sequence stringlengths 1.19k 35k | code stringlengths 75 8.58k |
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{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sortby'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'... | def sortby(self, ntd):
if 'reldepth' in self.grprobj.gosubdag.prt_attr['flds']:
return [ntd.NS, -1*ntd.dcnt, ntd.reldepth]
else:
return [ntd.NS, -1*ntd.dcnt, ntd.depth] |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_nts_sorted'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'identifier', 'children': [... | def get_nts_sorted(self, hdrgo_prt, hdrgos, hdrgo_sort):
nts_flat = []
self.get_sorted_hdrgo2usrgos(hdrgos, nts_flat, hdrgo_prt, hdrgo_sort)
return nts_flat |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '15']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_sorted_hdrgo2usrgos'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12']}; {'id': '4', 'type': 'identifier... | def get_sorted_hdrgo2usrgos(self, hdrgos, flat_list=None, hdrgo_prt=True, hdrgo_sort=True):
sorted_hdrgos_usrgos = []
h2u_get = self.grprobj.hdrgo2usrgos.get
hdr_go2nt = self._get_go2nt(hdrgos)
if hdrgo_sort is True:
hdr_go2nt = sorted(hdr_go2nt.items(), key=lambda t: self.hd... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_init_hdrgo_sortby'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': []... | def _init_hdrgo_sortby(self, hdrgo_sortby, sortby):
if hdrgo_sortby is not None:
return hdrgo_sortby
if sortby is not None:
return sortby
return self.sortby |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_sortgo'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'... | def _get_sortgo(self):
if 'sortgo' in self.datobj.kws:
return self.datobj.kws['sortgo']
return self.datobj.grprdflt.gosubdag.prt_attr['sort'] + "\n" |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_sorted_section'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'v... | def _get_sorted_section(self, nts_section):
if self.section_sortby is True:
return sorted(nts_section, key=lambda nt: self.sortgos.usrgo_sortby(nt))
if self.section_sortby is False or self.section_sortby is None:
return nts_section
return sorted(nts_section, key=lambda nt... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_sections_2dnt'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | def get_sections_2dnt(self, sec2d_go):
return [(nm, self.get_ntgos_sorted(gos)) for nm, gos in sec2d_go] |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_ntgos_sorted'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'valu... | def get_ntgos_sorted(self, hdrgos):
go2nt = self.grprobj.go2nt
return sorted([go2nt[go] for go in hdrgos if go in go2nt], key=self.fncsortnt) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_sortobj'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'valu... | def get_sortobj(self, goea_results, **kws):
nts_goea = MgrNtGOEAs(goea_results).get_goea_nts_prt(**kws)
goids = set(nt.GO for nt in nts_goea)
go2nt = {nt.GO:nt for nt in nts_goea}
grprobj = Grouper("GOEA", goids, self.hdrobj, self.grprdflt.gosubdag, go2nt=go2nt)
grprobj.prt_summa... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_sorted_relationships'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': ... | def _get_sorted_relationships(self, goterm):
if goterm.id in self.goids_seen:
return
self.goids_seen.add(goterm.id)
for goterm_upper in goterm.get_goterms_upper():
self._get_sorted_relationships(goterm_upper)
self.goterms_sorted.append(goterm) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'write_dag'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's... | def write_dag(self, out=sys.stdout):
for rec in sorted(self.values()):
print(rec, file=out) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_nts'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':... | def sort_nts(self, nt_list, codekey):
sortby = lambda nt: self.ev2idx.get(getattr(nt, codekey), -1)
return sorted(nt_list, key=sortby) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '12']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'prt_gos'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '10']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | def prt_gos(self, prt=sys.stdout, **kws_usr):
desc2nts = self.get_desc2nts(**kws_usr)
self.prt_nts(desc2nts, prt, kws_usr.get('prtfmt'))
return desc2nts |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '11']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_nts_flat'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8']}; {'id': '4', 'type': 'identifier', 'children': [], 'va... | def get_nts_flat(self, hdrgo_prt=True, use_sections=True):
if self.sectobj is None or not use_sections:
return self.sortgos.get_nts_sorted(
hdrgo_prt,
hdrgos=self.grprobj.get_hdrgos(),
hdrgo_sort=True)
if not use_sections:
return se... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_adjust_prt_flds'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'identifier', 'children':... | def _adjust_prt_flds(self, kws_xlsx, desc2nts, shade_hdrgos):
if "prt_flds" in kws_xlsx:
return kws_xlsx["prt_flds"]
dont_print = set(['hdr_idx', 'is_hdrgo', 'is_usrgo'])
prt_flds_adjusted = []
nt_flds = self.sortobj.get_fields(desc2nts)
for nt_fld in nt_flds:
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_shade_hdrgos'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'dictionary_splat_pattern', 'children':... | def _get_shade_hdrgos(**kws):
if 'shade_hdrgos' in kws:
return kws['shade_hdrgos']
if 'hdrgo_prt' in kws:
return kws['hdrgo_prt']
if 'section_sortby' in kws and kws['section_sortby']:
return False
if 'top_n' in kws and isinstance(kws['top_n'], int):
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'dflt_sortby_objgoea'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | def dflt_sortby_objgoea(goea_res):
return [getattr(goea_res, 'enrichment'),
getattr(goea_res, 'namespace'),
getattr(goea_res, 'p_uncorrected'),
getattr(goea_res, 'depth'),
getattr(goea_res, 'GO')] |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'dflt_sortby_ntgoea'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':... | def dflt_sortby_ntgoea(ntgoea):
return [ntgoea.enrichment,
ntgoea.namespace,
ntgoea.p_uncorrected,
ntgoea.depth,
ntgoea.GO] |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '18']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '9', '12', '15']}; {'id': '4', 'type': 'identifier', 'children': [],... | def sort(x, axis=-1, reverse=False, with_index=False, only_index=False):
from .function_bases import sort as sort_base
n_outputs = 2 if with_index and not only_index else 1
return sort_base(x, axis, reverse, with_index, only_index, n_outputs) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'optimize'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}, ... | def optimize(self):
with open(LIBRARIES_FILE, 'r') as f:
libs_data = json.load(f)
for alg, libs_names in libs_data.items():
libs = self.get_libs(alg)
if not libs:
continue
self.libs[alg] = [lib for lib in libs if [lib.module_name, lib.func_... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '4']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_common_members'}, {'id': '3', 'type': 'parameters', 'children': []}; {'id': '4', 'type': 'block', 'children': ['5', '11', '15', '... | def sort_common_members():
filename = PREFIX + '/common_members.json'
sorted_json_data = {}
json_data = read_json(filename)
all_keys = []
for key, value in json_data.items():
all_keys.append(key)
sorted_keys = sorted(all_keys)
for key in sorted_keys:
if len(json_data[key]) > ... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_ConstructPartitions'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': ... | def _ConstructPartitions(self, collection_links, partitions_per_node):
collections_node_count = len(collection_links)
partitions = [partition._Partition() for _ in xrange(0, partitions_per_node * collections_node_count)]
index = 0
for collection_node in collection_links:
hash... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'parse_leap_seconds'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':... | def parse_leap_seconds(fileobj):
lines = iter(fileobj)
for line in lines:
if line.startswith(b'
break
else:
raise ValueError('Leap_Second.dat is missing its expiration date')
line = line.decode('ascii')
with _lock:
original_locale = locale.setlocale(locale.LC_ALL)... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'build_delta_t_table'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | def build_delta_t_table(delta_t_recent):
ancient = load_bundled_npy('morrison_stephenson_deltat.npy')
historic = load_bundled_npy('historic_deltat.npy')
historic_start_time = historic[0,0]
i = searchsorted(ancient[0], historic_start_time)
bundled = concatenate([ancient[:,:i], historic], axis=1)
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '55']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'plot_confusion_matrix_with_cv'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '10', '13', '16', '19', '22', '25... | def plot_confusion_matrix_with_cv(clf, X, y, labels=None, true_labels=None,
pred_labels=None, title=None,
normalize=False, hide_zeros=False,
x_tick_rotation=0, do_cv=True, cv=None,
shu... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '42']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'plot_confusion_matrix'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12', '15', '18', '21', '24', '27', '30',... | def plot_confusion_matrix(y_true, y_pred, labels=None, true_labels=None,
pred_labels=None, title=None, normalize=False,
hide_zeros=False, x_tick_rotation=0, ax=None,
figsize=None, cmap='Blues', title_fontsize="large",
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sorting'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}, {... | def sorting(self):
if self.qs.get('sort'):
sorting_results = []
for sort_field in self.qs['sort'].split(','):
field = sort_field.replace('-', '')
if field not in self.schema._declared_fields:
raise InvalidSort("{} has no attribute {}".f... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'filter_query'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'identifier', 'children': [],... | def filter_query(self, query, filter_info, model):
if filter_info:
filters = create_filters(model, filter_info, self.resource)
query = query.filter(*filters)
return query |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_query'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | def sort_query(self, query, sort_info):
for sort_opt in sort_info:
field = sort_opt['field']
if not hasattr(self.model, field):
raise InvalidSort("{} has no attribute {}".format(self.model.__name__, field))
query = query.order_by(getattr(getattr(self.model, fi... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5', '25']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_log_entries'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | def _get_log_entries(self) -> List[Tuple[int, bytes, List[int], bytes]]:
if self.is_error:
return []
else:
return sorted(itertools.chain(
self._log_entries,
*(child._get_log_entries() for child in self.children)
)) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '14']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_by_size'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11']}; {'id': '4', 'type': 'identifier', 'children': [... | def sort_by_size(self, group_limit=None, discard_others=False,
others_label='others'):
self.groups = OrderedDict(sorted(six.iteritems(self.groups),
key=lambda x: len(x[1]),
reverse=True))
if group_limi... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_comments'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | def get_comments(self, resource, before=None):
params = dict(apikey=self.api_key, resource=resource, before=before)
try:
response = requests.get(self.base + 'comments/get', params=params, proxies=self.proxies)
except requests.RequestException as e:
return dict(error=e.mes... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'clean_fail'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'func'}... | def clean_fail(func):
'''
A decorator to cleanly exit on a failed call to AWS.
catch a `botocore.exceptions.ClientError` raised from an action.
This sort of error is raised if you are targeting a region that
isn't set up (see, `credstash setup`.
'''
def func_wrapper(*args, **kwargs):
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'parse_header'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': ... | def parse_header(cls, value='*/*'):
yield from sorted((
cls.from_string(token.strip())
for token in value.split(',')
if token.strip()
), reverse=True) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_canonical'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | def sort_canonical(keyword, stmts):
try:
(_arg_type, subspec) = stmt_map[keyword]
except KeyError:
return stmts
res = []
keep = [s[0] for s in data_def_stmts] + ['case']
for (kw, _spec) in flatten_spec(subspec):
comments = []
for s in stmts:
if s.keyword =... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '30']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12', '15', '18', '21', '24', '27']}; {'id': '4', 'type': ... | def sort(self, key, start=None, num=None, by=None, get=None,
desc=False, alpha=False, store=None, groups=False):
'''Sort and return the list, set or sorted set at ``key``.
``start`` and ``num`` allow for paging through the sorted data
``by`` allows using an external key to weight an... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_url_filemeta'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | def get_url_filemeta(url):
parsed_url = try_parse_url(url)
if parsed_url is None:
return None
if parsed_url.scheme.startswith('ftp'):
return get_ftp_filemeta(parsed_url)
url = parsed_url.geturl()
try:
r = requests.get(url, stream=True, allow_redirects=True, timeout=5)
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '59']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'offline_plotly_scatter_bubble'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14', '17', '20', '23', '26', '3... | def offline_plotly_scatter_bubble(df, x='x', y='y', size_col='size', text_col='text',
category_col='category', possible_categories=None,
filename=None,
config={'displaylogo': False},
x... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '14']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_acronyms'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'default_parameter', 'children': ['5', '6']... | def get_acronyms(manuscript=os.path.expanduser('~/code/nlpia/lane/manuscript')):
acronyms = []
for f, lines in get_lines(manuscript):
for line in lines:
matches = CRE_ACRONYM.finditer(line)
if matches:
for m in matches:
if m.group('a2'):
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_find'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}... | async def _find(self, rpcmethod):
log.info("crawling network with nearest: %s", str(tuple(self.nearest)))
count = self.alpha
if self.nearest.get_ids() == self.last_ids_crawled:
count = len(self.nearest)
self.last_ids_crawled = self.nearest.get_ids()
dicts = {}
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5', '21']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'match_key'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's... | def match_key(self) -> Tuple[bool, bool, int, List[WeightedPart]]:
if self.map is None:
raise RuntimeError(f"{self!r} is not bound to a Map")
complex_rule = any(weight.converter for weight in self._weights)
return (not bool(self.defaults), complex_rule, -len(self._weights), self._wei... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5', '13']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'build_key'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's... | def build_key(self) -> Tuple[bool, int]:
if self.map is None:
raise RuntimeError(f"{self!r} is not bound to a Map")
return (not bool(self.defaults), -sum(1 for weight in self._weights if weight.converter)) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'load_ui_file'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'name... | def load_ui_file(name):
ui = gtk.Builder()
ui.add_from_file(os.path.join(runtime.data_dir, name))
return ui |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '__remove_category'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | def __remove_category(self, id):
affected_query =
affected_ids = [res[0] for res in self.fetchall(affected_query, (id,))]
update = "update activities set category_id = -1 where category_id = ?"
self.execute(update, (id, ))
self.execute("delete from categories where id = ?", (id, ... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_sort'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}, {'i... | def _sort(self):
self.__dict__['_z_ordered_sprites'] = sorted(self.sprites, key=lambda sprite:sprite.z_order) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_mouse_cursor'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': ... | def _get_mouse_cursor(self):
if self.mouse_cursor is not None:
return self.mouse_cursor
elif self.interactive and self.draggable:
return gdk.CursorType.FLEUR
elif self.interactive:
return gdk.CursorType.HAND2 |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'entries'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}, {... | def entries(self):
self.log(u"Getting entries")
if not self.exists():
self.log_exc(u"This container does not exist. Wrong path?", None, True, TypeError)
if self.actual_container is None:
self.log_exc(u"The actual container object has not been set", None, True, TypeError)
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}, {'id... | def sort(self):
if self.is_guaranteed_sorted:
self.log(u"Already sorted, returning")
return
self.log(u"Sorting...")
self.__fragments = sorted(self.__fragments)
self.log(u"Sorting... done")
self.log(u"Checking relative positions...")
for i in range(... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}, {'id... | def sort(self):
if self.sorted:
return
def key(variant):
requested_key = []
names = set()
for i, request in enumerate(self.solver.request_list):
if not request.conflict:
req = variant.requires_list.get(request.name)
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_versions'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sel... | def sort_versions(self):
if self.sorted:
return
for orderer in (self.solver.package_orderers or []):
entries = orderer.reorder(self.entries, key=lambda x: x.package)
if entries is not None:
self.entries = entries
self.sorted = True
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_reset'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'... | def _reset(self, load):
values = reduce(iadd, self._lists, [])
self._clear()
self._load = load
self._half = load >> 1
self._dual = load << 1
self._update(values) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_build_index'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self... | def _build_index(self):
row0 = list(map(len, self._lists))
if len(row0) == 1:
self._index[:] = row0
self._offset = 0
return
head = iter(row0)
tail = iter(head)
row1 = list(starmap(add, zip(head, tail)))
if len(row0) & 1:
row... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_fromset'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':... | def _fromset(cls, values, key=None):
sorted_set = object.__new__(cls)
sorted_set._set = values
sorted_set.__init__(key=key)
return sorted_set |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_argsort_and_resolve_ties'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': ... | def _argsort_and_resolve_ties(time, random_state):
n_samples = len(time)
order = numpy.argsort(time, kind="mergesort")
i = 0
while i < n_samples - 1:
inext = i + 1
while inext < n_samples and time[order[i]] == time[order[inext]]:
inext += 1
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'toposort_classes'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | def toposort_classes(classes):
def get_class_topolist(class_name, name_to_class, processed_classes, current_trace):
if class_name in processed_classes:
return []
if class_name in current_trace:
raise AssertionError(
'Encountered self-reference in dependency ch... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_init_steps'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'... | def _init_steps(self,):
self._check_old_yaml_format()
config_steps = self.flow_config.steps
self._check_infinite_flows(config_steps)
steps = []
for number, step_config in config_steps.items():
specs = self._visit_step(number, step_config)
steps.extend(spec... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'ranker'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | def ranker(self, X, meta):
total_score = X.sum(axis=1).transpose()
total_score = np.squeeze(np.asarray(total_score))
ranks = total_score.argsort()
ranks = ranks[::-1]
sorted_meta = [meta[r] for r in ranks]
sorted_X = X[ranks]
return (sorted_X, sorted_meta) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'create_pickled_data'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'v... | def create_pickled_data(idevice, filename):
data = {}
for x in idevice.content:
data[x] = idevice.content[x]
location = filename
pickle_file = open(location, 'wb')
pickle.dump(data, pickle_file, protocol=pickle.HIGHEST_PROTOCOL)
pickle_file.close() |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_html_string'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | def get_html_string(self, **kwargs):
options = self._get_options(kwargs)
if options["format"]:
string = self._get_formatted_html_string(options)
else:
string = self._get_simple_html_string(options)
return string |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_last_update_time'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | def get_last_update_time(self):
'''
Gets the time at which each ledger was updated.
Can be called at any time to get this information.
:return: an ordered dict of outdated ledgers sorted by last update time (from old to new)
and then by ledger ID (in case of equal update time)
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_listChunks'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'... | def _listChunks(self):
chunks = []
for fileName in os.listdir(self.dataDir):
index = ChunkedFileStore._fileNameToChunkIndex(fileName)
if index is not None:
chunks.append(index)
return sorted(chunks) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '17']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'mostCommonElement'}, {'id': '3', 'type': 'parameters', 'children': ['4', '12']}; {'id': '4', 'type': 'typed_parameter', 'children': [... | def mostCommonElement(elements: Iterable[T], to_hashable_f: Callable=None):
class _Hashable(collections.abc.Hashable):
def __init__(self, orig):
self.orig = orig
if isinstance(orig, collections.Hashable):
self.hashable = orig
elif to_hashable_f is not None... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'minute_index_to_session_labels'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'childr... | def minute_index_to_session_labels(self, index):
if not index.is_monotonic_increasing:
raise ValueError(
"Non-ordered index passed to minute_index_to_session_labels."
)
prev_opens = (
self._opens.values.searchsorted(index.values, side='right') - 1
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'aggregate_repeated_calls'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [... | def aggregate_repeated_calls(frame, options):
'''
Converts a timeline into a time-aggregate summary.
Adds together calls along the same call stack, so that repeated calls appear as the same
frame. Removes time-linearity - frames are sorted according to total time spent.
Useful for outputs that displ... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '11']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_all_tags_names_as_list'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8']}; {'id': '4', 'type': 'identifier', 'chil... | def get_all_tags_names_as_list(self, admin=False, language="en"):
if admin:
if self._all_tags_cache_list_admin != {} and language in self._all_tags_cache_list_admin:
return self._all_tags_cache_list_admin[language]
else:
if self._all_tags_cache_list != {} and lang... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_users'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'se... | def get_users(self, course):
users = OrderedDict(sorted(list(self.user_manager.get_users_info(self.user_manager.get_course_registered_users(course)).items()),
key=lambda k: k[1][0] if k[1] is not None else ""))
return users |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'radius_cmp'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | def radius_cmp(a, b, offsets):
'''return +1 or -1 for for sorting'''
diff = radius(a, offsets) - radius(b, offsets)
if diff > 0:
return 1
if diff < 0:
return -1
return 0 |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'generate_enums_info'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'v... | def generate_enums_info(enums, msgs):
for enum in enums:
enum.swift_name = camel_case_from_underscores(enum.name)
enum.raw_value_type = get_enum_raw_type(enum, msgs)
enum.formatted_description = ""
if enum.description:
enum.description = " ".join(enum.description.split())... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'compare_report_print'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': ... | def compare_report_print(sorted_list, scores, best_name):
title_items = ["Rank", "Name", "Class-Score", "Overall-Score"]
class_scores_len = map(lambda x: len(
str(x["class"])), list(scores.values()))
shifts = ["%-" +
str(len(sorted_list) +
4) +
"s", "%-"... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'replace_cells'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'va... | def replace_cells(self, key, sorted_row_idxs):
row, col, tab = key
new_keys = {}
del_keys = []
selection = self.grid.actions.get_selection()
for __row, __col, __tab in self.grid.code_array:
if __tab == tab and \
(not selection or (__row, __col) in selec... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'OnSortAscending'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | def OnSortAscending(self, event):
try:
with undo.group(_("Sort ascending")):
self.grid.actions.sort_ascending(self.grid.actions.cursor)
statustext = _(u"Sorting complete.")
except Exception, err:
statustext = _(u"Sorting failed: {}").format(err)
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '4']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_font_list'}, {'id': '3', 'type': 'parameters', 'children': []}; {'id': '4', 'type': 'block', 'children': ['5', '13', '29', '35']},... | def get_font_list():
font_map = pangocairo.cairo_font_map_get_default()
font_list = [f.get_name() for f in font_map.list_families()]
font_list.sort()
return font_list |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_sorted_keys'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'identifier', 'children': []... | def _sorted_keys(self, keys, startkey, reverse=False):
tuple_key = lambda t: t[::-1]
if reverse:
tuple_cmp = lambda t: t[::-1] > startkey[::-1]
else:
tuple_cmp = lambda t: t[::-1] < startkey[::-1]
searchkeys = sorted(keys, key=tuple_key, reverse=reverse)
s... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'stratify'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}, ... | def stratify(self):
Y, D, X = self.raw_data['Y'], self.raw_data['D'], self.raw_data['X']
pscore = self.raw_data['pscore']
if isinstance(self.blocks, int):
blocks = split_equal_bins(pscore, self.blocks)
else:
blocks = self.blocks[:]
blocks[0] = 0
def subset(p_low, p_high):
return (p_low < pscore) &... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '43']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'list_current_orders'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14', '17', '20', '25', '28', '31', '34', ... | def list_current_orders(self, bet_ids=None, market_ids=None, order_projection=None, customer_order_refs=None,
customer_strategy_refs=None, date_range=time_range(), order_by=None, sort_dir=None,
from_record=None, record_count=None, session=None, lightweight=None):
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'visit_Module'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': ... | def visit_Module(self, node):
newbody = list()
olddef = list()
for stmt in node.body:
if isinstance(stmt, ast.FunctionDef):
olddef.append(stmt)
else:
newbody.append(stmt)
try:
newdef = topological_sort(
s... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'qzordered'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | def qzordered(A,B,crit=1.0):
"Eigenvalues bigger than crit are sorted in the top-left."
TOL = 1e-10
def select(alpha, beta):
return alpha**2>crit*beta**2
[S,T,alpha,beta,U,V] = ordqz(A,B,output='real',sort=select)
eigval = abs(numpy.diag(S)/numpy.diag(T))
return [S,T,U,V,eigval] |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '21']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'ordqz'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12', '15', '18']}; {'id': '4', 'type': 'identifier', 'ch... | def ordqz(A, B, sort='lhp', output='real', overwrite_a=False,
overwrite_b=False, check_finite=True):
import warnings
import numpy as np
from numpy import asarray_chkfinite
from scipy.linalg.misc import LinAlgError, _datacopied
from scipy.linalg.lapack import get_lapack_funcs
from scipy... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'inverse_cdf'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | def inverse_cdf(su, W):
j = 0
s = W[0]
M = su.shape[0]
A = np.empty(M, 'int')
for n in range(M):
while su[n] > s:
j += 1
s += W[j]
A[n] = j
return A |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_items'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | def sort_items(self,items,args=False):
if self.settings['sort'].lower() == 'src': return
def alpha(i):
return i.name
def permission(i):
if args:
if i.intent == 'in': return 'b'
if i.intent == 'inout': return 'c'
if i.intent == 'out': return 'd'
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}, {'id... | def sort(self):
'''
Sorts components of the object.
'''
if hasattr(self,'variables'):
sort_items(self,self.variables)
if hasattr(self,'modules'):
sort_items(self,self.modules)
if hasattr(self,'submodules'):
sort_items(self,self.submodul... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_catalogue_chronologically'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': ... | def sort_catalogue_chronologically(self):
'''
Sorts the catalogue into chronological order
'''
dec_time = self.get_decimal_time()
idx = np.argsort(dec_time)
if np.all((idx[1:] - idx[:-1]) > 0.):
return
self.select_catalogue_events(idx) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'cmp_mat'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'a'},... | def cmp_mat(a, b):
c = 0
for x, y in zip(a.flat, b.flat):
c = cmp(abs(x), abs(y))
if c != 0:
return c
return c |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_dicoms'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'dicom... | def sort_dicoms(dicoms):
dicom_input_sorted_x = sorted(dicoms, key=lambda x: (x.ImagePositionPatient[0]))
dicom_input_sorted_y = sorted(dicoms, key=lambda x: (x.ImagePositionPatient[1]))
dicom_input_sorted_z = sorted(dicoms, key=lambda x: (x.ImagePositionPatient[2]))
diff_x = abs(dicom_input_sorted_x[-1... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_sorted_mosaics'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | def _get_sorted_mosaics(dicom_input):
sorted_mosaics = sorted(dicom_input, key=lambda x: x.AcquisitionNumber)
for index in range(0, len(sorted_mosaics) - 1):
if sorted_mosaics[index].AcquisitionNumber >= sorted_mosaics[index + 1].AcquisitionNumber:
raise ConversionValidationError("INCONSISTE... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'relate_obs_ids_to_chosen_alts'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'ch... | def relate_obs_ids_to_chosen_alts(obs_id_array,
alt_id_array,
choice_array):
chosen_alts_to_obs_ids = {}
for alt_id in np.sort(np.unique(alt_id_array)):
selection_condition =\
np.where((alt_id_array == alt_id) & (choice_arra... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '18']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'create_estimation_obj'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12', '15']}; {'id': '4', 'type': 'identi... | def create_estimation_obj(model_obj,
init_vals,
mappings=None,
ridge=None,
constrained_pos=None,
weights=None):
mapping_matrices =\
model_obj.get_mappings_for_fit() if mappings i... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sequence'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}, ... | def sequence(self):
'''
sort the points in the line with given option
'''
if (len(self.Points[0]) == 2):
if (self.Sort == 'X' or self.Sort == 'x'):
self.Points.sort(key=lambda x: x[0])
self.order(self.Points)
elif (self.Sort == 'Y' ... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_pos'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sel... | def _get_pos(self, key):
p = bisect(self.runtime._keys, self.hashi(key))
if p == len(self.runtime._keys):
return 0
else:
return p |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '17']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'lapmod'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8', '11', '14']}; {'id': '4', 'type': 'identifier', 'ch... | def lapmod(n, cc, ii, kk, fast=True, return_cost=True,
fp_version=FP_DYNAMIC):
check_cost(n, cc, ii, kk)
if fast is True:
x, y = _lapmod(n, cc, ii, kk, fp_version=fp_version)
else:
cc = np.ascontiguousarray(cc, dtype=np.float64)
ii = np.ascontiguousarray(ii, dtype=np.int32... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_items'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'items'... | def sort_items(items):
sorted_items = {}
for item in items:
category = lookup(item, 'itemCategory', 'categoryCode')
if sorted_items.get(category) is None:
sorted_items[category] = []
sorted_items[category].append(item)
return sorted_items |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_user_permissions'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], '... | def get_user_permissions(self, user_id):
permissions = self.user_service.getPermissions(id=user_id)
return sorted(permissions, key=itemgetter('keyName')) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'transformChildrenToNative'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], '... | def transformChildrenToNative(self):
for childArray in (self.contents[k] for k in self.sortChildKeys()):
for child in childArray:
child = child.transformToNative()
child.transformChildrenToNative() |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_candidate_pairs'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], '... | def sort_candidate_pairs(pairs, ice_controlling):
def pair_priority(pair):
return -candidate_pair_priority(pair.local_candidate,
pair.remote_candidate,
ice_controlling)
pairs.sort(key=pair_priority) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'order_by_refs'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'env... | def order_by_refs(envs):
topology = {
env['name']: set(env['refs'])
for env in envs
}
by_name = {
env['name']: env
for env in envs
}
return [
by_name[name]
for name in toposort_flatten(topology)
] |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'merged_packages'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | def merged_packages(env_packages, names):
combined_packages = sorted(itertools.chain.from_iterable(
env_packages[name].items()
for name in names
))
result = {}
errors = set()
for name, version in combined_packages:
if name in result:
if result[name] != version:
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'recursive_refs'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | def recursive_refs(envs, name):
refs_by_name = {
env['name']: set(env['refs'])
for env in envs
}
refs = refs_by_name[name]
if refs:
indirect_refs = set(itertools.chain.from_iterable([
recursive_refs(envs, ref)
for ref in refs
]))
else:
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'reference_cluster'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | def reference_cluster(envs, name):
edges = [
set([env['name'], ref])
for env in envs
for ref in env['refs']
]
prev, cluster = set(), set([name])
while prev != cluster:
prev = set(cluster)
to_visit = []
for edge in edges:
if cluster & edge:
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '18']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'search'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12', '15']}; {'id': '4', 'type': 'identifier', 'childre... | def search(self, text, sort=None, offset=100, page=1, aquarius_url=None):
assert page >= 1, f'Invalid page value {page}. Required page >= 1.'
logger.info(f'Searching asset containing: {text}')
return [DDO(dictionary=ddo_dict) for ddo_dict in
self._get_aquarius(aquarius_url).text_... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '18']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'query'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12', '15']}; {'id': '4', 'type': 'identifier', 'children... | def query(self, query, sort=None, offset=100, page=1, aquarius_url=None):
logger.info(f'Searching asset query: {query}')
aquarius = self._get_aquarius(aquarius_url)
return [DDO(dictionary=ddo_dict) for ddo_dict in
aquarius.query_search(query, sort, offset, page)['results']] |
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