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def _get_placeholder_cache_version(placeholder, lang, site_id): from django.core.cache import cache key = _get_placeholder_cache_version_key(placeholder, lang, site_id) cached = cache.get(key) if cached: (version, vary_on_list) = cached else: version = int((time.time() * 1000000)) vary_on_list = [] _set_pl...
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gets the s current version and vary-on header-names list .
train
false
24,175
def _get_custom_cache_region(expiration_time=WEEK, backend=None, url=None): region = cache.create_region() region_params = {} if (expiration_time != 0): region_params['expiration_time'] = expiration_time if (backend == 'oslo_cache.dict'): region_params['arguments'] = {'expiration_time': expiration_time} elif (...
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create instance of oslo_cache client .
train
false
24,176
def hex_to_rgb(value): value = value.lstrip('#') hex_total_length = len(value) rgb_section_length = (hex_total_length // 3) return tuple((int(value[i:(i + rgb_section_length)], 16) for i in range(0, hex_total_length, rgb_section_length)))
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calculates rgb values from a hex color code .
train
false
24,177
def _sort_candidates(candidates): return sorted(candidates, key=(lambda match: match.distance))
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sort candidates by distance .
train
false
24,180
def hough_line(img, theta=None): if (theta is None): theta = np.linspace(((- np.pi) / 2), (np.pi / 2), 180) return _hough_line(img, theta)
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perform a straight line hough transform .
train
false
24,181
def _update_dataset_primary(deployment, dataset_id, primary): (primary_manifestation, old_primary_node) = _find_manifestation_and_node(deployment, dataset_id) old_primary_node = old_primary_node.transform(('manifestations', primary_manifestation.dataset_id), discard) deployment = deployment.update_node(old_primary_n...
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update the deployment so that the dataset with the supplied dataset_id is on the node with the supplied primary address .
train
false
24,182
def param_set(name, value, retries=3): name = name.upper() return mpstate.mav_param.mavset(mpstate.master(), name, value, retries=retries)
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set a param in varnish cache cli example: .
train
true
24,185
def copystream(src, dest, size, chunk_size=(10 ** 5)): while (size > 0): if (size < chunk_size): data = src.read(size) else: data = src.read(chunk_size) length = len(data) if (length > size): (data, length) = (data[:size], size) size -= length if (length == 0): break dest.write(data) if (le...
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this is here because i think there is a bug in shutil .
train
false
24,187
def get_default_company(user=None): from frappe.defaults import get_user_default_as_list if (not user): user = frappe.session.user companies = get_user_default_as_list(user, u'company') if companies: default_company = companies[0] else: default_company = frappe.db.get_single_value(u'Global Defaults', u'defau...
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get default company for user .
train
false
24,188
def items_overlap_with_suffix(left, lsuffix, right, rsuffix): to_rename = left.intersection(right) if (len(to_rename) == 0): return (left, right) else: if ((not lsuffix) and (not rsuffix)): raise ValueError(('columns overlap but no suffix specified: %s' % to_rename)) def lrenamer(x): if (x in to_rename):...
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if two indices overlap .
train
false
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def XMPPClientFactory(jid, password): a = XMPPAuthenticator(jid, password) return xmlstream.XmlStreamFactory(a)
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client factory for xmpp 1 .
train
false
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def dup_multi_deflate(polys, K): G = 0 for p in polys: if (dup_degree(p) <= 0): return (1, polys) g = 0 for i in range(len(p)): if (not p[((- i) - 1)]): continue g = igcd(g, i) if (g == 1): return (1, polys) G = igcd(G, g) return (G, tuple([p[::G] for p in polys]))
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map x**m to y in a set of polynomials in k[x] .
train
false
24,191
def ensure_context_attribute_exists(context, name, default_value=None): if (not hasattr(context, name)): setattr(context, name, default_value)
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ensure a behave resource exists as attribute in the behave context .
train
true
24,192
def get_from_user(title, prompt, hidden=False, value=None): if (value is None): value = '' script = '\n on run argv\n tell application "Alfred 2"\n activate\n set alfredPath to (path to application "Alfred 2")\n set alfredIcon to path to resource "appicon.icns"...
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popup a dialog to request some piece of information .
train
false
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def install_as_MySQLdb(): sys.modules['MySQLdb'] = sys.modules['_mysql'] = sys.modules['pymysql']
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after this function is called .
train
false
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def run_hive_cmd(hivecmd, check_return_code=True): return run_hive(['-e', hivecmd], check_return_code)
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runs the given hive query and returns stdout .
train
false
24,196
def _resize_event(event, params): size = ','.join([str(s) for s in params['fig'].get_size_inches()]) set_config('MNE_BROWSE_RAW_SIZE', size, set_env=False) _layout_figure(params)
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handle resize event .
train
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def _ofport_result_pending(result): try: int(result) return False except (ValueError, TypeError): return True
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return true if ovs-vsctl indicates the result is still pending .
train
false
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def _describe_source(d): path = (d.get('path') or '') if (('num_lines' in d) and ('start_line' in d)): if (d['num_lines'] == 1): return ('line %d of %s' % ((d['start_line'] + 1), path)) else: return ('lines %d-%d of %s' % ((d['start_line'] + 1), (d['start_line'] + d['num_lines']), path)) else: return pat...
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return either <path> or line n of <path> or lines m-n of <path> .
train
false
24,200
def pp_to_opts(pp): pp = sabnzbd.interface.int_conv(pp) if (pp == 0): return (False, False, False) if (pp == 1): return (True, False, False) if (pp == 2): return (True, True, False) return (True, True, True)
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convert numeric processing options to .
train
false
24,201
def extract_crypto_meta(value): crypto_meta = None parts = value.split(';') if (len(parts) == 2): (value, param) = parts crypto_meta_tag = 'swift_meta=' if param.strip().startswith(crypto_meta_tag): param = param.strip()[len(crypto_meta_tag):] crypto_meta = load_crypto_meta(param) return (value, crypto_...
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extract and deserialize any crypto meta from the end of a value .
train
false
24,203
def ddt(cls): for (name, func) in list(cls.__dict__.items()): if hasattr(func, DATA_ATTR): for (i, v) in enumerate(getattr(func, DATA_ATTR)): test_name = mk_test_name(name, getattr(v, '__name__', v), i) if hasattr(func, UNPACK_ATTR): if (isinstance(v, tuple) or isinstance(v, list)): add_test(cl...
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class decorator for subclasses of unittest .
train
false
24,204
def get_date_format(format='medium', locale=LC_TIME): return Locale.parse(locale).date_formats[format]
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return the date formatting patterns used by the locale for the specified format .
train
false
24,206
def s_one_one(topics): s_one_one = [] for top_words in topics: s_one_one_t = [] for (w_prime_index, w_prime) in enumerate(top_words): for (w_star_index, w_star) in enumerate(top_words): if (w_prime_index == w_star_index): continue else: s_one_one_t.append((w_prime, w_star)) s_one_one.append...
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this function performs s_one_one segmentation on a list of topics .
train
false
24,207
def create_new_course_in_store(store, user, org, number, run, fields): fields.update({'language': getattr(settings, 'DEFAULT_COURSE_LANGUAGE', 'en'), 'cert_html_view_enabled': True}) with modulestore().default_store(store): new_course = modulestore().create_course(org, number, run, user.id, fields=fields) add_inst...
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create course in store w/ handling instructor enrollment .
train
false
24,210
def pportInBusy(): if (port.DlPortReadPortUchar(statusRegAdrs) & 128): return 0 else: return 1
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input from busy pin .
train
false
24,211
def validate_and_update_entities(db_access, zookeeper, log_postfix, total_entities): last_key = '' entities_checked = 0 last_logged = time.time() while True: logging.debug('Fetching {} entities'.format(BATCH_SIZE)) entities = get_entity_batch(last_key, db_access, BATCH_SIZE) if (not entities): break for ...
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validates entities in batches of batch_size .
train
false
24,212
def libvlc_vlm_set_output(p_instance, psz_name, psz_output): f = (_Cfunctions.get('libvlc_vlm_set_output', None) or _Cfunction('libvlc_vlm_set_output', ((1,), (1,), (1,)), None, ctypes.c_int, Instance, ctypes.c_char_p, ctypes.c_char_p)) return f(p_instance, psz_name, psz_output)
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set the output for a media .
train
true
24,214
def reorient(image, orientation): o = TIFF_ORIENTATIONS.get(orientation, orientation) if (o == 'top_left'): return image elif (o == 'top_right'): return image[..., ::(-1), :] elif (o == 'bottom_left'): return image[..., ::(-1), :, :] elif (o == 'bottom_right'): return image[..., ::(-1), ::(-1), :] elif (o...
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return reoriented view of image array .
train
true
24,215
def from_xfr(xfr, zone_factory=Zone, relativize=True, check_origin=True): z = None for r in xfr: if (z is None): if relativize: origin = r.origin else: origin = r.answer[0].name rdclass = r.answer[0].rdclass z = zone_factory(origin, rdclass, relativize=relativize) for rrset in r.answer: zno...
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convert the output of a zone transfer generator into a zone object .
train
true
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@nottest def slow_test(f): f.slow_test = True return f
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decorator for slow tests .
train
false
24,218
def auth_email_logout(token, user): redirect_url = cas.get_logout_url(service_url=cas.get_login_url(service_url=web_url_for('index', _absolute=True))) try: unconfirmed_email = user.get_unconfirmed_email_for_token(token) except InvalidTokenError: raise HTTPError(http.BAD_REQUEST, data={'message_short': 'Bad token...
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when a user is adding an email or merging an account .
train
false
24,219
def get_columns(pkt): columns = [] num_columns = endian_int(pkt[5:7]) pkt = pkt[7:] ctmp = '' for column in xrange(num_columns): cnt = 0 while True: tmp = pkt[cnt] if (tmp == '00'): columns.append(ctmp) ctmp = '' pkt = pkt[(cnt + 19):] break ctmp += tmp.decode('hex') cnt += 1 retur...
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returns list of columns for given table .
train
false
24,220
def lease_response(lease, now): if (lease.expiration is None): expires = None else: expires = (lease.expiration - now).total_seconds() return {u'dataset_id': unicode(lease.dataset_id), u'node_uuid': unicode(lease.node_id), u'expires': expires}
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convert a lease to the corresponding objects for json serialization .
train
false
24,222
@cache_permission def can_manage_acl(user, project): return check_permission(user, project, 'trans.manage_acl')
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checks whether user can manage acl on given project .
train
false
24,226
def unit_impulse(shape, idx=None, dtype=float): out = zeros(shape, dtype) shape = np.atleast_1d(shape) if (idx is None): idx = ((0,) * len(shape)) elif (idx == 'mid'): idx = tuple((shape // 2)) elif (not hasattr(idx, '__iter__')): idx = ((idx,) * len(shape)) out[idx] = 1 return out
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unit impulse signal or unit basis vector .
train
false
24,228
def _removeSafely(path): if (not path.child('_trial_marker').exists()): raise _NoTrialMarker(('%r is not a trial temporary path, refusing to remove it' % (path,))) try: path.remove() except OSError as e: print ('could not remove %r, caught OSError [Errno %s]: %s' % (path, e.errno, e.strerror)) try: newPat...
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safely remove a path .
train
false
24,229
@cronjobs.register def cleanup_validation_results(): all = FileValidation.objects.all() log.info(('Removing %s old validation results.' % all.count())) all.delete()
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will remove all validation results .
train
false
24,230
def _NormalizedSource(source): normalized = os.path.normpath(source) if (source.count('$') == normalized.count('$')): source = normalized return source
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normalize the path .
train
false
24,231
def getLeftPoint(points): leftmost = 999999999.0 leftPointComplex = None for pointComplex in points: if (pointComplex.real < leftmost): leftmost = pointComplex.real leftPointComplex = pointComplex return leftPointComplex
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get the leftmost complex point in the points .
train
false
24,232
def target_update(target, deps, cmd): if target_outdated(target, deps): system(cmd)
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update a target with a given command given a list of dependencies .
train
false
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def dictCombinations(listdict): listdict = listdict.copy() if (len(listdict) == 0): return [{}] (k, vs) = listdict.popitem() res = dictCombinations(listdict) if (isinstance(vs, list) or isinstance(vs, tuple)): res = [dict(d, **{k: v}) for d in res for v in sorted(set(vs))] else: res = [dict(d, **{k: vs}) fo...
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iterates over dictionaries that go through every possible combination of key-value pairs as specified in the lists of values for each key in listdict .
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def get_group_by_args(): group_by = request.args.get('group_by') if (not group_by): group_by = '' return group_by
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get page arguments for group by .
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def p_field_seq(p): _parse_seq(p)
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field_seq : field sep field_seq | field field_seq .
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def name_for_scalar_relationship(base, local_cls, referred_cls, constraint): return referred_cls.__name__.lower()
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return the attribute name that should be used to refer from one class to another .
train
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def get_flow(db_api, image_service_api, availability_zones, create_what, scheduler_rpcapi=None, volume_rpcapi=None): flow_name = (ACTION.replace(':', '_') + '_api') api_flow = linear_flow.Flow(flow_name) api_flow.add(ExtractVolumeRequestTask(image_service_api, availability_zones, rebind={'size': 'raw_size', 'availab...
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constructs and returns the api entrypoint flow .
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def firstmethod(method, on_call=None): def _matcher(it, *args, **kwargs): for obj in it: try: meth = getattr(maybe_evaluate(obj), method) reply = (on_call(meth, *args, **kwargs) if on_call else meth(*args, **kwargs)) except AttributeError: pass else: if (reply is not None): return reply...
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returns a functions that with a list of instances .
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def get_permission_object_from_string(permission_string): (app_label, codename) = permission_string.split('.') return Permission.objects.get(content_type__app_label=app_label, codename=codename)
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given a permission string of the form app_label .
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def annotate_content_models_by_youtube_id(channel='khan', language='en', youtube_ids=None): annotate_content_models(channel=channel, language=language, ids=youtube_ids, iterator_content_items=iterator_content_items_by_youtube_id)
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annotate content models that have the youtube ids specified in a list .
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def filter_raising_callables(it, exception, *args, **kwargs): for elem in it: try: (yield elem(*args, **kwargs)) except exception: pass
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filters all callable items inside the given iterator that raise the given exceptions .
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def backwords(environ, realm, username): password = list(username) password.reverse() password = ''.join(password) return digest_password(realm, username, password)
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dummy password hash .
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def course_starts_within(start_date, look_ahead_days): return ((datetime.now(utc) + timedelta(days=look_ahead_days)) > start_date)
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given a courses start datetime and look ahead days .
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def getIsInsetPointInsideLoops(inside, loops, pointBegin, pointCenter, pointEnd, radius): centerMinusBegin = euclidean.getNormalized((pointCenter - pointBegin)) centerMinusBeginWiddershins = complex((- centerMinusBegin.imag), centerMinusBegin.real) endMinusCenter = euclidean.getNormalized((pointEnd - pointCenter)) ...
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determine if the inset point is inside the loops .
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def infer_ass(self, context=None): stmt = self.statement() if isinstance(stmt, nodes.AugAssign): return stmt.infer(context) stmts = list(self.assigned_stmts(context=context)) return _infer_stmts(stmts, context)
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infer a assname/assattr: need to inspect the rhs part of the assign node .
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def mixin_user_query(cls): name = ('Appender' + cls.__name__) return type(name, (AppenderMixin, cls), {'query_class': cls})
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return a new class with appenderquery functionality layered over .
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def clear_finalizers(clear_all=False): ThreadSafeFinalizer.clear_finalizers(clear_all) Finalizer.clear_finalizers(clear_all)
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removes all registered finalizers in :class:threadsafefinalizer and :class:finalizer .
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def get_current_version_name(): return os.environ['CURRENT_VERSION_ID'].split('.')[0]
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returns the version of the current instance .
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def is_broken_link(path): path = os.readlink(path) return (not os.path.exists(path))
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returns true if the path given as is a broken symlink .
train
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def do_boolean_sum(field): cond = {field: True} return Sum(Case(When(then=1, **cond), default=0, output_field=IntegerField()))
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wrapper to generate sum on boolean values .
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def finalize_path_expansion(paths_expansion_list): path_seen = set() merged_paths = [] for paths_expansion in paths_expansion_list: for p in paths_expansion.paths.dependencies: if (p not in path_seen): merged_paths.append(p) path_seen.add(p) return Paths(tuple(merged_paths))
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finalize and merge pathexpansion lists into paths .
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def DumpNodeToString(node): if isinstance(node, pytree.Leaf): fmt = '{name}({value}) [lineno={lineno}, column={column}, prefix={prefix}]' return fmt.format(name=NodeName(node), value=_PytreeNodeRepr(node), lineno=node.lineno, column=node.column, prefix=repr(node.prefix)) else: fmt = '{node} [{len} children] [ch...
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dump a string representation of the given node .
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def string_to_bool(string): return STRING_BOOLS[string.strip().lower()]
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convert a string to a bool based .
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def func_is_3d(in_file): if isinstance(in_file, list): return func_is_3d(in_file[0]) else: img = load(in_file) shape = img.shape if ((len(shape) == 3) or ((len(shape) == 4) and (shape[3] == 1))): return True else: return False
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checks if input functional files are 3d .
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def set_stream_logger(name='boto3', level=logging.DEBUG, format_string=None): if (format_string is None): format_string = '%(asctime)s %(name)s [%(levelname)s] %(message)s' logger = logging.getLogger(name) logger.setLevel(level) handler = logging.StreamHandler() handler.setLevel(level) formatter = logging.Forma...
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add a stream handler for the given name and level to the logging module .
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def humanBitRate(size): return ''.join((humanBitSize(size), '/sec'))
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convert a bit rate to human classic representation .
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def _find_set_members(set): cmd = '{0} list {1}'.format(_ipset_cmd(), set) out = __salt__['cmd.run_all'](cmd, python_shell=False) if (out['retcode'] > 0): return False _tmp = out['stdout'].split('\n') members = [] startMembers = False for i in _tmp: if startMembers: members.append(i) if ('Members:' in i...
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return list of members for a set .
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def deactivate_mfa_device(user_name, serial, region=None, key=None, keyid=None, profile=None): user = get_user(user_name, region, key, keyid, profile) if (not user): msg = 'Username {0} does not exist' log.error(msg.format(user_name)) return False conn = _get_conn(region=region, key=key, keyid=keyid, profile=p...
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deactivates the specified mfa device and removes it from association with the user .
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def label_folder_absent(name, node=None, apiserver=None): ret = __salt__['k8s.folder_absent'](name, node, apiserver) return ret
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ensure the label folder doesnt exist on the kube node .
train
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def convert_nb(src, dst, to='html', template_file='basic'): from nbconvert import HTMLExporter, RSTExporter dispatch = {'rst': RSTExporter, 'html': HTMLExporter} exporter = dispatch[to.lower()](template_file=template_file) (body, resources) = exporter.from_filename(src) with io.open(dst, 'wt', encoding='utf-8') as...
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convert a notebook src .
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def test_cd_prefix(): some_path = '~/somepath' with cd(some_path): command_out = _prefix_commands('foo', 'remote') eq_(command_out, ('cd %s >/dev/null && foo' % some_path))
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cd prefix should direct output to /dev/null in case of cdpath .
train
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@pytest.mark.parametrize('text, deleted, rest', [('delete this| test', 'delete this', '| test'), fixme(('delete <this> test', 'delete this', '| test')), ('delete <this> test', 'delete ', '|this test'), fixme(('f<oo>bar', 'foo', '|bar')), ('f<oo>bar', 'f', '|oobar')]) def test_rl_unix_line_discard(lineedit, bridge, text...
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delete from the cursor to the beginning of the line and yank back .
train
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def _writeFlattenedData(state, write, result): while True: try: element = next(state) except StopIteration: result.callback(None) except: result.errback() else: def cby(original): _writeFlattenedData(state, write, result) return original element.addCallbacks(cby, result.errback) break
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take strings from an iterator and pass them to a writer function .
train
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def _write_string(f, s): binmode = fileobj_is_binary(f) if (binmode and isinstance(s, text_type)): s = encode_ascii(s) elif ((not binmode) and (not isinstance(f, text_type))): s = decode_ascii(s) elif (isinstance(f, StringIO) and isinstance(s, np.ndarray)): s = s.data f.write(s)
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write a string to a file .
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def libvlc_media_new_fd(p_instance, fd): f = (_Cfunctions.get('libvlc_media_new_fd', None) or _Cfunction('libvlc_media_new_fd', ((1,), (1,)), class_result(Media), ctypes.c_void_p, Instance, ctypes.c_int)) return f(p_instance, fd)
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create a media for an already open file descriptor .
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def _get_metadata_for_region(region_code): country_calling_code = country_code_for_region(region_code) main_country = region_code_for_country_code(country_calling_code) return PhoneMetadata.metadata_for_region(main_country, _EMPTY_METADATA)
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the metadata needed by this class is the same for all regions sharing the same country calling code .
train
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def fetch_things_with_retry(query, chunk_size=100, batch_fn=None, chunks=False, retry_min_wait_ms=500, max_retries=0): assert query._sort, 'you must specify the sort order in your query!' retrier = functools.partial(exponential_retrier, retry_min_wait_ms=retry_min_wait_ms, max_retries=max_retries) orig_rules = deepc...
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incrementally run query with a limit of chunk_size until there are no results left .
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def create_assigned_tax_class(name, rates_to_assign): tax_class = TaxClass.objects.create(name=(u'TC-%s' % name)) for (n, tax_rate) in enumerate(rates_to_assign, 1): tax_name = ((u'Tax-%s' % name) if (len(rates_to_assign) == 1) else (u'Tax-%s-%d' % (name, n))) tax = Tax.objects.create(rate=tax_rate, name=tax_name...
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create a tax class and assign taxes for it with tax rules .
train
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def _parse_btrfs_info(data): ret = {} for line in [line for line in data.split('\n') if line][:(-1)]: if line.startswith('Label:'): line = re.sub('Label:\\s+', '', line) (label, uuid_) = [tkn.strip() for tkn in line.split('uuid:')] ret['label'] = (((label != 'none') and label) or None) ret['uuid'] = uui...
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parse btrfs device info data .
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def _eventlet_serve(sock, handle, concurrency): pool = eventlet.greenpool.GreenPool(concurrency) server_gt = eventlet.greenthread.getcurrent() while True: try: (conn, addr) = sock.accept() gt = pool.spawn(handle, conn, addr) gt.link(_eventlet_stop, server_gt, conn) (conn, addr, gt) = (None, None, None)...
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serve requests forever .
train
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def check_random_state(seed): if ((seed is None) or (seed is np.random)): return np.random.mtrand._rand if isinstance(seed, (int, np.integer)): return np.random.RandomState(seed) if isinstance(seed, np.random.RandomState): return seed raise ValueError(('%r cannot be used to seed a numpy.random.RandomState ins...
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turn seed into a np .
train
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def track_distance(item, info): from beets.autotag.hooks import Distance dist = Distance() for plugin in find_plugins(): dist.update(plugin.track_distance(item, info)) return dist
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determines the significance of a track metadata change .
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def flatten_scalar(e): if isinstance(e, Matrix): if (e.shape == (1, 1)): e = e[0] if isinstance(e, (numpy_ndarray, scipy_sparse_matrix)): if (e.shape == (1, 1)): e = complex(e[(0, 0)]) return e
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flatten a 1x1 matrix to a scalar .
train
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def test_basics(): import_file_to_module('basic', 'tests/resources/importer/basic.hy')
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make sure the basics of the importer work .
train
false
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def is_api_view(callback): cls = getattr(callback, 'cls', None) return ((cls is not None) and issubclass(cls, APIView))
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return true if the given view callback is a rest framework view/viewset .
train
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def binary_concept(label, closures, subj, obj, records): if ((not (label == u'border')) and (not (label == u'contain'))): label = (label + u'_of') c = Concept(label, arity=2, closures=closures, extension=set()) for record in records: c.augment((record[subj], record[obj])) c.close() return c
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make a binary concept out of the primary key and another field in a record .
train
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@utils.arg('server', metavar='<server>', help=_('Name or ID of server.')) @utils.arg('network_id', metavar='<network-id>', help=_('Network ID.')) def do_add_fixed_ip(cs, args): server = _find_server(cs, args.server) server.add_fixed_ip(args.network_id)
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add new ip address on a network to server .
train
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def get_vm_ref_from_name(session, vm_name): vms = session._call_method(vim_util, 'get_objects', 'VirtualMachine', ['name']) for vm in vms: if (vm.propSet[0].val == vm_name): return vm.obj return None
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get reference to the vm with the name specified .
train
false
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def get_affected_files(allow_limited=True): diff_base = None if in_travis(): if in_travis_pr(): diff_base = travis_branch() else: diff_base = local_diff_branch() if ((diff_base is not None) and allow_limited): result = subprocess.check_output(['git', 'diff', '--name-only', diff_base]) print(('Using files...
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gets a list of files in the repository .
train
false
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def send_messages(connection, topic, input): while True: try: body = pickle.load(input) except EOFError: break print ('%s: %s' % (body.get('timestamp'), body.get('event_type', 'unknown event'))) connection.topic_send(topic, body)
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sends a a bunch of emailmessages .
train
false
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def phrase_text_for_head(tokens, text, head_index): (begin, end) = phrase_extent_for_head(tokens, head_index) return text[begin:end]
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returns the entire phrase containing the head token and its dependents .
train
false
24,294
def add_task(name, timespec, user, command, environment=None): if (environment is None): environment = {} lines = [] for (key, value) in environment.iteritems(): lines.append(('%(key)s=%(value)s\n' % locals())) lines.append(('%(timespec)s %(user)s %(command)s\n' % locals())) from fabtools.require.files import ...
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add a cron task .
train
false
24,295
def parse_rgb(args, alpha): types = [arg.type for arg in args] if (types == [u'INTEGER', u'INTEGER', u'INTEGER']): (r, g, b) = [(arg.value / 255) for arg in args[:3]] return RGBA(r, g, b, alpha) elif (types == [u'PERCENTAGE', u'PERCENTAGE', u'PERCENTAGE']): (r, g, b) = [(arg.value / 100) for arg in args[:3]] ...
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if args is a list of 3 integer tokens or 3 percentage tokens .
train
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def range2nets(rng): (start, stop) = rng if (type(start) is str): start = ip2int(start) if (type(stop) is str): stop = ip2int(stop) if (stop < start): raise ValueError() res = [] cur = start maskint = 32 mask = int2mask(maskint) while True: while (((cur & mask) == cur) and ((cur | ((~ mask) & 429496729...
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converts a tuple to a list of networks .
train
false
24,297
@register.tag(name=u'form_field') def do_form_field(parser, token): parts = token.contents.split(u' ', 2) if (len(parts) < 2): raise template.TemplateSyntaxError((u'%r tag must have the form field name as the first value, followed by optional key="value" attributes.' % parts[0])) html_attrs = {} if (len(parts) ==...
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render a wtforms form field allowing optional html attributes .
train
false
24,299
def _admx_policy_parent_walk(path, policy_namespace, parent_category, policy_nsmap, admx_policy_definitions, return_full_policy_names, adml_policy_resources): category_xpath_string = '/policyDefinitions/categories/{0}:category[@name="{1}"]' using_xpath_string = '/policyDefinitions/policyNamespaces/{0}:using' if (par...
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helper function to recursively walk up the admx namespaces and build the hierarchy for the policy .
train
false
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def is_column_based(fname, sep=' DCTB ', skip=0, is_multi_byte=False): headers = get_headers(fname, sep, is_multi_byte=is_multi_byte) count = 0 if (not headers): return False for hdr in headers[skip:]: if (hdr and hdr[0] and (not hdr[0].startswith('#'))): if (len(hdr) > 1): count = len(hdr) break if ...
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see if the file is column based with respect to a separator .
train
false
24,302
@register.simple_tag def bootstrap_icon(icon, **kwargs): return render_icon(icon, **kwargs)
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render an icon **tag name**:: bootstrap_icon **parameters**: icon icon name .
train
false
24,303
def _get_child_as(parent, tag, construct): child = parent.find(_ns(tag)) if (child is not None): return construct(child)
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find a child node by tag .
train
false
24,304
def _get_default_annual_spacing(nyears): if (nyears < 11): (min_spacing, maj_spacing) = (1, 1) elif (nyears < 20): (min_spacing, maj_spacing) = (1, 2) elif (nyears < 50): (min_spacing, maj_spacing) = (1, 5) elif (nyears < 100): (min_spacing, maj_spacing) = (5, 10) elif (nyears < 200): (min_spacing, maj_s...
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returns a default spacing between consecutive ticks for annual data .
train
true
24,305
def get_snippet_model_from_url_params(app_name, model_name): try: model = apps.get_model(app_name, model_name) except LookupError: raise Http404 if (model not in get_snippet_models()): raise Http404 return model
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retrieve a model from an app_label / model_name combo .
train
false