Fossil SCM

Several improvements to the image-format-vs-repo-size experiment and the report documenting it: dropped the first 3 columns of data to make the bar chart clearer; drawing the bar chart on a transparent BG in case it's used on a page with a non-white BG, as with a selected Fossil forum post; added axis labels; added a run time calculation to the expensive first step; fixed a few syntax problems that prevent the Python code from compiling on Python 3; documented some problems with running it under Anaconda on macOS; better documented the notebook's dependencies; many clarifications to the experimental report text.

wyoung 2019-03-27 18:45 trunk

Commit 41e5237acd2eb2b160a81425e02e13247a98d10478bf66a81088e38aadeed788

Parent 99abe50b1fffc19…

3 files changed +39 -12 +114 -93 +785 -571

~ www/image-format-vs-repo-size.ipynb ~ www/image-format-vs-repo-size.md ~ www/image-format-vs-repo-size.svg

M www/image-format-vs-repo-size.ipynb

+39 -12

		--- www/image-format-vs-repo-size.ipynb
		+++ www/image-format-vs-repo-size.ipynb
		@@ -6,28 +6,40 @@
6	6	"source": [
7	7	"# Image Format vs Fossil Repository Size\n",
8	8	"\n",
9	9	"## Prerequisites\n",
10	10	"\n",
11		- "`pip install jupyter matplotlib pandas wand`\n",
	11	+ "This notebook was developed with [JupyterLab][jl]. To follow in my footsteps, install that and the needed Python packages:\n",
	12	+ "\n",
	13	+ " $ sudo pip install jupyterlab matplotlib pandas wand\n",
	14	+ "\n",
	15	+ "In principle, it should also work with [Anaconda Navigator][an], but because [Wand][wp] is not currently in the Anaconda base package set, you may run into difficulties making it work, as we did on macOS. These problems might not occur on Windows or Linux.\n",
	16	+ "\n",
	17	+ "This notebook uses the Python 2 kernel because macOS does not include Python 3, and we don't want to make adding that a prerequisite for those re-running this experiement on their own macOS systems. The code was written with Python 3 syntax changes in mind, but we haven't yet successfully tried it in a Python 3 Jupyter kernel.\n",
	18	+ "\n",
	19	+ "[an]: https://www.anaconda.com/distribution/\n",
	20	+ "[jl]: https://github.com/jupyterlab/\n",
	21	+ "[wp]: http://wand-py.org/\n",
12	22	"\n",
13	23	"\n",
14	24	"## Running\n",
15	25	"\n",
16		- "The next cell generates the test repositories. This takes about half a minute due to the time needed for all the file I/O.\n",
	26	+ "The next cell generates the test repositories. This takes about 45 seconds to run, primarily due to the `sleep 1` synchronization call, made 40 times in the main test loop.\n",
	27	+ "\n",
	28	+ "The one after that produces the bar chart from the collected data, all but instantaneously.\n",
17	29	"\n",
18		- "The one after that produces the bar chart from the collected data.\n",
	30	+ "This split allows you to generate the expensive experimental data in a single pass, then play as many games as you like with the generated data.\n",
19	31	"\n",
20	32	"\n",
21	33	"## Discussion\n",
22	34	"\n",
23	35	"That is kept in [a separate document](image-format-vs-repo-size.md) so we can share that document with Fossil's Markdown renderer."
24	36	]
25	37	},
26	38	{
27	39	"cell_type": "code",
28		- "execution_count": 3,
	40	+ "execution_count": null,
29	41	"metadata": {},
30	42	"outputs": [],
31	43	"source": [
32	44	"import os\n",
33	45	"import random\n",
		@@ -39,11 +51,11 @@
39	51	"\n",
40	52	"import pandas as pd\n",
41	53	"\n",
42	54	"size = 256\n",
43	55	"iterations = 10\n",
44		- "\n",
	56	+ "start = time.time()\n",
45	57	"repo_sizes = []\n",
46	58	"\n",
47	59	"formats = ['JPEG', 'BMP', 'TIFF', 'PNG']\n",
48	60	"for f in formats:\n",
49	61	" ext = f.lower()\n",
		@@ -56,11 +68,11 @@
56	68	" def add_repo_size():\n",
57	69	" rs.append(os.path.getsize(repo) / 1024.0 / 1024.0)\n",
58	70	"\n",
59	71	" try:\n",
60	72	" # Create test repo\n",
61		- " if not os.path.exists(tdir): os.mkdir(tdir, 0700)\n",
	73	+ " if not os.path.exists(tdir): os.mkdir(tdir, 0o700)\n",
62	74	" cmd = 'cd {0} ; fossil init ../{1} && fossil open ../{1} && fossil set binary-glob \"*.{2}\"'.format(\n",
63	75	" tdir, repo, ext\n",
64	76	" )\n",
65	77	" if os.system(cmd) != 0:\n",
66	78	" raise RuntimeError('Failed to create test repo ' + repo)\n",
		@@ -116,11 +128,13 @@
116	128	" finally:\n",
117	129	" if os.path.exists(ipath): os.remove(ipath)\n",
118	130	" if os.path.exists(tdir):\n",
119	131	" os.system('cd ' + tdir + ' ; fossil close -f')\n",
120	132	" os.rmdir(tdir)\n",
121		- " if os.path.exists(repo): os.remove(repo) "
	133	+ " if os.path.exists(repo): os.remove(repo)\n",
	134	+ " \n",
	135	+ "print(\"Experiment completed in \" + str(time.time() - start) + \" seconds.\")"
122	136	]
123	137	},
124	138	{
125	139	"cell_type": "code",
126	140	"execution_count": null,
		@@ -130,19 +144,32 @@
130	144	"%config InlineBackend.figure_formats = ['svg']\n",
131	145	"\n",
132	146	"import matplotlib as mpl\n",
133	147	"import matplotlib.pyplot as plt\n",
134	148	"\n",
135		- "data = pd.concat(repo_sizes, axis=1)\n",
136		- "mpl.rcParams['figure.figsize'] = (7, 4)\n",
137		- "plt.rcParams['axes.facecolor'] = 'white'\n",
138		- "data.plot(kind = 'bar', colormap = 'coolwarm',\n",
	149	+ "# Merge per-format test data into a single DataFrame without the first\n",
	150	+ "# first 3 rows: the initial empty repo state (boring) and the repo DB\n",
	151	+ "# size as it \"settles\" in its first few checkins.\n",
	152	+ "data = pd.concat(repo_sizes, axis=1).drop(range(3))\n",
	153	+ "\n",
	154	+ "mpl.rcParams['figure.figsize'] = (6, 4)\n",
	155	+ "#plt.rcParams['axes.facecolor'] = 'white'\n",
	156	+ "ax = data.plot(kind = 'bar', colormap = 'coolwarm',\n",
139	157	" grid = False, width = 0.8,\n",
140	158	" edgecolor = 'white', linewidth = 2)\n",
141		- "plt.savefig('image-format-vs-repo-size.svg')\n",
	159	+ "ax.axes.set_xlabel('Checkin index')\n",
	160	+ "ax.axes.set_ylabel('Repo size (MiB)')\n",
	161	+ "plt.savefig('image-format-vs-repo-size.svg', transparent=True)\n",
142	162	"plt.show()"
143	163	]
	164	+ },
	165	+ {
	166	+ "cell_type": "code",
	167	+ "execution_count": null,
	168	+ "metadata": {},
	169	+ "outputs": [],
	170	+ "source": []
144	171	}
145	172	],
146	173	"metadata": {
147	174	"kernelspec": {
148	175	"display_name": "Python 2",
149	176

	--- www/image-format-vs-repo-size.ipynb
	+++ www/image-format-vs-repo-size.ipynb
	@@ -6,28 +6,40 @@
6	"source": [
7	"# Image Format vs Fossil Repository Size\n",
8	"\n",
9	"## Prerequisites\n",
10	"\n",
11	"`pip install jupyter matplotlib pandas wand`\n",










12	"\n",
13	"\n",
14	"## Running\n",
15	"\n",
16	"The next cell generates the test repositories. This takes about half a minute due to the time needed for all the file I/O.\n",


17	"\n",
18	"The one after that produces the bar chart from the collected data.\n",
19	"\n",
20	"\n",
21	"## Discussion\n",
22	"\n",
23	"That is kept in [a separate document](image-format-vs-repo-size.md) so we can share that document with Fossil's Markdown renderer."
24	]
25	},
26	{
27	"cell_type": "code",
28	"execution_count": 3,
29	"metadata": {},
30	"outputs": [],
31	"source": [
32	"import os\n",
33	"import random\n",
	@@ -39,11 +51,11 @@
39	"\n",
40	"import pandas as pd\n",
41	"\n",
42	"size = 256\n",
43	"iterations = 10\n",
44	"\n",
45	"repo_sizes = []\n",
46	"\n",
47	"formats = ['JPEG', 'BMP', 'TIFF', 'PNG']\n",
48	"for f in formats:\n",
49	" ext = f.lower()\n",
	@@ -56,11 +68,11 @@
56	" def add_repo_size():\n",
57	" rs.append(os.path.getsize(repo) / 1024.0 / 1024.0)\n",
58	"\n",
59	" try:\n",
60	" # Create test repo\n",
61	" if not os.path.exists(tdir): os.mkdir(tdir, 0700)\n",
62	" cmd = 'cd {0} ; fossil init ../{1} && fossil open ../{1} && fossil set binary-glob \"*.{2}\"'.format(\n",
63	" tdir, repo, ext\n",
64	" )\n",
65	" if os.system(cmd) != 0:\n",
66	" raise RuntimeError('Failed to create test repo ' + repo)\n",
	@@ -116,11 +128,13 @@
116	" finally:\n",
117	" if os.path.exists(ipath): os.remove(ipath)\n",
118	" if os.path.exists(tdir):\n",
119	" os.system('cd ' + tdir + ' ; fossil close -f')\n",
120	" os.rmdir(tdir)\n",
121	" if os.path.exists(repo): os.remove(repo) "


122	]
123	},
124	{
125	"cell_type": "code",
126	"execution_count": null,
	@@ -130,19 +144,32 @@
130	"%config InlineBackend.figure_formats = ['svg']\n",
131	"\n",
132	"import matplotlib as mpl\n",
133	"import matplotlib.pyplot as plt\n",
134	"\n",
135	"data = pd.concat(repo_sizes, axis=1)\n",
136	"mpl.rcParams['figure.figsize'] = (7, 4)\n",
137	"plt.rcParams['axes.facecolor'] = 'white'\n",
138	"data.plot(kind = 'bar', colormap = 'coolwarm',\n",




139	" grid = False, width = 0.8,\n",
140	" edgecolor = 'white', linewidth = 2)\n",
141	"plt.savefig('image-format-vs-repo-size.svg')\n",


142	"plt.show()"
143	]







144	}
145	],
146	"metadata": {
147	"kernelspec": {
148	"display_name": "Python 2",
149

	--- www/image-format-vs-repo-size.ipynb
	+++ www/image-format-vs-repo-size.ipynb
	@@ -6,28 +6,40 @@
6	"source": [
7	"# Image Format vs Fossil Repository Size\n",
8	"\n",
9	"## Prerequisites\n",
10	"\n",
11	"This notebook was developed with [JupyterLab][jl]. To follow in my footsteps, install that and the needed Python packages:\n",
12	"\n",
13	" $ sudo pip install jupyterlab matplotlib pandas wand\n",
14	"\n",
15	"In principle, it should also work with [Anaconda Navigator][an], but because [Wand][wp] is not currently in the Anaconda base package set, you may run into difficulties making it work, as we did on macOS. These problems might not occur on Windows or Linux.\n",
16	"\n",
17	"This notebook uses the Python 2 kernel because macOS does not include Python 3, and we don't want to make adding that a prerequisite for those re-running this experiement on their own macOS systems. The code was written with Python 3 syntax changes in mind, but we haven't yet successfully tried it in a Python 3 Jupyter kernel.\n",
18	"\n",
19	"[an]: https://www.anaconda.com/distribution/\n",
20	"[jl]: https://github.com/jupyterlab/\n",
21	"[wp]: http://wand-py.org/\n",
22	"\n",
23	"\n",
24	"## Running\n",
25	"\n",
26	"The next cell generates the test repositories. This takes about 45 seconds to run, primarily due to the `sleep 1` synchronization call, made 40 times in the main test loop.\n",
27	"\n",
28	"The one after that produces the bar chart from the collected data, all but instantaneously.\n",
29	"\n",
30	"This split allows you to generate the expensive experimental data in a single pass, then play as many games as you like with the generated data.\n",
31	"\n",
32	"\n",
33	"## Discussion\n",
34	"\n",
35	"That is kept in [a separate document](image-format-vs-repo-size.md) so we can share that document with Fossil's Markdown renderer."
36	]
37	},
38	{
39	"cell_type": "code",
40	"execution_count": null,
41	"metadata": {},
42	"outputs": [],
43	"source": [
44	"import os\n",
45	"import random\n",
	@@ -39,11 +51,11 @@
51	"\n",
52	"import pandas as pd\n",
53	"\n",
54	"size = 256\n",
55	"iterations = 10\n",
56	"start = time.time()\n",
57	"repo_sizes = []\n",
58	"\n",
59	"formats = ['JPEG', 'BMP', 'TIFF', 'PNG']\n",
60	"for f in formats:\n",
61	" ext = f.lower()\n",
	@@ -56,11 +68,11 @@
68	" def add_repo_size():\n",
69	" rs.append(os.path.getsize(repo) / 1024.0 / 1024.0)\n",
70	"\n",
71	" try:\n",
72	" # Create test repo\n",
73	" if not os.path.exists(tdir): os.mkdir(tdir, 0o700)\n",
74	" cmd = 'cd {0} ; fossil init ../{1} && fossil open ../{1} && fossil set binary-glob \"*.{2}\"'.format(\n",
75	" tdir, repo, ext\n",
76	" )\n",
77	" if os.system(cmd) != 0:\n",
78	" raise RuntimeError('Failed to create test repo ' + repo)\n",
	@@ -116,11 +128,13 @@
128	" finally:\n",
129	" if os.path.exists(ipath): os.remove(ipath)\n",
130	" if os.path.exists(tdir):\n",
131	" os.system('cd ' + tdir + ' ; fossil close -f')\n",
132	" os.rmdir(tdir)\n",
133	" if os.path.exists(repo): os.remove(repo)\n",
134	" \n",
135	"print(\"Experiment completed in \" + str(time.time() - start) + \" seconds.\")"
136	]
137	},
138	{
139	"cell_type": "code",
140	"execution_count": null,
	@@ -130,19 +144,32 @@
144	"%config InlineBackend.figure_formats = ['svg']\n",
145	"\n",
146	"import matplotlib as mpl\n",
147	"import matplotlib.pyplot as plt\n",
148	"\n",
149	"# Merge per-format test data into a single DataFrame without the first\n",
150	"# first 3 rows: the initial empty repo state (boring) and the repo DB\n",
151	"# size as it \"settles\" in its first few checkins.\n",
152	"data = pd.concat(repo_sizes, axis=1).drop(range(3))\n",
153	"\n",
154	"mpl.rcParams['figure.figsize'] = (6, 4)\n",
155	"#plt.rcParams['axes.facecolor'] = 'white'\n",
156	"ax = data.plot(kind = 'bar', colormap = 'coolwarm',\n",
157	" grid = False, width = 0.8,\n",
158	" edgecolor = 'white', linewidth = 2)\n",
159	"ax.axes.set_xlabel('Checkin index')\n",
160	"ax.axes.set_ylabel('Repo size (MiB)')\n",
161	"plt.savefig('image-format-vs-repo-size.svg', transparent=True)\n",
162	"plt.show()"
163	]
164	},
165	{
166	"cell_type": "code",
167	"execution_count": null,
168	"metadata": {},
169	"outputs": [],
170	"source": []
171	}
172	],
173	"metadata": {
174	"kernelspec": {
175	"display_name": "Python 2",
176

M www/image-format-vs-repo-size.md

+114 -93

		--- www/image-format-vs-repo-size.md
		+++ www/image-format-vs-repo-size.md
		@@ -1,67 +1,73 @@
1	1	# Image Format vs Fossil Repo Size
2	2
3	3	## The Problem
4	4
5	5	Fossil has a [delta compression][dc] feature which removes redundant
6		-information from a file when checking in a subsequent version.¹ That
7		-delta is then [zlib][zl]-compressed before being stored in the Fossil
8		-repository database file.
9		-
10		-These two steps have a few practical consequences when it comes to
11		-storing already-compressed files:
12		-
13		-1. Binary data compression algorithms such as zlib turn the file data
14		- into [pseudorandom noise][prn]. Typical data compression algorithms
15		- are not [hash functions][hf], where the goal is that a change to
16		- each bit in the input has a statistically even chance of changing
17		- every bit in the output, but because they do approach that
18		- pathalogical condition, pre-compressed data tends to defeat Fossil’s
19		- delta compression algorithm, there being so little correlation
20		- between two different outputs from the binary data compression
21		- algorithm.
	6	+information from a file — with respect to the version checked in at the
	7	+tip of the current working branch — when checking in a subsequent
	8	+version.¹ That delta is then [zlib][zl]-compressed before being stored
	9	+in the Fossil repository database file.
	10	+
	11	+Storing pre-compressed data files in a Fossil repository defeats both of
	12	+these space-saving measures:
	13	+
	14	+1. Binary data compression algorithms — whether lossless as with zlib
	15	+ or lossy as with JPEG — turn the file data into [pseudorandom
	16	+ noise][prn].²
	17	+
	18	+ Typical data compression algorithms are not [hash functions][hf],
	19	+ where the goal is that a change to each bit in the input has a
	20	+ statistically even chance of changing every bit in the output, but
	21	+ because they do approach that pathological condition, pre-compressed
	22	+ data tends to defeat Fossil’s delta compression algorithm, there
	23	+ being so little correlation between two different outputs from the
	24	+ binary data compression algorithm.
22	25
23	26	2. An ideal lossless binary data compression algorithm cannot be
24	27	applied more than once to make the data even smaller, since random
25	28	noise is incompressible. The consequence for our purposes here is
26	29	that pre-compressed data doesn’t benefit from Fossil’s zlib
27	30	compression.
28	31
	32	+You might then ask, what does it matter if the space savings comes from
	33	+the application file format (e.g. JPEG, Zip, etc.) or from Fossil
	34	+itself? It really doesn’t, as far as point 2 above goes, but point 1
	35	+causes the Fossil repository to balloon out of proportion to the size of
	36	+the input data change on each checkin. This article will illustrate that
	37	+problem, quantify it, and give a solution to it.
	38	+
29	39	[dc]: ./delta_format.wiki
30	40	[hf]: https://en.wikipedia.org/wiki/Hash_function
31	41	[prn]: https://en.wikipedia.org/wiki/Pseudorandomness
32	42	[zl]: http://www.zlib.net/
33	43
34	44
35		-## Key Advice
36		-
37		-If you read no further, the takeaway from the prior two points is that
38		-you should not store already-compressed data in a Fossil repository.
39		-You’ll defeat both of its compression methods, ballooning the Fossil
40		-repository size.
41		-
42		-The remainder of this article shows the consequences of ignoring this
43		-advice. We’ll use 2D image files as our example here, but realize that
44		-this advice also applies to many other file types:
45		-
46		-* Microsoft Office: The [XML-based document formats][oox] used
47		- from Office 2003 onward (`.docx`, `.xlsx`, `.pptx`, etc.) are Zip
48		- files containing an XML document file and several collateral files.
49		- The same is true of LibreOffice’s [ODF][odf] files.
50		-
51		-* [Java][jcl]: A `.jar` file is a Zip file containing JVM
	45	+## Affected File Formats
	46	+
	47	+In this article’s core experiment, we use 2D image file formats, but
	48	+this article’s advice also applies to many other file types. For just a
	49	+few examples out of what must be thousands:
	50	+
	51	+* Microsoft Office: The [OOXML document format][oox] used from
	52	+ Office 2003 onward (`.docx`, `.xlsx`, `.pptx`, etc.) are Zip files
	53	+ containing an XML document file and several collateral files.
	54	+
	55	+* Libre Office: Its [ODF][odf] format is designed in more or less
	56	+ the same way as OOXML.
	57	+
	58	+* Java: A Java [`.jar` file][jcl] is a Zip file containing JVM
52	59	`.class` files, manifest files, and more.
53	60
54		-* [Windows Installer][wi]: An `*.msi` file is a proprietary
	61	+* Windows Installer: An [`*.msi` file][wi] is a proprietary
55	62	database format that contains, among other things, [Microsoft
56	63	Cabinet][cab]-compressed files, which in turn may hold Windows
57	64	executables, which [may themselves be compressed][exc].
58	65
59		-* SVG, PDF: Many file formats are available in both compressed
60		- and uncompressed forms. For the same basic reason as we will
61		- illustrate below, you should use the uncompressed form with Fossil
62		- wherever practical.
	66	+* SVG, PDF, TIFF, etc.: Many file formats are available in both
	67	+ compressed and uncompressed forms. You should use the uncompressed
	68	+ form with Fossil wherever practical, as we will show below.
63	69
64	70
65	71	[cab]: https://en.wikipedia.org/wiki/Cabinet_(file_format)
66	72	[exc]: https://en.wikipedia.org/wiki/Executable_compression
67	73	[jcl]: https://en.wikipedia.org/wiki/Java_(programming_language)
		@@ -71,28 +77,28 @@
71	77
72	78
73	79
74	80	## Demonstration
75	81
76		-The [`image-format-vs-repo-size.ipynb` file][nb] in this directory is a
	82	+The companion [`image-format-vs-repo-size.ipynb` file][nb] is a
77	83	[Jupyter][jp] notebook implementing the following experiment:
78	84
79		-1. Create an empty Fossil repository, and save its initial size.
	85	+1. Create an empty Fossil repository; save its initial size.
80	86
81	87	2. Use [ImageMagick][im] via [Wand][wp] to generate a JPEG file of a
82	88	particular size — currently 256 px² — filled with Gaussian noise to
83		- make data compression difficult.
	89	+ make data compression more difficult than with a solid-color image.
84	90
85	91	3. Check that image into the new Fossil repo, and remember that size.
86	92
87	93	4. Change a random pixel in the image to a random RGB value, save that
88	94	image, check it in, and remember the new Fossil repo size.
89	95
90	96	5. Iterate on step 4 some number of times — currently 10 — and remember
91	97	the Fossil repo size at each step.
92	98
93		-6. Repeat the above steps for BMP, TIFF,² and PNG.
	99	+6. Repeat the above steps for BMP, TIFF,³ and PNG.
94	100
95	101	7. Create a bar chart showing how the Fossil repository size changes
96	102	with each checkin.
97	103
98	104	We chose to use Jupyter for this because it makes it easy for you to
		@@ -109,49 +115,31 @@
109	115	[wp]: http://wand-py.org/
110	116
111	117
112	118	## Results
113	119
114		-Running the notebook gives a bar chart something like³ this:
	120	+Running the notebook gives a bar chart something like⁴ this:
115	121
116	122	![results bar chart](./image-format-vs-repo-size.svg)
117	123
118		-There are several points of interest in that chart:
119		-
120		-* The initial repository size (group "0") is the same in all four
121		- cases. This is the normal overhead for an empty Fossil repository,
122		- about 200 kiB.
	124	+There are a few key things we want to draw your attention to in that
	125	+chart:
123	126
124	127	* BMP and uncompressed TIFF are nearly identical in size for all
125		- checkins. A low-tech format like BMP will have a small edge in
126		- practice because TIFF metadata includes the option for multiple
127		- timestamps, UUIDs, etc., which bloat the checkin size by creating
128		- many small deltas. If you don't need the advantages of TIFF, a less
129		- capable image file format will give smaller checkin sizes for a
130		- given amount of change.
131		-
132		-* Because both PNG and Fossil use the zlib binary data compression
133		- algorithm, the first checkin (group “1”) is approximately the same
134		- size for PNG, BMP, and TIFF.
135		-
136		-* The repo size balloons on the first 3 checkins due to SQLite page
137		- overhead and such.
138		-
139		-* Once we’re past that initial settling-in point, the repo size goes
140		- up negligibly for BMP and TIFF due to Fossil’s delta compression
141		- algorithm: a single-pixel change results in a very small increase in
142		- the Fossil repo size, as we want. PNG and JPEG, though, show large
143		- increases on each checkin because this same tiny input change causes
144		- a large change in the computed delta.
	128	+ checkins, and the repository growth rate is negligible.⁵ We owe this
	129	+ economy to Fossil’s delta compression feature.
	130	+
	131	+* The JPEG and TIFF bars increase by large amounts on most checkins
	132	+ even though each checkin encodes only a single-pixel change!
145	133
146	134	* Because JPEG’s lossy nature allows it to start smaller and have
147	135	smaller size increases than than PNG, the crossover point with
148		- BMP/TIFF isn’t until 7-9 checkins in typical runs of this test.
149		- Given a choice among these four file formats and a willingness to
150		- use lossy image compression, a rational tradeoff is to choose JPEG
151		- for repositories where each image will change fewer than that number
152		- of times.
	136	+ BMP/TIFF isn’t until 7-9 checkins in typical runs of this [Monte
	137	+ Carlo experiment][mce]. Given a choice among these four file
	138	+ formats and a willingness to use lossy image compression, a rational
	139	+ tradeoff is to choose JPEG for repositories where each image will
	140	+ change fewer than that number of times.
153	141
154	142	[mce]: https://en.wikipedia.org/wiki/Monte_Carlo_method
155	143
156	144
157	145	## Automated Recompression
		@@ -159,11 +147,11 @@
159	147	Since programs that produce and consume binary-compressed data files
160	148	often make it either difficult or impossible to work with the
161	149	uncompressed form, we want an automated method for producing the
162	150	uncompressed form to make Fossil happy while still having the compressed
163	151	form to keep our content creation applications happy. This `Makefile`
164		-should⁴ do that for BMP, PNG, SVG, and XLSX files:
	152	+should⁶ do that for BMP, PNG, SVG, and XLSX files:
165	153
166	154	.SUFFIXES: .bmp .png .svg .svgz
167	155
168	156	.svgz.svg:
169	157	gzip -dc < $< > $@
		@@ -193,20 +181,26 @@
193	181	doc-big.pdf: doc-small.pdf
194	182	qpdf --stream-data=uncompress $@ $<
195	183
196	184	This `Makefile` allows you to treat the compressed version as the
197	185	process input, but to actually check in only the changes against the
198		-uncompressed version by typing “`make`” before “`fossil ci`”.
	186	+uncompressed version by typing “`make`” before “`fossil ci`”. This is
	187	+not actually an extra step in practice, since if you’ve got a
	188	+`Makefile`-based project, you should be building (and testing!) it
	189	+before checking each change in anyway!
199	190
200		-Because it’s based on dependency rules, only the necessary files are
201		-generated on each `make` command.
	191	+Because this technique is based on dependency rules, only the necessary
	192	+files are generated on each `make` command.
202	193
203	194	You only have to run “`make reconstitute`” once after opening a fresh
204	195	Fossil checkout to produce those compressed sources. After that, you
205		-work with the compressed files in your content creation programs.
	196	+work with the compressed files in your content creation programs. Your
	197	+build system might include some kind of bootstrapping or
	198	+auto-configuration step that you could attach this to, so that it
	199	+doesn’t need to be run by hand.
206	200
207		-The `Makefile` illustrates two primary strategies:
	201	+This `Makefile` illustrates two primary strategies:
208	202
209	203
210	204	### Input and Ouput File Formats Differ by Extension
211	205
212	206	In the case of SVG and the bitmap image formats, the file name extension
		@@ -214,14 +208,14 @@
214	208	behavior we want. The top half of the `Makefile` just tells `make` how
215	209	to map from `.svg` to `.svgz` and vice versa, and the same for `*.bmp`
216	210	to/from `*.png`.
217	211
218	212
219		-### Same Extension
	213	+### Input and Output Use the Same Extension
220	214
221		-We don’t have that luxury for Excel and PDF files, for different
222		-reasons:
	215	+We don’t have that luxury for Excel and PDF files, each for a different
	216	+reason:
223	217
224	218	* Excel: Excel has no way to work with the unpacked Zip file
225	219	contents at all, so we have to unpack it into a subdirectory, which
226	220	is what we check into Fossil. On making a fresh Fossil checkout, we
227	221	have to pack that subdirectory’s contents back up into an `*.xlsx`
		@@ -237,33 +231,60 @@
237	231	here.
238	232
239	233	----
240	234
241	235
242		-## Footnotes
	236	+## Footnotes and Digressions
243	237
244	238	1. Several other programs also do delta compression, so they’ll also be
245	239	affected by this problem: [rsync][rs], [Unison][us], [Git][git],
246	240	etc. When using file copying and synchronization programs without
247	241	delta compression, it’s best to use the most highly-compressed file
248	242	format you can tolerate, since they copy the whole file any time any
249	243	bit of it changes.
250	244
251		-2. We're using uncompressed TIFF here, not [LZW][lzw]- or
	245	+2. In fact, a good way to gauge the effectiveness of a given
	246	+ compression scheme is to run its output through the same sort of
	247	+ tests we use to gauge how “random” a given [PRNG][prng] is. Another
	248	+ way to look at it is that if there is a discernible pattern in the
	249	+ output of a compression scheme, it’s information that could be
	250	+ further compressed.
	251	+
	252	+3. We're using uncompressed TIFF here, not [LZW][lzw]- or
252	253	Zip-compressed TIFF, either of which would give similar results to
253	254	PNG, which is always zlib-compressed.
254	255
255		-3. The raw data changes somewhat from one run to the next due to the
	256	+4. The raw data changes somewhat from one run to the next due to the
256	257	use of random noise in the image to make the zlib/PNG compression
257	258	more difficult, and the random pixel changes. Those test design
258	259	choices make this a [Monte Carlo experient][mce]. We’ve found that
259		- the overall character of the results don’t change much from one run
260		- to the next.
	260	+ the overall character of the results doesn’t change from one run to
	261	+ the next.
	262	+
	263	+ The code in the notebook’s third cell drops the first three columns
	264	+ of data because the first column (the empty repository size) is
	265	+ boring, and the subsequent two checkins show the SQLite DB file
	266	+ format settling in with its first few checkins. There’s a single
	267	+ line in the notebook you can comment out to get a bar chart with
	268	+ these data included.
	269	+
	270	+ If you do this, you’ll see a mildly interesting result: the size of
	271	+ the first checkin in the BMP and TIFF cases is roughly the same as
	272	+ that for the PNG case, because both PNG and Fossil use the zlib
	273	+ binary data compression algorithm.
	274	+
	275	+5. A low-tech format like BMP will have a small edge in practice
	276	+ because TIFF metadata includes the option for multiple timestamps,
	277	+ UUIDs, etc., which bloat the checkin size by creating many small
	278	+ deltas. If you don't need the advantages of TIFF, a less capable
	279	+ image file format will give smaller checkin sizes for a given amount
	280	+ of change.
261	281
262		-4. The `Makefile` above is not battle-tested. Please report bugs and
	282	+6. The `Makefile` above is not battle-tested. Please report bugs and
263	283	needed extensions [on the forum][for].
264	284
265		-[for]: https://fossil-scm.org/forum/forumpost/15e677f2c8
266		-[git]: https://git-scm.com/
267		-[lzw]: https://en.wikipedia.org/wiki/Lempel%E2%80%93Ziv%E2%80%93Welch
268		-[rs]: https://rsync.samba.org/
269		-[us]: http://www.cis.upenn.edu/~bcpierce/unison/
	285	+[for]: https://fossil-scm.org/forum/forumpost/15e677f2c8
	286	+[git]: https://git-scm.com/
	287	+[lzw]: https://en.wikipedia.org/wiki/Lempel%E2%80%93Ziv%E2%80%93Welch
	288	+[prng]: https://en.wikipedia.org/wiki/Pseudorandom_number_generator
	289	+[rs]: https://rsync.samba.org/
	290	+[us]: http://www.cis.upenn.edu/~bcpierce/unison/
270	291

	--- www/image-format-vs-repo-size.md
	+++ www/image-format-vs-repo-size.md
	@@ -1,67 +1,73 @@
1	# Image Format vs Fossil Repo Size
2
3	## The Problem
4
5	Fossil has a [delta compression][dc] feature which removes redundant
6	information from a file when checking in a subsequent version.¹ That
7	delta is then [zlib][zl]-compressed before being stored in the Fossil
8	repository database file.
9
10	These two steps have a few practical consequences when it comes to
11	storing already-compressed files:
12
13	1. Binary data compression algorithms such as zlib turn the file data
14	into [pseudorandom noise][prn]. Typical data compression algorithms
15	are not [hash functions][hf], where the goal is that a change to
16	each bit in the input has a statistically even chance of changing
17	every bit in the output, but because they do approach that
18	pathalogical condition, pre-compressed data tends to defeat Fossil’s
19	delta compression algorithm, there being so little correlation
20	between two different outputs from the binary data compression
21	algorithm.



22
23	2. An ideal lossless binary data compression algorithm cannot be
24	applied more than once to make the data even smaller, since random
25	noise is incompressible. The consequence for our purposes here is
26	that pre-compressed data doesn’t benefit from Fossil’s zlib
27	compression.
28







29	[dc]: ./delta_format.wiki
30	[hf]: https://en.wikipedia.org/wiki/Hash_function
31	[prn]: https://en.wikipedia.org/wiki/Pseudorandomness
32	[zl]: http://www.zlib.net/
33
34
35	## Key Advice
36
37	If you read no further, the takeaway from the prior two points is that
38	you should not store already-compressed data in a Fossil repository.
39	You’ll defeat both of its compression methods, ballooning the Fossil
40	repository size.
41
42	The remainder of this article shows the consequences of ignoring this
43	advice. We’ll use 2D image files as our example here, but realize that
44	this advice also applies to many other file types:
45
46	* Microsoft Office: The [XML-based document formats][oox] used
47	from Office 2003 onward (`.docx`, `.xlsx`, `.pptx`, etc.) are Zip
48	files containing an XML document file and several collateral files.
49	The same is true of LibreOffice’s [ODF][odf] files.
50
51	* [Java][jcl]: A `.jar` file is a Zip file containing JVM
52	`.class` files, manifest files, and more.
53
54	* [Windows Installer][wi]: An `*.msi` file is a proprietary
55	database format that contains, among other things, [Microsoft
56	Cabinet][cab]-compressed files, which in turn may hold Windows
57	executables, which [may themselves be compressed][exc].
58
59	* SVG, PDF: Many file formats are available in both compressed
60	and uncompressed forms. For the same basic reason as we will
61	illustrate below, you should use the uncompressed form with Fossil
62	wherever practical.
63
64
65	[cab]: https://en.wikipedia.org/wiki/Cabinet_(file_format)
66	[exc]: https://en.wikipedia.org/wiki/Executable_compression
67	[jcl]: https://en.wikipedia.org/wiki/Java_(programming_language)
	@@ -71,28 +77,28 @@
71
72
73
74	## Demonstration
75
76	The [`image-format-vs-repo-size.ipynb` file][nb] in this directory is a
77	[Jupyter][jp] notebook implementing the following experiment:
78
79	1. Create an empty Fossil repository, and save its initial size.
80
81	2. Use [ImageMagick][im] via [Wand][wp] to generate a JPEG file of a
82	particular size — currently 256 px² — filled with Gaussian noise to
83	make data compression difficult.
84
85	3. Check that image into the new Fossil repo, and remember that size.
86
87	4. Change a random pixel in the image to a random RGB value, save that
88	image, check it in, and remember the new Fossil repo size.
89
90	5. Iterate on step 4 some number of times — currently 10 — and remember
91	the Fossil repo size at each step.
92
93	6. Repeat the above steps for BMP, TIFF,² and PNG.
94
95	7. Create a bar chart showing how the Fossil repository size changes
96	with each checkin.
97
98	We chose to use Jupyter for this because it makes it easy for you to
	@@ -109,49 +115,31 @@
109	[wp]: http://wand-py.org/
110
111
112	## Results
113
114	Running the notebook gives a bar chart something like³ this:
115
116	![results bar chart](./image-format-vs-repo-size.svg)
117
118	There are several points of interest in that chart:
119
120	* The initial repository size (group "0") is the same in all four
121	cases. This is the normal overhead for an empty Fossil repository,
122	about 200 kiB.
123
124	* BMP and uncompressed TIFF are nearly identical in size for all
125	checkins. A low-tech format like BMP will have a small edge in
126	practice because TIFF metadata includes the option for multiple
127	timestamps, UUIDs, etc., which bloat the checkin size by creating
128	many small deltas. If you don't need the advantages of TIFF, a less
129	capable image file format will give smaller checkin sizes for a
130	given amount of change.
131
132	* Because both PNG and Fossil use the zlib binary data compression
133	algorithm, the first checkin (group “1”) is approximately the same
134	size for PNG, BMP, and TIFF.
135
136	* The repo size balloons on the first 3 checkins due to SQLite page
137	overhead and such.
138
139	* Once we’re past that initial settling-in point, the repo size goes
140	up negligibly for BMP and TIFF due to Fossil’s delta compression
141	algorithm: a single-pixel change results in a very small increase in
142	the Fossil repo size, as we want. PNG and JPEG, though, show large
143	increases on each checkin because this same tiny input change causes
144	a large change in the computed delta.
145
146	* Because JPEG’s lossy nature allows it to start smaller and have
147	smaller size increases than than PNG, the crossover point with
148	BMP/TIFF isn’t until 7-9 checkins in typical runs of this test.
149	Given a choice among these four file formats and a willingness to
150	use lossy image compression, a rational tradeoff is to choose JPEG
151	for repositories where each image will change fewer than that number
152	of times.
153
154	[mce]: https://en.wikipedia.org/wiki/Monte_Carlo_method
155
156
157	## Automated Recompression
	@@ -159,11 +147,11 @@
159	Since programs that produce and consume binary-compressed data files
160	often make it either difficult or impossible to work with the
161	uncompressed form, we want an automated method for producing the
162	uncompressed form to make Fossil happy while still having the compressed
163	form to keep our content creation applications happy. This `Makefile`
164	should⁴ do that for BMP, PNG, SVG, and XLSX files:
165
166	.SUFFIXES: .bmp .png .svg .svgz
167
168	.svgz.svg:
169	gzip -dc < $< > $@
	@@ -193,20 +181,26 @@
193	doc-big.pdf: doc-small.pdf
194	qpdf --stream-data=uncompress $@ $<
195
196	This `Makefile` allows you to treat the compressed version as the
197	process input, but to actually check in only the changes against the
198	uncompressed version by typing “`make`” before “`fossil ci`”.



199
200	Because it’s based on dependency rules, only the necessary files are
201	generated on each `make` command.
202
203	You only have to run “`make reconstitute`” once after opening a fresh
204	Fossil checkout to produce those compressed sources. After that, you
205	work with the compressed files in your content creation programs.



206
207	The `Makefile` illustrates two primary strategies:
208
209
210	### Input and Ouput File Formats Differ by Extension
211
212	In the case of SVG and the bitmap image formats, the file name extension
	@@ -214,14 +208,14 @@
214	behavior we want. The top half of the `Makefile` just tells `make` how
215	to map from `.svg` to `.svgz` and vice versa, and the same for `*.bmp`
216	to/from `*.png`.
217
218
219	### Same Extension
220
221	We don’t have that luxury for Excel and PDF files, for different
222	reasons:
223
224	* Excel: Excel has no way to work with the unpacked Zip file
225	contents at all, so we have to unpack it into a subdirectory, which
226	is what we check into Fossil. On making a fresh Fossil checkout, we
227	have to pack that subdirectory’s contents back up into an `*.xlsx`
	@@ -237,33 +231,60 @@
237	here.
238
239	----
240
241
242	## Footnotes
243
244	1. Several other programs also do delta compression, so they’ll also be
245	affected by this problem: [rsync][rs], [Unison][us], [Git][git],
246	etc. When using file copying and synchronization programs without
247	delta compression, it’s best to use the most highly-compressed file
248	format you can tolerate, since they copy the whole file any time any
249	bit of it changes.
250
251	2. We're using uncompressed TIFF here, not [LZW][lzw]- or







252	Zip-compressed TIFF, either of which would give similar results to
253	PNG, which is always zlib-compressed.
254
255	3. The raw data changes somewhat from one run to the next due to the
256	use of random noise in the image to make the zlib/PNG compression
257	more difficult, and the random pixel changes. Those test design
258	choices make this a [Monte Carlo experient][mce]. We’ve found that
259	the overall character of the results don’t change much from one run
260	to the next.



















261
262	4. The `Makefile` above is not battle-tested. Please report bugs and
263	needed extensions [on the forum][for].
264
265	[for]: https://fossil-scm.org/forum/forumpost/15e677f2c8
266	[git]: https://git-scm.com/
267	[lzw]: https://en.wikipedia.org/wiki/Lempel%E2%80%93Ziv%E2%80%93Welch
268	[rs]: https://rsync.samba.org/
269	[us]: http://www.cis.upenn.edu/~bcpierce/unison/

270

	--- www/image-format-vs-repo-size.md
	+++ www/image-format-vs-repo-size.md
	@@ -1,67 +1,73 @@
1	# Image Format vs Fossil Repo Size
2
3	## The Problem
4
5	Fossil has a [delta compression][dc] feature which removes redundant
6	information from a file — with respect to the version checked in at the
7	tip of the current working branch — when checking in a subsequent
8	version.¹ That delta is then [zlib][zl]-compressed before being stored
9	in the Fossil repository database file.
10
11	Storing pre-compressed data files in a Fossil repository defeats both of
12	these space-saving measures:
13
14	1. Binary data compression algorithms — whether lossless as with zlib
15	or lossy as with JPEG — turn the file data into [pseudorandom
16	noise][prn].²
17
18	Typical data compression algorithms are not [hash functions][hf],
19	where the goal is that a change to each bit in the input has a
20	statistically even chance of changing every bit in the output, but
21	because they do approach that pathological condition, pre-compressed
22	data tends to defeat Fossil’s delta compression algorithm, there
23	being so little correlation between two different outputs from the
24	binary data compression algorithm.
25
26	2. An ideal lossless binary data compression algorithm cannot be
27	applied more than once to make the data even smaller, since random
28	noise is incompressible. The consequence for our purposes here is
29	that pre-compressed data doesn’t benefit from Fossil’s zlib
30	compression.
31
32	You might then ask, what does it matter if the space savings comes from
33	the application file format (e.g. JPEG, Zip, etc.) or from Fossil
34	itself? It really doesn’t, as far as point 2 above goes, but point 1
35	causes the Fossil repository to balloon out of proportion to the size of
36	the input data change on each checkin. This article will illustrate that
37	problem, quantify it, and give a solution to it.
38
39	[dc]: ./delta_format.wiki
40	[hf]: https://en.wikipedia.org/wiki/Hash_function
41	[prn]: https://en.wikipedia.org/wiki/Pseudorandomness
42	[zl]: http://www.zlib.net/
43
44
45	## Affected File Formats
46
47	In this article’s core experiment, we use 2D image file formats, but
48	this article’s advice also applies to many other file types. For just a
49	few examples out of what must be thousands:
50
51	* Microsoft Office: The [OOXML document format][oox] used from
52	Office 2003 onward (`.docx`, `.xlsx`, `.pptx`, etc.) are Zip files
53	containing an XML document file and several collateral files.
54
55	* Libre Office: Its [ODF][odf] format is designed in more or less
56	the same way as OOXML.
57
58	* Java: A Java [`.jar` file][jcl] is a Zip file containing JVM



59	`.class` files, manifest files, and more.
60
61	* Windows Installer: An [`*.msi` file][wi] is a proprietary
62	database format that contains, among other things, [Microsoft
63	Cabinet][cab]-compressed files, which in turn may hold Windows
64	executables, which [may themselves be compressed][exc].
65
66	* SVG, PDF, TIFF, etc.: Many file formats are available in both
67	compressed and uncompressed forms. You should use the uncompressed
68	form with Fossil wherever practical, as we will show below.

69
70
71	[cab]: https://en.wikipedia.org/wiki/Cabinet_(file_format)
72	[exc]: https://en.wikipedia.org/wiki/Executable_compression
73	[jcl]: https://en.wikipedia.org/wiki/Java_(programming_language)
	@@ -71,28 +77,28 @@
77
78
79
80	## Demonstration
81
82	The companion [`image-format-vs-repo-size.ipynb` file][nb] is a
83	[Jupyter][jp] notebook implementing the following experiment:
84
85	1. Create an empty Fossil repository; save its initial size.
86
87	2. Use [ImageMagick][im] via [Wand][wp] to generate a JPEG file of a
88	particular size — currently 256 px² — filled with Gaussian noise to
89	make data compression more difficult than with a solid-color image.
90
91	3. Check that image into the new Fossil repo, and remember that size.
92
93	4. Change a random pixel in the image to a random RGB value, save that
94	image, check it in, and remember the new Fossil repo size.
95
96	5. Iterate on step 4 some number of times — currently 10 — and remember
97	the Fossil repo size at each step.
98
99	6. Repeat the above steps for BMP, TIFF,³ and PNG.
100
101	7. Create a bar chart showing how the Fossil repository size changes
102	with each checkin.
103
104	We chose to use Jupyter for this because it makes it easy for you to
	@@ -109,49 +115,31 @@
115	[wp]: http://wand-py.org/
116
117
118	## Results
119
120	Running the notebook gives a bar chart something like⁴ this:
121
122	![results bar chart](./image-format-vs-repo-size.svg)
123
124	There are a few key things we want to draw your attention to in that
125	chart:



126
127	* BMP and uncompressed TIFF are nearly identical in size for all
128	checkins, and the repository growth rate is negligible.⁵ We owe this
129	economy to Fossil’s delta compression feature.
130
131	* The JPEG and TIFF bars increase by large amounts on most checkins
132	even though each checkin encodes only a single-pixel change!















133
134	* Because JPEG’s lossy nature allows it to start smaller and have
135	smaller size increases than than PNG, the crossover point with
136	BMP/TIFF isn’t until 7-9 checkins in typical runs of this [Monte
137	Carlo experiment][mce]. Given a choice among these four file
138	formats and a willingness to use lossy image compression, a rational
139	tradeoff is to choose JPEG for repositories where each image will
140	change fewer than that number of times.
141
142	[mce]: https://en.wikipedia.org/wiki/Monte_Carlo_method
143
144
145	## Automated Recompression
	@@ -159,11 +147,11 @@
147	Since programs that produce and consume binary-compressed data files
148	often make it either difficult or impossible to work with the
149	uncompressed form, we want an automated method for producing the
150	uncompressed form to make Fossil happy while still having the compressed
151	form to keep our content creation applications happy. This `Makefile`
152	should⁶ do that for BMP, PNG, SVG, and XLSX files:
153
154	.SUFFIXES: .bmp .png .svg .svgz
155
156	.svgz.svg:
157	gzip -dc < $< > $@
	@@ -193,20 +181,26 @@
181	doc-big.pdf: doc-small.pdf
182	qpdf --stream-data=uncompress $@ $<
183
184	This `Makefile` allows you to treat the compressed version as the
185	process input, but to actually check in only the changes against the
186	uncompressed version by typing “`make`” before “`fossil ci`”. This is
187	not actually an extra step in practice, since if you’ve got a
188	`Makefile`-based project, you should be building (and testing!) it
189	before checking each change in anyway!
190
191	Because this technique is based on dependency rules, only the necessary
192	files are generated on each `make` command.
193
194	You only have to run “`make reconstitute`” once after opening a fresh
195	Fossil checkout to produce those compressed sources. After that, you
196	work with the compressed files in your content creation programs. Your
197	build system might include some kind of bootstrapping or
198	auto-configuration step that you could attach this to, so that it
199	doesn’t need to be run by hand.
200
201	This `Makefile` illustrates two primary strategies:
202
203
204	### Input and Ouput File Formats Differ by Extension
205
206	In the case of SVG and the bitmap image formats, the file name extension
	@@ -214,14 +208,14 @@
208	behavior we want. The top half of the `Makefile` just tells `make` how
209	to map from `.svg` to `.svgz` and vice versa, and the same for `*.bmp`
210	to/from `*.png`.
211
212
213	### Input and Output Use the Same Extension
214
215	We don’t have that luxury for Excel and PDF files, each for a different
216	reason:
217
218	* Excel: Excel has no way to work with the unpacked Zip file
219	contents at all, so we have to unpack it into a subdirectory, which
220	is what we check into Fossil. On making a fresh Fossil checkout, we
221	have to pack that subdirectory’s contents back up into an `*.xlsx`
	@@ -237,33 +231,60 @@
231	here.
232
233	----
234
235
236	## Footnotes and Digressions
237
238	1. Several other programs also do delta compression, so they’ll also be
239	affected by this problem: [rsync][rs], [Unison][us], [Git][git],
240	etc. When using file copying and synchronization programs without
241	delta compression, it’s best to use the most highly-compressed file
242	format you can tolerate, since they copy the whole file any time any
243	bit of it changes.
244
245	2. In fact, a good way to gauge the effectiveness of a given
246	compression scheme is to run its output through the same sort of
247	tests we use to gauge how “random” a given [PRNG][prng] is. Another
248	way to look at it is that if there is a discernible pattern in the
249	output of a compression scheme, it’s information that could be
250	further compressed.
251
252	3. We're using uncompressed TIFF here, not [LZW][lzw]- or
253	Zip-compressed TIFF, either of which would give similar results to
254	PNG, which is always zlib-compressed.
255
256	4. The raw data changes somewhat from one run to the next due to the
257	use of random noise in the image to make the zlib/PNG compression
258	more difficult, and the random pixel changes. Those test design
259	choices make this a [Monte Carlo experient][mce]. We’ve found that
260	the overall character of the results doesn’t change from one run to
261	the next.
262
263	The code in the notebook’s third cell drops the first three columns
264	of data because the first column (the empty repository size) is
265	boring, and the subsequent two checkins show the SQLite DB file
266	format settling in with its first few checkins. There’s a single
267	line in the notebook you can comment out to get a bar chart with
268	these data included.
269
270	If you do this, you’ll see a mildly interesting result: the size of
271	the first checkin in the BMP and TIFF cases is roughly the same as
272	that for the PNG case, because both PNG and Fossil use the zlib
273	binary data compression algorithm.
274
275	5. A low-tech format like BMP will have a small edge in practice
276	because TIFF metadata includes the option for multiple timestamps,
277	UUIDs, etc., which bloat the checkin size by creating many small
278	deltas. If you don't need the advantages of TIFF, a less capable
279	image file format will give smaller checkin sizes for a given amount
280	of change.
281
282	6. The `Makefile` above is not battle-tested. Please report bugs and
283	needed extensions [on the forum][for].
284
285	[for]: https://fossil-scm.org/forum/forumpost/15e677f2c8
286	[git]: https://git-scm.com/
287	[lzw]: https://en.wikipedia.org/wiki/Lempel%E2%80%93Ziv%E2%80%93Welch
288	[prng]: https://en.wikipedia.org/wiki/Pseudorandom_number_generator
289	[rs]: https://rsync.samba.org/
290	[us]: http://www.cis.upenn.edu/~bcpierce/unison/
291

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1427

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