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', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_dummy_dynamic_run'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], ... | def get_dummy_dynamic_run(nsamples, **kwargs):
seed = kwargs.pop('seed', False)
ndim = kwargs.pop('ndim', 2)
nthread_init = kwargs.pop('nthread_init', 2)
nthread_dyn = kwargs.pop('nthread_dyn', 3)
logl_range = kwargs.pop('logl_range', 1)
if kwargs:
raise TypeError('Unexpected **kwargs: {... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_dates_for_project'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], ... | def get_dates_for_project(self, project):
file_re = re.compile(r'^%s_([0-9]{8})\.json$' % project)
all_dates = []
for f in os.listdir(self.cache_path):
if not os.path.isfile(os.path.join(self.cache_path, f)):
continue
m = file_re.match(f)
if m ... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '12']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'insort_event_right'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9']}; {'id': '4', 'type': 'identifier', 'childre... | def insort_event_right(self, event, lo=0, hi=None):
if lo < 0:
raise ValueError('lo must be non-negative')
if hi is None:
hi = len(self.queue)
while lo < hi:
mid = (lo + hi) // 2
if event[0] < self.queue[mid][0]:
hi = mid
else:
lo = mid + 1
self.queue.insert... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'getMd5Checksum'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'se... | def getMd5Checksum(self):
references = sorted(
self.getReferences(),
key=lambda ref: ref.getMd5Checksum())
checksums = ''.join([ref.getMd5Checksum() for ref in references])
md5checksum = hashlib.md5(checksums).hexdigest()
return md5checksum |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '13']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'knn_impute_few_observed'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '10']}; {'id': '4', 'type': 'identifier... | def knn_impute_few_observed(
X, missing_mask, k, verbose=False, print_interval=100):
start_t = time.time()
n_rows, n_cols = X.shape
missing_mask_column_major = np.asarray(missing_mask, order="F")
observed_mask_column_major = ~missing_mask_column_major
X_column_major = X.copy(order="F")
X... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_sort_converters'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'valu... | def _sort_converters(cls, app_ready=False):
'''Sorts the converter functions'''
cls._sorting_enabled = cls._sorting_enabled or app_ready
if cls._sorting_enabled:
for converter in cls.converters:
converter.prepare_sort_key()
cls.converters.sort(key=attrgett... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'prepare_sort_key'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | def prepare_sort_key(self):
'''
Triggered by view_function._sort_converters when our sort key should be created.
This can't be called in the constructor because Django models might not be ready yet.
'''
if isinstance(self.convert_type, str):
try:
app_n... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '12']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_key_for_numeric_suffixes'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8']}; {'id': '4', 'type': 'identifier', 'c... | def sort_key_for_numeric_suffixes(path, sep='.', suffix_index=-2):
chunks = path.split(sep)
if chunks[suffix_index].isdigit():
return sep.join(chunks[:suffix_index] + chunks[suffix_index+1:]), int(chunks[suffix_index])
return path, 0 |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_query'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's... | def _get_query(self, cursor):
'''
Query tempalte for source Solr, sorts by id by default.
'''
query = {'q':'*:*',
'sort':'id desc',
'rows':self._rows,
'cursorMark':cursor}
if self._date_field:
query['sort'] = "{... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '11']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'url_params'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8']}; {'id': '4', 'type': 'identifier', 'children': [], 'valu... | def url_params(request, except_params=None, as_is=False):
if not request.GET:
return ''
params = []
for key, value in request.GET.items():
if except_params and key not in except_params:
for v in request.GET.getlist(key):
params.append('%s=%s' % (key, urlquote(v)))... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'compose'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'list_splat_pattern', 'children': ['5']}, {'id': ... | def compose(*funcs):
if len(funcs) == 2: f0,f1=funcs; return lambda *a,**kw: f0(f1(*a,**kw))
elif len(funcs) == 3: f0,f1,f2=funcs; return lambda *a,**kw: f0(f1(f2(*a,**kw)))
elif len(funcs) == 0: return lambda x:x
elif len(funcs) == 1: return funcs[0]
else:
def composed(*args,**kwargs):
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_sort_lines'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'... | def _sort_lines(self):
self._valid_lines = sorted(
self._valid_lines,
key=lambda line: line.accept_date,
) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_sort_and_trim'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | def _sort_and_trim(data, reverse=False):
threshold = 10
data_list = data.items()
data_list = sorted(
data_list,
key=lambda data_info: data_info[1],
reverse=reverse,
)
return data_list[:threshold] |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_queryset'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self... | def get_queryset(self):
'''Apply Datatables sort and search criterion to QuerySet'''
qs = super(DatatablesView, self).get_queryset()
qs = self.global_search(qs)
qs = self.column_search(qs)
return qs.order_by(*self.get_orders()) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'rangify'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'number_li... | def rangify(number_list):
if not number_list:
return number_list
ranges = []
range_start = prev_num = number_list[0]
for num in number_list[1:]:
if num != (prev_num + 1):
ranges.append((range_start, prev_num))
range_start = num
prev_num = num
ranges.ap... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '13']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_solver'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11']}; {'id': '4', 'type': 'identifier', 'children': [],... | def get_solver(self, name=None, refresh=False, **filters):
_LOGGER.debug("Requested a solver that best matches feature filters=%r", filters)
if name is not None:
filters.setdefault('name', name)
if not filters and self.default_solver:
filters = self.default_solver
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'find_germanet_xml_files'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'va... | def find_germanet_xml_files(xml_path):
'''
Globs the XML files contained in the given directory and sorts
them into sections for import into the MongoDB database.
Arguments:
- `xml_path`: the path to the directory containing the GermaNet
XML files
'''
xml_files = sorted(glob.glob(os.pa... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '31']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'iter_org_issues'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12', '15', '18', '21', '24', '28']}; {'id': '4... | def iter_org_issues(self, name, filter='', state='', labels='', sort='',
direction='', since=None, number=-1, etag=None):
url = self._build_url('orgs', name, 'issues')
params = issue_params(filter, state, labels, sort, direction, since)
return self._iter(int(number), url,... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '21']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'iter_repos'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14', '18']}; {'id': '4', 'type': 'identifier', 'ch... | def iter_repos(self, type=None, sort=None, direction=None, number=-1,
etag=None):
url = self._build_url('user', 'repos')
params = {}
if type in ('all', 'owner', 'public', 'private', 'member'):
params.update(type=type)
if sort in ('created', 'updated', 'push... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '21']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'iter_starred'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14', '18']}; {'id': '4', 'type': 'identifier', '... | def iter_starred(self, login=None, sort=None, direction=None, number=-1,
etag=None):
if login:
return self.user(login).iter_starred(sort, direction)
params = {'sort': sort, 'direction': direction}
self._remove_none(params)
url = self._build_url('user', 's... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '25']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'search_code'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12', '15', '18', '22']}; {'id': '4', 'type': 'iden... | def search_code(self, query, sort=None, order=None, per_page=None,
text_match=False, number=-1, etag=None):
params = {'q': query}
headers = {}
if sort == 'indexed':
params['sort'] = sort
if sort and order in ('asc', 'desc'):
params['order'] = o... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '25']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'search_issues'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12', '15', '18', '22']}; {'id': '4', 'type': 'id... | def search_issues(self, query, sort=None, order=None, per_page=None,
text_match=False, number=-1, etag=None):
params = {'q': query}
headers = {}
if sort in ('comments', 'created', 'updated'):
params['sort'] = sort
if order in ('asc', 'desc'):
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '25']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'search_users'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12', '15', '18', '22']}; {'id': '4', 'type': 'ide... | def search_users(self, query, sort=None, order=None, per_page=None,
text_match=False, number=-1, etag=None):
params = {'q': query}
headers = {}
if sort in ('followers', 'repositories', 'joined'):
params['sort'] = sort
if order in ('asc', 'desc'):
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '18']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'iter_starred'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '15']}; {'id': '4', 'type': 'identifier', 'childr... | def iter_starred(self, sort=None, direction=None, number=-1, etag=None):
from .repos import Repository
params = {'sort': sort, 'direction': direction}
self._remove_none(params)
url = self.starred_urlt.expand(owner=None, repo=None)
return self._iter(int(number), url, Repository, p... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '15']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'iter_forks'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '12']}; {'id': '4', 'type': 'identifier', 'children': [],... | def iter_forks(self, sort='', number=-1, etag=None):
url = self._build_url('forks', base_url=self._api)
params = {}
if sort in ('newest', 'oldest', 'watchers'):
params = {'sort': sort}
return self._iter(int(number), url, Repository, params, etag) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '36']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'iter_issues'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14', '17', '20', '23', '26', '29', '33']}; {'id':... | def iter_issues(self,
milestone=None,
state=None,
assignee=None,
mentioned=None,
labels=None,
sort=None,
direction=None,
since=None,
number=... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '21']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'iter_milestones'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14', '18']}; {'id': '4', 'type': 'identifier'... | def iter_milestones(self, state=None, sort=None, direction=None,
number=-1, etag=None):
url = self._build_url('milestones', base_url=self._api)
accepted = {'state': ('open', 'closed'),
'sort': ('due_date', 'completeness'),
'direction': ('as... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '27']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'iter_pulls'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14', '17', '20', '24']}; {'id': '4', 'type': 'iden... | def iter_pulls(self, state=None, head=None, base=None, sort='created',
direction='desc', number=-1, etag=None):
url = self._build_url('pulls', base_url=self._api)
params = {}
if state and state.lower() in ('all', 'open', 'closed'):
params['state'] = state.lower()
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '21']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'iter_user_repos'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14', '18']}; {'id': '4', 'type': 'identifier'... | def iter_user_repos(login, type=None, sort=None, direction=None, number=-1,
etag=None):
if login:
return gh.iter_user_repos(login, type, sort, direction, number, etag)
return iter([]) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_descendants'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'valu... | def sort_descendants(self, attr="name"):
node2content = self.get_cached_content(store_attr=attr, container_type=list)
for n in self.traverse():
if not n.is_leaf():
n.children.sort(key=lambda x: str(sorted(node2content[x]))) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'collect_backups'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | def collect_backups(self, location):
backups = []
location = coerce_location(location)
logger.info("Scanning %s for backups ..", location)
location.ensure_readable()
for entry in natsort(location.context.list_entries(location.directory)):
match = TIMESTAMP_PATTERN.sea... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '14']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'prepare_bam'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8', '11']}; {'id': '4', 'type': 'identifier', 'chi... | def prepare_bam(job, uuid, url, config, paired_url=None, rg_line=None):
if config.run_bwa:
get_bam = job.wrapJobFn(setup_and_run_bwakit,
uuid,
url,
rg_line,
config,
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'alignment'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'identifier', 'children': [], 'v... | def alignment(job, ids, input_args, sample):
uuid, urls = sample
work_dir = job.fileStore.getLocalTempDir()
output_dir = input_args['output_dir']
key_path = input_args['ssec']
cores = multiprocessing.cpu_count()
return_input_paths(job, work_dir, ids, 'ref.fa', 'ref.fa.amb', 'ref.fa.ann',
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'bamsort_and_index'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | def bamsort_and_index(job, job_vars):
input_args, ids = job_vars
work_dir = job.fileStore.getLocalTempDir()
sudo = input_args['sudo']
rg_alignments = return_input_paths(job, work_dir, ids, 'rg_alignments.bam')
output = os.path.join(work_dir, 'sorted.bam')
cmd1 = ['sort', docker_path(rg_alignment... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_bam_by_reference'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], ... | def sort_bam_by_reference(job, job_vars):
input_args, ids = job_vars
work_dir = job.fileStore.getLocalTempDir()
sorted_bam, sorted_bai = return_input_paths(job, work_dir, ids, 'sorted.bam', 'sorted.bam.bai')
output = os.path.join(work_dir, 'sort_by_ref.bam')
ref_seqs = []
handle = subprocess.Pop... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '4']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'main'}, {'id': '3', 'type': 'parameters', 'children': []}; {'id': '4', 'type': 'block', 'children': ['5', '11', '20', '28', '121']}, {... | def main():
parser = build_parser()
Job.Runner.addToilOptions(parser)
args = parser.parse_args()
inputs = {'config': args.config,
'config_fastq': args.config_fastq,
'input': args.input,
'unc.bed': args.unc,
'hg19.transcripts.fa': args.fasta,
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'fourier_series'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'identifier', 'children': [... | def fourier_series(self, pars, x, order):
sum = pars[0]
for i in range(order):
sum += pars[i * 2 + 1] * np.sin(2 * np.pi * (i + 1) * x) \
+ pars[i * 2 + 2] * np.cos(2 * np.pi * (i + 1) * x)
return sum |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'slope_percentile'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], ... | def slope_percentile(self, date, mag):
date_diff = date[1:] - date[:len(date) - 1]
mag_diff = mag[1:] - mag[:len(mag) - 1]
index = np.where(mag_diff != 0.)
date_diff = date_diff[index]
mag_diff = mag_diff[index]
slope = date_diff / mag_diff
percentile_10 = np.perc... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'number_aware_alphabetical_cmp'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'childre... | def number_aware_alphabetical_cmp(str1, str2):
def flatten_tokens(tokens):
l = []
for token in tokens:
if isinstance(token, str):
for char in token:
l.append(char)
else:
assert isinstance(token, float)
l.appe... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_members'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': ... | def sort_members(tup, names):
scalars, tuples = partition(lambda x: not is_tuple_node(tup.member[x].value), names)
unbound, bound = partition(lambda x: tup.member[x].value.is_unbound(), scalars)
return usorted(unbound) + usorted(bound), usorted(tuples) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_schemas'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sche... | def sort_schemas(schemas):
def keyfun(v):
x = SQL_SCHEMA_REGEXP.match(v).groups()
return (int(x[0]), x[1], int(x[2]) if x[2] else None,
x[3] if x[3] else 'zzz', int(x[4]))
return sorted(schemas, key=keyfun) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_nodes'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'd... | def sort_nodes(dom, cmp_func):
dom.normalize()
for node in list(walk_dom(dom, elements_only=True)):
prev_sib = node.previousSibling
while prev_sib and cmp_func(prev_sib, node) == 1:
node.parentNode.insertBefore(node, prev_sib)
prev_sib = node.previousSibling |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'currentdir'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's... | def currentdir(self) -> str:
if self._currentdir is None:
directories = self.availabledirs.folders
if len(directories) == 1:
self.currentdir = directories[0]
elif self.DEFAULTDIR in directories:
self.currentdir = self.DEFAULTDIR
els... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'zip_currentdir'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | def zip_currentdir(self) -> None:
with zipfile.ZipFile(f'{self.currentpath}.zip', 'w') as zipfile_:
for filepath, filename in zip(self.filepaths, self.filenames):
zipfile_.write(filename=filepath, arcname=filename)
del self.currentdir |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5', '11']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'keywords'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'se... | def keywords(self) -> Set[str]:
return set(keyword for device in self
for keyword in device.keywords if
keyword not in self._shadowed_keywords) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5', '11']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'variables'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's... | def variables(self) -> Set[str]:
variables: Set[str] = set()
for connection in self.__connections:
variables.update(connection.variables)
return variables |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5', '23']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'model2subs2seqs'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'valu... | def model2subs2seqs(self) -> Dict[str, Dict[str, List[str]]]:
model2subs2seqs = collections.defaultdict(
lambda: collections.defaultdict(list))
for model in self.find('sequences'):
model_name = strip(model.tag)
if model_name == 'node':
continue
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5', '17']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'subs2seqs'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's... | def subs2seqs(self) -> Dict[str, List[str]]:
subs2seqs = collections.defaultdict(list)
nodes = find(self.find('sequences'), 'node')
if nodes is not None:
for seq in nodes:
subs2seqs['node'].append(strip(seq.tag))
return subs2seqs |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '4', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_modelnames'}, {'id': '3', 'type': 'parameters', 'children': []}; {'id': '4', 'type': 'type', 'children': ['5']}, {'id': '5',... | def get_modelnames() -> List[str]:
return sorted(str(fn.split('.')[0])
for fn in os.listdir(models.__path__[0])
if (fn.endswith('.py') and (fn != '__init__.py'))) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5', '15']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'toys'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}... | def toys(self) -> Tuple[timetools.TOY, ...]:
return tuple(toy for (toy, _) in self) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'collect_variables'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [],... | def collect_variables(self, selections) -> None:
self.insert_variables(self.device2target, self.targetspecs, selections) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'collect_variables'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [],... | def collect_variables(self, selections) -> None:
super().collect_variables(selections)
self.insert_variables(self.device2base, self.basespecs, selections) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '14']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'save_controls'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11']}; {'id': '4', 'type': 'identifier', 'children': ... | def save_controls(self, parameterstep=None, simulationstep=None,
auxfiler=None):
self.elements.save_controls(parameterstep=parameterstep,
simulationstep=simulationstep,
auxfiler=auxfiler) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'variables'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'},... | def variables(self):
variables = set([])
for node in self.nodes:
variables.add(node.variable)
return sorted(variables) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7', '15']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_timeplaceentries'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'chil... | def sort_timeplaceentries(self, timeentry, placeentry) -> Tuple[Any, Any]:
if self._timeaxis:
return placeentry, timeentry
return timeentry, placeentry |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '4', '16']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'prepare_io_example_1'}, {'id': '3', 'type': 'parameters', 'children': []}; {'id': '4', 'type': 'type', 'children': ['5']}, {'id'... | def prepare_io_example_1() -> Tuple[devicetools.Nodes, devicetools.Elements]:
from hydpy import TestIO
TestIO.clear()
from hydpy.core.filetools import SequenceManager
hydpy.pub.sequencemanager = SequenceManager()
with TestIO():
hydpy.pub.sequencemanager.inputdirpath = 'inputpath'
hyd... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '29']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'comparison_table'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14', '17', '20', '23', '26']}; {'id': '4', '... | def comparison_table(self, caption=None, label="tab:model_comp", hlines=True,
aic=True, bic=True, dic=True, sort="bic", descending=True):
if sort == "bic":
assert bic, "You cannot sort by BIC if you turn it off"
if sort == "aic":
assert aic, "You cannot s... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_initDevClasses'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's... | def _initDevClasses(self):
self._devClassTree = {}
self._partitionTree = {}
self._mapDevType = {}
basedevs = []
otherdevs = []
if self._mapMajorDevclass is None:
self._initBlockMajorMap()
for dev in self._diskStats:
stats = self._diskStats[... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'zdiffstore'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'identifier', 'children': [], ... | def zdiffstore(self, dest, keys, withscores=False):
'''Compute the difference of multiple sorted.
The difference of sets specified by ``keys`` into a new sorted set
in ``dest``.
'''
keys = (dest,) + tuple(keys)
wscores = 'withscores' if withscores else ''
r... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '19']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'places_within_radius'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14', '17']}; {'id': '4', 'type': 'identi... | def places_within_radius(
self, place=None, latitude=None, longitude=None, radius=0, **kwargs
):
kwargs['withdist'] = True
kwargs['withcoord'] = True
kwargs['withhash'] = False
kwargs.setdefault('sort', 'ASC')
unit = kwargs.setdefault('unit', 'km')
if place is... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'naturalize_person'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | def naturalize_person(self, string):
suffixes = [
'Jr', 'Jr.', 'Sr', 'Sr.',
'I', 'II', 'III', 'IV', 'V',
]
suffixes = suffixes + [s.lower() for s in suffixes]
particles = [
'Le', 'La',
'Von', 'Van... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_countries'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sel... | def get_countries(self):
qs = Venue.objects.values('country') \
.exclude(country='') \
.distinct() \
.order_by('country')
countries = []
for c in qs:
countries.append({
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '13']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'fit'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '10']}; {'id': '4', 'type': 'identifier', 'children': [], '... | def fit(self, t, y, dy=1, presorted=False):
self.t, self.y, self.dy = self._validate_inputs(t, y, dy, presorted)
self._fit(self.t, self.y, self.dy)
return self |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'validate_inputs'}, {'id': '3', 'type': 'parameters', 'children': ['4', '6']}; {'id': '4', 'type': 'list_splat_pattern', 'children': ['... | def validate_inputs(*arrays, **kwargs):
arrays = np.broadcast_arrays(*arrays)
sort_by = kwargs.pop('sort_by', None)
if kwargs:
raise ValueError("unrecognized arguments: {0}".format(kwargs.keys()))
if arrays[0].ndim != 1:
raise ValueError("Input arrays should be one-dimensional.")
if ... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'multinterp'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'identifier', 'children': [], ... | def multinterp(x, y, xquery, slow=False):
x, y, xquery = map(np.asarray, (x, y, xquery))
assert x.ndim == 1
assert xquery.ndim == 1
assert y.shape == x.shape + xquery.shape
xquery = np.clip(xquery, x.min(), x.max())
if slow:
from scipy.interpolate import interp1d
return np.array(... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '12']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'check_valid_time_and_sort'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9']}; {'id': '4', 'type': 'identifier', '... | def check_valid_time_and_sort(df, timescol, days=5, warning=True):
timediff = (df[timescol].max() - df[timescol].min()).days
if timediff < days:
return df.sort_values(timescol).reset_index(drop=True).reset_index()
else:
if warning:
sys.stderr.write(
"\nWarning: da... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '18']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'list_anime_series'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '10', '15']}; {'id': '4', 'type': 'identifier', 'childr... | def list_anime_series(self, sort=META.SORT_ALPHA, limit=META.MAX_SERIES, offset=0):
result = self._android_api.list_series(
media_type=ANDROID.MEDIA_TYPE_ANIME,
filter=sort,
limit=limit,
offset=offset)
return result |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '18']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'list_drama_series'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '10', '15']}; {'id': '4', 'type': 'identifier', 'childr... | def list_drama_series(self, sort=META.SORT_ALPHA, limit=META.MAX_SERIES, offset=0):
result = self._android_api.list_series(
media_type=ANDROID.MEDIA_TYPE_DRAMA,
filter=sort,
limit=limit,
offset=offset)
return result |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '19']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'list_media'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '11', '16']}; {'id': '4', 'type': 'identifier', 'children... | def list_media(self, series, sort=META.SORT_DESC, limit=META.MAX_MEDIA, offset=0):
params = {
'sort': sort,
'offset': offset,
'limit': limit,
}
params.update(self._get_series_query_dict(series))
result = self._android_api.list_media(**params)
r... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'solve_sort'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'e... | def solve_sort(expr, vars):
lhs_values = repeated.getvalues(__solve_for_repeated(expr.lhs, vars)[0])
sort_expression = expr.rhs
def _key_func(x):
return solve(sort_expression, __nest_scope(expr.lhs, vars, x)).value
results = ordered.ordered(lhs_values, key_func=_key_func)
return Result(repea... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'expression'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's... | def expression(self, previous_precedence=0):
lhs = self.atom()
return self.operator(lhs, previous_precedence) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'application'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | def application(self, func):
start = self.tokens.matched.start
if self.tokens.accept(common_grammar.rparen):
return ast.Apply(func, start=start, end=self.tokens.matched.end,
source=self.original)
arguments = [self.expression()]
while self.tokens.a... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'value_eq'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sel... | def value_eq(self, other):
self_sorted = ordered.ordered(self.getvalues())
other_sorted = ordered.ordered(repeated.getvalues(other))
return self_sorted == other_sorted |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'merge'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'a... | def merge(a_intervals, b_intervals, op):
a_endpoints = a_intervals.flatten().tolist()
b_endpoints = b_intervals.flatten().tolist()
sentinel = max(a_endpoints[-1], b_endpoints[-1]) + 1
a_endpoints += [sentinel]
b_endpoints += [sentinel]
a_index = 0
b_index = 0
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'check_bam'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'ba... | def check_bam(bam, samtype="bam"):
ut.check_existance(bam)
samfile = pysam.AlignmentFile(bam, "rb")
if not samfile.has_index():
pysam.index(bam)
samfile = pysam.AlignmentFile(bam, "rb")
logging.info("Nanoget: No index for bam file could be found, created index.")
if not samfile.h... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '21']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_input'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12', '15', '18']}; {'id': '4', 'type': 'identifier',... | def get_input(source, files, threads=4, readtype="1D",
combine="simple", names=None, barcoded=False):
proc_functions = {
'fastq': ex.process_fastq_plain,
'fasta': ex.process_fasta,
'bam': ex.process_bam,
'summary': ex.process_summary,
'fastq_rich': ex.process_fa... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'validate_wavelengths'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | def validate_wavelengths(wavelengths):
if isinstance(wavelengths, u.Quantity):
units.validate_wave_unit(wavelengths.unit)
wave = wavelengths.value
else:
wave = wavelengths
if np.isscalar(wave):
wave = [wave]
wave = np.asarray(wave)
if np.any(wave <= 0):
raise ... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'heapify'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self... | def heapify(self, key=__marker):
if key is self.__marker:
n = len(self._heap)
for pos in reversed(range(n//2)):
self._sink(pos)
else:
try:
pos = self._position[key]
except KeyError:
raise KeyError(key)
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '29', '31']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '__update_display_items_model'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '11', '21']}; {'id': '4', 'type': 'ide... | def __update_display_items_model(self, display_items_model: ListModel.FilteredListModel, data_group: typing.Optional[DataGroup.DataGroup], filter_id: typing.Optional[str]) -> None:
with display_items_model.changes():
if data_group is not None:
display_items_model.container = data_gro... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_by_date_key'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | def sort_by_date_key(data_item):
return data_item.title + str(data_item.uuid) if data_item.is_live else str(), data_item.date_for_sorting, str(data_item.uuid) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '19']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'open_mfbpchdataset'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14', '17']}; {'id': '4', 'type': 'identifi... | def open_mfbpchdataset(paths, concat_dim='time', compat='no_conflicts',
preprocess=None, lock=None, **kwargs):
from xarray.backends.api import _MultiFileCloser
dask = kwargs.pop('dask', False)
if not dask:
raise ValueError("Reading multiple files without dask is not supported"... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_archive_filelist'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'valu... | def _get_archive_filelist(filename):
names = []
if tarfile.is_tarfile(filename):
with tarfile.open(filename) as tar_file:
names = sorted(tar_file.getnames())
elif zipfile.is_zipfile(filename):
with zipfile.ZipFile(filename) as zip_file:
names = sorted(zip_file.namelis... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'pbar_strings'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8']}; {'id': '4', 'type': 'identifier', 'children': [], 'va... | def pbar_strings(files, desc='', **kwargs):
return tqdm(
sorted(files, key=lambda s: s.lower()),
desc=('<' + str(datetime.now().strftime("%Y-%m-%d %H:%M:%S")) + '> ' +
desc),
dynamic_ncols=True,
**kwargs) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_func'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'se... | def sort_func(self, key):
if key == self._KEYS.TIME:
return 'aaa'
if key == self._KEYS.DATA:
return 'zzy'
if key == self._KEYS.SOURCE:
return 'zzz'
return key |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_func'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'se... | def sort_func(self, key):
if key == self._KEYS.VALUE:
return 'aaa'
if key == self._KEYS.SOURCE:
return 'zzz'
return key |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_func'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'se... | def sort_func(self, key):
if key == self._KEYS.SCHEMA:
return 'aaa'
if key == self._KEYS.NAME:
return 'aab'
if key == self._KEYS.SOURCES:
return 'aac'
if key == self._KEYS.ALIAS:
return 'aad'
if key == self._KEYS.MODELS:
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_func'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'se... | def sort_func(self, key):
if key == self._KEYS.TIME:
return 'aaa'
if key == self._KEYS.MODEL:
return 'zzy'
if key == self._KEYS.SOURCE:
return 'zzz'
return key |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'TypeFactory'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'type_... | def TypeFactory(type_):
if isinstance(type_, type) and issubclass(type_, Type):
return type_
for x in __types__:
if x.represents(type_):
return x.get(type_)
raise UnknownType(type_) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_sorted_dependencies'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'va... | def get_sorted_dependencies(service_model):
app_models = list(service_model._meta.app_config.get_models())
dependencies = {model: set() for model in app_models}
relations = (
relation
for model in app_models
for relation in model._meta.related_objects
if relation.on_delete in... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '11']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'format_time_and_value_to_segment_list'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8']}; {'id': '4', 'type'... | def format_time_and_value_to_segment_list(time_and_value_list, segments_count, start_timestamp,
end_timestamp, average=False):
segment_list = []
time_step = (end_timestamp - start_timestamp) / segments_count
for i in range(segments_count):
segment_start_time... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_api_root_view'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | def get_api_root_view(self, api_urls=None):
api_root_dict = OrderedDict()
list_name = self.routes[0].name
for prefix, viewset, basename in self.registry:
api_root_dict[prefix] = list_name.format(basename=basename)
class APIRootView(views.APIView):
_ignore_model_pe... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_default_base_name'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], ... | def get_default_base_name(self, viewset):
queryset = getattr(viewset, 'queryset', None)
if queryset is not None:
get_url_name = getattr(queryset.model, 'get_url_name', None)
if get_url_name is not None:
return get_url_name()
return super(SortedDefaultRoute... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_dict'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'd'... | def sort_dict(d, desc=True):
sort = sorted(d.items(), key=lambda x: x[1], reverse=desc)
return OrderedDict(sort) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '23']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_tupleCompare'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '17', '20']}; {'id': '4', 'type': 'identifier', '... | def _tupleCompare(tuple1, ineq, tuple2,
eq=lambda a,b: (a==b),
ander=AND,
orer=OR):
orholder = []
for limit in range(len(tuple1)):
eqconstraint = [
eq(elem1, elem2) for elem1, elem2 in zip(tuple1, tuple2)[:limit]]
ineqconstraint = in... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_datasets'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8']}; {'id': '4', 'type': 'identifier', 'children': [], 'va... | def get_datasets(self, query='*:*', **kwargs):
return hdx.data.dataset.Dataset.search_in_hdx(query=query,
configuration=self.configuration,
fq='organization:%s' % self.data['name'], **kwargs) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_all_organization_names'}, {'id': '3', 'type': 'parameters', 'children': ['4', '7']}; {'id': '4', 'type': 'default_parameter', 'chi... | def get_all_organization_names(configuration=None, **kwargs):
organization = Organization(configuration=configuration)
organization['id'] = 'all organizations'
return organization._write_to_hdx('list', kwargs, 'id') |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '16']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'search_in_hdx'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14']}; {'id': '4', 'type': 'identifier', 'child... | def search_in_hdx(cls, query='*:*', configuration=None, page_size=1000, **kwargs):
dataset = Dataset(configuration=configuration)
total_rows = kwargs.get('rows', cls.max_int)
start = kwargs.get('start', 0)
all_datasets = None
attempts = 0
while attempts < cls.max_attempts... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '18', '22']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_dict'}, {'id': '3', 'type': 'parameters', 'children': ['4', '8', '13']}; {'id': '4', 'type': 'typed_parameter', 'children'... | def sort_dict(d: dict, by: str = 'key',
allow_duplicates: bool = True) -> collections.OrderedDict:
if by == 'key':
i = 0
elif by == 'value':
values = list(d.values())
if len(values) != len(set(values)) and not allow_duplicates:
duplicates = find_duplicates(value... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_all_users'}, {'id': '3', 'type': 'parameters', 'children': ['4', '7']}; {'id': '4', 'type': 'default_parameter', 'children': ['5',... | def get_all_users(configuration=None, **kwargs):
user = User(configuration=configuration)
user['id'] = 'all users'
result = user._write_to_hdx('list', kwargs, 'id')
users = list()
if result:
for userdict in result:
user = User(userdict, configuration=c... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'fromkeys'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':... | def fromkeys(cls, iterable, value=None):
if not callable(value):
return cls(dict.fromkeys(iterable, value))
return cls((key, value(key)) for key in iterable) |
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