Adding python functions to mirror the functionalities found in src/bin

* wrap/python/spot.i: Rename to...
* wrap/python/spot_impl.i: ...this, and import spot_impl from spot.py so
that it is not needed to recompile everything when modifying python
code.
* wrap/python/spot.py: Adding python functions to mirror the
functionalities found in src/bin.
* src/bin/common_r.cc: Move simplification level...
* src/ltlvisit/simplify.hh: ... here as a constructor of
ltl_simplifier_options, to make it available in wrap/python.
* src/bin/ltlfilt.cc: Set simplification level using the new
ltl_simplifier_options constructor.
* src/bin/randltl.cc: Move most of the code...
* src/ltlvisit/randomltl.cc, src/ltlvisit/randomltl.hh: ... here, as a
class named randltlgenerator.
* wrap/python/tests/bddnqueen.py, wrap/python/tests/minato.py: Avoid
calling bdd_init twice by moving 'import spot' after bdd initialization.
* wrap/python/Makefile.am: Rename spot to spot_impl
* wrap/python/tests/Makefile.am: Add ipnbdoctest.py.
* wrap/python/.gitignore: Rename spot.py to spot_impl.py
* src/ltlvisit/tostring.cc: \ttrue and \ffalse should be \top and \bot.
* wrap/python/tests/ipnbdoctest.py: Run code cells of a python notebook
and compare the output to the actual content of the notebook.
* wrap/python/tests/randltl.ipynb: Document and test randltl.
* wrap/python/tests/run.in: Call ipnbdoctest.py to run ipython
notebooks.
This commit is contained in:
Thibaud Michaud 2014-11-06 16:02:57 +01:00 committed by Alexandre Duret-Lutz
parent cb9867b7d4
commit 3bf3d2c8a1
17 changed files with 1528 additions and 257 deletions

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@ -1,4 +1,4 @@
## Copyright (C) 2010, 2012, 2013 Labortatoire de Recherche et Développement de
## Copyright (C) 2010, 2012, 2013, 2014 Labortatoire de Recherche et Développement de
## l'EPITA.
## Copyright (C) 2003, 2004, 2005 Laboratoire d'Informatique de Paris 6 (LIP6),
## département Systèmes Répartis Coopératifs (SRC), Université Pierre
@ -21,7 +21,8 @@
EXTRA_DIST = \
$(TESTS) \
ltl2tgba.py
ltl2tgba.py \
ipnbdoctest.py
LOG_COMPILER = ./run
LOG_DRIVER = $(TEST_LOG_DRIVER)
@ -39,4 +40,5 @@ TESTS = \
minato.py \
optionmap.py \
parsetgba.py \
randltl.ipynb \
setxor.py

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@ -1,5 +1,5 @@
# -*- mode: python; coding: utf-8 -*-
# Copyright (C) 2010, 2011, 2012 Laboratoire de Recherche et
# Copyright (C) 2010, 2011, 2012, 2014 Laboratoire de Recherche et
# Développement de l'EPITA.
# Copyright (C) 2003, 2004 Laboratoire d'Informatique de Paris 6
# (LIP6), département Systèmes Répartis Coopératifs (SRC), Université
@ -25,7 +25,6 @@
import sys
from buddy import *
from spot import nl_cout
# Build the requirements for all other fields than (i,j) assuming
# that (i,j) has a queen.
@ -96,6 +95,9 @@ sys.stdout.write("There are %d solutions, one is:\n" %
bdd_satcount(queen))
solution = bdd_satone(queen)
bdd_printset(solution)
from spot import nl_cout
nl_cout()
# Cleanup all BDD variables before calling bdd_done(), otherwise

220
wrap/python/tests/ipnbdoctest.py Executable file
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@ -0,0 +1,220 @@
#!/usr/bin/env python
"""
simple example script for running and testing notebooks.
Usage: `ipnbdoctest.py foo.ipynb [bar.ipynb [...]]`
Each cell is submitted to the kernel, and the outputs are compared with those stored in the notebook.
"""
from __future__ import print_function
import os,sys,time
import base64
import re
from difflib import unified_diff as diff
from collections import defaultdict
try:
from queue import Empty
except ImportError:
print('Python 3.x is needed to run this script.')
sys.exit(77)
try:
from IPython.kernel import KernelManager
except ImportError:
from IPython.zmq.blockingkernelmanager import BlockingKernelManager as KernelManager
from IPython.nbformat.current import reads, NotebookNode
def compare_png(a64, b64):
"""compare two b64 PNGs (incomplete)"""
try:
import Image
except ImportError:
pass
adata = base64.decodestring(a64)
bdata = base64.decodestring(b64)
return True
def sanitize(s):
"""sanitize a string for comparison.
fix universal newlines, strip trailing newlines, and normalize likely random values (memory addresses and UUIDs)
"""
if not isinstance(s, str):
return s
# normalize newline:
s = s.replace('\r\n', '\n')
# ignore trailing newlines (but not space)
s = s.rstrip('\n')
# normalize hex addresses:
s = re.sub(r'0x[a-f0-9]+', '0xFFFFFFFF', s)
# normalize UUIDs:
s = re.sub(r'[a-f0-9]{8}(\-[a-f0-9]{4}){3}\-[a-f0-9]{12}', 'U-U-I-D', s)
return s
def consolidate_outputs(outputs):
"""consolidate outputs into a summary dict (incomplete)"""
data = defaultdict(list)
data['stdout'] = ''
data['stderr'] = ''
for out in outputs:
if out.type == 'stream':
data[out.stream] += out.text
elif out.type == 'pyerr':
data['pyerr'] = dict(ename=out.ename, evalue=out.evalue)
else:
for key in ('png', 'svg', 'latex', 'html', 'javascript', 'text', 'jpeg',):
if key in out:
data[key].append(out[key])
return data
def compare_outputs(test, ref, skip_compare=('png', 'traceback', 'latex', 'prompt_number')):
for key in ref:
if key not in test:
print("missing key: %s != %s" % (test.keys(), ref.keys()))
return False
elif key not in skip_compare and sanitize(test[key]) != sanitize(ref[key]):
print("mismatch %s:" % key)
exp = ref[key]
eff = test[key]
if exp[:-1] != '\n':
exp += '\n'
if eff[:-1] != '\n':
eff += '\n'
print(''.join(diff(exp.splitlines(1), eff.splitlines(1),
fromfile='expected', tofile='effective')))
return False
return True
def run_cell(shell, iopub, cell):
# print cell.input
shell.execute(cell.input)
# wait for finish, maximum 20s
shell.get_msg(timeout=20)
outs = []
while True:
try:
msg = iopub.get_msg(timeout=0.2)
except Empty:
break
msg_type = msg['msg_type']
if msg_type in ('status', 'pyin'):
continue
elif msg_type == 'clear_output':
outs = []
continue
content = msg['content']
# print msg_type, content
out = NotebookNode(output_type=msg_type)
if msg_type == 'stream':
out.stream = content['name']
out.text = content['data']
elif msg_type in ('display_data', 'pyout'):
out['metadata'] = content['metadata']
for mime, data in content['data'].items():
attr = mime.split('/')[-1].lower()
# this gets most right, but fix svg+html, plain
attr = attr.replace('+xml', '').replace('plain', 'text')
setattr(out, attr, data)
if msg_type == 'pyout':
out.prompt_number = content['execution_count']
elif msg_type == 'pyerr':
out.ename = content['ename']
out.evalue = content['evalue']
out.traceback = content['traceback']
else:
print("unhandled iopub msg:", msg_type)
outs.append(out)
return outs
def test_notebook(nb):
km = KernelManager()
km.start_kernel(extra_arguments=['--pylab=inline'], stderr=open(os.devnull, 'w'))
try:
kc = km.client()
kc.start_channels()
iopub = kc.iopub_channel
except AttributeError:
# IPython 0.13
kc = km
kc.start_channels()
iopub = kc.sub_channel
shell = kc.shell_channel
# run %pylab inline, because some notebooks assume this
# even though they shouldn't
shell.execute("pass")
shell.get_msg()
while True:
try:
iopub.get_msg(timeout=1)
except Empty:
break
successes = 0
failures = 0
errors = 0
for ws in nb.worksheets:
for i, cell in enumerate(ws.cells):
if cell.cell_type != 'code':
continue
try:
outs = run_cell(shell, iopub, cell)
except Exception as e:
print("failed to run cell:", repr(e))
print(cell.input)
errors += 1
continue
failed = False
if len(outs) != len(cell.outputs):
print("output length mismatch (expected {}, got {})".format(
len(cell.outputs), len(outs)))
failed = True
for out, ref in zip(outs, cell.outputs):
if not compare_outputs(out, ref):
failed = True
print("cell %d: " % i, end="")
if failed:
print("FAIL")
failures += 1
else:
print("OK")
successes += 1
print()
print("tested notebook %s" % nb.metadata.name)
print(" %3i cells successfully replicated" % successes)
if failures:
print(" %3i cells mismatched output" % failures)
if errors:
print(" %3i cells failed to complete" % errors)
kc.stop_channels()
km.shutdown_kernel()
del km
if failures | errors:
sys.exit(1)
if __name__ == '__main__':
for ipynb in sys.argv[1:]:
print("testing %s" % ipynb)
with open(ipynb) as f:
nb = reads(f.read(), 'json')
test_notebook(nb)

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@ -1,6 +1,6 @@
# -*- mode: python; coding: utf-8 -*-
# Copyright (C) 2010, 2012, 2013 Laboratoire de Recherche et Développement
# de l'Epita
# Copyright (C) 2010, 2012, 2013, 2014 Laboratoire de Recherche et
# Développement de l'Epita
# Copyright (C) 2004 Laboratoire d'Informatique de Paris 6 (LIP6),
# département Systèmes Répartis Coopératifs (SRC), Université Pierre
# et Marie Curie.
@ -20,7 +20,6 @@
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
import spot
import buddy
import sys
@ -33,6 +32,8 @@ c = buddy.bdd_ithvar(2)
w = -a & -b | -c & b | a & -b
import spot
isop = spot.minato_isop(w)
i = isop.next()

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@ -0,0 +1,632 @@
{
"metadata": {
"name": "",
"signature": "sha256:b16de2c9883c0fecb450f9d7f4885937abcfc1d1fef584d47109fcee13a68c9a"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Documentation for spot's randltl python binding"
]
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"import spot"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Basic usage"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Generate random formulas from specified atomic propositions:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"f = spot.randltl(['a', 'b', 'c'])\n",
"for i in range(3):\n",
" print(next(f))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"0\n",
"0 R b\n",
"F(XG(F!b M Fb) W (b R a))\n"
]
}
],
"prompt_number": 2
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Generate random formulas using 3 atomic propositions:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"f = spot.randltl(3)\n",
"for i in range(3):\n",
" print(next(f))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"0\n",
"0 R p1\n",
"F(XG(F!p1 M Fp1) W (p1 R p0))\n"
]
}
],
"prompt_number": 3
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"By default, there is no limit to the number of formulas generated.<br/>\n",
"To specify a number of formulas:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"f = spot.randltl(3, 4)\n",
"for formula in f:\n",
" print(formula)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"0\n",
"0 R p1\n",
"F(XG(F!p1 M Fp1) W (p1 R p0))\n",
"F(p0 R !p2)\n"
]
}
],
"prompt_number": 4
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Keyword arguments"
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"seed"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Seed for the pseudo random number generator (default: 0)."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"f = spot.randltl(3, seed=11)\n",
"print(next(f))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"G(p1 U Gp0)\n"
]
}
],
"prompt_number": 12
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"output"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Type of formulas to output: 'ltl', 'psl', 'bool' or 'sere' (default: 'ltl')."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"f = spot.randltl(3, output='psl', seed=332)\n",
"print(next(f))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"{{p0 && p2}[*]}<>-> (Fp2 & Fp0)\n"
]
}
],
"prompt_number": 26
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"allow_dups"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Allow duplicate formulas (default: False)."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"f = spot.randltl(1, allow_dups=True)\n",
"print(next(f))\n",
"print(next(f))\n",
"print(next(f))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"0\n",
"0\n",
"Fp0\n"
]
}
],
"prompt_number": 27
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"tree_size"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Tree size of the formulas generated, before mandatory simplifications (default: 15)."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"f = spot.randltl(3, tree_size=30, seed=11)\n",
"print(next(f))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"G(((p0 U !Xp2) M Gp2) U Gp0)\n"
]
}
],
"prompt_number": 29
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A range can be specified as a tuple:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"f = spot.randltl(3, tree_size=(1, 40))\n",
"print(next(f))\n",
"print(next(f))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"X!(Gp2 M p1) R (!p1 M Xp2)\n",
"F(G(F(Gp0 R (1 U Fp1)) M (p1 -> Gp0)) M F((p0 | Fp0) W Gp1))\n"
]
}
],
"prompt_number": 30
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"boolean_priorities, ltl_priorities, sere_priorities, dump_priorities"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"f = spot.randltl(3, output='bool', boolean_priorities='and=10,or=0')\n",
"for i in range(5):\n",
" print(next(f))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"0\n",
"!p1 & (p1 <-> p2)\n",
"p1\n",
"p0 & ((p1 & p2) <-> !(!p0 & p1 & p2))\n",
"1\n"
]
}
],
"prompt_number": 31
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To see which operators are available along with their default priorities:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"spot.randltl(3, output='psl', dump_priorities=True)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Use argument ltl_priorities=STRING to set the following LTL priorities:\n",
"\n",
"ap\t3\n",
"false\t1\n",
"true\t1\n",
"not\t1\n",
"F\t1\n",
"G\t1\n",
"X\t1\n",
"Closure\t1\n",
"equiv\t1\n",
"implies\t1\n",
"xor\t1\n",
"R\t1\n",
"U\t1\n",
"W\t1\n",
"M\t1\n",
"and\t1\n",
"or\t1\n",
"EConcat\t1\n",
"UConcat\t1\n",
"\n",
"Use argument sere_priorities=STRING to set the following SERE priorities:\n",
"\n",
"ap\t3\n",
"false\t1\n",
"true\t1\n",
"not\t1\n",
"F\t1\n",
"G\t1\n",
"X\t1\n",
"Closure\t1\n",
"equiv\t1\n",
"implies\t1\n",
"xor\t1\n",
"R\t1\n",
"U\t1\n",
"W\t1\n",
"M\t1\n",
"and\t1\n",
"or\t1\n",
"EConcat\t1\n",
"UConcat\t1\n",
"eword\t1\n",
"boolform\t1\n",
"star\t1\n",
"star_b\t1\n",
"fstar\t1\n",
"fstar_b\t1\n",
"and\t1\n",
"andNLM\t1\n",
"or\t1\n",
"concat\t1\n",
"fusion\t1\n",
"\n",
"Use argument boolean_priorities=STRING to set the following Boolean formula priorities:\n",
"\n",
"ap\t3\n",
"false\t1\n",
"true\t1\n",
"not\t1\n",
"F\t1\n",
"G\t1\n",
"X\t1\n",
"Closure\t1\n",
"equiv\t1\n",
"implies\t1\n",
"xor\t1\n",
"R\t1\n",
"U\t1\n",
"W\t1\n",
"M\t1\n",
"and\t1\n",
"or\t1\n",
"EConcat\t1\n",
"UConcat\t1\n",
"eword\t1\n",
"boolform\t1\n",
"star\t1\n",
"star_b\t1\n",
"fstar\t1\n",
"fstar_b\t1\n",
"and\t1\n",
"andNLM\t1\n",
"or\t1\n",
"concat\t1\n",
"fusion\t1\n",
"ap\t3\n",
"false\t1\n",
"true\t1\n",
"not\t1\n",
"equiv\t1\n",
"implies\t1\n",
"xor\t1\n",
"and\t1\n",
"or\t1\n",
"\n"
]
}
],
"prompt_number": 32
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"simplify"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"0 No rewriting<br/>\n",
"1 basic rewritings and eventual/universal rules<br/>\n",
"2 additional syntactic implication rules<br/>\n",
"3 better implications using containment<br/>\n",
"default: 3"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"f = spot.randltl(3, simplify=0, seed=5)\n",
"print(next(f))\n",
"f = spot.randltl(3, simplify=3, seed=5)\n",
"print(next(f))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"G!(!p2 & (Xp1 | F(p0 R Xp1)))\n",
"G(p2 | (X!p1 & G(!p0 U X!p1)))\n"
]
}
],
"prompt_number": 36
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Filters and maps"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"most boolean functions found in the class formula can be used to filter the random formula generator like this:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"f = spot.randltl(3, 20).is_syntactic_stutter_invariant()\n",
"for formula in f:\n",
" print(formula)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"0\n",
"0 R p1\n",
"F(p0 R !p2)\n",
"G(p0 | Fp1) W (FGp1 R !p1)\n",
"(p1 R G!p2) | G(p1 U !p0)\n",
"(p1 W p0) U p1\n",
"F!G(!Gp2 W p2)\n",
"G!p2 & (!((p1 & Fp2) M p2) U p2)\n"
]
}
],
"prompt_number": 40
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"likewise, functions from formula to formula can be applied to map the iterator:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"f = spot.randltl(2, 6).remove_x()\n",
"for formula in f:\n",
" print(formula)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"0\n",
"!(F!p1 M 1)\n",
"(Fp1 | Gp0) M 1\n",
"F!(!p1 <-> FGp1)\n",
"Gp1 U (p1 U GFp1)\n",
"(!p1 U p1) U ((p0 & (p0 U (!p0 & (!p0 -> Fp1))) & ((p1 U !p0) | (!p1 U !p0))) | (!p0 & (!p0 U (p0 & (!p0 -> Fp1))) & ((!p1 U p0) | (p1 U p0))) | (p1 & (p1 U (!p1 & (!p0 -> Fp1))) & ((!p0 U !p1) | (p0 U !p1))) | (!p1 & (!p1 U (p1 & (!p0 -> Fp1))) & ((!p0 U p1) | (p0 U p1))) | ((!p0 -> Fp1) & (Gp0 | G!p0) & (Gp1 | G!p1)))\n"
]
}
],
"prompt_number": 42
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You may have noticed that the return type of randltl is 'formulaiterator'.<br/>\n",
"Since the boolean functions and the 'mapping' functions return an iterator of the same type, this means these operations can be chained like this:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"f = spot.randltl(3, 20).is_syntactic_stutter_invariant().relabel(spot.Abc).simplify()\n",
"for formula in f:\n",
" print(formula)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"0\n",
"Ga\n",
"F(a R !b)\n",
"G(a | Fb) | (FGb R !b)\n",
"G!b | G(a U !c)\n",
"b U a\n",
"0\n",
"0\n"
]
}
],
"prompt_number": 44
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}

View file

@ -1,9 +1,9 @@
#!/bin/sh
# Copyright (C) 2010, 2011 Laboratoire de Recherche et Developpement de
# l'EPITA (LRDE).
# -*- coding: utf-8 -*-
# Copyright (C) 2010, 2011, 2014, 2015 Laboratoire de Recherche et
# Developpement de l'EPITA (LRDE).
# Copyright (C) 2003, 2004 Laboratoire d'Informatique de Paris 6
# (LIP6), département Systèmes Répartis Coopératifs (SRC), Université
# (LIP6), département Systèmes Répartis Coopératifs (SRC), Université
# Pierre et Marie Curie.
#
# This file is part of Spot, a model checking library.
@ -36,11 +36,14 @@ test -z "$1" &&
PYTHONPATH=$pypath DYLD_LIBRARY_PATH=$modpath exec @PYTHON@
case $1 in
*.ipynb)
PYTHONPATH=$pypath DYLD_LIBRARY_PATH=$modpath \
exec @PYTHON@ @srcdir@/ipnbdoctest.py "$@";;
*.py)
PYTHONPATH=$pypath DYLD_LIBRARY_PATH=$modpath exec @PYTHON@ "$@";;
*.test)
exec sh -x "$@";;
ipython*)
*python*)
PYTHONPATH=$pypath DYLD_LIBRARY_PATH=$modpath exec "$@";;
*)
echo "Unknown extension" >&2