Fossil SCM

Updated the "Image Format vs Fossil Repo Size" doc and its associated notebook and SVG file: smarter initial repo size handling so we don't have to throw away the first 3 rows of data; now works with Anaconda, allowing simpler local replication of results; using /tmp for the test instead of relying on "open --nested" to protect us from running the experiment in-tree; clarified discussion of results.

wyoung 2020-06-26 21:49 trunk

Commit f281b3dfb794f0b9695dfaa19a98f92030864992994e8393ce789d1842e8e46b

Parent db90281cb336ec3…

3 files changed +461 -383 +52 -40 +339 -293

~ 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

+461 -383

		--- www/image-format-vs-repo-size.ipynb
		+++ www/image-format-vs-repo-size.ipynb
		@@ -6,28 +6,32 @@
6	6	"source": [
7	7	"# Image Format vs Fossil Repository Size\n",
8	8	"\n",
9	9	"## Prerequisites\n",
10	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		- " $ 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. There seems to be some sandboxing that causes problems with OS interaction in that environment. Therefore, we recommend using straight JupyterLab.\n",
16		- "\n",
17		- "This notebook was originally written for the Python 2 kernel because macOS does not include Python 3, but it was later updated for Python 3. It should still be compatible with Python 2, though.\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",
	11	+ "This notebook was originally developed with standalone [JupyterLab] and Python 2 but was later moved to JupyterLab under [Anaconda] with Python 3. Backporting to Python 2 may require manual adjustment. Getting it running under stock JupyterLab or plain-old-Jupyter should be straightforward for one familiar with the tools. We will assume you're following in my footsteps, using Anaconda.\n",
	12	+ "\n",
	13	+ "One of the reasons we switched to Anaconda is that it comes with all but one of this notebook's prerequisites, that last remaining one of which you install so:\n",
	14	+ "\n",
	15	+ " $ pip install wand\n",
	16	+ "\n",
	17	+ "That should be done in a shell where \"`pip`\" is the version that came with Anaconda. Otherwise, the package will likely end up in some other Python package tree, which Anaconda's Python kernel may not be smart enough to find on its own.\n",
	18	+ "\n",
	19	+ "Note that you do not use `conda` for this: as of this writing, [Wand] is not available in a form that installs via `conda`.\n",
	20	+ "\n",
	21	+ "This notebook was written and tested on a macOS system where `/tmp` exists. Other platforms may require adjustments to the scripts below.\n",
	22	+ "\n",
	23	+ "[Anaconda]: https://www.anaconda.com/distribution/\n",
	24	+ "[JupyterLab]: https://github.com/jupyterlab/\n",
	25	+ "[Wand]: http://wand-py.org/\n",
22	26	"\n",
23	27	"\n",
24	28	"## Running\n",
25	29	"\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",
	30	+ "The next cell generates the test repositories. This takes about 3 seconds to run on my machine. If you have to uncomment the \"`sleep`\" call in the inner loop, this will go up to about 45 seconds.\n",
27	31	"\n",
28		- "The one after that produces the bar chart from the collected data, all but instantaneously.\n",
	32	+ "The next cell produces the bar chart from the collected data, all but instantaneously.\n",
29	33	"\n",
30	34	"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	35	"\n",
32	36	"\n",
33	37	"## Discussion\n",
		@@ -42,17 +46,23 @@
42	46	"outputs": [
43	47	{
44	48	"name": "stdout",
45	49	"output_type": "stream",
46	50	"text": [
47		- "Experiment completed in 44.186978816986084 seconds.\n"
	51	+ "Created test directory /tmp/image-format-vs-repo-size\n",
	52	+ "Created ../test-jpeg.fossil for format JPEG.\n",
	53	+ "Created ../test-bmp.fossil for format BMP.\n",
	54	+ "Created ../test-tiff.fossil for format TIFF.\n",
	55	+ "Created ../test-png.fossil for format PNG.\n",
	56	+ "Experiment completed in 3.0627901554107666 seconds.\n"
48	57	]
49	58	}
50	59	],
51	60	"source": [
52	61	"import os\n",
53	62	"import random\n",
	63	+ "import subprocess\n",
54	64	"import time\n",
55	65	"\n",
56	66	"from wand.color import Color\n",
57	67	"from wand.drawing import Drawing\n",
58	68	"from wand.image import Image\n",
		@@ -61,50 +71,67 @@
61	71	"\n",
62	72	"size = 256\n",
63	73	"iterations = 10\n",
64	74	"start = time.time()\n",
65	75	"repo_sizes = []\n",
	76	+ "fossil = '/usr/local/bin/fossil'\n",
	77	+ "\n",
	78	+ "if not os.path.isfile(fossil): raise RuntimeError(\"No such executable \" + fossil)\n",
	79	+ "if not os.access(fossil, os.X_OK): raise RuntimeError(\"Cannot execute \" + fossil)\n",
66	80	"\n",
	81	+ "tdir = os.path.join('/tmp', 'image-format-vs-repo-size')\n",
	82	+ "if not os.path.isdir(tdir): os.mkdir(tdir, 0o700)\n",
	83	+ "print(\"Created test directory \" + tdir)\n",
	84	+ " \n",
67	85	"formats = ['JPEG', 'BMP', 'TIFF', 'PNG']\n",
68	86	"for f in formats:\n",
69	87	" ext = f.lower()\n",
70		- " tdir = 'test' + '-' + ext\n",
71		- " repo = tdir + '.fossil'\n",
	88	+ " wdir = os.path.join(tdir, 'work-' + ext)\n",
	89	+ " if not os.path.isdir(wdir): os.mkdir(wdir, 0o700)\n",
	90	+ " os.chdir(wdir)\n",
	91	+ " repo = '../test-' + ext + '.fossil'\n",
72	92	" ifn = 'test.' + ext\n",
73		- " ipath = os.path.join(tdir, ifn)\n",
	93	+ " ipath = os.path.join(wdir, ifn)\n",
74	94	" rs = []\n",
75	95	" \n",
76	96	" def add_repo_size():\n",
77	97	" rs.append(os.path.getsize(repo) / 1024.0 / 1024.0)\n",
	98	+ " \n",
	99	+ " def set_repo_page_size(n):\n",
	100	+ " subprocess.run([\n",
	101	+ " fossil,\n",
	102	+ " 'rebuild',\n",
	103	+ " '--compress',\n",
	104	+ " '--pagesize',\n",
	105	+ " str(n),\n",
	106	+ " '--vacuum'\n",
	107	+ " ])\n",
78	108	"\n",
79	109	" try:\n",
80	110	" # Create test repo\n",
81		- " if not os.path.exists(tdir): os.mkdir(tdir, 0o700)\n",
82		- " cmd = 'cd {0} ; fossil init ../{1} && fossil open --nested ../{1} && fossil set binary-glob \"*.{2}\"'.format(\n",
83		- " tdir, repo, ext\n",
84		- " )\n",
85		- " if os.system(cmd) != 0:\n",
86		- " raise RuntimeError('Failed to create test repo ' + repo)\n",
	111	+ " subprocess.run([fossil, 'init', repo])\n",
	112	+ " subprocess.run([fossil, 'open', repo])\n",
	113	+ " subprocess.run([fossil, 'set', 'binary-glob', \"*.{0}\".format(ext)])\n",
	114	+ " set_repo_page_size(512) # minimum\n",
87	115	" add_repo_size()\n",
	116	+ " set_repo_page_size(8192) # default\n",
	117	+ " print(\"Created \" + repo + \" for format \" + f + \".\")\n",
88	118	"\n",
89	119	" # Create test image and add it to the repo\n",
90	120	" img = Image(width = size, height = size, depth = 8,\n",
91	121	" background = 'white')\n",
92	122	" img.alpha_channel = 'remove'\n",
93	123	" img.evaluate('gaussiannoise', 1.0)\n",
94	124	" img.save(filename = ipath)\n",
95		- " cmd = 'cd {0} ; fossil add {1} && fossil ci -m \"initial\"'.format(\n",
96		- " tdir, ifn\n",
97		- " )\n",
98		- " if os.system(cmd) != 0:\n",
99		- " raise RuntimeError('Failed to add ' + ifn + ' to test repo')\n",
100		- " #print \"Created test repo \" + repo + \" for format \" + f + \".\"\n",
	125	+ " subprocess.run([fossil, 'add', ifn])\n",
	126	+ " subprocess.run([fossil, 'ci', '-m', 'initial'])\n",
	127	+ " #print(\"Added initial \" + f + \" image.\")\n",
101	128	" add_repo_size()\n",
102	129	"\n",
103	130	" # Change a random pixel to a random RGB value and check it in\n",
104	131	" # $iterations times.\n",
105		- " for i in range(iterations):\n",
	132	+ " for i in range(iterations - 1):\n",
106	133	" with Drawing() as draw:\n",
107	134	" x = random.randint(0, size - 1)\n",
108	135	" y = random.randint(0, size - 1)\n",
109	136	"\n",
110	137	" r = random.randint(0, 255)\n",
		@@ -116,372 +143,474 @@
116	143	" ))\n",
117	144	" draw.color(x, y, 'point')\n",
118	145	" draw(img)\n",
119	146	" img.save(filename = ipath)\n",
120	147	" \n",
121		- " # ImageMagick appears to use some kind of asynchronous\n",
122		- " # file saving mechanism, so we have to give it time to\n",
123		- " # complete.\n",
124		- " time.sleep(1.0)\n",
	148	+ " # You might need to uncomment the next line if you find that\n",
	149	+ " # the repo size doesn't change as expected. In some versions\n",
	150	+ " # of Wand (or is it the ImageMagick underneath?) we have seen\n",
	151	+ " # what appear to be asynchronous saves, with a zero-length file\n",
	152	+ " # here if you don't wait for the save to complete.\n",
	153	+ " #time.sleep(1.0)\n",
125	154	" \n",
126		- " cmd = 'cd {0} ; fossil ci -m \"change {1} step {2}\"'.format(\n",
127		- " tdir, f, i\n",
128		- " )\n",
129		- " if os.system(cmd) != 0:\n",
130		- " raise RuntimeError('Failed to change ' + f + ' image, step ' + str(i))\n",
	155	+ " subprocess.run([fossil, 'ci', '-m', '\"change {0} step {1}'.format(\n",
	156	+ " f, i\n",
	157	+ " )])\n",
131	158	" add_repo_size()\n",
132	159	" \n",
133	160	" # Repo complete for this format\n",
134	161	" repo_sizes.append(pd.Series(rs, name=f))\n",
135	162	"\n",
136	163	" finally:\n",
137	164	" if os.path.exists(ipath): os.remove(ipath)\n",
138	165	" if os.path.exists(tdir):\n",
139		- " os.system('cd ' + tdir + ' ; fossil close -f')\n",
140		- " os.rmdir(tdir)\n",
	166	+ " if os.path.isfile(repo):\n",
	167	+ " subprocess.run([fossil, 'close', '-f'])\n",
	168	+ " os.unlink(repo)\n",
	169	+ " os.chdir(tdir);\n",
	170	+ " os.rmdir(wdir)\n",
141	171	" if os.path.exists(repo): os.remove(repo)\n",
142	172	" \n",
143	173	"print(\"Experiment completed in \" + str(time.time() - start) + \" seconds.\")"
144	174	]
145	175	},
146	176	{
147	177	"cell_type": "code",
148		- "execution_count": 2,
	178	+ "execution_count": 1,
149	179	"metadata": {},
150	180	"outputs": [
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1580	1656	],
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		@@ -1591,15 +1667,17 @@
1591	1667	"source": [
1592	1668	"%config InlineBackend.figure_formats = ['svg']\n",
1593	1669	"\n",
1594	1670	"import matplotlib as mpl\n",
1595	1671	"import matplotlib.pyplot as plt\n",
	1672	+ "import pandas as pd\n",
	1673	+ "\n",
	1674	+ "os.chdir(tdir)\n",
1596	1675	"\n",
1597	1676	"# Merge per-format test data into a single DataFrame without the first\n",
1598		- "# first 3 rows: the initial empty repo state (boring) and the repo DB\n",
1599		- "# size as it \"settles\" in its first few checkins.\n",
1600		- "data = pd.concat(repo_sizes, axis=1).drop(range(3))\n",
	1677	+ "# first row, being the boring initial empty repo state.\n",
	1678	+ "data = pd.concat(repo_sizes, axis=1).drop(range(1))\n",
1601	1679	"\n",
1602	1680	"mpl.rcParams['figure.figsize'] = (6, 4)\n",
1603	1681	"ax = data.plot(kind = 'bar', colormap = 'coolwarm',\n",
1604	1682	" grid = False, width = 0.8,\n",
1605	1683	" edgecolor = 'white', linewidth = 2)\n",
		@@ -1631,11 +1709,11 @@
1631	1709	"file_extension": ".py",
1632	1710	"mimetype": "text/x-python",
1633	1711	"name": "python",
1634	1712	"nbconvert_exporter": "python",
1635	1713	"pygments_lexer": "ipython3",
1636		- "version": "3.7.1"
	1714	+ "version": "3.7.6"
1637	1715	}
1638	1716	},
1639	1717	"nbformat": 4,
1640		- "nbformat_minor": 2
	1718	+ "nbformat_minor": 4
1641	1719	}
1642	1720

	--- www/image-format-vs-repo-size.ipynb
	+++ www/image-format-vs-repo-size.ipynb
	@@ -6,28 +6,32 @@
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	" $ 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. There seems to be some sandboxing that causes problems with OS interaction in that environment. Therefore, we recommend using straight JupyterLab.\n",
16	"\n",
17	"This notebook was originally written for the Python 2 kernel because macOS does not include Python 3, but it was later updated for Python 3. It should still be compatible with Python 2, though.\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",
	@@ -42,17 +46,23 @@
42	"outputs": [
43	{
44	"name": "stdout",
45	"output_type": "stream",
46	"text": [
47	"Experiment completed in 44.186978816986084 seconds.\n"





48	]
49	}
50	],
51	"source": [
52	"import os\n",
53	"import random\n",

54	"import time\n",
55	"\n",
56	"from wand.color import Color\n",
57	"from wand.drawing import Drawing\n",
58	"from wand.image import Image\n",
	@@ -61,50 +71,67 @@
61	"\n",
62	"size = 256\n",
63	"iterations = 10\n",
64	"start = time.time()\n",
65	"repo_sizes = []\n",




66	"\n",




67	"formats = ['JPEG', 'BMP', 'TIFF', 'PNG']\n",
68	"for f in formats:\n",
69	" ext = f.lower()\n",
70	" tdir = 'test' + '-' + ext\n",
71	" repo = tdir + '.fossil'\n",


72	" ifn = 'test.' + ext\n",
73	" ipath = os.path.join(tdir, ifn)\n",
74	" rs = []\n",
75	" \n",
76	" def add_repo_size():\n",
77	" rs.append(os.path.getsize(repo) / 1024.0 / 1024.0)\n",










78	"\n",
79	" try:\n",
80	" # Create test repo\n",
81	" if not os.path.exists(tdir): os.mkdir(tdir, 0o700)\n",
82	" cmd = 'cd {0} ; fossil init ../{1} && fossil open --nested ../{1} && fossil set binary-glob \"*.{2}\"'.format(\n",
83	" tdir, repo, ext\n",
84	" )\n",
85	" if os.system(cmd) != 0:\n",
86	" raise RuntimeError('Failed to create test repo ' + repo)\n",
87	" add_repo_size()\n",


88	"\n",
89	" # Create test image and add it to the repo\n",
90	" img = Image(width = size, height = size, depth = 8,\n",
91	" background = 'white')\n",
92	" img.alpha_channel = 'remove'\n",
93	" img.evaluate('gaussiannoise', 1.0)\n",
94	" img.save(filename = ipath)\n",
95	" cmd = 'cd {0} ; fossil add {1} && fossil ci -m \"initial\"'.format(\n",
96	" tdir, ifn\n",
97	" )\n",
98	" if os.system(cmd) != 0:\n",
99	" raise RuntimeError('Failed to add ' + ifn + ' to test repo')\n",
100	" #print \"Created test repo \" + repo + \" for format \" + f + \".\"\n",
101	" add_repo_size()\n",
102	"\n",
103	" # Change a random pixel to a random RGB value and check it in\n",
104	" # $iterations times.\n",
105	" for i in range(iterations):\n",
106	" with Drawing() as draw:\n",
107	" x = random.randint(0, size - 1)\n",
108	" y = random.randint(0, size - 1)\n",
109	"\n",
110	" r = random.randint(0, 255)\n",
	@@ -116,372 +143,474 @@
116	" ))\n",
117	" draw.color(x, y, 'point')\n",
118	" draw(img)\n",
119	" img.save(filename = ipath)\n",
120	" \n",
121	" # ImageMagick appears to use some kind of asynchronous\n",
122	" # file saving mechanism, so we have to give it time to\n",
123	" # complete.\n",
124	" time.sleep(1.0)\n",


125	" \n",
126	" cmd = 'cd {0} ; fossil ci -m \"change {1} step {2}\"'.format(\n",
127	" tdir, f, i\n",
128	" )\n",
129	" if os.system(cmd) != 0:\n",
130	" raise RuntimeError('Failed to change ' + f + ' image, step ' + str(i))\n",
131	" add_repo_size()\n",
132	" \n",
133	" # Repo complete for this format\n",
134	" repo_sizes.append(pd.Series(rs, name=f))\n",
135	"\n",
136	" finally:\n",
137	" if os.path.exists(ipath): os.remove(ipath)\n",
138	" if os.path.exists(tdir):\n",
139	" os.system('cd ' + tdir + ' ; fossil close -f')\n",
140	" os.rmdir(tdir)\n",



141	" if os.path.exists(repo): os.remove(repo)\n",
142	" \n",
143	"print(\"Experiment completed in \" + str(time.time() - start) + \" seconds.\")"
144	]
145	},
146	{
147	"cell_type": "code",
148	"execution_count": 2,
149	"metadata": {},
150	"outputs": [
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1591	"source": [
1592	"%config InlineBackend.figure_formats = ['svg']\n",
1593	"\n",
1594	"import matplotlib as mpl\n",
1595	"import matplotlib.pyplot as plt\n",



1596	"\n",
1597	"# Merge per-format test data into a single DataFrame without the first\n",
1598	"# first 3 rows: the initial empty repo state (boring) and the repo DB\n",
1599	"# size as it \"settles\" in its first few checkins.\n",
1600	"data = pd.concat(repo_sizes, axis=1).drop(range(3))\n",
1601	"\n",
1602	"mpl.rcParams['figure.figsize'] = (6, 4)\n",
1603	"ax = data.plot(kind = 'bar', colormap = 'coolwarm',\n",
1604	" grid = False, width = 0.8,\n",
1605	" edgecolor = 'white', linewidth = 2)\n",
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1631	"file_extension": ".py",
1632	"mimetype": "text/x-python",
1633	"name": "python",
1634	"nbconvert_exporter": "python",
1635	"pygments_lexer": "ipython3",
1636	"version": "3.7.1"
1637	}
1638	},
1639	"nbformat": 4,
1640	"nbformat_minor": 2
1641	}
1642

	--- www/image-format-vs-repo-size.ipynb
	+++ www/image-format-vs-repo-size.ipynb
	@@ -6,28 +6,32 @@
6	"source": [
7	"# Image Format vs Fossil Repository Size\n",
8	"\n",
9	"## Prerequisites\n",
10	"\n",
11	"This notebook was originally developed with standalone [JupyterLab] and Python 2 but was later moved to JupyterLab under [Anaconda] with Python 3. Backporting to Python 2 may require manual adjustment. Getting it running under stock JupyterLab or plain-old-Jupyter should be straightforward for one familiar with the tools. We will assume you're following in my footsteps, using Anaconda.\n",
12	"\n",
13	"One of the reasons we switched to Anaconda is that it comes with all but one of this notebook's prerequisites, that last remaining one of which you install so:\n",
14	"\n",
15	" $ pip install wand\n",
16	"\n",
17	"That should be done in a shell where \"`pip`\" is the version that came with Anaconda. Otherwise, the package will likely end up in some other Python package tree, which Anaconda's Python kernel may not be smart enough to find on its own.\n",
18	"\n",
19	"Note that you do not use `conda` for this: as of this writing, [Wand] is not available in a form that installs via `conda`.\n",
20	"\n",
21	"This notebook was written and tested on a macOS system where `/tmp` exists. Other platforms may require adjustments to the scripts below.\n",
22	"\n",
23	"[Anaconda]: https://www.anaconda.com/distribution/\n",
24	"[JupyterLab]: https://github.com/jupyterlab/\n",
25	"[Wand]: http://wand-py.org/\n",
26	"\n",
27	"\n",
28	"## Running\n",
29	"\n",
30	"The next cell generates the test repositories. This takes about 3 seconds to run on my machine. If you have to uncomment the \"`sleep`\" call in the inner loop, this will go up to about 45 seconds.\n",
31	"\n",
32	"The next cell produces the bar chart from the collected data, all but instantaneously.\n",
33	"\n",
34	"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",
35	"\n",
36	"\n",
37	"## Discussion\n",
	@@ -42,17 +46,23 @@
46	"outputs": [
47	{
48	"name": "stdout",
49	"output_type": "stream",
50	"text": [
51	"Created test directory /tmp/image-format-vs-repo-size\n",
52	"Created ../test-jpeg.fossil for format JPEG.\n",
53	"Created ../test-bmp.fossil for format BMP.\n",
54	"Created ../test-tiff.fossil for format TIFF.\n",
55	"Created ../test-png.fossil for format PNG.\n",
56	"Experiment completed in 3.0627901554107666 seconds.\n"
57	]
58	}
59	],
60	"source": [
61	"import os\n",
62	"import random\n",
63	"import subprocess\n",
64	"import time\n",
65	"\n",
66	"from wand.color import Color\n",
67	"from wand.drawing import Drawing\n",
68	"from wand.image import Image\n",
	@@ -61,50 +71,67 @@
71	"\n",
72	"size = 256\n",
73	"iterations = 10\n",
74	"start = time.time()\n",
75	"repo_sizes = []\n",
76	"fossil = '/usr/local/bin/fossil'\n",
77	"\n",
78	"if not os.path.isfile(fossil): raise RuntimeError(\"No such executable \" + fossil)\n",
79	"if not os.access(fossil, os.X_OK): raise RuntimeError(\"Cannot execute \" + fossil)\n",
80	"\n",
81	"tdir = os.path.join('/tmp', 'image-format-vs-repo-size')\n",
82	"if not os.path.isdir(tdir): os.mkdir(tdir, 0o700)\n",
83	"print(\"Created test directory \" + tdir)\n",
84	" \n",
85	"formats = ['JPEG', 'BMP', 'TIFF', 'PNG']\n",
86	"for f in formats:\n",
87	" ext = f.lower()\n",
88	" wdir = os.path.join(tdir, 'work-' + ext)\n",
89	" if not os.path.isdir(wdir): os.mkdir(wdir, 0o700)\n",
90	" os.chdir(wdir)\n",
91	" repo = '../test-' + ext + '.fossil'\n",
92	" ifn = 'test.' + ext\n",
93	" ipath = os.path.join(wdir, ifn)\n",
94	" rs = []\n",
95	" \n",
96	" def add_repo_size():\n",
97	" rs.append(os.path.getsize(repo) / 1024.0 / 1024.0)\n",
98	" \n",
99	" def set_repo_page_size(n):\n",
100	" subprocess.run([\n",
101	" fossil,\n",
102	" 'rebuild',\n",
103	" '--compress',\n",
104	" '--pagesize',\n",
105	" str(n),\n",
106	" '--vacuum'\n",
107	" ])\n",
108	"\n",
109	" try:\n",
110	" # Create test repo\n",
111	" subprocess.run([fossil, 'init', repo])\n",
112	" subprocess.run([fossil, 'open', repo])\n",
113	" subprocess.run([fossil, 'set', 'binary-glob', \"*.{0}\".format(ext)])\n",
114	" set_repo_page_size(512) # minimum\n",


115	" add_repo_size()\n",
116	" set_repo_page_size(8192) # default\n",
117	" print(\"Created \" + repo + \" for format \" + f + \".\")\n",
118	"\n",
119	" # Create test image and add it to the repo\n",
120	" img = Image(width = size, height = size, depth = 8,\n",
121	" background = 'white')\n",
122	" img.alpha_channel = 'remove'\n",
123	" img.evaluate('gaussiannoise', 1.0)\n",
124	" img.save(filename = ipath)\n",
125	" subprocess.run([fossil, 'add', ifn])\n",
126	" subprocess.run([fossil, 'ci', '-m', 'initial'])\n",
127	" #print(\"Added initial \" + f + \" image.\")\n",



128	" add_repo_size()\n",
129	"\n",
130	" # Change a random pixel to a random RGB value and check it in\n",
131	" # $iterations times.\n",
132	" for i in range(iterations - 1):\n",
133	" with Drawing() as draw:\n",
134	" x = random.randint(0, size - 1)\n",
135	" y = random.randint(0, size - 1)\n",
136	"\n",
137	" r = random.randint(0, 255)\n",
	@@ -116,372 +143,474 @@
143	" ))\n",
144	" draw.color(x, y, 'point')\n",
145	" draw(img)\n",
146	" img.save(filename = ipath)\n",
147	" \n",
148	" # You might need to uncomment the next line if you find that\n",
149	" # the repo size doesn't change as expected. In some versions\n",
150	" # of Wand (or is it the ImageMagick underneath?) we have seen\n",
151	" # what appear to be asynchronous saves, with a zero-length file\n",
152	" # here if you don't wait for the save to complete.\n",
153	" #time.sleep(1.0)\n",
154	" \n",
155	" subprocess.run([fossil, 'ci', '-m', '\"change {0} step {1}'.format(\n",
156	" f, i\n",
157	" )])\n",


158	" add_repo_size()\n",
159	" \n",
160	" # Repo complete for this format\n",
161	" repo_sizes.append(pd.Series(rs, name=f))\n",
162	"\n",
163	" finally:\n",
164	" if os.path.exists(ipath): os.remove(ipath)\n",
165	" if os.path.exists(tdir):\n",
166	" if os.path.isfile(repo):\n",
167	" subprocess.run([fossil, 'close', '-f'])\n",
168	" os.unlink(repo)\n",
169	" os.chdir(tdir);\n",
170	" os.rmdir(wdir)\n",
171	" if os.path.exists(repo): os.remove(repo)\n",
172	" \n",
173	"print(\"Experiment completed in \" + str(time.time() - start) + \" seconds.\")"
174	]
175	},
176	{
177	"cell_type": "code",
178	"execution_count": 1,
179	"metadata": {},
180	"outputs": [
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1641	" <g transform=\"translate(80.78125 67.832812)scale(0.1 -0.1)\">\n",
1642	" <use xlink:href=\"#DejaVuSans-80\"/>\n",
1643	" <use x=\"60.302734\" xlink:href=\"#DejaVuSans-78\"/>\n",
1644	" <use x=\"135.107422\" xlink:href=\"#DejaVuSans-71\"/>\n",
1645	" </g>\n",
1646	" </g>\n",
1647	" </g>\n",
1648	" </g>\n",
1649	" </g>\n",
1650	" <defs>\n",
1651	" <clipPath id=\"p70301a0bed\">\n",
1652	" <rect height=\"217.44\" width=\"334.8\" x=\"43.78125\" y=\"7.2\"/>\n",
1653	" </clipPath>\n",
1654	" </defs>\n",
1655	"</svg>\n"
1656	],
1657	"text/plain": [
	@@ -1591,15 +1667,17 @@
1667	"source": [
1668	"%config InlineBackend.figure_formats = ['svg']\n",
1669	"\n",
1670	"import matplotlib as mpl\n",
1671	"import matplotlib.pyplot as plt\n",
1672	"import pandas as pd\n",
1673	"\n",
1674	"os.chdir(tdir)\n",
1675	"\n",
1676	"# Merge per-format test data into a single DataFrame without the first\n",
1677	"# first row, being the boring initial empty repo state.\n",
1678	"data = pd.concat(repo_sizes, axis=1).drop(range(1))\n",

1679	"\n",
1680	"mpl.rcParams['figure.figsize'] = (6, 4)\n",
1681	"ax = data.plot(kind = 'bar', colormap = 'coolwarm',\n",
1682	" grid = False, width = 0.8,\n",
1683	" edgecolor = 'white', linewidth = 2)\n",
	@@ -1631,11 +1709,11 @@
1709	"file_extension": ".py",
1710	"mimetype": "text/x-python",
1711	"name": "python",
1712	"nbconvert_exporter": "python",
1713	"pygments_lexer": "ipython3",
1714	"version": "3.7.6"
1715	}
1716	},
1717	"nbformat": 4,
1718	"nbformat_minor": 4
1719	}
1720

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

+52 -40

		--- www/image-format-vs-repo-size.md
		+++ www/image-format-vs-repo-size.md
		@@ -1,21 +1,19 @@
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 — 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
	6	+information from a file relative to its parent on check-in.¹
	7	+That delta is then [zlib][zl]-compressed before being stored
9	8	in the Fossil repository database file.
10	9
11	10	Storing pre-compressed data files in a Fossil repository defeats both of
12	11	these space-saving measures:
13	12
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
	13	+1. Binary data compression algorithms turn the file data into
	14	+ [pseudorandom noise][prn].²
17	15
18	16	Typical data compression algorithms are not [hash functions][hf],
19	17	where the goal is that a change to each bit in the input has a
20	18	statistically even chance of changing every bit in the output, but
21	19	because they do approach that pathological condition, pre-compressed
		@@ -28,11 +26,11 @@
28	26	noise is incompressible. The consequence for our purposes here is
29	27	that pre-compressed data doesn’t benefit from Fossil’s zlib
30	28	compression.
31	29
32	30	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
	31	+the application file format (e.g. JPEG, DOCX, Zip, etc.) or from Fossil
34	32	itself? It really doesn’t, as far as point 2 above goes, but point 1
35	33	causes the Fossil repository to balloon out of proportion to the size of
36	34	the input data change on each checkin. This article will illustrate that
37	35	problem, quantify it, and give a solution to it.
38	36
		@@ -50,12 +48,12 @@
50	48
51	49	* Microsoft Office: The [OOXML document format][oox] used from
52	50	Office 2003 onward (`.docx`, `.xlsx`, `.pptx`, etc.) are Zip files
53	51	containing an XML document file and several collateral files.
54	52
55		-* Libre Office: Its [ODF][odf] format is designed in more or less
56		- the same way as OOXML.
	53	+* Libre Office: For the purposes of this article, its
	54	+ [OpenDocument Format][odf] is designed the same basic way as OOXML.
57	55
58	56	* Java: A Java [`.jar` file][jcl] is a Zip file containing JVM
59	57	`.class` files, manifest files, and more.
60	58
61	59	* Windows Installer: An [`*.msi` file][wi] is a proprietary
		@@ -78,14 +76,14 @@
78	76
79	77
80	78	## Demonstration
81	79
82	80	The companion `image-format-vs-repo-size.ipynb` file ([download][nbd],
83		-[preview][nbp]) is a [Jupyter][jp] notebook implementing the following
	81	+[preview][nbp]) is a [JupyterLab][jl] notebook implementing the following
84	82	experiment:
85	83
86		-1. Create an empty Fossil repository; save its initial size.
	84	+1. Create a new minimum-size Fossil repository. Save this initial size.
87	85
88	86	2. Use [ImageMagick][im] via [Wand][wp] to generate a JPEG file of a
89	87	particular size — currently 256 px² — filled with Gaussian noise to
90	88	make data compression more difficult than with a solid-color image.
91	89
		@@ -100,20 +98,20 @@
100	98	6. Repeat the above steps for BMP, TIFF,³ and PNG.
101	99
102	100	7. Create a bar chart showing how the Fossil repository size changes
103	101	with each checkin.
104	102
105		-We chose to use Jupyter for this because it makes it easy for you to
	103	+We chose to use JupyterLab for this because it makes it easy for you to
106	104	modify the notebook to try different things. Want to see how the
107	105	results change with a different image size? Easy, change the `size`
108	106	value in the second cell of the notebook. Want to try more image
109	107	formats? You can put anything ImageMagick can recognize into the
110	108	`formats` list. Want to find the break-even point for images like those
111	109	in your own repository? Easily done with a small amount of code.
112	110
113	111	[im]: https://www.imagemagick.org/
114		-[jp]: https://jupyter.org/
	112	+[jl]: https://jupyter.org/
115	113	[nbd]: ./image-format-vs-repo-size.ipynb
116	114	[nbp]: https://nbviewer.jupyter.org/urls/fossil-scm.org/fossil/doc/trunk/www/image-format-vs-repo-size.ipynb
117	115	[wp]: http://wand-py.org/
118	116
119	117
		@@ -125,23 +123,34 @@
125	123
126	124	There are a few key things we want to draw your attention to in that
127	125	chart:
128	126
129	127	* BMP and uncompressed TIFF are nearly identical in size for all
130		- checkins, and the repository growth rate is negligible.⁵ We owe this
131		- economy to Fossil’s delta compression feature.
	128	+ checkins, and the repository growth rate is negligible past the
	129	+ first commit.⁵ We owe this economy to Fossil’s delta compression
	130	+ feature: it is encoding each of those single-pixel changes in a very
	131	+ small amount of repository space.
132	132
133	133	* The JPEG and TIFF bars increase by large amounts on most checkins
134		- even though each checkin encodes only a single-pixel change!
	134	+ even though each checkin also encodes only a single-pixel change.
	135	+
	136	+* The size of the first checkin in the BMP and TIFF cases is roughly
	137	+ the same as that for the PNG case, because both PNG and Fossil use
	138	+ the zlib binary data compression algorithm. This shows that for
	139	+ repos where the image files are committed only once, there is
	140	+ virtually no penalty to using BMP or TIFF over PNG. The file sizes
	141	+ likely differ only because of differences in zlib settings between
	142	+ the cases.
135	143
136	144	* Because JPEG’s lossy nature allows it to start smaller and have
137	145	smaller size increases than than PNG, the crossover point with
138	146	BMP/TIFF isn’t until 7-9 checkins in typical runs of this [Monte
139	147	Carlo experiment][mce]. Given a choice among these four file
140	148	formats and a willingness to use lossy image compression, a rational
141	149	tradeoff is to choose JPEG for repositories where each image will
142	150	change fewer than that number of times.
	151	+
143	152
144	153	[mce]: https://en.wikipedia.org/wiki/Monte_Carlo_method
145	154
146	155
147	156	## Automated Recompression
		@@ -235,23 +244,27 @@
235	244	----
236	245
237	246
238	247	## Footnotes and Digressions
239	248
240		-1. Several other programs also do delta compression, so they’ll also be
241		- affected by this problem: [rsync][rs], [Unison][us], [Git][git],
242		- etc. When using file copying and synchronization programs without
243		- delta compression, it’s best to use the most highly-compressed file
244		- format you can tolerate, since they copy the whole file any time any
245		- bit of it changes.
	249	+1. This problem is not Fossil-specific. Several other programs also do
	250	+ delta compression, so they’ll also be affected by this problem:
	251	+ [rsync][rs], [Unison][us], [Git][git], etc. You should take this
	252	+ article’s advice when using all such programs, not just Fossil.
	253	+
	254	+ When using file copying and synchronization programs without delta
	255	+ compression, on the other hand, it’s best to use the most
	256	+ highly-compressed file format you can tolerate, since they copy the
	257	+ whole file any time any bit of it changes.
246	258
247	259	2. In fact, a good way to gauge the effectiveness of a given
248	260	compression scheme is to run its output through the same sort of
249	261	tests we use to gauge how “random” a given [PRNG][prng] is. Another
250	262	way to look at it is that if there is a discernible pattern in the
251		- output of a compression scheme, it’s information that could be
252		- further compressed.
	263	+ output of a compression scheme, that constitutes information (in
	264	+ [the technical sense of that word][ith]) that could be further
	265	+ compressed.
253	266
254	267	3. We're using uncompressed TIFF here, not [LZW][lzw]- or
255	268	Zip-compressed TIFF, either of which would give similar results to
256	269	PNG, which is always zlib-compressed.
257	270
		@@ -260,33 +273,32 @@
260	273	more difficult, and the random pixel changes. Those test design
261	274	choices make this a [Monte Carlo experiment][mce]. We’ve found that
262	275	the overall character of the results doesn’t change from one run to
263	276	the next.
264	277
265		- The code in the notebook’s third cell drops the first three columns
266		- of data because the first column (the empty repository size) is
267		- boring, and the subsequent two checkins show the SQLite DB file
268		- format settling in with its first few checkins. There’s a single
269		- line in the notebook you can comment out to get a bar chart with
270		- these data included.
271		-
272		- If you do this, you’ll see a mildly interesting result: the size of
273		- the first checkin in the BMP and TIFF cases is roughly the same as
274		- that for the PNG case, because both PNG and Fossil use the zlib
275		- binary data compression algorithm.
276		-
277		-5. A low-tech format like BMP will have a small edge in practice
	278	+5. It’s not clear to me why there is a one-time jump in size for BMP
	279	+ and TIFF past the first commit. I suspect it is due to the SQLite
	280	+ indices being initialized for the first time.
	281	+
	282	+ Page size inflation might have something to do with it as well,
	283	+ though we tried to control that by rebuilding the initial DB with a
	284	+ minimal page size. If you re-run the program often enough, you will
	285	+ sometimes see the BMP or TIFF bar jump higher than the other, again
	286	+ likely due to one of the repos crossing a page boundary.
	287	+
	288	+ Another curious artifact in the data is that the BMP is slightly
	289	+ larger than for the TIFF. This goes against expectation because a
	290	+ low-tech format like BMP should have a small edge in this test
278	291	because TIFF metadata includes the option for multiple timestamps,
279	292	UUIDs, etc., which bloat the checkin size by creating many small
280		- deltas. If you don't need the advantages of TIFF, a less capable
281		- image file format will give smaller checkin sizes for a given amount
282		- of change.
	293	+ deltas.
283	294
284	295	6. The `Makefile` above is not battle-tested. Please report bugs and
285	296	needed extensions [on the forum][for].
286	297
287	298	[for]: https://fossil-scm.org/forum/forumpost/15e677f2c8
288	299	[git]: https://git-scm.com/
	300	+[ith]: https://en.wikipedia.org/wiki/Information_theory
289	301	[lzw]: https://en.wikipedia.org/wiki/Lempel%E2%80%93Ziv%E2%80%93Welch
290	302	[prng]: https://en.wikipedia.org/wiki/Pseudorandom_number_generator
291	303	[rs]: https://rsync.samba.org/
292	304	[us]: http://www.cis.upenn.edu/~bcpierce/unison/
293	305

	--- www/image-format-vs-repo-size.md
	+++ www/image-format-vs-repo-size.md
	@@ -1,21 +1,19 @@
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
	@@ -28,11 +26,11 @@
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
	@@ -50,12 +48,12 @@
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
	@@ -78,14 +76,14 @@
78
79
80	## Demonstration
81
82	The companion `image-format-vs-repo-size.ipynb` file ([download][nbd],
83	[preview][nbp]) is a [Jupyter][jp] notebook implementing the following
84	experiment:
85
86	1. Create an empty Fossil repository; save its initial size.
87
88	2. Use [ImageMagick][im] via [Wand][wp] to generate a JPEG file of a
89	particular size — currently 256 px² — filled with Gaussian noise to
90	make data compression more difficult than with a solid-color image.
91
	@@ -100,20 +98,20 @@
100	6. Repeat the above steps for BMP, TIFF,³ and PNG.
101
102	7. Create a bar chart showing how the Fossil repository size changes
103	with each checkin.
104
105	We chose to use Jupyter for this because it makes it easy for you to
106	modify the notebook to try different things. Want to see how the
107	results change with a different image size? Easy, change the `size`
108	value in the second cell of the notebook. Want to try more image
109	formats? You can put anything ImageMagick can recognize into the
110	`formats` list. Want to find the break-even point for images like those
111	in your own repository? Easily done with a small amount of code.
112
113	[im]: https://www.imagemagick.org/
114	[jp]: https://jupyter.org/
115	[nbd]: ./image-format-vs-repo-size.ipynb
116	[nbp]: https://nbviewer.jupyter.org/urls/fossil-scm.org/fossil/doc/trunk/www/image-format-vs-repo-size.ipynb
117	[wp]: http://wand-py.org/
118
119
	@@ -125,23 +123,34 @@
125
126	There are a few key things we want to draw your attention to in that
127	chart:
128
129	* BMP and uncompressed TIFF are nearly identical in size for all
130	checkins, and the repository growth rate is negligible.⁵ We owe this
131	economy to Fossil’s delta compression feature.


132
133	* The JPEG and TIFF bars increase by large amounts on most checkins
134	even though each checkin encodes only a single-pixel change!








135
136	* Because JPEG’s lossy nature allows it to start smaller and have
137	smaller size increases than than PNG, the crossover point with
138	BMP/TIFF isn’t until 7-9 checkins in typical runs of this [Monte
139	Carlo experiment][mce]. Given a choice among these four file
140	formats and a willingness to use lossy image compression, a rational
141	tradeoff is to choose JPEG for repositories where each image will
142	change fewer than that number of times.

143
144	[mce]: https://en.wikipedia.org/wiki/Monte_Carlo_method
145
146
147	## Automated Recompression
	@@ -235,23 +244,27 @@
235	----
236
237
238	## Footnotes and Digressions
239
240	1. Several other programs also do delta compression, so they’ll also be
241	affected by this problem: [rsync][rs], [Unison][us], [Git][git],
242	etc. When using file copying and synchronization programs without
243	delta compression, it’s best to use the most highly-compressed file
244	format you can tolerate, since they copy the whole file any time any
245	bit of it changes.



246
247	2. In fact, a good way to gauge the effectiveness of a given
248	compression scheme is to run its output through the same sort of
249	tests we use to gauge how “random” a given [PRNG][prng] is. Another
250	way to look at it is that if there is a discernible pattern in the
251	output of a compression scheme, it’s information that could be
252	further compressed.

253
254	3. We're using uncompressed TIFF here, not [LZW][lzw]- or
255	Zip-compressed TIFF, either of which would give similar results to
256	PNG, which is always zlib-compressed.
257
	@@ -260,33 +273,32 @@
260	more difficult, and the random pixel changes. Those test design
261	choices make this a [Monte Carlo experiment][mce]. We’ve found that
262	the overall character of the results doesn’t change from one run to
263	the next.
264
265	The code in the notebook’s third cell drops the first three columns
266	of data because the first column (the empty repository size) is
267	boring, and the subsequent two checkins show the SQLite DB file
268	format settling in with its first few checkins. There’s a single
269	line in the notebook you can comment out to get a bar chart with
270	these data included.
271
272	If you do this, you’ll see a mildly interesting result: the size of
273	the first checkin in the BMP and TIFF cases is roughly the same as
274	that for the PNG case, because both PNG and Fossil use the zlib
275	binary data compression algorithm.
276
277	5. A low-tech format like BMP will have a small edge in practice
278	because TIFF metadata includes the option for multiple timestamps,
279	UUIDs, etc., which bloat the checkin size by creating many small
280	deltas. If you don't need the advantages of TIFF, a less capable
281	image file format will give smaller checkin sizes for a given amount
282	of change.
283
284	6. The `Makefile` above is not battle-tested. Please report bugs and
285	needed extensions [on the forum][for].
286
287	[for]: https://fossil-scm.org/forum/forumpost/15e677f2c8
288	[git]: https://git-scm.com/

289	[lzw]: https://en.wikipedia.org/wiki/Lempel%E2%80%93Ziv%E2%80%93Welch
290	[prng]: https://en.wikipedia.org/wiki/Pseudorandom_number_generator
291	[rs]: https://rsync.samba.org/
292	[us]: http://www.cis.upenn.edu/~bcpierce/unison/
293

	--- www/image-format-vs-repo-size.md
	+++ www/image-format-vs-repo-size.md
	@@ -1,21 +1,19 @@
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 relative to its parent on check-in.¹
7	That delta is then [zlib][zl]-compressed before being stored

8	in the Fossil repository database file.
9
10	Storing pre-compressed data files in a Fossil repository defeats both of
11	these space-saving measures:
12
13	1. Binary data compression algorithms turn the file data into
14	[pseudorandom noise][prn].²

15
16	Typical data compression algorithms are not [hash functions][hf],
17	where the goal is that a change to each bit in the input has a
18	statistically even chance of changing every bit in the output, but
19	because they do approach that pathological condition, pre-compressed
	@@ -28,11 +26,11 @@
26	noise is incompressible. The consequence for our purposes here is
27	that pre-compressed data doesn’t benefit from Fossil’s zlib
28	compression.
29
30	You might then ask, what does it matter if the space savings comes from
31	the application file format (e.g. JPEG, DOCX, Zip, etc.) or from Fossil
32	itself? It really doesn’t, as far as point 2 above goes, but point 1
33	causes the Fossil repository to balloon out of proportion to the size of
34	the input data change on each checkin. This article will illustrate that
35	problem, quantify it, and give a solution to it.
36
	@@ -50,12 +48,12 @@
48
49	* Microsoft Office: The [OOXML document format][oox] used from
50	Office 2003 onward (`.docx`, `.xlsx`, `.pptx`, etc.) are Zip files
51	containing an XML document file and several collateral files.
52
53	* Libre Office: For the purposes of this article, its
54	[OpenDocument Format][odf] is designed the same basic way as OOXML.
55
56	* Java: A Java [`.jar` file][jcl] is a Zip file containing JVM
57	`.class` files, manifest files, and more.
58
59	* Windows Installer: An [`*.msi` file][wi] is a proprietary
	@@ -78,14 +76,14 @@
76
77
78	## Demonstration
79
80	The companion `image-format-vs-repo-size.ipynb` file ([download][nbd],
81	[preview][nbp]) is a [JupyterLab][jl] notebook implementing the following
82	experiment:
83
84	1. Create a new minimum-size Fossil repository. Save this initial size.
85
86	2. Use [ImageMagick][im] via [Wand][wp] to generate a JPEG file of a
87	particular size — currently 256 px² — filled with Gaussian noise to
88	make data compression more difficult than with a solid-color image.
89
	@@ -100,20 +98,20 @@
98	6. Repeat the above steps for BMP, TIFF,³ and PNG.
99
100	7. Create a bar chart showing how the Fossil repository size changes
101	with each checkin.
102
103	We chose to use JupyterLab for this because it makes it easy for you to
104	modify the notebook to try different things. Want to see how the
105	results change with a different image size? Easy, change the `size`
106	value in the second cell of the notebook. Want to try more image
107	formats? You can put anything ImageMagick can recognize into the
108	`formats` list. Want to find the break-even point for images like those
109	in your own repository? Easily done with a small amount of code.
110
111	[im]: https://www.imagemagick.org/
112	[jl]: https://jupyter.org/
113	[nbd]: ./image-format-vs-repo-size.ipynb
114	[nbp]: https://nbviewer.jupyter.org/urls/fossil-scm.org/fossil/doc/trunk/www/image-format-vs-repo-size.ipynb
115	[wp]: http://wand-py.org/
116
117
	@@ -125,23 +123,34 @@
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 past the
129	first commit.⁵ We owe this economy to Fossil’s delta compression
130	feature: it is encoding each of those single-pixel changes in a very
131	small amount of repository space.
132
133	* The JPEG and TIFF bars increase by large amounts on most checkins
134	even though each checkin also encodes only a single-pixel change.
135
136	* The size of the first checkin in the BMP and TIFF cases is roughly
137	the same as that for the PNG case, because both PNG and Fossil use
138	the zlib binary data compression algorithm. This shows that for
139	repos where the image files are committed only once, there is
140	virtually no penalty to using BMP or TIFF over PNG. The file sizes
141	likely differ only because of differences in zlib settings between
142	the cases.
143
144	* Because JPEG’s lossy nature allows it to start smaller and have
145	smaller size increases than than PNG, the crossover point with
146	BMP/TIFF isn’t until 7-9 checkins in typical runs of this [Monte
147	Carlo experiment][mce]. Given a choice among these four file
148	formats and a willingness to use lossy image compression, a rational
149	tradeoff is to choose JPEG for repositories where each image will
150	change fewer than that number of times.
151
152
153	[mce]: https://en.wikipedia.org/wiki/Monte_Carlo_method
154
155
156	## Automated Recompression
	@@ -235,23 +244,27 @@
244	----
245
246
247	## Footnotes and Digressions
248
249	1. This problem is not Fossil-specific. Several other programs also do
250	delta compression, so they’ll also be affected by this problem:
251	[rsync][rs], [Unison][us], [Git][git], etc. You should take this
252	article’s advice when using all such programs, not just Fossil.
253
254	When using file copying and synchronization programs without delta
255	compression, on the other hand, it’s best to use the most
256	highly-compressed file format you can tolerate, since they copy the
257	whole file any time any bit of it changes.
258
259	2. In fact, a good way to gauge the effectiveness of a given
260	compression scheme is to run its output through the same sort of
261	tests we use to gauge how “random” a given [PRNG][prng] is. Another
262	way to look at it is that if there is a discernible pattern in the
263	output of a compression scheme, that constitutes information (in
264	[the technical sense of that word][ith]) that could be further
265	compressed.
266
267	3. We're using uncompressed TIFF here, not [LZW][lzw]- or
268	Zip-compressed TIFF, either of which would give similar results to
269	PNG, which is always zlib-compressed.
270
	@@ -260,33 +273,32 @@
273	more difficult, and the random pixel changes. Those test design
274	choices make this a [Monte Carlo experiment][mce]. We’ve found that
275	the overall character of the results doesn’t change from one run to
276	the next.
277
278	5. It’s not clear to me why there is a one-time jump in size for BMP
279	and TIFF past the first commit. I suspect it is due to the SQLite
280	indices being initialized for the first time.
281
282	Page size inflation might have something to do with it as well,
283	though we tried to control that by rebuilding the initial DB with a
284	minimal page size. If you re-run the program often enough, you will
285	sometimes see the BMP or TIFF bar jump higher than the other, again
286	likely due to one of the repos crossing a page boundary.
287
288	Another curious artifact in the data is that the BMP is slightly
289	larger than for the TIFF. This goes against expectation because a
290	low-tech format like BMP should have a small edge in this test
291	because TIFF metadata includes the option for multiple timestamps,
292	UUIDs, etc., which bloat the checkin size by creating many small
293	deltas.


294
295	6. The `Makefile` above is not battle-tested. Please report bugs and
296	needed extensions [on the forum][for].
297
298	[for]: https://fossil-scm.org/forum/forumpost/15e677f2c8
299	[git]: https://git-scm.com/
300	[ith]: https://en.wikipedia.org/wiki/Information_theory
301	[lzw]: https://en.wikipedia.org/wiki/Lempel%E2%80%93Ziv%E2%80%93Welch
302	[prng]: https://en.wikipedia.org/wiki/Pseudorandom_number_generator
303	[rs]: https://rsync.samba.org/
304	[us]: http://www.cis.upenn.edu/~bcpierce/unison/
305

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1473

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