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2 classes
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def load_all_models(): s3db.load_all_models() return 'ok'
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controller to load all models in web browser - to make it easy to debug in eclipse .
train
false
34,172
def p_statement_assign_2(t): names[t[1]] = t[3]
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statement : name equals number .
train
false
34,173
def isString(s): try: return (isinstance(s, unicode) or isintance(s, basestring)) except NameError: return isinstance(s, str)
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convenience method that works with all 2 .
train
true
34,174
def mock_factory(r): mocked = mock_obj_to_dict(r) mocked.configure_mock(**r) return mocked
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mocks all the attributes as well as the to_dict .
train
false
34,175
def getlogin(): if (sys.platform != 'win32'): import pwd return pwd.getpwuid(os.getuid())[0] else: return os.environ['USERNAME']
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avoid using os .
train
false
34,180
def updating(name, jail=None, chroot=None, root=None, filedate=None, filename=None): opts = '' if filedate: opts += 'd {0}'.format(filedate) if filename: opts += 'f {0}'.format(filename) cmd = _pkg(jail, chroot, root) cmd.append('updating') if opts: cmd.append(('-' + opts)) cmd.append(name) return __salt_...
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displays updating entries of software packages cli example: .
train
true
34,181
def migrate_node(node): for (key, file_id) in node.files_current.iteritems(): if (key not in node.files_versions): node.files_versions[key] = [file_id] elif (file_id not in node.files_versions[key]): node.files_versions[key].append(file_id) node.save()
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ensure that all keys present in files_current are also present in files_versions .
train
false
34,183
def _accumulate_normals(tris, tri_nn, npts): nn = np.zeros((npts, 3)) for verts in tris.T: for idx in range(3): nn[:, idx] += np.bincount(verts, weights=tri_nn[:, idx], minlength=npts) return nn
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efficiently accumulate triangle normals .
train
false
34,185
def get_neg_detection_mode(): raise NotImplementedError('TODO: implement this function.')
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returns a theano mode that detects if any negative value occurs in the evaluation of a theano function .
train
false
34,187
def test_cat_to_polor(test_data, polar_cats): level_0 = len(test_data.auto_data[['cyl']].drop_duplicates()) level_1 = len(test_data.auto_data[['cyl', 'origin']].drop_duplicates()) num_groups = (level_0 + level_1) assert (len(polar_cats) == num_groups)
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check known example for how many rows should exist based on columns .
train
false
34,188
def deploy_index(): response = current.response def prep(r): default_url = URL(f='mission', args='summary', vars={}) return current.s3db.cms_documentation(r, 'RDRT', default_url) response.s3.prep = prep output = current.rest_controller('cms', 'post') view = path.join(current.request.folder, 'modules', 'templat...
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custom module homepage for deploy to display online documentation for the module .
train
false
34,189
def ofs_nbits(start, end): return ((start << 6) + (end - start))
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the utility method for ofs_nbits this method is used in the class to set the ofs_nbits .
train
false
34,190
def appstats_wsgi_middleware(app): def appstats_wsgi_wrapper(environ, start_response): 'Outer wrapper function around the WSGI protocol.\n\n The top-level appstats_wsgi_middleware() function returns this\n function to the caller instead of the app class or function passed\n in. When the caller calls this f...
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wsgi middleware to install the instrumentation .
train
false
34,191
def recommend_for_user(user): return recommend_for_brands(brandsfor.get(user, set()))
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get a users brands and recommend based on them .
train
false
34,192
def dictify(entries): result = {} for entry in entries: result[entry.path] = entry.weight return result
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converts a list of entries into a dictionary where key = path value = weight .
train
false
34,193
def _ParseManifestSection(section, jar_file_name): section = section.replace('\n ', '').rstrip('\n') if (not section): return {} try: return dict((line.split(': ', 1) for line in section.split('\n'))) except ValueError: raise InvalidJarError(('%s: Invalid manifest %r' % (jar_file_name, section)))
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parse a dict out of the given manifest section string .
train
false
34,196
def as2d(ar): if (ar.ndim == 2): return ar else: aux = np.array(ar, copy=False) aux.shape = (ar.shape[0], 1) return aux
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if the input array is 2d return it .
train
false
34,197
def add_instance_type_access(flavorid, projectid, ctxt=None): if (ctxt is None): ctxt = context.get_admin_context() return db.instance_type_access_add(ctxt, flavorid, projectid)
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add instance type access for project .
train
false
34,198
def format_labels_string(header, labels): if (header in SPACE_SEPARATED_LABEL_HEADERS): sep = ' ' else: sep = ',' return sep.join(labels)
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formats labels for embedding into a message .
train
false
34,200
def import_no_virt_driver_config_deps(physical_line, filename): thisdriver = _get_virt_name(virt_file_re, filename) thatdriver = _get_virt_name(virt_config_re, physical_line) if ((thatdriver is not None) and (thisdriver is not None) and (thisdriver != thatdriver)): return (0, 'N312: using config vars from other vi...
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check virt drivers config vars arent used by other drivers modules under each virt drivers directory are considered private to that virt driver .
train
false
34,201
def text_remove_empty_lines(text): lines = [line.rstrip() for line in text.splitlines() if line.strip()] return '\n'.join(lines)
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whitespace normalization: - strip empty lines - strip trailing whitespace .
train
true
34,202
def normalize_mode(mode): if (mode is None): return None if (not isinstance(mode, six.string_types)): mode = str(mode) return mode.strip('"').strip("'").lstrip('0').zfill(4)
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return a mode value .
train
false
34,203
def get_programs_credentials(user): programs_credentials = get_user_program_credentials(user) credentials_data = [] for program in programs_credentials: try: program_data = {u'display_name': program[u'title'], u'subtitle': program[u'subtitle'], u'credential_url': program[u'credential_url']} credentials_data....
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return program credentials data required for display .
train
false
34,204
def _fix_user_options(options): def to_str_or_none(x): if (x is None): return None return str(x) return [tuple((to_str_or_none(x) for x in y)) for y in options]
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this is for python 2 .
train
false
34,205
def unload_metadefs(): return get_backend().db_unload_metadefs(engine=db_api.get_engine())
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unload metadefinitions from database .
train
false
34,206
def vt_get_volume_type_by_name(context, name): if (name == fake_vt['name']): return fake_vt raise exception.VolumeTypeNotFoundByName(volume_type_name=name)
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replacement for cinder .
train
false
34,207
def getDisplayedDialogFromPath(path): pluginModule = archive.getModuleWithPath(path) if (pluginModule == None): return None return getDisplayedDialogFromConstructor(pluginModule.getNewRepository())
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display the repository dialog .
train
false
34,208
def setTracebackClearing(clear=True): global clear_tracebacks clear_tracebacks = clear
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enable or disable traceback clearing .
train
false
34,209
def get_arg_spec(func, debug=True): (allargs, varargs, keywords, defaults) = inspect.getargspec(func) if ('self' in allargs): allargs.remove('self') nargs = len(allargs) ndefaults = 0 if defaults: ndefaults = len(defaults) nrequired = (nargs - ndefaults) args = allargs[:nrequired] kwargs = allargs[nrequired...
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convenience wrapper around inspect .
train
false
34,211
def easyxf(strg_to_parse='', num_format_str=None, field_sep=',', line_sep=';', intro_sep=':', esc_char='\\', debug=False): xfobj = XFStyle() if (num_format_str is not None): xfobj.num_format_str = num_format_str if strg_to_parse: _parse_strg_to_obj(strg_to_parse, xfobj, xf_dict, field_sep=field_sep, line_sep=lin...
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this function is used to create and configure :class:xfstyle objects for use with the :meth:worksheet .
train
false
34,212
def decode_image_data(data): try: return data.split(',')[1].decode('base64') except (IndexError, UnicodeEncodeError): log.exception('Could not decode image data') raise InvalidImageData
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decode base64-encoded image data .
train
false
34,213
def libvlc_video_set_track(p_mi, i_track): f = (_Cfunctions.get('libvlc_video_set_track', None) or _Cfunction('libvlc_video_set_track', ((1,), (1,)), None, ctypes.c_int, MediaPlayer, ctypes.c_int)) return f(p_mi, i_track)
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set video track .
train
true
34,214
def _removeReceiver(receiver): if (not sendersBack): return False backKey = id(receiver) for senderkey in sendersBack.get(backKey, ()): try: signals = connections[senderkey].keys() except KeyError as err: pass else: for signal in signals: try: receivers = connections[senderkey][signal] ...
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remove receiver from connections .
train
false
34,215
def list_returner_functions(*args, **kwargs): returners_ = salt.loader.returners(__opts__, []) if (not args): return sorted(returners_) names = set() for module in args: if (('*' in module) or ('.' in module)): for func in fnmatch.filter(returners_, module): names.add(func) else: moduledot = (module...
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list the functions for all returner modules .
train
true
34,216
def start_event_loop_wx(app=None): if (app is None): app = get_app_wx() if (not is_event_loop_running_wx(app)): app._in_event_loop = True app.MainLoop() app._in_event_loop = False else: app._in_event_loop = True
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start the wx event loop in a consistent manner .
train
true
34,217
def _check_dipole(dip, n_dipoles): assert_equal(len(dip), n_dipoles) assert_equal(dip.pos.shape, (n_dipoles, 3)) assert_equal(dip.ori.shape, (n_dipoles, 3)) assert_equal(dip.gof.shape, (n_dipoles,)) assert_equal(dip.amplitude.shape, (n_dipoles,))
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check dipole sizes .
train
false
34,218
def get_readable_ctx_date(ctx): (t, tz) = ctx.date() date = datetime(*gmtime((float(t) - tz))[:6]) ctx_date = date.strftime('%Y-%m-%d') return ctx_date
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convert the date of the changeset to a human-readable date .
train
false
34,219
def free_slave(**connection_args): slave_db = _connect(**connection_args) if (slave_db is None): return '' slave_cur = slave_db.cursor(MySQLdb.cursors.DictCursor) slave_cur.execute('show slave status') slave_status = slave_cur.fetchone() master = {'host': slave_status['Master_Host']} try: master_db = _connec...
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frees a slave from its master .
train
true
34,220
def get_network_device(hardware_devices, mac_address): if (hardware_devices.__class__.__name__ == 'ArrayOfVirtualDevice'): hardware_devices = hardware_devices.VirtualDevice for device in hardware_devices: if (device.__class__.__name__ in vm_util.ALL_SUPPORTED_NETWORK_DEVICES): if hasattr(device, 'macAddress'):...
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return the network device with mac mac_address .
train
false
34,221
def cached_download(url): cache_root = os.path.join(_dataset_root, '_dl_cache') try: os.makedirs(cache_root) except OSError: if (not os.path.exists(cache_root)): raise RuntimeError('cannot create download cache directory') lock_path = os.path.join(cache_root, '_dl_lock') urlhash = hashlib.md5(url.encode('ut...
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downloads a file and caches it .
train
false
34,222
def _volume_get(context, volume_id): return TEST_VOLUME[int(volume_id.replace('-', ''))]
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return predefined volume info .
train
false
34,223
def sorted_dict(data): if (type(data) == OrderedDict): data = dict(data) if (type(data) == dict): data = OrderedDict(sorted(data.items(), key=(lambda t: t[0]))) elif (type(data) == list): for count in range(len(data)): data[count] = OrderedDict(sorted(data[count].items(), key=(lambda t: t[0]))) return data...
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sorts a json and returns ordereddict .
train
false
34,224
def show_conf(conf_file=default_conf): return _parse_conf(conf_file)
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show parsed configuration cli example: .
train
false
34,225
def discrete_attributes(domain): return [attr for attr in (domain.variables + domain.metas) if attr.is_discrete]
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return all discrete attributes from the domain .
train
false
34,226
def assert_ok_response(response): nose.tools.assert_true(200, response.status_code) return response
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checks that the response returned successfully .
train
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@xmlrpc_func(returns='struct[]', args=['string', 'string', 'string']) def get_categories(blog_id, username, password): authenticate(username, password) site = Site.objects.get_current() return [category_structure(category, site) for category in Category.objects.all()]
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return the published categories .
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def _check_density(density, n_features): if (density == 'auto'): density = (1 / np.sqrt(n_features)) elif ((density <= 0) or (density > 1)): raise ValueError(('Expected density in range ]0, 1], got: %r' % density)) return density
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factorize density check according to li et al .
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def get_input_format_for_book(db, book_id, pref): if (pref is None): pref = get_preferred_input_format_for_book(db, book_id) if hasattr(pref, 'lower'): pref = pref.lower() input_formats = get_supported_input_formats_for_book(db, book_id) input_format = (pref if (pref in input_formats) else sort_formats_by_prefe...
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return for the book identified by book_id .
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def run_group_significance_test(data_generator, test, test_choices, reps=1000): (pvals, test_stats, means) = ([], [], []) for row in data_generator: if (test == 'nonparametric_t_test'): (test_stat, _, _, pval) = test_choices[test](row[0], row[1], permutations=reps) elif (test == 'bootstrap_mann_whitney_u'): ...
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run any of the group significance tests .
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def test_serie_precedence_over_global_config(): chart = Line(stroke=False) chart.add('1', s1, stroke=True) chart.add('2', s2) q = chart.render_pyquery() assert (len(q('.serie-0 .line')) == 1) assert (len(q('.serie-1 .line')) == 0) assert (len(q('.serie-0 .dot')) == 5) assert (len(q('.serie-1 .dot')) == 6)
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test that per serie configuration overide global configuration .
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def check_action_access_permission(view_func): def decorate(request, *args, **kwargs): action_id = kwargs.get('action') action = Node.objects.get(id=action_id).get_full_node() Job.objects.can_read_or_exception(request, action.workflow.id) kwargs['action'] = action return view_func(request, *args, **kwargs) ...
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decorator ensuring that the user has access to the workflow action .
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def CAN_DELETE(article, user): return _is_staff_for_article(article, user)
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is user allowed to soft-delete article? .
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def process_text(text, dic, r, grams): X = lil_matrix((len(text), len(dic))) for (i, l) in enumerate(text): tokens = tokenize(l, grams) indexes = [] for t in tokens: try: indexes += [dic[t]] except KeyError: pass indexes = list(set(indexes)) indexes.sort() for j in indexes: X[(i, j)] = r[...
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return sparse feature matrix .
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def ynp_zeros(n, nt): return jnyn_zeros(n, nt)[3]
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compute zeros of integer-order bessel function derivative yn(x) .
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def make_field_formatter(attr, filters=None): filter_ = None if filters: filter_ = filters.get(attr) def get_field(obj): field = getattr(obj, attr, '') if (field and filter_): field = filter_(field) return field name = _format_field_name(attr) formatter = get_field return (name, formatter)
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given an object attribute .
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def set_permission_cache(user, key, value): from django.core.cache import cache cache_key = get_cache_key(user, key) cache.set(cache_key, value, get_cms_setting('CACHE_DURATIONS')['permissions'], version=get_cache_permission_version())
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helper method for storing values in cache .
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def getGearPaths(derivation, pitchRadius, teeth, toothProfile): if (teeth < 0): return getGearProfileAnnulus(derivation, pitchRadius, teeth, toothProfile) if (teeth == 0): return [getGearProfileRack(derivation, toothProfile)] return [getGearProfileCylinder(teeth, toothProfile)]
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get gear paths .
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def set_remote_branch(git_path, module, dest, remote, version, depth): branchref = ('+refs/heads/%s:refs/heads/%s' % (version, version)) branchref += (' +refs/heads/%s:refs/remotes/%s/%s' % (version, remote, version)) cmd = ('%s fetch --depth=%s %s %s' % (git_path, depth, remote, branchref)) (rc, out, err) = module...
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set refs for the remote branch version this assumes the branch does not yet exist locally and is therefore also not checked out .
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def _nameToLabels(name): if (name in ('', '.')): return [''] labels = name.split('.') if (labels[(-1)] != ''): labels.append('') return labels
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split a domain name into its constituent labels .
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def plugin_is_enabled(name, runas=None): if ((runas is None) and (not salt.utils.is_windows())): runas = salt.utils.get_user() return (name in list_enabled_plugins(runas))
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return whether the plugin is enabled .
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def ma_rep(coefs, maxn=10): (p, k, k) = coefs.shape phis = np.zeros(((maxn + 1), k, k)) phis[0] = np.eye(k) for i in range(1, (maxn + 1)): for j in range(1, (i + 1)): if (j > p): break phis[i] += np.dot(phis[(i - j)], coefs[(j - 1)]) return phis
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ma representation of var(p) process parameters coefs : ndarray maxn : int number of ma matrices to compute notes var(p) process as .
train
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def has_duplicates(l): return (len(set(l)) < len(l))
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returns true if l has any duplicates .
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def getLineDictionary(line): lineDictionary = {} splitLine = line.split(' DCTB ') for splitLineIndex in xrange(len(splitLine)): word = splitLine[splitLineIndex] if (word != ''): lineDictionary[splitLineIndex] = word return lineDictionary
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get the line dictionary .
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def camel_case_to_spaces(value): return re_camel_case.sub(' \\1', value).strip().lower()
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splits camelcase and converts to lower case .
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@frappe.whitelist() def get_variant(template, args, variant=None): if isinstance(args, basestring): args = json.loads(args) if (not args): frappe.throw(_(u'Please specify at least one attribute in the Attributes table')) return find_variant(template, args, variant)
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validates attributes and their values .
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def convert_template(template): template['annotated_body'] = html4annotation(template['annotated_body'], template['url'], proxy_resources=True)
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converts the template annotated body for being used in the ui .
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def getInitVersion(pkgroot): path = os.getcwd() initfile = os.path.join(path, pkgroot, '__init__.py') init = open(initfile).read() m = re.search('__version__ = (\\S+)\\n', init) if ((m is None) or (len(m.groups()) != 1)): raise Exception(("Cannot determine __version__ from init file: '%s'!" % initfile)) version...
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return the version string defined in __init__ .
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def _PadLabels2d(logits_size, labels): pad = (logits_size - tf.shape(labels)[1]) def _PadFn(): return tf.pad(labels, [[0, 0], [0, pad]]) def _SliceFn(): return tf.slice(labels, [0, 0], [(-1), logits_size]) return tf.cond(tf.greater(pad, 0), _PadFn, _SliceFn)
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pads or slices the 2nd dimension of 2-d labels to match logits_size .
train
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def _get_or_create_user_list(sailthru_client, list_name): sailthru_list_cache = cache.get(SAILTHRU_LIST_CACHE_KEY) is_cache_updated = False if (not sailthru_list_cache): sailthru_list_cache = _get_list_from_email_marketing_provider(sailthru_client) is_cache_updated = True sailthru_list = sailthru_list_cache.get...
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get list from sailthru and return if list_name exists else create a new one and return list data for all lists .
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def tagToKey(tag): keyAttr = tag.get('key') if keyAttr: if (tag.get('keytype') == 'int'): keyAttr = int(keyAttr) return keyAttr return tag.name
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return the name of the tag .
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def image_to_column(images, filter_shape, stride, padding): (n_images, n_channels, height, width) = images.shape (f_height, f_width) = filter_shape (out_height, out_width) = convoltuion_shape(height, width, (f_height, f_width), stride, padding) images = np.pad(images, ((0, 0), (0, 0), padding, padding), mode='const...
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rearrange image blocks into columns .
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def _organize_states_for_delete(base_mapper, states, uowtransaction): for (state, dict_, mapper, connection) in _connections_for_states(base_mapper, uowtransaction, states): mapper.dispatch.before_delete(mapper, connection, state) if (mapper.version_id_col is not None): update_version_id = mapper._get_committed...
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make an initial pass across a set of states for delete .
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def interlink_static_files(generator): if (generator.settings['STATIC_PATHS'] != []): return filenames = generator.context['filenames'] relpath = relpath_to_site(generator.settings['DEFAULT_LANG'], _MAIN_LANG) for staticfile in _MAIN_STATIC_FILES: if (staticfile.get_relative_source_path() not in filenames): ...
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add links to static files in the main site if necessary .
train
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def recover_all(lbn, profile='default'): ret = {} config = get_running(profile) try: workers_ = config['worker.{0}.balance_workers'.format(lbn)].split(',') except KeyError: return ret for worker in workers_: curr_state = worker_status(worker, profile) if (curr_state['activation'] != 'ACT'): worker_activ...
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set the all the workers in lbn to recover and activate them if they are not cli examples: .
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def plot_2D_boundary(plot_range, points, decisionfcn, labels, values=[0]): clist = ['b', 'r', 'g', 'k', 'm', 'y'] x = arange(plot_range[0], plot_range[1], 0.1) y = arange(plot_range[2], plot_range[3], 0.1) (xx, yy) = meshgrid(x, y) (xxx, yyy) = (xx.flatten(), yy.flatten()) zz = array(decisionfcn(xxx, yyy)) zz = ...
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plot_range is .
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def render_genshi_tmpl(tmplstr, context, tmplpath=None): method = context.get('method', 'xml') if ((method == 'text') or (method == 'newtext')): from genshi.template import NewTextTemplate tmpl = NewTextTemplate(tmplstr) elif (method == 'oldtext'): from genshi.template import OldTextTemplate tmpl = OldTextTe...
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render a genshi template .
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def get_net_iface(): internet_ip = get_local_ip() ifname = 'eth0' if (os.name == 'nt'): pass else: import fcntl import struct interfaces = ['eth0', 'eth1', 'eth2', 'wlan0', 'wlan1', 'wifi0', 'ath0', 'ath1', 'ppp0'] for ifname in interfaces: try: s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) ...
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this function is very os dependant .
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def add_ui_controllers(webapp, app): from galaxy.web.base.controller import BaseUIController import galaxy.webapps.reports.controllers controller_dir = galaxy.webapps.reports.controllers.__path__[0] for fname in os.listdir(controller_dir): if ((not fname.startswith('_')) and fname.endswith('.py')): name = fnam...
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search for controllers in the galaxy .
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def qualified_name(obj): if (obj.__name__ == '__builtin__'): return obj.__name__ else: return ('%s.%s' % (obj.__module__, obj.__name__))
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return a qualified name for obj .
train
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def _parse_openssh_output(lines): for line in lines: if line.startswith('#'): continue try: (hostname, enc, key) = line.split() except ValueError: continue fingerprint = _fingerprint(key) if (not fingerprint): continue (yield {'hostname': hostname, 'key': key, 'enc': enc, 'fingerprint': fingerp...
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helper function which parses ssh-keygen -f and ssh-keyscan function output and yield dict with keys information .
train
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def delete_logger(logger_name): logging_client = logging.Client() logger = logging_client.logger(logger_name) logger.delete() print 'Deleted all logging entries for {}'.format(logger.name)
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deletes a logger and all its entries .
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def mark_online(user_id, guest=False): now = int(time.time()) expires = ((now + (flaskbb_config['ONLINE_LAST_MINUTES'] * 60)) + 10) if guest: all_users_key = ('online-guests/%d' % (now // 60)) user_key = ('guest-activity/%s' % user_id) else: all_users_key = ('online-users/%d' % (now // 60)) user_key = ('use...
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marks a user as online .
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def _create_cbc_cipher(factory, **kwargs): cipher_state = factory._create_base_cipher(kwargs) iv = kwargs.pop('IV', None) IV = kwargs.pop('iv', None) if ((None, None) == (iv, IV)): iv = get_random_bytes(factory.block_size) if (iv is not None): if (IV is not None): raise TypeError("You must either use 'iv' o...
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instantiate a cipher object that performs cbc encryption/decryption .
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def clean_tmp(): import config def file_in_use(fname): in_use = False for proc in psutil.process_iter(): try: open_files = proc.open_files() in_use = (in_use or any([(open_file.path == fname) for open_file in open_files])) if in_use: break except psutil.NoSuchProcess: pass return in_u...
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cleanup the securedrop temp directory .
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@after.each_scenario def clear_alerts(_scenario): try: with world.browser.get_alert() as alert: alert.dismiss() except NoAlertPresentException: pass
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clear any alerts that might still exist .
train
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def log_helper(all=False, extra_args=None): revs = [] summaries = [] args = [] if extra_args: args = extra_args output = log(git, pretty=u'oneline', all=all, *args) for line in output.splitlines(): match = REV_LIST_REGEX.match(line) if match: revs.append(match.group(1)) summaries.append(match.group(2)...
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return parallel arrays containing oids and summaries .
train
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@permission_required('customercare.ban_account') def moderate(request): return render(request, 'customercare/moderate.html')
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moderate banned aoa twitter handles .
train
false
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@pytest.fixture def keyparser(): kp = basekeyparser.BaseKeyParser(0, supports_count=True, supports_chains=True) kp.execute = mock.Mock() (yield kp) assert (not kp._ambiguous_timer.isActive())
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fixture providing a basekeyparser supporting count/chains .
train
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def escapestr(text, ampm): new_text = re.escape(text) new_text = new_text.replace(re.escape(ampm), ampm) new_text = new_text.replace('\\%', '%') new_text = new_text.replace('\\:', ':') new_text = new_text.replace('\\?', '?') return new_text
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escape text to deal with possible locale values that have regex syntax while allowing regex syntax used for comparison .
train
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def delete_collection_summary(collection_id): collection_models.CollectionSummaryModel.get(collection_id).delete()
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delete a collection summary model .
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def find_hook(hook_name, hooks_dir='hooks'): logger.debug('hooks_dir is {}'.format(os.path.abspath(hooks_dir))) if (not os.path.isdir(hooks_dir)): logger.debug('No hooks/ dir in template_dir') return None for hook_file in os.listdir(hooks_dir): if valid_hook(hook_file, hook_name): return os.path.abspath(os....
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return a dict of all hook scripts provided .
train
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def cuda_shared_constructor(value, name=None, strict=False, allow_downcast=None, borrow=False, broadcastable=None, target='gpu'): if (target != 'gpu'): raise TypeError('not for gpu') if strict: _value = value else: _value = theano._asarray(value, dtype='float32') if (not isinstance(_value, numpy.ndarray)): ...
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sharedvariable constructor for cudandarraytype .
train
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def smooth_with_function_and_mask(image, function, mask): bleed_over = function(mask.astype(float)) masked_image = np.zeros(image.shape, image.dtype) masked_image[mask] = image[mask] smoothed_image = function(masked_image) output_image = (smoothed_image / (bleed_over + np.finfo(float).eps)) return output_image
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smooth an image with a linear function .
train
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34,291
def eqs_to_matrix(eqs, ring): xs = ring.gens M = zeros(len(eqs), (len(xs) + 1), cls=RawMatrix) for (j, e_j) in enumerate(eqs): for (i, x_i) in enumerate(xs): M[(j, i)] = e_j.coeff(x_i) M[(j, (-1))] = (- e_j.coeff(1)) return M
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transform from equations to matrix form .
train
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def buildSequencePool(numSequences=10, seqLen=[2, 3, 4], numPatterns=5, numOnBitsPerPattern=3, patternOverlap=0, **kwargs): patterns = getSimplePatterns(numOnBitsPerPattern, numPatterns, patternOverlap) numCols = len(patterns[0]) trainingSequences = [] for _ in xrange(numSequences): sequence = [] length = rando...
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create a bunch of sequences of various lengths .
train
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def read_and_write_file(json_file_path, csv_file_path, column_names): with open(csv_file_path, 'wb+') as fout: csv_file = csv.writer(fout) csv_file.writerow(list(column_names)) with open(json_file_path) as fin: for line in fin: line_contents = json.loads(line) csv_file.writerow(get_row(line_contents, ...
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read in the json dataset file and write it out to a csv file .
train
false
34,294
def _cull(potential, matches, verbose=0): for match in matches: if _samefile(potential[0], match[0]): if verbose: sys.stderr.write(('duplicate: %s (%s)\n' % potential)) return None else: if (not stat.S_ISREG(os.stat(potential[0]).st_mode)): if verbose: sys.stderr.write(('not a regular file: %s (%...
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cull inappropriate matches .
train
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def state_class_str(state): if (state is None): return 'None' else: return ('<%s>' % (state.class_.__name__,))
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return a string describing an instances class via its instancestate .
train
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def sharedX(value, name=None, borrow=False, dtype=None): if (dtype is None): dtype = theano.config.floatX return theano.shared(theano._asarray(value, dtype=dtype), name=name, borrow=borrow)
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transform value into a shared variable of type floatx parameters value : writeme name : writeme borrow : writeme dtype : str .
train
false
34,299
def TR7(rv): def f(rv): if (not (rv.is_Pow and (rv.base.func == cos) and (rv.exp == 2))): return rv return ((1 + cos((2 * rv.base.args[0]))) / 2) return bottom_up(rv, f)
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lowering the degree of cos(x)**2 examples .
train
false