def check(self):
rep = dict()
roots = list(self.roots())
nodes = set(self.nodes[item].ident for item in self.nodes)
parents = set(
self.parent(item)
for item in filter(lambda i: not self.is_root(i), self.nodes))
children = list()
for item in self.nodes:
children.extend(self.children(item))
children = set(children)
rep['nonempty'] = self.size() > 0
rep['single_root'] = len(roots) == 1
rep['defined_ids'] = all(nodes)
rep['unique_ids'] = len(nodes) == len(self.nodes)
rep['valid_ids'] = nodes == set(self.nodes)
rep['valid_parents'] = parents.issubset(self.nodes)
rep['valid_children'] = children.issubset(self.nodes)
rep['no_root_reference'] = children.isdisjoint(roots)
rep['no_self_reference'] = all(
self.parent(item) not in self.children(item)
for item in self.nodes)
rep['valid_links'] = all(item in self.children(self.parent(item))
for item in self.nodes
if self.parent(item) is not None)
rep['traversable_data'] = set(self.nodes) == set(self.traverse())
return rep
def __eq__(self, other):
if isinstance(other, Dyad):
return builtins.all(self.notes[i] == other.notes[i]
for i in range(len(self.notes)))
else:
if builtins.all(isinstance(other[i], Note) for i in range(len(other))):
return self.notes == other
def __contains__(self, k):
if isinstance(k, Note):
return k.to_octave(0) in self.notes
elif isinstance(k, Chord):
return builtins.all(n in self for n in k.notes)
elif isinstance(k, (list, set, tuple)):
return builtins.all(x in self for x in k)
else:
return False
def test_chain(self):
list1 = ['A', 'B', 'C']
list2 = ['D', 'E', 'F']
chain1 = evaluate(chain(make_deferrable(list1), list2))
chain2 = itertools.chain(list1, list2)
self.assertTrue(
builtins.all((a == b for a, b in builtins.zip(chain1, chain2))))
def eliminate(values, s, d):
"""Eliminate d from values[s]; propagate when values or places <=2.
Return values, except return False if a contradiction is detected."""
if d not in values[s]:
return values # Already eliminated.
values[s] = values[s].replace(d, '')
# (1) if a square s is reduced to one value d2, then eliminated d2 from the peers.
if len(values[s]) == 0:
return False # Contradiction is detected
elif len(values[s]) == 1:
d2 = values[s]
if not all(eliminate(values, s2, d2) for s2 in peers[s]):
return False
# (2) if a unit u is reduced to only one place for a value d, then put it there.
for u in units[s]:
dplaces = [s1 for s1 in u if d in values[s1]]
if len(dplaces) == 0:
return False # Contradiction: No place for this value
elif len(dplaces) == 1:
# d can only be in one place is unit; assign it there
if not assign(values, dplaces[0], d):
return False
return values
def has_perms(self, perm_list, obj=None):
"""
Returns True if the user has each of the specified permissions. If
object is passed, it checks if the user has all required perms for this
object.
"""
return all(self.has_perm(perm, obj) for perm in perm_list)
def wrapped(tup_arg, **kwargs):
types = tuple(a.dtype for a in tup_arg)
if builtins.all(t == types[0] for t in types):
return func(tup_arg, **kwargs)
max_rank = max(TYPES_TO_RANK[t] for t in types)
max_type = TYPES_BY_RANK[max_rank]
tup_arg = tuple(a.to(max_type) for a in tup_arg)
return func(tup_arg, **kwargs)
def test():
"""A set of unit tests"""
assert len(squares) == 81
assert len(unit_list) == 27
assert all(len(units[s]) == 3 for s in squares)
assert all(len(peers[s]) == 20 for s in peers)
assert units['C2'] == [[
'A2', 'B2', 'C2', 'D2', 'E2', 'F2', 'G2', 'H2', 'I2'
], ['C1', 'C2', 'C3', 'C4', 'C5', 'C6', 'C7', 'C8',
'C9'], ['A1', 'A2', 'A3', 'B1', 'B2', 'B3', 'C1', 'C2', 'C3']]
assert peers['C2'] == set([
'A2', 'B2', 'D2', 'E2', 'F2', 'G2', 'H2', 'I2', 'C1', 'C3', 'C4', 'C5',
'C6', 'C7', 'C8', 'C9', 'A1', 'A3', 'B1', 'B3'
])
print('All test pass')
def __init__(self, data):
if not isinstance(data, Sequence):
raise TypeError('data argument is not a sequence')
if not builtins.all(isinstance(v, numbers.Number) for v in data):
raise ValueError('data argument contains an element that is not a number')
self.data = list(data)
def check(self):
rep = Nodes.check(self)
rep['increasing_id_order'] = all(self.parent(item) < item
for item in filter(lambda i: not self.is_root(i), self.nodes))
rep['valid_types'] = all(self.type(item) in Point.TYPES for item in self.nodes)
rep['nonzero_diam'] = all(self.diam(item) != 0 for item in self.nodes)
rep['sequential_ids'] = sorted(self.nodes) == list(range(min(self.nodes), max(self.nodes)+1))
rep['no_forks'] = all(len(self.nodes[ident].children) == 2 for ident in self.forks() if not self.is_root(ident))
soma = list(filter(self.is_soma, self.nodes))
if soma:
rep['unit_id_in_soma'] = 1 in soma
rep['unit_id_is_root'] = 1 == self.root()
path = list()
for ident in self.stems():
path.extend(self.traverse(ident))
rep['unit_id_is_origin'] = set(path) == set(self.nodes).difference(soma)
return rep
def test_max_to_ord():
try:
from lesson import max_to_ord
except ImportError:
_import_error('max_to_ord')
return False
args_and_expected = {'': -1, '23l4km2l3k4234': 109, 'a': 97, 'thbjgk': 116}
return all([v == max_to_ord(k) for k, v in args_and_expected.items()])
def all(iterable, pred):
"""Returns True if ALL elements in the given iterable are true for the
given pred function"""
warnings.warn(
"pipe.all is deprecated, use the builtin all(...) instead.",
DeprecationWarning,
stacklevel=4,
)
return builtins.all(pred(x) for x in iterable)
def _testing(x, __args_raw=None):
x = __args_raw["x"] # x as a series, dtype has been compromised
if is_scalar_pd(x):
return isinstance(x, scalar_types)
if hasattr(x, "dtype"):
return dtype_checker(x)
return builtins.all(isinstance(elem, scalar_types) for elem in x)
def test_is_number_positive():
try:
from lesson import is_number_positive
except ImportError:
_import_error('is_number_positive')
return False
falses = [is_number_positive(x) for x in [-1, -2, -3, -4, -5]]
trues = [is_number_positive(x) for x in [1, 2, 3, 4, 5]]
return not any(falses) and all(trues) and is_number_positive(
0) == "Neither"
def all(f, lst):
"""Returns `true` if all elements of the list match the predicate, `false` if there are any that don't.
Args:
f (function): The predicate function.
lst (list): The list to consider.
Returns:
bool: `true` if the predicate is satisfied by every element, `false` otherwise.
"""
return builtins.all(map(f, lst))
def _validate_axis(axis, ndim, argname):
try:
axis = [operator.index(axis)]
except TypeError:
axis = list(axis)
axis = [a + ndim if a < 0 else a for a in axis]
if not builtins.all(0 <= a < ndim for a in axis):
raise ValueError(f"invalid axis for this array in {argname} argument")
if len(set(axis)) != len(axis):
raise ValueError(f"repeated axis in {argname} argument")
return axis
def generate_parameter_list(self, projectId, phaseId=None):
"""
generate offset parameter list
todo: collect outputs somewhere else!
"""
# go for a particular project
theProject_id = projectId
allProjects = self.myContext.allProjects
timelineStart = self.myContext.timelineStart
timelineLength = self.myContext.timelineLength
# determine the combined length of the phases,
# the maximal sum of times in between
thePhases = next(p.phases for p in allProjects
if p.id == theProject_id)
thePhases.sort(key=lambda ph: ph.start_date)
origOffsets = [
monthsDifference(ph2.start_date,
(timelineStart if ph1 is None else
(ph1.end_date + datetime.timedelta(days=1))))
for ph1, ph2 in zip([None] + thePhases[:-1], thePhases)
]
# check for overlapping phases
assert builtins.all(o >= 0 for o in origOffsets)
phaseLengths = [
monthsDifference(ph.end_date + datetime.timedelta(days=1),
ph.start_date) for ph in thePhases
]
if phaseId is None:
# act on the project, so change all phases
offsetMax = timelineLength - sum(phaseLengths)
possibleOffsets = list(
offset_generator(offsetMax, len(phaseLengths)))
else:
# act on one phase, so change the offset before and after
phaseIdx = next(i for i, ph in enumerate(thePhases)
if ph.id == phaseId)
ooList = origOffsets + [
timelineLength - sum(phaseLengths) - sum(origOffsets)
]
possibleOffsets = []
for o in range(-ooList[phaseIdx], ooList[phaseIdx + 1] + 1):
newOffset = ooList[:] # copy
newOffset[phaseIdx] += o
newOffset[phaseIdx + 1] -= o
possibleOffsets.append(tuple(newOffset[:-1]))
return origOffsets, possibleOffsets
def test_pretty_format():
try:
from lesson import pretty_format
except ImportError:
_import_error('pretty_format')
return False
args_and_expected = {
'': 'No data found!',
' 23l4km2l3k4234': '23l4km2l3k4234',
'a': 'a'
}
return all([v == pretty_format(k) for k, v in args_and_expected.items()])
def _set_mark(self, mark, toggle=False, all=False):
if toggle:
focused = self.focused_widget
if focused is not None:
mark = not focused.is_marked
def get_widget(pos):
return self._listbox.body[pos]
def mark_leaves(pos, mark):
get_widget(pos).is_marked = mark
for subpos,widget in self.all_children(pos):
if widget.nodetype == 'leaf':
widget.is_marked = mark
if mark:
self._marked.add(widget)
else:
self._marked.discard(widget)
elif widget.nodetype == 'parent':
if pos != subpos: # Avoid infinite recursion
mark_leaves(subpos, mark)
if all:
# Top ancestor node positions are (0,), (1,), (3,) etc
for pos in self._filetree.positions():
if len(pos) == 1:
mark_leaves(pos, mark)
else:
mark_leaves(self._listbox.focus_position, mark)
assert builtins.all(m.nodetype == 'leaf' for m in self._marked)
# A parent node is marked only if all its children are marked. To check
# that, we walk through every ancestor up to the top and check all its
# children. There is no need to check the children of other parent
# nodes (uncles, great uncles, etc) because they should already be
# marked properly from previous runs.
def all_children_marked(pos):
marked = True
childpos = self._filetree.first_child_position(pos)
while childpos is not None:
marked = marked and get_widget(childpos).is_marked
childpos = self._filetree.next_sibling_position(childpos)
return marked
parpos = self._filetree.parent_position(self._listbox.focus_position)
while parpos is not None:
parwidget = get_widget(parpos)
parwidget.is_marked = all_children_marked(parpos)
parpos = self._filetree.parent_position(parpos)
async def all(itr: AnyIterable[MaybeAwaitable[Any]]) -> bool:
"""
Return True if all values are truthy in a mixed iterable, else False.
The iterable will be fully consumed and any awaitables will
automatically be awaited.
Example:
if await all(it):
...
"""
return builtins.all(await ait_asyncio.gather_iter(itr))
def test_sort_chars():
try:
from lesson import sort_chars
except ImportError:
_import_error('sort_chars')
return False
args_and_expected = {
'': '',
'a;lsidjf;asd': ';;aaddfijlss',
'23l4km2l3k4234': '222333444kkllm',
'a': 'a'
}
return all([v == sort_chars(k) for k, v in args_and_expected.items()])
def assign(values, s, d):
"""Eliminate all the other values (except d) from values[s] and propagate.
Return values, except return False if a contradiction is detected.
"""
"""heuristic:
(1) If a square has only one possible value, then eliminate that value from the square's peers.
(2) If a unit has only one possible place for a value, then put the value there.
"""
other_values = values[s].replace(d, '')
if all(eliminate(values, s, d2) for d2 in other_values):
return values
else:
return False
def test_char_count():
try:
from lesson import char_count
except ImportError:
_import_error('char_count')
return False
args_and_expected = {
('', 'x'): 0,
('23l4km2l3k4234', '2'): 3,
('a', 'a'): 1,
('thbjgk', 'a'): 0
}
return all([v == char_count(*k) for k, v in args_and_expected.items()])
def test_dobby_search():
try:
from lesson import dobby_search
except ImportError:
_import_error('dobby_search')
return False
args_and_expected = {
'': 'Dobby',
'abcdef': 'd',
'23l4krm2l3k4234': '3',
'a': 'Dobby'
}
return all([dobby_search(k) for k, v in args_and_expected.items()])
def get_paretoFront(resultSpace):
# collect all tuples of result space, which are at the Pareto Frontier
paretoFront = []
for r in resultSpace:
if builtins.all(
(not isParetoDominant(rr, r)) for rr in resultSpace if rr != r):
paretoFront.append(r)
# successfulParameters = [k for k, v in changedChoiceMap.items()
# if v in paretoFront]
return paretoFront
def search(values):
if values is False:
return False
if all(len(values[s]) == 1 for s in squares):
return values # Solved
n, s = min((len(values[s]), s) for s in squares if len(values[s]) > 1)
for d in values[s]:
result = search(assign(values.copy(), s, d))
if result:
return result
return False
def __setitem__(self, idx, val):
if not isinstance(idx, (int, slice)):
raise TypeError('only integers and slices are valid indices')
elif isinstance(idx, int):
if not isinstance(val, numbers.Number):
raise TypeError('value argument is not a number')
self.data[idx] = val
else:
if isinstance(val, Sequence):
if not builtins.all(isinstance(v, numbers.Number) for v in val):
raise ValueError('value argument contains an element that is not a number')
if len(self.data[idx]) != len(val):
raise ValueError("number of indices doesn't match the number of values")
self.data[idx] = val
elif isinstance(val, numbers.Number):
self.data[idx] = [val] * len(range(*idx.indices(self.dim)))
else:
raise TypeError('value argument is not a sequence or a number')
def __init__(self, a, unique_keys, sort_by, iter_with=None):
self.a = a
self.sort_by = sort_by
self.a_sorter = np.argsort(self.sort_by)
unique_keys_sorter = np.argsort(unique_keys)
self.sorted_unique_keys = unique_keys[unique_keys_sorter]
self.unique_keys_unsorter = np.argsort(unique_keys_sorter)
edges_matched_in_sorted_a = np.append(
np.searchsorted(self.sort_by,
self.sorted_unique_keys,
sorter=self.a_sorter), a.size)
self.left_edges_matched_in_sorted_a = edges_matched_in_sorted_a[:-1]
self.right_edges_matched_in_sorted_a = edges_matched_in_sorted_a[1:]
self.iter_with = iter_with
if iter_with is not None:
assert builtins.all(len(item) == len(a) for item in iter_with)
def __init__(self,
url_builder,
consumer_key=None,
consumer_secret=None,
access_token_key=None,
access_token_secret=None,
base_url=None):
if not all([
access_token_key, access_token_secret, consumer_key,
consumer_secret
]):
raise AssertionError
self._url_builder = url_builder(base_url
or 'https://api.twitter.com/1.1')
self._auth = OAuth1(consumer_key, consumer_secret, access_token_key,
access_token_secret)
self._session = requests.Session()
def prepare(*fields, elemwise=True, **kwargs):
"""
Prepares a set of fields for a calculation and
creates the field where to store the output.
Returns:
--------
raw_fields, out_field
where raw_fields is a tuple of the raw fields (e.g. field.field)
to be used in the calculation and out_field is a Field type where
to store the result (e.g. out_field.field = add(*raw_fields))
Parameters
----------
fields: Field(s)
List of fields involved in the calculation.
elemwise: bool
Wether the calculation is performed element-wise,
i.e. all the fields must have the common axes in the same order
and the other axes with shape 1.
kwargs: dict
List of parameters to use for the creation of the new field
"""
from .field import Field
from builtins import all
assert all([isinstance(field, Field) for field in fields])
kwargs["zeros_init"] = True
raw_fields = tuple(field.field for field in fields)
if len(fields)==1:
return raw_fields, Field(fields[0], **kwargs)
# TODO
# - should compute the final dtype if not given
# - should reshape the fields in case of element-wise operation
# - should take into account coords
return raw_fields, Field(fields[0], **kwargs)
def check(self, value):
return builtins.all([hasattr(value, attr) for attr in self._attrs])
def all(*args):
return builtins.all(args)
def cmp_all(val, *tests):
return builtins.all([val == test for test in tests])
def all(function_or_iterable, *args): if len(args) == 0: return builtins.all(function_or_iterable) else: return builtins.all(map(function_or_iterable, args[0]))
def all(iterable, pred):
"Returns True if ALL elements in the given iterable are true for the given pred function"
return builtins.all(pred(x) for x in iterable)