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def append ( self , text ) : """Append line to the end"""
cursor = QTextCursor ( self . _doc ) cursor . movePosition ( QTextCursor . End ) cursor . insertBlock ( ) cursor . insertText ( text )
def eval_hessian ( self , * args , ** kwargs ) : """: return : Hessian evaluated at the specified point ."""
# Evaluate the hessian model and use the resulting Ans namedtuple as a # dict . From this , take the relevant components . eval_hess_dict = self . hessian_model ( * args , ** kwargs ) . _asdict ( ) hess = [ [ [ np . broadcast_to ( eval_hess_dict . get ( D ( var , p1 , p2 ) , 0 ) , eval_hess_dict [ var ] . shape ) for p...
def train ( self , dataset ) : r"""Train model with given feature . Parameters X : array - like , shape = ( n _ samples , n _ features ) Train feature vector . Y : array - like , shape = ( n _ samples , n _ labels ) Target labels . Attributes clfs \ _ : list of : py : mod : ` libact . models ` object ...
X , Y = dataset . format_sklearn ( ) X = np . array ( X ) Y = np . array ( Y ) self . n_labels_ = np . shape ( Y ) [ 1 ] self . n_features_ = np . shape ( X ) [ 1 ] self . clfs_ = [ ] for i in range ( self . n_labels_ ) : # TODO should we handle it here or we should handle it before calling if len ( np . unique ( Y...
def data_attrs ( mapitem ) : """Generate the data - . . . attributes for a mapitem ."""
data_attrs = { } try : data_attrs [ 'marker-detail-api-url' ] = reverse ( 'fluentcms-googlemaps-marker-detail' ) except NoReverseMatch : pass data_attrs . update ( mapitem . get_map_options ( ) ) return mark_safe ( u'' . join ( [ format_html ( u' data-{0}="{1}"' , k . replace ( '_' , '-' ) , _data_value ( v ) )...
def reference_to_greatcircle ( reference_frame , greatcircle_frame ) : """Convert a reference coordinate to a great circle frame ."""
# Define rotation matrices along the position angle vector , and # relative to the origin . pole = greatcircle_frame . pole . transform_to ( coord . ICRS ) ra0 = greatcircle_frame . ra0 center = greatcircle_frame . center R_rot = rotation_matrix ( greatcircle_frame . rotation , 'z' ) if not np . isnan ( ra0 ) : xax...
def decoratornames ( self ) : """Get the qualified names of each of the decorators on this function . : returns : The names of the decorators . : rtype : set ( str )"""
result = set ( ) decoratornodes = [ ] if self . decorators is not None : decoratornodes += self . decorators . nodes decoratornodes += self . extra_decorators for decnode in decoratornodes : try : for infnode in decnode . infer ( ) : result . add ( infnode . qname ( ) ) except exceptions...
def b64decode ( s , altchars = None , validate = False ) : """Decode bytes encoded with the standard Base64 alphabet . Argument ` ` s ` ` is a : term : ` bytes - like object ` or ASCII string to decode . Optional ` ` altchars ` ` must be a : term : ` bytes - like object ` or ASCII string of length 2 which s...
if version_info < ( 3 , 0 ) or validate : if validate and len ( s ) % 4 != 0 : raise BinAsciiError ( 'Incorrect padding' ) s = _get_bytes ( s ) if altchars is not None : altchars = _get_bytes ( altchars ) assert len ( altchars ) == 2 , repr ( altchars ) if version_info < ( 3 ...
def plot ( self ) : """plot the activation function"""
plt . ion ( ) plt . show ( ) x = numpy . linspace ( 0 , 15 , 100 ) y = numpy . zeros ( x . shape ) y = self . excite ( y , x ) plt . plot ( x , y ) plt . xlabel ( 'Input' ) plt . ylabel ( 'Persistence' ) plt . title ( 'Sigmoid Activation Function' )
def _populate ( self , soup ) : """Populate the list , assuming ` ` soup ` ` is a ` ` BeautifulSoup ` ` object ."""
tables = soup . select ( 'table[rules=all]' ) if not tables : return trs = tables [ 0 ] . select ( 'tr' ) [ 1 : ] if len ( trs [ 0 ] ) == 5 : # M1 self . _populate_small_table ( trs ) else : # M2 self . _populate_large_table ( trs )
def flattened ( self , order = None , include_smaller = True ) : """Return a flattened pixel collection at a single order ."""
if order is None : order = self . order else : order = self . _validate_order ( order ) # Start with the cells which are already at this order . flat = set ( self [ order ] ) # Look at lower orders and expand them into this set . # Based on the " map " algorithm from Appendix A of the # MOC recommendation . for...
def _fetch_url ( url ) : """Returns the content of the provided URL ."""
try : resp = urllib2 . urlopen ( _Request ( url ) ) except urllib2 . URLError : if 'wikileaks.org' in url : resp = urllib2 . urlopen ( _Request ( url . replace ( 'wikileaks.org' , 'wikileaks.ch' ) ) ) else : raise if resp . info ( ) . get ( 'Content-Encoding' ) == 'gzip' : return gzip . ...
def logger_init ( level ) : """Initialize the logger for this thread . Sets the log level to ERROR ( 0 ) , WARNING ( 1 ) , INFO ( 2 ) , or DEBUG ( 3 ) , depending on the argument ` level ` ."""
levellist = [ logging . ERROR , logging . WARNING , logging . INFO , logging . DEBUG ] handler = logging . StreamHandler ( ) fmt = ( '%(levelname) -10s %(asctime)s %(name) -30s %(funcName) ' '-35s %(lineno) -5d: %(message)s' ) handler . setFormatter ( logging . Formatter ( fmt ) ) logger = logging . root logger . addHa...
def ReadClientSnapshotHistory ( self , client_id , timerange = None , cursor = None ) : """Reads the full history for a particular client ."""
client_id_int = db_utils . ClientIDToInt ( client_id ) query = ( "SELECT sn.client_snapshot, st.startup_info, " " UNIX_TIMESTAMP(sn.timestamp) FROM " "client_snapshot_history AS sn, " "client_startup_history AS st WHERE " "sn.client_id = st.client_id AND " "sn.timestamp = st.timestamp AND " "sn.client_id=%s " ) a...
def get_redirect_link ( self ) : """Return the absolute URL to redirect or to open in a browser . The first time the link is used it logs in the user automatically and performs a redirect to a given page . Once used , the link keeps working as a plain redirect . : return : The user ' s redirect link . : r...
response = API . get_redirect_link ( self . api_token ) _fail_if_contains_errors ( response ) link_json = response . json ( ) return link_json [ 'link' ]
def check_directory ( self ) : """Check if migrations directory exists ."""
exists = os . path . exists ( self . directory ) if not exists : logger . error ( "No migrations directory found. Check your path or create a migration first." ) logger . error ( "Directory: %s" % self . directory ) return exists
def setShowTerritory ( self , state ) : """Sets the display mode for this widget to the inputed mode . : param state | < bool >"""
if state == self . _showTerritory : return self . _showTerritory = state self . setDirty ( )
def start ( self ) : """Start session ."""
conn = self . loop . create_connection ( lambda : self , self . session . host , self . session . port ) task = self . loop . create_task ( conn ) task . add_done_callback ( self . init_done )
def find_subpixel_peak_position ( corr , subpixel_method = 'gaussian' ) : """Find subpixel approximation of the correlation peak . This function returns a subpixels approximation of the correlation peak by using one of the several methods available . If requested , the function also returns the signal to nois...
# initialization default_peak_position = ( corr . shape [ 0 ] / 2 , corr . shape [ 1 ] / 2 ) # the peak locations peak1_i , peak1_j , dummy = find_first_peak ( corr ) try : # the peak and its neighbours : left , right , down , up c = corr [ peak1_i , peak1_j ] cl = corr [ peak1_i - 1 , peak1_j ] cr = corr [...
def _solve_msm_eigensystem ( transmat , k ) : """Find the dominant eigenpairs of an MSM transition matrix Parameters transmat : np . ndarray , shape = ( n _ states , n _ states ) The transition matrix k : int The number of eigenpairs to find . Notes Normalize the left ( : math : ` \ phi ` ) and right ...
u , lv , rv = scipy . linalg . eig ( transmat , left = True , right = True ) order = np . argsort ( - np . real ( u ) ) u = np . real_if_close ( u [ order [ : k ] ] ) lv = np . real_if_close ( lv [ : , order [ : k ] ] ) rv = np . real_if_close ( rv [ : , order [ : k ] ] ) return _normalize_eigensystem ( u , lv , rv )
def to_netcdf ( self , path = None , mode = 'w' , format = None , group = None , engine = None , encoding = None , unlimited_dims = None , compute = True ) : """Write dataset contents to a netCDF file . Parameters path : str , Path or file - like object , optional Path to which to save this dataset . File - l...
if encoding is None : encoding = { } from . . backends . api import to_netcdf return to_netcdf ( self , path , mode , format = format , group = group , engine = engine , encoding = encoding , unlimited_dims = unlimited_dims , compute = compute )
def _IsIdentifier ( cls , string ) : """Checks if a string contains an identifier . Args : string ( str ) : string to check . Returns : bool : True if the string contains an identifier , False otherwise ."""
return ( string and not string [ 0 ] . isdigit ( ) and all ( character . isalnum ( ) or character == '_' for character in string ) )
def system_config_dir ( ) : r"""Return the system - wide config dir ( full path ) . - Linux , SunOS : / etc / glances - * BSD , macOS : / usr / local / etc / glances - Windows : % APPDATA % \ glances"""
if LINUX or SUNOS : path = '/etc' elif BSD or MACOS : path = '/usr/local/etc' else : path = os . environ . get ( 'APPDATA' ) if path is None : path = '' else : path = os . path . join ( path , 'glances' ) return path
def tail ( self , n = 5 ) : """Return last n rows of each group . Essentially equivalent to ` ` . apply ( lambda x : x . tail ( n ) ) ` ` , except ignores as _ index flag . % ( see _ also ) s Examples > > > df = pd . DataFrame ( [ [ ' a ' , 1 ] , [ ' a ' , 2 ] , [ ' b ' , 1 ] , [ ' b ' , 2 ] ] , columns...
self . _reset_group_selection ( ) mask = self . _cumcount_array ( ascending = False ) < n return self . _selected_obj [ mask ]
def prepare_for_json_encoding ( obj ) : """Convert an arbitrary object into just JSON data types ( list , dict , unicode str , int , bool , null ) ."""
obj_type = type ( obj ) if obj_type == list or obj_type == tuple : return [ prepare_for_json_encoding ( item ) for item in obj ] if obj_type == dict : # alphabetizing keys lets us compare attributes for equality across runs return OrderedDict ( ( prepare_for_json_encoding ( k ) , prepare_for_json_encoding ( obj...
def WhereIs ( self , prog , path = None , pathext = None , reject = [ ] ) : """Find prog in the path ."""
if path is None : try : path = self [ 'ENV' ] [ 'PATH' ] except KeyError : pass elif SCons . Util . is_String ( path ) : path = self . subst ( path ) if pathext is None : try : pathext = self [ 'ENV' ] [ 'PATHEXT' ] except KeyError : pass elif SCons . Util . is_String...
def _raise_for_status ( response ) : '''Custom raise _ for _ status with more appropriate error message .'''
http_error_msg = "" if 400 <= response . status_code < 500 : http_error_msg = "{0} Client Error: {1}" . format ( response . status_code , response . reason ) elif 500 <= response . status_code < 600 : http_error_msg = "{0} Server Error: {1}" . format ( response . status_code , response . reason ) if http_error_...
def first_return_times ( dts , c = None , d = 0.0 ) : """For an ensemble of time series , return the set of all time intervals between successive returns to value c for all instances in the ensemble . If c is not given , the default is the mean across all times and across all time series in the ensemble . A...
if c is None : c = dts . mean ( ) vmrt = distob . vectorize ( analyses1 . first_return_times ) all_intervals = vmrt ( dts , c , d ) if hasattr ( type ( all_intervals ) , '__array_interface__' ) : return np . ravel ( all_intervals ) else : return np . hstack ( [ distob . gather ( ilist ) for ilist in all_int...
def compute_samples ( self ) : """Sample from a Normal distribution with inferred mu and std"""
eps = tf . random_normal ( [ self . batch_size , self . eq_samples , self . iw_samples , self . num_latent ] ) z = tf . reshape ( eps * self . std + self . mu , [ - 1 , self . num_latent ] ) return z
def set_bind ( self ) : """Sets key bindings - - we need this more than once"""
IntegerEntry . set_bind ( self ) self . bind ( '<Next>' , lambda e : self . set ( self . imin ) ) self . bind ( '<Prior>' , lambda e : self . set ( self . imax ) )
def lp10 ( self , subset_k , subset_p , weights = { } ) : """Force reactions in K above epsilon while minimizing support of P . This program forces reactions in subset K to attain flux > epsilon while minimizing the sum of absolute flux values for reactions in subset P ( L1 - regularization ) ."""
if self . _z is None : self . _add_minimization_vars ( ) positive = set ( subset_k ) - self . _flipped negative = set ( subset_k ) & self . _flipped v = self . _v . set ( positive ) cs = self . _prob . add_linear_constraints ( v >= self . _epsilon ) self . _temp_constr . extend ( cs ) v = self . _v . set ( negative...
def _run_initdb ( name , auth = 'password' , user = None , password = None , encoding = 'UTF8' , locale = None , runas = None , waldir = None , checksums = False ) : '''Helper function to call initdb'''
if runas is None : if 'FreeBSD' in __grains__ [ 'os_family' ] : runas = 'pgsql' elif 'OpenBSD' in __grains__ [ 'os_family' ] : runas = '_postgresql' else : runas = 'postgres' if user is None : user = runas _INITDB_BIN = _find_pg_binary ( 'initdb' ) if not _INITDB_BIN : raise ...
def init_uniform_ttable ( wordlist ) : """Initialize ( normalized ) theta uniformly"""
n = len ( wordlist ) return numpy . ones ( ( n , n + 1 ) ) * ( 1 / n )
def _get_devices_by_activation_state ( self , state ) : '''Get a list of bigips by activation statue . : param state : str - - state to filter the returned list of devices : returns : list - - list of devices that are in the given state'''
devices_with_state = [ ] for device in self . devices : act = device . tm . cm . devices . device . load ( name = get_device_info ( device ) . name , partition = self . partition ) if act . failoverState == state : devices_with_state . append ( device ) return devices_with_state
def disembowel ( rest ) : "Disembowel some ( one | thing ) !"
if rest : stabee = rest karma . Karma . store . change ( stabee , - 1 ) else : stabee = "someone nearby" return ( "/me takes %s, brings them down to the basement, ties them to a " "leaky pipe, and once bored of playing with them mercifully " "ritually disembowels them..." % stabee )
def build ( root , source_module , output_dir , json_dump = False , ignore_modules = None , index_filename = 'index' ) : '''Build markdown documentation from a directory and / or python module . # ignore _ modules : takes a list of module names to ignore # index _ filename : _ _ init _ _ . py output ( default i...
if root . endswith ( '/' ) : root = root [ : - 1 ] if ignore_modules is None : ignore_modules = [ ] elif isinstance ( ignore_modules , str ) : ignore_modules = ignore_modules . split ( ',' ) # Ensure output _ dir format ( no / at start , / at end ) if output_dir . startswith ( '/' ) : output_dir = outpu...
def EccZmaxRperiRap ( self , * args , ** kwargs ) : """NAME : EccZmaxRperiRap PURPOSE : evaluate the eccentricity , maximum height above the plane , peri - and apocenter INPUT : Either : a ) R , vR , vT , z , vz [ , phi ] : 1 ) floats : phase - space value for single object ( phi is optional ) ( each ...
try : return self . _EccZmaxRperiRap ( * args , ** kwargs ) except AttributeError : # pragma : no cover raise NotImplementedError ( "'EccZmaxRperiRap' method not implemented for this actionAngle module" )
def reporter ( self ) : """Creates a report of the results"""
# Create a set of all the gene names without alleles or accessions e . g . sul1_18 _ AY260546 becomes sul1 genedict = dict ( ) # Load the notes file to a dictionary notefile = os . path . join ( self . targetpath , 'notes.txt' ) with open ( notefile , 'r' ) as notes : for line in notes : # Ignore comment lines - th...
def fmt_ria ( ria , verbose = True , mip = False ) : """Format a | RepertoireIrreducibilityAnalysis | ."""
if verbose : mechanism = 'Mechanism: {}\n' . format ( fmt_mechanism ( ria . mechanism , ria . node_labels ) ) direction = '\nDirection: {}' . format ( ria . direction ) else : mechanism = '' direction = '' if config . REPR_VERBOSITY is HIGH : partition = '\n{}:\n{}' . format ( ( 'MIP' if mip else 'P...
def run_powerflow ( self , session , method = 'onthefly' , export_pypsa = False , debug = False ) : """Performs power flow calculation for all MV grids Args : session : sqlalchemy . orm . session . Session Database session method : str Specify export method If method = ' db ' grid data will be exported ...
if method == 'db' : # Empty tables pypsa_io . delete_powerflow_tables ( session ) for grid_district in self . mv_grid_districts ( ) : if export_pypsa : export_pypsa_dir = repr ( grid_district . mv_grid ) else : export_pypsa_dir = None grid_district . mv_grid . run...
def flush_and_refresh ( self , index ) : """Flush and refresh one or more indices . . . warning : : Do not call this method unless you know what you are doing . This method is only intended to be called during tests ."""
self . client . indices . flush ( wait_if_ongoing = True , index = index ) self . client . indices . refresh ( index = index ) self . client . cluster . health ( wait_for_status = 'yellow' , request_timeout = 30 ) return True
def dict_to_hdf5 ( dict_like , h5group ) : """Save a dictionnary - like object inside a h5 file group"""
# Write attributes for key , value in dict_like . items ( ) : if value is not None : h5group . attrs [ str ( key ) ] = value
def zero_mutable_fields ( pkt , sending = False ) : """When using AH , all " mutable " fields must be " zeroed " before calculating the ICV . See RFC 4302 , Section 3.3.3.1 . Handling Mutable Fields . @ param pkt : an IP ( v6 ) packet containing an AH layer . NOTE : The packet will be modified @ param sendi...
if pkt . haslayer ( AH ) : pkt [ AH ] . icv = chr ( 0 ) * len ( pkt [ AH ] . icv ) else : raise TypeError ( 'no AH layer found' ) if pkt . version == 4 : # the tos field has been replaced by DSCP and ECN # Routers may rewrite the DS field as needed to provide a # desired local or end - to - end service pkt ...
def _matcher ( self , other ) : """QueryCGRContainer < CGRContainer QueryContainer < QueryCGRContainer [ more general ]"""
if isinstance ( other , CGRContainer ) : return GraphMatcher ( other , self , lambda x , y : y == x , lambda x , y : y == x ) elif isinstance ( other , QueryCGRContainer ) : return GraphMatcher ( other , self , lambda x , y : x == y , lambda x , y : x == y ) raise TypeError ( 'only cgr_query-cgr or cgr_query-cg...
def create_changeset ( self , changeset , project = None ) : """CreateChangeset . Create a new changeset . : param : class : ` < TfvcChangeset > < azure . devops . v5_0 . tfvc . models . TfvcChangeset > ` changeset : : param str project : Project ID or project name : rtype : : class : ` < TfvcChangesetRef >...
route_values = { } if project is not None : route_values [ 'project' ] = self . _serialize . url ( 'project' , project , 'str' ) content = self . _serialize . body ( changeset , 'TfvcChangeset' ) response = self . _send ( http_method = 'POST' , location_id = '0bc8f0a4-6bfb-42a9-ba84-139da7b99c49' , version = '5.0' ...
def put_script ( self , id , body , context = None , params = None ) : """Create a script in given language with specified ID . ` < http : / / www . elastic . co / guide / en / elasticsearch / reference / current / modules - scripting . html > ` _ : arg id : Script ID : arg body : The document"""
for param in ( id , body ) : if param in SKIP_IN_PATH : raise ValueError ( "Empty value passed for a required argument." ) return self . transport . perform_request ( "PUT" , _make_path ( "_scripts" , id , context ) , params = params , body = body )
def write_quick ( self ) : """Send only the read / write bit"""
self . bus . write_quick ( self . address ) self . log . debug ( "write_quick: Sent the read / write bit" )
def isclose ( a , b , rtol = 1e-5 , atol = 1e-8 ) : """This is essentially np . isclose , but slightly faster ."""
return abs ( a - b ) < ( atol + rtol * abs ( b ) )
def _get_global_include_abs_path ( self , path ) : """Get a value after converting to absolute path . Becoming different from other parameter , validation of ` include ` parameter is complex . Before other validation ( at first ) this method is called to merge to one configuration . : param str path : You...
if not os . path . isabs ( path ) : path = os . path . abspath ( path ) if os . path . isdir ( path ) or path . endswith ( '/' ) : path = os . path . join ( path , '*' ) return path
def create_blacklist_entry ( self , value , reason = "unwanted" , context = "allFields" , exact_match = False , enabled = True ) : """Creates a new blacklist entry . Keyword arguments : value - - The string value to blacklist . reason - - The reason for why the value is blacklisted . Can be : " spam " , " unw...
create_blacklist_endpoint = Template ( "${rest_root}/blacklist/${public_key}" ) url = create_blacklist_endpoint . substitute ( rest_root = self . _rest_root , public_key = self . _public_key ) data = { "value" : value , "reason" : reason , "context" : context , "match" : "exact" if exact_match else "contains" , "status...
def check_redundancy ( text ) : """Check the text ."""
err = "dates_times.am_pm.midnight_noon" msg = ( u"'a.m.' is always morning; 'p.m.' is always night." ) list = [ "\d{1,2} ?a\.?m\.? in the morning" , "\d{1,2} ?p\.?m\.? in the evening" , "\d{1,2} ?p\.?m\.? at night" , "\d{1,2} ?p\.?m\.? in the afternoon" , ] return existence_check ( text , list , err , msg , join = True...
def normalized_distance ( self , * sequences ) : """Get distance from 0 to 1"""
return float ( self . distance ( * sequences ) ) / self . maximum ( * sequences )
def _pil_props ( self ) : """A tuple containing useful image properties extracted from this image using Pillow ( Python Imaging Library , or ' PIL ' ) ."""
stream = BytesIO ( self . _blob ) pil_image = PIL_Image . open ( stream ) format = pil_image . format width_px , height_px = pil_image . size dpi = pil_image . info . get ( 'dpi' ) stream . close ( ) return ( format , ( width_px , height_px ) , dpi )
async def set_chat_title ( self , chat_id : typing . Union [ base . Integer , base . String ] , title : base . String ) -> base . Boolean : """Use this method to change the title of a chat . Titles can ' t be changed for private chats . The bot must be an administrator in the chat for this to work and must have t...
payload = generate_payload ( ** locals ( ) ) result = await self . request ( api . Methods . SET_CHAT_TITLE , payload ) return result
def to_json ( self ) : """Returns the JSON Representation of the content type field validation ."""
result = { } for k , v in self . _data . items ( ) : result [ camel_case ( k ) ] = v return result
def get_keys ( self , bucket , timeout = None ) : """Fetch a list of keys for the bucket"""
bucket_type = self . _get_bucket_type ( bucket . bucket_type ) url = self . key_list_path ( bucket . name , bucket_type = bucket_type , timeout = timeout ) status , _ , body = self . _request ( 'GET' , url ) if status == 200 : props = json . loads ( bytes_to_str ( body ) ) return props [ 'keys' ] else : rai...
def _busy_wait_ms ( self , ms ) : """Busy wait for the specified number of milliseconds ."""
start = time . time ( ) delta = ms / 1000.0 while ( time . time ( ) - start ) <= delta : pass
def set_std_streams_blocking ( ) : """Set stdout and stderr to be blocking . This is called after Popen . communicate ( ) to revert stdout and stderr back to be blocking ( the default ) in the event that the process to which they were passed manipulated one or both file descriptors to be non - blocking ."""
if not fcntl : return for f in ( sys . __stdout__ , sys . __stderr__ ) : fileno = f . fileno ( ) flags = fcntl . fcntl ( fileno , fcntl . F_GETFL ) fcntl . fcntl ( fileno , fcntl . F_SETFL , flags & ~ os . O_NONBLOCK )
def get_bounds ( tune_params ) : """create a bounds array from the tunable parameters"""
bounds = [ ] for values in tune_params . values ( ) : sorted_values = numpy . sort ( values ) bounds . append ( ( sorted_values [ 0 ] , sorted_values [ - 1 ] ) ) return bounds
def xlabel ( self , labels ) : """Determine x - axis label Parameters labels : dict Labels as specified by the user through the ` ` labs ` ` or ` ` xlab ` ` calls . Returns out : str x - axis label"""
if self . panel_scales_x [ 0 ] . name is not None : return self . panel_scales_x [ 0 ] . name else : return labels . get ( 'x' , '' )
def _RawGlobPathSpecWithAlphabeticalSchema ( file_system , parent_path_spec , segment_format , location , segment_length , upper_case = False ) : """Globs for path specifications according to an alphabetical naming schema . Args : file _ system ( FileSystem ) : file system . parent _ path _ spec ( PathSpec ) ...
segment_number = 0 segment_files = [ ] while True : segment_index = segment_number segment_letters = [ ] while len ( segment_letters ) < segment_length : segment_index , remainder = divmod ( segment_index , 26 ) if upper_case : segment_letters . append ( chr ( ord ( 'A' ) + remai...
def api_user ( request , userPk , key = None , hproPk = None ) : """Return information about an user"""
if not check_api_key ( request , key , hproPk ) : return HttpResponseForbidden if settings . PIAPI_STANDALONE : if not settings . PIAPI_REALUSERS : user = generate_user ( pk = userPk ) if user is None : return HttpResponseNotFound ( ) else : user = get_object_or_404 ( DUs...
def hookable ( cls ) : """Initialise hookery in a class that declares hooks by decorating it with this decorator . This replaces the class with another one which has the same name , but also inherits Hookable which has HookableMeta set as metaclass so that sub - classes of cls will have hook descriptors initi...
assert isinstance ( cls , type ) # For classes that won ' t have descriptors initialised by metaclass , need to do it here . hook_definitions = [ ] if not issubclass ( cls , Hookable ) : for k , v in list ( cls . __dict__ . items ( ) ) : if isinstance ( v , ( ClassHook , InstanceHook ) ) : delat...
def read_cluster_status ( hosts , jolokia_port , jolokia_prefix ) : """Read and return the number of under replicated partitions and missing brokers from the specified hosts . : param hosts : list of brokers ip addresses : type hosts : list of strings : param jolokia _ port : HTTP port for Jolokia : type ...
under_replicated = 0 missing_brokers = 0 for host , request in generate_requests ( hosts , jolokia_port , jolokia_prefix ) : try : response = request . result ( ) if 400 <= response . status_code <= 599 : print ( "Got status code {0}. Exiting." . format ( response . status_code ) ) ...
def build_trie ( pattern_filename , pattern_format , encoding , on_word_boundaries ) : '''Constructs a finite state machine for performing string rewriting . Arguments : - ` pattern _ filename ` : - ` pattern _ format ` : - ` encoding ` : - ` on _ word _ boundaries ` :'''
boundaries = on_word_boundaries if pattern_format == 'auto' or not on_word_boundaries : tsv , boundaries = detect_pattern_format ( pattern_filename , encoding , on_word_boundaries ) if pattern_format == 'auto' : if tsv : pattern_format = 'tsv' else : pattern_format = 'sed' trie = fsed . ahoc...
def antenna1 ( self , context ) : """antenna1 data source"""
lrow , urow = MS . uvw_row_extents ( context ) antenna1 = self . _manager . ordered_uvw_table . getcol ( MS . ANTENNA1 , startrow = lrow , nrow = urow - lrow ) return antenna1 . reshape ( context . shape ) . astype ( context . dtype )
def circle_residual ( params , xedge , yedge ) : """Residuals for circle fitting Parameters params : lmfit . Parameters Must contain the keys : - " cx " : origin of x coordinate [ px ] - " cy " : origin of y coordinate [ px ] xedge : 1D np . ndarray Edge coordinates x [ px ] yedge : 1D np . ndarray ...
radii = circle_radii ( params , xedge , yedge ) return radii - np . mean ( radii )
def get_allowed_domain ( url , allow_subdomains = True ) : """Determines the url ' s domain . : param str url : the url to extract the allowed domain from : param bool allow _ subdomains : determines wether to include subdomains : return str : subdomains . domain . topleveldomain or domain . topleveldomain"""
if allow_subdomains : return re . sub ( re_www , '' , re . search ( r'[^/]+\.[^/]+' , url ) . group ( 0 ) ) else : return re . search ( re_domain , UrlExtractor . get_allowed_domain ( url ) ) . group ( 0 )
def details ( self ) : """Copy details from the source profile to the destination profile ."""
return self . dest_user . profile . details . convert_and_update ( self . source_profile . details . as_dict )
def validate_version ( self , where = None ) : """are we trying to operate on an old version ?"""
if where is not None : if ( self . version [ 0 ] <= 0 and self . version [ 1 ] <= 10 and self . version [ 2 ] < 1 ) : ws = incompatibility_doc % '.' . join ( [ str ( x ) for x in self . version ] ) warnings . warn ( ws , IncompatibilityWarning )
def get_deletions ( aln_df ) : """Get a list of tuples indicating the first and last residues of a deletion region , as well as the length of the deletion . Examples : # Deletion of residues 1 to 4 , length 4 > > > test = { ' id _ a ' : { 0 : ' a ' , 1 : ' a ' , 2 : ' a ' , 3 : ' a ' } , ' id _ a _ aa ' : { 0...
deletion_df = aln_df [ aln_df [ 'type' ] == 'deletion' ] if not deletion_df . empty : deletion_df [ 'id_a_pos' ] = deletion_df [ 'id_a_pos' ] . astype ( int ) deletions = [ ] for k , g in groupby ( deletion_df . index , key = lambda n , c = count ( ) : n - next ( c ) ) : tmp = list ( g ) deletion_indices = ...
def set_random_starting_grid ( lfe ) : """generate a random grid for game of life using a set of patterns ( just to make it interesting )"""
cls_patterns = mod_grid . GameOfLifePatterns ( 25 ) print ( cls_patterns ) exit ( 0 ) patterns = cls_patterns . get_patterns ( ) for pattern in patterns : lfe . set_tile ( pattern [ 0 ] , pattern [ 1 ] , 1 )
def optional_data_directories ( self ) : """Data directories entries are somewhat wierd . First of all they have no direct type information in it , the type is assumed from the position inside the table . For this reason there are often " null " entries , with all fields set to zero . Here we parse all the ...
base_offset = self . pe_header_offset + COFF_Header . get_size ( ) + OptionalHeader_StandardFields . get_size ( ) + OptionalHeader_WindowsFields . get_size ( ) for i in range ( 0 , self . optional_windows_fields . NumberOfRvaAndSizes ) : offset = base_offset + i * OptionalHeader_DataDirectory . get_size ( ) hea...
def _gerritCmd ( self , * args ) : '''Construct a command as a list of strings suitable for : func : ` subprocess . call ` .'''
if self . gerrit_identity_file is not None : options = [ '-i' , self . gerrit_identity_file ] else : options = [ ] return [ 'ssh' ] + options + [ '@' . join ( ( self . gerrit_username , self . gerrit_server ) ) , '-p' , str ( self . gerrit_port ) , 'gerrit' ] + list ( args )
def _ProcessUnknownEnums ( message , encoded_message ) : """Add unknown enum values from encoded _ message as unknown fields . ProtoRPC diverges from the usual protocol buffer behavior here and doesn ' t allow unknown fields . Throwing on unknown fields makes it impossible to let servers add new enum values a...
if not encoded_message : return message decoded_message = json . loads ( six . ensure_str ( encoded_message ) ) for field in message . all_fields ( ) : if ( isinstance ( field , messages . EnumField ) and field . name in decoded_message and message . get_assigned_value ( field . name ) is None ) : messa...
def transform_sources ( self , sources , with_string = False ) : """Get the defintions of needed strings and functions after replacement ."""
modules = { } updater = partial ( self . replace_source , modules = modules , prefix = 'string_' ) for filename in sources : updated = update_func_body ( sources [ filename ] , updater ) sources [ filename ] = EXTERN_AND_SEG + updated logging . debug ( 'modules: %s' , modules ) return sources , self . build_fun...
def log_to_file ( filename , level = None , fmt = None , datefmt = None ) : """Send log output to the given file . Parameters filename : str level : int , optional An optional logging level that will apply only to this stream handler . fmt : str , optional An optional format string that will be used f...
_add_urbansim_handler ( logging . FileHandler ( filename ) , fmt = fmt , datefmt = datefmt )
def abbreviate_sha1 ( cls , sha1 ) : """Uniquely abbreviates the given SHA1."""
# For now we invoke git - rev - parse ( 1 ) , but hopefully eventually # we will be able to do this via pygit2. cmd = [ 'git' , 'rev-parse' , '--short' , sha1 ] # cls . logger . debug ( " " . join ( cmd ) ) out = subprocess . check_output ( cmd , universal_newlines = True ) . strip ( ) # cls . logger . debug ( out ) re...
def _pandas_interp ( self , data , indices ) : """The actual transformation based on the following stackoverflow entry : http : / / stackoverflow . com / a / 10465162"""
new_index = np . arange ( indices [ - 1 ] + 1 ) data_frame = DataFrame ( data , index = indices ) data_frame_reindexed = data_frame . reindex ( new_index ) data_interpol = data_frame_reindexed . apply ( Series . interpolate ) del new_index del data_frame del data_frame_reindexed return data_interpol
def extract ( cls , keystr ) : """for # { key } returns key"""
regex = r'#{\s*(%s)\s*}' % cls . ALLOWED_KEY return re . match ( regex , keystr ) . group ( 1 )
def get_event_attendee ( self , id , attendee_id , ** data ) : """GET / events / : id / attendees / : attendee _ id / Returns a single : format : ` attendee ` by ID , as the key ` ` attendee ` ` ."""
return self . get ( "/events/{0}/attendees/{0}/" . format ( id , attendee_id ) , data = data )
def _hn2db ( self , hn ) : '''This will add a hostname for a hostname for an included domain or return an existing entry'''
db = self . hn_db hn_found = False for k , v in db . items ( ) : if v == hn : # the hostname is in the database ret_hn = k hn_found = True if hn_found : return ret_hn else : self . hostname_count += 1 # we have a new hostname , so we increment the counter to get the host ID number o_...
def percentAt ( self , value ) : """Returns the percentage the value represents between the minimum and maximum for this axis . : param value | < int > | | < float > : return < float >"""
min_val = self . minimum ( ) max_val = self . maximum ( ) if value < min_val : return 0.0 elif max_val < value : return 1.0 # round the max value to sync with the values in the grid max_val = self . rounded ( max_val ) try : perc = ( value - min_val ) / float ( max_val - min_val ) except ( TypeError , ZeroD...
def handler_context ( self , type_ , from_ , cb , * , wildcard_resource = True ) : """Context manager which temporarily registers a callback . The arguments are the same as for : meth : ` register _ callback ` . When the context is entered , the callback ` cb ` is registered . When the context is exited , no ...
self . register_callback ( type_ , from_ , cb , wildcard_resource = wildcard_resource ) try : yield finally : self . unregister_callback ( type_ , from_ , wildcard_resource = wildcard_resource )
def add_iri_thermal_plasma ( inst , glat_label = 'glat' , glong_label = 'glong' , alt_label = 'alt' ) : """Uses IRI ( International Reference Ionosphere ) model to simulate an ionosphere . Uses pyglow module to run IRI . Configured to use actual solar parameters to run model . Example # function added velow...
import pyglow from pyglow . pyglow import Point iri_params = [ ] # print ' IRI Simulations ' for time , lat , lon , alt in zip ( inst . data . index , inst [ glat_label ] , inst [ glong_label ] , inst [ alt_label ] ) : # Point class is instantiated . Its parameters are a function of time and spatial location pt = P...
def _to_io_meta ( shape_meta , valid_keys , key_mappings ) : """This is used to make meta data compatible with a specific io by filtering and mapping to it ' s valid keys Parameters shape _ meta : dict meta attribute of a ` regions . Region ` object valid _ keys : python list Contains all the valid keys...
meta = dict ( ) for key in shape_meta : if key in valid_keys : meta [ key_mappings . get ( key , key ) ] = shape_meta [ key ] return meta
def get_network_events ( self ) : """: calls : ` GET / networks / : owner / : repo / events < http : / / developer . github . com / v3 / activity / events > ` _ : rtype : : class : ` github . PaginatedList . PaginatedList ` of : class : ` github . Event . Event `"""
return github . PaginatedList . PaginatedList ( github . Event . Event , self . _requester , "/networks/" + self . owner . login + "/" + self . name + "/events" , None )
def leave_swarm ( self , force = False ) : """Leave a swarm . Args : force ( bool ) : Leave the swarm even if this node is a manager . Default : ` ` False ` ` Returns : ` ` True ` ` if the request went through . Raises : : py : class : ` docker . errors . APIError ` If the server returns an error ."...
url = self . _url ( '/swarm/leave' ) response = self . _post ( url , params = { 'force' : force } ) # Ignore " this node is not part of a swarm " error if force and response . status_code == http_client . NOT_ACCEPTABLE : return True # FIXME : Temporary workaround for 1.13.0 - rc bug # https : / / github . com / do...
def new_orthogonal_center ( X , data_norms , centroids , center_norms = None ) : """Initialize the centrodis by orthogonal _ initialization . Parameters X ( data ) : array - like , shape = ( m _ samples , n _ samples ) data _ norms : array - like , shape = ( 1 , n _ samples ) center _ norms : array - like ,...
if center_norms is None : center_norms = np . linalg . norm ( centroids , axis = 1 ) cosine = np . inner ( X , centroids ) # cosine [ i , j ] = np . dot ( X [ i , : ] , centroids [ j , : ] ) cosine = cosine / center_norms # divide each column by the center norm cosine = cosine / data_norms [ : , np . newaxis ] # di...
def load_cash_balances_with_children ( self , root_account_fullname : str ) : """loads data for cash balances"""
assert isinstance ( root_account_fullname , str ) svc = AccountsAggregate ( self . book ) root_account = svc . get_by_fullname ( root_account_fullname ) if not root_account : raise ValueError ( "Account not found" , root_account_fullname ) accounts = self . __get_all_child_accounts_as_array ( root_account ) # read ...
def get_filter ( filetypes , ext ) : """Return filter associated to file extension"""
if not ext : return ALL_FILTER for title , ftypes in filetypes : if ext in ftypes : return _create_filter ( title , ftypes ) else : return ''
def Then2 ( self , f , arg1 , * args , ** kwargs ) : """` Then2 ( f , . . . ) ` is equivalent to ` ThenAt ( 2 , f , . . . ) ` . Checkout ` phi . builder . Builder . ThenAt ` for more information ."""
args = ( arg1 , ) + args return self . ThenAt ( 2 , f , * args , ** kwargs )
def _urlendecode ( url , func ) : """Encode or decode ` ` url ` ` by applying ` ` func ` ` to all of its URL - encodable parts ."""
parsed = urlparse ( url ) for attr in URL_ENCODABLE_PARTS : parsed = parsed . _replace ( ** { attr : func ( getattr ( parsed , attr ) ) } ) return urlunparse ( parsed )
def delete_tag ( self , tag_id ) : """Deletes a Tag to current object : param tag _ id : the id of the tag which should be deleted : type tag _ id : int : rtype : None"""
from highton . models . tag import Tag self . _delete_request ( endpoint = self . ENDPOINT + '/' + str ( self . id ) + '/' + Tag . ENDPOINT + '/' + str ( tag_id ) , )
def _resolve_username ( self , account , username ) : """Resolve username and handle deprecation of account kwarg"""
if account is not None : warnings . warn ( "Use keyword argument 'username' instead of 'account'" , DeprecationWarning ) return username or account or self . username
def _killBackref ( receiver , senderkey ) : """Do the actual removal of back reference from receiver to senderkey"""
receiverkey = id ( receiver ) set = sendersBack . get ( receiverkey , ( ) ) while senderkey in set : try : set . remove ( senderkey ) except : break if not set : try : del sendersBack [ receiverkey ] except KeyError : pass return True
def find_python ( ) : """Search for Python automatically"""
python = ( _state . get ( "pythonExecutable" ) or # Support for multiple executables . next ( ( exe for exe in os . getenv ( "PYBLISH_QML_PYTHON_EXECUTABLE" , "" ) . split ( os . pathsep ) if os . path . isfile ( exe ) ) , None ) or # Search PATH for executables . which ( "python" ) or which ( "python3" ) ) if not pyth...
def assign_activity_to_objective_bank ( self , activity_id , objective_bank_id ) : """Adds an existing ` ` Activity ` ` to a ` ` ObjectiveBank ` ` . arg : activity _ id ( osid . id . Id ) : the ` ` Id ` ` of the ` ` Activity ` ` arg : objective _ bank _ id ( osid . id . Id ) : the ` ` Id ` ` of the ` ` Object...
# Implemented from template for # osid . resource . ResourceBinAssignmentSession . assign _ resource _ to _ bin mgr = self . _get_provider_manager ( 'LEARNING' , local = True ) lookup_session = mgr . get_objective_bank_lookup_session ( proxy = self . _proxy ) lookup_session . get_objective_bank ( objective_bank_id ) # ...
def upload_rotate ( file_path , s3_bucket , s3_key_prefix , aws_key = None , aws_secret = None ) : '''Upload file _ path to s3 bucket with prefix Ex . upload _ rotate ( ' / tmp / file - 2015-01-01 . tar . bz2 ' , ' backups ' , ' foo . net / ' ) would upload file to bucket backups with key = foo . net / file - 2...
key = '' . join ( [ s3_key_prefix , os . path . basename ( file_path ) ] ) logger . debug ( "Uploading {0} to {1}" . format ( file_path , key ) ) upload ( file_path , s3_bucket , key , aws_access_key_id = aws_key , aws_secret_access_key = aws_secret ) file_root , file_ext = splitext ( os . path . basename ( file_path )...
def _onLeftButtonDown ( self , evt ) : """Start measuring on an axis ."""
x = evt . GetX ( ) y = self . figure . bbox . height - evt . GetY ( ) evt . Skip ( ) self . CaptureMouse ( ) FigureCanvasBase . button_press_event ( self , x , y , 1 , guiEvent = evt )
def url_to_dir_parts ( url , include_protocol = False , include_hostname = False , alt_char = False ) : '''Return a list of directory parts from a URL . Args : url ( str ) : The URL . include _ protocol ( bool ) : If True , the scheme from the URL will be included . include _ hostname ( bool ) : If True ,...
assert isinstance ( url , str ) , 'Expect str. Got {}.' . format ( type ( url ) ) url_split_result = urllib . parse . urlsplit ( url ) parts = [ ] if include_protocol : parts . append ( url_split_result . scheme ) if include_hostname : hostname = url_split_result . hostname if url_split_result . port : ...