def _apply_general(self, term):
out = []
if type(term) == Term and term.op in self.over_ops:
for dist_op in self.dist_ops:
ct = {}
for i in range(len(term.terms)):
subterm = term.terms[i]
if type(subterm) == Term and subterm.op == dist_op:
for subsubterm in subterm.terms:
if subsubterm not in ct:
ct[subsubterm] = []
if i not in ct[subsubterm]:
ct[subsubterm].append(i)
for r_term in ct.keys():
if len(ct[r_term]) > 1:
paired_terms = []
other_terms = []
for i in range(len(term.terms)):
if i in ct[r_term]:
p_term = term.terms[i].__deepcopy__()
p_term.terms.remove(r_term)
if len(p_term.terms) == 1:
p_term = p_term.terms[0]
paired_terms.append(p_term)
else:
other_terms.append(
term.terms[i].__deepcopy__())
t_term = Term(
dist_op,
[r_term, Term(term.op, paired_terms)])
if other_terms:
out.append(Term(term.op, [t_term] + other_terms))
else:
out.append(t_term)
return out + self.recurse_apply(term)
def unflatten(term):
if type(term) == Term and term.op in assoc_ops and len(
term.terms) > 2: #term.flattened
return Term(term.op, [
unflatten(term.terms[0].__deepcopy__()),
unflatten(Term(term.op, term.terms[1:]))
])
if type(term) == Term:
# recurse
return Term(term.op, [unflatten(subterm) for subterm in term.terms])
return term.__deepcopy__()
def all_unflatten(term): # modulo state vars
out = []
if type(term) == Term:
if term.op not in assoc_ops:
for prod in product(
*[all_unflatten(subterm) for subterm in term.terms]):
out.append(Term(term.op, prod))
return out
state_terms, raw_terms = [], []
for i in range(len(term.terms)):
if not term.terms[i].state_free():
state_terms.append(term.terms[i].__deepcopy__())
else:
raw_terms.append(term.terms[i].__deepcopy__())
for state_prod in product(
*[all_unflatten(state_term) for state_term in state_terms]):
state_prod = list(state_prod)
if len(raw_terms) < 2:
return [Term(term.op, state_prod + raw_terms)]
if len(raw_terms) == 2:
for left_unflatten in all_unflatten(raw_terms[0]):
for right_unflatten in all_unflatten(raw_terms[1]):
if state_prod:
out.append(
Term(
term.op, state_prod + [
Term(term.op,
[left_unflatten, right_unflatten])
]))
else:
out.append(
Term(term.op,
[left_unflatten, right_unflatten]))
else:
for perm in set(
permutations(raw_terms)
): # TODO: identify permutations with same last two terms
for left_unflatten in all_unflatten(perm[0]):
for right_unflatten in all_unflatten(
Term(term.op, perm[1:])):
if state_prod:
out.append(
Term(
term.op, state_prod + [
Term(term.op, [
left_unflatten, right_unflatten
])
]))
else:
out.append(
Term(term.op,
[left_unflatten, right_unflatten]))
return out
return [term.__deepcopy__()]
def apply(self, term):
if self.over_term_inds is None:
return self._apply_general(term)
out = []
if type(term) == Term and term.op in self.over_ops:
for dist_op in self.dist_ops:
dist = True
comm_terms = None
for i in self.over_term_inds:
subterm = term.terms[i]
if type(subterm) == Term and subterm.op == dist_op:
if comm_terms == None:
comm_terms = set(subterm.terms)
else:
comm_terms.intersection_update(set(subterm.terms))
else:
dist = False
break
if dist:
for comm_term in comm_terms:
p_term = term.__deepcopy__()
for i in self.over_term_inds:
p_term.terms[i].terms.remove(comm_term)
if len(p_term.terms[i].terms) == 1:
p_term.terms[i] = p_term.terms[i].terms[0]
out.append(Term(dist_op, [comm_term, p_term]))
return out + self.recurse_apply(term)
def define(name, expr):
"""
Take an expression of 't' (possibly complicated)
and make it a '%s(t)' % name, such that
when it evaluates it has the right values.
Parameters
----------
expr : sympy expression, with only 't' as a Symbol
name : str
Returns
-------
nexpr: sympy expression
Examples
--------
>>> t = Term('t')
>>> expr = t**2 + 3*t
>>> print expr
3*t + t**2
>>> newexpr = define('f', expr)
>>> print newexpr
f(t)
>>> import aliased
>>> f = aliased.lambdify(t, newexpr)
>>> f(4)
28
>>> 3*4+4**2
28
"""
v = vectorize(expr)
return aliased_function(name, v)(Term('t'))
def apply(self, term):
out = []
if type(term) == Term and term.op in self.dist_ops:
for over_op in self.over_ops:
term_inds = []
other_terms = []
for i in range(len(term.terms)):
if type(term.terms[i]
) == Term and term.terms[i].op == over_op:
term_inds.append(i)
else:
other_terms.append(term.terms[i])
for i in term_inds:
for other_term in other_terms:
new_term = term.__deepcopy__()
for j in range(len(new_term.terms[i].terms)):
if self.over_term_inds is None or j in self.over_term_inds:
if type(new_term.terms[i].terms[j]) == Term and \
new_term.terms[i].terms[j].op == term.op:
new_term.terms[i].terms[j].terms.append(
other_term.__deepcopy__())
else:
new_term.terms[i].terms[j] = \
Term(term.op, [other_term.__deepcopy__(),
new_term.terms[i].terms[j]])
new_term.terms.remove(other_term)
if len(new_term.terms) == 1:
new_term = new_term.terms[0]
out.append(new_term)
return out + self.recurse_apply(term)
def test_returns_object_terms_with_one_field_if_string_with_only_constant_passed(
self):
#ARRANGE
term_string = '2'
#ACT
first = Term(term_string)
#ASSERT
self.assertEqual(first.constant, 2)
def recurse_apply(self, term):
if type(term) != Term:
return []
out = []
for i in range(len(term.terms)):
for rew in self.apply(term.terms[i]):
new_terms = [subterm.__deepcopy__() for subterm in term.terms]
new_terms[i] = rew
out.append(Term(term.op, new_terms))
return out
def collect_terms(path, filename):
terms = []
if os.path.exists(path + filename):
f = open(path + filename)
for line in f:
words = [x.strip() for x in line.split("\t")]
words = [x for x in words if len(x) > 0]
if len(words) >= 2:
fro = words[0].strip()
types = [t for t in words[1].strip()]
term = Term(fro, types)
if len(words) >= 3:
term.to = words[2].strip()
terms.append(term)
f.close()
return terms
def test_returns_object_terms_with_two_fields_if_string_with_x_on_power_passed(
self):
#ARRANGE
term_string = '2x^3'
#ACT
first = Term(term_string)
#ASSERT
self.assertEqual(first.constant, 2)
self.assertEqual(first.power, 3)
def extract_terms(self):
definitions = self.tree.findall('.//{eregs}def')
self.terms = []
for defn in definitions:
defined_in = defn.find('../..').get('label')
term = defn.get('term')
self.terms.append(Term(term, defined_in))
self.terms.sort(key=lambda x: x.term)
def apply(self, term):
out = []
if term == self.greater_term:
out.append(
Term('max', [
self.greater_term.__deepcopy__(),
self.lesser_term.__deepcopy__()
]))
if type(term) == Term and term.op == 'max':
if self.greater_term in term.terms and self.lesser_term not in term.terms:
new_term = term.__deepcopy__()
new_term.terms.append(self.lesser_term.__deepcopy__())
out.append(new_term)
return out + self.recurse_apply(term)
def apply(self, term):
out = []
if type(term) == Var or type(term) == Const:
if self.target_var and term != self.target_var:
return []
if term.type != term_types[self.op].get_ret_type(
): # TODO: be careful here and elsewhere
return []
out.append(Term(self.op, [term.__deepcopy__(), self.id]))
if type(term) == Term and term.op == self.op:
if self.target_var is None or self.target_var in term.terms:
new_term = term.__deepcopy__()
new_term.terms.append(self.id)
out.append(new_term)
return out + self.recurse_apply(term)
def flatten(term):
if type(term) == Const:
return Const(term.value)
elif type(term) == Var:
return Var(term.vclass, term.name, term.index, term.type)
else:
new_terms = []
for subterm in term.terms:
if type(
subterm
) == Term and subterm.op in assoc_ops and subterm.op == term.op:
new_terms.extend(flatten(subterm).terms)
else:
new_terms.append(flatten(subterm))
return Term(term.op, new_terms)
def apply(self, term):
out = []
if term == self.id:
for var in self.vars:
out.append(
Term(self.op, [var.__deepcopy__(),
self.inv_func(var)]))
if type(term) == Term and term.op == self.op:
if self.id in term.terms:
for var in self.vars:
new_term = term.__deepcopy__()
new_term.terms.remove(self.id)
new_term.terms.append(var.__deepcopy__())
new_term.terms.append(self.inv_func(var))
out.append(new_term)
return out + self.recurse_apply(term)
def apply(self, term):
out = []
if type(term) == Var or type(term) == Const:
if term.type != term_types[self.op].get_ret_type():
return []
out.append(
Term(self.op, [term.__deepcopy__(),
term.__deepcopy__()]))
if type(term) == Term and term.op == self.op:
for subterm in set(term.terms):
if type(subterm) == Var or type(
subterm) == Const: # remember to remove this condition
new_term = term.__deepcopy__()
new_term.terms.append(subterm)
out.append(new_term)
return out + self.recurse_apply(term)
def merge(loop, op, joins):
new_loop = loop.__deepcopy__()
new_terms = []
for i in range(len(joins)):
new_term = joins[i].term.__deepcopy__()
r = 0
reindex = []
for j in range(joins[i].loop.get_num_states()):
r = new_loop.add_state(joins[i].loop.state_init[j],
joins[i].loop.state_terms[j], j)
reindex.append(r)
for j in reversed(range(len(reindex))):
r = reindex[j]
new_term = new_term.reindex(Var("SV", "s", j+1), r+1).\
reindex(Var("RSV", "s", j+1), r+1)
new_terms.append(new_term)
return Join(new_loop, Term(op, new_terms))
def terms_from_rec(rec, keep=[], drop=[]):
""" Construct terms from recarray
For fields with a string-dtype, it is assumed that these are
qualtiatitve regressors, i.e. Factors.
Parameters
----------
rec: recarray
Recarray whose field names will be used to create a formula.
keep: []
Field names to explicitly keep, dropping all others.
drop: []
Field names to drop.
"""
spec = {}
for n in rec.dtype.names:
if rec[n].dtype.kind == 'S':
spec[n] = Factor.fromcol(rec[n], n)
else:
spec[n] = Term(n).formula
for d in drop:
del (spec[d])
return spec
def get_term_obj_list_from_database(self, list_id):
master_list = vocabulary_list.objects.get(title = self.title, id = list_id)
vocabs = vocabulary.objects.filter(master_list = master_list ).order_by('vocabulary')
term_obj_list = []
for vocab in vocabs:
term = Term(vocab.vocabulary, vocab.definition)
# add extra definition
defis = vocabulary_extra_definition.objects.filter(master_vocabulary=vocab).order_by('extra_def')
for defi in defis:
term.add_definitions(defi)
# add synonyms
syns = vocabulary_synonyms.objects.filter(master_vocabulary=vocab).order_by('synonyms')
for syn in syns:
term.add_synonym(syn)
# add example sentences
exps = vocabulary_example_sentence.objects.filter(master_vocabulary=vocab).order_by('example_sentences')
for exp in exps:
term.add_example(exp)
term_obj_list.append(term)
return term_obj_list
def __init__(self, arguments_as_string):
arguments_as_string_as_parts = parse_string_to_list_of_terms(
arguments_as_string)
self.terms = [Term(x) for x in arguments_as_string_as_parts]
from os import path
from random import randint, choice, seed
from terms import Term
T = Term()
def get_bot_data():
import json
data = {}
with open(path.join('res', 'config.json'),"r") as f:
data = json.loads(f.read())
return data[T.b_token], data[T.b_owner], data[T.b_prefix], data[T.b_seed]
def clamp(n, minv, maxv):
return max(min(maxv, n), minv)
def get_index(x, y, w):
return y * w + x
def coords(x, y):
return '{}-{}'.format(x, y)
def get_drops(m):
data = {}
choices = []
count = 0
for drop in T.drops[m]:
def parseEntry(tag):
"""Given the first <td> in the row containing a term and a definition,
parse out the term, the definition, and the various optional attributes
(synonyms, sources, see alsos, etc.) from the definition."""
# parse out the term name. Check for abbreviations
term_name = tag.a.text.strip()
term_name, abbreviation = parseNameForAbbrev(term_name)
if abbreviation is not None:
abbreviation = [abbreviation]
# start parsing (possibly multiple) definitions
description = tag.next_sibling
definition_tag = description.li
def_list = []
see_also_list = []
synonym_list = []
source_text = None
source_link = None
while definition_tag is not None:
# Get the definition text. We don't want recursion because that will
# eat up the subordinant list full of "extras", parsed out below.
definition = definition_tag.find(text=True, recursive=False)
# Sometimes (rarely) the definition is encapsulated by a <p> Tag.
if definition is None and definition_tag.p is not None:
definition = definition_tag.p.find(text=True, recursive=False)
# Sometimes (rarely) the definition is encapsulated by an <i> Tag.
if definition is None and definition_tag.i is not None:
definition = definition_tag.i.find(text=True, recursive=False)
see_also = []
synonym = []
# check to see if the description contains a Source
desc_html = str(description)
pos = desc_html.rfind('Source:')
if pos != -1:
# If there's a source, remove the "source" bits from the description
source_text = desc_html[pos:]
source_soup = BeautifulSoup(source_text, 'html.parser')
source_text = source_soup.text[7:].strip()
# if there's a subordinate ul element (see also or synonyms)
# then get rid of it out of the source text.
other_stuff = definition_tag.ul
if other_stuff is not None:
source_text = source_text[:-(len(other_stuff.text) + 1)]
if source_soup.a is not None:
source_link = source_soup.a['href']
#chop out the source bits
dpos = definition.rfind('Source')
definition = definition[:dpos]
# check to see if there's "more"
extras = definition_tag.li
while extras is not None:
# references flagged with "see also" sometimes "See Also" sometimes "See also"
see_also_pos = extras.text.lower().find('see also')
if see_also_pos != -1:
see_also_text = extras.text[9:].strip()
see_also_terms = [
generateKey(s.strip()) for s in see_also_text.split(';')
]
see_also = see_also + see_also_terms
else:
# references flagged with "See"
see_also_pos = extras.text.find('See')
if see_also_pos != -1:
see_also_text = extras.text[3:].strip()
see_also_terms = [
generateKey(s.strip())
for s in see_also_text.split(';')
]
see_also = see_also + see_also_terms
synonym_pos = extras.text.find('synonym')
if synonym_pos != -1:
synonym.append(generateKey(extras.text[9:].strip()))
extension_pos = extras.text.find('Definition Extension')
if extension_pos != -1:
definition = definition + " " + extras.text.strip()
extras = extras.next_sibling
# accumulate the "features" of this definition into the term's properties
if definition is not None:
def_list.append(definition.strip())
else:
print "%s lacks a definition..." % term_name
synonym_list = synonym_list + synonym
see_also_list = see_also_list + see_also
definition_tag = definition_tag.next_sibling
# If we don't have any of these things, set them to None
if not see_also_list:
see_also_list = None
if not synonym_list:
synonym_list = None
return Term(generateKey(term_name),
term_name,
def_list,
see_also_list,
synonym_list,
source_text=source_text,
source_link=source_link,
abbrev=abbreviation)