4 = parent.classList;
	199	for (_l = 0, _len3 = _ref4.length; _l < _len3; _l++) {
	200	cls = _ref4[_l];
	201	if (cls.indexOf('serie-') === 0) {
	202	serie_index = +cls.replace('serie-', '');
	203	break;
	204	}
	205	}
	206	}
	207	legend = null;
	208	if (serie_index !== null) {
	209	legend = config.legends[serie_index];
	210	}
	211	dy = 0;
	212	keys = [[label, 'label']];
	213	_ref5 = value.split('\n');
	214	for (i = _m = 0, _len4 = _ref5.length; _m < _len4; i = ++_m) {
	215	subval = _ref5[i];
	216	keys.push([subval, 'value-' + i]);
	217	}
	218	if (config.tooltip_fancy_mode) {
	219	keys.push([xlink, 'xlink']);
	220	keys.unshift([x_label, 'x_label']);
	221	keys.unshift([legend, 'legend']);
	222	}
	223	texts = {};
	224	for (_n = 0, _len5 = keys.length; _n < _len5; _n++) {
	225	_ref6 = keys[_n], key = _ref6[0], name = _ref6[1];
	226	if (key) {
	227	text = document.createElementNS(svg_ns, 'text');
	228	text.textContent = key;
	229	text.setAttribute('x', padding);
	230	text.setAttribute('dy', dy);
	231	text.classList.add(name.indexOf('value') === 0 ? 'value' : name);
	232	if (name.indexOf('value') === 0 && config.tooltip_fancy_mode) {
	233	text.classList.add('color-' + serie_index);
	234	}
	235	if (name === 'xlink') {
	236	a = document.createElementNS(svg_ns, 'a');
	237	a.setAttributeNS(xlink_ns, 'href', key);
	238	a.textContent = void 0;
	239	a.appendChild(text);
	240	text.textContent = 'Link >';
	241	text_group.appendChild(a);
	242	} else {
	243	text_group.appendChild(text);
	244	}
	245	dy += text.getBBox().height + padding / 2;
	246	baseline = padding;
	247	if (text.style.dominantBaseline !== void 0) {
	248	text.style.dominantBaseline = 'text-before-edge';
	249	} else {
	250	baseline += text.getBBox().height * .8;
	251	}
	252	text.setAttribute('y', baseline);
	253	texts[name] = text;
	254	}
	255	}
	256	w = text_group.getBBox().width + 2 * padding;
	257	h = text_group.getBBox().height + 2 * padding;
	258	rect.setAttribute('width', w);
	259	rect.setAttribute('height', h);
	260	if (texts.value) {
	261	texts.value.setAttribute('dx', (w - texts.value.getBBox().width) / 2 - padding);
	262	}
	263	if (texts.x_label) {
	264	texts.x_label.setAttribute('dx', w - texts.x_label.getBBox().width - 2 * padding);
	265	}
	266	if (texts.xlink) {
	267	texts.xlink.setAttribute('dx', w - texts.xlink.getBBox().width - 2 * padding);
	268	}
	269	x_elt = sibl(el, '.x').one();
	270	y_elt = sibl(el, '.y').one();
	271	x = parseInt(x_elt.textContent);
	272	if (x_elt.classList.contains('centered')) {
	273	x -= w / 2;
	274	} else if (x_elt.classList.contains('left')) {
	275	x -= w;
	276	} else if (x_elt.classList.contains('auto')) {
	277	x = xconvert(el.getBBox().x + el.getBBox().width / 2) - w / 2;
	278	}
	279	y = parseInt(y_elt.textContent);
	280	if (y_elt.classList.contains('centered')) {
	281	y -= h / 2;
	282	} else if (y_elt.classList.contains('top')) {
	283	y -= h;
	284	} else if (y_elt.classList.contains('auto')) {
	285	y = yconvert(el.getBBox().y + el.getBBox().height / 2) - h / 2;
	286	}
	287	_ref7 = get_translation(tt.parentElement), plot_x = _ref7[0], plot_y = _ref7[1];
	288	if (x + w + plot_x > config.width) {
	289	x = config.width - w - plot_x;
	290	}
	291	if (y + h + plot_y > config.height) {
	292	y = config.height - h - plot_y;
	293	}
	294	if (x + plot_x < 0) {
	295	x = -plot_x;
	296	}
	297	if (y + plot_y < 0) {
	298	y = -plot_y;
	299	}
	300	_ref8 = get_translation(tt), current_x = _ref8[0], current_y = _ref8[1];
	301	if (current_x === x && current_y === y) {
	302	return el;
	303	}
	304	tt.setAttribute('transform', "translate(" + x + " " + y + ")");
	305	return el;
	306	};
	307	return untooltip = function(ms) {
	308	return tooltip_timeout = setTimeout(function() {
	309	tt.style.display = 'none';
	310	tt.style.opacity = 0;
	311	if (tooltip_el != null) {
	312	tooltip_el.classList.remove('active');
	313	}
	314	return tooltip_timeout = null;
	315	}, ms);
	316	};
	317	};
	318
	319	init_svg = function() {
	320	var chart, charts, _i, _len, _results;
	321	charts = $('.pygal-chart');
	322	if (charts.length) {
	323	_results = [];
	324	for (_i = 0, _len = charts.length; _i < _len; _i++) {
	325	chart = charts[_i];
	326	_results.push(init(chart));
	327	}
	328	return _results;
	329	}
	330	};
	331
	332	if (document.readyState !== 'loading') {
	333	init_svg();
	334	} else {
	335	document.addEventListener('DOMContentLoaded', function() {
	336	return init_svg();
	337	});
	338	}
	339
	340	window.pygal = window.pygal \|\| {};
	341
	342	window.pygal.init = init;
	343
	344	window.pygal.init_svg = init_svg;
	345
	346	}).call(this);
	347	</script></defs><title>Speed in Microseconds (us)</title><g class="graph custombox-graph vertical"><rect x="0" y="0" width="800" height="600" class="background" /><g transform="translate(74, 46)" class="plot"><rect x="0" y="0" width="706.0" height="360.0" class="background" /><g class="axis y always_show"><path d="M0.000000 360.000000 h706.000000" class="line" /><g class="guides"><path d="M0.000000 348.166939 h706.000000" class="guide line" /><text x="-5" y="351.66693944353517" class="">16</text><title>16</title></g><g class="guides"><path d="M0.000000 328.527005 h706.000000" class="guide line" /><text x="-5" y="332.02700490998365" class="">24</text><title>24</title></g><g class="guides"><path d="M0.000000 308.887070 h706.000000" class="guide line" /><text x="-5" y="312.38707037643206" class="">32</text><title>32</title></g><g class="guides"><path d="M0.000000 289.247136 h706.000000" class="guide line" /><text x="-5" y="292.74713584288054" class="">40</text><title>40</title></g><g class="guides"><path d="M0.000000 269.607201 h706.000000" class="guide line" /><text x="-5" y="273.10720130932896" class="">48</text><title>48</title></g><g class="guides"><path d="M0.000000 249.967267 h706.000000" class="guide line" /><text x="-5" y="253.4672667757774" class="">56</text><title>56</title></g><g class="guides"><path d="M0.000000 230.327332 h706.000000" class="guide line" /><text x="-5" y="233.82733224222585" class="">64</text><title>64</title></g><g class="guides"><path d="M0.000000 210.687398 h706.000000" class="guide line" /><text x="-5" y="214.1873977086743" class="">72</text><title>72</title></g><g class="guides"><path d="M0.000000 191.047463 h706.000000" class="guide line" /><text x="-5" y="194.54746317512274" class="">80</text><title>80</title></g><g class="guides"><path d="M0.000000 171.407529 h706.000000" class="guide line" /><text x="-5" y="174.9075286415712" class="">88</text><title>88</title></g><g class="guides"><path d="M0.000000 151.767594 h706.000000" class="guide line" /><text x="-5" y="155.26759410801964" class="">96</text><title>96</title></g><g class="guides"><path d="M0.000000 132.127660 h706.000000" class="guide line" /><text x="-5" y="135.62765957446808" class="">104</text><title>104</title></g><g class="guides"><path d="M0.000000 112.487725 h706.000000" class="guide line" /><text x="-5" y="115.98772504091653" class="">112</text><title>112</title></g><g class="guides"><path d="M0.000000 92.847791 h706.000000" class="guide line" /><text x="-5" y="96.34779050736495" class="">120</text><title>120</title></g><g class="guides"><path d="M0.000000 73.207856 h706.000000" class="guide line" /><text x="-5" y="76.70785597381342" class="">128</text><title>128</title></g><g class="guides"><path d="M0.000000 53.567921 h706.000000" class="guide line" /><text x="-5" y="57.06792144026184" class="">136</text><title>136</title></g><g class="guides"><path d="M0.000000 33.927987 h706.000000" class="guide line" /><text x="-5" y="37.427986906710316" class="">144</text><title>144</title></g><g class="guides"><path d="M0.000000 14.288052 h706.000000" class="guide line" /><text x="-5" y="17.788052373158735" class="">152</text><title>152</title></g></g><g class="axis x"><path d="M0.000000 0.000000 v360.000000" class="line" /><g class="guides"><path d="M24.891026 0.000000 v360.000000" class="guide line" /><text x="24.89102564102564" y="375.0" class="backwards" transform="rotate(270 24.891026 375.000000)">simple_list_e</text></g><g class="guides"><path d="M47.519231 0.000000 v360.000000" class="guide line" /><text x="47.51923076923077" y="375.0" class="backwards" transform="rotate(270 47.519231 375.000000)">simple_tuple_e</text></g><g class="guides"><path d="M70.147436 0.000000 v360.000000" class="guide line" /><text x="70.1474358974359" y="375.0" class="backwards" transform="rotate(270 70.147436 375.000000)">simple_set_e</text></g><g class="guides"><path d="M92.775641 0.000000 v360.000000" class="guide line" /><text x="92.77564102564102" y="375.0" class="backwards" transform="rotate(270 92.775641 375.000000)">simple_tuple_d</text></g><g class="guides"><path d="M115.403846 0.000000 v360.000000" class="guide line" /><text x="115.40384615384615" y="375.0" class="backwards" transform="rotate(270 115.403846 375.000000)">simple_set_d</text></g><g class="guides"><path d="M138.032051 0.000000 v360.000000" class="guide line" /><text x="138.03205128205127" y="375.0" class="backwards" transform="rotate(270 138.032051 375.000000)">simple_dict_d</text></g><g class="guides"><path d="M160.660256 0.000000 v360.000000" class="guide line" /><text x="160.6602564102564" y="375.0" class="backwards" transform="rotate(270 160.660256 375.000000)">simple_dict_e</text></g><g class="guides"><path d="M183.288462 0.000000 v360.000000" class="guide line" /><text x="183.28846153846155" y="375.0" class="backwards" transform="rotate(270 183.288462 375.000000)">simple_list_d</text></g><g class="guides"><path d="M205.916667 0.000000 v360.000000" class="guide line" /><text x="205.91666666666666" y="375.0" class="backwards" transform="rotate(270 205.916667 375.000000)">complex_homog_list_e</text></g><g class="guides"><path d="M228.544872 0.000000 v360.000000" class="guide line" /><text x="228.5448717948718" y="375.0" class="backwards" transform="rotate(270 228.544872 375.000000)">complex_homog_tuple_d</text></g><g class="guides"><path d="M251.173077 0.000000 v360.000000" class="guide line" /><text x="251.17307692307688" y="375.0" class="backwards" transform="rotate(270 251.173077 375.000000)">complex_homog_set_d</text></g><g class="guides"><path d="M273.801282 0.000000 v360.000000" class="guide line" /><text x="273.8012820512821" y="375.0" class="backwards" transform="rotate(270 273.801282 375.000000)">complex_homog_tuple_e</text></g><g class="guides"><path d="M296.429487 0.000000 v360.000000" class="guide line" /><text x="296.4294871794872" y="375.0" class="backwards" transform="rotate(270 296.429487 375.000000)">complex_homog_set_e</text></g><g class="guides"><path d="M319.057692 0.000000 v360.000000" class="guide line" /><text x="319.05769230769226" y="375.0" class="backwards" transform="rotate(270 319.057692 375.000000)">complex_heterog_set_d</text></g><g class="guides"><path d="M341.685897 0.000000 v360.000000" class="guide line" /><text x="341.6858974358974" y="375.0" class="backwards" transform="rotate(270 341.685897 375.000000)">complex_homog_dict_d</text></g><g class="guides"><path d="M364.314103 0.000000 v360.000000" class="guide line" /><text x="364.3141025641026" y="375.0" class="backwards" transform="rotate(270 364.314103 375.000000)">complex_heterog_set_e</text></g><g class="guides"><path d="M386.942308 0.000000 v360.000000" class="guide line" /><text x="386.9423076923077" y="375.0" class="backwards" transform="rotate(270 386.942308 375.000000)">complex_homog_list_d</text></g><g class="guides"><path d="M409.570513 0.000000 v360.000000" class="guide line" /><text x="409.5705128205129" y="375.0" class="backwards" transform="rotate(270 409.570513 375.000000)">complex_heterog_tuple_d</text></g><g class="guides"><path d="M432.198718 0.000000 v360.000000" class="guide line" /><text x="432.19871794871796" y="375.0" class="backwards" transform="rotate(270 432.198718 375.000000)">complex_heterog_dict_d</text></g><g class="guides"><path d="M454.826923 0.000000 v360.000000" class="guide line" /><text x="454.8269230769231" y="375.0" class="backwards" transform="rotate(270 454.826923 375.000000)">complex_heterog_list_e</text></g><g class="guides"><path d="M477.455128 0.000000 v360.000000" class="guide line" /><text x="477.4551282051282" y="375.0" class="backwards" transform="rotate(270 477.455128 375.000000)">complex_heterog_tuple_e</text></g><g class="guides"><path d="M500.083333 0.000000 v360.000000" class="guide line" /><text x="500.08333333333337" y="375.0" class="backwards" transform="rotate(270 500.083333 375.000000)">complex_heterog_list_d</text></g><g class="guides"><path d="M522.711538 0.000000 v360.000000" class="guide line" /><text x="522.7115384615385" y="375.0" class="backwards" transform="rotate(270 522.711538 375.000000)">complex_homog_dict_e</text></g><g class="guides"><path d="M545.339744 0.000000 v360.000000" class="guide line" /><text x="545.3397435897435" y="375.0" class="backwards" transform="rotate(270 545.339744 375.000000)">simple_cls_d</text></g><g class="guides"><path d="M567.967949 0.000000 v360.000000" class="guide line" /><text x="567.9679487179487" y="375.0" class="backwards" transform="rotate(270 567.967949 375.000000)">complex_heterog_dict_e</text></g><g class="guides"><path d="M590.596154 0.000000 v360.000000" class="guide line" /><text x="590.5961538461538" y="375.0" class="backwards" transform="rotate(270 590.596154 375.000000)">simple_cls_e</text></g><g class="guides"><path d="M613.224359 0.000000 v360.000000" class="guide line" /><text x="613.224358974359" y="375.0" class="backwards" transform="rotate(270 613.224359 375.000000)">complex_cls_e</text></g><g class="guides"><path d="M635.852564 0.000000 v360.000000" class="guide line" /><text x="635.8525641025641" y="375.0" class="backwards" transform="rotate(270 635.852564 375.000000)">complex_cls_d</text></g><g class="guides"><path d="M658.480769 0.000000 v360.000000" class="guide line" /><text x="658.4807692307692" y="375.0" class="backwards" transform="rotate(270 658.480769 375.000000)">state_cls_d</text></g><g class="guides"><path d="M681.108974 0.000000 v360.000000" class="guide line" /><text x="681.1089743589743" y="375.0" class="backwards" transform="rotate(270 681.108974 375.000000)">state_cls_e</text></g></g><g class="series serie-0 color-0"><g class="boxes"><g class="box"><path stroke-width="3" d="M19.912821 350.747134 L29.869231 350.747134" class="reactive tooltip-trigger" /><path stroke-width="3" d="M14.934615 349.455807 L34.847436 349.455807" class="reactive tooltip-trigger" /><path stroke-width="3" d="M19.912821 348.135024 L29.869231 348.135024" class="reactive tooltip-trigger" /><path stroke-width="2" d="M24.891026 350.747134 L24.891026 349.770051" class="reactive tooltip-trigger" /><path stroke-width="2" d="M24.891026 348.135024 L24.891026 349.117019" class="reactive tooltip-trigger" /><rect x="14.934615384615384" y="349.117019143079" height="0.6530320812199761" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="24.891025641025642" cy="351.0932901001089" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="24.891025641025642" cy="320.4918180879605" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 14.8080
	348	Q1-1.5IQR: 14.9490
	349	Q1: 15.3470
	350	Median: 15.4750
	351	Q3: 15.6130
	352	Q3+1.5IQR: 16.0130
	353	Max: 27.2730</desc><desc class="x centered">24.891025641025642</desc><desc class="y centered">349.44500704680047</desc><desc class="x_label" /></g></g></g><g class="series serie-1 color-1"><g class="boxes"><g class="box"><path stroke-width="3" d="M42.541026 349.725860 L52.497436 349.725860" class="reactive tooltip-trigger" /><path stroke-width="3" d="M37.562821 348.088385 L57.475641 348.088385" class="reactive tooltip-trigger" /><path stroke-width="3" d="M42.541026 346.360062 L52.497436 346.360062" class="reactive tooltip-trigger" /><path stroke-width="2" d="M47.519231 349.725860 L47.519231 348.498363" class="reactive tooltip-trigger" /><path stroke-width="2" d="M47.519231 346.360062 L47.519231 347.644031" class="reactive tooltip-trigger" /><rect x="37.562820512820515" y="347.6440306993677" height="0.854332582855875" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="47.519230769230774" cy="349.94435268354414" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="47.519230769230774" cy="297.78314056144734" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 15.2760
	354	Q1-1.5IQR: 15.3650
	355	Q1: 15.8650
	356	Median: 16.0320
	357	Q3: 16.2130
	358	Q3+1.5IQR: 16.7360
	359	Max: 36.5230</desc><desc class="x centered">47.519230769230774</desc><desc class="y centered">348.06334020694146</desc><desc class="x_label" /></g></g></g><g class="series serie-2 color-2"><g class="boxes"><g class="box"><path stroke-width="3" d="M65.169231 349.534375 L75.125641 349.534375" class="reactive tooltip-trigger" /><path stroke-width="3" d="M60.191026 348.112928 L80.103846 348.112928" class="reactive tooltip-trigger" /><path stroke-width="3" d="M65.169231 346.657114 L75.125641 346.657114" class="reactive tooltip-trigger" /><path stroke-width="2" d="M70.147436 349.534375 L70.147436 348.456628" class="reactive tooltip-trigger" /><path stroke-width="2" d="M70.147436 346.657114 L70.147436 347.737317" class="reactive tooltip-trigger" /><rect x="60.19102564102564" y="347.73731716902415" height="0.719310577277497" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="70.1474358974359" cy="349.77987555331975" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="70.1474358974359" cy="299.06464390133533" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 15.3430
	360	Q1-1.5IQR: 15.4430
	361	Q1: 15.8820
	362	Median: 16.0220
	363	Q3: 16.1750
	364	Q3+1.5IQR: 16.6150
	365	Max: 36.0010</desc><desc class="x centered">70.1474358974359</desc><desc class="y centered">348.099672361902</desc><desc class="x_label" /></g></g></g><g class="series serie-3 color-3"><g class="boxes"><g class="box"><path stroke-width="3" d="M87.797436 346.318327 L97.753846 346.318327" class="reactive tooltip-trigger" /><path stroke-width="3" d="M82.819231 345.380523 L102.732051 345.380523" class="reactive tooltip-trigger" /><path stroke-width="3" d="M87.797436 344.415712 L97.753846 344.415712" class="reactive tooltip-trigger" /><path stroke-width="2" d="M92.775641 346.318327 L92.775641 345.605764" class="reactive tooltip-trigger" /><path stroke-width="2" d="M92.775641 344.415712 L92.775641 345.130110" class="reactive tooltip-trigger" /><rect x="82.81923076923077" y="345.1301099398629" height="0.4756538207496419" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="92.77564102564102" cy="346.68413123557934" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="92.77564102564102" cy="268.3158694723325" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 16.6040
	366	Q1-1.5IQR: 16.7530
	367	Q1: 17.0433
	368	Median: 17.1350
	369	Q3: 17.2370
	370	Q3+1.5IQR: 17.5280
	371	Max: 48.5260</desc><desc class="x centered">92.77564102564102</desc><desc class="y centered">345.37008703861204</desc><desc class="x_label" /></g></g></g><g class="series serie-4 color-4"><g class="boxes"><g class="box"><path stroke-width="3" d="M110.425641 345.027008 L120.382051 345.027008" class="reactive tooltip-trigger" /><path stroke-width="3" d="M105.447436 344.074468 L125.360256 344.074468" class="reactive tooltip-trigger" /><path stroke-width="3" d="M110.425641 343.112112 L120.382051 343.112112" class="reactive tooltip-trigger" /><path stroke-width="2" d="M115.403846 345.027008 L115.403846 344.310145" class="reactive tooltip-trigger" /><path stroke-width="2" d="M115.403846 343.112112 L115.403846 343.831423" class="reactive tooltip-trigger" /><rect x="105.4474358974359" y="343.83142295539676" height="0.47872169076657656" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="115.40384615384615" cy="345.4075311289936" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="115.40384615384615" cy="297.24058752567026" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 17.1240
	372	Q1-1.5IQR: 17.2790
	373	Q1: 17.5710
	374	Median: 17.6670
	375	Q3: 17.7660
	376	Q3+1.5IQR: 18.0590
	377	Max: 36.7440</desc><desc class="x centered">115.40384615384615</desc><desc class="y centered">344.0710311952472</desc><desc class="x_label" /></g></g></g><g class="series serie-5 color-5"><g class="boxes"><g class="box"><path stroke-width="3" d="M133.053846 344.992632 L143.010256 344.992632" class="reactive tooltip-trigger" /><path stroke-width="3" d="M128.075641 343.733224 L147.988462 343.733224" class="reactive tooltip-trigger" /><path stroke-width="3" d="M133.053846 342.306866 L143.010256 342.306866" class="reactive tooltip-trigger" /><path stroke-width="2" d="M138.032051 344.992632 L138.032051 344.037645" class="reactive tooltip-trigger" /><path stroke-width="2" d="M138.032051 342.306866 L138.032051 343.347789" class="reactive tooltip-trigger" /><rect x="128.07564102564103" y="343.34778910011977" height="0.6898554526315479" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="138.0320512820513" cy="345.20622169614944" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="138.0320512820513" cy="294.44681628840425" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 17.2060
	378	Q1-1.5IQR: 17.2930
	379	Q1: 17.6820
	380	Median: 17.8060
	381	Q3: 17.9630
	382	Q3+1.5IQR: 18.3870
	383	Max: 37.8820</desc><desc class="x centered">138.0320512820513</desc><desc class="y centered">343.683631108333</desc><desc class="x_label" /></g></g></g><g class="series serie-6 color-6"><g class="boxes"><g class="box"><path stroke-width="3" d="M155.682051 345.044192 L165.638462 345.044192" class="reactive tooltip-trigger" /><path stroke-width="3" d="M150.703846 343.117025 L170.616667 343.117025" class="reactive tooltip-trigger" /><path stroke-width="3" d="M155.682051 340.504914 L165.638462 340.504914" class="reactive tooltip-trigger" /><path stroke-width="2" d="M160.660256 345.044192 L160.660256 343.600654" class="reactive tooltip-trigger" /><path stroke-width="2" d="M160.660256 340.504914 L160.660256 342.363338" class="reactive tooltip-trigger" /><rect x="150.70384615384614" y="342.36333774498763" height="1.2373161873149456" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="160.6602564102564" cy="345.044191716972" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="160.6602564102564" cy="286.56382826937335" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 17.2720
	384	Q1-1.5IQR: 17.2720
	385	Q1: 17.8600
	386	Median: 18.0570
	387	Q3: 18.3640
	388	Q3+1.5IQR: 19.1210
	389	Max: 41.0930</desc><desc class="x centered">160.6602564102564</desc><desc class="y centered">342.92602440341165</desc><desc class="x_label" /></g></g></g><g class="series serie-7 color-7"><g class="boxes"><g class="box"><path stroke-width="3" d="M178.310256 340.900156 L188.266667 340.900156" class="reactive tooltip-trigger" /><path stroke-width="3" d="M173.332051 339.584285 L193.244872 339.584285" class="reactive tooltip-trigger" /><path stroke-width="3" d="M178.310256 338.202127 L188.266667 338.202127" class="reactive tooltip-trigger" /><path stroke-width="2" d="M183.288462 340.900156 L183.288462 339.891161" class="reactive tooltip-trigger" /><path stroke-width="2" d="M183.288462 338.202127 L183.288462 339.216034" class="reactive tooltip-trigger" /><rect x="173.33205128205125" y="339.21603356230446" height="0.6751278903085449" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="183.28846153846152" cy="341.1505689834124" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="183.28846153846152" cy="286.01636306908586" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 18.8580
	390	Q1-1.5IQR: 18.9600
	391	Q1: 19.3710
	392	Median: 19.4960
	393	Q3: 19.6460
	394	Q3+1.5IQR: 20.0590
	395	Max: 41.3160</desc><desc class="x centered">183.28846153846152</desc><desc class="y centered">339.55875260083224</desc><desc class="x_label" /></g></g></g><g class="series serie-8 color-8"><g class="boxes"><g class="box"><path stroke-width="3" d="M200.938462 302.717678 L210.894872 302.717678" class="reactive tooltip-trigger" /><path stroke-width="3" d="M195.960256 298.225039 L215.873077 298.225039" class="reactive tooltip-trigger" /><path stroke-width="3" d="M200.938462 293.526187 L210.894872 293.526187" class="reactive tooltip-trigger" /><path stroke-width="2" d="M205.916667 302.717678 L205.916667 299.415712" class="reactive tooltip-trigger" /><path stroke-width="2" d="M205.916667 293.526187 L205.916667 297.071198" class="reactive tooltip-trigger" /><rect x="195.9602564102564" y="297.07119823093547" height="2.3445136023536293" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="205.91666666666666" cy="303.058921351317" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="205.91666666666666" cy="208.63257052338759" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 34.3740
	396	Q1-1.5IQR: 34.5130
	397	Q1: 35.8580
	398	Median: 36.3430
	399	Q3: 36.8130
	400	Q3+1.5IQR: 38.2570
	401	Max: 72.8370</desc><desc class="x centered">205.91666666666666</desc><desc class="y centered">298.1911628080971</desc><desc class="x_label" /></g></g></g><g class="series serie-9 color-9"><g class="boxes"><g class="box"><path stroke-width="3" d="M223.566667 299.835514 L233.523077 299.835514" class="reactive tooltip-trigger" /><path stroke-width="3" d="M218.588462 297.463993 L238.501282 297.463993" class="reactive tooltip-trigger" /><path stroke-width="3" d="M223.566667 294.807691 L233.523077 294.807691" class="reactive tooltip-trigger" /><path stroke-width="2" d="M228.544872 299.835514 L228.544872 297.974635" class="reactive tooltip-trigger" /><path stroke-width="2" d="M228.544872 294.807691 L228.544872 296.707859" class="reactive tooltip-trigger" /><rect x="218.58846153846153" y="296.70785881891396" height="1.2667757775649875" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="228.5448717948718" cy="300.0687349833008" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="228.5448717948718" cy="204.50572715008266" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 35.5920
	402	Q1-1.5IQR: 35.6870
	403	Q1: 36.4450
	404	Median: 36.6530
	405	Q3: 36.9610
	406	Q3+1.5IQR: 37.7350
	407	Max: 74.5180</desc><desc class="x centered">228.5448717948718</desc><desc class="y centered">297.35793824270274</desc><desc class="x_label" /></g></g></g><g class="series serie-10 color-10"><g class="boxes"><g class="box"><path stroke-width="3" d="M246.194872 298.566291 L256.151282 298.566291" class="reactive tooltip-trigger" /><path stroke-width="3" d="M241.216667 296.091659 L261.129487 296.091659" class="reactive tooltip-trigger" /><path stroke-width="3" d="M246.194872 293.364157 L256.151282 293.364157" class="reactive tooltip-trigger" /><path stroke-width="2" d="M251.173077 298.566291 L251.173077 296.653843" class="reactive tooltip-trigger" /><path stroke-width="2" d="M251.173077 293.364157 L251.173077 295.337972" class="reactive tooltip-trigger" /><rect x="241.21666666666664" y="295.3379722426717" height="1.3158706290442979" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="251.1730769230769" cy="298.8387825771474" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="251.1730769230769" cy="203.32487852661677" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 36.0930
	408	Q1-1.5IQR: 36.2040
	409	Q1: 36.9830
	410	Median: 37.2120
	411	Q3: 37.5190
	412	Q3+1.5IQR: 38.3230
	413	Max: 74.9990</desc><desc class="x centered">251.1730769230769</desc><desc class="y centered">296.0027845875084</desc><desc class="x_label" /></g></g></g><g class="series serie-11 color-11"><g class="boxes"><g class="box"><path stroke-width="3" d="M268.823077 297.525377 L278.779487 297.525377" class="reactive tooltip-trigger" /><path stroke-width="3" d="M263.844872 294.362113 L283.757692 294.362113" class="reactive tooltip-trigger" /><path stroke-width="3" d="M268.823077 290.884613 L278.779487 290.884613" class="reactive tooltip-trigger" /><path stroke-width="2" d="M273.801282 297.525377 L273.801282 295.140342" class="reactive tooltip-trigger" /><path stroke-width="2" d="M273.801282 290.884613 L273.801282 293.445172" class="reactive tooltip-trigger" /><rect x="263.84487179487184" y="293.4451723574857" height="1.6951701101205572" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="273.8012820512821" cy="297.5253769615665" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="273.8012820512821" cy="218.19722466573953" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 36.6280
	414	Q1-1.5IQR: 36.6280
	415	Q1: 37.5995
	416	Median: 37.9165
	417	Q3: 38.2900
	418	Q3+1.5IQR: 39.3330
	419	Max: 68.9410</desc><desc class="x centered">273.8012820512821</desc><desc class="y centered">294.2715234650488</desc><desc class="x_label" /></g></g></g><g class="series serie-12 color-12"><g class="boxes"><g class="box"><path stroke-width="3" d="M291.451282 296.371527 L301.407692 296.371527" class="reactive tooltip-trigger" /><path stroke-width="3" d="M286.473077 292.404258 L306.385897 292.404258" class="reactive tooltip-trigger" /><path stroke-width="3" d="M291.451282 288.216039 L301.407692 288.216039" class="reactive tooltip-trigger" /><path stroke-width="2" d="M296.429487 296.371527 L296.429487 293.373973" class="reactive tooltip-trigger" /><path stroke-width="2" d="M296.429487 288.216039 L296.429487 291.311784" class="reactive tooltip-trigger" /><rect x="286.473076923077" y="291.3117835857889" height="2.062189179920722" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="296.42948717948724" cy="296.7888738085027" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="296.42948717948724" cy="205.4901785052148" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 36.9280
	420	Q1-1.5IQR: 37.0980
	421	Q1: 38.3190
	422	Median: 38.7140
	423	Q3: 39.1590
	424	Q3+1.5IQR: 40.4200
	425	Max: 74.1170</desc><desc class="x centered">296.42948717948724</desc><desc class="y centered">292.33551618082936</desc><desc class="x_label" /></g></g></g><g class="series serie-13 color-13"><g class="boxes"><g class="box"><path stroke-width="3" d="M314.079487 289.276593 L324.035897 289.276593" class="reactive tooltip-trigger" /><path stroke-width="3" d="M309.101282 287.275780 L329.014103 287.275780" class="reactive tooltip-trigger" /><path stroke-width="3" d="M314.079487 285.159574 L324.035897 285.159574" class="reactive tooltip-trigger" /><path stroke-width="2" d="M319.057692 289.276593 L319.057692 287.744686" class="reactive tooltip-trigger" /><path stroke-width="2" d="M319.057692 285.159574 L319.057692 286.711131" class="reactive tooltip-trigger" /><rect x="309.1012820512821" y="286.71113068622776" height="1.0335551378196897" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="319.0576923076924" cy="289.5147351837228" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="319.0576923076924" cy="215.9484446840894" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 39.8910
	426	Q1-1.5IQR: 39.9880
	427	Q1: 40.6120
	428	Median: 40.8030
	429	Q3: 41.0330
	430	Q3+1.5IQR: 41.6650
	431	Max: 69.8570</desc><desc class="x centered">319.0576923076924</desc><desc class="y centered">287.2335527787204</desc><desc class="x_label" /></g></g></g><g class="series serie-14 color-14"><g class="boxes"><g class="box"><path stroke-width="3" d="M336.707692 288.095745 L346.664103 288.095745" class="reactive tooltip-trigger" /><path stroke-width="3" d="M331.729487 284.481990 L351.642308 284.481990" class="reactive tooltip-trigger" /><path stroke-width="3" d="M336.707692 280.716039 L346.664103 280.716039" class="reactive tooltip-trigger" /><path stroke-width="2" d="M341.685897 288.095745 L341.685897 285.385436" class="reactive tooltip-trigger" /><path stroke-width="2" d="M341.685897 280.716039 L341.685897 283.519635" class="reactive tooltip-trigger" /><rect x="331.7294871794872" y="283.51963488536745" height="1.8658008427951813" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="341.68589743589746" cy="288.2995103398923" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="341.68589743589746" cy="185.33469226066507" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 40.3860
	432	Q1-1.5IQR: 40.4690
	433	Q1: 41.5730
	434	Median: 41.9410
	435	Q3: 42.3330
	436	Q3+1.5IQR: 43.4750
	437	Max: 82.3270</desc><desc class="x centered">341.68589743589746</desc><desc class="y centered">284.43976903776297</desc><desc class="x_label" /></g></g></g><g class="series serie-15 color-15"><g class="boxes"><g class="box"><path stroke-width="3" d="M359.335897 286.917343 L369.292308 286.917343" class="reactive tooltip-trigger" /><path stroke-width="3" d="M354.357692 282.829788 L374.270513 282.829788" class="reactive tooltip-trigger" /><path stroke-width="3" d="M359.335897 278.575291 L369.292308 278.575291" class="reactive tooltip-trigger" /><path stroke-width="2" d="M364.314103 286.917343 L364.314103 283.804415" class="reactive tooltip-trigger" /><path stroke-width="2" d="M364.314103 278.575291 L364.314103 281.717063" class="reactive tooltip-trigger" /><rect x="354.35769230769233" y="281.7170625310292" height="2.0873528590262254" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="364.3141025641026" cy="287.02536631556177" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="364.3141025641026" cy="225.50573057967577" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 40.9050
	438	Q1-1.5IQR: 40.9490
	439	Q1: 42.2170
	440	Median: 42.6140
	441	Q3: 43.0672
	442	Q3+1.5IQR: 44.3470
	443	Max: 65.9640</desc><desc class="x centered">364.3141025641026</desc><desc class="y centered">282.76878017384587</desc><desc class="x_label" /></g></g></g><g class="series serie-16 color-16"><g class="boxes"><g class="box"><path stroke-width="3" d="M381.964103 279.915714 L391.920513 279.915714" class="reactive tooltip-trigger" /><path stroke-width="3" d="M376.985897 276.036828 L396.898718 276.036828" class="reactive tooltip-trigger" /><path stroke-width="3" d="M381.964103 272.010639 L391.920513 272.010639" class="reactive tooltip-trigger" /><path stroke-width="2" d="M386.942308 279.915714 L386.942308 276.957448" class="reactive tooltip-trigger" /><path stroke-width="2" d="M386.942308 272.010639 L386.942308 274.981177" class="reactive tooltip-trigger" /><rect x="376.98589743589747" y="274.9811765652778" height="1.9762709570298398" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="386.94230769230774" cy="280.13911899414717" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="386.94230769230774" cy="136.93207193534127" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 43.7100
	444	Q1-1.5IQR: 43.8010
	445	Q1: 45.0060
	446	Median: 45.3810
	447	Q3: 45.8110
	448	Q3+1.5IQR: 47.0210
	449	Max: 102.0430</desc><desc class="x centered">386.94230769230774</desc><desc class="y centered">275.9803608414578</desc><desc class="x_label" /></g></g></g><g class="series serie-17 color-17"><g class="boxes"><g class="box"><path stroke-width="3" d="M404.592308 276.336336 L414.548718 276.336336" class="reactive tooltip-trigger" /><path stroke-width="3" d="M399.614103 271.914887 L419.526923 271.914887" class="reactive tooltip-trigger" /><path stroke-width="3" d="M404.592308 267.402627 L414.548718 267.402627" class="reactive tooltip-trigger" /><path stroke-width="2" d="M409.570513 276.336336 L409.570513 272.990183" class="reactive tooltip-trigger" /><path stroke-width="2" d="M409.570513 267.402627 L409.570513 270.756139" class="reactive tooltip-trigger" /><rect x="399.6141025641026" y="270.75613902341007" height="2.234043488118971" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="409.5705128205129" cy="276.88133576602115" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="409.5705128205129" cy="144.6211098370854" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 45.0370
	450	Q1-1.5IQR: 45.2590
	451	Q1: 46.6220
	452	Median: 47.0600
	453	Q3: 47.5320
	454	Q3+1.5IQR: 48.8980
	455	Max: 98.9110</desc><desc class="x centered">409.5705128205129</desc><desc class="y centered">271.88003422530085</desc><desc class="x_label" /></g></g></g><g class="series serie-18 color-18"><g class="boxes"><g class="box"><path stroke-width="3" d="M427.220513 272.756957 L437.176923 272.756957" class="reactive tooltip-trigger" /><path stroke-width="3" d="M422.242308 267.810149 L442.155128 267.810149" class="reactive tooltip-trigger" /><path stroke-width="3" d="M427.220513 262.630111 L437.176923 262.630111" class="reactive tooltip-trigger" /><path stroke-width="2" d="M432.198718 272.756957 L432.198718 269.030277" class="reactive tooltip-trigger" /><path stroke-width="2" d="M432.198718 262.630111 L432.198718 266.472173" class="reactive tooltip-trigger" /><rect x="422.24230769230775" y="266.4721733698341" height="2.5581034464737513" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="432.198717948718" cy="273.0196331705709" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="432.198717948718" cy="173.61947463324626" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 46.6100
	456	Q1-1.5IQR: 46.7170
	457	Q1: 48.2350
	458	Median: 48.7320
	459	Q3: 49.2770
	460	Q3+1.5IQR: 50.8420
	461	Max: 87.0990</desc><desc class="x centered">432.198717948718</desc><desc class="y centered">267.7399333665428</desc><desc class="x_label" /></g></g></g><g class="series serie-19 color-19"><g class="boxes"><g class="box"><path stroke-width="3" d="M449.848718 269.450079 L459.805128 269.450079" class="reactive tooltip-trigger" /><path stroke-width="3" d="M444.870513 264.294593 L464.783333 264.294593" class="reactive tooltip-trigger" /><path stroke-width="3" d="M449.848718 258.918166 L459.805128 258.918166" class="reactive tooltip-trigger" /><path stroke-width="2" d="M454.826923 269.450079 L454.826923 265.578561" class="reactive tooltip-trigger" /><path stroke-width="2" d="M454.826923 258.918166 L454.826923 262.919803" class="reactive tooltip-trigger" /><rect x="444.87051282051283" y="262.91980317041566" height="2.658758162895765" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="454.8269230769231" cy="271.55401297362516" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="454.8269230769231" cy="177.260228069019" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 47.2070
	462	Q1-1.5IQR: 48.0640
	463	Q1: 49.6410
	464	Median: 50.1640
	465	Q3: 50.7240
	466	Q3+1.5IQR: 52.3540
	467	Max: 85.6160</desc><desc class="x centered">454.8269230769231</desc><desc class="y centered">264.2322406430276</desc><desc class="x_label" /></g></g></g><g class="series serie-20 color-20"><g class="boxes"><g class="box"><path stroke-width="3" d="M472.476923 268.075290 L482.433333 268.075290" class="reactive tooltip-trigger" /><path stroke-width="3" d="M467.498718 263.285599 L487.411538 263.285599" class="reactive tooltip-trigger" /><path stroke-width="3" d="M472.476923 258.382973 L482.433333 258.382973" class="reactive tooltip-trigger" /><path stroke-width="2" d="M477.455128 268.075290 L477.455128 264.451720" class="reactive tooltip-trigger" /><path stroke-width="2" d="M477.455128 258.382973 L477.455128 262.026182" class="reactive tooltip-trigger" /><rect x="467.49871794871797" y="262.02618220268477" height="2.4255375231504672" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="477.45512820512823" cy="269.4132559551627" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="477.45512820512823" cy="178.24713550640632" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 48.0790
	468	Q1-1.5IQR: 48.6240
	469	Q1: 50.1000
	470	Median: 50.5750
	471	Q3: 51.0880
	472	Q3+1.5IQR: 52.5720
	473	Max: 85.2140</desc><desc class="x centered">477.45512820512823</desc><desc class="y centered">263.2443525589798</desc><desc class="x_label" /></g></g></g><g class="series serie-21 color-21"><g class="boxes"><g class="box"><path stroke-width="3" d="M495.105128 267.591656 L505.061538 267.591656" class="reactive tooltip-trigger" /><path stroke-width="3" d="M490.126923 263.094105 L510.039744 263.094105" class="reactive tooltip-trigger" /><path stroke-width="3" d="M495.105128 258.486083 L505.061538 258.486083" class="reactive tooltip-trigger" /><path stroke-width="2" d="M500.083333 267.591656 L500.083333 264.191491" class="reactive tooltip-trigger" /><path stroke-width="2" d="M500.083333 258.486083 L500.083333 261.913877" class="reactive tooltip-trigger" /><rect x="490.1269230769231" y="261.91387672516487" height="2.277614387326139" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="500.08333333333337" cy="268.4091648731972" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="500.08333333333337" cy="137.7545022425042" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 48.4880
	474	Q1-1.5IQR: 48.8210
	475	Q1: 50.2060
	476	Median: 50.6530
	477	Q3: 51.1337
	478	Q3+1.5IQR: 52.5300
	479	Max: 101.7080</desc><desc class="x centered">500.08333333333337</desc><desc class="y centered">263.05544232248076</desc><desc class="x_label" /></g></g></g><g class="series serie-22 color-22"><g class="boxes"><g class="box"><path stroke-width="3" d="M517.733333 262.225036 L527.689744 262.225036" class="reactive tooltip-trigger" /><path stroke-width="3" d="M512.755128 256.227497 L532.667949 256.227497" class="reactive tooltip-trigger" /><path stroke-width="3" d="M517.733333 250.188223 L527.689744 250.188223" class="reactive tooltip-trigger" /><path stroke-width="2" d="M522.711538 262.225036 L522.711538 257.764324" class="reactive tooltip-trigger" /><path stroke-width="2" d="M522.711538 250.188223 L522.711538 254.734860" class="reactive tooltip-trigger" /><rect x="512.7551282051282" y="254.73485993332673" height="3.0294635888808443" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="522.7115384615385" cy="264.1522116588243" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="522.7115384615385" cy="172.5687358508484" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 50.2220
	480	Q1-1.5IQR: 51.0070
	481	Q1: 52.8240
	482	Median: 53.4500
	483	Q3: 54.0580
	484	Q3+1.5IQR: 55.9100
	485	Max: 87.5270</desc><desc class="x centered">522.7115384615385</desc><desc class="y centered">256.2279878049702</desc><desc class="x_label" /></g></g></g><g class="series serie-23 color-23"><g class="boxes"><g class="box"><path stroke-width="3" d="M540.361538 255.505730 L550.317949 255.505730" class="reactive tooltip-trigger" /><path stroke-width="3" d="M535.383333 249.724220 L555.296154 249.724220" class="reactive tooltip-trigger" /><path stroke-width="3" d="M540.361538 243.606378 L550.317949 243.606378" class="reactive tooltip-trigger" /><path stroke-width="2" d="M545.339744 255.505730 L545.339744 251.190470" class="reactive tooltip-trigger" /><path stroke-width="2" d="M545.339744 243.606378 L545.339744 248.166526" class="reactive tooltip-trigger" /><rect x="535.3833333333333" y="248.16652566622278" height="3.0239441022128233" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="545.3397435897435" cy="257.06218989110215" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="545.3397435897435" cy="84.9328987236301" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 53.1100
	486	Q1-1.5IQR: 53.7440
	487	Q1: 55.5017
	488	Median: 56.0990
	489	Q3: 56.7335
	490	Q3+1.5IQR: 58.5910
	491	Max: 123.2240</desc><desc class="x centered">545.3397435897435</desc><desc class="y centered">249.6386647520342</desc><desc class="x_label" /></g></g></g><g class="series serie-24 color-24"><g class="boxes"><g class="box"><path stroke-width="3" d="M562.989744 253.414077 L572.946154 253.414077" class="reactive tooltip-trigger" /><path stroke-width="3" d="M558.011538 247.477905 L577.924359 247.477905" class="reactive tooltip-trigger" /><path stroke-width="3" d="M562.989744 241.497541 L572.946154 241.497541" class="reactive tooltip-trigger" /><path stroke-width="2" d="M567.967949 253.414077 L567.967949 248.955806" class="reactive tooltip-trigger" /><path stroke-width="2" d="M567.967949 241.497541 L567.967949 245.977909" class="reactive tooltip-trigger" /><rect x="558.0115384615385" y="245.97790853581472" height="2.977897025532002" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="567.9679487179487" cy="254.99754462892616" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="567.9679487179487" cy="157.17348533399013" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 53.9510
	492	Q1-1.5IQR: 54.5960
	493	Q1: 56.4120
	494	Median: 57.0140
	495	Q3: 57.6250
	496	Q3+1.5IQR: 59.4500
	497	Max: 93.7980</desc><desc class="x centered">567.9679487179487</desc><desc class="y centered">247.46464746767185</desc><desc class="x_label" /></g></g></g><g class="series serie-25 color-25"><g class="boxes"><g class="box"><path stroke-width="3" d="M585.617949 244.288865 L595.574359 244.288865" class="reactive tooltip-trigger" /><path stroke-width="3" d="M580.639744 238.318326 L600.552564 238.318326" class="reactive tooltip-trigger" /><path stroke-width="3" d="M585.617949 231.837153 L595.574359 231.837153" class="reactive tooltip-trigger" /><path stroke-width="2" d="M590.596154 244.288865 L590.596154 239.709085" class="reactive tooltip-trigger" /><path stroke-width="2" d="M590.596154 231.837153 L590.596154 236.563013" class="reactive tooltip-trigger" /><rect x="580.6397435897436" y="236.5630128925724" height="3.146071675951447" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="590.5961538461538" cy="244.72340423831753" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="590.5961538461538" cy="167.2659649497962" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 58.1360
	498	Q1-1.5IQR: 58.3130
	499	Q1: 60.1785
	500	Median: 60.7450
	501	Q3: 61.4600
	502	Q3+1.5IQR: 63.3850
	503	Max: 89.6870</desc><desc class="x centered">590.5961538461538</desc><desc class="y centered">238.14328836791563</desc><desc class="x_label" /></g></g></g><g class="series serie-26 color-26"><g class="boxes"><g class="box"><path stroke-width="3" d="M608.246154 44.926355 L618.202564 44.926355" class="reactive tooltip-trigger" /><path stroke-width="3" d="M603.267949 37.608025 L623.180769 37.608025" class="reactive tooltip-trigger" /><path stroke-width="3" d="M608.246154 29.963179 L618.202564 29.963179" class="reactive tooltip-trigger" /><path stroke-width="2" d="M613.224359 44.926355 L613.224359 39.400170" class="reactive tooltip-trigger" /><path stroke-width="2" d="M613.224359 29.963179 L613.224359 35.629289" class="reactive tooltip-trigger" /><rect x="603.2679487179488" y="35.62928918380982" height="3.770881139257199" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="613.224358974359" cy="47.499177474848636" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="613.224358974359" cy="-121.4042506026068" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 138.4720
	504	Q1-1.5IQR: 139.5200
	505	Q1: 141.7710
	506	Median: 142.5010
	507	Q3: 143.3070
	508	Q3+1.5IQR: 145.6150
	509	Max: 207.2720</desc><desc class="x centered">613.224358974359</desc><desc class="y centered">37.505403785835256</desc><desc class="x_label" /></g></g></g><g class="series serie-27 color-27"><g class="boxes"><g class="box"><path stroke-width="3" d="M630.874359 43.858424 L640.830769 43.858424" class="reactive tooltip-trigger" /><path stroke-width="3" d="M625.896154 36.694764 L645.808974 36.694764" class="reactive tooltip-trigger" /><path stroke-width="3" d="M630.874359 29.305235 L640.830769 29.305235" class="reactive tooltip-trigger" /><path stroke-width="2" d="M635.852564 43.858424 L635.852564 38.455604" class="reactive tooltip-trigger" /><path stroke-width="2" d="M635.852564 29.305235 L635.852564 34.816699" class="reactive tooltip-trigger" /><rect x="625.8961538461539" y="34.81669883528201" height="3.638904675675235" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="635.8525641025641" cy="46.38461627864848" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="635.8525641025641" cy="-101.24631720701001" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 138.9260
	510	Q1-1.5IQR: 139.9550
	511	Q1: 142.1558
	512	Median: 142.8730
	513	Q3: 143.6380
	514	Q3+1.5IQR: 145.8830
	515	Max: 199.0610</desc><desc class="x centered">635.8525641025641</desc><desc class="y centered">36.626145094011974</desc><desc class="x_label" /></g></g></g><g class="series serie-28 color-28"><g class="boxes"><g class="box"><path stroke-width="3" d="M653.502564 29.140757 L663.458974 29.140757" class="reactive tooltip-trigger" /><path stroke-width="3" d="M648.524359 21.678804 L668.437179 21.678804" class="reactive tooltip-trigger" /><path stroke-width="3" d="M653.502564 13.990999 L663.458974 13.990999" class="reactive tooltip-trigger" /><path stroke-width="2" d="M658.480769 29.140757 L658.480769 23.540917" class="reactive tooltip-trigger" /><path stroke-width="2" d="M658.480769 13.990999 L658.480769 19.746725" class="reactive tooltip-trigger" /><rect x="648.524358974359" y="19.74672515389591" height="3.7941915926610363" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="658.4807692307692" cy="30.098200876314536" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="658.4807692307692" cy="-238.5662869306483" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 145.5600
	516	Q1-1.5IQR: 145.9500
	517	Q1: 148.2310
	518	Median: 148.9895
	519	Q3: 149.7765
	520	Q3+1.5IQR: 152.1210
	521	Max: 254.9960</desc><desc class="x centered">658.4807692307692</desc><desc class="y centered">21.619640597143814</desc><desc class="x_label" /></g></g></g><g class="series serie-29 color-29"><g class="boxes"><g class="box"><path stroke-width="3" d="M676.130769 22.576105 L686.087179 22.576105" class="reactive tooltip-trigger" /><path stroke-width="3" d="M671.152564 15.171848 L691.065385 15.171848" class="reactive tooltip-trigger" /><path stroke-width="3" d="M676.130769 7.274141 L686.087179 7.274141" class="reactive tooltip-trigger" /><path stroke-width="2" d="M681.108974 22.576105 L681.108974 17.029052" class="reactive tooltip-trigger" /><path stroke-width="2" d="M681.108974 7.274141 L681.108974 13.129298" class="reactive tooltip-trigger" /><rect x="671.1525641025642" y="13.129298268114667" height="3.8997540079894293" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="681.1089743589744" cy="23.160393689957232" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="681.1089743589744" cy="-92.4279905467427" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 148.3860
	522	Q1-1.5IQR: 148.6240
	523	Q1: 150.8835
	524	Median: 151.6400
	525	Q3: 152.4720
	526	Q3+1.5IQR: 154.8570
	527	Max: 195.4690</desc><desc class="x centered">681.1089743589744</desc><desc class="y centered">15.036088890947042</desc><desc class="x_label" /></g></g></g></g><g class="titles"><text x="400.0" y="26" class="title plot_title">Speed in Microseconds (us)</text><text x="427.0" y="580.0" class="title">Trial</text><text x="0" y="252.0" class="title" transform="rotate(-90 0.000000 226.000000)">Duration</text></g><g transform="translate(74, 46)" class="plot overlay"><g class="series serie-0 color-0" /><g class="series serie-1 color-1" /><g class="series serie-2 color-2" /><g class="series serie-3 color-3" /><g class="series serie-4 color-4" /><g class="series serie-5 color-5" /><g class="series serie-6 color-6" /><g class="series serie-7 color-7" /><g class="series serie-8 color-8" /><g class="series serie-9 color-9" /><g class="series serie-10 color-10" /><g class="series serie-11 color-11" /><g class="series serie-12 color-12" /><g class="series serie-13 color-13" /><g class="series serie-14 color-14" /><g class="series serie-15 color-15" /><g class="series serie-16 color-16" /><g class="series serie-17 color-17" /><g class="series serie-18 color-18" /><g class="series serie-19 color-19" /><g class="series serie-20 color-20" /><g class="series serie-21 color-21" /><g class="series serie-22 color-22" /><g class="series serie-23 color-23" /><g class="series serie-24 color-24" /><g class="series serie-25 color-25" /><g class="series serie-26 color-26" /><g class="series serie-27 color-27" /><g class="series serie-28 color-28" /><g class="series serie-29 color-29" /></g><g transform="translate(74, 46)" class="plot text-overlay"><g class="series serie-0 color-0" /><g class="series serie-1 color-1" /><g class="series serie-2 color-2" /><g class="series serie-3 color-3" /><g class="series serie-4 color-4" /><g class="series serie-5 color-5" /><g class="series serie-6 color-6" /><g class="series serie-7 color-7" /><g class="series serie-8 color-8" /><g class="series serie-9 color-9" /><g class="series serie-10 color-10" /><g class="series serie-11 color-11" /><g class="series serie-12 color-12" /><g class="series serie-13 color-13" /><g class="series serie-14 color-14" /><g class="series serie-15 color-15" /><g class="series serie-16 color-16" /><g class="series serie-17 color-17" /><g class="series serie-18 color-18" /><g class="series serie-19 color-19" /><g class="series serie-20 color-20" /><g class="series serie-21 color-21" /><g class="series serie-22 color-22" /><g class="series serie-23 color-23" /><g class="series serie-24 color-24" /><g class="series serie-25 color-25" /><g class="series serie-26 color-26" /><g class="series serie-27 color-27" /><g class="series serie-28 color-28" /><g class="series serie-29 color-29" /></g><g transform="translate(74, 46)" class="plot tooltip-overlay"><g transform="translate(0 0)" style="opacity: 0" class="tooltip"><rect rx="0" ry="0" width="0" height="0" class="tooltip-box" /><g class="text" /></g></g></g></svg>⏎

+528

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images/jsonpickle-1.5.2.svg less more

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	11	$ = function(sel, ctx) {
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	25	sibl = function(el, match) {
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	40	tooltip_timeout = null;
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	148	return function() {
	149	return tooltip_el = tooltip(el);
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	153	tt.addEventListener('mouseenter', function() {
	154	return tooltip_el != null ? tooltip_el.classList.add('active') : void 0;
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	178	tt.style.opacity = 1;
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	184	x_label = sibl(el, '.x_label').one().textContent;
	185	value = sibl(el, '.value').one().textContent;
	186	xlink = sibl(el, '.xlink').one().textContent;
	187	serie_index = null;
	188	parent = el;
	189	traversal = [];
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	192	if (parent.classList.contains('series')) {
	193	break;
	194	}
	195	parent = parent.parentElement;
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	203	break;
	204	}
	205	}
	206	}
	207	legend = null;
	208	if (serie_index !== null) {
	209	legend = config.legends[serie_index];
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	211	dy = 0;
	212	keys = [[label, 'label']];
	213	_ref5 = value.split('\n');
	214	for (i = _m = 0, _len4 = _ref5.length; _m < _len4; i = ++_m) {
	215	subval = _ref5[i];
	216	keys.push([subval, 'value-' + i]);
	217	}
	218	if (config.tooltip_fancy_mode) {
	219	keys.push([xlink, 'xlink']);
	220	keys.unshift([x_label, 'x_label']);
	221	keys.unshift([legend, 'legend']);
	222	}
	223	texts = {};
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	226	if (key) {
	227	text = document.createElementNS(svg_ns, 'text');
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	229	text.setAttribute('x', padding);
	230	text.setAttribute('dy', dy);
	231	text.classList.add(name.indexOf('value') === 0 ? 'value' : name);
	232	if (name.indexOf('value') === 0 && config.tooltip_fancy_mode) {
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	236	a = document.createElementNS(svg_ns, 'a');
	237	a.setAttributeNS(xlink_ns, 'href', key);
	238	a.textContent = void 0;
	239	a.appendChild(text);
	240	text.textContent = 'Link >';
	241	text_group.appendChild(a);
	242	} else {
	243	text_group.appendChild(text);
	244	}
	245	dy += text.getBBox().height + padding / 2;
	246	baseline = padding;
	247	if (text.style.dominantBaseline !== void 0) {
	248	text.style.dominantBaseline = 'text-before-edge';
	249	} else {
	250	baseline += text.getBBox().height * .8;
	251	}
	252	text.setAttribute('y', baseline);
	253	texts[name] = text;
	254	}
	255	}
	256	w = text_group.getBBox().width + 2 * padding;
	257	h = text_group.getBBox().height + 2 * padding;
	258	rect.setAttribute('width', w);
	259	rect.setAttribute('height', h);
	260	if (texts.value) {
	261	texts.value.setAttribute('dx', (w - texts.value.getBBox().width) / 2 - padding);
	262	}
	263	if (texts.x_label) {
	264	texts.x_label.setAttribute('dx', w - texts.x_label.getBBox().width - 2 * padding);
	265	}
	266	if (texts.xlink) {
	267	texts.xlink.setAttribute('dx', w - texts.xlink.getBBox().width - 2 * padding);
	268	}
	269	x_elt = sibl(el, '.x').one();
	270	y_elt = sibl(el, '.y').one();
	271	x = parseInt(x_elt.textContent);
	272	if (x_elt.classList.contains('centered')) {
	273	x -= w / 2;
	274	} else if (x_elt.classList.contains('left')) {
	275	x -= w;
	276	} else if (x_elt.classList.contains('auto')) {
	277	x = xconvert(el.getBBox().x + el.getBBox().width / 2) - w / 2;
	278	}
	279	y = parseInt(y_elt.textContent);
	280	if (y_elt.classList.contains('centered')) {
	281	y -= h / 2;
	282	} else if (y_elt.classList.contains('top')) {
	283	y -= h;
	284	} else if (y_elt.classList.contains('auto')) {
	285	y = yconvert(el.getBBox().y + el.getBBox().height / 2) - h / 2;
	286	}
	287	_ref7 = get_translation(tt.parentElement), plot_x = _ref7[0], plot_y = _ref7[1];
	288	if (x + w + plot_x > config.width) {
	289	x = config.width - w - plot_x;
	290	}
	291	if (y + h + plot_y > config.height) {
	292	y = config.height - h - plot_y;
	293	}
	294	if (x + plot_x < 0) {
	295	x = -plot_x;
	296	}
	297	if (y + plot_y < 0) {
	298	y = -plot_y;
	299	}
	300	_ref8 = get_translation(tt), current_x = _ref8[0], current_y = _ref8[1];
	301	if (current_x === x && current_y === y) {
	302	return el;
	303	}
	304	tt.setAttribute('transform', "translate(" + x + " " + y + ")");
	305	return el;
	306	};
	307	return untooltip = function(ms) {
	308	return tooltip_timeout = setTimeout(function() {
	309	tt.style.display = 'none';
	310	tt.style.opacity = 0;
	311	if (tooltip_el != null) {
	312	tooltip_el.classList.remove('active');
	313	}
	314	return tooltip_timeout = null;
	315	}, ms);
	316	};
	317	};
	318
	319	init_svg = function() {
	320	var chart, charts, _i, _len, _results;
	321	charts = $('.pygal-chart');
	322	if (charts.length) {
	323	_results = [];
	324	for (_i = 0, _len = charts.length; _i < _len; _i++) {
	325	chart = charts[_i];
	326	_results.push(init(chart));
	327	}
	328	return _results;
	329	}
	330	};
	331
	332	if (document.readyState !== 'loading') {
	333	init_svg();
	334	} else {
	335	document.addEventListener('DOMContentLoaded', function() {
	336	return init_svg();
	337	});
	338	}
	339
	340	window.pygal = window.pygal \|\| {};
	341
	342	window.pygal.init = init;
	343
	344	window.pygal.init_svg = init_svg;
	345
	346	}).call(this);
	347	</script></defs><title>Speed in Microseconds (us)</title><g class="graph custombox-graph vertical"><rect x="0" y="0" width="800" height="600" class="background" /><g transform="translate(74, 46)" class="plot"><rect x="0" y="0" width="706.0" height="360.0" class="background" /><g class="axis y always_show"><path d="M0.000000 360.000000 h706.000000" class="line" /><g class="guides"><path d="M0.000000 346.262871 h706.000000" class="guide line" /><text x="-5" y="349.76287098728045" class="">20</text><title>20</title></g><g class="guides"><path d="M0.000000 319.006663 h706.000000" class="guide line" /><text x="-5" y="322.5066626287099" class="">40</text><title>40</title></g><g class="guides"><path d="M0.000000 291.750454 h706.000000" class="guide line" /><text x="-5" y="295.2504542701393" class="">60</text><title>60</title></g><g class="guides"><path d="M0.000000 264.494246 h706.000000" class="guide line" /><text x="-5" y="267.9942459115687" class="">80</text><title>80</title></g><g class="guides"><path d="M0.000000 237.238038 h706.000000" class="major guide line" /><text x="-5" y="240.73803755299815" class="major">100</text><title>100</title></g><g class="guides"><path d="M0.000000 209.981829 h706.000000" class="guide line" /><text x="-5" y="213.4818291944276" class="">120</text><title>120</title></g><g class="guides"><path d="M0.000000 182.725621 h706.000000" class="guide line" /><text x="-5" y="186.22562083585703" class="">140</text><title>140</title></g><g class="guides"><path d="M0.000000 155.469412 h706.000000" class="guide line" /><text x="-5" y="158.96941247728645" class="">160</text><title>160</title></g><g class="guides"><path d="M0.000000 128.213204 h706.000000" class="guide line" /><text x="-5" y="131.71320411871588" class="">180</text><title>180</title></g><g class="guides"><path d="M0.000000 100.956996 h706.000000" class="major guide line" /><text x="-5" y="104.45699576014533" class="major">200</text><title>200</title></g><g class="guides"><path d="M0.000000 73.700787 h706.000000" class="guide line" /><text x="-5" y="77.20078740157476" class="">220</text><title>220</title></g><g class="guides"><path d="M0.000000 46.444579 h706.000000" class="guide line" /><text x="-5" y="49.94457904300418" class="">240</text><title>240</title></g><g class="guides"><path d="M0.000000 19.188371 h706.000000" class="guide line" /><text x="-5" y="22.688370684433607" class="">260</text><title>260</title></g></g><g class="axis x"><path d="M0.000000 0.000000 v360.000000" class="line" /><g class="guides"><path d="M24.891026 0.000000 v360.000000" class="guide line" /><text x="24.89102564102564" y="375.0" class="backwards" transform="rotate(270 24.891026 375.000000)">simple_list_e</text></g><g class="guides"><path d="M47.519231 0.000000 v360.000000" class="guide line" /><text x="47.51923076923077" y="375.0" class="backwards" transform="rotate(270 47.519231 375.000000)">simple_dict_d</text></g><g class="guides"><path d="M70.147436 0.000000 v360.000000" class="guide line" /><text x="70.1474358974359" y="375.0" class="backwards" transform="rotate(270 70.147436 375.000000)">simple_tuple_e</text></g><g class="guides"><path d="M92.775641 0.000000 v360.000000" class="guide line" /><text x="92.77564102564102" y="375.0" class="backwards" transform="rotate(270 92.775641 375.000000)">simple_set_e</text></g><g class="guides"><path d="M115.403846 0.000000 v360.000000" class="guide line" /><text x="115.40384615384615" y="375.0" class="backwards" transform="rotate(270 115.403846 375.000000)">simple_tuple_d</text></g><g class="guides"><path d="M138.032051 0.000000 v360.000000" class="guide line" /><text x="138.03205128205127" y="375.0" class="backwards" transform="rotate(270 138.032051 375.000000)">simple_dict_e</text></g><g class="guides"><path d="M160.660256 0.000000 v360.000000" class="guide line" /><text x="160.6602564102564" y="375.0" class="backwards" transform="rotate(270 160.660256 375.000000)">simple_set_d</text></g><g class="guides"><path d="M183.288462 0.000000 v360.000000" class="guide line" /><text x="183.28846153846155" y="375.0" class="backwards" transform="rotate(270 183.288462 375.000000)">simple_list_d</text></g><g class="guides"><path d="M205.916667 0.000000 v360.000000" class="guide line" /><text x="205.91666666666666" y="375.0" class="backwards" transform="rotate(270 205.916667 375.000000)">complex_homog_dict_d</text></g><g class="guides"><path d="M228.544872 0.000000 v360.000000" class="guide line" /><text x="228.5448717948718" y="375.0" class="backwards" transform="rotate(270 228.544872 375.000000)">complex_homog_tuple_d</text></g><g class="guides"><path d="M251.173077 0.000000 v360.000000" class="guide line" /><text x="251.17307692307688" y="375.0" class="backwards" transform="rotate(270 251.173077 375.000000)">complex_homog_set_d</text></g><g class="guides"><path d="M273.801282 0.000000 v360.000000" class="guide line" /><text x="273.8012820512821" y="375.0" class="backwards" transform="rotate(270 273.801282 375.000000)">complex_homog_list_e</text></g><g class="guides"><path d="M296.429487 0.000000 v360.000000" class="guide line" /><text x="296.4294871794872" y="375.0" class="backwards" transform="rotate(270 296.429487 375.000000)">complex_heterog_set_d</text></g><g class="guides"><path d="M319.057692 0.000000 v360.000000" class="guide line" /><text x="319.05769230769226" y="375.0" class="backwards" transform="rotate(270 319.057692 375.000000)">complex_homog_tuple_e</text></g><g class="guides"><path d="M341.685897 0.000000 v360.000000" class="guide line" /><text x="341.6858974358974" y="375.0" class="backwards" transform="rotate(270 341.685897 375.000000)">complex_homog_set_e</text></g><g class="guides"><path d="M364.314103 0.000000 v360.000000" class="guide line" /><text x="364.3141025641026" y="375.0" class="backwards" transform="rotate(270 364.314103 375.000000)">complex_heterog_dict_d</text></g><g class="guides"><path d="M386.942308 0.000000 v360.000000" class="guide line" /><text x="386.9423076923077" y="375.0" class="backwards" transform="rotate(270 386.942308 375.000000)">complex_homog_list_d</text></g><g class="guides"><path d="M409.570513 0.000000 v360.000000" class="guide line" /><text x="409.5705128205129" y="375.0" class="backwards" transform="rotate(270 409.570513 375.000000)">complex_heterog_tuple_d</text></g><g class="guides"><path d="M432.198718 0.000000 v360.000000" class="guide line" /><text x="432.19871794871796" y="375.0" class="backwards" transform="rotate(270 432.198718 375.000000)">complex_heterog_set_e</text></g><g class="guides"><path d="M454.826923 0.000000 v360.000000" class="guide line" /><text x="454.8269230769231" y="375.0" class="backwards" transform="rotate(270 454.826923 375.000000)">complex_heterog_list_d</text></g><g class="guides"><path d="M477.455128 0.000000 v360.000000" class="guide line" /><text x="477.4551282051282" y="375.0" class="backwards" transform="rotate(270 477.455128 375.000000)">complex_homog_dict_e</text></g><g class="guides"><path d="M500.083333 0.000000 v360.000000" class="guide line" /><text x="500.08333333333337" y="375.0" class="backwards" transform="rotate(270 500.083333 375.000000)">simple_cls_d</text></g><g class="guides"><path d="M522.711538 0.000000 v360.000000" class="guide line" /><text x="522.7115384615385" y="375.0" class="backwards" transform="rotate(270 522.711538 375.000000)">complex_heterog_list_e</text></g><g class="guides"><path d="M545.339744 0.000000 v360.000000" class="guide line" /><text x="545.3397435897435" y="375.0" class="backwards" transform="rotate(270 545.339744 375.000000)">complex_heterog_tuple_e</text></g><g class="guides"><path d="M567.967949 0.000000 v360.000000" class="guide line" /><text x="567.9679487179487" y="375.0" class="backwards" transform="rotate(270 567.967949 375.000000)">complex_heterog_dict_e</text></g><g class="guides"><path d="M590.596154 0.000000 v360.000000" class="guide line" /><text x="590.5961538461538" y="375.0" class="backwards" transform="rotate(270 590.596154 375.000000)">simple_cls_e</text></g><g class="guides"><path d="M613.224359 0.000000 v360.000000" class="guide line" /><text x="613.224358974359" y="375.0" class="backwards" transform="rotate(270 613.224359 375.000000)">complex_cls_d</text></g><g class="guides"><path d="M635.852564 0.000000 v360.000000" class="guide line" /><text x="635.8525641025641" y="375.0" class="backwards" transform="rotate(270 635.852564 375.000000)">state_cls_d</text></g><g class="guides"><path d="M658.480769 0.000000 v360.000000" class="guide line" /><text x="658.4807692307692" y="375.0" class="backwards" transform="rotate(270 658.480769 375.000000)">complex_cls_e</text></g><g class="guides"><path d="M681.108974 0.000000 v360.000000" class="guide line" /><text x="681.1089743589743" y="375.0" class="backwards" transform="rotate(270 681.108974 375.000000)">state_cls_e</text></g></g><g class="series serie-0 color-0"><g class="boxes"><g class="box"><path stroke-width="3" d="M19.912821 352.203358 L29.869231 352.203358" class="reactive tooltip-trigger" /><path stroke-width="3" d="M14.934615 351.406117 L34.847436 351.406117" class="reactive tooltip-trigger" /><path stroke-width="3" d="M19.912821 350.565266 L29.869231 350.565266" class="reactive tooltip-trigger" /><path stroke-width="2" d="M24.891026 352.203358 L24.891026 351.591457" class="reactive tooltip-trigger" /><path stroke-width="2" d="M24.891026 350.565266 L24.891026 351.181258" class="reactive tooltip-trigger" /><rect x="14.934615384615384" y="351.1812576166295" height="0.4101997385010918" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="24.891025641025642" cy="352.3273795928768" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="24.891025641025642" cy="198.33525347498144" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 15.5500
	348	Q1-1.5IQR: 15.6410
	349	Q1: 16.0900
	350	Median: 16.2260
	351	Q3: 16.3910
	352	Q3+1.5IQR: 16.8430
	353	Max: 128.5460</desc><desc class="x centered">24.891025641025642</desc><desc class="y centered">351.3894913589321</desc><desc class="x_label" /></g></g></g><g class="series serie-1 color-1"><g class="boxes"><g class="box"><path stroke-width="3" d="M42.541026 351.324347 L52.497436 351.324347" class="reactive tooltip-trigger" /><path stroke-width="3" d="M37.562821 350.664746 L57.475641 350.664746" class="reactive tooltip-trigger" /><path stroke-width="3" d="M42.541026 349.966990 L52.497436 349.966990" class="reactive tooltip-trigger" /><path stroke-width="2" d="M47.519231 351.324347 L47.519231 350.816021" class="reactive tooltip-trigger" /><path stroke-width="2" d="M47.519231 349.966990 L47.519231 350.476679" class="reactive tooltip-trigger" /><rect x="37.562820512820515" y="350.4766790672791" height="0.33934178301979046" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="47.519230769230774" cy="351.44699973906154" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="47.519230769230774" cy="330.9762246506926" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 16.1960
	354	Q1-1.5IQR: 16.2860
	355	Q1: 16.6590
	356	Median: 16.7700
	357	Q3: 16.9080
	358	Q3+1.5IQR: 17.2820
	359	Max: 31.2170</desc><desc class="x centered">47.519230769230774</desc><desc class="y centered">350.64975651498906</desc><desc class="x_label" /></g></g></g><g class="series serie-2 color-2"><g class="boxes"><g class="box"><path stroke-width="3" d="M65.169231 351.313449 L75.125641 351.313449" class="reactive tooltip-trigger" /><path stroke-width="3" d="M60.191026 350.558449 L80.103846 350.558449" class="reactive tooltip-trigger" /><path stroke-width="3" d="M65.169231 349.773474 L75.125641 349.773474" class="reactive tooltip-trigger" /><path stroke-width="2" d="M70.147436 351.313449 L70.147436 350.738341" class="reactive tooltip-trigger" /><path stroke-width="2" d="M70.147436 349.773474 L70.147436 350.352663" class="reactive tooltip-trigger" /><rect x="60.19102564102564" y="350.3526627715606" height="0.3856780866811391" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="70.1474358974359" cy="351.42383654510627" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="70.1474358974359" cy="279.4633536861007" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 16.2130
	360	Q1-1.5IQR: 16.2940
	361	Q1: 16.7160
	362	Median: 16.8480
	363	Q3: 16.9990
	364	Q3+1.5IQR: 17.4240
	365	Max: 69.0160</desc><desc class="x centered">70.1474358974359</desc><desc class="y centered">350.54727524693834</desc><desc class="x_label" /></g></g></g><g class="series serie-3 color-3"><g class="boxes"><g class="box"><path stroke-width="3" d="M87.797436 350.978193 L97.753846 350.978193" class="reactive tooltip-trigger" /><path stroke-width="3" d="M82.819231 350.126437 L102.732051 350.126437" class="reactive tooltip-trigger" /><path stroke-width="3" d="M87.797436 349.228346 L97.753846 349.228346" class="reactive tooltip-trigger" /><path stroke-width="2" d="M92.775641 350.978193 L92.775641 350.326773" class="reactive tooltip-trigger" /><path stroke-width="2" d="M92.775641 349.228346 L92.775641 349.887946" class="reactive tooltip-trigger" /><rect x="82.81923076923077" y="349.8879462349576" height="0.4388265111675196" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="92.77564102564102" cy="351.1444602652734" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="92.77564102564102" cy="307.47183466699795" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 16.4180
	366	Q1-1.5IQR: 16.5400
	367	Q1: 17.0180
	368	Median: 17.1650
	369	Q3: 17.3400
	370	Q3+1.5IQR: 17.8240
	371	Max: 48.4640</desc><desc class="x centered">92.77564102564102</desc><desc class="y centered">350.10953897257536</desc><desc class="x_label" /></g></g></g><g class="series serie-4 color-4"><g class="boxes"><g class="box"><path stroke-width="3" d="M110.425641 350.679739 L120.382051 350.679739" class="reactive tooltip-trigger" /><path stroke-width="3" d="M105.447436 350.063748 L125.360256 350.063748" class="reactive tooltip-trigger" /><path stroke-width="3" d="M110.425641 349.417781 L120.382051 349.417781" class="reactive tooltip-trigger" /><path stroke-width="2" d="M115.403846 350.679739 L115.403846 350.208205" class="reactive tooltip-trigger" /><path stroke-width="2" d="M115.403846 349.417781 L115.403846 349.892036" class="reactive tooltip-trigger" /><rect x="105.4474358974359" y="349.8920364821779" height="0.31616867331365484" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="115.40384615384615" cy="350.7247116587163" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="115.40384615384615" cy="250.69578727350194" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 16.7260
	372	Q1-1.5IQR: 16.7590
	373	Q1: 17.1050
	374	Median: 17.2110
	375	Q3: 17.3370
	376	Q3+1.5IQR: 17.6850
	377	Max: 90.1250</desc><desc class="x centered">115.40384615384615</desc><desc class="y centered">350.0523017882313</desc><desc class="x_label" /></g></g></g><g class="series serie-5 color-5"><g class="boxes"><g class="box"><path stroke-width="3" d="M133.053846 349.976529 L143.010256 349.976529" class="reactive tooltip-trigger" /><path stroke-width="3" d="M128.075641 348.908087 L147.988462 348.908087" class="reactive tooltip-trigger" /><path stroke-width="3" d="M133.053846 347.610690 L143.010256 347.610690" class="reactive tooltip-trigger" /><path stroke-width="2" d="M138.032051 349.976529 L138.032051 349.161568" class="reactive tooltip-trigger" /><path stroke-width="2" d="M138.032051 347.610690 L138.032051 348.544213" class="reactive tooltip-trigger" /><rect x="128.07564102564103" y="348.54421326027943" height="0.6173546471126201" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="138.0320512820513" cy="349.9765285950601" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="138.0320512820513" cy="314.87461693788697" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 17.2750
	378	Q1-1.5IQR: 17.2750
	379	Q1: 17.8730
	380	Median: 18.0590
	381	Q3: 18.3260
	382	Q3+1.5IQR: 19.0110
	383	Max: 43.0320</desc><desc class="x centered">138.0320512820513</desc><desc class="y centered">348.84021726269094</desc><desc class="x_label" /></g></g></g><g class="series serie-6 color-6"><g class="boxes"><g class="box"><path stroke-width="3" d="M155.682051 349.810266 L165.638462 349.810266" class="reactive tooltip-trigger" /><path stroke-width="3" d="M150.703846 349.188821 L170.616667 349.188821" class="reactive tooltip-trigger" /><path stroke-width="3" d="M155.682051 348.537401 L165.638462 348.537401" class="reactive tooltip-trigger" /><path stroke-width="2" d="M160.660256 349.810266 L160.660256 349.337374" class="reactive tooltip-trigger" /><path stroke-width="2" d="M160.660256 348.537401 L160.660256 349.019837" class="reactive tooltip-trigger" /><rect x="150.70384615384614" y="349.01983712280315" height="0.3175370469291465" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="160.6602564102564" cy="349.94791173814446" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="160.6602564102564" cy="204.99530634517467" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 17.2960
	384	Q1-1.5IQR: 17.3970
	385	Q1: 17.7440
	386	Median: 17.8530
	387	Q3: 17.9770
	388	Q3+1.5IQR: 18.3310
	389	Max: 123.6590</desc><desc class="x centered">160.6602564102564</desc><desc class="y centered">349.1787400046916</desc><desc class="x_label" /></g></g></g><g class="series serie-7 color-7"><g class="boxes"><g class="box"><path stroke-width="3" d="M178.310256 347.492122 L188.266667 347.492122" class="reactive tooltip-trigger" /><path stroke-width="3" d="M173.332051 346.750756 L193.244872 346.750756" class="reactive tooltip-trigger" /><path stroke-width="3" d="M178.310256 345.960327 L188.266667 345.960327" class="reactive tooltip-trigger" /><path stroke-width="2" d="M183.288462 347.492122 L183.288462 346.926563" class="reactive tooltip-trigger" /><path stroke-width="2" d="M183.288462 345.960327 L183.288462 346.540885" class="reactive tooltip-trigger" /><rect x="173.33205128205125" y="346.540884539923" height="0.3856780866811391" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="183.28846153846152" cy="347.5984241560678" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="183.28846153846152" cy="306.055875363223" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 19.0200
	390	Q1-1.5IQR: 19.0980
	391	Q1: 19.5130
	392	Median: 19.6420
	393	Q3: 19.7960
	394	Q3+1.5IQR: 20.2220
	395	Max: 49.5030</desc><desc class="x centered">183.28846153846152</desc><desc class="y centered">346.7341306248354</desc><desc class="x_label" /></g></g></g><g class="series serie-8 color-8"><g class="boxes"><g class="box"><path stroke-width="3" d="M200.938462 324.839490 L210.894872 324.839490" class="reactive tooltip-trigger" /><path stroke-width="3" d="M195.960256 323.659295 L215.873077 323.659295" class="reactive tooltip-trigger" /><path stroke-width="3" d="M200.938462 322.439581 L210.894872 322.439581" class="reactive tooltip-trigger" /><path stroke-width="2" d="M205.916667 324.839490 L205.916667 323.945486" class="reactive tooltip-trigger" /><path stroke-width="2" d="M205.916667 322.439581 L205.916667 323.344488" class="reactive tooltip-trigger" /><rect x="195.9602564102564" y="323.3444876929769" height="0.6009986161068923" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="205.91666666666666" cy="324.9975772201437" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="205.91666666666666" cy="181.9883400022189" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 35.6040
	396	Q1-1.5IQR: 35.7200
	397	Q1: 36.3760
	398	Median: 36.5860
	399	Q3: 36.8170
	400	Q3+1.5IQR: 37.4810
	401	Max: 140.5410</desc><desc class="x centered">205.91666666666666</desc><desc class="y centered">323.64566821311286</desc><desc class="x_label" /></g></g></g><g class="series serie-9 color-9"><g class="boxes"><g class="box"><path stroke-width="3" d="M223.566667 324.297094 L233.523077 324.297094" class="reactive tooltip-trigger" /><path stroke-width="3" d="M218.588462 323.437160 L238.501282 323.437160" class="reactive tooltip-trigger" /><path stroke-width="3" d="M223.566667 322.554059 L233.523077 322.554059" class="reactive tooltip-trigger" /><path stroke-width="2" d="M228.544872 324.297094 L228.544872 323.648051" class="reactive tooltip-trigger" /><path stroke-width="2" d="M228.544872 322.554059 L228.544872 323.210932" class="reactive tooltip-trigger" /><rect x="218.58846153846153" y="323.21093244495313" height="0.4371185230858714" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="228.5448717948718" cy="324.4769854275741" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="228.5448717948718" cy="285.4106574282538" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 35.9860
	402	Q1-1.5IQR: 36.1180
	403	Q1: 36.5943
	404	Median: 36.7490
	405	Q3: 36.9150
	406	Q3+1.5IQR: 37.3970
	407	Max: 64.6520</desc><desc class="x centered">228.5448717948718</desc><desc class="y centered">323.42945923241206</desc><desc class="x_label" /></g></g></g><g class="series serie-10 color-10"><g class="boxes"><g class="box"><path stroke-width="3" d="M246.194872 323.164601 L256.151282 323.164601" class="reactive tooltip-trigger" /><path stroke-width="3" d="M241.216667 321.978952 L261.129487 321.978952" class="reactive tooltip-trigger" /><path stroke-width="3" d="M246.194872 320.693824 L256.151282 320.693824" class="reactive tooltip-trigger" /><path stroke-width="2" d="M251.173077 323.164601 L251.173077 322.266502" class="reactive tooltip-trigger" /><path stroke-width="2" d="M251.173077 320.693824 L251.173077 321.640977" class="reactive tooltip-trigger" /><rect x="241.21666666666664" y="321.6409765728039" height="0.6255252258022779" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="251.1730769230769" cy="323.2218348129984" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="251.1730769230769" cy="258.9871249347714" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 36.9070
	408	Q1-1.5IQR: 36.9490
	409	Q1: 37.6080
	410	Median: 37.8190
	411	Q3: 38.0670
	412	Q3+1.5IQR: 38.7620
	413	Max: 84.0410</desc><desc class="x centered">251.1730769230769</desc><desc class="y centered">321.948971196915</desc><desc class="x_label" /></g></g></g><g class="series serie-11 color-11"><g class="boxes"><g class="box"><path stroke-width="3" d="M268.823077 319.168841 L278.779487 319.168841" class="reactive tooltip-trigger" /><path stroke-width="3" d="M263.844872 317.549822 L283.757692 317.549822" class="reactive tooltip-trigger" /><path stroke-width="3" d="M268.823077 315.189432 L278.779487 315.189432" class="reactive tooltip-trigger" /><path stroke-width="2" d="M273.801282 319.168841 L273.801282 318.092219" class="reactive tooltip-trigger" /><path stroke-width="2" d="M273.801282 315.189432 L273.801282 316.937916" class="reactive tooltip-trigger" /><rect x="263.84487179487184" y="316.93791611930567" height="1.1543024706878668" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="273.8012820512821" cy="319.16884106862415" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="273.8012820512821" cy="279.0558758212044" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 39.8810
	414	Q1-1.5IQR: 39.8810
	415	Q1: 40.6710
	416	Median: 41.0690
	417	Q3: 41.5180
	418	Q3+1.5IQR: 42.8010
	419	Max: 69.3150</desc><desc class="x centered">273.8012820512821</desc><desc class="y centered">317.38764599009363</desc><desc class="x_label" /></g></g></g><g class="series serie-12 color-12"><g class="boxes"><g class="box"><path stroke-width="3" d="M291.451282 318.498333 L301.407692 318.498333" class="reactive tooltip-trigger" /><path stroke-width="3" d="M286.473077 317.369928 L306.385897 317.369928" class="reactive tooltip-trigger" /><path stroke-width="3" d="M291.451282 316.161116 L301.407692 316.161116" class="reactive tooltip-trigger" /><path stroke-width="2" d="M296.429487 318.498333 L296.429487 317.643853" class="reactive tooltip-trigger" /><path stroke-width="2" d="M296.429487 316.161116 L296.429487 317.051030" class="reactive tooltip-trigger" /><rect x="286.473076923077" y="317.05103004697895" height="0.5928230795418017" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="296.42948717948724" cy="318.6223493348683" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="296.42948717948724" cy="-14.31495929252793" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 40.2820
	420	Q1-1.5IQR: 40.3730
	421	Q1: 41.0000
	422	Median: 41.2010
	423	Q3: 41.4350
	424	Q3+1.5IQR: 42.0880
	425	Max: 284.5840</desc><desc class="x centered">296.42948717948724</desc><desc class="y centered">317.34485208841875</desc><desc class="x_label" /></g></g></g><g class="series serie-13 color-13"><g class="boxes"><g class="box"><path stroke-width="3" d="M314.079487 316.428227 L324.035897 316.428227" class="reactive tooltip-trigger" /><path stroke-width="3" d="M309.101282 314.223881 L329.014103 314.223881" class="reactive tooltip-trigger" /><path stroke-width="3" d="M314.079487 311.922772 L324.035897 311.922772" class="reactive tooltip-trigger" /><path stroke-width="2" d="M319.057692 316.428227 L319.057692 314.765596" class="reactive tooltip-trigger" /><path stroke-width="2" d="M319.057692 311.922772 L319.057692 313.630374" class="reactive tooltip-trigger" /><rect x="309.1012820512821" y="313.630373649232" height="1.1352220871397094" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="319.0576923076924" cy="316.4895556137084" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="319.0576923076924" cy="169.07843895820895" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 41.8470
	426	Q1-1.5IQR: 41.8920
	427	Q1: 43.1120
	428	Median: 43.5095
	429	Q3: 43.9450
	430	Q3+1.5IQR: 45.1980
	431	Max: 150.0140</desc><desc class="x centered">319.0576923076924</desc><desc class="y centered">314.1941698555611</desc><desc class="x_label" /></g></g></g><g class="series serie-14 color-14"><g class="boxes"><g class="box"><path stroke-width="3" d="M336.707692 316.008478 L346.664103 316.008478" class="reactive tooltip-trigger" /><path stroke-width="3" d="M331.729487 313.864777 L351.642308 313.864777" class="reactive tooltip-trigger" /><path stroke-width="3" d="M336.707692 311.606604 L346.664103 311.606604" class="reactive tooltip-trigger" /><path stroke-width="2" d="M341.685897 316.008478 L341.685897 314.381284" class="reactive tooltip-trigger" /><path stroke-width="2" d="M341.685897 311.606604 L341.685897 313.271959" class="reactive tooltip-trigger" /><rect x="331.7294871794872" y="313.27195891947724" height="1.1093246248911441" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="341.68589743589746" cy="316.2892177837973" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="341.68589743589746" cy="129.59236731020692" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 41.9940
	432	Q1-1.5IQR: 42.2000
	433	Q1: 43.3940
	434	Median: 43.7730
	435	Q3: 44.2080
	436	Q3+1.5IQR: 45.4300
	437	Max: 178.9880</desc><desc class="x centered">341.68589743589746</desc><desc class="y centered">313.8266202403477</desc><desc class="x_label" /></g></g></g><g class="series serie-15 color-15"><g class="boxes"><g class="box"><path stroke-width="3" d="M359.335897 314.002423 L369.292308 314.002423" class="reactive tooltip-trigger" /><path stroke-width="3" d="M354.357692 311.103726 L374.270513 311.103726" class="reactive tooltip-trigger" /><path stroke-width="3" d="M359.335897 308.124623 L369.292308 308.124623" class="reactive tooltip-trigger" /><path stroke-width="2" d="M364.314103 314.002423 L364.314103 311.811022" class="reactive tooltip-trigger" /><path stroke-width="2" d="M364.314103 308.124623 L364.314103 310.337824" class="reactive tooltip-trigger" /><rect x="354.35769230769233" y="310.3378237944239" height="1.4731979754816393" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="364.3141025641026" cy="314.62795272006537" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="364.3141025641026" cy="240.45699614784263" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 43.2130
	438	Q1-1.5IQR: 43.6720
	439	Q1: 45.2800
	440	Median: 45.7990
	441	Q3: 46.3610
	442	Q3+1.5IQR: 47.9850
	443	Max: 97.6380</desc><desc class="x centered">364.3141025641026</desc><desc class="y centered">311.0759235310539</desc><desc class="x_label" /></g></g></g><g class="series serie-16 color-16"><g class="boxes"><g class="box"><path stroke-width="3" d="M381.964103 313.532252 L391.920513 313.532252" class="reactive tooltip-trigger" /><path stroke-width="3" d="M376.985897 311.425349 L396.898718 311.425349" class="reactive tooltip-trigger" /><path stroke-width="3" d="M381.964103 309.183526 L391.920513 309.183526" class="reactive tooltip-trigger" /><path stroke-width="2" d="M386.942308 313.532252 L386.942308 311.945940" class="reactive tooltip-trigger" /><path stroke-width="2" d="M386.942308 309.183526 L386.942308 310.841725" class="reactive tooltip-trigger" /><rect x="376.98589743589747" y="310.84172489939704" height="1.1042155342723845" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="386.94230769230774" cy="313.71350730424956" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="386.94230769230774" cy="233.25318333324913" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 43.8840
	444	Q1-1.5IQR: 44.0170
	445	Q1: 45.1810
	446	Median: 45.5630
	447	Q3: 45.9912
	448	Q3+1.5IQR: 47.2080
	449	Max: 102.9240</desc><desc class="x centered">386.94230769230774</desc><desc class="y centered">311.38575851852045</desc><desc class="x_label" /></g></g></g><g class="series serie-17 color-17"><g class="boxes"><g class="box"><path stroke-width="3" d="M404.592308 312.890371 L414.548718 312.890371" class="reactive tooltip-trigger" /><path stroke-width="3" d="M399.614103 310.580408 L419.526923 310.580408" class="reactive tooltip-trigger" /><path stroke-width="3" d="M404.592308 308.176408 L414.548718 308.176408" class="reactive tooltip-trigger" /><path stroke-width="2" d="M409.570513 312.890371 L409.570513 311.139155" class="reactive tooltip-trigger" /><path stroke-width="2" d="M409.570513 308.176408 L409.570513 309.954877" class="reactive tooltip-trigger" /><rect x="399.6141025641026" y="309.9548774970984" height="1.1842777854681117" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="409.5705128205129" cy="313.2215323685956" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="409.5705128205129" cy="-191.86735560796" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 44.2450
	450	Q1-1.5IQR: 44.4880
	451	Q1: 45.7730
	452	Median: 46.1830
	453	Q3: 46.6420
	454	Q3+1.5IQR: 47.9470
	455	Max: 414.8680</desc><desc class="x centered">409.5705128205129</desc><desc class="y centered">310.548243959786</desc><desc class="x_label" /></g></g></g><g class="series serie-18 color-18"><g class="boxes"><g class="box"><path stroke-width="3" d="M427.220513 309.381132 L437.176923 309.381132" class="reactive tooltip-trigger" /><path stroke-width="3" d="M422.242308 306.900816 L442.155128 306.900816" class="reactive tooltip-trigger" /><path stroke-width="3" d="M427.220513 304.304665 L437.176923 304.304665" class="reactive tooltip-trigger" /><path stroke-width="2" d="M432.198718 309.381132 L432.198718 307.505910" class="reactive tooltip-trigger" /><path stroke-width="2" d="M432.198718 304.304665 L432.198718 306.226223" class="reactive tooltip-trigger" /><rect x="422.24230769230775" y="306.22622300472744" height="1.279687140021906" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="432.198717948718" cy="309.67550121726543" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="432.198717948718" cy="-36.784977811908504" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 46.8470
	456	Q1-1.5IQR: 47.0630
	457	Q1: 48.4390
	458	Median: 48.8830
	459	Q3: 49.3780
	460	Q3+1.5IQR: 50.7880
	461	Max: 301.0720</desc><desc class="x centered">432.198717948718</desc><desc class="y centered">306.8637492637678</desc><desc class="x_label" /></g></g></g><g class="series serie-19 color-19"><g class="boxes"><g class="box"><path stroke-width="3" d="M449.848718 307.963810 L459.805128 307.963810" class="reactive tooltip-trigger" /><path stroke-width="3" d="M444.870513 305.566627 L464.783333 305.566627" class="reactive tooltip-trigger" /><path stroke-width="3" d="M449.848718 303.109479 L459.805128 303.109479" class="reactive tooltip-trigger" /><path stroke-width="2" d="M454.826923 307.963810 L454.826923 306.148548" class="reactive tooltip-trigger" /><path stroke-width="2" d="M454.826923 303.109479 L454.826923 304.932922" class="reactive tooltip-trigger" /><rect x="444.87051282051283" y="304.93292153880634" height="1.215626431739338" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="454.8269230769231" cy="308.38900691429393" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="454.8269230769231" cy="12.462902641364337" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 47.7910
	462	Q1-1.5IQR: 48.1030
	463	Q1: 49.4350
	464	Median: 49.8620
	465	Q3: 50.3270
	466	Q3+1.5IQR: 51.6650
	467	Max: 264.9350</desc><desc class="x centered">454.8269230769231</desc><desc class="y centered">305.54427715666253</desc><desc class="x_label" /></g></g></g><g class="series serie-20 color-20"><g class="boxes"><g class="box"><path stroke-width="3" d="M472.476923 303.938069 L482.433333 303.938069" class="reactive tooltip-trigger" /><path stroke-width="3" d="M467.498718 300.571930 L487.411538 300.571930" class="reactive tooltip-trigger" /><path stroke-width="3" d="M472.476923 297.115839 L482.433333 297.115839" class="reactive tooltip-trigger" /><path stroke-width="2" d="M477.455128 303.938069 L477.455128 301.433222" class="reactive tooltip-trigger" /><path stroke-width="2" d="M477.455128 297.115839 L477.455128 299.706882" class="reactive tooltip-trigger" /><rect x="467.49871794871797" y="299.7068820757246" height="1.726339657537551" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="477.45512820512823" cy="304.6549086747135" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="477.45512820512823" cy="-97.80209099590445" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 50.5310
	468	Q1-1.5IQR: 51.0570
	469	Q1: 52.8950
	470	Median: 53.5270
	471	Q3: 54.1618
	472	Q3+1.5IQR: 56.0630
	473	Max: 345.8450</desc><desc class="x centered">477.45512820512823</desc><desc class="y centered">300.55318843493865</desc><desc class="x_label" /></g></g></g><g class="series serie-21 color-21"><g class="boxes"><g class="box"><path stroke-width="3" d="M495.105128 302.259085 L505.061538 302.259085" class="reactive tooltip-trigger" /><path stroke-width="3" d="M490.126923 299.038082 L510.039744 299.038082" class="reactive tooltip-trigger" /><path stroke-width="3" d="M495.105128 295.646727 L505.061538 295.646727" class="reactive tooltip-trigger" /><path stroke-width="2" d="M500.083333 302.259085 L500.083333 299.803982" class="reactive tooltip-trigger" /><path stroke-width="2" d="M500.083333 295.646727 L500.083333 298.143399" class="reactive tooltip-trigger" /><rect x="490.1269230769231" y="298.1433987099342" height="1.6605833558618883" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="500.08333333333337" cy="302.9186854925292" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="500.08333333333337" cy="153.30935594972263" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 51.8050
	474	Q1-1.5IQR: 52.2890
	475	Q1: 54.0905
	476	Median: 54.6525
	477	Q3: 55.3090
	478	Q3+1.5IQR: 57.1410
	479	Max: 161.5850</desc><desc class="x centered">500.08333333333337</desc><desc class="y centered">298.9782548558692</desc><desc class="x_label" /></g></g></g><g class="series serie-22 color-22"><g class="boxes"><g class="box"><path stroke-width="3" d="M517.733333 302.023323 L527.689744 302.023323" class="reactive tooltip-trigger" /><path stroke-width="3" d="M512.755128 299.243184 L532.667949 299.243184" class="reactive tooltip-trigger" /><path stroke-width="3" d="M517.733333 296.355391 L527.689744 296.355391" class="reactive tooltip-trigger" /><path stroke-width="2" d="M522.711538 302.023323 L522.711538 299.910281" class="reactive tooltip-trigger" /><path stroke-width="2" d="M522.711538 296.355391 L522.711538 298.491595" class="reactive tooltip-trigger" /><rect x="512.7551282051282" y="298.4915952584514" height="1.4186861352552" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="522.7115384615385" cy="302.51256608549755" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="522.7115384615385" cy="142.90021222468343" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 52.1030
	480	Q1-1.5IQR: 52.4620
	481	Q1: 54.0125
	482	Median: 54.5020
	483	Q3: 55.0535
	484	Q3+1.5IQR: 56.6210
	485	Max: 169.2230</desc><desc class="x centered">522.7115384615385</desc><desc class="y centered">299.2047548985762</desc><desc class="x_label" /></g></g></g><g class="series serie-23 color-23"><g class="boxes"><g class="box"><path stroke-width="3" d="M540.361538 301.043458 L550.317949 301.043458" class="reactive tooltip-trigger" /><path stroke-width="3" d="M535.383333 298.281044 L555.296154 298.281044" class="reactive tooltip-trigger" /><path stroke-width="3" d="M540.361538 295.436855 L550.317949 295.436855" class="reactive tooltip-trigger" /><path stroke-width="2" d="M545.339744 301.043458 L545.339744 298.949160" class="reactive tooltip-trigger" /><path stroke-width="2" d="M545.339744 295.436855 L545.339744 297.545127" class="reactive tooltip-trigger" /><rect x="535.3833333333333" y="297.54512692530744" height="1.4040331344558012" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="545.3397435897435" cy="302.2154753167943" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="545.3397435897435" cy="152.15505843691022" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 52.3210
	486	Q1-1.5IQR: 53.1810
	487	Q1: 54.7177
	488	Median: 55.2080
	489	Q3: 55.7480
	490	Q3+1.5IQR: 57.2950
	491	Max: 162.4320</desc><desc class="x centered">545.3397435897435</desc><desc class="y centered">298.25112888069054</desc><desc class="x_label" /></g></g></g><g class="series serie-24 color-24"><g class="boxes"><g class="box"><path stroke-width="3" d="M562.989744 294.826317 L572.946154 294.826317" class="reactive tooltip-trigger" /><path stroke-width="3" d="M558.011538 291.518775 L577.924359 291.518775" class="reactive tooltip-trigger" /><path stroke-width="3" d="M562.989744 288.085858 L572.946154 288.085858" class="reactive tooltip-trigger" /><path stroke-width="2" d="M567.967949 294.826317 L567.967949 292.314658" class="reactive tooltip-trigger" /><path stroke-width="2" d="M567.967949 288.085858 L567.967949 290.623410" class="reactive tooltip-trigger" /><rect x="558.0115384615385" y="290.62340978521394" height="1.6912478153253687" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="567.9679487179487" cy="296.1182602956118" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="567.9679487179487" cy="-139.6471842204129" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 56.7950
	492	Q1-1.5IQR: 57.7430
	493	Q1: 59.5860
	494	Median: 60.1700
	495	Q3: 60.8270
	496	Q3+1.5IQR: 62.6890
	497	Max: 376.5500</desc><desc class="x centered">567.9679487179487</desc><desc class="y centered">291.473803416923</desc><desc class="x_label" /></g></g></g><g class="series serie-25 color-25"><g class="boxes"><g class="box"><path stroke-width="3" d="M585.617949 289.897034 L595.574359 289.897034" class="reactive tooltip-trigger" /><path stroke-width="3" d="M580.639744 286.852517 L600.552564 286.852517" class="reactive tooltip-trigger" /><path stroke-width="3" d="M585.617949 283.538157 L595.574359 283.538157" class="reactive tooltip-trigger" /><path stroke-width="2" d="M590.596154 289.897034 L590.596154 287.565266" class="reactive tooltip-trigger" /><path stroke-width="2" d="M590.596154 283.538157 L590.596154 285.957144" class="reactive tooltip-trigger" /><rect x="580.6397435897436" y="285.95714420413424" height="1.6081215971209417" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="590.5961538461538" cy="290.4557864962519" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="590.5961538461538" cy="248.0124165292413" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 60.9500
	498	Q1-1.5IQR: 61.3600
	499	Q1: 63.0710
	500	Median: 63.5940
	501	Q3: 64.2510
	502	Q3+1.5IQR: 66.0260
	503	Max: 92.0940</desc><desc class="x centered">590.5961538461538</desc><desc class="y centered">286.76202354792633</desc><desc class="x_label" /></g></g></g><g class="series serie-26 color-26"><g class="boxes"><g class="box"><path stroke-width="3" d="M608.246154 79.273318 L618.202564 79.273318" class="reactive tooltip-trigger" /><path stroke-width="3" d="M603.267949 74.949803 L623.180769 74.949803" class="reactive tooltip-trigger" /><path stroke-width="3" d="M608.246154 70.454576 L618.202564 70.454576" class="reactive tooltip-trigger" /><path stroke-width="2" d="M613.224359 79.273318 L613.224359 76.006663" class="reactive tooltip-trigger" /><path stroke-width="2" d="M613.224359 70.454576 L613.224359 73.796184" class="reactive tooltip-trigger" /><rect x="603.2679487179488" y="73.796184498674" height="2.210478671092517" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="613.224358974359" cy="80.47668364709313" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="613.224358974359" cy="4.456389965012875" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 215.0280
	504	Q1-1.5IQR: 215.9110
	505	Q1: 218.3080
	506	Median: 219.0835
	507	Q3: 219.9300
	508	Q3+1.5IQR: 222.3820
	509	Max: 270.8100</desc><desc class="x centered">613.224358974359</desc><desc class="y centered">74.8961089917716</desc><desc class="x_label" /></g></g></g><g class="series serie-27 color-27"><g class="boxes"><g class="box"><path stroke-width="3" d="M630.874359 71.577530 L640.830769 71.577530" class="reactive tooltip-trigger" /><path stroke-width="3" d="M625.896154 67.298304 L645.808974 67.298304" class="reactive tooltip-trigger" /><path stroke-width="3" d="M630.874359 62.739701 L640.830769 62.739701" class="reactive tooltip-trigger" /><path stroke-width="2" d="M635.852564 71.577530 L635.852564 68.382757" class="reactive tooltip-trigger" /><path stroke-width="2" d="M635.852564 62.739701 L635.852564 66.144346" class="reactive tooltip-trigger" /><rect x="625.8961538461539" y="66.14434583507392" height="2.23841134120039" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="635.8525641025641" cy="72.58191652479928" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="635.8525641025641" cy="-667.3260167648473" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 220.8210
	510	Q1-1.5IQR: 221.5580
	511	Q1: 223.9023
	512	Median: 224.6980
	513	Q3: 225.5447
	514	Q3+1.5IQR: 228.0430
	515	Max: 763.7490</desc><desc class="x centered">635.8525641025641</desc><desc class="y centered">67.22852758635514</desc><desc class="x_label" /></g></g></g><g class="series serie-28 color-28"><g class="boxes"><g class="box"><path stroke-width="3" d="M653.502564 30.086762 L663.458974 30.086762" class="reactive tooltip-trigger" /><path stroke-width="3" d="M648.524359 24.770442 L668.437179 24.770442" class="reactive tooltip-trigger" /><path stroke-width="3" d="M653.502564 19.131131 L663.458974 19.131131" class="reactive tooltip-trigger" /><path stroke-width="2" d="M658.480769 30.086762 L658.480769 26.054212" class="reactive tooltip-trigger" /><path stroke-width="2" d="M658.480769 19.131131 L658.480769 23.288386" class="reactive tooltip-trigger" /><rect x="648.524358974359" y="23.28838643361047" height="2.765825170345863" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="658.4807692307692" cy="30.899000363105642" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="658.4807692307692" cy="-253.91747188265458" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 251.4070
	516	Q1-1.5IQR: 252.0030
	517	Q1: 254.9620
	518	Median: 255.9040
	519	Q3: 256.9915
	520	Q3+1.5IQR: 260.0420
	521	Max: 460.3990</desc><desc class="x centered">658.4807692307692</desc><desc class="y centered">24.66618645765186</desc><desc class="x_label" /></g></g></g><g class="series serie-29 color-29"><g class="boxes"><g class="box"><path stroke-width="3" d="M676.130769 17.814656 L686.087179 17.814656" class="reactive tooltip-trigger" /><path stroke-width="3" d="M671.152564 12.735462 L691.065385 12.735462" class="reactive tooltip-trigger" /><path stroke-width="3" d="M676.130769 7.158844 L686.087179 7.158844" class="reactive tooltip-trigger" /><path stroke-width="2" d="M681.108974 17.814656 L681.108974 13.979710" class="reactive tooltip-trigger" /><path stroke-width="2" d="M681.108974 7.158844 L681.108974 11.267718" class="reactive tooltip-trigger" /><rect x="671.1525641025642" y="11.267717529975528" height="2.71199255905168" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="681.1089743589744" cy="18.27665113549375" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="681.1089743589744" cy="-300.2884608404562" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 260.6690
	522	Q1-1.5IQR: 261.0080
	523	Q1: 263.8220
	524	Median: 264.7350
	525	Q3: 265.8120
	526	Q3+1.5IQR: 268.8270
	527	Max: 494.4250</desc><desc class="x centered">681.1089743589744</desc><desc class="y centered">12.591277901150875</desc><desc class="x_label" /></g></g></g></g><g class="titles"><text x="400.0" y="26" class="title plot_title">Speed in Microseconds (us)</text><text x="427.0" y="580.0" class="title">Trial</text><text x="0" y="252.0" class="title" transform="rotate(-90 0.000000 226.000000)">Duration</text></g><g transform="translate(74, 46)" class="plot overlay"><g class="series serie-0 color-0" /><g class="series serie-1 color-1" /><g class="series serie-2 color-2" /><g class="series serie-3 color-3" /><g class="series serie-4 color-4" /><g class="series serie-5 color-5" /><g class="series serie-6 color-6" /><g class="series serie-7 color-7" /><g class="series serie-8 color-8" /><g class="series serie-9 color-9" /><g class="series serie-10 color-10" /><g class="series serie-11 color-11" /><g class="series serie-12 color-12" /><g class="series serie-13 color-13" /><g class="series serie-14 color-14" /><g class="series serie-15 color-15" /><g class="series serie-16 color-16" /><g class="series serie-17 color-17" /><g class="series serie-18 color-18" /><g class="series serie-19 color-19" /><g class="series serie-20 color-20" /><g class="series serie-21 color-21" /><g class="series serie-22 color-22" /><g class="series serie-23 color-23" /><g class="series serie-24 color-24" /><g class="series serie-25 color-25" /><g class="series serie-26 color-26" /><g class="series serie-27 color-27" /><g class="series serie-28 color-28" /><g class="series serie-29 color-29" /></g><g transform="translate(74, 46)" class="plot text-overlay"><g class="series serie-0 color-0" /><g class="series serie-1 color-1" /><g class="series serie-2 color-2" /><g class="series serie-3 color-3" /><g class="series serie-4 color-4" /><g class="series serie-5 color-5" /><g class="series serie-6 color-6" /><g class="series serie-7 color-7" /><g class="series serie-8 color-8" /><g class="series serie-9 color-9" /><g class="series serie-10 color-10" /><g class="series serie-11 color-11" /><g class="series serie-12 color-12" /><g class="series serie-13 color-13" /><g class="series serie-14 color-14" /><g class="series serie-15 color-15" /><g class="series serie-16 color-16" /><g class="series serie-17 color-17" /><g class="series serie-18 color-18" /><g class="series serie-19 color-19" /><g class="series serie-20 color-20" /><g class="series serie-21 color-21" /><g class="series serie-22 color-22" /><g class="series serie-23 color-23" /><g class="series serie-24 color-24" /><g class="series serie-25 color-25" /><g class="series serie-26 color-26" /><g class="series serie-27 color-27" /><g class="series serie-28 color-28" /><g class="series serie-29 color-29" /></g><g transform="translate(74, 46)" class="plot tooltip-overlay"><g transform="translate(0 0)" style="opacity: 0" class="tooltip"><rect rx="0" ry="0" width="0" height="0" class="tooltip-box" /><g class="text" /></g></g></g></svg>⏎

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images/jsonpickle-2.2.0.svg less more

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	12	if (ctx == null) {
	13	ctx = null;
	14	}
	15	ctx = ctx \|\| document;
	16	return Array.prototype.slice.call(ctx.querySelectorAll(sel), 0).filter(function(e) {
	17	return e !== ctx;
	18	});
	19	};
	20
	21	matches = function(el, selector) {
	22	return (el.matches \|\| el.matchesSelector \|\| el.msMatchesSelector \|\| el.mozMatchesSelector \|\| el.webkitMatchesSelector \|\| el.oMatchesSelector).call(el, selector);
	23	};
	24
	25	sibl = function(el, match) {
	26	if (match == null) {
	27	match = null;
	28	}
	29	return Array.prototype.filter.call(el.parentElement.children, function(child) {
	30	return child !== el && (!match \|\| matches(child, match));
	31	});
	32	};
	33
	34	Array.prototype.one = function() {
	35	return this.length > 0 && this[0] \|\| {};
	36	};
	37
	38	padding = 5;
	39
	40	tooltip_timeout = null;
	41
	42	r_translation = /translate$(\d+)[ ,]+(\d+)$/;
	43
	44	get_translation = function(el) {
	45	return (r_translation.exec(el.getAttribute('transform')) \|\| []).slice(1).map(function(x) {
	46	return +x;
	47	});
	48	};
	49
	50	init = function(ctx) {
	51	var bbox, box, config, el, graph, inner_svg, num, parent, tooltip, tooltip_el, tt, uid, untooltip, xconvert, yconvert, _i, _j, _k, _len, _len1, _len2, _ref, _ref1, _ref2, _ref3;
	52	if ($('svg', ctx).length) {
	53	inner_svg = $('svg', ctx).one();
	54	parent = inner_svg.parentElement;
	55	box = inner_svg.viewBox.baseVal;
	56	bbox = parent.getBBox();
	57	xconvert = function(x) {
	58	return ((x - box.x) / box.width) * bbox.width;
	59	};
	60	yconvert = function(y) {
	61	return ((y - box.y) / box.height) * bbox.height;
	62	};
	63	} else {
	64	xconvert = yconvert = function(x) {
	65	return x;
	66	};
	67	}
	68	if (((_ref = window.pygal) != null ? _ref.config : void 0) != null) {
	69	if (window.pygal.config.no_prefix != null) {
	70	config = window.pygal.config;
	71	} else {
	72	uid = ctx.id.replace('chart-', '');
	73	config = window.pygal.config[uid];
	74	}
	75	} else {
	76	config = window.config;
	77	}
	78	tooltip_el = null;
	79	graph = $('.graph').one();
	80	tt = $('.tooltip', ctx).one();
	81	_ref1 = $('.reactive', ctx);
	82	for (_i = 0, _len = _ref1.length; _i < _len; _i++) {
	83	el = _ref1[_i];
	84	el.addEventListener('mouseenter', (function(el) {
	85	return function() {
	86	return el.classList.add('active');
	87	};
	88	})(el));
	89	el.addEventListener('mouseleave', (function(el) {
	90	return function() {
	91	return el.classList.remove('active');
	92	};
	93	})(el));
	94	}
	95	_ref2 = $('.activate-serie', ctx);
	96	for (_j = 0, _len1 = _ref2.length; _j < _len1; _j++) {
	97	el = _ref2[_j];
	98	num = el.id.replace('activate-serie-', '');
	99	el.addEventListener('mouseenter', (function(num) {
	100	return function() {
	101	var re, _k, _len2, _ref3, _results;
	102	_ref3 = $('.serie-' + num + ' .reactive', ctx);
	103	_results = [];
	104	for (_k = 0, _len2 = _ref3.length; _k < _len2; _k++) {
	105	re = _ref3[_k];
	106	_results.push(re.classList.add('active'));
	107	}
	108	return _results;
	109	};
	110	})(num));
	111	el.addEventListener('mouseleave', (function(num) {
	112	return function() {
	113	var re, _k, _len2, _ref3, _results;
	114	_ref3 = $('.serie-' + num + ' .reactive', ctx);
	115	_results = [];
	116	for (_k = 0, _len2 = _ref3.length; _k < _len2; _k++) {
	117	re = _ref3[_k];
	118	_results.push(re.classList.remove('active'));
	119	}
	120	return _results;
	121	};
	122	})(num));
	123	el.addEventListener('click', (function(el, num) {
	124	return function() {
	125	var ov, re, rect, show, _k, _l, _len2, _len3, _ref3, _ref4, _results;
	126	rect = $('rect', el).one();
	127	show = rect.style.fill !== '';
	128	rect.style.fill = show ? '' : 'transparent';
	129	_ref3 = $('.serie-' + num + ' .reactive', ctx);
	130	for (_k = 0, _len2 = _ref3.length; _k < _len2; _k++) {
	131	re = _ref3[_k];
	132	re.style.display = show ? '' : 'none';
	133	}
	134	_ref4 = $('.text-overlay .serie-' + num, ctx);
	135	_results = [];
	136	for (_l = 0, _len3 = _ref4.length; _l < _len3; _l++) {
	137	ov = _ref4[_l];
	138	_results.push(ov.style.display = show ? '' : 'none');
	139	}
	140	return _results;
	141	};
	142	})(el, num));
	143	}
	144	_ref3 = $('.tooltip-trigger', ctx);
	145	for (_k = 0, _len2 = _ref3.length; _k < _len2; _k++) {
	146	el = _ref3[_k];
	147	el.addEventListener('mouseenter', (function(el) {
	148	return function() {
	149	return tooltip_el = tooltip(el);
	150	};
	151	})(el));
	152	}
	153	tt.addEventListener('mouseenter', function() {
	154	return tooltip_el != null ? tooltip_el.classList.add('active') : void 0;
	155	});
	156	tt.addEventListener('mouseleave', function() {
	157	return tooltip_el != null ? tooltip_el.classList.remove('active') : void 0;
	158	});
	159	ctx.addEventListener('mouseleave', function() {
	160	if (tooltip_timeout) {
	161	clearTimeout(tooltip_timeout);
	162	}
	163	return untooltip(0);
	164	});
	165	graph.addEventListener('mousemove', function(el) {
	166	if (tooltip_timeout) {
	167	return;
	168	}
	169	if (!matches(el.target, '.background')) {
	170	return;
	171	}
	172	return untooltip(1000);
	173	});
	174	tooltip = function(el) {
	175	var a, baseline, cls, current_x, current_y, dy, h, i, key, keys, label, legend, name, plot_x, plot_y, rect, serie_index, subval, text, text_group, texts, traversal, value, w, x, x_elt, x_label, xlink, y, y_elt, _l, _len3, _len4, _len5, _m, _n, _ref4, _ref5, _ref6, _ref7, _ref8;
	176	clearTimeout(tooltip_timeout);
	177	tooltip_timeout = null;
	178	tt.style.opacity = 1;
	179	tt.style.display = '';
	180	text_group = $('g.text', tt).one();
	181	rect = $('rect', tt).one();
	182	text_group.innerHTML = '';
	183	label = sibl(el, '.label').one().textContent;
	184	x_label = sibl(el, '.x_label').one().textContent;
	185	value = sibl(el, '.value').one().textContent;
	186	xlink = sibl(el, '.xlink').one().textContent;
	187	serie_index = null;
	188	parent = el;
	189	traversal = [];
	190	while (parent) {
	191	traversal.push(parent);
	192	if (parent.classList.contains('series')) {
	193	break;
	194	}
	195	parent = parent.parentElement;
	196	}
	197	if (parent) {
	198	_ref4 = parent.classList;
	199	for (_l = 0, _len3 = _ref4.length; _l < _len3; _l++) {
	200	cls = _ref4[_l];
	201	if (cls.indexOf('serie-') === 0) {
	202	serie_index = +cls.replace('serie-', '');
	203	break;
	204	}
	205	}
	206	}
	207	legend = null;
	208	if (serie_index !== null) {
	209	legend = config.legends[serie_index];
	210	}
	211	dy = 0;
	212	keys = [[label, 'label']];
	213	_ref5 = value.split('\n');
	214	for (i = _m = 0, _len4 = _ref5.length; _m < _len4; i = ++_m) {
	215	subval = _ref5[i];
	216	keys.push([subval, 'value-' + i]);
	217	}
	218	if (config.tooltip_fancy_mode) {
	219	keys.push([xlink, 'xlink']);
	220	keys.unshift([x_label, 'x_label']);
	221	keys.unshift([legend, 'legend']);
	222	}
	223	texts = {};
	224	for (_n = 0, _len5 = keys.length; _n < _len5; _n++) {
	225	_ref6 = keys[_n], key = _ref6[0], name = _ref6[1];
	226	if (key) {
	227	text = document.createElementNS(svg_ns, 'text');
	228	text.textContent = key;
	229	text.setAttribute('x', padding);
	230	text.setAttribute('dy', dy);
	231	text.classList.add(name.indexOf('value') === 0 ? 'value' : name);
	232	if (name.indexOf('value') === 0 && config.tooltip_fancy_mode) {
	233	text.classList.add('color-' + serie_index);
	234	}
	235	if (name === 'xlink') {
	236	a = document.createElementNS(svg_ns, 'a');
	237	a.setAttributeNS(xlink_ns, 'href', key);
	238	a.textContent = void 0;
	239	a.appendChild(text);
	240	text.textContent = 'Link >';
	241	text_group.appendChild(a);
	242	} else {
	243	text_group.appendChild(text);
	244	}
	245	dy += text.getBBox().height + padding / 2;
	246	baseline = padding;
	247	if (text.style.dominantBaseline !== void 0) {
	248	text.style.dominantBaseline = 'text-before-edge';
	249	} else {
	250	baseline += text.getBBox().height * .8;
	251	}
	252	text.setAttribute('y', baseline);
	253	texts[name] = text;
	254	}
	255	}
	256	w = text_group.getBBox().width + 2 * padding;
	257	h = text_group.getBBox().height + 2 * padding;
	258	rect.setAttribute('width', w);
	259	rect.setAttribute('height', h);
	260	if (texts.value) {
	261	texts.value.setAttribute('dx', (w - texts.value.getBBox().width) / 2 - padding);
	262	}
	263	if (texts.x_label) {
	264	texts.x_label.setAttribute('dx', w - texts.x_label.getBBox().width - 2 * padding);
	265	}
	266	if (texts.xlink) {
	267	texts.xlink.setAttribute('dx', w - texts.xlink.getBBox().width - 2 * padding);
	268	}
	269	x_elt = sibl(el, '.x').one();
	270	y_elt = sibl(el, '.y').one();
	271	x = parseInt(x_elt.textContent);
	272	if (x_elt.classList.contains('centered')) {
	273	x -= w / 2;
	274	} else if (x_elt.classList.contains('left')) {
	275	x -= w;
	276	} else if (x_elt.classList.contains('auto')) {
	277	x = xconvert(el.getBBox().x + el.getBBox().width / 2) - w / 2;
	278	}
	279	y = parseInt(y_elt.textContent);
	280	if (y_elt.classList.contains('centered')) {
	281	y -= h / 2;
	282	} else if (y_elt.classList.contains('top')) {
	283	y -= h;
	284	} else if (y_elt.classList.contains('auto')) {
	285	y = yconvert(el.getBBox().y + el.getBBox().height / 2) - h / 2;
	286	}
	287	_ref7 = get_translation(tt.parentElement), plot_x = _ref7[0], plot_y = _ref7[1];
	288	if (x + w + plot_x > config.width) {
	289	x = config.width - w - plot_x;
	290	}
	291	if (y + h + plot_y > config.height) {
	292	y = config.height - h - plot_y;
	293	}
	294	if (x + plot_x < 0) {
	295	x = -plot_x;
	296	}
	297	if (y + plot_y < 0) {
	298	y = -plot_y;
	299	}
	300	_ref8 = get_translation(tt), current_x = _ref8[0], current_y = _ref8[1];
	301	if (current_x === x && current_y === y) {
	302	return el;
	303	}
	304	tt.setAttribute('transform', "translate(" + x + " " + y + ")");
	305	return el;
	306	};
	307	return untooltip = function(ms) {
	308	return tooltip_timeout = setTimeout(function() {
	309	tt.style.display = 'none';
	310	tt.style.opacity = 0;
	311	if (tooltip_el != null) {
	312	tooltip_el.classList.remove('active');
	313	}
	314	return tooltip_timeout = null;
	315	}, ms);
	316	};
	317	};
	318
	319	init_svg = function() {
	320	var chart, charts, _i, _len, _results;
	321	charts = $('.pygal-chart');
	322	if (charts.length) {
	323	_results = [];
	324	for (_i = 0, _len = charts.length; _i < _len; _i++) {
	325	chart = charts[_i];
	326	_results.push(init(chart));
	327	}
	328	return _results;
	329	}
	330	};
	331
	332	if (document.readyState !== 'loading') {
	333	init_svg();
	334	} else {
	335	document.addEventListener('DOMContentLoaded', function() {
	336	return init_svg();
	337	});
	338	}
	339
	340	window.pygal = window.pygal \|\| {};
	341
	342	window.pygal.init = init;
	343
	344	window.pygal.init_svg = init_svg;
	345
	346	}).call(this);
	347	</script></defs><title>Speed in Microseconds (us)</title><g class="graph custombox-graph vertical"><rect x="0" y="0" width="800" height="600" class="background" /><g transform="translate(74, 46)" class="plot"><rect x="0" y="0" width="706.0" height="360.0" class="background" /><g class="axis y always_show"><path d="M0.000000 360.000000 h706.000000" class="line" /><g class="guides"><path d="M0.000000 348.235611 h706.000000" class="guide line" /><text x="-5" y="351.73561054330287" class="">16</text><title>16</title></g><g class="guides"><path d="M0.000000 328.870360 h706.000000" class="guide line" /><text x="-5" y="332.37036040882197" class="">24</text><title>24</title></g><g class="guides"><path d="M0.000000 309.505110 h706.000000" class="guide line" /><text x="-5" y="313.00511027434106" class="">32</text><title>32</title></g><g class="guides"><path d="M0.000000 290.139860 h706.000000" class="guide line" /><text x="-5" y="293.63986013986016" class="">40</text><title>40</title></g><g class="guides"><path d="M0.000000 270.774610 h706.000000" class="guide line" /><text x="-5" y="274.27461000537926" class="">48</text><title>48</title></g><g class="guides"><path d="M0.000000 251.409360 h706.000000" class="guide line" /><text x="-5" y="254.90935987089836" class="">56</text><title>56</title></g><g class="guides"><path d="M0.000000 232.044110 h706.000000" class="guide line" /><text x="-5" y="235.54410973641745" class="">64</text><title>64</title></g><g class="guides"><path d="M0.000000 212.678860 h706.000000" class="guide line" /><text x="-5" y="216.17885960193655" class="">72</text><title>72</title></g><g class="guides"><path d="M0.000000 193.313609 h706.000000" class="guide line" /><text x="-5" y="196.81360946745565" class="">80</text><title>80</title></g><g class="guides"><path d="M0.000000 173.948359 h706.000000" class="guide line" /><text x="-5" y="177.44835933297477" class="">88</text><title>88</title></g><g class="guides"><path d="M0.000000 154.583109 h706.000000" class="guide line" /><text x="-5" y="158.08310919849387" class="">96</text><title>96</title></g><g class="guides"><path d="M0.000000 135.217859 h706.000000" class="guide line" /><text x="-5" y="138.71785906401297" class="">104</text><title>104</title></g><g class="guides"><path d="M0.000000 115.852609 h706.000000" class="guide line" /><text x="-5" y="119.35260892953207" class="">112</text><title>112</title></g><g class="guides"><path d="M0.000000 96.487359 h706.000000" class="guide line" /><text x="-5" y="99.98735879505114" class="">120</text><title>120</title></g><g class="guides"><path d="M0.000000 77.122109 h706.000000" class="guide line" /><text x="-5" y="80.62210866057023" class="">128</text><title>128</title></g><g class="guides"><path d="M0.000000 57.756859 h706.000000" class="guide line" /><text x="-5" y="61.25685852608939" class="">136</text><title>136</title></g><g class="guides"><path d="M0.000000 38.391608 h706.000000" class="guide line" /><text x="-5" y="41.89160839160843" class="">144</text><title>144</title></g><g class="guides"><path d="M0.000000 19.026358 h706.000000" class="guide line" /><text x="-5" y="22.526358257127526" class="">152</text><title>152</title></g></g><g class="axis x"><path d="M0.000000 0.000000 v360.000000" class="line" /><g class="guides"><path d="M24.891026 0.000000 v360.000000" class="guide line" /><text x="24.89102564102564" y="375.0" class="backwards" transform="rotate(270 24.891026 375.000000)">simple_tuple_d</text></g><g class="guides"><path d="M47.519231 0.000000 v360.000000" class="guide line" /><text x="47.51923076923077" y="375.0" class="backwards" transform="rotate(270 47.519231 375.000000)">simple_set_d</text></g><g class="guides"><path d="M70.147436 0.000000 v360.000000" class="guide line" /><text x="70.1474358974359" y="375.0" class="backwards" transform="rotate(270 70.147436 375.000000)">simple_list_e</text></g><g class="guides"><path d="M92.775641 0.000000 v360.000000" class="guide line" /><text x="92.77564102564102" y="375.0" class="backwards" transform="rotate(270 92.775641 375.000000)">simple_tuple_e</text></g><g class="guides"><path d="M115.403846 0.000000 v360.000000" class="guide line" /><text x="115.40384615384615" y="375.0" class="backwards" transform="rotate(270 115.403846 375.000000)">simple_set_e</text></g><g class="guides"><path d="M138.032051 0.000000 v360.000000" class="guide line" /><text x="138.03205128205127" y="375.0" class="backwards" transform="rotate(270 138.032051 375.000000)">simple_dict_d</text></g><g class="guides"><path d="M160.660256 0.000000 v360.000000" class="guide line" /><text x="160.6602564102564" y="375.0" class="backwards" transform="rotate(270 160.660256 375.000000)">simple_dict_e</text></g><g class="guides"><path d="M183.288462 0.000000 v360.000000" class="guide line" /><text x="183.28846153846155" y="375.0" class="backwards" transform="rotate(270 183.288462 375.000000)">simple_list_d</text></g><g class="guides"><path d="M205.916667 0.000000 v360.000000" class="guide line" /><text x="205.91666666666666" y="375.0" class="backwards" transform="rotate(270 205.916667 375.000000)">complex_homog_tuple_d</text></g><g class="guides"><path d="M228.544872 0.000000 v360.000000" class="guide line" /><text x="228.5448717948718" y="375.0" class="backwards" transform="rotate(270 228.544872 375.000000)">complex_homog_set_d</text></g><g class="guides"><path d="M251.173077 0.000000 v360.000000" class="guide line" /><text x="251.17307692307688" y="375.0" class="backwards" transform="rotate(270 251.173077 375.000000)">complex_heterog_set_d</text></g><g class="guides"><path d="M273.801282 0.000000 v360.000000" class="guide line" /><text x="273.8012820512821" y="375.0" class="backwards" transform="rotate(270 273.801282 375.000000)">complex_heterog_tuple_d</text></g><g class="guides"><path d="M296.429487 0.000000 v360.000000" class="guide line" /><text x="296.4294871794872" y="375.0" class="backwards" transform="rotate(270 296.429487 375.000000)">complex_homog_list_e</text></g><g class="guides"><path d="M319.057692 0.000000 v360.000000" class="guide line" /><text x="319.05769230769226" y="375.0" class="backwards" transform="rotate(270 319.057692 375.000000)">complex_homog_list_d</text></g><g class="guides"><path d="M341.685897 0.000000 v360.000000" class="guide line" /><text x="341.6858974358974" y="375.0" class="backwards" transform="rotate(270 341.685897 375.000000)">complex_homog_dict_d</text></g><g class="guides"><path d="M364.314103 0.000000 v360.000000" class="guide line" /><text x="364.3141025641026" y="375.0" class="backwards" transform="rotate(270 364.314103 375.000000)">complex_homog_tuple_e</text></g><g class="guides"><path d="M386.942308 0.000000 v360.000000" class="guide line" /><text x="386.9423076923077" y="375.0" class="backwards" transform="rotate(270 386.942308 375.000000)">complex_homog_set_e</text></g><g class="guides"><path d="M409.570513 0.000000 v360.000000" class="guide line" /><text x="409.5705128205129" y="375.0" class="backwards" transform="rotate(270 409.570513 375.000000)">complex_heterog_dict_d</text></g><g class="guides"><path d="M432.198718 0.000000 v360.000000" class="guide line" /><text x="432.19871794871796" y="375.0" class="backwards" transform="rotate(270 432.198718 375.000000)">complex_heterog_list_d</text></g><g class="guides"><path d="M454.826923 0.000000 v360.000000" class="guide line" /><text x="454.8269230769231" y="375.0" class="backwards" transform="rotate(270 454.826923 375.000000)">complex_heterog_set_e</text></g><g class="guides"><path d="M477.455128 0.000000 v360.000000" class="guide line" /><text x="477.4551282051282" y="375.0" class="backwards" transform="rotate(270 477.455128 375.000000)">complex_heterog_list_e</text></g><g class="guides"><path d="M500.083333 0.000000 v360.000000" class="guide line" /><text x="500.08333333333337" y="375.0" class="backwards" transform="rotate(270 500.083333 375.000000)">complex_heterog_tuple_e</text></g><g class="guides"><path d="M522.711538 0.000000 v360.000000" class="guide line" /><text x="522.7115384615385" y="375.0" class="backwards" transform="rotate(270 522.711538 375.000000)">complex_homog_dict_e</text></g><g class="guides"><path d="M545.339744 0.000000 v360.000000" class="guide line" /><text x="545.3397435897435" y="375.0" class="backwards" transform="rotate(270 545.339744 375.000000)">simple_cls_d</text></g><g class="guides"><path d="M567.967949 0.000000 v360.000000" class="guide line" /><text x="567.9679487179487" y="375.0" class="backwards" transform="rotate(270 567.967949 375.000000)">complex_heterog_dict_e</text></g><g class="guides"><path d="M590.596154 0.000000 v360.000000" class="guide line" /><text x="590.5961538461538" y="375.0" class="backwards" transform="rotate(270 590.596154 375.000000)">simple_cls_e</text></g><g class="guides"><path d="M613.224359 0.000000 v360.000000" class="guide line" /><text x="613.224358974359" y="375.0" class="backwards" transform="rotate(270 613.224359 375.000000)">complex_cls_d</text></g><g class="guides"><path d="M635.852564 0.000000 v360.000000" class="guide line" /><text x="635.8525641025641" y="375.0" class="backwards" transform="rotate(270 635.852564 375.000000)">state_cls_d</text></g><g class="guides"><path d="M658.480769 0.000000 v360.000000" class="guide line" /><text x="658.4807692307692" y="375.0" class="backwards" transform="rotate(270 658.480769 375.000000)">complex_cls_e</text></g><g class="guides"><path d="M681.108974 0.000000 v360.000000" class="guide line" /><text x="681.1089743589743" y="375.0" class="backwards" transform="rotate(270 681.108974 375.000000)">state_cls_e</text></g></g><g class="series serie-0 color-0"><g class="boxes"><g class="box"><path stroke-width="3" d="M19.912821 351.275962 L29.869231 351.275962" class="reactive tooltip-trigger" /><path stroke-width="3" d="M14.934615 350.387574 L34.847436 350.387574" class="reactive tooltip-trigger" /><path stroke-width="3" d="M19.912821 349.484674 L29.869231 349.484674" class="reactive tooltip-trigger" /><path stroke-width="2" d="M24.891026 351.275962 L24.891026 350.605433" class="reactive tooltip-trigger" /><path stroke-width="2" d="M24.891026 349.484674 L24.891026 350.157607" class="reactive tooltip-trigger" /><rect x="14.934615384615384" y="350.1576068020221" height="0.44782658055225966" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="24.891025641025642" cy="351.47686922913465" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="24.891025641025642" cy="193.76142332748918" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 14.6610
	348	Q1-1.5IQR: 14.7440
	349	Q1: 15.0210
	350	Median: 15.1110
	351	Q3: 15.2060
	352	Q3+1.5IQR: 15.4840
	353	Max: 79.8150</desc><desc class="x centered">24.891025641025642</desc><desc class="y centered">350.382250134253</desc><desc class="x_label" /></g></g></g><g class="series serie-1 color-1"><g class="boxes"><g class="box"><path stroke-width="3" d="M42.541026 350.360944 L52.497436 350.360944" class="reactive tooltip-trigger" /><path stroke-width="3" d="M37.562821 349.499195 L57.475641 349.499195" class="reactive tooltip-trigger" /><path stroke-width="3" d="M42.541026 348.608394 L52.497436 348.608394" class="reactive tooltip-trigger" /><path stroke-width="2" d="M47.519231 350.360944 L47.519231 349.704954" class="reactive tooltip-trigger" /><path stroke-width="2" d="M47.519231 348.608394 L47.519231 349.266815" class="reactive tooltip-trigger" /><rect x="37.562820512820515" y="349.2668147164188" height="0.43813965473452754" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="47.519230769230774" cy="350.66352851859193" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="47.519230769230774" cy="182.07934304319113" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 14.9970
	354	Q1-1.5IQR: 15.1220
	355	Q1: 15.3930
	356	Median: 15.4780
	357	Q3: 15.5740
	358	Q3+1.5IQR: 15.8460
	359	Max: 84.6410</desc><desc class="x centered">47.519230769230774</desc><desc class="y centered">349.4880605795766</desc><desc class="x_label" /></g></g></g><g class="series serie-2 color-2"><g class="boxes"><g class="box"><path stroke-width="3" d="M65.169231 349.961535 L75.125641 349.961535" class="reactive tooltip-trigger" /><path stroke-width="3" d="M60.191026 348.739106 L80.103846 348.739106" class="reactive tooltip-trigger" /><path stroke-width="3" d="M65.169231 347.499735 L75.125641 347.499735" class="reactive tooltip-trigger" /><path stroke-width="2" d="M70.147436 349.961535 L70.147436 349.039269" class="reactive tooltip-trigger" /><path stroke-width="2" d="M70.147436 347.499735 L70.147436 348.424422" class="reactive tooltip-trigger" /><rect x="60.19102564102564" y="348.4244220347192" height="0.6148467942418279" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="70.1474358974359" cy="350.2447539091966" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="70.1474358974359" cy="199.26116665419207" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 15.1700
	360	Q1-1.5IQR: 15.2870
	361	Q1: 15.6680
	362	Median: 15.7920
	363	Q3: 15.9220
	364	Q3+1.5IQR: 16.3040
	365	Max: 77.5430</desc><desc class="x centered">70.1474358974359</desc><desc class="y centered">348.7328132437923</desc><desc class="x_label" /></g></g></g><g class="series serie-3 color-3"><g class="boxes"><g class="box"><path stroke-width="3" d="M87.797436 348.538191 L97.753846 348.538191" class="reactive tooltip-trigger" /><path stroke-width="3" d="M82.819231 347.335127 L102.732051 347.335127" class="reactive tooltip-trigger" /><path stroke-width="3" d="M87.797436 346.081234 L97.753846 346.081234" class="reactive tooltip-trigger" /><path stroke-width="2" d="M92.775641 348.538191 L92.775641 347.620759" class="reactive tooltip-trigger" /><path stroke-width="2" d="M92.775641 346.081234 L92.775641 347.005921" class="reactive tooltip-trigger" /><rect x="82.81923076923077" y="347.00592145575246" height="0.6148379879456343" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="92.77564102564102" cy="348.8867613914056" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="92.77564102564102" cy="314.83055077596896" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 15.7310
	366	Q1-1.5IQR: 15.8750
	367	Q1: 16.2540
	368	Median: 16.3720
	369	Q3: 16.5080
	370	Q3+1.5IQR: 16.8900
	371	Max: 29.8000</desc><desc class="x centered">92.77564102564102</desc><desc class="y centered">347.3162465274706</desc><desc class="x_label" /></g></g></g><g class="series serie-4 color-4"><g class="boxes"><g class="box"><path stroke-width="3" d="M110.425641 348.402635 L120.382051 348.402635" class="reactive tooltip-trigger" /><path stroke-width="3" d="M105.447436 347.279445 L125.360256 347.279445" class="reactive tooltip-trigger" /><path stroke-width="3" d="M110.425641 346.107855 L120.382051 346.107855" class="reactive tooltip-trigger" /><path stroke-width="2" d="M115.403846 348.402635 L115.403846 347.543308" class="reactive tooltip-trigger" /><path stroke-width="2" d="M115.403846 346.107855 L115.403846 346.969613" class="reactive tooltip-trigger" /><rect x="105.4474358974359" y="346.96961309652846" height="0.5736949721089672" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="115.40384615384615" cy="348.58902051695435" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="115.40384615384615" cy="287.7216272310626" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 15.8540
	372	Q1-1.5IQR: 15.9310
	373	Q1: 16.2860
	374	Median: 16.3950
	375	Q3: 16.5230
	376	Q3+1.5IQR: 16.8790
	377	Max: 40.9990</desc><desc class="x centered">115.40384615384615</desc><desc class="y centered">347.26057136164815</desc><desc class="x_label" /></g></g></g><g class="series serie-5 color-5"><g class="boxes"><g class="box"><path stroke-width="3" d="M133.053846 345.831901 L143.010256 345.831901" class="reactive tooltip-trigger" /><path stroke-width="3" d="M128.075641 343.948631 L147.988462 343.948631" class="reactive tooltip-trigger" /><path stroke-width="3" d="M133.053846 341.820871 L143.010256 341.820871" class="reactive tooltip-trigger" /><path stroke-width="2" d="M138.032051 345.831901 L138.032051 344.401292" class="reactive tooltip-trigger" /><path stroke-width="2" d="M138.032051 341.820871 L138.032051 343.370092" class="reactive tooltip-trigger" /><rect x="128.07564102564103" y="343.3700923634104" height="1.0311996721827654" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="138.0320512820513" cy="345.831901271832" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="138.0320512820513" cy="303.39779434962605" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 16.9930
	378	Q1-1.5IQR: 16.9930
	379	Q1: 17.5840
	380	Median: 17.7710
	381	Q3: 18.0100
	382	Q3+1.5IQR: 18.6500
	383	Max: 34.5230</desc><desc class="x centered">138.0320512820513</desc><desc class="y centered">343.87455751858914</desc><desc class="x_label" /></g></g></g><g class="series serie-6 color-6"><g class="boxes"><g class="box"><path stroke-width="3" d="M155.682051 345.171059 L165.638462 345.171059" class="reactive tooltip-trigger" /><path stroke-width="3" d="M150.703846 342.931953 L170.616667 342.931953" class="reactive tooltip-trigger" /><path stroke-width="3" d="M155.682051 339.850454 L165.638462 339.850454" class="reactive tooltip-trigger" /><path stroke-width="2" d="M160.660256 345.171059 L160.660256 343.495961" class="reactive tooltip-trigger" /><path stroke-width="2" d="M160.660256 339.850454 L160.660256 342.041152" class="reactive tooltip-trigger" /><rect x="150.70384615384614" y="342.04115181677633" height="1.4548089381907516" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="160.6602564102564" cy="345.17105919254857" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="160.6602564102564" cy="286.3200611596844" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 17.2660
	384	Q1-1.5IQR: 17.2660
	385	Q1: 17.9580
	386	Median: 18.1910
	387	Q3: 18.5590
	388	Q3+1.5IQR: 19.4640
	389	Max: 41.5780</desc><desc class="x centered">160.6602564102564</desc><desc class="y centered">342.69811560321426</desc><desc class="x_label" /></g></g></g><g class="series serie-7 color-7"><g class="boxes"><g class="box"><path stroke-width="3" d="M178.310256 343.924422 L188.266667 343.924422" class="reactive tooltip-trigger" /><path stroke-width="3" d="M173.332051 342.786719 L193.244872 342.786719" class="reactive tooltip-trigger" /><path stroke-width="3" d="M178.310256 341.593334 L188.266667 341.593334" class="reactive tooltip-trigger" /><path stroke-width="2" d="M183.288462 343.924422 L183.288462 343.060252" class="reactive tooltip-trigger" /><path stroke-width="2" d="M183.288462 341.593334 L183.288462 342.474448" class="reactive tooltip-trigger" /><rect x="173.33205128205125" y="342.47444800860205" height="0.5858036293811324" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="183.28846153846152" cy="344.47875221694994" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="183.28846153846152" cy="148.6452444163595" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 17.5520
	390	Q1-1.5IQR: 17.7810
	391	Q1: 18.1380
	392	Median: 18.2510
	393	Q3: 18.3800
	394	Q3+1.5IQR: 18.7440
	395	Max: 98.4530</desc><desc class="x centered">183.28846153846152</desc><desc class="y centered">342.76783505021314</desc><desc class="x_label" /></g></g></g><g class="series serie-8 color-8"><g class="boxes"><g class="box"><path stroke-width="3" d="M200.938462 322.039262 L210.894872 322.039262" class="reactive tooltip-trigger" /><path stroke-width="3" d="M195.960256 320.819255 L215.873077 320.819255" class="reactive tooltip-trigger" /><path stroke-width="3" d="M200.938462 319.555675 L210.894872 319.555675" class="reactive tooltip-trigger" /><path stroke-width="2" d="M205.916667 322.039262 L205.916667 321.124261" class="reactive tooltip-trigger" /><path stroke-width="2" d="M205.916667 319.555675 L205.916667 320.497306" class="reactive tooltip-trigger" /><rect x="195.9602564102564" y="320.4973055100652" height="0.6269554515139362" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="205.91666666666666" cy="322.458044971122" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="205.91666666666666" cy="125.03415530237399" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 26.6490
	396	Q1-1.5IQR: 26.8220
	397	Q1: 27.2000
	398	Median: 27.3260
	399	Q3: 27.4590
	400	Q3+1.5IQR: 27.8480
	401	Max: 108.2070</desc><desc class="x centered">205.91666666666666</desc><desc class="y centered">320.8071515192701</desc><desc class="x_label" /></g></g></g><g class="series serie-9 color-9"><g class="boxes"><g class="box"><path stroke-width="3" d="M223.566667 320.180200 L233.523077 320.180200" class="reactive tooltip-trigger" /><path stroke-width="3" d="M218.588462 318.747177 L238.501282 318.747177" class="reactive tooltip-trigger" /><path stroke-width="3" d="M223.566667 317.277838 L233.523077 317.277838" class="reactive tooltip-trigger" /><path stroke-width="2" d="M228.544872 320.180200 L228.544872 319.095748" class="reactive tooltip-trigger" /><path stroke-width="2" d="M228.544872 317.277838 L228.544872 318.369552" class="reactive tooltip-trigger" /><rect x="218.58846153846153" y="318.36955244004093" height="0.7261958049422219" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="228.5448717948718" cy="320.8386199381037" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="228.5448717948718" cy="165.27272048799827" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 27.3180
	402	Q1-1.5IQR: 27.5900
	403	Q1: 28.0380
	404	Median: 28.1820
	405	Q3: 28.3380
	406	Q3+1.5IQR: 28.7890
	407	Max: 91.5840</desc><desc class="x centered">228.5448717948718</desc><desc class="y centered">318.7341031612273</desc><desc class="x_label" /></g></g></g><g class="series serie-10 color-10"><g class="boxes"><g class="box"><path stroke-width="3" d="M246.194872 318.149274 L256.151282 318.149274" class="reactive tooltip-trigger" /><path stroke-width="3" d="M241.216667 316.069931 L261.129487 316.069931" class="reactive tooltip-trigger" /><path stroke-width="3" d="M246.194872 314.097101 L256.151282 314.097101" class="reactive tooltip-trigger" /><path stroke-width="2" d="M251.173077 318.149274 L251.173077 316.646048" class="reactive tooltip-trigger" /><path stroke-width="2" d="M251.173077 314.097101 L251.173077 315.626948" class="reactive tooltip-trigger" /><rect x="241.21666666666664" y="315.62694817262684" height="1.0190998212067939" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="251.1730769230769" cy="318.5172186162615" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="251.1730769230769" cy="260.455352785692" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 28.2770
	408	Q1-1.5IQR: 28.4290
	409	Q1: 29.0500
	410	Median: 29.2880
	411	Q3: 29.4710
	412	Q3+1.5IQR: 30.1030
	413	Max: 52.2630</desc><desc class="x centered">251.1730769230769</desc><desc class="y centered">316.117860437957</desc><desc class="x_label" /></g></g></g><g class="series serie-11 color-11"><g class="boxes"><g class="box"><path stroke-width="3" d="M268.823077 299.720822 L278.779487 299.720822" class="reactive tooltip-trigger" /><path stroke-width="3" d="M263.844872 295.586337 L283.757692 295.586337" class="reactive tooltip-trigger" /><path stroke-width="3" d="M268.823077 291.379234 L278.779487 291.379234" class="reactive tooltip-trigger" /><path stroke-width="2" d="M273.801282 299.720822 L273.801282 296.600593" class="reactive tooltip-trigger" /><path stroke-width="2" d="M273.801282 291.379234 L273.801282 294.513985" class="reactive tooltip-trigger" /><rect x="263.84487179487184" y="294.5139851325831" height="2.086607852613554" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="273.8012820512821" cy="300.4542810391788" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="273.8012820512821" cy="232.00295830542507" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 35.7390
	414	Q1-1.5IQR: 36.0420
	415	Q1: 37.3310
	416	Median: 37.7500
	417	Q3: 38.1930
	418	Q3+1.5IQR: 39.4880
	419	Max: 64.0170</desc><desc class="x centered">273.8012820512821</desc><desc class="y centered">295.5601942560056</desc><desc class="x_label" /></g></g></g><g class="series serie-12 color-12"><g class="boxes"><g class="box"><path stroke-width="3" d="M291.451282 299.626419 L301.407692 299.626419" class="reactive tooltip-trigger" /><path stroke-width="3" d="M286.473077 295.809035 L306.385897 295.809035" class="reactive tooltip-trigger" /><path stroke-width="3" d="M291.451282 291.149275 L301.407692 291.149275" class="reactive tooltip-trigger" /><path stroke-width="2" d="M296.429487 299.626419 L296.429487 296.973372" class="reactive tooltip-trigger" /><path stroke-width="2" d="M296.429487 291.149275 L296.429487 294.714901" class="reactive tooltip-trigger" /><rect x="286.473076923077" y="294.71490078033844" height="2.2584715292119313" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="296.42948717948724" cy="299.6264187462058" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="296.42948717948724" cy="210.40586032560515" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 36.0810
	420	Q1-1.5IQR: 36.0810
	421	Q1: 37.1770
	422	Median: 37.6580
	423	Q3: 38.1100
	424	Q3+1.5IQR: 39.5830
	425	Max: 72.9390</desc><desc class="x centered">296.42948717948724</desc><desc class="y centered">295.65460039313604</desc><desc class="x_label" /></g></g></g><g class="series serie-13 color-13"><g class="boxes"><g class="box"><path stroke-width="3" d="M314.079487 298.779183 L324.035897 298.779183" class="reactive tooltip-trigger" /><path stroke-width="3" d="M309.101282 296.201183 L329.014103 296.201183" class="reactive tooltip-trigger" /><path stroke-width="3" d="M314.079487 293.531202 L324.035897 293.531202" class="reactive tooltip-trigger" /><path stroke-width="2" d="M319.057692 298.779183 L319.057692 296.816030" class="reactive tooltip-trigger" /><path stroke-width="2" d="M319.057692 293.531202 L319.057692 295.504645" class="reactive tooltip-trigger" /><rect x="309.1012820512821" y="295.5046450202188" height="1.3113851951635525" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="319.0576923076924" cy="299.09386678993343" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="319.0576923076924" cy="126.05808978019346" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 36.3010
	426	Q1-1.5IQR: 36.4310
	427	Q1: 37.2420
	428	Median: 37.4960
	429	Q3: 37.7837
	430	Q3+1.5IQR: 38.5990
	431	Max: 107.7840</desc><desc class="x centered">319.0576923076924</desc><desc class="y centered">296.16644874704707</desc><desc class="x_label" /></g></g></g><g class="series serie-14 color-14"><g class="boxes"><g class="box"><path stroke-width="3" d="M336.707692 297.297743 L346.664103 297.297743" class="reactive tooltip-trigger" /><path stroke-width="3" d="M331.729487 294.037115 L351.642308 294.037115" class="reactive tooltip-trigger" /><path stroke-width="3" d="M336.707692 290.423073 L346.664103 290.423073" class="reactive tooltip-trigger" /><path stroke-width="2" d="M341.685897 297.297743 L341.685897 294.775418" class="reactive tooltip-trigger" /><path stroke-width="2" d="M341.685897 290.423073 L341.685897 293.037389" class="reactive tooltip-trigger" /><rect x="331.7294871794872" y="293.0373894175988" height="1.7380282302116825" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="341.68589743589746" cy="297.2977434237041" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="341.68589743589746" cy="154.82516844879646" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 37.0430
	432	Q1-1.5IQR: 37.0430
	433	Q1: 38.0850
	434	Median: 38.3900
	435	Q3: 38.8030
	436	Q3+1.5IQR: 39.8830
	437	Max: 95.9000</desc><desc class="x centered">341.68589743589746</desc><desc class="y centered">293.9141477895811</desc><desc class="x_label" /></g></g></g><g class="series serie-15 color-15"><g class="boxes"><g class="box"><path stroke-width="3" d="M359.335897 295.816304 L369.292308 295.816304" class="reactive tooltip-trigger" /><path stroke-width="3" d="M354.357692 291.991659 L374.270513 291.991659" class="reactive tooltip-trigger" /><path stroke-width="3" d="M359.335897 288.036303 L369.292308 288.036303" class="reactive tooltip-trigger" /><path stroke-width="2" d="M364.314103 295.816304 L364.314103 292.918777" class="reactive tooltip-trigger" /><path stroke-width="2" d="M364.314103 288.036303 L364.314103 290.974990" class="reactive tooltip-trigger" /><rect x="354.35769230769233" y="290.9749900732333" height="1.943787340875815" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="364.3141025641026" cy="295.9857373846587" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="364.3141025641026" cy="194.93544351140963" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 37.5850
	438	Q1-1.5IQR: 37.6550
	439	Q1: 38.8520
	440	Median: 39.2350
	441	Q3: 39.6550
	442	Q3+1.5IQR: 40.8690
	443	Max: 79.3300</desc><desc class="x centered">364.3141025641026</desc><desc class="y centered">291.94760674058904</desc><desc class="x_label" /></g></g></g><g class="series serie-16 color-16"><g class="boxes"><g class="box"><path stroke-width="3" d="M381.964103 293.163258 L391.920513 293.163258" class="reactive tooltip-trigger" /><path stroke-width="3" d="M376.985897 289.292635 L396.898718 289.292635" class="reactive tooltip-trigger" /><path stroke-width="3" d="M381.964103 285.259818 L391.920513 285.259818" class="reactive tooltip-trigger" /><path stroke-width="2" d="M386.942308 293.163258 L386.942308 290.241531" class="reactive tooltip-trigger" /><path stroke-width="2" d="M386.942308 285.259818 L386.942308 288.251749" class="reactive tooltip-trigger" /><rect x="376.98589743589747" y="288.25174864958433" height="1.9897826259175417" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="386.94230769230774" cy="293.7805263348517" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="386.94230769230774" cy="179.7821326170046" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 38.4960
	444	Q1-1.5IQR: 38.7510
	445	Q1: 39.9580
	446	Median: 40.3500
	447	Q3: 40.7800
	448	Q3+1.5IQR: 42.0160
	449	Max: 85.5900</desc><desc class="x centered">386.94230769230774</desc><desc class="y centered">289.24179826089346</desc><desc class="x_label" /></g></g></g><g class="series serie-17 color-17"><g class="boxes"><g class="box"><path stroke-width="3" d="M404.592308 292.369282 L414.548718 292.369282" class="reactive tooltip-trigger" /><path stroke-width="3" d="M399.614103 287.670788 L419.526923 287.670788" class="reactive tooltip-trigger" /><path stroke-width="3" d="M404.592308 282.621302 L414.548718 282.621302" class="reactive tooltip-trigger" /><path stroke-width="2" d="M409.570513 292.369282 L409.570513 288.837552" class="reactive tooltip-trigger" /><path stroke-width="2" d="M409.570513 282.621302 L409.570513 286.351535" class="reactive tooltip-trigger" /><rect x="399.6141025641026" y="286.3515348622957" height="2.4860174166697107" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="409.5705128205129" cy="292.93329899653946" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="409.5705128205129" cy="107.8305537208756" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 38.8460
	450	Q1-1.5IQR: 39.0790
	451	Q1: 40.5380
	452	Median: 41.0200
	453	Q3: 41.5650
	454	Q3+1.5IQR: 43.1060
	455	Max: 115.3140</desc><desc class="x centered">409.5705128205129</desc><desc class="y centered">287.57009200860745</desc><desc class="x_label" /></g></g></g><g class="series serie-18 color-18"><g class="boxes"><g class="box"><path stroke-width="3" d="M427.220513 291.236414 L437.176923 291.236414" class="reactive tooltip-trigger" /><path stroke-width="3" d="M422.242308 286.398737 L442.155128 286.398737" class="reactive tooltip-trigger" /><path stroke-width="3" d="M427.220513 281.440026 L437.176923 281.440026" class="reactive tooltip-trigger" /><path stroke-width="2" d="M432.198718 291.236414 L432.198718 287.576385" class="reactive tooltip-trigger" /><path stroke-width="2" d="M432.198718 281.440026 L432.198718 285.129106" class="reactive tooltip-trigger" /><rect x="422.24230769230775" y="285.1291064681754" height="2.4472785196950895" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="432.198717948718" cy="291.52205480563975" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="432.198717948718" cy="153.3800464364234" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 39.4290
	456	Q1-1.5IQR: 39.5470
	457	Q1: 41.0590
	458	Median: 41.5455
	459	Q3: 42.0700
	460	Q3+1.5IQR: 43.5940
	461	Max: 96.4970</desc><desc class="x centered">432.198717948718</desc><desc class="y centered">286.35613351017025</desc><desc class="x_label" /></g></g></g><g class="series serie-19 color-19"><g class="boxes"><g class="box"><path stroke-width="3" d="M449.848718 283.763849 L459.805128 283.763849" class="reactive tooltip-trigger" /><path stroke-width="3" d="M444.870513 280.033616 L464.783333 280.033616" class="reactive tooltip-trigger" /><path stroke-width="3" d="M449.848718 276.225923 L459.805128 276.225923" class="reactive tooltip-trigger" /><path stroke-width="2" d="M454.826923 283.763849 L454.826923 280.951047" class="reactive tooltip-trigger" /><path stroke-width="2" d="M454.826923 276.225923 L454.826923 279.070199" class="reactive tooltip-trigger" /><rect x="444.87051282051283" y="279.07019855809006" height="1.8808487419494213" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="454.8269230769231" cy="284.3738520873541" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="454.8269230769231" cy="151.81871653942275" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 42.3820
	462	Q1-1.5IQR: 42.6340
	463	Q1: 43.7960
	464	Median: 44.1750
	465	Q3: 44.5730
	466	Q3+1.5IQR: 45.7480
	467	Max: 97.1420</desc><desc class="x centered">454.8269230769231</desc><desc class="y centered">280.00892683641706</desc><desc class="x_label" /></g></g></g><g class="series serie-20 color-20"><g class="boxes"><g class="box"><path stroke-width="3" d="M472.476923 267.995700 L482.433333 267.995700" class="reactive tooltip-trigger" /><path stroke-width="3" d="M467.498718 262.568582 L487.411538 262.568582" class="reactive tooltip-trigger" /><path stroke-width="3" d="M472.476923 257.151160 L482.433333 257.151160" class="reactive tooltip-trigger" /><path stroke-width="2" d="M477.455128 267.995700 L477.455128 263.936865" class="reactive tooltip-trigger" /><path stroke-width="2" d="M477.455128 257.151160 L477.455128 261.225120" class="reactive tooltip-trigger" /><rect x="467.49871794871797" y="261.22511994264744" height="2.7117448039625742" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="477.45512820512823" cy="268.8937571536371" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="477.45512820512823" cy="70.78967797285878" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 48.7770
	468	Q1-1.5IQR: 49.1480
	469	Q1: 50.8247
	470	Median: 51.3900
	471	Q3: 51.9450
	472	Q3+1.5IQR: 53.6280
	473	Max: 130.6160</desc><desc class="x centered">477.45512820512823</desc><desc class="y centered">262.57548532730135</desc><desc class="x_label" /></g></g></g><g class="series serie-21 color-21"><g class="boxes"><g class="box"><path stroke-width="3" d="M495.105128 266.838623 L505.061538 266.838623" class="reactive tooltip-trigger" /><path stroke-width="3" d="M490.126923 261.597899 L510.039744 261.597899" class="reactive tooltip-trigger" /><path stroke-width="3" d="M495.105128 256.282146 L505.061538 256.282146" class="reactive tooltip-trigger" /><path stroke-width="2" d="M500.083333 266.838623 L500.083333 262.887506" class="reactive tooltip-trigger" /><path stroke-width="2" d="M500.083333 256.282146 L500.083333 260.252015" class="reactive tooltip-trigger" /><rect x="490.1269230769231" y="260.2520154064823" height="2.635491085184867" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="500.08333333333337" cy="267.581768727184" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="500.08333333333337" cy="187.59602087748257" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 49.3190
	474	Q1-1.5IQR: 49.6260
	475	Q1: 51.2583
	476	Median: 51.7910
	477	Q3: 52.3470
	478	Q3+1.5IQR: 53.9870
	479	Max: 82.3620</desc><desc class="x centered">500.08333333333337</desc><desc class="y centered">261.5716380111093</desc><desc class="x_label" /></g></g></g><g class="series serie-22 color-22"><g class="boxes"><g class="box"><path stroke-width="3" d="M517.733333 262.532274 L527.689744 262.532274" class="reactive tooltip-trigger" /><path stroke-width="3" d="M512.755128 256.591987 L532.667949 256.591987" class="reactive tooltip-trigger" /><path stroke-width="3" d="M517.733333 250.501614 L527.689744 250.501614" class="reactive tooltip-trigger" /><path stroke-width="2" d="M522.711538 262.532274 L522.711538 258.090369" class="reactive tooltip-trigger" /><path stroke-width="2" d="M522.711538 250.501614 L522.711538 255.079074" class="reactive tooltip-trigger" /><rect x="512.7551282051282" y="255.07907373168382" height="3.011295372282575" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="522.7115384615385" cy="264.50995648742946" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="522.7115384615385" cy="111.95535240960655" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 50.5880
	480	Q1-1.5IQR: 51.4050
	481	Q1: 53.2400
	482	Median: 53.8590
	483	Q3: 54.4840
	484	Q3+1.5IQR: 56.3750
	485	Max: 113.6100</desc><desc class="x centered">522.7115384615385</desc><desc class="y centered">256.55906339322286</desc><desc class="x_label" /></g></g></g><g class="series serie-23 color-23"><g class="boxes"><g class="box"><path stroke-width="3" d="M540.361538 259.867136 L550.317949 259.867136" class="reactive tooltip-trigger" /><path stroke-width="3" d="M535.383333 252.655995 L555.296154 252.655995" class="reactive tooltip-trigger" /><path stroke-width="3" d="M540.361538 245.154378 L550.317949 245.154378" class="reactive tooltip-trigger" /><path stroke-width="2" d="M545.339744 259.867136 L545.339744 254.466649" class="reactive tooltip-trigger" /><path stroke-width="2" d="M545.339744 245.154378 L545.339744 250.775155" class="reactive tooltip-trigger" /><rect x="535.3833333333333" y="250.7751549782874" height="3.691493690609036" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="545.3397435897435" cy="260.31253227395433" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="545.3397435897435" cy="124.63716746977224" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 52.3220
	486	Q1-1.5IQR: 52.5060
	487	Q1: 54.7370
	488	Median: 55.4850
	489	Q3: 56.2620
	490	Q3+1.5IQR: 58.5840
	491	Max: 108.3710</desc><desc class="x centered">545.3397435897435</desc><desc class="y centered">252.5838625417835</desc><desc class="x_label" /></g></g></g><g class="series serie-24 color-24"><g class="boxes"><g class="box"><path stroke-width="3" d="M562.989744 252.317102 L572.946154 252.317102" class="reactive tooltip-trigger" /><path stroke-width="3" d="M558.011538 246.173478 L577.924359 246.173478" class="reactive tooltip-trigger" /><path stroke-width="3" d="M562.989744 239.988701 L572.946154 239.988701" class="reactive tooltip-trigger" /><path stroke-width="2" d="M567.967949 252.317102 L567.967949 247.715434" class="reactive tooltip-trigger" /><path stroke-width="2" d="M567.967949 239.988701 L567.967949 244.638787" class="reactive tooltip-trigger" /><rect x="558.0115384615385" y="244.6387868868453" height="3.0766468963672082" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="567.9679487179487" cy="253.098978031584" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="567.9679487179487" cy="101.56589550642235" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 55.3020
	492	Q1-1.5IQR: 55.6250
	493	Q1: 57.5260
	494	Median: 58.1630
	495	Q3: 58.7970
	496	Q3+1.5IQR: 60.7180
	497	Max: 117.9020</desc><desc class="x centered">567.9679487179487</desc><desc class="y centered">246.16670041229338</desc><desc class="x_label" /></g></g></g><g class="series serie-25 color-25"><g class="boxes"><g class="box"><path stroke-width="3" d="M585.617949 245.410976 L595.574359 245.410976" class="reactive tooltip-trigger" /><path stroke-width="3" d="M580.639744 239.361755 L600.552564 239.361755" class="reactive tooltip-trigger" /><path stroke-width="3" d="M585.617949 232.528245 L595.574359 232.528245" class="reactive tooltip-trigger" /><path stroke-width="2" d="M590.596154 245.410976 L590.596154 240.831085" class="reactive tooltip-trigger" /><path stroke-width="2" d="M590.596154 232.528245 L590.596154 237.517214" class="reactive tooltip-trigger" /><rect x="580.6397435897436" y="237.51721440826213" height="3.3138709033464977" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="590.5961538461538" cy="245.93141907425536" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="590.5961538461538" cy="176.27218952881162" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 58.2630
	498	Q1-1.5IQR: 58.4780
	499	Q1: 60.3700
	500	Median: 60.9770
	501	Q3: 61.7390
	502	Q3+1.5IQR: 63.8000
	503	Max: 87.0400</desc><desc class="x centered">590.5961538461538</desc><desc class="y centered">239.12985507068953</desc><desc class="x_label" /></g></g></g><g class="series serie-26 color-26"><g class="boxes"><g class="box"><path stroke-width="3" d="M608.246154 85.008606 L618.202564 85.008606" class="reactive tooltip-trigger" /><path stroke-width="3" d="M603.267949 77.925763 L623.180769 77.925763" class="reactive tooltip-trigger" /><path stroke-width="3" d="M608.246154 70.704944 L618.202564 70.704944" class="reactive tooltip-trigger" /><path stroke-width="2" d="M613.224359 85.008606 L613.224359 79.700109" class="reactive tooltip-trigger" /><path stroke-width="2" d="M613.224359 70.704944 L613.224359 76.107853" class="reactive tooltip-trigger" /><rect x="603.2679487179488" y="76.1078530845532" height="3.5922555387548414" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="613.224358974359" cy="86.40290649249584" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="613.224358974359" cy="-191.30930655701763" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 124.1660
	504	Q1-1.5IQR: 124.7420
	505	Q1: 126.9350
	506	Median: 127.6680
	507	Q3: 128.4190
	508	Q3+1.5IQR: 130.6510
	509	Max: 238.8920</desc><desc class="x centered">613.224358974359</desc><desc class="y centered">77.88945486835217</desc><desc class="x_label" /></g></g></g><g class="series serie-27 color-27"><g class="boxes"><g class="box"><path stroke-width="3" d="M630.874359 76.773530 L640.830769 76.773530" class="reactive tooltip-trigger" /><path stroke-width="3" d="M625.896154 69.480102 L645.808974 69.480102" class="reactive tooltip-trigger" /><path stroke-width="3" d="M630.874359 61.838087 L640.830769 61.838087" class="reactive tooltip-trigger" /><path stroke-width="2" d="M635.852564 76.773530 L635.852564 71.324634" class="reactive tooltip-trigger" /><path stroke-width="2" d="M635.852564 61.838087 L635.852564 67.562937" class="reactive tooltip-trigger" /><rect x="625.8961538461539" y="67.5629365640944" height="3.7616974838987858" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="635.8525641025641" cy="79.11189206876867" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="635.8525641025641" cy="7.993001315929121" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 127.1780
	510	Q1-1.5IQR: 128.1440
	511	Q1: 130.3950
	512	Median: 131.1570
	513	Q3: 131.9490
	514	Q3+1.5IQR: 134.3140
	515	Max: 156.5580</desc><desc class="x centered">635.8525641025641</desc><desc class="y centered">69.39585791961628</desc><desc class="x_label" /></g></g></g><g class="series serie-28 color-28"><g class="boxes"><g class="box"><path stroke-width="3" d="M653.502564 43.586342 L663.458974 43.586342" class="reactive tooltip-trigger" /><path stroke-width="3" d="M648.524359 36.597903 L668.437179 36.597903" class="reactive tooltip-trigger" /><path stroke-width="3" d="M653.502564 29.515061 L663.458974 29.515061" class="reactive tooltip-trigger" /><path stroke-width="2" d="M658.480769 43.586342 L658.480769 38.345013" class="reactive tooltip-trigger" /><path stroke-width="2" d="M658.480769 29.515061 L658.480769 34.819932" class="reactive tooltip-trigger" /><rect x="648.524358974359" y="34.81993184556006" height="3.525081111357167" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="658.4807692307692" cy="45.13071990323431" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="658.4807692307692" cy="-126.41635273424919" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 141.2160
	516	Q1-1.5IQR: 141.8540
	517	Q1: 144.0192
	518	Median: 144.7410
	519	Q3: 145.4755
	520	Q3+1.5IQR: 147.6670
	521	Max: 212.0840</desc><desc class="x centered">658.4807692307692</desc><desc class="y centered">36.57285020169803</desc><desc class="x_label" /></g></g></g><g class="series serie-29 color-29"><g class="boxes"><g class="box"><path stroke-width="3" d="M676.130769 22.988970 L686.087179 22.988970" class="reactive tooltip-trigger" /><path stroke-width="3" d="M671.152564 16.257129 L691.065385 16.257129" class="reactive tooltip-trigger" /><path stroke-width="3" d="M676.130769 9.251747 L686.087179 9.251747" class="reactive tooltip-trigger" /><path stroke-width="2" d="M681.108974 22.988970 L681.108974 17.908624" class="reactive tooltip-trigger" /><path stroke-width="2" d="M681.108974 9.251747 L681.108974 14.470078" class="reactive tooltip-trigger" /><rect x="671.1525641025642" y="14.470078402546164" height="3.4385460417684044" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="681.1089743589744" cy="26.690150732592883" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="681.1089743589744" cy="-243.99972799019167" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 148.8340
	522	Q1-1.5IQR: 150.3630
	523	Q1: 152.4617
	524	Median: 153.1440
	525	Q3: 153.8822
	526	Q3+1.5IQR: 156.0380
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+528

-0

images/jsonpickle-3.0.0-dev.svg less more

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	233	text.classList.add('color-' + serie_index);
	234	}
	235	if (name === 'xlink') {
	236	a = document.createElementNS(svg_ns, 'a');
	237	a.setAttributeNS(xlink_ns, 'href', key);
	238	a.textContent = void 0;
	239	a.appendChild(text);
	240	text.textContent = 'Link >';
	241	text_group.appendChild(a);
	242	} else {
	243	text_group.appendChild(text);
	244	}
	245	dy += text.getBBox().height + padding / 2;
	246	baseline = padding;
	247	if (text.style.dominantBaseline !== void 0) {
	248	text.style.dominantBaseline = 'text-before-edge';
	249	} else {
	250	baseline += text.getBBox().height * .8;
	251	}
	252	text.setAttribute('y', baseline);
	253	texts[name] = text;
	254	}
	255	}
	256	w = text_group.getBBox().width + 2 * padding;
	257	h = text_group.getBBox().height + 2 * padding;
	258	rect.setAttribute('width', w);
	259	rect.setAttribute('height', h);
	260	if (texts.value) {
	261	texts.value.setAttribute('dx', (w - texts.value.getBBox().width) / 2 - padding);
	262	}
	263	if (texts.x_label) {
	264	texts.x_label.setAttribute('dx', w - texts.x_label.getBBox().width - 2 * padding);
	265	}
	266	if (texts.xlink) {
	267	texts.xlink.setAttribute('dx', w - texts.xlink.getBBox().width - 2 * padding);
	268	}
	269	x_elt = sibl(el, '.x').one();
	270	y_elt = sibl(el, '.y').one();
	271	x = parseInt(x_elt.textContent);
	272	if (x_elt.classList.contains('centered')) {
	273	x -= w / 2;
	274	} else if (x_elt.classList.contains('left')) {
	275	x -= w;
	276	} else if (x_elt.classList.contains('auto')) {
	277	x = xconvert(el.getBBox().x + el.getBBox().width / 2) - w / 2;
	278	}
	279	y = parseInt(y_elt.textContent);
	280	if (y_elt.classList.contains('centered')) {
	281	y -= h / 2;
	282	} else if (y_elt.classList.contains('top')) {
	283	y -= h;
	284	} else if (y_elt.classList.contains('auto')) {
	285	y = yconvert(el.getBBox().y + el.getBBox().height / 2) - h / 2;
	286	}
	287	_ref7 = get_translation(tt.parentElement), plot_x = _ref7[0], plot_y = _ref7[1];
	288	if (x + w + plot_x > config.width) {
	289	x = config.width - w - plot_x;
	290	}
	291	if (y + h + plot_y > config.height) {
	292	y = config.height - h - plot_y;
	293	}
	294	if (x + plot_x < 0) {
	295	x = -plot_x;
	296	}
	297	if (y + plot_y < 0) {
	298	y = -plot_y;
	299	}
	300	_ref8 = get_translation(tt), current_x = _ref8[0], current_y = _ref8[1];
	301	if (current_x === x && current_y === y) {
	302	return el;
	303	}
	304	tt.setAttribute('transform', "translate(" + x + " " + y + ")");
	305	return el;
	306	};
	307	return untooltip = function(ms) {
	308	return tooltip_timeout = setTimeout(function() {
	309	tt.style.display = 'none';
	310	tt.style.opacity = 0;
	311	if (tooltip_el != null) {
	312	tooltip_el.classList.remove('active');
	313	}
	314	return tooltip_timeout = null;
	315	}, ms);
	316	};
	317	};
	318
	319	init_svg = function() {
	320	var chart, charts, _i, _len, _results;
	321	charts = $('.pygal-chart');
	322	if (charts.length) {
	323	_results = [];
	324	for (_i = 0, _len = charts.length; _i < _len; _i++) {
	325	chart = charts[_i];
	326	_results.push(init(chart));
	327	}
	328	return _results;
	329	}
	330	};
	331
	332	if (document.readyState !== 'loading') {
	333	init_svg();
	334	} else {
	335	document.addEventListener('DOMContentLoaded', function() {
	336	return init_svg();
	337	});
	338	}
	339
	340	window.pygal = window.pygal \|\| {};
	341
	342	window.pygal.init = init;
	343
	344	window.pygal.init_svg = init_svg;
	345
	346	}).call(this);
	347	</script></defs><title>Speed in Microseconds (us)</title><g class="graph custombox-graph vertical"><rect x="0" y="0" width="800" height="600" class="background" /><g transform="translate(74, 46)" class="plot"><rect x="0" y="0" width="706.0" height="360.0" class="background" /><g class="axis y always_show"><path d="M0.000000 360.000000 h706.000000" class="line" /><g class="guides"><path d="M0.000000 348.335090 h706.000000" class="guide line" /><text x="-5" y="351.8350895679663" class="">16</text><title>16</title></g><g class="guides"><path d="M0.000000 329.367756 h706.000000" class="guide line" /><text x="-5" y="332.8677555321391" class="">24</text><title>24</title></g><g class="guides"><path d="M0.000000 310.400421 h706.000000" class="guide line" /><text x="-5" y="313.9004214963119" class="">32</text><title>32</title></g><g class="guides"><path d="M0.000000 291.433087 h706.000000" class="guide line" /><text x="-5" y="294.93308746048467" class="">40</text><title>40</title></g><g class="guides"><path d="M0.000000 272.465753 h706.000000" class="guide line" /><text x="-5" y="275.9657534246575" class="">48</text><title>48</title></g><g class="guides"><path d="M0.000000 253.498419 h706.000000" class="guide line" /><text x="-5" y="256.9984193888303" class="">56</text><title>56</title></g><g class="guides"><path d="M0.000000 234.531085 h706.000000" class="guide line" /><text x="-5" y="238.03108535300314" class="">64</text><title>64</title></g><g class="guides"><path d="M0.000000 215.563751 h706.000000" class="guide line" /><text x="-5" y="219.06375131717596" class="">72</text><title>72</title></g><g class="guides"><path d="M0.000000 196.596417 h706.000000" class="guide line" /><text x="-5" y="200.09641728134875" class="">80</text><title>80</title></g><g class="guides"><path d="M0.000000 177.629083 h706.000000" class="guide line" /><text x="-5" y="181.12908324552157" class="">88</text><title>88</title></g><g class="guides"><path d="M0.000000 158.661749 h706.000000" class="guide line" /><text x="-5" y="162.16174920969436" class="">96</text><title>96</title></g><g class="guides"><path d="M0.000000 139.694415 h706.000000" class="guide line" /><text x="-5" y="143.1944151738672" class="">104</text><title>104</title></g><g class="guides"><path d="M0.000000 120.727081 h706.000000" class="guide line" /><text x="-5" y="124.22708113804003" class="">112</text><title>112</title></g><g class="guides"><path d="M0.000000 101.759747 h706.000000" class="guide line" /><text x="-5" y="105.25974710221283" class="">120</text><title>120</title></g><g class="guides"><path d="M0.000000 82.792413 h706.000000" class="guide line" /><text x="-5" y="86.29241306638562" class="">128</text><title>128</title></g><g class="guides"><path d="M0.000000 63.825079 h706.000000" class="guide line" /><text x="-5" y="67.32507903055847" class="">136</text><title>136</title></g><g class="guides"><path d="M0.000000 44.857745 h706.000000" class="guide line" /><text x="-5" y="48.35774499473126" class="">144</text><title>144</title></g><g class="guides"><path d="M0.000000 25.890411 h706.000000" class="guide line" /><text x="-5" y="29.390410958904056" class="">152</text><title>152</title></g><g class="guides"><path d="M0.000000 6.923077 h706.000000" class="guide line" /><text x="-5" y="10.423076923076906" class="">160</text><title>160</title></g></g><g class="axis x"><path d="M0.000000 0.000000 v360.000000" class="line" /><g class="guides"><path d="M24.891026 0.000000 v360.000000" class="guide line" /><text x="24.89102564102564" y="375.0" class="backwards" transform="rotate(270 24.891026 375.000000)">simple_tuple_d</text></g><g class="guides"><path d="M47.519231 0.000000 v360.000000" class="guide line" /><text x="47.51923076923077" y="375.0" class="backwards" transform="rotate(270 47.519231 375.000000)">simple_set_d</text></g><g class="guides"><path d="M70.147436 0.000000 v360.000000" class="guide line" /><text x="70.1474358974359" y="375.0" class="backwards" transform="rotate(270 70.147436 375.000000)">simple_list_e</text></g><g class="guides"><path d="M92.775641 0.000000 v360.000000" class="guide line" /><text x="92.77564102564102" y="375.0" class="backwards" transform="rotate(270 92.775641 375.000000)">simple_tuple_e</text></g><g class="guides"><path d="M115.403846 0.000000 v360.000000" class="guide line" /><text x="115.40384615384615" y="375.0" class="backwards" transform="rotate(270 115.403846 375.000000)">simple_set_e</text></g><g class="guides"><path d="M138.032051 0.000000 v360.000000" class="guide line" /><text x="138.03205128205127" y="375.0" class="backwards" transform="rotate(270 138.032051 375.000000)">simple_dict_d</text></g><g class="guides"><path d="M160.660256 0.000000 v360.000000" class="guide line" /><text x="160.6602564102564" y="375.0" class="backwards" transform="rotate(270 160.660256 375.000000)">simple_list_d</text></g><g class="guides"><path d="M183.288462 0.000000 v360.000000" class="guide line" /><text x="183.28846153846155" y="375.0" class="backwards" transform="rotate(270 183.288462 375.000000)">simple_dict_e</text></g><g class="guides"><path d="M205.916667 0.000000 v360.000000" class="guide line" /><text x="205.91666666666666" y="375.0" class="backwards" transform="rotate(270 205.916667 375.000000)">complex_homog_tuple_d</text></g><g class="guides"><path d="M228.544872 0.000000 v360.000000" class="guide line" /><text x="228.5448717948718" y="375.0" class="backwards" transform="rotate(270 228.544872 375.000000)">complex_homog_set_d</text></g><g class="guides"><path d="M251.173077 0.000000 v360.000000" class="guide line" /><text x="251.17307692307688" y="375.0" class="backwards" transform="rotate(270 251.173077 375.000000)">complex_heterog_set_d</text></g><g class="guides"><path d="M273.801282 0.000000 v360.000000" class="guide line" /><text x="273.8012820512821" y="375.0" class="backwards" transform="rotate(270 273.801282 375.000000)">complex_heterog_tuple_d</text></g><g class="guides"><path d="M296.429487 0.000000 v360.000000" class="guide line" /><text x="296.4294871794872" y="375.0" class="backwards" transform="rotate(270 296.429487 375.000000)">complex_homog_list_d</text></g><g class="guides"><path d="M319.057692 0.000000 v360.000000" class="guide line" /><text x="319.05769230769226" y="375.0" class="backwards" transform="rotate(270 319.057692 375.000000)">complex_homog_dict_d</text></g><g class="guides"><path d="M341.685897 0.000000 v360.000000" class="guide line" /><text x="341.6858974358974" y="375.0" class="backwards" transform="rotate(270 341.685897 375.000000)">complex_homog_list_e</text></g><g class="guides"><path d="M364.314103 0.000000 v360.000000" class="guide line" /><text x="364.3141025641026" y="375.0" class="backwards" transform="rotate(270 364.314103 375.000000)">complex_heterog_dict_d</text></g><g class="guides"><path d="M386.942308 0.000000 v360.000000" class="guide line" /><text x="386.9423076923077" y="375.0" class="backwards" transform="rotate(270 386.942308 375.000000)">complex_heterog_list_d</text></g><g class="guides"><path d="M409.570513 0.000000 v360.000000" class="guide line" /><text x="409.5705128205129" y="375.0" class="backwards" transform="rotate(270 409.570513 375.000000)">complex_homog_tuple_e</text></g><g class="guides"><path d="M432.198718 0.000000 v360.000000" class="guide line" /><text x="432.19871794871796" y="375.0" class="backwards" transform="rotate(270 432.198718 375.000000)">complex_homog_set_e</text></g><g class="guides"><path d="M454.826923 0.000000 v360.000000" class="guide line" /><text x="454.8269230769231" y="375.0" class="backwards" transform="rotate(270 454.826923 375.000000)">complex_heterog_set_e</text></g><g class="guides"><path d="M477.455128 0.000000 v360.000000" class="guide line" /><text x="477.4551282051282" y="375.0" class="backwards" transform="rotate(270 477.455128 375.000000)">complex_heterog_list_e</text></g><g class="guides"><path d="M500.083333 0.000000 v360.000000" class="guide line" /><text x="500.08333333333337" y="375.0" class="backwards" transform="rotate(270 500.083333 375.000000)">complex_heterog_tuple_e</text></g><g class="guides"><path d="M522.711538 0.000000 v360.000000" class="guide line" /><text x="522.7115384615385" y="375.0" class="backwards" transform="rotate(270 522.711538 375.000000)">complex_homog_dict_e</text></g><g class="guides"><path d="M545.339744 0.000000 v360.000000" class="guide line" /><text x="545.3397435897435" y="375.0" class="backwards" transform="rotate(270 545.339744 375.000000)">simple_cls_d</text></g><g class="guides"><path d="M567.967949 0.000000 v360.000000" class="guide line" /><text x="567.9679487179487" y="375.0" class="backwards" transform="rotate(270 567.967949 375.000000)">complex_heterog_dict_e</text></g><g class="guides"><path d="M590.596154 0.000000 v360.000000" class="guide line" /><text x="590.5961538461538" y="375.0" class="backwards" transform="rotate(270 590.596154 375.000000)">simple_cls_e</text></g><g class="guides"><path d="M613.224359 0.000000 v360.000000" class="guide line" /><text x="613.224358974359" y="375.0" class="backwards" transform="rotate(270 613.224359 375.000000)">complex_cls_d</text></g><g class="guides"><path d="M635.852564 0.000000 v360.000000" class="guide line" /><text x="635.8525641025641" y="375.0" class="backwards" transform="rotate(270 635.852564 375.000000)">state_cls_d</text></g><g class="guides"><path d="M658.480769 0.000000 v360.000000" class="guide line" /><text x="658.4807692307692" y="375.0" class="backwards" transform="rotate(270 658.480769 375.000000)">complex_cls_e</text></g><g class="guides"><path d="M681.108974 0.000000 v360.000000" class="guide line" /><text x="681.1089743589743" y="375.0" class="backwards" transform="rotate(270 681.108974 375.000000)">state_cls_e</text></g></g><g class="series serie-0 color-0"><g class="boxes"><g class="box"><path stroke-width="3" d="M19.912821 351.855899 L29.869231 351.855899" class="reactive tooltip-trigger" /><path stroke-width="3" d="M14.934615 350.786624 L34.847436 350.786624" class="reactive tooltip-trigger" /><path stroke-width="3" d="M19.912821 349.698364 L29.869231 349.698364" class="reactive tooltip-trigger" /><path stroke-width="2" d="M24.891026 351.855899 L24.891026 351.049783" class="reactive tooltip-trigger" /><path stroke-width="2" d="M24.891026 349.698364 L24.891026 350.509224" class="reactive tooltip-trigger" /><rect x="14.934615384615384" y="350.5092242894988" height="0.5405589906146133" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="24.891025641025642" cy="352.23525068401756" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="24.891025641025642" cy="300.4639122264707" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 14.3550
	348	Q1-1.5IQR: 14.5150
	349	Q1: 14.8550
	350	Median: 14.9660
	351	Q3: 15.0830
	352	Q3+1.5IQR: 15.4250
	353	Max: 36.1910</desc><desc class="x centered">24.891025641025642</desc><desc class="y centered">350.7799790413104</desc><desc class="x_label" /></g></g></g><g class="series serie-1 color-1"><g class="boxes"><g class="box"><path stroke-width="3" d="M42.541026 351.142256 L52.497436 351.142256" class="reactive tooltip-trigger" /><path stroke-width="3" d="M37.562821 350.163063 L57.475641 350.163063" class="reactive tooltip-trigger" /><path stroke-width="3" d="M42.541026 349.160169 L52.497436 349.160169" class="reactive tooltip-trigger" /><path stroke-width="2" d="M47.519231 351.142256 L47.519231 350.400157" class="reactive tooltip-trigger" /><path stroke-width="2" d="M47.519231 349.160169 L47.519231 349.904631" class="reactive tooltip-trigger" /><rect x="37.562820512820515" y="349.9046307383007" height="0.4955260648595754" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="47.519230769230774" cy="351.2489511193418" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="47.519230769230774" cy="325.1380396336886" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 14.7710
	354	Q1-1.5IQR: 14.8160
	355	Q1: 15.1290
	356	Median: 15.2290
	357	Q3: 15.3380
	358	Q3+1.5IQR: 15.6520
	359	Max: 25.7840</desc><desc class="x centered">47.519230769230774</desc><desc class="y centered">350.1540550121594</desc><desc class="x_label" /></g></g></g><g class="series serie-2 color-2"><g class="boxes"><g class="box"><path stroke-width="3" d="M65.169231 349.413857 L75.125641 349.413857" class="reactive tooltip-trigger" /><path stroke-width="3" d="M60.191026 347.955743 L80.103846 347.955743" class="reactive tooltip-trigger" /><path stroke-width="3" d="M65.169231 346.381453 L75.125641 346.381453" class="reactive tooltip-trigger" /><path stroke-width="2" d="M70.147436 349.413857 L70.147436 348.323234" class="reactive tooltip-trigger" /><path stroke-width="2" d="M70.147436 346.381453 L70.147436 347.547945" class="reactive tooltip-trigger" /><rect x="60.19102564102564" y="347.54794500027737" height="0.7752891268912094" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="70.1474358974359" cy="349.60827251266954" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="70.1474358974359" cy="280.3537911975592" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 15.4630
	360	Q1-1.5IQR: 15.5450
	361	Q1: 16.0050
	362	Median: 16.1600
	363	Q3: 16.3320
	364	Q3+1.5IQR: 16.8240
	365	Max: 44.6730</desc><desc class="x centered">70.1474358974359</desc><desc class="y centered">347.9244464806387</desc><desc class="x_label" /></g></g></g><g class="series serie-3 color-3"><g class="boxes"><g class="box"><path stroke-width="3" d="M87.797436 347.751848 L97.753846 347.751848" class="reactive tooltip-trigger" /><path stroke-width="3" d="M82.819231 346.407536 L102.732051 346.407536" class="reactive tooltip-trigger" /><path stroke-width="3" d="M87.797436 345.008695 L97.753846 345.008695" class="reactive tooltip-trigger" /><path stroke-width="2" d="M92.775641 347.751848 L92.775641 346.729978" class="reactive tooltip-trigger" /><path stroke-width="2" d="M92.775641 345.008695 L92.775641 346.042417" class="reactive tooltip-trigger" /><rect x="82.81923076923077" y="346.04241692293994" height="0.687560743850554" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="92.77564102564102" cy="348.35168914001406" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="92.77564102564102" cy="312.5864032248488" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 15.9930
	366	Q1-1.5IQR: 16.2460
	367	Q1: 16.6770
	368	Median: 16.8130
	369	Q3: 16.9670
	370	Q3+1.5IQR: 17.4030
	371	Max: 31.0780</desc><desc class="x centered">92.77564102564102</desc><desc class="y centered">346.38809487074457</desc><desc class="x_label" /></g></g></g><g class="series serie-4 color-4"><g class="boxes"><g class="box"><path stroke-width="3" d="M110.425641 348.000784 L120.382051 348.000784" class="reactive tooltip-trigger" /><path stroke-width="3" d="M105.447436 346.535562 L125.360256 346.535562" class="reactive tooltip-trigger" /><path stroke-width="3" d="M110.425641 345.013431 L120.382051 345.013431" class="reactive tooltip-trigger" /><path stroke-width="2" d="M115.403846 348.000784 L115.403846 346.884087" class="reactive tooltip-trigger" /><path stroke-width="2" d="M115.403846 345.013431 L115.403846 346.136653" class="reactive tooltip-trigger" /><rect x="105.4474358974359" y="346.13665312871234" height="0.747433575516709" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="115.40384615384615" cy="348.2947791143231" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="115.40384615384615" cy="306.66859721144937" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 16.0170
	372	Q1-1.5IQR: 16.1410
	373	Q1: 16.6120
	374	Median: 16.7590
	375	Q3: 16.9273
	376	Q3+1.5IQR: 17.4010
	377	Max: 33.5740</desc><desc class="x centered">115.40384615384615</desc><desc class="y centered">346.5141033970133</desc><desc class="x_label" /></g></g></g><g class="series serie-5 color-5"><g class="boxes"><g class="box"><path stroke-width="3" d="M133.053846 346.891203 L143.010256 346.891203" class="reactive tooltip-trigger" /><path stroke-width="3" d="M128.075641 345.558742 L147.988462 345.558742" class="reactive tooltip-trigger" /><path stroke-width="3" d="M133.053846 344.067437 L143.010256 344.067437" class="reactive tooltip-trigger" /><path stroke-width="2" d="M138.032051 346.891203 L138.032051 345.869341" class="reactive tooltip-trigger" /><path stroke-width="2" d="M138.032051 344.067437 L138.032051 345.148581" class="reactive tooltip-trigger" /><rect x="128.07564102564103" y="345.1485810556583" height="0.7207596963943956" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="138.0320512820513" cy="346.8912026137766" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="138.0320512820513" cy="306.1967908450818" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 16.6090
	378	Q1-1.5IQR: 16.6090
	379	Q1: 17.0400
	380	Median: 17.1710
	381	Q3: 17.3440
	382	Q3+1.5IQR: 17.8000
	383	Max: 33.7730</desc><desc class="x centered">138.0320512820513</desc><desc class="y centered">345.5070607403727</desc><desc class="x_label" /></g></g></g><g class="series serie-6 color-6"><g class="boxes"><g class="box"><path stroke-width="3" d="M155.682051 345.615643 L165.638462 345.615643" class="reactive tooltip-trigger" /><path stroke-width="3" d="M150.703846 344.202579 L170.616667 344.202579" class="reactive tooltip-trigger" /><path stroke-width="3" d="M155.682051 342.644885 L165.638462 342.644885" class="reactive tooltip-trigger" /><path stroke-width="2" d="M160.660256 345.615643 L160.660256 344.601488" class="reactive tooltip-trigger" /><path stroke-width="2" d="M160.660256 342.644885 L160.660256 343.822643" class="reactive tooltip-trigger" /><rect x="150.70384615384614" y="343.8226434409485" height="0.7788449253287695" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="160.6602564102564" cy="345.6156434823275" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="160.6602564102564" cy="276.1620115786786" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 17.1470
	384	Q1-1.5IQR: 17.1470
	385	Q1: 17.5748
	386	Median: 17.7430
	387	Q3: 17.9032
	388	Q3+1.5IQR: 18.4000
	389	Max: 46.4410</desc><desc class="x centered">160.6602564102564</desc><desc class="y centered">344.17744786619835</desc><desc class="x_label" /></g></g></g><g class="series serie-7 color-7"><g class="boxes"><g class="box"><path stroke-width="3" d="M178.310256 344.866437 L188.266667 344.866437" class="reactive tooltip-trigger" /><path stroke-width="3" d="M173.332051 342.924657 L193.244872 342.924657" class="reactive tooltip-trigger" /><path stroke-width="3" d="M178.310256 340.646203 L188.266667 340.646203" class="reactive tooltip-trigger" /><path stroke-width="2" d="M183.288462 344.866437 L183.288462 343.372761" class="reactive tooltip-trigger" /><path stroke-width="2" d="M183.288462 340.646203 L183.288462 342.284509" class="reactive tooltip-trigger" /><rect x="173.33205128205125" y="342.2845094035295" height="1.0882511414666851" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="183.28846153846152" cy="344.8664373984326" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="183.28846153846152" cy="282.70574162122904" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 17.4630
	390	Q1-1.5IQR: 17.4630
	391	Q1: 18.0930
	392	Median: 18.2820
	393	Q3: 18.5520
	394	Q3+1.5IQR: 19.2430
	395	Max: 43.6810</desc><desc class="x centered">183.28846153846152</desc><desc class="y centered">342.8189133480191</desc><desc class="x_label" /></g></g></g><g class="series serie-8 color-8"><g class="boxes"><g class="box"><path stroke-width="3" d="M200.938462 323.468915 L210.894872 323.468915" class="reactive tooltip-trigger" /><path stroke-width="3" d="M195.960256 322.134082 L215.873077 322.134082" class="reactive tooltip-trigger" /><path stroke-width="3" d="M200.938462 320.737622 L210.894872 320.737622" class="reactive tooltip-trigger" /><path stroke-width="2" d="M205.916667 323.468915 L205.916667 322.449425" class="reactive tooltip-trigger" /><path stroke-width="2" d="M205.916667 320.737622 L205.916667 321.767190" class="reactive tooltip-trigger" /><rect x="195.9602564102564" y="321.76719015427017" height="0.6822345933709357" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="205.91666666666666" cy="323.57560153066026" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="205.91666666666666" cy="214.83825026841063" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 26.4430
	396	Q1-1.5IQR: 26.4880
	397	Q1: 26.9180
	398	Median: 27.0510
	399	Q3: 27.2057
	400	Q3+1.5IQR: 27.6400
	401	Max: 72.3060</desc><desc class="x centered">205.91666666666666</desc><desc class="y centered">322.11144664523425</desc><desc class="x_label" /></g></g></g><g class="series serie-9 color-9"><g class="boxes"><g class="box"><path stroke-width="3" d="M223.566667 322.231298 L233.523077 322.231298" class="reactive tooltip-trigger" /><path stroke-width="3" d="M218.588462 320.201798 L238.501282 320.201798" class="reactive tooltip-trigger" /><path stroke-width="3" d="M223.566667 318.153313 L233.523077 318.153313" class="reactive tooltip-trigger" /><path stroke-width="2" d="M228.544872 322.231298 L228.544872 320.725762" class="reactive tooltip-trigger" /><path stroke-width="2" d="M228.544872 318.153313 L228.544872 319.696784" class="reactive tooltip-trigger" /><rect x="218.58846153846153" y="319.6967839263551" height="1.0289777712714567" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="228.5448717948718" cy="322.6485753361797" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="228.5448717948718" cy="252.91518037049912" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 26.8340
	402	Q1-1.5IQR: 27.0100
	403	Q1: 27.6450
	404	Median: 27.8660
	405	Q3: 28.0790
	406	Q3+1.5IQR: 28.7300
	407	Max: 56.2460</desc><desc class="x centered">228.5448717948718</desc><desc class="y centered">320.20179097033554</desc><desc class="x_label" /></g></g></g><g class="series serie-10 color-10"><g class="boxes"><g class="box"><path stroke-width="3" d="M246.194872 320.189938 L256.151282 320.189938" class="reactive tooltip-trigger" /><path stroke-width="3" d="M241.216667 318.599054 L261.129487 318.599054" class="reactive tooltip-trigger" /><path stroke-width="3" d="M246.194872 316.493676 L256.151282 316.493676" class="reactive tooltip-trigger" /><path stroke-width="2" d="M251.173077 320.189938 L251.173077 318.990256" class="reactive tooltip-trigger" /><path stroke-width="2" d="M251.173077 316.493676 L251.173077 317.992097" class="reactive tooltip-trigger" /><rect x="241.21666666666664" y="317.9920966351342" height="0.9981594139217123" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="251.1730769230769" cy="320.18993802136544" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="251.1730769230769" cy="211.01159012475313" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 27.8710
	408	Q1-1.5IQR: 27.8710
	409	Q1: 28.3770
	410	Median: 28.5420
	411	Q3: 28.7980
	412	Q3+1.5IQR: 29.4300
	413	Max: 73.9200</desc><desc class="x centered">251.1730769230769</desc><desc class="y centered">318.4530040156783</desc><desc class="x_label" /></g></g></g><g class="series serie-11 color-11"><g class="boxes"><g class="box"><path stroke-width="3" d="M268.823077 303.294785 L278.779487 303.294785" class="reactive tooltip-trigger" /><path stroke-width="3" d="M263.844872 299.103005 L283.757692 299.103005" class="reactive tooltip-trigger" /><path stroke-width="3" d="M268.823077 294.795051 L278.779487 294.795051" class="reactive tooltip-trigger" /><path stroke-width="2" d="M273.801282 303.294785 L273.801282 300.147979" class="reactive tooltip-trigger" /><path stroke-width="2" d="M273.801282 294.795051 L273.801282 298.024233" class="reactive tooltip-trigger" /><rect x="263.84487179487184" y="298.0242334197602" height="2.1237453608147803" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="273.8012820512821" cy="304.25500144773514" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="273.8012820512821" cy="202.04241309458735" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 34.5920
	414	Q1-1.5IQR: 34.9970
	415	Q1: 36.3243
	416	Median: 36.7650
	417	Q3: 37.2200
	418	Q3+1.5IQR: 38.5820
	419	Max: 77.7030</desc><desc class="x centered">273.8012820512821</desc><desc class="y centered">299.0730106702638</desc><desc class="x_label" /></g></g></g><g class="series serie-12 color-12"><g class="boxes"><g class="box"><path stroke-width="3" d="M291.451282 301.737091 L301.407692 301.737091" class="reactive tooltip-trigger" /><path stroke-width="3" d="M286.473077 299.785831 L306.385897 299.785831" class="reactive tooltip-trigger" /><path stroke-width="3" d="M291.451282 297.727875 L301.407692 297.727875" class="reactive tooltip-trigger" /><path stroke-width="2" d="M296.429487 301.737091 L296.429487 300.236298" class="reactive tooltip-trigger" /><path stroke-width="2" d="M296.429487 297.727875 L296.429487 299.233403" class="reactive tooltip-trigger" /><rect x="286.473076923077" y="299.2334032714665" height="1.002894728275237" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="296.42948717948724" cy="302.1923105908387" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="296.42948717948724" cy="208.82323661791864" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 35.4620
	420	Q1-1.5IQR: 35.6540
	421	Q1: 36.2870
	422	Median: 36.4770
	423	Q3: 36.7100
	424	Q3+1.5IQR: 37.3450
	425	Max: 74.8430</desc><desc class="x centered">296.42948717948724</desc><desc class="y centered">299.744099592947</desc><desc class="x_label" /></g></g></g><g class="series serie-13 color-13"><g class="boxes"><g class="box"><path stroke-width="3" d="M314.079487 301.428873 L324.035897 301.428873" class="reactive tooltip-trigger" /><path stroke-width="3" d="M309.101282 297.836934 L329.014103 297.836934" class="reactive tooltip-trigger" /><path stroke-width="3" d="M314.079487 293.894099 L324.035897 293.894099" class="reactive tooltip-trigger" /><path stroke-width="2" d="M319.057692 301.428873 L319.057692 298.635335" class="reactive tooltip-trigger" /><path stroke-width="2" d="M319.057692 293.894099 L319.057692 296.741567" class="reactive tooltip-trigger" /><rect x="309.1012820512821" y="296.7415670041084" height="1.8937677895815455" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="319.0576923076924" cy="301.4288726878486" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="319.0576923076924" cy="248.52423291239006" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 35.7840
	426	Q1-1.5IQR: 35.7840
	427	Q1: 36.9623
	428	Median: 37.2990
	429	Q3: 37.7610
	430	Q3+1.5IQR: 38.9620
	431	Max: 58.0980</desc><desc class="x centered">319.0576923076924</desc><desc class="y centered">297.70736153633874</desc><desc class="x_label" /></g></g></g><g class="series serie-14 color-14"><g class="boxes"><g class="box"><path stroke-width="3" d="M336.707692 299.117229 L346.664103 299.117229" class="reactive tooltip-trigger" /><path stroke-width="3" d="M331.729487 295.364065 L351.642308 295.364065" class="reactive tooltip-trigger" /><path stroke-width="3" d="M336.707692 291.203112 L346.664103 291.203112" class="reactive tooltip-trigger" /><path stroke-width="2" d="M341.685897 299.117229 L341.685897 296.276868" class="reactive tooltip-trigger" /><path stroke-width="2" d="M341.685897 291.203112 L341.685897 294.254475" class="reactive tooltip-trigger" /><rect x="331.7294871794872" y="294.2544746764487" height="2.0223932454948113" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="341.68589743589746" cy="299.1172285009253" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="341.68589743589746" cy="215.84588893638426" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 36.7590
	432	Q1-1.5IQR: 36.7590
	433	Q1: 37.9570
	434	Median: 38.3420
	435	Q3: 38.8100
	436	Q3+1.5IQR: 40.0970
	437	Max: 71.8810</desc><desc class="x centered">341.68589743589746</desc><desc class="y centered">295.2431496611116</desc><desc class="x_label" /></g></g></g><g class="series serie-15 color-15"><g class="boxes"><g class="box"><path stroke-width="3" d="M359.335897 294.669388 L369.292308 294.669388" class="reactive tooltip-trigger" /><path stroke-width="3" d="M354.357692 290.292681 L374.270513 290.292681" class="reactive tooltip-trigger" /><path stroke-width="3" d="M359.335897 285.757113 L369.292308 285.757113" class="reactive tooltip-trigger" /><path stroke-width="2" d="M364.314103 294.669388 L364.314103 291.333510" class="reactive tooltip-trigger" /><path stroke-width="2" d="M364.314103 285.757113 L364.314103 289.107216" class="reactive tooltip-trigger" /><rect x="354.35769230769233" y="289.10721600657826" height="2.2262942427404937" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="364.3141025641026" cy="295.2692292539699" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="364.3141025641026" cy="163.77819225320627" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 38.3820
	438	Q1-1.5IQR: 38.6350
	439	Q1: 40.0420
	440	Median: 40.4810
	441	Q3: 40.9810
	442	Q3+1.5IQR: 42.3940
	443	Max: 93.8420</desc><desc class="x centered">364.3141025641026</desc><desc class="y centered">290.2319816831707</desc><desc class="x_label" /></g></g></g><g class="series serie-16 color-16"><g class="boxes"><g class="box"><path stroke-width="3" d="M381.964103 293.770817 L391.920513 293.770817" class="reactive tooltip-trigger" /><path stroke-width="3" d="M376.985897 289.275555 L396.898718 289.275555" class="reactive tooltip-trigger" /><path stroke-width="3" d="M381.964103 284.600100 L391.920513 284.600100" class="reactive tooltip-trigger" /><path stroke-width="2" d="M386.942308 293.770817 L386.942308 290.347211" class="reactive tooltip-trigger" /><path stroke-width="2" d="M386.942308 284.600100 L386.942308 288.064013" class="reactive tooltip-trigger" /><rect x="376.98589743589747" y="288.0640128852203" height="2.2831977994227373" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="386.94230769230774" cy="295.2407742411244" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="386.94230769230774" cy="180.62591457687702" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 38.3940
	444	Q1-1.5IQR: 39.0140
	445	Q1: 40.4580
	446	Median: 40.9100
	447	Q3: 41.4210
	448	Q3+1.5IQR: 42.8820
	449	Max: 86.7360</desc><desc class="x centered">386.94230769230774</desc><desc class="y centered">289.21153912195115</desc><desc class="x_label" /></g></g></g><g class="series serie-17 color-17"><g class="boxes"><g class="box"><path stroke-width="3" d="M404.592308 292.443092 L414.548718 292.443092" class="reactive tooltip-trigger" /><path stroke-width="3" d="M399.614103 288.784773 L419.526923 288.784773" class="reactive tooltip-trigger" /><path stroke-width="3" d="M404.592308 285.041097 L414.548718 285.041097" class="reactive tooltip-trigger" /><path stroke-width="2" d="M409.570513 292.443092 L409.570513 289.699948" class="reactive tooltip-trigger" /><path stroke-width="2" d="M409.570513 285.041097 L409.570513 287.837593" class="reactive tooltip-trigger" /><rect x="399.6141025641026" y="287.8375932687608" height="1.8623542834332625" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="409.5705128205129" cy="293.178083384228" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="409.5705128205129" cy="254.56296626137404" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 39.2640
	450	Q1-1.5IQR: 39.5740
	451	Q1: 40.7310
	452	Median: 41.1170
	453	Q3: 41.5165
	454	Q3+1.5IQR: 42.6960
	455	Max: 55.5510</desc><desc class="x centered">409.5705128205129</desc><desc class="y centered">288.7613004305215</desc><desc class="x_label" /></g></g></g><g class="series serie-18 color-18"><g class="boxes"><g class="box"><path stroke-width="3" d="M427.220513 291.245782 L437.176923 291.245782" class="reactive tooltip-trigger" /><path stroke-width="3" d="M422.242308 287.407270 L442.155128 287.407270" class="reactive tooltip-trigger" /><path stroke-width="3" d="M427.220513 283.462064 L437.176923 283.462064" class="reactive tooltip-trigger" /><path stroke-width="2" d="M432.198718 291.245782 L432.198718 288.350892" class="reactive tooltip-trigger" /><path stroke-width="2" d="M432.198718 283.462064 L432.198718 286.397260" class="reactive tooltip-trigger" /><rect x="422.24230769230775" y="286.39725986089667" height="1.9536319959028674" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="432.198717948718" cy="292.36248802059026" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="432.198717948718" cy="157.77028588691695" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 39.6080
	456	Q1-1.5IQR: 40.0790
	457	Q1: 41.3000
	458	Median: 41.6980
	459	Q3: 42.1240
	460	Q3+1.5IQR: 43.3620
	461	Max: 96.3760</desc><desc class="x centered">432.198717948718</desc><desc class="y centered">287.37265353947305</desc><desc class="x_label" /></g></g></g><g class="series serie-19 color-19"><g class="boxes"><g class="box"><path stroke-width="3" d="M449.848718 279.848786 L459.805128 279.848786" class="reactive tooltip-trigger" /><path stroke-width="3" d="M444.870513 276.076664 L464.783333 276.076664" class="reactive tooltip-trigger" /><path stroke-width="3" d="M449.848718 272.254748 L459.805128 272.254748" class="reactive tooltip-trigger" /><path stroke-width="2" d="M454.826923 279.848786 L454.826923 277.008425" class="reactive tooltip-trigger" /><path stroke-width="2" d="M454.826923 272.254748 L454.826923 275.109323" class="reactive tooltip-trigger" /><rect x="444.87051282051283" y="275.10932273426" height="1.8991025654060536" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="454.8269230769231" cy="280.93703702011453" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="454.8269230769231" cy="162.65200684484222" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 44.4270
	462	Q1-1.5IQR: 44.8860
	463	Q1: 46.0840
	464	Median: 46.4770
	465	Q3: 46.8850
	466	Q3+1.5IQR: 48.0890
	467	Max: 94.3170</desc><desc class="x centered">454.8269230769231</desc><desc class="y centered">276.05958905805574</desc><desc class="x_label" /></g></g></g><g class="series serie-20 color-20"><g class="boxes"><g class="box"><path stroke-width="3" d="M472.476923 266.453108 L482.433333 266.453108" class="reactive tooltip-trigger" /><path stroke-width="3" d="M467.498718 261.590354 L487.411538 261.590354" class="reactive tooltip-trigger" /><path stroke-width="3" d="M472.476923 256.585360 L482.433333 256.585360" class="reactive tooltip-trigger" /><path stroke-width="2" d="M477.455128 266.453108 L477.455128 262.781150" class="reactive tooltip-trigger" /><path stroke-width="2" d="M477.455128 256.585360 L477.455128 260.310066" class="reactive tooltip-trigger" /><rect x="467.49871794871797" y="260.31006591739924" height="2.4710836875138398" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="477.45512820512823" cy="267.58878100643057" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="477.45512820512823" cy="224.9596957499367" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 50.0570
	468	Q1-1.5IQR: 50.5360
	469	Q1: 52.0848
	470	Median: 52.5870
	471	Q3: 53.1270
	472	Q3+1.5IQR: 54.6980
	473	Max: 68.0370</desc><desc class="x centered">477.45512820512823</desc><desc class="y centered">261.54400732840884</desc><desc class="x_label" /></g></g></g><g class="series serie-21 color-21"><g class="boxes"><g class="box"><path stroke-width="3" d="M495.105128 265.051903 L505.061538 265.051903" class="reactive tooltip-trigger" /><path stroke-width="3" d="M490.126923 260.037412 L510.039744 260.037412" class="reactive tooltip-trigger" /><path stroke-width="3" d="M495.105128 254.963648 L505.061538 254.963648" class="reactive tooltip-trigger" /><path stroke-width="2" d="M500.083333 265.051903 L500.083333 261.301112" class="reactive tooltip-trigger" /><path stroke-width="2" d="M500.083333 254.963648 L500.083333 258.766597" class="reactive tooltip-trigger" /><rect x="490.1269230769231" y="258.7665971041558" height="2.534514473953834" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="500.08333333333337" cy="266.05716988609686" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="500.08333333333337" cy="191.31638268720812" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 50.7030
	474	Q1-1.5IQR: 51.1270
	475	Q1: 52.7090
	476	Median: 53.2420
	477	Q3: 53.7780
	478	Q3+1.5IQR: 55.3820
	479	Max: 82.2270</desc><desc class="x centered">500.08333333333337</desc><desc class="y centered">260.02413443995795</desc><desc class="x_label" /></g></g></g><g class="series serie-22 color-22"><g class="boxes"><g class="box"><path stroke-width="3" d="M517.733333 262.296899 L527.689744 262.296899" class="reactive tooltip-trigger" /><path stroke-width="3" d="M512.755128 256.815328 L532.667949 256.815328" class="reactive tooltip-trigger" /><path stroke-width="3" d="M517.733333 251.068235 L527.689744 251.068235" class="reactive tooltip-trigger" /><path stroke-width="2" d="M522.711538 262.296899 L522.711538 258.199946" class="reactive tooltip-trigger" /><path stroke-width="2" d="M522.711538 251.068235 L522.711538 255.404636" class="reactive tooltip-trigger" /><rect x="512.7551282051282" y="255.40463604266313" height="2.7953104025368134" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="522.7115384615385" cy="263.7858319359201" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="522.7115384615385" cy="116.947839498435" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 51.6610
	480	Q1-1.5IQR: 52.2890
	481	Q1: 54.0170
	482	Median: 54.6010
	483	Q3: 55.1960
	484	Q3+1.5IQR: 57.0250
	485	Max: 113.5940</desc><desc class="x centered">522.7115384615385</desc><desc class="y centered">256.7570090457086</desc><desc class="x_label" /></g></g></g><g class="series serie-23 color-23"><g class="boxes"><g class="box"><path stroke-width="3" d="M540.361538 263.219173 L550.317949 263.219173" class="reactive tooltip-trigger" /><path stroke-width="3" d="M535.383333 256.879346 L555.296154 256.879346" class="reactive tooltip-trigger" /><path stroke-width="3" d="M540.361538 250.418600 L550.317949 250.418600" class="reactive tooltip-trigger" /><path stroke-width="2" d="M545.339744 263.219173 L545.339744 258.429926" class="reactive tooltip-trigger" /><path stroke-width="2" d="M545.339744 250.418600 L545.339744 255.233930" class="reactive tooltip-trigger" /><rect x="535.3833333333333" y="255.23392968528887" height="3.195996487480585" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="545.3397435897435" cy="263.3566951508034" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="545.3397435897435" cy="158.08798321584595" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 51.8420
	486	Q1-1.5IQR: 51.9000
	487	Q1: 53.9200
	488	Median: 54.5740
	489	Q3: 55.2680
	490	Q3+1.5IQR: 57.2990
	491	Max: 96.2420</desc><desc class="x centered">545.3397435897435</desc><desc class="y centered">256.8361948871542</desc><desc class="x_label" /></g></g></g><g class="series serie-24 color-24"><g class="boxes"><g class="box"><path stroke-width="3" d="M562.989744 250.359327 L572.946154 250.359327" class="reactive tooltip-trigger" /><path stroke-width="3" d="M558.011538 244.922806 L577.924359 244.922806" class="reactive tooltip-trigger" /><path stroke-width="3" d="M562.989744 239.400947 L572.946154 239.400947" class="reactive tooltip-trigger" /><path stroke-width="2" d="M567.967949 250.359327 L567.967949 246.270090" class="reactive tooltip-trigger" /><path stroke-width="2" d="M567.967949 239.400947 L567.967949 243.525753" class="reactive tooltip-trigger" /><rect x="558.0115384615385" y="243.52575281680618" height="2.7443367704776165" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="567.9679487179487" cy="251.525818438358" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="567.9679487179487" cy="102.89779092180538" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 56.8320
	492	Q1-1.5IQR: 57.3240
	493	Q1: 59.0487
	494	Median: 59.6170
	495	Q3: 60.2062
	496	Q3+1.5IQR: 61.9460
	497	Max: 119.5200</desc><desc class="x centered">567.9679487179487</desc><desc class="y centered">244.8957844884781</desc><desc class="x_label" /></g></g></g><g class="series serie-25 color-25"><g class="boxes"><g class="box"><path stroke-width="3" d="M585.617949 245.027139 L595.574359 245.027139" class="reactive tooltip-trigger" /><path stroke-width="3" d="M580.639744 239.462592 L600.552564 239.462592" class="reactive tooltip-trigger" /><path stroke-width="3" d="M585.617949 233.592208 L595.574359 233.592208" class="reactive tooltip-trigger" /><path stroke-width="2" d="M590.596154 245.027139 L590.596154 240.828234" class="reactive tooltip-trigger" /><path stroke-width="2" d="M590.596154 233.592208 L590.596154 237.936316" class="reactive tooltip-trigger" /><rect x="580.6397435897436" y="237.9363158403209" height="2.8919185781584247" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="590.5961538461538" cy="245.50131690846922" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="590.5961538461538" cy="116.7534242242499" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 59.3730
	498	Q1-1.5IQR: 59.5730
	499	Q1: 61.3440
	500	Median: 61.9200
	501	Q3: 62.5637
	502	Q3+1.5IQR: 64.3960
	503	Max: 113.6760</desc><desc class="x centered">590.5961538461538</desc><desc class="y centered">239.36929786672152</desc><desc class="x_label" /></g></g></g><g class="series serie-26 color-26"><g class="boxes"><g class="box"><path stroke-width="3" d="M608.246154 92.984984 L618.202564 92.984984" class="reactive tooltip-trigger" /><path stroke-width="3" d="M603.267949 86.047688 L623.180769 86.047688" class="reactive tooltip-trigger" /><path stroke-width="3" d="M608.246154 78.707321 L618.202564 78.707321" class="reactive tooltip-trigger" /><path stroke-width="2" d="M613.224359 92.984984 L613.224359 87.773121" class="reactive tooltip-trigger" /><path stroke-width="2" d="M613.224359 78.707321 L613.224359 84.224445" class="reactive tooltip-trigger" /><rect x="603.2679487179488" y="84.22444534598424" height="3.5486760590127346" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="613.224358974359" cy="94.82244113357626" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="613.224358974359" cy="-187.15305636789526" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 122.9260
	504	Q1-1.5IQR: 123.7010
	505	Q1: 125.8992
	506	Median: 126.6270
	507	Q3: 127.3960
	508	Q3+1.5IQR: 129.7230
	509	Max: 241.8570</desc><desc class="x centered">613.224358974359</desc><desc class="y centered">85.94751195339848</desc><desc class="x_label" /></g></g></g><g class="series serie-27 color-27"><g class="boxes"><g class="box"><path stroke-width="3" d="M630.874359 86.552693 L640.830769 86.552693" class="reactive tooltip-trigger" /><path stroke-width="3" d="M625.896154 79.997103 L645.808974 79.997103" class="reactive tooltip-trigger" /><path stroke-width="3" d="M630.874359 72.789515 L640.830769 72.789515" class="reactive tooltip-trigger" /><path stroke-width="2" d="M635.852564 86.552693 L635.852564 81.640145" class="reactive tooltip-trigger" /><path stroke-width="2" d="M635.852564 72.789515 L635.852564 78.134154" class="reactive tooltip-trigger" /><rect x="625.8961538461539" y="78.13415399782366" height="3.505991383408343" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="635.8525641025641" cy="87.79030956105879" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="635.8525641025641" cy="-203.2492092631668" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 125.8920
	510	Q1-1.5IQR: 126.4140
	511	Q1: 128.4860
	512	Median: 129.1790
	513	Q3: 129.9648
	514	Q3+1.5IQR: 132.2190
	515	Max: 248.6460</desc><desc class="x centered">635.8525641025641</desc><desc class="y centered">79.82272224448394</desc><desc class="x_label" /></g></g></g><g class="series serie-28 color-28"><g class="boxes"><g class="box"><path stroke-width="3" d="M653.502564 41.870388 L663.458974 41.870388" class="reactive tooltip-trigger" /><path stroke-width="3" d="M648.524359 34.769495 L668.437179 34.769495" class="reactive tooltip-trigger" /><path stroke-width="3" d="M653.502564 27.376971 L663.458974 27.376971" class="reactive tooltip-trigger" /><path stroke-width="2" d="M658.480769 41.870388 L658.480769 36.499071" class="reactive tooltip-trigger" /><path stroke-width="2" d="M658.480769 27.376971 L658.480769 32.868607" class="reactive tooltip-trigger" /><rect x="648.524358974359" y="32.868607003257466" height="3.630463735749288" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="658.4807692307692" cy="44.42386944457104" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="658.4807692307692" cy="-222.35168299875966" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 144.1830
	516	Q1-1.5IQR: 145.2600
	517	Q1: 147.5255
	518	Median: 148.2550
	519	Q3: 149.0568
	520	Q3+1.5IQR: 151.3730
	521	Max: 256.7030</desc><desc class="x centered">658.4807692307692</desc><desc class="y centered">34.67690625016377</desc><desc class="x_label" /></g></g></g><g class="series serie-29 color-29"><g class="boxes"><g class="box"><path stroke-width="3" d="M676.130769 21.549265 L686.087179 21.549265" class="reactive tooltip-trigger" /><path stroke-width="3" d="M671.152564 14.519488 L691.065385 14.519488" class="reactive tooltip-trigger" /><path stroke-width="3" d="M676.130769 7.340355 L686.087179 7.340355" class="reactive tooltip-trigger" /><path stroke-width="2" d="M681.108974 21.549265 L681.108974 16.247893" class="reactive tooltip-trigger" /><path stroke-width="2" d="M681.108974 7.340355 L681.108974 12.699819" class="reactive tooltip-trigger" /><rect x="671.1525641025642" y="12.699818534630424" height="3.5480744412055287" width="19.912820512820513" class="subtle-fill reactive tooltip-trigger" /><circle cx="681.1089743589744" cy="22.229718455465274" r="3" class="subtle-fill reactive tooltip-trigger" /><circle cx="681.1089743589744" cy="-5475.27897892072" r="3" class="subtle-fill reactive tooltip-trigger" /><desc class="value">Min: 153.5440
	522	Q1-1.5IQR: 153.8310
	523	Q1: 156.0670
	524	Median: 156.7960
	525	Q3: 157.5635
	526	Q3+1.5IQR: 159.8240
	527	Max: 2472.2710</desc><desc class="x centered">681.1089743589744</desc><desc class="y centered">14.471363893089801</desc><desc class="x_label" /></g></g></g></g><g class="titles"><text x="400.0" y="26" class="title plot_title">Speed in Microseconds (us)</text><text x="427.0" y="580.0" class="title">Trial</text><text x="0" y="252.0" class="title" transform="rotate(-90 0.000000 226.000000)">Duration</text></g><g transform="translate(74, 46)" class="plot overlay"><g class="series serie-0 color-0" /><g class="series serie-1 color-1" /><g class="series serie-2 color-2" /><g class="series serie-3 color-3" /><g class="series serie-4 color-4" /><g class="series serie-5 color-5" /><g class="series serie-6 color-6" /><g class="series serie-7 color-7" /><g class="series serie-8 color-8" /><g class="series serie-9 color-9" /><g class="series serie-10 color-10" /><g class="series serie-11 color-11" /><g class="series serie-12 color-12" /><g class="series serie-13 color-13" /><g class="series serie-14 color-14" /><g class="series serie-15 color-15" /><g class="series serie-16 color-16" /><g class="series serie-17 color-17" /><g class="series serie-18 color-18" /><g class="series serie-19 color-19" /><g class="series serie-20 color-20" /><g class="series serie-21 color-21" /><g class="series serie-22 color-22" /><g class="series serie-23 color-23" /><g class="series serie-24 color-24" /><g class="series serie-25 color-25" /><g class="series serie-26 color-26" /><g class="series serie-27 color-27" /><g class="series serie-28 color-28" /><g class="series serie-29 color-29" /></g><g transform="translate(74, 46)" class="plot text-overlay"><g class="series serie-0 color-0" /><g class="series serie-1 color-1" /><g class="series serie-2 color-2" /><g class="series serie-3 color-3" /><g class="series serie-4 color-4" /><g class="series serie-5 color-5" /><g class="series serie-6 color-6" /><g class="series serie-7 color-7" /><g class="series serie-8 color-8" /><g class="series serie-9 color-9" /><g class="series serie-10 color-10" /><g class="series serie-11 color-11" /><g class="series serie-12 color-12" /><g class="series serie-13 color-13" /><g class="series serie-14 color-14" /><g class="series serie-15 color-15" /><g class="series serie-16 color-16" /><g class="series serie-17 color-17" /><g class="series serie-18 color-18" /><g class="series serie-19 color-19" /><g class="series serie-20 color-20" /><g class="series serie-21 color-21" /><g class="series serie-22 color-22" /><g class="series serie-23 color-23" /><g class="series serie-24 color-24" /><g class="series serie-25 color-25" /><g class="series serie-26 color-26" /><g class="series serie-27 color-27" /><g class="series serie-28 color-28" /><g class="series serie-29 color-29" /></g><g transform="translate(74, 46)" class="plot tooltip-overlay"><g transform="translate(0 0)" style="opacity: 0" class="tooltip"><rect rx="0" ry="0" width="0" height="0" class="tooltip-box" /><g class="text" /></g></g></g></svg>⏎

+20

-7

jsonpickle/__init__.py less more

10	10
11	11	.. warning::
12	12
13		jsonpickle can execute arbitrary Python code. Do not load jsonpickles from
14		untrusted / unauthenticated sources.
	13	The jsonpickle module is not secure. Only unpickle data you trust.
	14
	15	It is possible to construct malicious pickle data which will **execute
	16	arbitrary code during unpickling**. Never unpickle data that could have come
	17	from an untrusted source, or that could have been tampered with.
	18
	19	Consider signing data with an HMAC if you need to ensure that it has not
	20	been tampered with.
	21
	22	Safer deserialization approaches, such as reading the raw JSON
	23	directly, may be more appropriate if you are processing untrusted data.
15	24
16	25	jsonpickle can take almost any Python object and turn the object into JSON.
17	26	Additionally, it can reconstitute the object back into Python.

51	60	result = jsonpickle.decode(oneway)
52	61	assert obj.name == result['name'] == 'Awesome'
53	62
	63	.. note::
	64
	65	Please see the note in the :ref:`api-docs` when serializing dictionaries
	66	that contain non-string dictionary keys.
	67
54	68	"""
55	69	from __future__ import absolute_import, division, unicode_literals
56	70
57		from .backend import json
58		from .pickler import encode
59		from .unpickler import decode
60
61	71	# Export other names not in __all__
62	72	from .backend import JSONBackend # noqa: F401
63		from .version import __version__ # noqa: F401
	73	from .backend import json
64	74	from .handlers import register # noqa: F401
65	75	from .handlers import unregister # noqa: F401
66	76	from .pickler import Pickler # noqa: F401
	77	from .pickler import encode
67	78	from .unpickler import Unpickler # noqa: F401
	79	from .unpickler import decode
	80	from .version import __version__ # noqa: F401
68	81
69	82	__all__ = ('encode', 'decode')
70	83

+101

-106

jsonpickle/backend.py less more

0	0	from __future__ import absolute_import, division, unicode_literals
1	1
2	2	from .compat import string_types
3		from .compat import PY3_ORDERED_DICT
4	3
5	4
6	5	class JSONBackend(object):
7	6	"""Manages encoding and decoding using various backends.
8	7
9	8	It tries these modules in this order:
10		simplejson, json, demjson
	9	simplejson, json, ujson
11	10
12	11	simplejson is a fast and popular backend and is tried first.
13	12	json comes with Python and is tried second.
14		demjson is the most permissive backend and is tried last.
15	13
16	14	"""
17
18		def __init__(self, fallthrough=True):
19		# Whether we should fallthrough to the next backend
20		self._fallthrough = fallthrough
21		# The names of backends that have been successfully imported
22		self._backend_names = []
23
24		# A dictionary mapping backend names to encode/decode functions
25		self._encoders = {}
26		self._decoders = {}
27
28		# Options to pass to specific encoders
29		self._encoder_options = {}
30
31		# Options to pass to specific decoders
32		self._decoder_options = {}
33
34		# The exception class that is thrown when a decoding error occurs
35		self._decoder_exceptions = {}
36
37		# Whether we've loaded any backends successfully
38		self._verified = False
39
40		self.load_backend('simplejson')
41		self.load_backend('json')
42		self.load_backend('demjson', 'encode', 'decode', 'JSONDecodeError')
43		self.load_backend('jsonlib', 'write', 'read', 'ReadError')
44		self.load_backend('yajl')
45		self.load_backend('ujson')
46
47		# Defaults for various encoders
48		sort = not PY3_ORDERED_DICT
49		json_opts = ((), {'sort_keys': sort})
50		self._encoder_options = {
51		'ujson': ((), {'sort_keys': sort, 'escape_forward_slashes': False}),
52		'json': json_opts,
53		'simplejson': json_opts,
54		'django.util.simplejson': json_opts,
55		}
56	15
57	16	def _verify(self):
58	17	"""Ensures that we've loaded at least one JSON backend."""

61	20	raise AssertionError(
62	21	'jsonpickle requires at least one of the '
63	22	'following:\n'
64		' python2.6, simplejson, or demjson'
	23	' python2.6, simplejson'
65	24	)
	25
	26	def encode(self, obj, indent=None, separators=None):
	27	"""
	28	Attempt to encode an object into JSON.
	29
	30	This tries the loaded backends in order and passes along the last
	31	exception if no backend is able to encode the object.
	32
	33	"""
	34	self._verify()
	35
	36	if not self._fallthrough:
	37	name = self._backend_names[0]
	38	return self.backend_encode(name, obj, indent=indent, separators=separators)
	39
	40	for idx, name in enumerate(self._backend_names):
	41	try:
	42	return self.backend_encode(
	43	name, obj, indent=indent, separators=separators
	44	)
	45	except Exception as e:
	46	if idx == len(self._backend_names) - 1:
	47	raise e
	48
	49	# def dumps
	50	dumps = encode
	51
	52	def decode(self, string):
	53	"""
	54	Attempt to decode an object from a JSON string.
	55
	56	This tries the loaded backends in order and passes along the last
	57	exception if no backends are able to decode the string.
	58
	59	"""
	60	self._verify()
	61
	62	if not self._fallthrough:
	63	name = self._backend_names[0]
	64	return self.backend_decode(name, string)
	65
	66	for idx, name in enumerate(self._backend_names):
	67	try:
	68	return self.backend_decode(name, string)
	69	except self._decoder_exceptions[name] as e:
	70	if idx == len(self._backend_names) - 1:
	71	raise e
	72	else:
	73	pass # and try a more forgiving encoder
	74
	75	# def loads
	76	loads = decode
	77
	78	def __init__(self, fallthrough=True):
	79	# Whether we should fallthrough to the next backend
	80	self._fallthrough = fallthrough
	81	# The names of backends that have been successfully imported
	82	self._backend_names = []
	83
	84	# A dictionary mapping backend names to encode/decode functions
	85	self._encoders = {}
	86	self._decoders = {}
	87
	88	# Options to pass to specific encoders
	89	self._encoder_options = {}
	90
	91	# Options to pass to specific decoders
	92	self._decoder_options = {}
	93
	94	# The exception class that is thrown when a decoding error occurs
	95	self._decoder_exceptions = {}
	96
	97	# Whether we've loaded any backends successfully
	98	self._verified = False
	99
	100	self.load_backend('simplejson')
	101	self.load_backend('json')
	102	self.load_backend('ujson')
	103
	104	# Defaults for various encoders
	105	json_opts = ((), {'sort_keys': False})
	106	self._encoder_options = {
	107	'ujson': ((), {'sort_keys': False, 'escape_forward_slashes': False}),
	108	'json': json_opts,
	109	'simplejson': json_opts,
	110	'django.util.simplejson': json_opts,
	111	}
66	112
67	113	def enable_fallthrough(self, enable):
68	114	"""

80	126
81	127	"""
82	128	self._fallthrough = enable
	129
	130	def _store(self, dct, backend, obj, name):
	131	try:
	132	dct[backend] = getattr(obj, name)
	133	except AttributeError:
	134	self.remove_backend(backend)
	135	return False
	136	return True
83	137
84	138	def load_backend(self, name, dumps='dumps', loads='loads', loads_exc=ValueError):
85	139

151	205	self._backend_names.remove(name)
152	206	self._verified = bool(self._backend_names)
153	207
154		def encode(self, obj, indent=None, separators=None):
155		"""
156		Attempt to encode an object into JSON.
157
158		This tries the loaded backends in order and passes along the last
159		exception if no backend is able to encode the object.
160
161		"""
162		self._verify()
163
164		if not self._fallthrough:
165		name = self._backend_names[0]
166		return self.backend_encode(name, obj, indent=indent, separators=separators)
167
168		for idx, name in enumerate(self._backend_names):
169		try:
170		return self.backend_encode(
171		name, obj, indent=indent, separators=separators
172		)
173		except Exception as e:
174		if idx == len(self._backend_names) - 1:
175		raise e
176
177		# def dumps
178		dumps = encode
179
180	208	def backend_encode(self, name, obj, indent=None, separators=None):
181	209	optargs, optkwargs = self._encoder_options.get(name, ([], {}))
182	210	encoder_kwargs = optkwargs.copy()

187	215	encoder_args = (obj,) + tuple(optargs)
188	216	return self._encoders[name](encoder_args, *encoder_kwargs)
189	217
190		def decode(self, string):
191		"""
192		Attempt to decode an object from a JSON string.
193
194		This tries the loaded backends in order and passes along the last
195		exception if no backends are able to decode the string.
196
197		"""
198		self._verify()
199
200		if not self._fallthrough:
201		name = self._backend_names[0]
202		return self.backend_decode(name, string)
203
204		for idx, name in enumerate(self._backend_names):
205		try:
206		return self.backend_decode(name, string)
207		except self._decoder_exceptions[name] as e:
208		if idx == len(self._backend_names) - 1:
209		raise e
210		else:
211		pass # and try a more forgiving encoder, e.g. demjson
212
213		# def loads
214		loads = decode
215
216	218	def backend_decode(self, name, string):
217	219	optargs, optkwargs = self._decoder_options.get(name, ((), {}))
218	220	decoder_kwargs = optkwargs.copy()

230	232	set_preferred_backend('simplejson')
231	233
232	234	If the backend is not one of the built-in jsonpickle backends
233		(json/simplejson, or demjson) then you must load the backend
	235	(json/simplejson) then you must load the backend
234	236	prior to calling set_preferred_backend.
235	237
236	238	AssertionError is raised if the backend has not been loaded.

254	256	For example::
255	257
256	258	set_encoder_options('simplejson', sort_keys=True, indent=4)
257		set_encoder_options('demjson', compactly=False)
258	259
259	260	See the appropriate encoder's documentation for details about
260	261	the supported arguments and keyword arguments.
261	262
	263	WARNING: If you pass sort_keys=True, and the object to encode
	264	contains ``__slots__``, and you set ``warn`` to True,
	265	a TypeError will be raised!
262	266	"""
263	267	self._encoder_options[name] = (args, kwargs)
264	268

273	277	For example::
274	278
275	279	set_decoder_options('simplejson', encoding='utf8', cls=JSONDecoder)
276		set_decoder_options('demjson', strict=True)
277	280
278	281	See the appropriate decoder's documentation for details about
279	282	the supported arguments and keyword arguments.

281	284	"""
282	285	self._decoder_options[name] = (args, kwargs)
283	286
284		def _store(self, dct, backend, obj, name):
285		try:
286		dct[backend] = getattr(obj, name)
287		except AttributeError:
288		self.remove_backend(backend)
289		return False
290		return True
291
292	287
293	288	json = JSONBackend()

-27

jsonpickle/compat.py less more

0	0	from __future__ import absolute_import, division, unicode_literals
	1
	2	import queue # noqa
1	3	import sys
2		import types
3		import base64
	4	from collections.abc import Iterator as abc_iterator # noqa
4	5
5	6	PY_MAJOR = sys.version_info[0]
6		PY2 = PY_MAJOR == 2
7		PY3 = PY_MAJOR == 3
8		PY3_ORDERED_DICT = PY3 and sys.version_info[1] >= 6 # Python 3.6+
9	7
10	8	class_types = (type,)
11	9	iterator_types = (type(iter('')),)
12	10
13		if PY3:
14		import builtins
15		import queue
16		from base64 import encodebytes, decodebytes
17		from collections.abc import Iterator as abc_iterator
18
19		string_types = (str,)
20		numeric_types = (int, float)
21		ustr = str
22		else:
23		from collections import Iterator as abc_iterator # noqa
24
25		builtins = __import__('__builtin__')
26		class_types += (types.ClassType,)
27		encodebytes = base64.encodestring
28		decodebytes = base64.decodestring
29		string_types = (builtins.basestring,)
30		numeric_types = (int, float, builtins.long)
31		queue = __import__('Queue')
32		ustr = builtins.unicode
	11	string_types = (str,)
	12	numeric_types = (int, float)
	13	ustr = str
33	14
34	15
35	16	def iterator(class_):
36		if PY2 and hasattr(class_, '__next__'):
37		class_.next = class_.__next__
	17	# TODO: Replace all instances of this
38	18	return class_

-0

jsonpickle/errors.py less more

	0	"""
	1	Stores custom jsonpickle errors.
	2	"""
	3
	4
	5	class ClassNotFoundError(BaseException):
	6	def __init__(args, *kwargs):
	7	pass

+22

-0

jsonpickle/ext/gmpy.py less more

	0	import gmpy2 as gmpy
	1
	2	from ..handlers import BaseHandler, register, unregister
	3
	4	__all__ = ['register_handlers', 'unregister_handlers']
	5
	6
	7	class GmpyMPZHandler(BaseHandler):
	8	def flatten(self, obj, data):
	9	data['int'] = int(obj)
	10	return data
	11
	12	def restore(self, data):
	13	return gmpy.mpz(data['int'])
	14
	15
	16	def register_handlers():
	17	register(gmpy.mpz, GmpyMPZHandler, base=True)
	18
	19
	20	def unregister_handlers():
	21	unregister(gmpy.mpz)

+27

-11

jsonpickle/ext/numpy.py less more

0	0	from __future__ import absolute_import
	1
1	2	import ast
	3	import json
2	4	import sys
	5	import warnings
3	6	import zlib
4		import warnings
5		import json
6	7
7	8	import numpy as np
8	9
	10	from .. import compat
	11	from ..compat import numeric_types
9	12	from ..handlers import BaseHandler, register, unregister
10		from ..compat import numeric_types
11	13	from ..util import b64decode, b64encode
12		from .. import compat
13
14	14
15	15	__all__ = ['register_handlers', 'unregister_handlers']
16	16

59	59	def restore(self, data):
60	60	value = self.context.restore(data['value'], reset=False)
61	61	return self.restore_dtype(data).type(value)
	62
	63
	64	class UnpickleableNumpyGenericHandler(NumpyGenericHandler):
	65	"""
	66	From issue #381, this is used for simplifying the output of numpy arrays
	67	when unpicklable=False (the default is True).
	68	"""
	69
	70	def flatten(self, obj, data):
	71	if not self.context.unpicklable:
	72	return self.context.flatten(obj.tolist(), reset=False)
	73	else:
	74	return super(NumpyGenericHandler, self).flatten(obj, data)
	75
	76	def restore(self, data):
	77	raise NotImplementedError
62	78
63	79
64	80	class NumpyNDArrayHandler(NumpyBaseHandler):

113	129	if size_threshold is None, values are always stored as nested lists
114	130	:param compression: a compression module or None
115	131	valid values for 'compression' are {zlib, bz2, None}
116		if compresion is None, no compression is applied
	132	if compression is None, no compression is applied
117	133	"""
118	134	self.size_threshold = size_threshold
119	135	self.compression = compression

135	151	data = super(NumpyNDArrayHandlerBinary, self).flatten(obj, data)
136	152	else:
137	153	# encode as binary
138		if obj.dtype == np.object:
	154	if obj.dtype == object:
139	155	# There's a bug deep in the bowels of numpy that causes a
140	156	# segfault when round-tripping an ndarray of dtype object.
141	157	# E.g., the following will result in a segfault:
142	158	# import numpy as np
143	159	# arr = np.array([str(i) for i in range(3)],
144		# dtype=np.object)
	160	# dtype=object)
145	161	# dtype = arr.dtype
146	162	# shape = arr.shape
147	163	# buf = arr.tobytes()

187	203	buf = self.compression.decompress(buf)
188	204	# See note above about segfault bug for numpy dtype object. Those
189	205	# are saved as a list to work around that.
190		if dtype == np.object:
	206	if dtype == object:
191	207	values = json.loads(buf.decode())
192	208	arr = np.array(values, dtype=dtype, order=data.get('order', 'C'))
193	209	shape = data.get('shape', None)

231	247	def __init__(self, mode='warn', size_threshold=16, compression=zlib):
232	248	"""
233	249	:param mode: {'warn', 'raise', 'ignore'}
234		How to react when encountering array-like objects whos
	250	How to react when encountering array-like objects whose
235	251	references we cannot safely serialize
236	252	:param size_threshold: nonnegative int or None
237	253	valid values for 'size_threshold' are all nonnegative

239	255	if size_threshold is None, values are always stored as nested lists
240	256	:param compression: a compression module or None
241	257	valid values for 'compression' are {zlib, bz2, None}
242		if compresion is None, no compression is applied
	258	if compression is None, no compression is applied
243	259	"""
244	260	super(NumpyNDArrayHandlerView, self).__init__(size_threshold, compression)
245	261	self.mode = mode

+11

-6

jsonpickle/ext/pandas.py less more

0	0	from __future__ import absolute_import
1	1
	2	import zlib
	3	from io import StringIO
	4
2	5	import pandas as pd
3		from io import StringIO
4		import zlib
5
6		from .. import encode, decode
	6
	7	from .. import decode, encode
7	8	from ..handlers import BaseHandler, register, unregister
8	9	from ..util import b64decode, b64encode
9	10	from .numpy import register_handlers as register_numpy_handlers

21	22	dataframes are always stored as csv strings
22	23	:param compression: a compression module or None
23	24	valid values for 'compression' are {zlib, bz2, None}
24		if compresion is None, no compression is applied
	25	if compression is None, no compression is applied
25	26	"""
26	27	self.size_threshold = size_threshold
27	28	self.compression = compression

158	159	def restore(self, data):
159	160	buf, meta = self.pp.restore_pandas(data)
160	161	dtype = meta.get('dtype', None)
161		name_bundle = {k: v for k, v in meta.items() if k in {'name', 'names'}}
	162	name_bundle = {
	163	'name': (tuple if v is not None else lambda x: x)(v)
	164	for k, v in meta.items()
	165	if k in {'name', 'names'}
	166	}
162	167	idx = self.index_constructor(decode(buf), dtype=dtype, **name_bundle)
163	168	return idx
164	169

+11

-11

jsonpickle/handlers.py less more

7	7
8	8	"""
9	9	from __future__ import absolute_import, division, unicode_literals
	10
10	11	import array
11	12	import copy
12	13	import datetime

16	17	import threading
17	18	import uuid
18	19
19		from . import compat
20		from . import util
	20	from . import compat, util
21	21
22	22
23	23	class Registry(object):

99	99	"""
100	100	self.context = context
101	101
102		def __call__(self, context):
103		"""This permits registering either Handler instances or classes
104
105		:Parameters:
106		- `context`: reference to pickler/unpickler
107		"""
108		self.context = context
109		return self
110
111	102	def flatten(self, obj, data):
112	103	"""
113	104	Flatten `obj` into a json-friendly form and write result to `data`.

139	130	"""
140	131	registry.register(cls, self)
141	132	return cls
	133
	134	def __call__(self, context):
	135	"""This permits registering either Handler instances or classes
	136
	137	:Parameters:
	138	- `context`: reference to pickler/unpickler
	139	"""
	140	self.context = context
	141	return self
142	142
143	143
144	144	class ArrayHandler(BaseHandler):

+435

-364

jsonpickle/pickler.py less more

4	4	# This software is licensed as described in the file COPYING, which
5	5	# you should have received as part of this distribution.
6	6	from __future__ import absolute_import, division, unicode_literals
	7
7	8	import decimal
	9	import inspect
	10	import itertools
	11	import sys
8	12	import warnings
9		import sys
10		import types
11	13	from itertools import chain, islice
12	14
13		from . import compat
14		from . import util
15		from . import tags
16		from . import handlers
	15	from . import compat, handlers, tags, util
17	16	from .backend import json
18		from .compat import numeric_types, string_types, PY3, PY2
	17	from .compat import numeric_types, string_types
19	18
20	19
21	20	def encode(

35	34	fail_safe=None,
36	35	indent=None,
37	36	separators=None,
	37	include_properties=False,
38	38	):
39	39	"""Return a JSON formatted representation of value, a Python object.
40	40
41		:param unpicklable: If set to False then the output will not contain the
	41	:param unpicklable: If set to ``False`` then the output will not contain the
42	42	information necessary to turn the JSON data back into Python objects,
43		but a simpler JSON stream is produced.
	43	but a simpler JSON stream is produced. It's recommended to set this
	44	parameter to ``False`` when your code does not rely on two objects
	45	having the same ``id()`` value, and when it is sufficient for those two
	46	objects to be equal by ``==``, such as when serializing sklearn
	47	instances. If you experience (de)serialization being incorrect when you
	48	use numpy, pandas, or sklearn handlers, this should be set to ``False``.
	49	If you want the output to not include the dtype for numpy arrays, add
	50	``jsonpickle.register(numpy.generic,
	51	UnpicklableNumpyGenericHandler, base=True)`` before your pickling code.
44	52	:param max_depth: If set to a non-negative integer then jsonpickle will
45	53	not recurse deeper than 'max_depth' steps into the object. Anything
46	54	deeper than 'max_depth' is represented using a Python repr() of the

99	107	separators. ``(',', ':')`` is the most compact JSON representation.
100	108	This value is passed directly to the active JSON backend library and
101	109	not used by jsonpickle directly.
	110	:param include_properties:
	111	Include the names and values of class properties in the generated json.
	112	Properties are unpickled properly regardless of this setting, this is
	113	meant to be used if processing the json outside of Python. Defaults to
	114	``False``.
102	115
103	116	>>> encode('my string') == '"my string"'
104	117	True

123	136	use_decimal=use_decimal,
124	137	use_base85=use_base85,
125	138	fail_safe=fail_safe,
	139	include_properties=include_properties,
126	140	)
127	141	return backend.encode(
128	142	context.flatten(value, reset=reset), indent=indent, separators=separators
129	143	)
	144
	145
	146	def _in_cycle(obj, objs, max_reached, make_refs):
	147	"""Detect cyclic structures that would lead to infinite recursion"""
	148	return (
	149	(max_reached or (not make_refs and id(obj) in objs))
	150	and not util.is_primitive(obj)
	151	and not util.is_enum(obj)
	152	)
	153
	154
	155	def _mktyperef(obj):
	156	"""Return a typeref dictionary
	157
	158	>>> _mktyperef(AssertionError) == {'py/type': 'builtins.AssertionError'}
	159	True
	160
	161	"""
	162	return {tags.TYPE: util.importable_name(obj)}
	163
	164
	165	def _wrap_string_slot(string):
	166	"""Converts __slots__ = 'a' into __slots__ = ('a',)"""
	167	if isinstance(string, string_types):
	168	return (string,)
	169	return string
130	170
131	171
132	172	class Pickler(object):

143	183	use_decimal=False,
144	184	use_base85=False,
145	185	fail_safe=None,
	186	include_properties=False,
146	187	):
147	188	self.unpicklable = unpicklable
148	189	self.make_refs = make_refs

150	191	self.keys = keys
151	192	self.warn = warn
152	193	self.numeric_keys = numeric_keys
153		self.use_base85 = use_base85 and (not PY2)
	194	self.use_base85 = use_base85
154	195	# The current recursion depth
155	196	self._depth = -1
156	197	# The maximal recursion depth

175	216
176	217	# ignore exceptions
177	218	self.fail_safe = fail_safe
	219	self.include_properties = include_properties
	220
	221	def _determine_sort_keys(self):
	222	for _, options in self.backend._encoder_options.values():
	223	if options.get("sort_keys", False):
	224	# the user has set one of the backends to sort keys
	225	return True
	226	return False
	227
	228	def _sort_attrs(self, obj):
	229	if hasattr(obj, "__slots__") and self.warn:
	230	# Slots are read-only by default, the only way
	231	# to sort keys is to do it in a subclass
	232	# and that would require calling the init function
	233	# of the parent again. That could cause issues
	234	# so we refuse to handle it.
	235	raise TypeError(
	236	"Objects with __slots__ cannot have their keys reliably sorted by jsonpickle! Please sort the keys in the __slots__ definition instead."
	237	)
	238	# Somehow some classes don't have slots or dict
	239	elif hasattr(obj, "__dict__"):
	240	try:
	241	obj.__dict__ = dict(sorted(obj.__dict__.items()))
	242	except (TypeError, AttributeError):
	243	# Can't set attributes of builtin/extension type
	244	pass
	245	return obj
178	246
179	247	def reset(self):
180	248	self._objs = {}

220	288
221	289	def _getref(self, obj):
222	290	return {tags.ID: self._objs.get(id(obj))}
	291
	292	def _flatten(self, obj):
	293	if self.unpicklable and self.make_refs:
	294	result = self._flatten_impl(obj)
	295	else:
	296	try:
	297	result = self._flattened[id(obj)]
	298	except KeyError:
	299	result = self._flattened[id(obj)] = self._flatten_impl(obj)
	300	return result
223	301
224	302	def flatten(self, obj, reset=True):
225	303	"""Takes an object and returns a JSON-safe representation of it.

251	329	"""
252	330	if reset:
253	331	self.reset()
	332	if self._determine_sort_keys():
	333	obj = self._sort_attrs(obj)
254	334	return self._flatten(obj)
255	335
256		def _flatten(self, obj):
257		if self.unpicklable and self.make_refs:
258		result = self._flatten_impl(obj)
259		else:
260		try:
261		result = self._flattened[id(obj)]
262		except KeyError:
263		result = self._flattened[id(obj)] = self._flatten_impl(obj)
264		return result
	336	def _flatten_bytestring(self, obj):
	337	return {self._bytes_tag: self._bytes_encoder(obj)}
265	338
266	339	def _flatten_impl(self, obj):
267	340	#########################################
268	341	# if obj is nonrecursive return immediately
269	342	# for performance reasons we don't want to do recursive checks
270		if PY2 and isinstance(obj, types.FileType):
271		return self._flatten_file(obj)
272
273	343	if type(obj) is bytes:
274	344	return self._flatten_bytestring(obj)
275	345

285	355
286	356	def _max_reached(self):
287	357	return self._depth == self._max_depth
	358
	359	def _pickle_warning(self, obj):
	360	if self.warn:
	361	msg = 'jsonpickle cannot pickle %r: replaced with None' % obj
	362	warnings.warn(msg)
288	363
289	364	def _flatten_obj(self, obj):
290	365	self._seen.append(obj)

317	392	def _list_recurse(self, obj):
318	393	return [self._flatten(v) for v in obj]
319	394
320		def _get_flattener(self, obj):
321		if type(obj) in (list, dict):
322		if self._mkref(obj):
323		return (
324		self._list_recurse if type(obj) is list else self._flatten_dict_obj
325		)
	395	def _flatten_function(self, obj):
	396	if self.unpicklable:
	397	data = {tags.FUNCTION: util.importable_name(obj)}
	398	else:
	399	data = None
	400
	401	return data
	402
	403	def _getstate(self, obj, data):
	404	state = self._flatten(obj)
	405	if self.unpicklable:
	406	data[tags.STATE] = state
	407	else:
	408	data = state
	409	return data
	410
	411	def _flatten_key_value_pair(self, k, v, data):
	412	"""Flatten a key/value pair into the passed-in dictionary."""
	413	if not util.is_picklable(k, v):
	414	return data
	415
	416	if k is None:
	417	k = 'null' # for compatibility with common json encoders
	418
	419	if self.numeric_keys and isinstance(k, numeric_types):
	420	pass
	421	elif not isinstance(k, string_types):
	422	try:
	423	k = repr(k)
	424	except Exception:
	425	k = compat.ustr(k)
	426
	427	data[k] = self._flatten(v)
	428	return data
	429
	430	def _flatten_obj_attrs(self, obj, attrs, data):
	431	flatten = self._flatten_key_value_pair
	432	ok = False
	433	for k in attrs:
	434	try:
	435	if not k.startswith('__'):
	436	value = getattr(obj, k)
	437	else:
	438	value = getattr(obj, f"_{obj.__class__.__name__}{k}")
	439	flatten(k, value, data)
	440	except AttributeError:
	441	# The attribute may have been deleted
	442	continue
	443	ok = True
	444	return ok
	445
	446	def _flatten_properties(self, obj, data, allslots=None):
	447	if allslots is None:
	448	# setting a list as a default argument can lead to some weird errors
	449	allslots = []
	450
	451	# convert to set in case there are a lot of slots
	452	allslots_set = set(itertools.chain.from_iterable(allslots))
	453
	454	# i don't like lambdas
	455	def valid_property(x):
	456	return not x[0].startswith("__") and x[0] not in allslots_set
	457
	458	properties = [
	459	x[0] for x in inspect.getmembers(obj.__class__) if valid_property(x)
	460	]
	461
	462	properties_dict = {}
	463	for p_name in properties:
	464	p_val = getattr(obj, p_name)
	465	if util.is_not_class(p_val):
	466	properties_dict[p_name] = p_val
326	467	else:
327		self._push()
328		return self._getref
329
330		# We handle tuples and sets by encoding them in a "(tuple\|set)dict"
331		elif type(obj) in (tuple, set):
332		if not self.unpicklable:
333		return self._list_recurse
334		return lambda obj: {
335		tags.TUPLE
336		if type(obj) is tuple
337		else tags.SET: [self._flatten(v) for v in obj]
338		}
339
340		elif util.is_object(obj):
341		return self._ref_obj_instance
342
343		elif util.is_type(obj):
344		return _mktyperef
345
346		elif util.is_module_function(obj):
347		return self._flatten_function
348
349		# instance methods, lambdas, old style classes...
	468	properties_dict[p_name] = self._flatten(p_val)
	469
	470	data[tags.PROPERTY] = properties_dict
	471
	472	return data
	473
	474	def _flatten_newstyle_with_slots(self, obj, data):
	475	"""Return a json-friendly dict for new-style objects with __slots__."""
	476	allslots = [
	477	_wrap_string_slot(getattr(cls, '__slots__', tuple()))
	478	for cls in obj.__class__.mro()
	479	]
	480
	481	# add properties to the attribute list
	482	if self.include_properties:
	483	data = self._flatten_properties(obj, data, allslots)
	484
	485	if not self._flatten_obj_attrs(obj, chain(*allslots), data):
	486	attrs = [
	487	x for x in dir(obj) if not x.startswith('__') and not x.endswith('__')
	488	]
	489	self._flatten_obj_attrs(obj, attrs, data)
	490
	491	return data
	492
	493	def _flatten_obj_instance(self, obj):
	494	"""Recursively flatten an instance and return a json-friendly dict"""
	495	data = {}
	496	has_class = hasattr(obj, '__class__')
	497	has_dict = hasattr(obj, '__dict__')
	498	has_slots = not has_dict and hasattr(obj, '__slots__')
	499	has_getnewargs = util.has_method(obj, '__getnewargs__')
	500	has_getnewargs_ex = util.has_method(obj, '__getnewargs_ex__')
	501	has_getinitargs = util.has_method(obj, '__getinitargs__')
	502	has_reduce, has_reduce_ex = util.has_reduce(obj)
	503
	504	# Support objects with __getstate__(); this ensures that
	505	# both __setstate__() and __getstate__() are implemented
	506	has_own_getstate = hasattr(type(obj), '__getstate__') and type(
	507	obj
	508	).__getstate__ is not getattr(object, '__getstate__', None)
	509	# not using has_method since __getstate__() is handled separately below
	510	# Note: on Python 3.11+, all objects have __getstate__.
	511
	512	if has_class:
	513	cls = obj.__class__
	514	else:
	515	cls = type(obj)
	516
	517	# Check for a custom handler
	518	class_name = util.importable_name(cls)
	519	handler = handlers.get(cls, handlers.get(class_name))
	520	if handler is not None:
	521	if self.unpicklable:
	522	data[tags.OBJECT] = class_name
	523	return handler(self).flatten(obj, data)
	524
	525	reduce_val = None
	526
	527	if self.include_properties:
	528	data = self._flatten_properties(obj, data)
	529
	530	if self.unpicklable:
	531	if has_reduce and not has_reduce_ex:
	532	try:
	533	reduce_val = obj.__reduce__()
	534	except TypeError:
	535	# A lot of builtin types have a reduce which
	536	# just raises a TypeError
	537	# we ignore those
	538	pass
	539
	540	# test for a reduce implementation, and redirect before
	541	# doing anything else if that is what reduce requests
	542	elif has_reduce_ex:
	543	try:
	544	# we're implementing protocol 2
	545	reduce_val = obj.__reduce_ex__(2)
	546	except TypeError:
	547	# A lot of builtin types have a reduce which
	548	# just raises a TypeError
	549	# we ignore those
	550	pass
	551
	552	if reduce_val and isinstance(reduce_val, string_types):
	553	try:
	554	varpath = iter(reduce_val.split('.'))
	555	# curmod will be transformed by the
	556	# loop into the value to pickle
	557	curmod = sys.modules[next(varpath)]
	558	for modname in varpath:
	559	curmod = getattr(curmod, modname)
	560	# replace obj with value retrieved
	561	return self._flatten(curmod)
	562	except KeyError:
	563	# well, we can't do anything with that, so we ignore it
	564	pass
	565
	566	elif reduce_val:
	567	# at this point, reduce_val should be some kind of iterable
	568	# pad out to len 5
	569	rv_as_list = list(reduce_val)
	570	insufficiency = 5 - len(rv_as_list)
	571	if insufficiency:
	572	rv_as_list += [None] * insufficiency
	573
	574	if getattr(rv_as_list[0], '__name__', '') == '__newobj__':
	575	rv_as_list[0] = tags.NEWOBJ
	576
	577	f, args, state, listitems, dictitems = rv_as_list
	578
	579	# check that getstate/setstate is sane
	580	if not (
	581	state
	582	and has_own_getstate
	583	and not hasattr(obj, '__setstate__')
	584	and not isinstance(obj, dict)
	585	):
	586	# turn iterators to iterables for convenient serialization
	587	if rv_as_list[3]:
	588	rv_as_list[3] = tuple(rv_as_list[3])
	589
	590	if rv_as_list[4]:
	591	rv_as_list[4] = tuple(rv_as_list[4])
	592
	593	reduce_args = list(map(self._flatten, rv_as_list))
	594	last_index = len(reduce_args) - 1
	595	while last_index >= 2 and reduce_args[last_index] is None:
	596	last_index -= 1
	597	data[tags.REDUCE] = reduce_args[: last_index + 1]
	598
	599	return data
	600
	601	if has_class and not util.is_module(obj):
	602	if self.unpicklable:
	603	data[tags.OBJECT] = class_name
	604
	605	if has_getnewargs_ex:
	606	data[tags.NEWARGSEX] = list(map(self._flatten, obj.__getnewargs_ex__()))
	607
	608	if has_getnewargs and not has_getnewargs_ex:
	609	data[tags.NEWARGS] = self._flatten(obj.__getnewargs__())
	610
	611	if has_getinitargs:
	612	data[tags.INITARGS] = self._flatten(obj.__getinitargs__())
	613
	614	if has_own_getstate:
	615	try:
	616	state = obj.__getstate__()
	617	except TypeError:
	618	# Has getstate but it cannot be called, e.g. file descriptors
	619	# in Python3
	620	self._pickle_warning(obj)
	621	return None
	622	else:
	623	if state:
	624	return self._getstate(state, data)
	625
	626	if util.is_module(obj):
	627	if self.unpicklable:
	628	data[tags.REPR] = '{name}/{name}'.format(name=obj.__name__)
	629	else:
	630	data = compat.ustr(obj)
	631	return data
	632
	633	if util.is_dictionary_subclass(obj):
	634	self._flatten_dict_obj(obj, data)
	635	return data
	636
	637	if util.is_sequence_subclass(obj):
	638	return self._flatten_sequence_obj(obj, data)
	639
	640	if util.is_iterator(obj):
	641	# force list in python 3
	642	data[tags.ITERATOR] = list(map(self._flatten, islice(obj, self._max_iter)))
	643	return data
	644
	645	if has_dict:
	646	# Support objects that subclasses list and set
	647	if util.is_sequence_subclass(obj):
	648	return self._flatten_sequence_obj(obj, data)
	649
	650	# hack for zope persistent objects; this unghostifies the object
	651	getattr(obj, '_', None)
	652	return self._flatten_dict_obj(obj.__dict__, data)
	653
	654	if has_slots:
	655	return self._flatten_newstyle_with_slots(obj, data)
	656
	657	# catchall return for data created above without a return
	658	# (e.g. __getnewargs__ is not supposed to be the end of the story)
	659	if data:
	660	return data
	661
350	662	self._pickle_warning(obj)
351	663	return None
352	664

371	683	self._mkref(obj)
372	684	return self._flatten_obj_instance(obj)
373	685
374		def _flatten_file(self, obj):
375		"""
376		Special case file objects
377		"""
378		assert not PY3 and isinstance(obj, types.FileType)
379		return None
380
381		def _flatten_bytestring(self, obj):
382		if PY2:
383		try:
384		return obj.decode('utf-8')
385		except UnicodeDecodeError:
	686	def _escape_key(self, k):
	687	return tags.JSON_KEY + encode(
	688	k,
	689	reset=False,
	690	keys=True,
	691	context=self,
	692	backend=self.backend,
	693	make_refs=self.make_refs,
	694	)
	695
	696	def _flatten_non_string_key_value_pair(self, k, v, data):
	697	"""Flatten only non-string key/value pairs"""
	698	if not util.is_picklable(k, v):
	699	return data
	700	if self.keys and not isinstance(k, string_types):
	701	k = self._escape_key(k)
	702	data[k] = self._flatten(v)
	703	return data
	704
	705	def _flatten_string_key_value_pair(self, k, v, data):
	706	"""Flatten string key/value pairs only."""
	707	if not util.is_picklable(k, v):
	708	return data
	709	if self.keys:
	710	if not isinstance(k, string_types):
	711	return data
	712	elif k.startswith(tags.JSON_KEY):
	713	k = self._escape_key(k)
	714	else:
	715	if k is None:
	716	k = 'null' # for compatibility with common json encoders
	717
	718	if self.numeric_keys and isinstance(k, numeric_types):
386	719	pass
387		return {self._bytes_tag: self._bytes_encoder(obj)}
388
389		def _flatten_obj_instance(self, obj):
390		"""Recursively flatten an instance and return a json-friendly dict"""
391		data = {}
392		has_class = hasattr(obj, '__class__')
393		has_dict = hasattr(obj, '__dict__')
394		has_slots = not has_dict and hasattr(obj, '__slots__')
395		has_getnewargs = util.has_method(obj, '__getnewargs__')
396		has_getnewargs_ex = util.has_method(obj, '__getnewargs_ex__')
397		has_getinitargs = util.has_method(obj, '__getinitargs__')
398		has_reduce, has_reduce_ex = util.has_reduce(obj)
399
400		# Support objects with __getstate__(); this ensures that
401		# both __setstate__() and __getstate__() are implemented
402		has_getstate = hasattr(obj, '__getstate__')
403		# not using has_method since __getstate__() is handled separately below
404
405		if has_class:
406		cls = obj.__class__
407		else:
408		cls = type(obj)
409
410		# Check for a custom handler
411		class_name = util.importable_name(cls)
412		handler = handlers.get(cls, handlers.get(class_name))
413		if handler is not None:
414		if self.unpicklable:
415		data[tags.OBJECT] = class_name
416		return handler(self).flatten(obj, data)
417
418		reduce_val = None
419
420		if self.unpicklable:
421		if has_reduce and not has_reduce_ex:
	720	elif not isinstance(k, string_types):
422	721	try:
423		reduce_val = obj.__reduce__()
424		except TypeError:
425		# A lot of builtin types have a reduce which
426		# just raises a TypeError
427		# we ignore those
428		pass
429
430		# test for a reduce implementation, and redirect before
431		# doing anything else if that is what reduce requests
432		elif has_reduce_ex:
433		try:
434		# we're implementing protocol 2
435		reduce_val = obj.__reduce_ex__(2)
436		except TypeError:
437		# A lot of builtin types have a reduce which
438		# just raises a TypeError
439		# we ignore those
440		pass
441
442		if reduce_val and isinstance(reduce_val, string_types):
443		try:
444		varpath = iter(reduce_val.split('.'))
445		# curmod will be transformed by the
446		# loop into the value to pickle
447		curmod = sys.modules[next(varpath)]
448		for modname in varpath:
449		curmod = getattr(curmod, modname)
450		# replace obj with value retrieved
451		return self._flatten(curmod)
452		except KeyError:
453		# well, we can't do anything with that, so we ignore it
454		pass
455
456		elif reduce_val:
457		# at this point, reduce_val should be some kind of iterable
458		# pad out to len 5
459		rv_as_list = list(reduce_val)
460		insufficiency = 5 - len(rv_as_list)
461		if insufficiency:
462		rv_as_list += [None] * insufficiency
463
464		if getattr(rv_as_list[0], '__name__', '') == '__newobj__':
465		rv_as_list[0] = tags.NEWOBJ
466
467		f, args, state, listitems, dictitems = rv_as_list
468
469		# check that getstate/setstate is sane
470		if not (
471		state
472		and hasattr(obj, '__getstate__')
473		and not hasattr(obj, '__setstate__')
474		and not isinstance(obj, dict)
475		):
476		# turn iterators to iterables for convenient serialization
477		if rv_as_list[3]:
478		rv_as_list[3] = tuple(rv_as_list[3])
479
480		if rv_as_list[4]:
481		rv_as_list[4] = tuple(rv_as_list[4])
482
483		reduce_args = list(map(self._flatten, rv_as_list))
484		last_index = len(reduce_args) - 1
485		while last_index >= 2 and reduce_args[last_index] is None:
486		last_index -= 1
487		data[tags.REDUCE] = reduce_args[: last_index + 1]
488
489		return data
490
491		if has_class and not util.is_module(obj):
492		if self.unpicklable:
493		data[tags.OBJECT] = class_name
494
495		if has_getnewargs_ex:
496		data[tags.NEWARGSEX] = list(map(self._flatten, obj.__getnewargs_ex__()))
497
498		if has_getnewargs and not has_getnewargs_ex:
499		data[tags.NEWARGS] = self._flatten(obj.__getnewargs__())
500
501		if has_getinitargs:
502		data[tags.INITARGS] = self._flatten(obj.__getinitargs__())
503
504		if has_getstate:
505		try:
506		state = obj.__getstate__()
507		except TypeError:
508		# Has getstate but it cannot be called, e.g. file descriptors
509		# in Python3
510		self._pickle_warning(obj)
511		return None
512		else:
513		return self._getstate(state, data)
514
515		if util.is_module(obj):
516		if self.unpicklable:
517		data[tags.REPR] = '{name}/{name}'.format(name=obj.__name__)
518		else:
519		data = compat.ustr(obj)
520		return data
521
522		if util.is_dictionary_subclass(obj):
523		self._flatten_dict_obj(obj, data)
524		return data
525
526		if util.is_sequence_subclass(obj):
527		return self._flatten_sequence_obj(obj, data)
528
529		if util.is_iterator(obj):
530		# force list in python 3
531		data[tags.ITERATOR] = list(map(self._flatten, islice(obj, self._max_iter)))
532		return data
533
534		if has_dict:
535		# Support objects that subclasses list and set
536		if util.is_sequence_subclass(obj):
537		return self._flatten_sequence_obj(obj, data)
538
539		# hack for zope persistent objects; this unghostifies the object
540		getattr(obj, '_', None)
541		return self._flatten_dict_obj(obj.__dict__, data)
542
543		if has_slots:
544		return self._flatten_newstyle_with_slots(obj, data)
545
546		# catchall return for data created above without a return
547		# (e.g. __getnewargs__ is not supposed to be the end of the story)
548		if data:
549		return data
550
551		self._pickle_warning(obj)
552		return None
553
554		def _flatten_function(self, obj):
555		if self.unpicklable:
556		data = {tags.FUNCTION: util.importable_name(obj)}
557		else:
558		data = None
559
	722	k = repr(k)
	723	except Exception:
	724	k = compat.ustr(k)
	725
	726	data[k] = self._flatten(v)
560	727	return data
561	728
562	729	def _flatten_dict_obj(self, obj, data=None):

594	761	if self._mkref(factory):
595	762	# We've never seen this object before so pickle it in-place.
596	763	# Create an instance from the factory and assume that the
597		# resulting instance is a suitable examplar.
	764	# resulting instance is a suitable exemplar.
598	765	value = self._flatten_obj_instance(handlers.CloneFactory(factory()))
599	766	else:
600	767	# We've seen this object before.

610	777
611	778	return data
612	779
613		def _flatten_obj_attrs(self, obj, attrs, data):
614		flatten = self._flatten_key_value_pair
615		ok = False
616		for k in attrs:
617		try:
618		value = getattr(obj, k)
619		flatten(k, value, data)
620		except AttributeError:
621		# The attribute may have been deleted
622		continue
623		ok = True
624		return ok
625
626		def _flatten_newstyle_with_slots(self, obj, data):
627		"""Return a json-friendly dict for new-style objects with __slots__."""
628		allslots = [
629		_wrap_string_slot(getattr(cls, '__slots__', tuple()))
630		for cls in obj.__class__.mro()
631		]
632
633		if not self._flatten_obj_attrs(obj, chain(*allslots), data):
634		attrs = [
635		x for x in dir(obj) if not x.startswith('__') and not x.endswith('__')
636		]
637		self._flatten_obj_attrs(obj, attrs, data)
638
639		return data
640
641		def _flatten_key_value_pair(self, k, v, data):
642		"""Flatten a key/value pair into the passed-in dictionary."""
643		if not util.is_picklable(k, v):
644		return data
645
646		if k is None:
647		k = 'null' # for compatibility with common json encoders
648
649		if self.numeric_keys and isinstance(k, numeric_types):
650		pass
651		elif not isinstance(k, string_types):
652		try:
653		k = repr(k)
654		except Exception:
655		k = compat.ustr(k)
656
657		data[k] = self._flatten(v)
658		return data
659
660		def _flatten_non_string_key_value_pair(self, k, v, data):
661		"""Flatten only non-string key/value pairs"""
662		if not util.is_picklable(k, v):
663		return data
664		if self.keys and not isinstance(k, string_types):
665		k = self._escape_key(k)
666		data[k] = self._flatten(v)
667		return data
668
669		def _flatten_string_key_value_pair(self, k, v, data):
670		"""Flatten string key/value pairs only."""
671		if not util.is_picklable(k, v):
672		return data
673		if self.keys:
674		if not isinstance(k, string_types):
675		return data
676		elif k.startswith(tags.JSON_KEY):
677		k = self._escape_key(k)
678		else:
679		if k is None:
680		k = 'null' # for compatibility with common json encoders
681
682		if self.numeric_keys and isinstance(k, numeric_types):
683		pass
684		elif not isinstance(k, string_types):
685		try:
686		k = repr(k)
687		except Exception:
688		k = compat.ustr(k)
689
690		data[k] = self._flatten(v)
691		return data
	780	def _get_flattener(self, obj):
	781	if type(obj) in (list, dict):
	782	if self._mkref(obj):
	783	return (
	784	self._list_recurse if type(obj) is list else self._flatten_dict_obj
	785	)
	786	else:
	787	self._push()
	788	return self._getref
	789
	790	# We handle tuples and sets by encoding them in a "(tuple\|set)dict"
	791	elif type(obj) in (tuple, set):
	792	if not self.unpicklable:
	793	return self._list_recurse
	794	return lambda obj: {
	795	tags.TUPLE
	796	if type(obj) is tuple
	797	else tags.SET: [self._flatten(v) for v in obj]
	798	}
	799
	800	elif util.is_object(obj):
	801	return self._ref_obj_instance
	802
	803	elif util.is_type(obj):
	804	return _mktyperef
	805
	806	elif util.is_module_function(obj):
	807	return self._flatten_function
	808
	809	# instance methods, lambdas, old style classes...
	810	self._pickle_warning(obj)
	811	return None
692	812
693	813	def _flatten_sequence_obj(self, obj, data):
694	814	"""Return a json-friendly dict for a sequence subclass."""

700	820	else:
701	821	return value
702	822	return data
703
704		def _escape_key(self, k):
705		return tags.JSON_KEY + encode(
706		k,
707		reset=False,
708		keys=True,
709		context=self,
710		backend=self.backend,
711		make_refs=self.make_refs,
712		)
713
714		def _getstate(self, obj, data):
715		state = self._flatten(obj)
716		if self.unpicklable:
717		data[tags.STATE] = state
718		else:
719		data = state
720		return data
721
722		def _pickle_warning(self, obj):
723		if self.warn:
724		msg = 'jsonpickle cannot pickle %r: replaced with None' % obj
725		warnings.warn(msg)
726
727
728		def _in_cycle(obj, objs, max_reached, make_refs):
729		"""Detect cyclic structures that would lead to infinite recursion"""
730		return (
731		(max_reached or (not make_refs and id(obj) in objs))
732		and not util.is_primitive(obj)
733		and not util.is_enum(obj)
734		)
735
736
737		def _mktyperef(obj):
738		"""Return a typeref dictionary
739
740		>>> _mktyperef(AssertionError) == {'py/type': 'builtins.AssertionError'}
741		True
742
743		"""
744		return {tags.TYPE: util.importable_name(obj)}
745
746
747		def _wrap_string_slot(string):
748		"""Converts __slots__ = 'a' into __slots__ = ('a',)"""
749		if isinstance(string, string_types):
750		return (string,)
751		return string

-1

jsonpickle/tags.py less more

6	6	that need to be specially handled.
7	7	"""
8	8	from __future__ import absolute_import, division, unicode_literals
9
10	9
11	10	BYTES = 'py/bytes'
12	11	B64 = 'py/b64'

20	19	NEWARGSEX = 'py/newargsex'
21	20	NEWOBJ = 'py/newobj'
22	21	OBJECT = 'py/object'
	22	PROPERTY = 'py/property'
23	23	REDUCE = 'py/reduce'
24	24	REF = 'py/ref'
25	25	REPR = 'py/repr'

40	40	NEWARGSEX,
41	41	NEWOBJ,
42	42	OBJECT,
	43	PROPERTY,
43	44	REDUCE,
44	45	REF,
45	46	REPR,

+474

-387

jsonpickle/unpickler.py less more

4	4	# This software is licensed as described in the file COPYING, which
5	5	# you should have received as part of this distribution.
6	6	from __future__ import absolute_import, division, unicode_literals
7		import quopri
	7
	8	import dataclasses
8	9	import sys
9
10		from . import compat
11		from . import util
12		from . import tags
13		from . import handlers
	10	import warnings
	11
	12	from . import compat, errors, handlers, tags, util
	13	from .backend import json
14	14	from .compat import numeric_types
15		from .backend import json
16	15
17	16
18	17	def decode(
19		string, backend=None, context=None, keys=False, reset=True, safe=False, classes=None
	18	string,
	19	backend=None,
	20	context=None,
	21	keys=False,
	22	reset=True,
	23	safe=False,
	24	classes=None,
	25	v1_decode=False,
	26	on_missing="ignore",
20	27	):
21	28	"""Convert a JSON string into a Python object.
22	29

26	33
27	34	The keyword argument 'classes' defaults to None.
28	35	If set to a single class, or a sequence (list, set, tuple) of classes,
29		then the classes will be made available when constructing objects. This
30		can be used to give jsonpickle access to local classes that are not
31		available through the global module import scope.
	36	then the classes will be made available when constructing objects.
	37	If set to a dictionary of class names to class objects, the class object
	38	will be provided to jsonpickle to deserialize the class name into.
	39	This can be used to give jsonpickle access to local classes that are not
	40	available through the global module import scope, and the dict method can
	41	be used to deserialize encoded objects into a new class.
32	42
33	43	The keyword argument 'safe' defaults to False.
34	44	If set to True, eval() is avoided, but backwards-compatible

37	47	The keyword argument 'backend' defaults to None.
38	48	If set to an instance of jsonpickle.backend.JSONBackend, jsonpickle
39	49	will use that backend for deserialization.
	50
	51	The keyword argument 'v1_decode' defaults to False.
	52	If set to True it enables you to decode objects serialized in jsonpickle v1.
	53	Please do not attempt to re-encode the objects in the v1 format! Version 2's
	54	format fixes issue #255, and allows dictionary identity to be preserved
	55	through an encode/decode cycle.
	56
	57	The keyword argument 'on_missing' defaults to 'ignore'.
	58	If set to 'error', it will raise an error if the class it's decoding is not
	59	found. If set to 'warn', it will warn you in said case. If set to a
	60	non-awaitable function, it will call said callback function with the class
	61	name (a string) as the only parameter. Strings passed to on_missing are
	62	lowercased automatically.
	63
40	64
41	65	>>> decode('"my string"') == 'my string'
42	66	True
43	67	>>> decode('36')
44	68	36
45	69	"""
	70
	71	if isinstance(on_missing, str):
	72	on_missing = on_missing.lower()
	73	elif not util.is_function(on_missing):
	74	warnings.warn(
	75	"Unpickler.on_missing must be a string or a function! It will be ignored!"
	76	)
	77
46	78	backend = backend or json
47		context = context or Unpickler(keys=keys, backend=backend, safe=safe)
	79	context = context or Unpickler(
	80	keys=keys,
	81	backend=backend,
	82	safe=safe,
	83	v1_decode=v1_decode,
	84	on_missing=on_missing,
	85	)
48	86	data = backend.decode(string)
49	87	return context.restore(data, reset=reset, classes=classes)
50	88

119	157	obj[idx] = proxy.get()
120	158
121	159
	160	def loadclass(module_and_name, classes=None):
	161	"""Loads the module and returns the class.
	162
	163	>>> cls = loadclass('datetime.datetime')
	164	>>> cls.__name__
	165	'datetime'
	166
	167	>>> loadclass('does.not.exist')
	168
	169	>>> loadclass('builtins.int')()
	170	0
	171
	172	"""
	173	# Check if the class exists in a caller-provided scope
	174	if classes:
	175	try:
	176	return classes[module_and_name]
	177	except KeyError:
	178	# maybe they didn't provide a fully qualified path
	179	try:
	180	return classes[module_and_name.rsplit('.', 1)[-1]]
	181	except KeyError:
	182	pass
	183	# Otherwise, load classes from globally-accessible imports
	184	names = module_and_name.split('.')
	185	# First assume that everything up to the last dot is the module name,
	186	# then try other splits to handle classes that are defined within
	187	# classes
	188	for up_to in range(len(names) - 1, 0, -1):
	189	module = util.untranslate_module_name('.'.join(names[:up_to]))
	190	try:
	191	__import__(module)
	192	obj = sys.modules[module]
	193	for class_name in names[up_to:]:
	194	try:
	195	obj = getattr(obj, class_name)
	196	except AttributeError:
	197	continue
	198	return obj
	199	except (AttributeError, ImportError, ValueError):
	200	continue
	201	return None
	202
	203
	204	def has_tag(obj, tag):
	205	"""Helper class that tests to see if the obj is a dictionary
	206	and contains a particular key/tag.
	207
	208	>>> obj = {'test': 1}
	209	>>> has_tag(obj, 'test')
	210	True
	211	>>> has_tag(obj, 'fail')
	212	False
	213
	214	>>> has_tag(42, 'fail')
	215	False
	216
	217	"""
	218	return type(obj) is dict and tag in obj
	219
	220
	221	def getargs(obj, classes=None):
	222	"""Return arguments suitable for __new__()"""
	223	# Let saved newargs take precedence over everything
	224	if has_tag(obj, tags.NEWARGSEX):
	225	raise ValueError("__newargs_ex__ returns both args and kwargs")
	226
	227	if has_tag(obj, tags.NEWARGS):
	228	return obj[tags.NEWARGS]
	229
	230	if has_tag(obj, tags.INITARGS):
	231	return obj[tags.INITARGS]
	232
	233	try:
	234	seq_list = obj[tags.SEQ]
	235	obj_dict = obj[tags.OBJECT]
	236	except KeyError:
	237	return []
	238	typeref = loadclass(obj_dict, classes=classes)
	239	if not typeref:
	240	return []
	241	if hasattr(typeref, '_fields'):
	242	if len(typeref._fields) == len(seq_list):
	243	return seq_list
	244	return []
	245
	246
	247	class _trivialclassic:
	248	"""
	249	A trivial class that can be instantiated with no args
	250	"""
	251
	252
	253	def make_blank_classic(cls):
	254	"""
	255	Implement the mandated strategy for dealing with classic classes
	256	which cannot be instantiated without __getinitargs__ because they
	257	take parameters
	258	"""
	259	instance = _trivialclassic()
	260	instance.__class__ = cls
	261	return instance
	262
	263
	264	def loadrepr(reprstr):
	265	"""Returns an instance of the object from the object's repr() string.
	266	It involves the dynamic specification of code.
	267
	268	>>> obj = loadrepr('datetime/datetime.datetime.now()')
	269	>>> obj.__class__.__name__
	270	'datetime'
	271
	272	"""
	273	module, evalstr = reprstr.split('/')
	274	mylocals = locals()
	275	localname = module
	276	if '.' in localname:
	277	localname = module.split('.', 1)[0]
	278	mylocals[localname] = __import__(module)
	279	return eval(evalstr)
	280
	281
	282	def has_tag_dict(obj, tag):
	283	"""Helper class that tests to see if the obj is a dictionary
	284	and contains a particular key/tag.
	285
	286	>>> obj = {'test': 1}
	287	>>> has_tag(obj, 'test')
	288	True
	289	>>> has_tag(obj, 'fail')
	290	False
	291
	292	>>> has_tag(42, 'fail')
	293	False
	294
	295	"""
	296	return tag in obj
	297
	298
122	299	class Unpickler(object):
123		def __init__(self, backend=None, keys=False, safe=False):
	300	def __init__(
	301	self, backend=None, keys=False, safe=False, v1_decode=False, on_missing="ignore"
	302	):
124	303	self.backend = backend or json
125	304	self.keys = keys
126	305	self.safe = safe
	306	self.v1_decode = v1_decode
	307	self.on_missing = on_missing
127	308
128	309	self.reset()
129	310

142	323
143	324	# Extra local classes not accessible globally
144	325	self._classes = {}
	326
	327	def _swap_proxies(self):
	328	"""Replace proxies with their corresponding instances"""
	329	for (obj, attr, proxy, method) in self._proxies:
	330	method(obj, attr, proxy)
	331	self._proxies = []
	332
	333	def _restore(self, obj):
	334	# if obj isn't in these types, neither it nor nothing in it can have a tag
	335	# don't change the tuple of types to a set, it won't work with isinstance
	336	if not isinstance(obj, (str, list, dict, set, tuple)):
	337
	338	def restore(x):
	339	return x
	340
	341	else:
	342	restore = self._restore_tags(obj)
	343	return restore(obj)
145	344
146	345	def restore(self, obj, reset=True, classes=None):
147	346	"""Restores a flattened object to its original python state.

173	372	if isinstance(classes, (list, tuple, set)):
174	373	for cls in classes:
175	374	self.register_classes(cls)
	375	elif isinstance(classes, dict):
	376	for cls in classes.values():
	377	self.register_classes(cls)
176	378	else:
177	379	self._classes[util.importable_name(classes)] = classes
178	380
179		def _swap_proxies(self):
180		"""Replace proxies with their corresponding instances"""
181		for (obj, attr, proxy, method) in self._proxies:
182		method(obj, attr, proxy)
183		self._proxies = []
184
185		def _restore(self, obj):
186		# if obj isn't in these types, neither it nor nothing in it can have a tag
187		# don't change the tuple of types to a set, it won't work with isinstance
188		if not isinstance(obj, (str, list, dict, set, tuple)):
189
190		def restore(x):
191		return x
192
193		else:
194		restore = self._restore_tags(obj)
195		return restore(obj)
196
197		def _restore_tags(self, obj):
198		try:
199		if not tags.RESERVED <= set(obj) and not type(obj) in (list, dict):
200
201		def restore(x):
202		return x
203
204		return restore
205		except TypeError:
206		pass
207		if has_tag(obj, tags.B64):
208		restore = self._restore_base64
209		elif has_tag(obj, tags.B85):
210		restore = self._restore_base85
211		elif has_tag(obj, tags.ID):
212		restore = self._restore_id
213		elif has_tag(obj, tags.ITERATOR):
214		restore = self._restore_iterator
215		elif has_tag(obj, tags.TYPE):
216		restore = self._restore_type
217		elif has_tag(obj, tags.REDUCE):
218		restore = self._restore_reduce
219		elif has_tag(obj, tags.OBJECT):
220		restore = self._restore_object
221		elif has_tag(obj, tags.FUNCTION):
222		restore = self._restore_function
223		elif has_tag(obj, tags.BYTES): # Backwards compatibility
224		restore = self._restore_quopri
225		elif has_tag(obj, tags.REF): # Backwards compatibility
226		restore = self._restore_ref
227		elif has_tag(obj, tags.REPR): # Backwards compatibility
228		restore = self._restore_repr
229		elif util.is_list(obj):
230		restore = self._restore_list
231		elif has_tag(obj, tags.TUPLE):
232		restore = self._restore_tuple
233		elif has_tag(obj, tags.SET):
234		restore = self._restore_set
235		elif util.is_dictionary(obj):
236		restore = self._restore_dict
237		else:
238
239		def restore(x):
240		return x
241
242		return restore
243
244	381	def _restore_base64(self, obj):
245	382	return util.b64decode(obj[tags.B64].encode('utf-8'))
246	383
247	384	def _restore_base85(self, obj):
248	385	return util.b85decode(obj[tags.B85].encode('utf-8'))
249	386
250		#: For backwards compatibility with bytes data produced by older versions
251		def _restore_quopri(self, obj):
252		return quopri.decodestring(obj[tags.BYTES].encode('utf-8'))
	387	def _refname(self):
	388	"""Calculates the name of the current location in the JSON stack.
	389
	390	This is called as jsonpickle traverses the object structure to
	391	create references to previously-traversed objects. This allows
	392	cyclical data structures such as doubly-linked lists.
	393	jsonpickle ensures that duplicate python references to the same
	394	object results in only a single JSON object definition and
	395	special reference tags to represent each reference.
	396
	397	>>> u = Unpickler()
	398	>>> u._namestack = []
	399	>>> u._refname() == '/'
	400	True
	401	>>> u._namestack = ['a']
	402	>>> u._refname() == '/a'
	403	True
	404	>>> u._namestack = ['a', 'b']
	405	>>> u._refname() == '/a/b'
	406	True
	407
	408	"""
	409	return '/' + '/'.join(self._namestack)
	410
	411	def _mkref(self, obj):
	412	obj_id = id(obj)
	413	try:
	414	self._obj_to_idx[obj_id]
	415	except KeyError:
	416	self._obj_to_idx[obj_id] = len(self._objs)
	417	self._objs.append(obj)
	418	# Backwards compatibility: old versions of jsonpickle
	419	# produced "py/ref" references.
	420	self._namedict[self._refname()] = obj
	421	return obj
	422
	423	def _restore_list(self, obj):
	424	parent = []
	425	self._mkref(parent)
	426	children = [self._restore(v) for v in obj]
	427	parent.extend(children)
	428	method = _obj_setvalue
	429	proxies = [
	430	(parent, idx, value, method)
	431	for idx, value in enumerate(parent)
	432	if isinstance(value, _Proxy)
	433	]
	434	self._proxies.extend(proxies)
	435	return parent
253	436
254	437	def _restore_iterator(self, obj):
255	438	return iter(self._restore_list(obj[tags.ITERATOR]))
	439
	440	def _swapref(self, proxy, instance):
	441	proxy_id = id(proxy)
	442	instance_id = id(instance)
	443
	444	instance_index = self._obj_to_idx[proxy_id]
	445	self._obj_to_idx[instance_id] = instance_index
	446	del self._obj_to_idx[proxy_id]
	447
	448	self._objs[instance_index] = instance
	449	self._namedict[self._refname()] = instance
256	450
257	451	def _restore_reduce(self, obj):
258	452	"""

324	518	except IndexError:
325	519	return _IDProxy(self._objs, idx)
326	520
327		def _restore_ref(self, obj):
328		return self._namedict.get(obj[tags.REF])
329
330	521	def _restore_type(self, obj):
331	522	typeref = loadclass(obj[tags.TYPE], classes=self._classes)
332	523	if typeref is None:

339	530	return None
340	531	obj = loadrepr(obj[tags.REPR])
341	532	return self._mkref(obj)
342
343		def _restore_object(self, obj):
344		class_name = obj[tags.OBJECT]
345		cls = loadclass(class_name, classes=self._classes)
346		handler = handlers.get(cls, handlers.get(class_name))
347		if handler is not None: # custom handler
348		proxy = _Proxy()
349		self._mkref(proxy)
350		instance = handler(self).restore(obj)
351		proxy.reset(instance)
352		self._swapref(proxy, instance)
353		return instance
354
355		if cls is None:
356		return self._mkref(obj)
357
358		return self._restore_object_instance(obj, cls)
359
360		def _restore_function(self, obj):
361		return loadclass(obj[tags.FUNCTION], classes=self._classes)
362	533
363	534	def _loadfactory(self, obj):
364	535	try:

368	539	del obj['default_factory']
369	540	return self._restore(default_factory)
370	541
371		def _restore_object_instance(self, obj, cls):
372		# This is a placeholder proxy object which allows child objects to
373		# reference the parent object before it has been instantiated.
374		proxy = _Proxy()
375		self._mkref(proxy)
376
377		# An object can install itself as its own factory, so load the factory
378		# after the instance is available for referencing.
379		factory = self._loadfactory(obj)
380
381		if has_tag(obj, tags.NEWARGSEX):
382		args, kwargs = obj[tags.NEWARGSEX]
	542	def _process_missing(self, class_name):
	543	# most common case comes first
	544	if self.on_missing == 'ignore':
	545	pass
	546	elif self.on_missing == 'warn':
	547	warnings.warn("Unpickler._restore_object could not find %s!" % class_name)
	548	elif self.on_missing == 'error':
	549	raise errors.ClassNotFoundError(
	550	"Unpickler.restore_object could not find %s!" % class_name
	551	)
	552	elif util.is_function(self.on_missing):
	553	self.on_missing(class_name)
	554
	555	def _restore_pickled_key(self, key):
	556	"""Restore a possibly pickled key"""
	557	if _is_json_key(key):
	558	key = decode(
	559	key[len(tags.JSON_KEY) :],
	560	backend=self.backend,
	561	context=self,
	562	keys=True,
	563	reset=False,
	564	)
	565	return key
	566
	567	def _restore_key_fn(self):
	568	"""Return a callable that restores keys
	569
	570	This function is responsible for restoring non-string keys
	571	when we are decoding with `keys=True`.
	572
	573	"""
	574	# This function is called before entering a tight loop
	575	# where the returned function will be called.
	576	# We return a specific function after checking self.keys
	577	# instead of doing so in the body of the function to
	578	# avoid conditional branching inside a tight loop.
	579	if self.keys:
	580	restore_key = self._restore_pickled_key
383	581	else:
384		args = getargs(obj, classes=self._classes)
385		kwargs = {}
386		if args:
387		args = self._restore(args)
388		if kwargs:
389		kwargs = self._restore(kwargs)
390
391		is_oldstyle = not (isinstance(cls, type) or getattr(cls, '__meta__', None))
392		try:
393		if (not is_oldstyle) and hasattr(cls, '__new__'):
394		# new style classes
395		if factory:
396		instance = cls.__new__(cls, factory, args, *kwargs)
397		instance.default_factory = factory
398		else:
399		instance = cls.__new__(cls, args, *kwargs)
400		else:
401		instance = object.__new__(cls)
402		except TypeError: # old-style classes
403		is_oldstyle = True
404
405		if is_oldstyle:
406		try:
407		instance = cls(*args)
408		except TypeError: # fail gracefully
409		try:
410		instance = make_blank_classic(cls)
411		except Exception: # fail gracefully
412		return self._mkref(obj)
413
414		proxy.reset(instance)
415		self._swapref(proxy, instance)
416
417		if isinstance(instance, tuple):
418		return instance
419
420		instance = self._restore_object_instance_variables(obj, instance)
421
422		if _safe_hasattr(instance, 'default_factory') and isinstance(
423		instance.default_factory, _Proxy
424		):
425		instance.default_factory = instance.default_factory.get()
426
427		return instance
	582
	583	def restore_key(key):
	584	return key
	585
	586	return restore_key
428	587
429	588	def _restore_from_dict(self, obj, instance, ignorereserved=True):
430	589	restore_key = self._restore_key_fn()

456	615	self._namestack.pop()
457	616	continue
458	617	else:
459		setattr(instance, k, value)
	618	if not k.startswith('__'):
	619	try:
	620	setattr(instance, k, value)
	621	except KeyError:
	622	# certain numpy objects require us to prepend a _ to the var
	623	# this should go in the np handler but I think this could be
	624	# useful for other code
	625	setattr(instance, f"_{k}", value)
	626	except dataclasses.FrozenInstanceError:
	627	# issue #240
	628	# i think this is the only way to set frozen dataclass attrs
	629	object.__setattr__(instance, k, value)
	630	else:
	631	setattr(instance, f"_{instance.__class__.__name__}{k}", value)
460	632
461	633	# This instance has an instance variable named `k` that is
462	634	# currently a proxy and must be replaced

469	641	if deferred:
470	642	# SQLAlchemy Immutable mappings must be constructed in one shot
471	643	instance = instance.__class__(deferred)
472
473		return instance
474
475		def _restore_object_instance_variables(self, obj, instance):
476		instance = self._restore_from_dict(obj, instance)
477
478		# Handle list and set subclasses
479		if has_tag(obj, tags.SEQ):
480		if hasattr(instance, 'append'):
481		for v in obj[tags.SEQ]:
482		instance.append(self._restore(v))
483		elif hasattr(instance, 'add'):
484		for v in obj[tags.SEQ]:
485		instance.add(self._restore(v))
486
487		if has_tag(obj, tags.STATE):
488		instance = self._restore_state(obj, instance)
489	644
490	645	return instance
491	646

518	673	instance = state
519	674	return instance
520	675
521		def _restore_list(self, obj):
522		parent = []
523		self._mkref(parent)
524		children = [self._restore(v) for v in obj]
525		parent.extend(children)
526		method = _obj_setvalue
527		proxies = [
528		(parent, idx, value, method)
529		for idx, value in enumerate(parent)
530		if isinstance(value, _Proxy)
531		]
532		self._proxies.extend(proxies)
533		return parent
534
535		def _restore_tuple(self, obj):
536		return tuple([self._restore(v) for v in obj[tags.TUPLE]])
	676	def _restore_object_instance_variables(self, obj, instance):
	677	instance = self._restore_from_dict(obj, instance)
	678
	679	# Handle list and set subclasses
	680	if has_tag(obj, tags.SEQ):
	681	if hasattr(instance, 'append'):
	682	for v in obj[tags.SEQ]:
	683	instance.append(self._restore(v))
	684	elif hasattr(instance, 'add'):
	685	for v in obj[tags.SEQ]:
	686	instance.add(self._restore(v))
	687
	688	if has_tag(obj, tags.STATE):
	689	instance = self._restore_state(obj, instance)
	690
	691	return instance
	692
	693	def _restore_object_instance(self, obj, cls, class_name=""):
	694	# This is a placeholder proxy object which allows child objects to
	695	# reference the parent object before it has been instantiated.
	696	proxy = _Proxy()
	697	self._mkref(proxy)
	698
	699	# An object can install itself as its own factory, so load the factory
	700	# after the instance is available for referencing.
	701	factory = self._loadfactory(obj)
	702
	703	if has_tag(obj, tags.NEWARGSEX):
	704	args, kwargs = obj[tags.NEWARGSEX]
	705	else:
	706	args = getargs(obj, classes=self._classes)
	707	kwargs = {}
	708	if args:
	709	args = self._restore(args)
	710	if kwargs:
	711	kwargs = self._restore(kwargs)
	712
	713	is_oldstyle = not (isinstance(cls, type) or getattr(cls, '__meta__', None))
	714	try:
	715	if (not is_oldstyle) and hasattr(cls, '__new__'):
	716	# new style classes
	717	if factory:
	718	instance = cls.__new__(cls, factory, args, *kwargs)
	719	instance.default_factory = factory
	720	else:
	721	instance = cls.__new__(cls, args, *kwargs)
	722	else:
	723	instance = object.__new__(cls)
	724	except TypeError: # old-style classes
	725	is_oldstyle = True
	726
	727	if is_oldstyle:
	728	try:
	729	instance = cls(*args)
	730	except TypeError: # fail gracefully
	731	try:
	732	instance = make_blank_classic(cls)
	733	except Exception: # fail gracefully
	734	self._process_missing(class_name)
	735	return self._mkref(obj)
	736
	737	proxy.reset(instance)
	738	self._swapref(proxy, instance)
	739
	740	if isinstance(instance, tuple):
	741	return instance
	742
	743	instance = self._restore_object_instance_variables(obj, instance)
	744
	745	if _safe_hasattr(instance, 'default_factory') and isinstance(
	746	instance.default_factory, _Proxy
	747	):
	748	instance.default_factory = instance.default_factory.get()
	749
	750	return instance
	751
	752	def _restore_object(self, obj):
	753	class_name = obj[tags.OBJECT]
	754	cls = loadclass(class_name, classes=self._classes)
	755	handler = handlers.get(cls, handlers.get(class_name))
	756	if handler is not None: # custom handler
	757	proxy = _Proxy()
	758	self._mkref(proxy)
	759	instance = handler(self).restore(obj)
	760	proxy.reset(instance)
	761	self._swapref(proxy, instance)
	762	return instance
	763
	764	if cls is None:
	765	return self._mkref(obj)
	766
	767	return self._restore_object_instance(obj, cls, class_name)
	768
	769	def _restore_function(self, obj):
	770	return loadclass(obj[tags.FUNCTION], classes=self._classes)
537	771
538	772	def _restore_set(self, obj):
539	773	return {self._restore(v) for v in obj[tags.SET]}
540	774
541	775	def _restore_dict(self, obj):
542	776	data = {}
543		self._mkref(data)
	777	if not self.v1_decode:
	778	self._mkref(data)
544	779
545	780	# If we are decoding dicts that can have non-string keys then we
546	781	# need to do a two-phase decode where the non-string keys are

585	820	self._namestack.pop()
586	821	return data
587	822
588		def _restore_key_fn(self):
589		"""Return a callable that restores keys
590
591		This function is responsible for restoring non-string keys
592		when we are decoding with `keys=True`.
593
594		"""
595		# This function is called before entering a tight loop
596		# where the returned function will be called.
597		# We return a specific function after checking self.keys
598		# instead of doing so in the body of the function to
599		# avoid conditional branching inside a tight loop.
600		if self.keys:
601		restore_key = self._restore_pickled_key
	823	def _restore_tuple(self, obj):
	824	return tuple([self._restore(v) for v in obj[tags.TUPLE]])
	825
	826	def _restore_tags(self, obj):
	827	try:
	828	if not tags.RESERVED <= set(obj) and not type(obj) in (list, dict):
	829
	830	def restore(x):
	831	return x
	832
	833	return restore
	834	except TypeError:
	835	pass
	836	if type(obj) is dict:
	837	if tags.TUPLE in obj:
	838	restore = self._restore_tuple
	839	elif tags.SET in obj:
	840	restore = self._restore_set
	841	elif tags.B64 in obj:
	842	restore = self._restore_base64
	843	elif tags.B85 in obj:
	844	restore = self._restore_base85
	845	elif tags.ID in obj:
	846	restore = self._restore_id
	847	elif tags.ITERATOR in obj:
	848	restore = self._restore_iterator
	849	elif tags.OBJECT in obj:
	850	restore = self._restore_object
	851	elif tags.TYPE in obj:
	852	restore = self._restore_type
	853	elif tags.REDUCE in obj:
	854	restore = self._restore_reduce
	855	elif tags.FUNCTION in obj:
	856	restore = self._restore_function
	857	elif tags.REPR in obj: # Backwards compatibility
	858	restore = self._restore_repr
	859	else:
	860	restore = self._restore_dict
	861	elif util.is_list(obj):
	862	restore = self._restore_list
602	863	else:
603	864
604		def restore_key(key):
605		return key
606
607		return restore_key
608
609		def _restore_pickled_key(self, key):
610		"""Restore a possibly pickled key"""
611		if _is_json_key(key):
612		key = decode(
613		key[len(tags.JSON_KEY) :],
614		backend=self.backend,
615		context=self,
616		keys=True,
617		reset=False,
618		)
619		return key
620
621		def _refname(self):
622		"""Calculates the name of the current location in the JSON stack.
623
624		This is called as jsonpickle traverses the object structure to
625		create references to previously-traversed objects. This allows
626		cyclical data structures such as doubly-linked lists.
627		jsonpickle ensures that duplicate python references to the same
628		object results in only a single JSON object definition and
629		special reference tags to represent each reference.
630
631		>>> u = Unpickler()
632		>>> u._namestack = []
633		>>> u._refname() == '/'
634		True
635		>>> u._namestack = ['a']
636		>>> u._refname() == '/a'
637		True
638		>>> u._namestack = ['a', 'b']
639		>>> u._refname() == '/a/b'
640		True
641
642		"""
643		return '/' + '/'.join(self._namestack)
644
645		def _mkref(self, obj):
646		obj_id = id(obj)
647		try:
648		self._obj_to_idx[obj_id]
649		except KeyError:
650		self._obj_to_idx[obj_id] = len(self._objs)
651		self._objs.append(obj)
652		# Backwards compatibility: old versions of jsonpickle
653		# produced "py/ref" references.
654		self._namedict[self._refname()] = obj
655		return obj
656
657		def _swapref(self, proxy, instance):
658		proxy_id = id(proxy)
659		instance_id = id(instance)
660
661		instance_index = self._obj_to_idx[proxy_id]
662		self._obj_to_idx[instance_id] = instance_index
663		del self._obj_to_idx[proxy_id]
664
665		self._objs[instance_index] = instance
666		self._namedict[self._refname()] = instance
667
668
669		def loadclass(module_and_name, classes=None):
670		"""Loads the module and returns the class.
671
672		>>> cls = loadclass('datetime.datetime')
673		>>> cls.__name__
674		'datetime'
675
676		>>> loadclass('does.not.exist')
677
678		>>> loadclass('builtins.int')()
679		0
680
681		"""
682		# Check if the class exists in a caller-provided scope
683		if classes:
684		try:
685		return classes[module_and_name]
686		except KeyError:
687		pass
688		# Otherwise, load classes from globally-accessible imports
689		names = module_and_name.split('.')
690		# First assume that everything up to the last dot is the module name,
691		# then try other splits to handle classes that are defined within
692		# classes
693		for up_to in range(len(names) - 1, 0, -1):
694		module = util.untranslate_module_name('.'.join(names[:up_to]))
695		try:
696		__import__(module)
697		obj = sys.modules[module]
698		for class_name in names[up_to:]:
699		obj = getattr(obj, class_name)
700		return obj
701		except (AttributeError, ImportError, ValueError):
702		continue
703		return None
704
705
706		def getargs(obj, classes=None):
707		"""Return arguments suitable for __new__()"""
708		# Let saved newargs take precedence over everything
709		if has_tag(obj, tags.NEWARGSEX):
710		raise ValueError("__newargs_ex__ returns both args and kwargs")
711
712		if has_tag(obj, tags.NEWARGS):
713		return obj[tags.NEWARGS]
714
715		if has_tag(obj, tags.INITARGS):
716		return obj[tags.INITARGS]
717
718		try:
719		seq_list = obj[tags.SEQ]
720		obj_dict = obj[tags.OBJECT]
721		except KeyError:
722		return []
723		typeref = loadclass(obj_dict, classes=classes)
724		if not typeref:
725		return []
726		if hasattr(typeref, '_fields'):
727		if len(typeref._fields) == len(seq_list):
728		return seq_list
729		return []
730
731
732		class _trivialclassic:
733		"""
734		A trivial class that can be instantiated with no args
735		"""
736
737
738		def make_blank_classic(cls):
739		"""
740		Implement the mandated strategy for dealing with classic classes
741		which cannot be instantiated without __getinitargs__ because they
742		take parameters
743		"""
744		instance = _trivialclassic()
745		instance.__class__ = cls
746		return instance
747
748
749		def loadrepr(reprstr):
750		"""Returns an instance of the object from the object's repr() string.
751		It involves the dynamic specification of code.
752
753		>>> obj = loadrepr('datetime/datetime.datetime.now()')
754		>>> obj.__class__.__name__
755		'datetime'
756
757		"""
758		module, evalstr = reprstr.split('/')
759		mylocals = locals()
760		localname = module
761		if '.' in localname:
762		localname = module.split('.', 1)[0]
763		mylocals[localname] = __import__(module)
764		return eval(evalstr)
765
766
767		def has_tag(obj, tag):
768		"""Helper class that tests to see if the obj is a dictionary
769		and contains a particular key/tag.
770
771		>>> obj = {'test': 1}
772		>>> has_tag(obj, 'test')
773		True
774		>>> has_tag(obj, 'fail')
775		False
776
777		>>> has_tag(42, 'fail')
778		False
779
780		"""
781		return type(obj) is dict and tag in obj
	865	def restore(x):
	866	return x
	867
	868	return restore

+49

-73

jsonpickle/util.py less more

8	8	determining the type of an object.
9	9	"""
10	10	from __future__ import absolute_import, division, unicode_literals
	11
11	12	import base64
12	13	import collections
	14	import inspect
13	15	import io
14	16	import operator
15	17	import sys
16	18	import time
17	19	import types
18		import inspect
19
20		from . import tags
21		from . import compat
22		from .compat import (
23		abc_iterator,
24		class_types,
25		iterator_types,
26		numeric_types,
27		PY2,
28		PY3,
29		PY3_ORDERED_DICT,
30		)
31
32		if PY2:
33		import __builtin__
	20
	21	from . import compat, tags
	22	from .compat import abc_iterator, class_types, iterator_types, numeric_types
34	23
35	24	SEQUENCES = (list, set, tuple)
36	25	SEQUENCES_SET = {list, set, tuple}

44	33	}
45	34	NON_REDUCIBLE_TYPES = (
46	35	{
47		int,
48		float,
49	36	list,
50	37	dict,
51	38	set,

56	43	\| PRIMITIVES
57	44	\| FUNCTION_TYPES
58	45	)
	46	NON_CLASS_TYPES = {
	47	list,
	48	dict,
	49	set,
	50	tuple,
	51	bytes,
	52	} \| PRIMITIVES
59	53
60	54
61	55	def is_type(obj):

110	104	return True
111	105
112	106	# at this point, the method has to be an instancemthod or a classmethod
113		self_attr = '__self__' if PY3 else 'im_self'
114		if not hasattr(func, self_attr):
115		return False
116		bound_to = getattr(func, self_attr)
	107	if not hasattr(func, '__self__'):
	108	return False
	109	bound_to = getattr(func, '__self__')
117	110
118	111	# class methods
119	112	if isinstance(original, classmethod):

138	131	return isinstance(obj, object) and not isinstance(
139	132	obj, (type, types.FunctionType, types.BuiltinFunctionType)
140	133	)
	134
	135
	136	def is_not_class(obj):
	137	"""Determines if the object is not a class or a class instance.
	138	Used for serializing properties.
	139	"""
	140	return type(obj) in NON_CLASS_TYPES
141	141
142	142
143	143	def is_primitive(obj):

247	247	"""
248	248	return (
249	249	hasattr(obj, '__class__')
250		and (issubclass(obj.__class__, SEQUENCES) or is_list_like(obj))
	250	and issubclass(obj.__class__, SEQUENCES)
251	251	and not is_sequence(obj)
252	252	)
253	253

355	355
356	356
357	357	def is_iterator(obj):
358		is_file = PY2 and isinstance(obj, __builtin__.file)
359		return (
360		isinstance(obj, abc_iterator) and not isinstance(obj, io.IOBase) and not is_file
361		)
	358	return isinstance(obj, abc_iterator) and not isinstance(obj, io.IOBase)
362	359
363	360
364	361	def is_collections(obj):

380	377	# defaultdicts may contain functions which we cannot serialise
381	378	if is_collections(obj) and not isinstance(obj, collections.defaultdict):
382	379	return True
383		# sets are slightly slower in this case
384		if type(obj) in NON_REDUCIBLE_TYPES:
385		return False
386		elif obj is object:
387		return False
388		elif is_list_like(obj):
389		return False
390		elif isinstance(obj, types.ModuleType):
391		return False
392		elif is_dictionary_subclass(obj):
393		return False
394		elif is_reducible_sequence_subclass(obj):
395		return False
396		elif isinstance(getattr(obj, '__slots__', None), iterator_types):
397		return False
398		elif is_type(obj) and obj.__module__ == 'datetime':
399		return False
	380	# We turn off the formatting in order to double the speed of the function.
	381	# Condensing it into one line seems to save the parser a lot of time.
	382	# fmt: off
	383	# pylint: disable=line-too-long
	384	if type(obj) in NON_REDUCIBLE_TYPES or obj is object or is_dictionary_subclass(obj) or isinstance(obj, types.ModuleType) or is_reducible_sequence_subclass(obj) or is_list_like(obj) or isinstance(getattr(obj, '__slots__', None), iterator_types) or (is_type(obj) and obj.__module__ == 'datetime'): # noqa: E501
	385	return False
	386	# fmt: on
400	387	return True
401	388
402	389

488	475	return lookup.get(module, module)
489	476
490	477
491		def untranslate_module_name(module):
492		"""Rename module names mention in JSON to names that we can import
493
494		This reverses the translation applied by translate_module_name() to
495		a module name available to the current version of Python.
496
497		"""
498		module = _0_9_6_compat_untranslate(module)
499		lookup = dict(builtins='__builtin__') if PY2 else {}
500		return lookup.get(module, module)
501
502
503	478	def _0_9_6_compat_untranslate(module):
504	479	"""Provide compatibility for pickles created with jsonpickle 0.9.6 and
505	480	earlier, remapping `exceptions` and `__builtin__` to `builtins`.

508	483	return lookup.get(module, module)
509	484
510	485
	486	def untranslate_module_name(module):
	487	"""Rename module names mention in JSON to names that we can import
	488
	489	This reverses the translation applied by translate_module_name() to
	490	a module name available to the current version of Python.
	491
	492	"""
	493	return _0_9_6_compat_untranslate(module)
	494
	495
511	496	def importable_name(cls):
512	497	"""
513	498	>>> class Example(object):

529	514	# Use the fully-qualified name if available (Python >= 3.3)
530	515	name = getattr(cls, '__qualname__', cls.__name__)
531	516	module = translate_module_name(cls.__module__)
	517	if not module:
	518	if hasattr(cls, '__self__'):
	519	module = cls.__self__.__class__.__module__
532	520	return '{}.{}'.format(module, name)
533	521
534	522

550	538	"""
551	539	Encode binary data to ascii text in base85. Data must be bytes.
552	540	"""
553		if PY2:
554		raise NotImplementedError("Python 2 can't encode data in base85.")
555	541	return base64.b85encode(data).decode('ascii')
556	542
557	543

559	545	"""
560	546	Decode payload - must be ascii text.
561	547	"""
562		if PY2:
563		raise NotImplementedError("Python 2 can't decode base85-encoded data.")
564	548	return base64.b85decode(payload)
565	549
566	550

569	553
570	554
571	555	def items(obj):
572		"""Iterate over dicts in a deterministic order
573
574		Python2 does not guarantee dict ordering, so this function
575		papers over the difference in behavior. Python3 does guarantee
576		dict order, without use of OrderedDict, so no sorting is needed there.
577
578		"""
579		if PY3_ORDERED_DICT:
580		for k, v in obj.items():
581		yield k, v
582		else:
583		for k, v in sorted(obj.items(), key=itemgetter):
584		yield k, v
	556	"""
	557	TODO: Replace all calls to this with plain dict.items()
	558	"""
	559	for k, v in obj.items():
	560	yield k, v

+161

-133

jsonpickle.egg-info/PKG-INFO less more

0	0	Metadata-Version: 2.1
1	1	Name: jsonpickle
2		Version: 2.0.0
	2	Version: 3.0.0
3	3	Summary: Python library for serializing any arbitrary object graph into JSON
4	4	Home-page: https://github.com/jsonpickle/jsonpickle
5	5	Author: David Aguilar
6	6	Author-email: davvid@gmail.com
7	7	License: UNKNOWN
8		Description: .. image:: https://img.shields.io/pypi/v/jsonpickle.svg
9		:target: `PyPI link`_
10
11		.. image:: https://img.shields.io/pypi/pyversions/jsonpickle.svg
12		:target: `PyPI link`_
13
14		.. _PyPI link: https://pypi.org/project/jsonpickle
15
16		.. image:: https://dev.azure.com/jaraco/jsonpickle/_apis/build/status/jaraco.jsonpickle?branchName=master
17		:target: https://dev.azure.com/jaraco/jsonpickle/_build/latest?definitionId=1&branchName=master
18
19		.. image:: https://readthedocs.org/projects/jsonpickle/badge/?version=latest
20		:target: https://jsonpickle.readthedocs.io/en/latest/?badge=latest
21
22		.. image:: https://travis-ci.org/jsonpickle/jsonpickle.svg?branch=master
23		:target: https://travis-ci.org/jsonpickle/jsonpickle
24		:alt: travis
25
26		.. image:: https://img.shields.io/badge/License-BSD%203--Clause-blue.svg
27		:target: https://github.com/jsonpickle/jsonpickle/blob/master/COPYING
28		:alt: BSD
29
30
31		jsonpickle
32		==========
33		jsonpickle is a library for the two-way conversion of complex Python objects
34		and `JSON <http://json.org/>`_. jsonpickle builds upon the existing JSON
35		encoders, such as simplejson, json, and demjson.
36
37		For complete documentation, please visit the
38		`jsonpickle documentation <http://jsonpickle.readthedocs.io/>`_.
39
40		Bug reports and merge requests are encouraged at the
41		`jsonpickle repository on github <https://github.com/jsonpickle/jsonpickle>`_.
42
43		jsonpickle supports Python 2.7 and Python 3.4 or greater.
44
45		WARNING:
46		jsonpickle can execute arbitrary Python code. Do not load jsonpickles from untrusted / unauthenticated sources.
47
48		Why jsonpickle?
49		===============
50		Data serialized with python's pickle (or cPickle or dill) is not easily readable outside of python. Using the json format, jsonpickle allows simple data types to be stored in a human-readable format, and more complex data types such as numpy arrays and pandas dataframes, to be machine-readable on any platform that supports json. E.g., unlike pickled data, jsonpickled data stored in an Amazon S3 bucket is indexible by Amazon's Athena.
51
52		Install
53		=======
54
55		Install from pip for the latest stable release:
56
57		::
58
59		pip install jsonpickle
60
61		Install from github for the latest changes:
62
63		::
64
65		pip install git+https://github.com/jsonpickle/jsonpickle.git
66
67		If you have the files checked out for development:
68
69		::
70
71		git clone https://github.com/jsonpickle/jsonpickle.git
72		cd jsonpickle
73		python setup.py develop
74
75
76		Numpy Support
77		=============
78		jsonpickle includes a built-in numpy extension. If would like to encode
79		sklearn models, numpy arrays, and other numpy-based data then you must
80		enable the numpy extension by registering its handlers::
81
82		>>> import jsonpickle.ext.numpy as jsonpickle_numpy
83		>>> jsonpickle_numpy.register_handlers()
84
85		Pandas Support
86		==============
87		jsonpickle includes a built-in pandas extension. If would like to encode
88		pandas DataFrame or Series objects then you must enable the pandas extension
89		by registering its handlers::
90
91		>>> import jsonpickle.ext.pandas as jsonpickle_pandas
92		>>> jsonpickle_pandas.register_handlers()
93
94		jsonpickleJS
95		============
96		`jsonpickleJS <https://github.com/cuthbertLab/jsonpickleJS>`_
97		is a javascript implementation of jsonpickle by Michael Scott Cuthbert.
98		jsonpickleJS can be extremely useful for projects that have parallel data
99		structures between Python and Javascript.
100
101		License
102		=======
103		Licensed under the BSD License. See COPYING for details.
104		See jsonpickleJS/LICENSE for details about the jsonpickleJS license.
105
106		Development
107		===========
108
109		Use `make` to run the unit tests::
110
111		make test
112
113		`pytest` is used to run unit tests internally.
114
115		A `tox` target is provided to run tests using tox.
116		Setting ``multi=1`` tests using all installed and supported Python versions::
117
118		make tox
119		make tox multi=1
120
121		`jsonpickle` itself has no dependencies beyond the Python stdlib.
122		`tox` is required for testing when using the `tox` test runner only.
123
124		The testing requirements are specified in `requirements-dev.txt`.
125		It is recommended to create a virtualenv and run tests from within the
126		virtualenv, or use a tool such as `vx <https://github.com/davvid/vx/>`_
127		to activate the virtualenv without polluting the shell environment::
128
129		python3 -mvenv env3x
130		vx env3x pip install --requirement requirements-dev.txt
131		vx env3x make test
132
133		`jsonpickle` supports multiple Python versions, so using a combination of
134		multiple virtualenvs and `tox` is useful in order to catch compatibility
135		issues when developing.
136
137	8	Keywords: json pickle,json,pickle,marshal,serialization,JavaScript Object Notation
138	9	Platform: POSIX
139	10	Platform: Windows

141	12	Classifier: Intended Audience :: Developers
142	13	Classifier: License :: OSI Approved :: BSD License
143	14	Classifier: Programming Language :: Python
144		Classifier: Programming Language :: Python :: 2
145		Classifier: Programming Language :: Python :: 2.7
146	15	Classifier: Programming Language :: Python :: 3
	16	Classifier: Programming Language :: Python :: 3.7
	17	Classifier: Programming Language :: Python :: 3.8
	18	Classifier: Programming Language :: Python :: 3.9
	19	Classifier: Programming Language :: Python :: 3.10
147	20	Classifier: Programming Language :: JavaScript
148	21	Classifier: Operating System :: OS Independent
149	22	Classifier: Topic :: Software Development :: Libraries :: Python Modules
150		Requires-Python: >=2.7
	23	Requires-Python: >=3.7
151	24	Provides-Extra: testing
152	25	Provides-Extra: testing.libs
153	26	Provides-Extra: docs
	27	License-File: LICENSE
	28
	29	.. image:: https://img.shields.io/pypi/v/jsonpickle.svg
	30	:target: `PyPI link`_
	31
	32	.. image:: https://img.shields.io/pypi/pyversions/jsonpickle.svg
	33	:target: `PyPI link`_
	34
	35	.. _PyPI link: https://pypi.org/project/jsonpickle
	36
	37	.. image:: https://readthedocs.org/projects/jsonpickle/badge/?version=latest
	38	:target: https://jsonpickle.readthedocs.io/en/latest/?badge=latest
	39
	40	.. image:: https://github.com/jsonpickle/jsonpickle/actions/workflows/test.yml/badge.svg
	41	:target: https://github.com/jsonpickle/jsonpickle/actions
	42	:alt: Github Actions
	43
	44	.. image:: https://img.shields.io/badge/License-BSD%203--Clause-blue.svg
	45	:target: https://github.com/jsonpickle/jsonpickle/blob/main/COPYING
	46	:alt: BSD
	47
	48
	49	jsonpickle
	50	==========
	51	jsonpickle is a library for the two-way conversion of complex Python objects
	52	and `JSON <http://json.org/>`_. jsonpickle builds upon the existing JSON
	53	encoders, such as simplejson, json, and ujson.
	54
	55	.. warning::
	56
	57	jsonpickle can execute arbitrary Python code.
	58
	59	Please see the Security section for more details.
	60
	61
	62	For complete documentation, please visit the
	63	`jsonpickle documentation <http://jsonpickle.readthedocs.io/>`_.
	64
	65	Bug reports and merge requests are encouraged at the
	66	`jsonpickle repository on github <https://github.com/jsonpickle/jsonpickle>`_.
	67
	68	jsonpickle officially supports CPython 2.7 and CPython 3.6 or greater. Version support below CPython 3.7 will be dropped upon release of jsonpickle 3.0.
	69
	70	Why jsonpickle?
	71	===============
	72	Data serialized with python's pickle (or cPickle or dill) is not easily readable outside of python. Using the json format, jsonpickle allows simple data types to be stored in a human-readable format, and more complex data types such as numpy arrays and pandas dataframes, to be machine-readable on any platform that supports json. E.g., unlike pickled data, jsonpickled data stored in an Amazon S3 bucket is indexible by Amazon's Athena.
	73
	74	Security
	75	========
	76
	77	jsonpickle should be treated the same as the
	78	`Python stdlib pickle module <https://docs.python.org/3/library/pickle.html>`_
	79	from a security perspective.
	80
	81	.. warning::
	82
	83	The jsonpickle module is not secure. Only unpickle data you trust.
	84
	85	It is possible to construct malicious pickle data which will **execute
	86	arbitrary code during unpickling**. Never unpickle data that could have come
	87	from an untrusted source, or that could have been tampered with.
	88
	89	Consider signing data with an HMAC if you need to ensure that it has not
	90	been tampered with.
	91
	92	Safer deserialization approaches, such as reading JSON directly,
	93	may be more appropriate if you are processing untrusted data.
	94
	95
	96	Install
	97	=======
	98
	99	Install from pip for the latest stable release:
	100
	101	::
	102
	103	pip install jsonpickle
	104
	105	Install from github for the latest changes:
	106
	107	::
	108
	109	pip install git+https://github.com/jsonpickle/jsonpickle.git
	110
	111	If you have the files checked out for development:
	112
	113	::
	114
	115	git clone https://github.com/jsonpickle/jsonpickle.git
	116	cd jsonpickle
	117	python setup.py develop
	118
	119
	120	Numpy Support
	121	=============
	122	jsonpickle includes a built-in numpy extension. If would like to encode
	123	sklearn models, numpy arrays, and other numpy-based data then you must
	124	enable the numpy extension by registering its handlers::
	125
	126	>>> import jsonpickle.ext.numpy as jsonpickle_numpy
	127	>>> jsonpickle_numpy.register_handlers()
	128
	129	Pandas Support
	130	==============
	131	jsonpickle includes a built-in pandas extension. If would like to encode
	132	pandas DataFrame or Series objects then you must enable the pandas extension
	133	by registering its handlers::
	134
	135	>>> import jsonpickle.ext.pandas as jsonpickle_pandas
	136	>>> jsonpickle_pandas.register_handlers()
	137
	138	jsonpickleJS
	139	============
	140	`jsonpickleJS <https://github.com/cuthbertLab/jsonpickleJS>`_
	141	is a javascript implementation of jsonpickle by Michael Scott Cuthbert.
	142	jsonpickleJS can be extremely useful for projects that have parallel data
	143	structures between Python and Javascript.
	144
	145	License
	146	=======
	147	Licensed under the BSD License. See COPYING for details.
	148	See jsonpickleJS/LICENSE for details about the jsonpickleJS license.
	149
	150	Development
	151	===========
	152
	153	Use `make` to run the unit tests::
	154
	155	make test
	156
	157	`pytest` is used to run unit tests internally.
	158
	159	A `tox` target is provided to run tests using tox.
	160	Setting ``multi=1`` tests using all installed and supported Python versions::
	161
	162	make tox
	163	make tox multi=1
	164
	165	`jsonpickle` itself has no dependencies beyond the Python stdlib.
	166	`tox` is required for testing when using the `tox` test runner only.
	167
	168	The testing requirements are specified in `requirements-dev.txt`.
	169	It is recommended to create a virtualenv and run tests from within the
	170	virtualenv, or use a tool such as `vx <https://github.com/davvid/vx/>`_
	171	to activate the virtualenv without polluting the shell environment::
	172
	173	python3 -mvenv env3x
	174	vx env3x pip install --requirement requirements-dev.txt
	175	vx env3x make test
	176
	177	`jsonpickle` supports multiple Python versions, so using a combination of
	178	multiple virtualenvs and `tox` is useful in order to catch compatibility
	179	issues when developing.
	180
	181

+12

-1

jsonpickle.egg-info/SOURCES.txt less more

0	0	.coveragerc
1	1	.flake8
2	2	.gitignore
	3	.isort.cfg
3	4	.pre-commit-config.yaml
4	5	.readthedocs.yml
5		.travis.yml
	6	BENCHMARKS.md
6	7	CHANGES.rst
7	8	LICENSE
8	9	Makefile

10	11	appveyor.yml
11	12	azure-pipelines.yml
12	13	conftest.py
	14	jsonpickle_benchmarks.py
13	15	pyproject.toml
14	16	pytest.ini
15	17	requirements-dev.txt

18	20	skeleton.md
19	21	tox.ini
20	22	.github/FUNDING.yml
	23	.github/workflows/lint.yml
	24	.github/workflows/test.yml
21	25	contrib/copy-docs
22	26	contrib/pyqt-reduce-handler.py
23	27	docs/api.rst

27	31	docs/history.rst
28	32	docs/index.rst
29	33	docs/requirements.txt
	34	images/jsonpickle-0.9.6.svg
	35	images/jsonpickle-1.5.1.svg
	36	images/jsonpickle-1.5.2.svg
	37	images/jsonpickle-2.2.0.svg
	38	images/jsonpickle-3.0.0-dev.svg
30	39	jsonpickle/__init__.py
31	40	jsonpickle/backend.py
32	41	jsonpickle/compat.py
	42	jsonpickle/errors.py
33	43	jsonpickle/handlers.py
34	44	jsonpickle/pickler.py
35	45	jsonpickle/tags.py

42	52	jsonpickle.egg-info/requires.txt
43	53	jsonpickle.egg-info/top_level.txt
44	54	jsonpickle/ext/__init__.py
	55	jsonpickle/ext/gmpy.py
45	56	jsonpickle/ext/numpy.py
46	57	jsonpickle/ext/pandas.py
47	58	jsonpickleJS/.gitignore

-11

jsonpickle.egg-info/requires.txt less more

0	0
1	1	[:python_version < "3.8"]
2	2	importlib_metadata
	3
	4	[:python_version > "3.10"]
	5	setuptools<59
3	6
4	7	[docs]
5	8	sphinx

7	10	rst.linker>=1.9
8	11
9	12	[testing]
10		coverage<5
11	13	pytest!=3.7.3,>=3.5
12	14	pytest-checkdocs>=1.2.3
13		pytest-flake8
	15	pytest-flake8>=1.1.1
14	16	pytest-black-multipy
15	17	pytest-cov
16	18	ecdsa
17	19	feedparser
	20	gmpy2
18	21	numpy
19	22	pandas
20	23	pymongo
21		sklearn
	24	scikit-learn
22	25	sqlalchemy
23	26
24	27	[testing.libs]
25		demjson
26	28	simplejson
27	29	ujson
28
29		[testing.libs:python_version < "3.8"]
30		yajl
31
32		[testing:python_version == "2.7"]
33		enum34
34		jsonlib

+326

-0

jsonpickle_benchmarks.py less more

	0	"""
	1	Run "make benchmark" in the directory that this file is in.
	2	This will test the version of jsonpickle inside the local directory,
	3	NOT the pip installed version.
	4	To test the pip installed version, run this outside the jsonpickle directory:
	5	py.test --benchmark-only ./jsonpickle_benchmarks.py --benchmark-histogram
	6	MAKE SURE you have pytest-benchmark pip installed.
	7
	8	Names of tests are shortened so they don't take up too much space on the histogram
	9	"""
	10	import itertools
	11
	12	import jsonpickle
	13
	14	# DEFINTIIONS:
	15	# HOMOGENOUS - Except for sets, each container may only have integers, floats, strings,
	16	# and itself inside it
	17	# HETEROGENOUS - Except for sets, each container must have at least one of every other
	18	# container type being tested
	19	# SIMPLE - Each container must have two each of integers, floats, and strings
	20	# COMPLEX - Each container must have four each of integers, floats, and strings
	21
	22	# SETUP
	23	###################################################################################
	24
	25
	26	class SlotPickleMixin(object):
	27	def __getstate__(self):
	28	all_slots = itertools.chain.from_iterable(
	29	getattr(cls, '__slots__', []) for cls in self.__class__.__mro__
	30	)
	31	return dict(
	32	(slot, getattr(self, slot)) for slot in all_slots if hasattr(self, slot)
	33	)
	34
	35	def __setstate__(self, state):
	36	for slot, value in dict(state).items():
	37	setattr(self, slot, value)
	38
	39
	40	class MyClass(object):
	41	__slots__ = ['idk', 'idk2']
	42
	43	def __init__(self):
	44	self.idk = {
	45	'a': 0,
	46	'b': [0.5783, 1, 2.5789],
	47	'c': {0, 1.87559, 2},
	48	'd': ['0', '1', '2'],
	49	'e': {'0', '1', '2'},
	50	'f': {'a': 0, 'b': {'a': 1}},
	51	}
	52	self.idk2 = [
	53	'a',
	54	'b',
	55	'c',
	56	0,
	57	0.18752,
	58	2,
	59	['a', 'b', 'c', 0.8579, 1, 2.59757],
	60	(self.idk, self.idk),
	61	]
	62
	63
	64	class MyClassGetState(SlotPickleMixin):
	65	__slots__ = ['idk', 'idk2']
	66
	67	def __init__(self):
	68	self.idk = {
	69	'a': 0,
	70	'b': [0.5783, 1, 2.5789],
	71	'c': {0, 1.87559, 2},
	72	'd': ['0', '1', '2'],
	73	'e': {'0', '1', '2'},
	74	'f': {'a': 0, 'b': {'a': 1}},
	75	}
	76	self.idk2 = [
	77	'a',
	78	'b',
	79	'c',
	80	0,
	81	0.18752,
	82	2,
	83	['a', 'b', 'c', 0.8579, 1, 2.59757],
	84	(self.idk, self.idk),
	85	]
	86
	87	def __getstate__(self):
	88	return SlotPickleMixin.__getstate__(self)
	89
	90	def __setstate__(self, object_state):
	91	SlotPickleMixin.__setstate__(self, object_state)
	92
	93
	94	class MyClassSimple(object):
	95	def __init__(self):
	96	self.idk = {'a': 0}
	97	self.idk2 = ['a', 0]
	98
	99
	100	HOMOGENOUS_COMPLEX_DICT = {
	101	'a': 0,
	102	'b': 4.2,
	103	'c': {6.9: 'd'},
	104	-1: {5: 5},
	105	6: {8.42: -2.5},
	106	}
	107	HOMOGENOUS_COMPLEX_LIST = [
	108	'a',
	109	0,
	110	'b',
	111	4.2,
	112	'c',
	113	[6.9, 'd'],
	114	-1,
	115	[5, 5],
	116	6,
	117	[8.42, -2.5],
	118	]
	119	HOMOGENOUS_COMPLEX_TUPLE = (
	120	'a',
	121	0,
	122	'b',
	123	4.2,
	124	'c',
	125	(6.9, 'd'),
	126	-1,
	127	(5, 5),
	128	6,
	129	(8.42, -2.5),
	130	)
	131	# can't put a set inside a set :(
	132	HOMOGENOUS_COMPLEX_SET = {
	133	'a',
	134	0,
	135	'b',
	136	4.2,
	137	'c',
	138	(6.9, 'd'),
	139	-1,
	140	(5, 5),
	141	6,
	142	(8.42, -2.5),
	143	}
	144
	145	HETEROGENOUS_COMPLEX_DICT = {
	146	'a': (0, '1'),
	147	2.53: [3, 1],
	148	'c': {4.2, 6.9},
	149	'd': {1: 5.432},
	150	}
	151	HETEROGENOUS_COMPLEX_LIST = [
	152	'a',
	153	(0, '1'),
	154	2.53,
	155	[3, 1],
	156	'c',
	157	{4.2, 6.9},
	158	'd',
	159	{1: 5.432},
	160	]
	161	HETEROGENOUS_COMPLEX_TUPLE = (
	162	'a',
	163	(0, '1'),
	164	2.53,
	165	[3, 1],
	166	'c',
	167	{4.2, 6.9},
	168	'd',
	169	{1: 5.432},
	170	)
	171	HETEROGENOUS_COMPLEX_SET = {
	172	'a',
	173	(0, '1'),
	174	2.53,
	175	(3, 1),
	176	'c',
	177	(4.2, 6.9),
	178	'd',
	179	(1, 5.432),
	180	}
	181
	182	simple_dict_encoded = jsonpickle.encode({'a': 0, 'b': 4.2, 3: 6.9})
	183	simple_list_encoded = jsonpickle.encode(['a', 0, 'b', 4.2, 3, 6.9])
	184	simple_tuple_encoded = jsonpickle.encode(('a', 0, 'b', 4.2, 3, 6.9))
	185	simple_set_encoded = jsonpickle.encode({'a', 0, 'b', 4.2, 3, 6.9})
	186
	187	homogenous_dict_encoded = jsonpickle.encode(HOMOGENOUS_COMPLEX_DICT)
	188	homogenous_list_encoded = jsonpickle.encode(HOMOGENOUS_COMPLEX_LIST)
	189	homogenous_tuple_encoded = jsonpickle.encode(HOMOGENOUS_COMPLEX_TUPLE)
	190	homogenous_set_encoded = jsonpickle.encode(HOMOGENOUS_COMPLEX_SET)
	191
	192	heterogenous_dict_encoded = jsonpickle.encode(HETEROGENOUS_COMPLEX_DICT)
	193	heterogenous_list_encoded = jsonpickle.encode(HETEROGENOUS_COMPLEX_LIST)
	194	heterogenous_tuple_encoded = jsonpickle.encode(HETEROGENOUS_COMPLEX_TUPLE)
	195	heterogenous_set_encoded = jsonpickle.encode(HETEROGENOUS_COMPLEX_SET)
	196
	197	simple_class_encoded = jsonpickle.encode(MyClassSimple())
	198	class_encoded = jsonpickle.encode(MyClass())
	199	state_class_encoded = jsonpickle.encode(MyClassGetState())
	200	###################################################################################
	201
	202	# SIMPLE PRIMITIVE ENCODE/DECODE
	203
	204
	205	def simple_dict_encode(benchmark):
	206	benchmark(jsonpickle.encode, {'a': 0})
	207
	208
	209	def simple_dict_decode(benchmark):
	210	benchmark(jsonpickle.decode, simple_dict_encoded)
	211
	212
	213	def simple_list_encode(benchmark):
	214	benchmark(jsonpickle.encode, ['a', 0])
	215
	216
	217	def simple_list_decode(benchmark):
	218	benchmark(jsonpickle.decode, simple_list_encoded)
	219
	220
	221	def simple_tuple_encode(benchmark):
	222	benchmark(jsonpickle.encode, ('a', 0))
	223
	224
	225	def simple_tuple_decode(benchmark):
	226	benchmark(jsonpickle.decode, simple_tuple_encoded)
	227
	228
	229	def simple_set_encode(benchmark):
	230	benchmark(jsonpickle.encode, {'a', 0})
	231
	232
	233	def simple_set_decode(benchmark):
	234	benchmark(jsonpickle.decode, simple_set_encoded)
	235
	236
	237	# COMPLEX HOMOGENOUS PRIMITIVE ENCODE/DECODE
	238	def complex_homogenous_dict_encode(benchmark):
	239	benchmark(jsonpickle.encode, HOMOGENOUS_COMPLEX_DICT)
	240
	241
	242	def complex_homogenous_dict_decode(benchmark):
	243	benchmark(jsonpickle.decode, homogenous_dict_encoded)
	244
	245
	246	def complex_homogenous_list_encode(benchmark):
	247	benchmark(jsonpickle.encode, HOMOGENOUS_COMPLEX_LIST)
	248
	249
	250	def complex_homogenous_list_decode(benchmark):
	251	benchmark(jsonpickle.decode, homogenous_list_encoded)
	252
	253
	254	def complex_homogenous_tuple_encode(benchmark):
	255	benchmark(jsonpickle.encode, HOMOGENOUS_COMPLEX_TUPLE)
	256
	257
	258	def complex_homogenous_tuple_decode(benchmark):
	259	benchmark(jsonpickle.decode, homogenous_tuple_encoded)
	260
	261
	262	def complex_homogenous_set_encode(benchmark):
	263	benchmark(jsonpickle.encode, HOMOGENOUS_COMPLEX_SET)
	264
	265
	266	def complex_homogenous_set_decode(benchmark):
	267	benchmark(jsonpickle.decode, homogenous_set_encoded)
	268
	269
	270	# COMPLEX HETEROGENOUS PRIMITIVE ENCODE/DECODE
	271	def complex_heterogenous_dict_encode(benchmark):
	272	benchmark(jsonpickle.encode, HETEROGENOUS_COMPLEX_DICT)
	273
	274
	275	def complex_heterogenous_dict_decode(benchmark):
	276	benchmark(jsonpickle.decode, heterogenous_dict_encoded)
	277
	278
	279	def complex_heterogenous_list_encode(benchmark):
	280	benchmark(jsonpickle.encode, HETEROGENOUS_COMPLEX_LIST)
	281
	282
	283	def complex_heterogenous_list_decode(benchmark):
	284	benchmark(jsonpickle.decode, heterogenous_list_encoded)
	285
	286
	287	def complex_heterogenous_tuple_encode(benchmark):
	288	benchmark(jsonpickle.encode, HETEROGENOUS_COMPLEX_TUPLE)
	289
	290
	291	def complex_heterogenous_tuple_decode(benchmark):
	292	benchmark(jsonpickle.decode, heterogenous_tuple_encoded)
	293
	294
	295	def complex_heterogenous_set_encode(benchmark):
	296	benchmark(jsonpickle.encode, HETEROGENOUS_COMPLEX_SET)
	297
	298
	299	def complex_heterogenous_set_decode(benchmark):
	300	benchmark(jsonpickle.decode, heterogenous_set_encoded)
	301
	302
	303	# CUSTOM CLASS ENCODE/DECODE
	304	def simple_class_encode(benchmark):
	305	benchmark(jsonpickle.encode, MyClassSimple())
	306
	307
	308	def simple_class_decode(benchmark):
	309	benchmark(jsonpickle.decode, simple_class_encoded)
	310
	311
	312	def complex_class_encode(benchmark):
	313	benchmark(jsonpickle.encode, MyClass())
	314
	315
	316	def complex_class_decode(benchmark):
	317	benchmark(jsonpickle.decode, class_encoded)
	318
	319
	320	def state_class_encode(benchmark):
	321	benchmark(jsonpickle.encode, MyClassGetState())
	322
	323
	324	def state_class_decode(benchmark):
	325	benchmark(jsonpickle.decode, state_class_encoded)

-1

pyproject.toml less more

0	0	[build-system]
1		requires = ["setuptools>=42", "wheel", "setuptools_scm[toml]>=3.4.1"]
	1	# setuptools >= 59 seems to break something with distutils on 3.11
	2	requires = ["setuptools>=42,<59", "wheel", "setuptools_scm[toml]>=3.4.1"]
2	3	build-backend = "setuptools.build_meta"
3	4
4	5	[tool.black]

-1

pytest.ini less more

0	0	[pytest]
1	1	norecursedirs=dist build .tox .eggs
2		addopts=--doctest-modules --flake8 --black --cov
	2	addopts=--doctest-modules --cov
3	3	doctest_optionflags=ALLOW_UNICODE ELLIPSIS
4	4	filterwarnings=
5	5	# https://github.com/pytest-dev/pytest/issues/6928
6	6	ignore:direct construction of .*Item has been deprecated:DeprecationWarning
	7	# flake8 conflicts with black otherwise
	8	# we can't make it ignore E501 or else others show up
	9	flake8-max-line-length = 2000
	10	# add this so we dont have to put test_ before the benchmarks
	11	python_functions = test_* simple_* complex_* state_*

-8

requirements-dev.txt less more

0	0	bson
1	1	coverage<5
2		demjson
3	2	ecdsa
4		enum34; python_version < '3.4'
5	3	feedparser
6		jsonlib; python_version < '3.0'
	4	flake8<5
	5	gmpy2
7	6	numpy
8	7	pandas
9	8	pymongo
10	9	pytest
11		pytest-black-multipy
12	10	pytest-cov
13		pytest-flake8
	11	pytest-flake8>=1.1.1
	12	pytest-benchmark
	13	pytest-benchmark[histogram]
	14	scikit-learn
	15	scipy>=1.9.3; python_version>"3.10"
	16	scipy; python_version<="3.10"
14	17	simplejson
15		sklearn
16		sqlalchemy
	18	sqlalchemy>=1.2.19
17	19	ujson
18		yajl; sys_platform != 'win32' and python_version < '3.9'

+12

-10

setup.cfg less more

13	13	Intended Audience :: Developers
14	14	License :: OSI Approved :: BSD License
15	15	Programming Language :: Python
16		Programming Language :: Python :: 2
17		Programming Language :: Python :: 2.7
18	16	Programming Language :: Python :: 3
	17	Programming Language :: Python :: 3.7
	18	Programming Language :: Python :: 3.8
	19	Programming Language :: Python :: 3.9
	20	Programming Language :: Python :: 3.10
19	21	Programming Language :: JavaScript
20	22	Operating System :: OS Independent
21	23	Topic :: Software Development :: Libraries :: Python Modules

30	32	serialization
31	33	JavaScript Object Notation
32	34
	35	[tool:pytest]
	36	flake8-ignore = E501
	37
33	38	[options]
34	39	packages = find:
35	40	include_package_data = true
36		python_requires = >=2.7
	41	python_requires = >=3.7
37	42	install_requires =
38	43	importlib_metadata; python_version<"3.8"
	44	setuptools<59; python_version>"3.10"
39	45	setup_requires = setuptools_scm[toml] >= 3.4.1
40	46
41	47	[options.extras_require]
42	48	testing =
43		coverage < 5
44	49	pytest >= 3.5, !=3.7.3
45	50	pytest-checkdocs >= 1.2.3
46		pytest-flake8
	51	pytest-flake8 >= 1.1.1
47	52	pytest-black-multipy
48	53	pytest-cov
49	54
50	55	ecdsa
51		enum34; python_version=="2.7"
52	56	feedparser
53		jsonlib; python_version=="2.7"
	57	gmpy2
54	58	numpy
55	59	pandas
56	60	pymongo
57		sklearn
	61	scikit-learn
58	62	sqlalchemy
59	63	testing.libs =
60		demjson
61	64	simplejson
62	65	ujson
63		yajl; python_version<"3.8"
64	66	docs =
65	67	sphinx
66	68	jaraco.packaging >= 3.2

+28

-49

tests/backend_test.py less more

0	0	from __future__ import absolute_import, division, unicode_literals
	1
1	2	import decimal
2	3	import unittest
	4	from hashlib import md5
3	5	from warnings import warn
4	6
	7	from helper import SkippableTest
	8
5	9	import jsonpickle
6		from jsonpickle import compat
7		from jsonpickle.compat import PY2
8		from jsonpickle.compat import PY3
9
10		from helper import SkippableTest
11	10
12	11
13	12	class Thing(object):
14	13	def __init__(self, name):
15	14	self.name = name
16	15	self.child = None
	16
	17
	18	class A(object):
	19	def __init__(self):
	20	self.id = md5(str(id(self)).encode()).hexdigest()[:5] # unique enough hash
	21
	22
	23	class BSlots(object):
	24	__slots__ = ["a2", "a1", "a3"]
	25
	26	def __init__(self):
	27	self.a2 = A() # set attribs not in alphabetical order
	28	self.a1 = A()
	29	self.a3 = self.a1 # create a reference
17	30
18	31
19	32	SAMPLE_DATA = {'things': [Thing('data')]}

124	137	as_json = jsonpickle.dumps(obj)
125	138	clone = jsonpickle.loads(as_json)
126	139	self.assertTrue(isinstance(clone, decimal.Decimal))
	140	# options are persisted unless we disable them
	141	jsonpickle.set_encoder_options('simplejson', use_decimal=False)
	142	jsonpickle.set_decoder_options('simplejson', use_decimal=False)
	143
	144	def test_sort_keys(self):
	145	jsonpickle.set_encoder_options('simplejson', sort_keys=True)
	146	b = BSlots()
	147	self.assertRaises(TypeError, jsonpickle.encode, b, keys=True, warn=True)
	148	# return encoder options to default
	149	jsonpickle.set_encoder_options('simplejson', sort_keys=False)
127	150
128	151
129	152	def has_module(module):

135	158	return True
136	159
137	160
138		class DemjsonTestCase(BackendBase):
139		def setUp(self):
140		self.set_preferred_backend('demjson')
141
142		def test_backend(self):
143		expected_pickled = compat.ustr(
144		'{"things":[{'
145		'"child":null,'
146		'"name":"data",'
147		'"py/object":"backend_test.Thing"}'
148		']}'
149		)
150		self.assertEncodeDecode(expected_pickled)
151
152		def test_int_dict_keys_with_numeric_keys(self):
153		jsonpickle.set_encoder_options('demjson', strict=False)
154		int_dict = {1000: [1, 2]}
155		pickle = jsonpickle.encode(int_dict, numeric_keys=True)
156		actual = jsonpickle.decode(pickle)
157		self.assertEqual(actual[1000], [1, 2])
158
159
160		class JsonlibTestCase(BackendBase):
161		def setUp(self):
162		if PY2:
163		self.set_preferred_backend('jsonlib')
164
165		def test_backend(self):
166		if PY3:
167		return self.skip('no jsonlib for python3')
168		expected_pickled = (
169		'{"things":[{'
170		r'"py\/object":"backend_test.Thing",'
171		'"name":"data","child":null}'
172		']}'
173		)
174		self.assertEncodeDecode(expected_pickled)
175
176
177	161	class YajlTestCase(BackendBase):
178	162	def setUp(self):
179	163	self.set_preferred_backend('yajl')

207	191	suite.addTest(unittest.makeSuite(JsonTestCase))
208	192	suite.addTest(unittest.makeSuite(UJsonTestCase))
209	193	suite.addTest(unittest.makeSuite(SimpleJsonTestCase))
210		if has_module('demjson'):
211		suite.addTest(unittest.makeSuite(DemjsonTestCase))
212	194	if has_module('yajl'):
213	195	suite.addTest(unittest.makeSuite(YajlTestCase))
214		if PY2:
215		if has_module('jsonlib'):
216		suite.addTest(unittest.makeSuite(JsonlibTestCase))
217	196	return suite
218	197
219	198

-1

tests/benchmark.py less more

10	10	import os
11	11	import sys
12	12	import timeit
13
14	13
15	14	json = """\
16	15	import feedparser

-2

tests/bson_test.py less more

4	4	import pickle
5	5	import unittest
6	6
	7	from helper import SkippableTest
	8
7	9	import jsonpickle
8
9		from helper import SkippableTest
10	10
11	11	bson = None
12	12

-19

tests/collections_test.py less more

33	33	Unit tests for collections
34	34	"""
35	35	from __future__ import absolute_import, division, print_function, unicode_literals
	36
	37	import sys
36	38	from collections import OrderedDict, defaultdict
37		import sys
38	39
39	40	import pytest
40	41
41	42	import jsonpickle
42		from jsonpickle.compat import PY2
43	43
44	44	__status__ = "Stable"
45	45	__version__ = "1.0.0"

55	55
56	56	Tests restorable collections by creating pickled structures featuring
57	57	no cycles, self cycles, and mutual cycles, for all supported dictionary and
58		set wrappers. Python bult-in dictionaries and sets are also tested with
	58	set wrappers. Python built-in dictionaries and sets are also tested with
59	59	expectation of failure via raising exceptions.
60	60
61	61	"""

85	85	self.plain_default[key] = (key, value)
86	86
87	87	def __hash__(self):
88		# return id(self)
89		# the original __hash__() below means the hash can change after being
90		# stored, which JP does not support on Python 2.
91		if PY2:
92		return id(self)
93	88	return hash(self.v) if hasattr(self, 'v') else id(self)
94	89
95	90	def __repr__(self):

110	105	self.plain.add(item)
111	106
112	107	def __hash__(self):
113		if PY2:
114		return id(self)
115	108	return hash(self.v) if hasattr(self, 'v') else id(self)
116	109
117	110	def __repr__(self):

216	209	plain_keys = list(c1u.plain.keys())
217	210	ordered_keys = list(c1u.plain_ordered.keys())
218	211	default_keys = list(c1u.plain_default.keys())
219		if PY2:
220		value = 67
221		else:
222		value = 42
	212	value = 42
223	213	assert value == c1u.plain[plain_keys[0]][0].v
224	214	42 == c1u.plain_ordered[ordered_keys[0]][0].v
225	215	42 == c1u.plain_default[default_keys[0]][0].v
226	216
227	217	# key c2u
228	218	# succeeds because c2u does not have a cycle to itself
229		if PY2:
230		key = c1u
231		else:
232		key = c2u
233		assert key == c1u.plain[plain_keys[1]][0]
	219	assert c2u == c1u.plain[plain_keys[1]][0]
234	220	# succeeds because c2u does not have a cycle to itself
235	221	assert c2u == c1u.plain_ordered[ordered_keys[1]][0]
236	222	assert 67 == c1u.plain_default[default_keys[1]][0].v

-7

tests/datetime_test.py less more

5	5	# This software is licensed as described in the file COPYING, which
6	6	# you should have received as part of this distribution.
7	7
8		import unittest
9	8	import datetime
10	9	import time
	10	import unittest
11	11
12	12	import jsonpickle
13	13	from jsonpickle import tags

57	57	self._dt_write = datetime.datetime.utcnow()
58	58	self._value = new_value
59	59
	60	def erasable(self, td=datetime.timedelta(seconds=1)):
	61	dt_now = datetime.datetime.utcnow()
	62	td_read = dt_now - self._dt_read
	63	td_write = dt_now - self._dt_write
	64	return td_read > td and td_write > td
	65
60	66	def __repr__(self):
61	67	dt_now = datetime.datetime.utcnow()
62	68	td_read = dt_now - self._dt_read

67	73	s += ' dt_write: ' + str(self._dt_write) + ' (%s ago)' % td_write + '\n'
68	74	return s
69	75
70		def erasable(self, td=datetime.timedelta(seconds=1)):
71		dt_now = datetime.datetime.utcnow()
72		td_read = dt_now - self._dt_read
73		td_write = dt_now - self._dt_write
74		return td_read > td and td_write > td
75
76	76
77	77	class PersistantVariables(object):
78	78	def __init__(self):

-3

tests/document_test.py less more

0	0	# -- coding: utf-8 --
1	1
2	2	import unittest
	3
3	4	import jsonpickle
4	5
5	6

20	21	def __init__(self, name):
21	22	Node.__init__(self, name)
22	23
	24	def __repr__(self):
	25	return str(self)
	26
23	27	def __str__(self):
24	28	ret_str = 'Document "%s"\n' % self._name
25	29	for c in self._children:
26	30	ret_str += repr(c)
27	31	return ret_str
28
29		def __repr__(self):
30		return str(self)
31	32
32	33
33	34	class Question(Node):

+11

-1

tests/ecdsa_test.py less more

0	0	"""Test serializing ecdsa keys"""
1	1	from __future__ import absolute_import, division, unicode_literals
	2
2	3	import unittest
	4
	5	import pytest
	6	from helper import SkippableTest
3	7
4	8	import jsonpickle
5	9
6		from helper import SkippableTest
	10
	11	@pytest.fixture(scope='module', autouse=True)
	12	def gmpy_extension():
	13	"""Initialize the gmpy extension for this test module"""
	14	jsonpickle.ext.gmpy.register_handlers()
	15	yield # control to the test function.
	16	jsonpickle.ext.gmpy.unregister_handlers()
7	17
8	18
9	19	class EcdsaTestCase(SkippableTest):

-2

tests/feedparser_test.py less more

7	7
8	8	import unittest
9	9
	10	from helper import SkippableTest
	11
10	12	import jsonpickle
11
12		from helper import SkippableTest
13	13
14	14	RSS_DOC = """<?xml version="1.0" encoding="utf-8"?>
15	15	<feed xmlns="http://www.w3.org/2005/Atom"

+214

-113

tests/jsonpickle_test.py less more

4	4	# This software is licensed as described in the file COPYING, which
5	5	# you should have received as part of this distribution.
6	6	from __future__ import absolute_import, division, unicode_literals
	7
	8	import collections
7	9	import os
8	10	import unittest
9		import collections
	11	import warnings
10	12
11	13	import pytest
	14	from helper import SkippableTest
12	15
13	16	import jsonpickle
14	17	import jsonpickle.backend
15	18	import jsonpickle.handlers
16	19	from jsonpickle import compat, tags, util
17		from jsonpickle.compat import PY2, PY3
18		from helper import SkippableTest
19
20
21		class Thing(object):
	20
	21
	22	class ListLike:
	23	def __init__(self):
	24	self.internal_list = []
	25
	26	def append(self, item):
	27	self.internal_list.append(item)
	28
	29	def __getitem__(self, i):
	30	return self.internal_list[i]
	31
	32
	33	class Thing:
22	34	def __init__(self, name):
23	35	self.name = name
24	36	self.child = None
25	37
	38	def __iter__(self):
	39	for attr in [
	40	x for x in getattr(self.__class__, "__dict__") if not x.startswith("__")
	41	]:
	42	yield attr, getattr(self, attr)
	43
26	44	def __repr__(self):
27	45	return 'Thing("%s")' % self.name
28	46
29	47
30		class Capture(object):
	48	class Capture:
31	49	def __init__(self, args, *kwargs):
32	50	self.args = args
33	51	self.kwargs = kwargs
34	52
35	53
36		class ThingWithProps(object):
	54	class ThingWithProps:
	55	def _get_identity(self):
	56	keys = [self.dogs, self.monkies, self.name]
	57	return hash('-'.join([str(key) for key in keys]))
	58
	59	identity = property(_get_identity)
	60
	61	def _get_dogs(self):
	62	return self._critters[0][1]
	63
	64	dogs = property(_get_dogs)
	65
	66	def _get_monkies(self):
	67	return self._critters[1][1]
	68
	69	monkies = property(_get_monkies)
	70
37	71	def __init__(self, name='', dogs='reliable', monkies='tricksy'):
38	72	self.name = name
39	73	self._critters = (('dogs', dogs), ('monkies', monkies))
40	74
41		def _get_identity(self):
42		keys = [self.dogs, self.monkies, self.name]
43		return hash('-'.join([str(key) for key in keys]))
44
45		identity = property(_get_identity)
46
47		def _get_dogs(self):
48		return self._critters[0][1]
49
50		dogs = property(_get_dogs)
51
52		def _get_monkies(self):
53		return self._critters[1][1]
54
55		monkies = property(_get_monkies)
	75	def __eq__(self, other):
	76	return self.identity == other.identity
56	77
57	78	def __getstate__(self):
58	79	out = dict(

71	92	self.name = state_dict.get('nom', '')
72	93	ident = state_dict.get('__identity__')
73	94	if ident != self.identity:
74		raise ValueError('expanded object does not match originial state!')
75
76		def __eq__(self, other):
77		return self.identity == other.identity
	95	raise ValueError('expanded object does not match original state!')
78	96
79	97
80	98	class UserDict(dict):

85	103	self.valid = False
86	104
87	105
88		class Outer(object):
89		class Middle(object):
90		class Inner(object):
	106	class Outer:
	107	class Middle:
	108	class Inner:
91	109	pass
	110
	111
	112	class MySlots:
	113	__slots__ = ("alpha", "__beta")
	114
	115	def __init__(self):
	116	self.alpha = 1
	117	self.__beta = 1
	118
	119
	120	class MyPropertiesSlots:
	121	__slots__ = ("alpha", "arr")
	122
	123	def __init__(self):
	124	self.alpha = 1
	125	self.arr = [1, 2, 3]
	126
	127	@property
	128	def arr_len(self):
	129	return len(self.arr)
	130
	131	@property
	132	def other_object(self):
	133	return Thing("Test")
	134
	135	def __eq__(self, other):
	136	return (
	137	self.alpha == other.alpha
	138	and self.arr == other.arr
	139	and self.arr_len == other.arr_len
	140	and list(self.other_object) == list(other.other_object)
	141	)
	142
	143
	144	class MyPropertiesDict:
	145	def __init__(self):
	146	self.alpha = 1
	147	self.arr = [1, 2, 3]
	148
	149	@property
	150	def arr_len(self):
	151	return len(self.arr)
	152
	153	@property
	154	def other_object(self):
	155	return Thing("Test")
	156
	157	def __eq__(self, other):
	158	return (
	159	self.alpha == other.alpha
	160	and self.arr == other.arr
	161	and self.arr_len == other.arr_len
	162	and list(self.other_object) == list(other.other_object)
	163	)
	164
	165
	166	def on_missing_callback(class_name):
	167	# not actually a runtime problem but it doesn't matter
	168	warnings.warn("The unpickler couldn't find %s" % class_name, RuntimeWarning)
92	169
93	170
94	171	class PicklingTestCase(unittest.TestCase):

101	178	self.pickler.reset()
102	179	self.unpickler.reset()
103	180
104		@unittest.skipIf(not PY2, 'Python 2-specific base85 test')
105		def test_base85_always_false_on_py2(self):
106		self.assertFalse(self.b85_pickler.use_base85)
107
108		@unittest.skipIf(PY2, 'Base85 not supported on Python 2')
109	181	def test_base85_override_py3(self):
110	182	"""Ensure the Python 2 check still lets us set use_base85 on Python 3"""
111	183	self.assertTrue(self.b85_pickler.use_base85)
112	184
113		@unittest.skipIf(PY2, 'Base85 not supported on Python 2')
114	185	def test_bytes_default_base85(self):
115	186	data = os.urandom(16)
116	187	encoded = util.b85encode(data)
117	188	self.assertEqual({tags.B85: encoded}, self.b85_pickler.flatten(data))
118	189
119		@unittest.skipIf(PY2, 'Base85 not supported on Python 2')
120	190	def test_py3_bytes_base64_default(self):
121	191	data = os.urandom(16)
122	192	encoded = util.b64encode(data)
123	193	self.assertEqual({tags.B64: encoded}, self.pickler.flatten(data))
124	194
125		@unittest.skipIf(not PY2, 'Python 2-specific base64 test')
126		def test_py2_default_base64(self):
127		data = os.urandom(16)
128		encoded = util.b64encode(data)
129		self.assertEqual({tags.B64: encoded}, self.pickler.flatten(data))
130
131		@unittest.skipIf(PY2, 'Base85 not supported on Python 2')
132	195	def test_decode_base85(self):
133	196	pickled = {tags.B85: 'P{Y4;Xv4O{u^=-c'}
134	197	expected = u'P\u00ffth\u00f6\u00f1 3!'.encode('utf-8')
135	198	self.assertEqual(expected, self.unpickler.restore(pickled))
136	199
137		@unittest.skipIf(PY2, 'Base85 not supported on Python 2')
138	200	def test_base85_still_handles_base64(self):
139	201	pickled = {tags.B64: 'UMO/dGjDtsOxIDMh'}
140	202	expected = u'P\u00ffth\u00f6\u00f1 3!'.encode('utf-8')
141	203	self.assertEqual(expected, self.unpickler.restore(pickled))
142
143		@unittest.skipIf(not PY2, 'Python 2-specific base85 test')
144		def test_base85_crashes_py2(self):
145		with self.assertRaises(NotImplementedError):
146		self.unpickler.restore({tags.B85: 'P{Y4;Xv4O{u^=-c'})
147	204
148	205	def test_string(self):
149	206	self.assertEqual('a string', self.pickler.flatten('a string'))

433	490	no longer supported.
434	491	"""
435	492	ae = jsonpickle.decode('{"py/type": "__builtin__.AssertionError"}')
436		assert ae is AssertionError
	493	self.assertTrue(ae is AssertionError)
437	494	ae = jsonpickle.decode('{"py/type": "exceptions.AssertionError"}')
438		assert ae is AssertionError
	495	self.assertTrue(ae is AssertionError)
439	496	cls = jsonpickle.decode('{"py/type": "__builtin__.int"}')
440		assert cls is int
	497	self.assertTrue(cls is int)
	498
	499	def test_unpickler_on_missing(self):
	500	class SimpleClass(object):
	501	def __init__(self, i):
	502	self.i = i
	503
	504	frozen = jsonpickle.encode(SimpleClass(4))
	505	del SimpleClass
	506
	507	# https://docs.python.org/3/library/warnings.html#testing-warnings
	508
	509	with warnings.catch_warnings(record=True) as w:
	510	warnings.simplefilter("always")
	511	jsonpickle.decode(frozen, on_missing='warn')
	512	self.assertTrue(issubclass(w[-1].category, UserWarning))
	513	self.assertTrue(
	514	"Unpickler._restore_object could not find" in str(w[-1].message)
	515	)
	516
	517	jsonpickle.decode(frozen, on_missing=on_missing_callback)
	518	self.assertTrue(issubclass(w[-1].category, RuntimeWarning))
	519	self.assertTrue("The unpickler couldn't find" in str(w[-1].message))
	520
	521	self.assertTrue(
	522	jsonpickle.decode(frozen, on_missing='ignore')
	523	== {
	524	'py/object': 'jsonpickle_test.PicklingTestCase.test_unpickler_on_missing.<locals>.SimpleClass',
	525	'i': 4,
	526	}
	527	)
	528
	529	try:
	530	jsonpickle.decode(frozen, on_missing='error')
	531	except jsonpickle.errors.ClassNotFoundError:
	532	# it's supposed to error
	533	self.assertTrue(True)
	534	else:
	535	self.assertTrue(False)
	536
	537	def test_private_slot_members(self):
	538	obj = jsonpickle.loads(jsonpickle.dumps(MySlots()))
	539	alpha = getattr(obj, "alpha", "(missing alpha)")
	540	beta = getattr(obj, "_" + obj.__class__.__name__ + "__beta", "(missing beta)")
	541	self.assertEqual(alpha, beta)
	542
	543	def test_include_properties_slots(self):
	544	obj = MyPropertiesSlots()
	545	dumped = jsonpickle.dumps(obj, include_properties=True)
	546	self.assertTrue("py/property" in dumped)
	547	self.assertEqual(obj, jsonpickle.loads(dumped))
	548
	549	def test_include_properties_dict(self):
	550	obj = MyPropertiesDict()
	551	dumped = jsonpickle.dumps(obj, include_properties=True)
	552	self.assertTrue("py/property" in dumped)
	553	self.assertEqual(obj, jsonpickle.loads(dumped))
	554
	555	def test_load_non_fully_qualified_classes(self):
	556	# reuse MyPropertiesSlots because it has a nice eq method
	557	obj = MyPropertiesSlots()
	558	encoded = jsonpickle.encode(obj)
	559	# MyPropertiesSlots and MyPropertiesDict have compatible eq methods
	560	self.assertEqual(
	561	obj,
	562	jsonpickle.decode(encoded, classes={"MyPropertiesSlots": MyPropertiesDict}),
	563	)
441	564
442	565
443	566	class JSONPickleTestCase(SkippableTest):

494	617	self.assertEqual(type(self.obj), type(actual))
495	618
496	619	def test_unicode_dict_keys(self):
497		if PY2:
498		uni = unichr(0x1234) # noqa
499		else:
500		uni = chr(0x1234)
	620	uni = chr(0x1234)
501	621	pickle = jsonpickle.encode({uni: uni})
502	622	actual = jsonpickle.decode(pickle)
503	623	self.assertTrue(uni in actual)

767	887	assert decoded.b[0] == 1
768	888	assert decoded.a[1][0:3] == '[1,'
769	889	assert decoded.a[2][0][0:3] == '[1,'
	890
	891	def _test_inner_class(self, InnerScope, obj, decoded):
	892	self.assertTrue(isinstance(obj, InnerScope))
	893	self.assertEqual(decoded.name, obj.name)
770	894
771	895	def test_can_serialize_inner_classes(self):
772	896	class InnerScope(object):

790	914	decoded = jsonpickle.decode(encoded, classes={InnerScope})
791	915	self._test_inner_class(InnerScope, obj, decoded)
792	916
793		def _test_inner_class(self, InnerScope, obj, decoded):
794		self.assertTrue(isinstance(obj, InnerScope))
795		self.assertEqual(decoded.name, obj.name)
796
797	917	def test_can_serialize_nested_classes(self):
798		if PY2:
799		return self.skip('Serialization of nested classes requires ' 'Python >= 3')
800
801	918	middle = Outer.Middle
802	919	inner = Outer.Middle.Inner
803	920	encoded_middle = jsonpickle.encode(middle)

812	929	self.assertEqual(decoded_inner, inner)
813	930
814	931	def test_can_serialize_nested_class_objects(self):
815		if PY2:
816		return self.skip('Serialization of nested classes requires ' 'Python >= 3')
817
818	932	middle_obj = Outer.Middle()
819	933	middle_obj.attribute = 5
820	934	inner_obj = Outer.Middle.Inner()

829	943	self.assertTrue(isinstance(decoded_inner_obj, Outer.Middle.Inner))
830	944	self.assertEqual(decoded_middle_obj.attribute, middle_obj.attribute)
831	945	self.assertEqual(decoded_inner_obj.attribute, inner_obj.attribute)
	946
	947	def test_listlike(self):
	948	"""
	949	https://github.com/jsonpickle/jsonpickle/issues/362
	950	"""
	951	ll = ListLike()
	952	ll.internal_list.append(1)
	953	roundtrip_ll = jsonpickle.decode(jsonpickle.encode(ll))
	954	self.assertEqual(len(ll.internal_list), len(roundtrip_ll.internal_list))
	955
	956	def test_v1_decode(self):
	957	# TODO: Find a simple example that reproduces #364
	958	self.assertTrue(True)
832	959
833	960
834	961	class PicklableNamedTuple(object):

945	1072
946	1073
947	1074	class PickleProtocol2ReduceExString(object):
	1075	def __reduce_ex__(self, n):
	1076	return __name__ + '.slotmagic'
	1077
948	1078	def __reduce__(self):
949	1079	assert False, "Should not be here"
950
951		def __reduce_ex__(self, n):
952		return __name__ + '.slotmagic'
953	1080
954	1081
955	1082	class PickleProtocol2ReduceTuple(object):

969	1096
970	1097	@compat.iterator
971	1098	class ReducibleIterator(object):
	1099	def __next__(self):
	1100	raise StopIteration()
	1101
972	1102	def __iter__(self):
973	1103	return self
974
975		def __next__(self):
976		raise StopIteration()
977	1104
978	1105	def __reduce__(self):
979	1106	return ReducibleIterator, ()

1032	1159
1033	1160
1034	1161	class PickleProtocol2ReduceTupleSetState(PickleProtocol2ReduceTuple):
1035		def __setstate__(self, state):
1036		self.bar = state['foo']
1037
1038	1162	def __reduce__(self):
1039	1163	return (
1040	1164	type(self), # callable

1044	1168	iter([]), # dictitems
1045	1169	)
1046	1170
	1171	def __setstate__(self, state):
	1172	self.bar = state['foo']
	1173
1047	1174
1048	1175	class PickleProtocol2ReduceTupleStateSlots(object):
1049	1176	__slots__ = ('argval', 'optional', 'foo')

1066	1193	def __init__(self):
1067	1194	self.inner = []
1068	1195
	1196	def append(self, item):
	1197	self.inner.append(item)
	1198
1069	1199	def __reduce__(self):
1070	1200	return (
1071	1201	PickleProtocol2ReduceListitemsAppend, # callable

1075	1205	iter([]), # dictitems
1076	1206	)
1077	1207
1078		def append(self, item):
1079		self.inner.append(item)
1080
1081	1208
1082	1209	class PickleProtocol2ReduceListitemsExtend(object):
1083	1210	def __init__(self):
1084	1211	self.inner = []
	1212
	1213	def extend(self, items):
	1214	self.inner.exend(items)
1085	1215
1086	1216	def __reduce__(self):
1087	1217	return (

1092	1222	iter([]), # dictitems
1093	1223	)
1094	1224
1095		def extend(self, items):
1096		self.inner.exend(items)
1097
1098	1225
1099	1226	class PickleProtocol2ReduceDictitems(object):
1100	1227	def __init__(self):
1101	1228	self.inner = {}
	1229
	1230	def __setitem__(self, k, v):
	1231	return self.inner.__setitem__(k, v)
1102	1232
1103	1233	def __reduce__(self):
1104	1234	return (

1109	1239	iter(zip(['foo', 'bar'], ['foo', 'bar'])), # dictitems
1110	1240	)
1111	1241
1112		def __setitem__(self, k, v):
1113		return self.inner.__setitem__(k, v)
1114
1115	1242
1116	1243	class PickleProtocol2Classic:
1117	1244	def __init__(self, foo):

1132	1259	def test_pickle_newargs_ex(self):
1133	1260	"""
1134	1261	Ensure we can pickle and unpickle an object whose class needs arguments
1135		to __new__ and get back the same typle
	1262	to __new__ and get back the same type
1136	1263	"""
1137	1264	instance = PicklableNamedTupleEx(**{'a': 'b', 'n': 2})
1138	1265	encoded = jsonpickle.encode(instance)

1178	1305
1179	1306
1180	1307	class PicklingProtocol2TestCase(SkippableTest):
1181		def test_classic_init_has_args(self):
1182		"""
1183		Test unpickling a classic instance whose init takes args,
1184		has no __getinitargs__
1185		Because classic only exists under 2, skipped if PY3
1186		"""
1187		if PY3:
1188		return self.skip('No classic classes in PY3')
1189		instance = PickleProtocol2Classic(3)
1190		encoded = jsonpickle.encode(instance)
1191		decoded = jsonpickle.decode(encoded)
1192		self.assertEqual(decoded.foo, 3)
1193
1194		def test_getinitargs(self):
1195		"""
1196		Test __getinitargs__ with classic instance
1197
1198		Because classic only exists under 2, skipped if PY3
1199		"""
1200		if PY3:
1201		return self.skip('No classic classes in PY3')
1202		instance = PickleProtocol2ClassicInitargs(3)
1203		encoded = jsonpickle.encode(instance)
1204		decoded = jsonpickle.decode(encoded)
1205		self.assertEqual(decoded.bar, 'choo')
1206
1207	1308	def test_reduce_complex_num(self):
1208	1309	instance = 5j
1209	1310	encoded = jsonpickle.encode(instance)

1348	1449	def test_pickle_newargs(self):
1349	1450	"""
1350	1451	Ensure we can pickle and unpickle an object whose class needs arguments
1351		to __new__ and get back the same typle
	1452	to __new__ and get back the same type
1352	1453	"""
1353	1454	instance = PicklableNamedTuple(('a', 'b'), (1, 2))
1354	1455	encoded = jsonpickle.encode(instance)

+32

-37

tests/numpy_test.py less more

0	0	from __future__ import absolute_import, division, unicode_literals
	1
1	2	import datetime
2	3	import warnings
3	4

14	15	import jsonpickle
15	16	import jsonpickle.ext.numpy
16	17	from jsonpickle import handlers
17		from jsonpickle.compat import PY2
18	18
19	19
20	20	@pytest.fixture(scope='module', autouse=True)

31	31
32	32	def test_dtype_roundtrip():
33	33	dtypes = [
34		np.int,
35		np.float,
36		np.complex,
	34	np.int_,
37	35	np.int32,
38		np.str,
39		np.object,
40		np.unicode,
	36	np.float_,
	37	np.float64,
	38	np.complex_,
	39	np.complex128,
	40	np.str_,
	41	np.object_,
	42	np.compat.unicode,
41	43	np.dtype(np.void),
42	44	np.dtype(np.int32),
43	45	np.dtype(np.float32),
44	46	np.dtype('f4,i4,f2,i1'),
45	47	np.dtype(('f4', 'i4'), ('f2', 'i1')),
46		np.dtype('1i4', align=True),
	48	np.dtype('i4', align=True),
47	49	np.dtype('M8[7D]'),
48	50	np.dtype(
49	51	{

125	127	np.array([0, 1, -1, np.inf, -np.inf, np.nan], dtype='f2'),
126	128	]
127	129
128		if not PY2:
129		arrays.extend(
130		[
131		np.rec.array(
132		[('NGC1001', 11), ('NGC1002', 1.0), ('NGC1003', 1.0)],
133		dtype=[('target', 'S20'), ('V_mag', 'f4')],
134		)
135		]
136		)
	130	arrays.extend(
	131	[
	132	np.rec.array(
	133	[('NGC1001', 11), ('NGC1002', 1.0), ('NGC1003', 1.0)],
	134	dtype=[('target', 'S20'), ('V_mag', 'f4')],
	135	)
	136	]
	137	)
137	138	for array in arrays:
138	139	decoded = roundtrip(array)
139	140	assert_equal(decoded, array)

196	197	a.strides = 1
197	198
198	199	# this is kinda fishy; a has overlapping memory, _a does not
199		if PY2:
200		warn_count = 0
201		else:
202		warn_count = 1
	200	warn_count = 1
203	201	with warnings.catch_warnings(record=True) as w:
204	202	_a = roundtrip(a)
205	203	assert len(w) == warn_count

250	248	b = a[1:, 1:]
251	249	assert b.base is a
252	250
253		if PY2:
254		warn_count = 0
255		else:
256		warn_count = 1
	251	warn_count = 1
257	252	with warnings.catch_warnings(record=True) as w:
258	253	_a, _b = roundtrip([a, b])
259	254	assert len(w) == warn_count

272	267	"""test behavior with memoryviews which are not ndarrays"""
273	268	bstring = 'abcdefgh'.encode('utf-8')
274	269	a = np.frombuffer(bstring, dtype=np.byte)
275		if PY2:
276		warn_count = 0
277		else:
278		warn_count = 1
	270	warn_count = 1
279	271	with warnings.catch_warnings(record=True) as w:
280	272	_a = roundtrip(a)
281	273	npt.assert_array_equal(a, _a)

289	281	is not an ndarray.
290	282
291	283	"""
292		if PY2:
293		warn_count = 0
294		else:
295		warn_count = 1
	284	warn_count = 1
296	285	a = np.arange(10)
297	286	b = np.lib.stride_tricks.as_strided(a, shape=(5,), strides=(a.dtype.itemsize * 2,))
298	287	data = [a, b]

336	325
337	326
338	327	def test_zero_dimensional_array():
339		expect = np.array(0.0)
340		actual = roundtrip(expect)
	328	expect = np.array(float(0.0), dtype="float64")
	329	actual = jsonpickle.decode(jsonpickle.encode(expect))
341	330	npt.assert_array_equal(expect, actual)
342	331
343	332

362	351
363	352
364	353	def test_ndarray_dtype_object():
365		a = np.array(['F' + str(i) for i in range(30)], dtype=np.object)
	354	a = np.array(['F' + str(i) for i in range(30)], dtype=object)
366	355	buf = jsonpickle.encode(a)
367	356	# This is critical for reproducing the numpy segfault issue when
368	357	# restoring ndarray of dtype object.
369	358	del a
370		expect = np.array(['F' + str(i) for i in range(30)], dtype=np.object)
	359	expect = np.array(['F' + str(i) for i in range(30)], dtype=object)
371	360	actual = jsonpickle.decode(buf)
372	361	npt.assert_array_equal(expect, actual)
373	362

382	371	assert expect == actual
383	372
384	373
	374	def test_np_poly1d():
	375	# issue 391, test poly1d roundtrip
	376	obj = np.poly1d([1, 2, 3])
	377	assert obj == jsonpickle.decode(jsonpickle.encode(obj))
	378
	379
385	380	if __name__ == '__main__':
386	381	pytest.main([__file__])

+38

-71

tests/object_test.py less more

0	0	from __future__ import absolute_import, division, unicode_literals
	1
1	2	import array
2		import enum
3	3	import collections
4	4	import datetime
5	5	import decimal
	6	import enum
6	7	import re
7	8	import threading
	9
	10	import pytest
8	11	import pytz
	12	from helper import SkippableTest
9	13
10	14	import jsonpickle
11		from jsonpickle import compat
12		from jsonpickle import handlers
13		from jsonpickle import tags
14		from jsonpickle import util
15		from jsonpickle.compat import queue, PY2, PY3_ORDERED_DICT
16
17		import pytest
18
19		from helper import SkippableTest
	15	from jsonpickle import compat, handlers, tags, util
	16	from jsonpickle.compat import queue
20	17
21	18
22	19	class Thing(object):

107	104	pass
108	105
109	106
	107	def func(x):
	108	return x
	109
	110
110	111	class ThingWithFunctionRefs(object):
111	112	def __init__(self):
112	113	self.fn = func
113
114
115		def func(x):
116		return x
117	114
118	115
119	116	class ThingWithQueue(object):

521	518	self.assertTrue(decoded == u1)
522	519	self.assertTrue(isinstance(decoded, compat.ustr))
523	520
524		# bytestrings are wrapped in PY3 but in PY2 we try to decode first
	521	# bytestrings are wrapped in py 3
525	522	encoded = self.pickler.flatten(b1)
526		if PY2:
527		self.assertEqual(encoded, u1)
528		self.assertTrue(isinstance(encoded, compat.ustr))
529		else:
530		self.assertNotEqual(encoded, u1)
531		encoded_ustr = util.b64encode(b'foo')
532		self.assertEqual({tags.B64: encoded_ustr}, encoded)
533		self.assertTrue(isinstance(encoded[tags.B64], compat.ustr))
	523	self.assertNotEqual(encoded, u1)
	524	encoded_ustr = util.b64encode(b'foo')
	525	self.assertEqual({tags.B64: encoded_ustr}, encoded)
	526	self.assertTrue(isinstance(encoded[tags.B64], compat.ustr))
534	527	decoded = self.unpickler.restore(encoded)
535	528	self.assertTrue(decoded == b1)
536		if PY2:
537		self.assertTrue(isinstance(decoded, compat.ustr))
538		else:
539		self.assertTrue(isinstance(decoded, bytes))
	529	self.assertTrue(isinstance(decoded, bytes))
540	530
541	531	# bytestrings that we can't decode to UTF-8 will always be wrapped
542	532	encoded = self.pickler.flatten(b2)

547	537	decoded = self.unpickler.restore(encoded)
548	538	self.assertEqual(decoded, b2)
549	539	self.assertTrue(isinstance(decoded, bytes))
550
551		def test_backcompat_bytes_quoted_printable(self):
552		"""Test decoding bytes objects from older jsonpickle versions"""
553
554		b1 = b'foo'
555		b2 = b'foo\xff'
556
557		# older versions of jsonpickle used a quoted-printable encoding
558		expect = b1
559		actual = self.unpickler.restore({tags.BYTES: 'foo'})
560		self.assertEqual(expect, actual)
561
562		expect = b2
563		actual = self.unpickler.restore({tags.BYTES: 'foo=FF'})
564		self.assertEqual(expect, actual)
565	540
566	541	def test_nested_objects(self):
567	542	obj = ThingWithTimedeltaAttribute(99)

604	579	typecodes = ('b', 'B', 'h', 'H', 'i', 'I', 'l', 'L', 'f', 'd')
605	580	for typecode in typecodes:
606	581	obj = array.array(typecode, (1, 2, 3))
607		self._test_array_roundtrip(obj)
608
609		def test_array_handler_python2(self):
610		"""Python2 allows the "c" byte/char typecode"""
611		if PY2:
612		obj = array.array('c', bytes('abcd'))
613	582	self._test_array_roundtrip(obj)
614	583
615	584	def test_exceptions_with_arguments(self):

693	662	decoded = jsonpickle.decode(encoded, keys=True)
694	663	assert decoded[0].default_factory() == 0
695	664	assert decoded[1] is decoded[2]
696
697
698		def test_defaultdict_subclass_with_self_as_default_factory():
699		"""Serialize a defaultdict subclass with self as its default factory"""
700		cls = ThingWithSelfAsDefaultFactory
701		tree = cls()
702		newtree = _test_defaultdict_tree(tree, cls)
703		assert type(newtree['A'].default_factory) == cls
704		assert newtree.default_factory is newtree
705		assert newtree['A'].default_factory is newtree['A']
706		assert newtree['Z'].default_factory is newtree['Z']
707
708
709		def test_defaultdict_subclass_with_class_as_default_factory():
710		"""Serialize a defaultdict with a class as its default factory"""
711		cls = ThingWithClassAsDefaultFactory
712		tree = cls()
713		newtree = _test_defaultdict_tree(tree, cls)
714		assert newtree.default_factory is cls
715		assert newtree['A'].default_factory is cls
716		assert newtree['Z'].default_factory is cls
717	665
718	666
719	667	def _test_defaultdict_tree(tree, cls):

740	688	return newtree
741	689
742	690
	691	def test_defaultdict_subclass_with_self_as_default_factory():
	692	"""Serialize a defaultdict subclass with self as its default factory"""
	693	cls = ThingWithSelfAsDefaultFactory
	694	tree = cls()
	695	newtree = _test_defaultdict_tree(tree, cls)
	696	assert type(newtree['A'].default_factory) == cls
	697	assert newtree.default_factory is newtree
	698	assert newtree['A'].default_factory is newtree['A']
	699	assert newtree['Z'].default_factory is newtree['Z']
	700
	701
	702	def test_defaultdict_subclass_with_class_as_default_factory():
	703	"""Serialize a defaultdict with a class as its default factory"""
	704	cls = ThingWithClassAsDefaultFactory
	705	tree = cls()
	706	newtree = _test_defaultdict_tree(tree, cls)
	707	assert newtree.default_factory is cls
	708	assert newtree['A'].default_factory is cls
	709	assert newtree['Z'].default_factory is cls
	710
	711
743	712	def test_posix_stat_result():
744	713	"""Serialize a posix.stat() result"""
745	714	try:

776	745
777	746	def test_ordered_dict_python3():
778	747	"""Ensure that we preserve dict order on python3"""
779		if not PY3_ORDERED_DICT:
780		return
781	748	# Python3.6+ preserves dict order.
782	749	obj = {'z': 'Z', 'x': 'X', 'y': 'Y'}
783	750	clone = jsonpickle.decode(jsonpickle.encode(obj))

+10

-7

tests/pandas_test.py less more

0	0	from __future__ import absolute_import, division, unicode_literals
	1
1	2	import datetime
2	3
3	4	import pytest
4	5
5	6	try:
	7	import numpy as np
6	8	import pandas as pd
7		import numpy as np
8		from pandas.testing import assert_series_equal
9		from pandas.testing import assert_frame_equal
10		from pandas.testing import assert_index_equal
	9	from pandas.testing import (
	10	assert_frame_equal,
	11	assert_index_equal,
	12	assert_series_equal,
	13	)
11	14	except ImportError:
12	15	pytest.skip('numpy is not available', allow_module_level=True)
13	16

128	131
129	132
130	133	def test_int64_index_roundtrip():
131		idx = pd.Int64Index([-1, 0, 3, 4])
	134	idx = pd.Index([-1, 0, 3, 4], dtype=np.int64)
132	135	decoded_idx = roundtrip(idx)
133	136	assert_index_equal(decoded_idx, idx)
134	137
135	138
136	139	def test_uint64_index_roundtrip():
137		idx = pd.UInt64Index([0, 3, 4])
	140	idx = pd.Index([0, 3, 4], dtype=np.uint64)
138	141	decoded_idx = roundtrip(idx)
139	142	assert_index_equal(decoded_idx, idx)
140	143
141	144
142	145	def test_float64_index_roundtrip():
143		idx = pd.Float64Index([0.1, 3.7, 4.2])
	146	idx = pd.Index([0.1, 3.7, 4.2], dtype=np.float64)
144	147	decoded_idx = roundtrip(idx)
145	148	assert_index_equal(decoded_idx, idx)
146	149

-2

tests/sqlalchemy_test.py less more

1	1
2	2	import unittest
3	3
	4	from helper import SkippableTest
	5
4	6	import jsonpickle
5
6		from helper import SkippableTest
7	7
8	8	try:
9	9	import sqlalchemy as sqa

-1

tests/stdlib_test.py less more

0	0	# -- coding: utf-8 --
1	1	"""Test miscellaneous objects from the standard library"""
2	2
	3	import unittest
3	4	import uuid
4		import unittest
5	5
6	6	import jsonpickle
7	7

+20

-18

tests/util_test.py less more

5	5	# you should have received as part of this distribution.
6	6
7	7	from __future__ import absolute_import, division, unicode_literals
	8
	9	import doctest
	10	import io
	11	import time
8	12	import unittest
9		import doctest
10		import time
11
12		from jsonpickle import compat
13		from jsonpickle import util
	13
	14	from jsonpickle import compat, util
14	15
15	16
16	17	class Thing(object):

28	29
29	30
30	31	class MethodTestClass(object):
	32
	33	variable = None
	34
31	35	@staticmethod
32	36	def static_method():
33	37	pass

39	43	def bound_method(self):
40	44	pass
41	45
42		variable = None
43
44	46
45	47	class MethodTestSubclass(MethodTestClass):
46	48	pass

52	54
53	55
54	56	class UtilTestCase(unittest.TestCase):
55		@unittest.skipIf(not compat.PY2, 'Python 2-specific Base85 test')
56		def test_b85encode_crashes_on_python2(self):
57		with self.assertRaises(NotImplementedError):
58		util.b85encode(b'')
59
60		@unittest.skipIf(not compat.PY2, 'Python 2-specific Base85 test')
61		def test_b85decode_crashes_on_python2(self):
62		with self.assertRaises(NotImplementedError):
63		util.b85decode(u'RC2?pb0AN3baKO~')
64
65	57	def test_is_primitive_int(self):
66	58	self.assertTrue(util.is_primitive(0))
67	59	self.assertTrue(util.is_primitive(3))

74	66	self.assertTrue(util.is_primitive(float(3)))
75	67
76	68	def test_is_primitive_long(self):
77		self.assertTrue(util.is_primitive(2 ** 64))
	69	self.assertTrue(util.is_primitive(2**64))
78	70
79	71	def test_is_primitive_bool(self):
80	72	self.assertTrue(util.is_primitive(True))

234	226	old_instance = MethodTestOldStyle()
235	227	self.assertTrue(has_method(old_instance, 'bound_method'))
236	228	self.assertFalse(has_method(MethodTestOldStyle, 'bound_method'))
	229
	230	def test_importable_name(self):
	231	func_being_tested_obj = util.importable_name
	232	io_method_obj = io.BytesIO(b'bytes').readline
	233	self.assertEqual(
	234	util.importable_name(func_being_tested_obj),
	235	'jsonpickle.util.importable_name',
	236	)
	237	self.assertEqual(util.importable_name(io_method_obj), '_io.BytesIO.readline')
	238	self.assertEqual(util.importable_name(dict), 'builtins.dict')
237	239
238	240
239	241	def suite():

+28

-27

tests/wizard_test.py less more

5	5
6	6	"""
7	7	from __future__ import absolute_import, division, unicode_literals
	8
	9	import collections
8	10	import unittest
9		import collections
10
11		from jsonpickle import encode, decode
	11
	12	from jsonpickle import decode, encode
12	13
13	14
14	15	class World(object):

21	22	self.name = name
22	23	self.spells = collections.OrderedDict()
23	24	world.wizards.append(self)
24
25		def __hash__(self):
26		return hash('Wizard %s' % self.name)
27
28		def __eq__(self, other):
29		for (ka, va), (kb, vb) in zip(self.spells.items(), other.spells.items()):
30		if ka.name != kb.name:
31		print('Wizards differ: %s != %s' % (ka.name, kb.name))
32		return False
33		for sa, sb in zip(va, vb):
34		if sa != sb:
35		print('Spells differ: %s != %s' % (sa.name, sb.name))
36		return False
37		return self.name == other.name
38	25
39	26	def __cmp__(self, other):
40	27	for (ka, va), (kb, vb) in zip(self.spells.items(), other.spells.items()):

49	36	return cmp_spell
50	37	return cmp(self.name, other.name) # noqa: F821
51	38
	39	def __eq__(self, other):
	40	for (ka, va), (kb, vb) in zip(self.spells.items(), other.spells.items()):
	41	if ka.name != kb.name:
	42	print('Wizards differ: %s != %s' % (ka.name, kb.name))
	43	return False
	44	for sa, sb in zip(va, vb):
	45	if sa != sb:
	46	print('Spells differ: %s != %s' % (sa.name, sb.name))
	47	return False
	48	return self.name == other.name
	49
	50	def __hash__(self):
	51	return hash('Wizard %s' % self.name)
	52
52	53
53	54	class Spell(object):
54	55	def __init__(self, caster, target, name):

61	62	spells = caster.spells[target] = []
62	63	spells.append(self)
63	64
64		def __hash__(self):
65		return hash(
66		'Spell %s by %s on %s' % (self.name, self.caster.name, self.target.name)
67		)
	65	def __cmp__(self, other):
	66	return (
	67	cmp(self.name, other.name) # noqa: F821
	68	or cmp(self.caster.name, other.caster.name) # noqa: F821
	69	or cmp(self.target.name, other.target.name) # noqa: F821
	70	) # noqa: F821
68	71
69	72	def __eq__(self, other):
70	73	return (

73	76	and self.target.name == other.target.name
74	77	)
75	78
76		def __cmp__(self, other):
77		return (
78		cmp(self.name, other.name) # noqa: F821
79		or cmp(self.caster.name, other.caster.name) # noqa: F821
80		or cmp(self.target.name, other.target.name) # noqa: F821
81		) # noqa: F821
	79	def __hash__(self):
	80	return hash(
	81	'Spell %s by %s on %s' % (self.name, self.caster.name, self.target.name)
	82	)
82	83
83	84
84	85	def hashsum(items):

-2

tox.ini less more

9	9
10	10
11	11	[testenv]
	12	passenv =
	13	FORCE_COLOR
12	14	deps =
13		sa10: sqlalchemy>=1.0,<1.1
14		sa11: sqlalchemy>=1.1,<1.2
15	15	sa12: sqlalchemy>=1.2,<1.3
16	16	sa13: sqlalchemy>=1.3,<1.4
17	17	pip_version = pip