def feat_import2():
""" NDP load """
data = {
'lib1.mcdplib/model1.mcdp':
"mcdp {}",
'lib2.mcdplib/model2.mcdp':
"`lib1.model1",
'lib2.mcdplib/model3.mcdp':
"""\
mcdp {
a = instance `lib1.model1
}
"""
}
d = create_hierarchy(data)
librarian = Librarian()
librarian.find_libraries(d)
lib1 = librarian.load_library('lib1')
_model1 = lib1.load_ndp('model1', context=Context())
lib2 = librarian.load_library('lib2')
context = lib1._generate_context_with_hooks()
_model2 = lib2.load_ndp('model2', context)
_model3 = lib2.load_ndp('model3', context)
def go():
librarian = Librarian()
librarian.find_libraries('../..')
library = librarian.load_library('droneD_complete_templates')
library.use_cache_dir('_cached/drone_unc2')
context = library._generate_context_with_hooks()
res = {}
res['intervals'] = [0, 0.01, 0.1, 1.0, 5.0, 10.0, 50, 100.0, 250, 500, 1000]
res['results'] = []
for i, interval_mw in enumerate(res['intervals']):
s = get_ndp_code(interval_mw=interval_mw)
ndp = parse_ndp(s, context=context)
basename = ('drone_unc2_%02d_%s_mw' % (i, interval_mw)).replace('.', '_')
fn = os.path.join('generated', 'drone_unc2', basename + '.mcdp')
dn = os.path.dirname(fn)
if not os.path.exists(dn):
os.makedirs(dn)
with open(fn, 'w') as f:
f.write(s)
print('Generated %s' % fn)
result = solve_stats(ndp)
result['ndp'] = ndp
res['results'].append(result)
return res
def feat_import5():
""" Warnings in imports. """
data = {
'lib1.mcdplib/model0.mcdp':
"""
mcdp {
provides f [Nat]
f <= Nat: 2
}
""",
'lib1.mcdplib/model1.mcdp':
"""
mcdp {
a = instance `model0
}
"""
}
d = create_hierarchy(data)
librarian = Librarian()
librarian.find_libraries(d)
lib = librarian.load_library('lib1')
context = lib._generate_context_with_hooks()
_model2 = lib.load_ndp('model1', context)
for w in context.warnings:
print w.format_user()
assert_equal(len(context.warnings), 1)
def go():
librarian = Librarian()
librarian.find_libraries('../..')
library = librarian.load_library('droneD_complete_templates')
library.use_cache_dir('_cached/drone_unc2')
context = library._generate_context_with_hooks()
res = {}
res['intervals'] = [
0, 0.01, 0.1, 1.0, 5.0, 10.0, 50, 100.0, 250, 500, 1000
]
res['results'] = []
for i, interval_mw in enumerate(res['intervals']):
s = get_ndp_code(interval_mw=interval_mw)
ndp = parse_ndp(s, context=context)
basename = ('drone_unc2_%02d_%s_mw' % (i, interval_mw)).replace(
'.', '_')
fn = os.path.join('generated', 'drone_unc2', basename + '.mcdp')
dn = os.path.dirname(fn)
if not os.path.exists(dn):
os.makedirs(dn)
with open(fn, 'w') as f:
f.write(s)
print('Generated %s' % fn)
result = solve_stats(ndp)
result['ndp'] = ndp
res['results'].append(result)
return res
def process(s):
librarian = Librarian()
librarian.find_libraries('../..')
library = librarian.load_library('droneD_complete_templates')
library.use_cache_dir('_cached/drone_unc1')
ndp = library.parse_ndp(s)
combinations = {
"endurance": (np.linspace(1, 1.5, 10), "hour"),
"extra_payload": (100, "g"),
"num_missions": (1000, "[]"),
"velocity": (1.0, "m/s"),
'extra_power': (0.5, 'W'),
}
result_like = dict(total_cost="USD", total_mass='kg')
dataU = solve_combinations(ndp,
combinations,
result_like,
upper=1,
lower=None)
dataL = solve_combinations(ndp,
combinations,
result_like,
upper=None,
lower=1)
return dict(dataL=dataL, dataU=dataU)
def find_dependencies(config_dirs, maindir, seeds):
"""
returns res, with res['fd'] ~ FindDependencies
"""
librarian = Librarian()
for e in config_dirs:
librarian.find_libraries(e)
default_library = librarian.get_library_by_dir(maindir)
fd = FindDependencies(default_library)
if seeds is None:
# add all models for all libraries
libnames = list(librarian.get_libraries())
seeds = []
for libname in libnames:
library = librarian.load_library(libname)
ndps = library.list_spec(SPEC_MODELS)
for name in ndps:
seeds.append('%s.%s' % (libname, name))
else:
pass
fd.search(seeds)
res = {}
res['fd'] = fd
return res
def feat_import5():
""" Warnings in imports. """
data = {
'lib1.mcdplib/model0.mcdp': """
mcdp {
provides f [Nat]
f <= Nat: 2
}
""",
'lib1.mcdplib/model1.mcdp':
"""
mcdp {
a = instance `model0
}
"""
}
d = create_hierarchy(data)
librarian = Librarian()
librarian.find_libraries(d)
lib = librarian.load_library('lib1')
context = lib._generate_context_with_hooks()
_model2 = lib.load_ndp('model1', context)
for w in context.warnings:
print w.format_user()
assert_equal(len(context.warnings), 1)
def find_dependencies(config_dirs, maindir, seeds):
"""
returns res, with res['fd'] ~ FindDependencies
"""
librarian = Librarian()
for e in config_dirs:
librarian.find_libraries(e)
default_library = librarian.get_library_by_dir(maindir)
fd = FindDependencies(default_library)
if seeds is None:
# add all models for all libraries
libnames = list(librarian.get_libraries())
seeds = []
for libname in libnames:
library = librarian.load_library(libname)
ndps = library.list_ndps()
for name in ndps:
seeds.append('%s.%s' % (libname, name))
else:
pass
fd.search(seeds)
res = {}
res['fd'] = fd
return res
def feat_import1():
""" Poset load """
data = {
'lib1.mcdplib/poset1.mcdp_poset': "product(mass:g, energy:J)",
'lib2.mcdplib/poset2.mcdp_poset': "`lib1.poset1"
}
d = create_hierarchy(data)
librarian = Librarian()
librarian.find_libraries(d)
libraries = librarian.get_libraries()
assert 'lib1' in libraries
assert 'lib2' in libraries
assert 'path' in libraries['lib1']
assert 'library' in libraries['lib1']
lib1 = librarian.load_library('lib1')
context = lib1._generate_context_with_hooks()
_poset1 = lib1.load_poset('poset1', context)
lib2 = librarian.load_library('lib2')
_poset2 = lib2.load_poset('poset2', context)
def feat_import1():
""" Poset load """
data = {
'lib1.mcdplib/poset1.mcdp_poset': "product(mass:g, energy:J)",
'lib2.mcdplib/poset2.mcdp_poset': "`lib1.poset1"
}
d = create_hierarchy(data)
librarian = Librarian()
librarian.find_libraries(d)
libraries = librarian.get_libraries()
assert 'lib1' in libraries
assert 'lib2' in libraries
assert 'path' in libraries['lib1']
assert 'library' in libraries['lib1']
lib1 = librarian.load_library('lib1')
context = lib1._generate_context_with_hooks()
_poset1 = lib1.load_poset('poset1', context)
lib2 = librarian.load_library('lib2')
_poset2 = lib2.load_poset('poset2', context)
def feat_import3():
""" NDP load """
data = {
'lib1.mcdplib/model0.mcdp': "mcdp {}",
'lib1.mcdplib/model1.mcdp': "`model0",
'lib2.mcdplib/model2.mcdp': "`lib1.model1",
}
d = create_hierarchy(data)
librarian = Librarian()
librarian.find_libraries(d)
lib2 = librarian.load_library('lib2')
context = lib2._generate_context_with_hooks()
_model2 = lib2.load_ndp('model2', context)
def feat_import4():
data = {
'lib1.mcdplib/model0.mcdp': "mcdp {}",
'lib1.mcdplib/template1.mcdp_template': "template [] mcdp { a = instance `model0 }",
'lib2.mcdplib/template2.mcdp_template': "`lib1.template1",
'lib2.mcdplib/model2.mcdp': "specialize [] `template2",
}
d = create_hierarchy(data)
librarian = Librarian()
librarian.find_libraries(d)
lib2 = librarian.load_library('lib2')
context = lib2._generate_context_with_hooks()
_model2 = lib2.load_ndp('model2', context)
def feat_import3():
""" NDP load """
data = {
'lib1.mcdplib/model0.mcdp': "mcdp {}",
'lib1.mcdplib/model1.mcdp': "`model0",
'lib2.mcdplib/model2.mcdp': "`lib1.model1",
}
d = create_hierarchy(data)
librarian = Librarian()
librarian.find_libraries(d)
lib2 = librarian.load_library('lib2')
context = lib2._generate_context_with_hooks()
_model2 = lib2.load_ndp('model2', context)
def feat_import4():
data = {
'lib1.mcdplib/model0.mcdp': "mcdp {}",
'lib1.mcdplib/template1.mcdp_template':
"template [] mcdp { a = instance `model0 }",
'lib2.mcdplib/template2.mcdp_template': "`lib1.template1",
'lib2.mcdplib/model2.mcdp': "specialize [] `template2",
}
d = create_hierarchy(data)
librarian = Librarian()
librarian.find_libraries(d)
lib2 = librarian.load_library('lib2')
context = lib2._generate_context_with_hooks()
_model2 = lib2.load_ndp('model2', context)
def feat_import2():
""" NDP load """
data = {
'lib1.mcdplib/model1.mcdp': "mcdp {}",
'lib2.mcdplib/model2.mcdp': "`lib1.model1",
'lib2.mcdplib/model3.mcdp': """\
mcdp {
a = new lib1.model1
}
"""
}
d = create_hierarchy(data)
librarian = Librarian()
librarian.find_libraries(d)
lib1 = librarian.load_library('lib1')
_model1 = lib1.load_ndp('model1', context=Context())
lib2 = librarian.load_library('lib2')
context = lib1._generate_context_with_hooks()
_model2 = lib2.load_ndp('model2', context)
_model3 = lib2.load_ndp('model3', context)
def go():
model_name = 'droneC'
queries = []
def add(q):
queries.append(q)
n = 10
endurance = np.linspace(1, 20, n)
payload = np.linspace(5, 50, n)
for endurance, payload in zip(endurance, payload):
q = {
"num_missions": (1000, "[]"),
"extra_power": (5, "W"),
"extra_payload": (payload, "g"),
"endurance": (endurance, "minutes"),
}
add(q)
result_like = dict(total_cost="CHF", total_mass='kg')
what_to_plot_res = result_like
what_to_plot_fun = dict(extra_payload="g", endurance="minutes")
librarian = Librarian()
librarian.find_libraries('..')
lib = librarian.load_library('droneC_cost_v1')
ndp = lib.load_ndp(model_name)
data = solve_queries(ndp, queries, result_like)
r = Report()
plot_all_directions(r,
queries=data['queries'],
results=data['results'],
what_to_plot_res=what_to_plot_res,
what_to_plot_fun=what_to_plot_fun)
fn = 'out/droneC_c1.html'
print('writing to %r' % fn)
r.to_html(fn)
def process(s):
librarian = Librarian()
librarian.find_libraries('../..')
library = librarian.load_library('droneD_complete_templates')
library.use_cache_dir('_cached/drone_unc1')
ndp = library.parse_ndp(s)
combinations = {
"endurance": (np.linspace(1, 1.5, 10), "hour"),
"extra_payload": (100, "g"),
"num_missions": ( 1000, "[]"),
"velocity": (1.0, "m/s"),
'extra_power': (0.5, 'W'),
}
result_like = dict(total_cost="USD", total_mass='kg')
dataU = solve_combinations(ndp, combinations, result_like, upper=1, lower=None)
dataL = solve_combinations(ndp, combinations, result_like, upper=None, lower=1)
return dict(dataL=dataL, dataU=dataU)
def go(algo):
librarian = Librarian()
librarian.find_libraries('../..')
library = librarian.load_library('droneD_complete_templates')
library.use_cache_dir('_cached/drone_unc3')
context = library._generate_context_with_hooks()
res = {}
res['n'] = [
1, 5, 10, 15, 25, 50, 61, 75, 92, 100, 125, 150, 160, 175, 182, 200,
300, 400, 500, 600, 1000, 1500
]
# res['n'] = [1, 5, 10, 15, 25, 50, 61, 100]
# res['n'] = [3000]
res['results'] = []
for n in res['n']:
ndp = create_ndp(context)
result = solve_stats(ndp=ndp, n=n, algo=algo)
result['ndp'] = ndp
res['results'].append(result)
return res
