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def toSolarDate ( self ) : '''> > > LunarDate ( 1900 , 1 , 1 ) . toSolarDate ( ) datetime . date ( 1900 , 1 , 31) > > > LunarDate ( 2008 , 9 , 4 ) . toSolarDate ( ) datetime . date ( 2008 , 10 , 2) > > > LunarDate ( 1976 , 8 , 8 , 1 ) . toSolarDate ( ) datetime . date ( 1976 , 10 , 1) > > > LunarDate ( ...
def _calcDays ( yearInfo , month , day , isLeapMonth ) : isLeapMonth = int ( isLeapMonth ) res = 0 ok = False for _month , _days , _isLeapMonth in self . _enumMonth ( yearInfo ) : if ( _month , _isLeapMonth ) == ( month , isLeapMonth ) : if 1 <= day <= _days : res += ...
def set_lacp_timeout ( self , name , value = None ) : """Configures the Port - Channel LACP fallback timeout The fallback timeout configures the period an interface in fallback mode remains in LACP mode without receiving a PDU . Args : name ( str ) : The Port - Channel interface name value ( int ) : port ...
commands = [ 'interface %s' % name ] string = 'port-channel lacp fallback timeout' commands . append ( self . command_builder ( string , value = value ) ) return self . configure ( commands )
def update_bounds ( self , bounds ) : '''Update cylinders start and end positions'''
starts = bounds [ : , 0 , : ] ends = bounds [ : , 1 , : ] self . bounds = bounds self . lengths = np . sqrt ( ( ( ends - starts ) ** 2 ) . sum ( axis = 1 ) ) vertices , normals , colors = self . _process_reference ( ) self . tr . update_vertices ( vertices ) self . tr . update_normals ( normals )
def modify ( self , request , nodes , namespace , root_id , post_cut , breadcrumb ) : """Modify nodes of a menu"""
if breadcrumb : return nodes for node in nodes : if node . attr . get ( 'hidden' ) : node . visible = False return nodes
def reduce ( self , target_map , target_reduce , threads = 0 ) : """map / reduce this query among a bunch of processes : param target _ map : callable , this function will be called once for each row this query pulls out of the db , if you want something about the row to be seen by the target _ reduce functio...
if not threads : threads = multiprocessing . cpu_count ( ) # we subtract one for the main process map_threads = threads - 1 if threads > 1 else 1 q = self . copy ( ) limit = q . bounds . limit offset = q . bounds . offset total_count = limit if limit else q . count ( ) limit_count = int ( math . ceil ( float ( tota...
def list_metrics ( self , project , page_size = 0 , page_token = None ) : """List metrics for the project associated with this client . : type project : str : param project : ID of the project whose metrics are to be listed . : type page _ size : int : param page _ size : maximum number of metrics to return...
path = "projects/%s" % ( project , ) page_iter = self . _gapic_api . list_log_metrics ( path , page_size = page_size ) page_iter . client = self . _client page_iter . next_page_token = page_token page_iter . item_to_value = _item_to_metric return page_iter
def update_metadata ( self , key : str , msg : MaildirMessage ) -> None : """Uses : func : ` os . rename ` to atomically update the message filename based on : meth : ` ~ mailbox . MaildirMessage . get _ info ` ."""
subpath = self . _lookup ( key ) subdir , name = os . path . split ( subpath ) new_subdir = msg . get_subdir ( ) new_name = key + self . colon + msg . get_info ( ) if subdir != new_subdir : raise ValueError ( 'Message subdir may not be updated' ) elif name != new_name : new_subpath = os . path . join ( msg . ge...
def destroy ( self ) : """Cleanup the activty lifecycle listener"""
if self . widget : self . set_active ( False ) super ( AndroidBarcodeView , self ) . destroy ( )
def line_type ( self , line_type ) : """Sets the line _ type of this ChartSettings . Plot interpolation type . linear is default # noqa : E501 : param line _ type : The line _ type of this ChartSettings . # noqa : E501 : type : str"""
allowed_values = [ "linear" , "step-before" , "step-after" , "basis" , "cardinal" , "monotone" ] # noqa : E501 if line_type not in allowed_values : raise ValueError ( "Invalid value for `line_type` ({0}), must be one of {1}" # noqa : E501 . format ( line_type , allowed_values ) ) self . _line_type = line_type
def as_constraint ( cls , constraint , model , constraint_type = None , ** init_kwargs ) : """Initiate a Model which should serve as a constraint . Such a constraint - model should be initiated with knowledge of another ` ` BaseModel ` ` , from which it will take its parameters : : model = Model ( { y : a * x...
allowed_types = [ sympy . Eq , sympy . Ge , sympy . Le ] if isinstance ( constraint , Relational ) : constraint_type = constraint . __class__ constraint = constraint . lhs - constraint . rhs # Initiate the constraint model , in such a way that we take care # of any dependencies instance = cls . with_dependencie...
def inject ( self ) : """inject code into sitecustomize . py that will inject pout into the builtins so it will be available globally"""
if self . is_injected ( ) : return False with open ( self , mode = "a+" ) as fp : fp . seek ( 0 ) fp . write ( "\n" . join ( [ "" , "try:" , " import pout" , "except ImportError:" , " pass" , "else:" , " pout.inject()" , "" , ] ) ) return True
def limit ( self , value ) : """Allows for limiting number of results returned for query . Useful for pagination ."""
self . _query = self . _query . limit ( value ) return self
def message_to_objects ( message : str , sender : str , sender_key_fetcher : Callable [ [ str ] , str ] = None , user : UserType = None , ) -> List : """Takes in a message extracted by a protocol and maps it to entities . : param message : XML payload : type message : str : param sender : Payload sender id ...
doc = etree . fromstring ( message ) if doc . tag in TAGS : return element_to_objects ( doc , sender , sender_key_fetcher , user ) return [ ]
def push ( self , cart , env = None , callback = None ) : """` cart ` - Release cart to push items from ` callback ` - Optional callback to call if juicer . utils . upload _ rpm succeeds Pushes the items in a release cart to the pre - release environment ."""
juicer . utils . Log . log_debug ( "Initializing push of cart '%s'" % cart . cart_name ) if not env : env = self . _defaults [ 'start_in' ] cart . current_env = env self . sign_cart_for_env_maybe ( cart , env ) self . upload ( env , cart , callback ) return True
def changelog ( build ) : """create a changelog"""
build . packages . install ( "gitchangelog" ) changelog_text = subprocess . check_output ( [ "gitchangelog" , "HEAD...v0.2.9" ] ) with open ( os . path . join ( build . root , "CHANGELOG" ) , "wb+" ) as fh : fh . write ( changelog_text )
def on_press ( callback , suppress = False ) : """Invokes ` callback ` for every KEY _ DOWN event . For details see ` hook ` ."""
return hook ( lambda e : e . event_type == KEY_UP or callback ( e ) , suppress = suppress )
def pollNextEvent ( self , pEvent ) : """Returns true and fills the event with the next event on the queue if there is one . If there are no events this method returns false . uncbVREvent should be the size in bytes of the VREvent _ t struct"""
fn = self . function_table . pollNextEvent result = fn ( byref ( pEvent ) , sizeof ( VREvent_t ) ) return result != 0
def parse_file_path ( cls , file_path ) : """Parse a file address path without the file specifier"""
address = None pattern = cls . file_regex . match ( file_path ) if pattern : address = pattern . group ( 1 ) return address
def __update_filter ( self ) : """Create a combined filter . Set the resulting filter into the document controller ."""
filters = list ( ) if self . __date_filter : filters . append ( self . __date_filter ) if self . __text_filter : filters . append ( self . __text_filter ) self . document_controller . display_filter = ListModel . AndFilter ( filters )
def _update_estimate_and_sampler ( self , ell , ell_hat , weight , extra_info , ** kwargs ) : """Update the BB models and the estimates"""
stratum_idx = extra_info [ 'stratum' ] self . _BB_TP . update ( ell * ell_hat , stratum_idx ) self . _BB_PP . update ( ell_hat , stratum_idx ) self . _BB_P . update ( ell , stratum_idx ) # Update model covariance matrix for stratum _ idx self . _update_cov_model ( strata_to_update = [ stratum_idx ] ) # Update F - measu...
def ensure_path_exists ( self ) : # type : ( LocalDestinationPath ) - > None """Ensure path exists : param LocalDestinationPath self : this"""
if self . _is_dir is None : raise RuntimeError ( 'is_dir not set' ) if self . _is_dir : self . _path . mkdir ( mode = 0o750 , parents = True , exist_ok = True ) else : if self . _path . exists ( ) and self . _path . is_dir ( ) : raise RuntimeError ( ( 'destination path {} already exists and is a ' '...
def generic_visit ( self , node ) : """Handle expressions we don ' t have custom code for ."""
assert isinstance ( node , ast . expr ) res = self . assign ( node ) return res , self . explanation_param ( self . display ( res ) )
def authenticate ( self , client_id , client_secret , use_cache = True ) : """Authenticate the given client against UAA . The resulting token will be cached for reuse ."""
# We will reuse a token for as long as we have one cached # and it hasn ' t expired . if use_cache : client = self . _get_client_from_cache ( client_id ) if ( client ) and ( not self . is_expired_token ( client ) ) : self . authenticated = True self . client = client return # Let ' s aut...
def generate_empty_dicts ( size ) : """This function creates a list populated with empty dictionaries . Examples : generate _ empty _ dicts ( 5 ) - > [ { } , { } , { } , { } , { } ] generate _ empty _ dicts ( 6 ) - > [ { } , { } , { } , { } , { } , { } ] generate _ empty _ dicts ( 7 ) - > [ { } , { } , { } ...
return [ { } for _ in range ( size ) ]
def commit_offsets_async ( self , offsets , callback = None ) : """Commit specific offsets asynchronously . Arguments : offsets ( dict { TopicPartition : OffsetAndMetadata } ) : what to commit callback ( callable , optional ) : called as callback ( offsets , response ) response will be either an Exception o...
self . _invoke_completed_offset_commit_callbacks ( ) if not self . coordinator_unknown ( ) : future = self . _do_commit_offsets_async ( offsets , callback ) else : # we don ' t know the current coordinator , so try to find it and then # send the commit or fail ( we don ' t want recursive retries which can # cause o...
def fetch_messages ( self ) : """Sends FetchRequests for all topic / partitions set for consumption Returns : Generator that yields KafkaMessage structs after deserializing with the configured ` deserializer _ class ` Note : Refreshes metadata on errors , and resets fetch offset on OffsetOutOfRange , pe...
max_bytes = self . _config [ 'fetch_message_max_bytes' ] max_wait_time = self . _config [ 'fetch_wait_max_ms' ] min_bytes = self . _config [ 'fetch_min_bytes' ] if not self . _topics : raise KafkaConfigurationError ( 'No topics or partitions configured' ) if not self . _offsets . fetch : raise KafkaConfiguratio...
def get_name_record ( name , include_history = False , include_expired = False , include_grace = True , proxy = None , hostport = None , history_page = None ) : """Get the record for a name or a subdomain . Optionally include its history , and optionally return an expired name or a name in its grace period . Retu...
if isinstance ( name , ( str , unicode ) ) : # coerce string name = str ( name ) assert proxy or hostport , 'Need either proxy handle or hostport string' if proxy is None : proxy = connect_hostport ( hostport ) # what do we expect ? required = None is_blockstack_id = False is_blockstack_subdomain = False if is_...
def _einsum_equation ( input_shapes , output_shape ) : """Turn shapes into an einsum equation . e . g . " ij , jk - > ik " Args : input _ shapes : a list of Shapes output _ shape : a Shape Returns : a string"""
ret = [ ] next_letter = ord ( "a" ) dim_to_letter = { } for shape_num , shape in enumerate ( input_shapes + [ output_shape ] ) : if shape_num == len ( input_shapes ) : ret . append ( "->" ) elif shape_num > 0 : ret . append ( "," ) for d in shape . dims : if d not in dim_to_letter : ...
def main ( ) : """NAME vector _ mean . py DESCRIPTION calculates vector mean of vector data INPUT FORMAT takes dec , inc , int from an input file SYNTAX vector _ mean . py [ command line options ] [ < filename ] OPTIONS - h prints help message and quits - f FILE , specify input file - F FILE ,...
if '-h' in sys . argv : # check if help is needed print ( main . __doc__ ) sys . exit ( ) # graceful quit if '-f' in sys . argv : dat = [ ] ind = sys . argv . index ( '-f' ) file = sys . argv [ ind + 1 ] else : file = sys . stdin # read from standard input ofile = "" if '-F' in sys . arg...
def do_REMOTE ( self , target : str , remote_command : str , source : list , * args , ** kwargs ) -> None : """Send a remote command to a service . Used Args : target : The service that the command gets set to remote _ command : The command to do remotely . source : the binary source of the zmq _ socket . P...
if target == self . messaging . _service_name : info = 'target for remote command is the bot itself! Returning the function' self . logger . info ( info ) return self . _handle_command ( remote_command , source , * args , ** kwargs ) try : target = self . messaging . _address_map [ target ] except KeyEr...
def clear_other_texts ( self , remove = False ) : """Make sure that no other text is a the same position as this one This method clears all text instances in the figure that are at the same position as the : attr : ` _ text ` attribute Parameters remove : bool If True , the Text instances are permanently ...
fig = self . ax . get_figure ( ) # don ' t do anything if our figtitle is the only Text instance if len ( fig . texts ) == 1 : return for i , text in enumerate ( fig . texts ) : if text == self . _text : continue if text . get_position ( ) == self . _text . get_position ( ) : if not remove :...
def iter_points ( self ) : "returns a list of tuples of names and values"
if not self . is_discrete ( ) : raise ValueError ( "Patch is not discrete" ) names = sorted ( self . sets . keys ( ) ) icoords = [ self . sets [ name ] . iter_members ( ) for name in names ] for coordinates in product ( * icoords ) : yield tuple ( zip ( names , coordinates ) )
def decrypt ( receiver_prvhex : str , msg : bytes ) -> bytes : """Decrypt with eth private key Parameters receiver _ pubhex : str Receiver ' s ethereum private key hex string msg : bytes Data to decrypt Returns bytes Plain text"""
pubkey = msg [ 0 : 65 ] # pubkey ' s length is 65 bytes encrypted = msg [ 65 : ] sender_public_key = hex2pub ( pubkey . hex ( ) ) private_key = hex2prv ( receiver_prvhex ) aes_key = derive ( private_key , sender_public_key ) return aes_decrypt ( aes_key , encrypted )
def parse_condition ( self , query , prev_key = None , last_prev_key = None ) : """Creates a recursive generator for parsing some types of Query ( ) conditions : param query : Query object : param prev _ key : The key at the next - higher level : return : generator object , the last of which will be the com...
# use this to determine gt / lt / eq on prev _ query logger . debug ( u'query: {} prev_query: {}' . format ( query , prev_key ) ) q = Query ( ) conditions = None # deal with the { ' name ' : value } case by injecting a previous key if not prev_key : temp_query = copy . deepcopy ( query ) k , v = temp_query . po...
def format_epilog ( self , ctx , formatter ) : """Writes the epilog into the formatter if it exists ."""
if self . epilog : formatter . write_paragraph ( ) with formatter . indentation ( ) : formatter . write_text ( self . epilog )
def register_run_plugins ( self , plugin_name , plugin_class ) : """Loads a plugin as a dictionary and attaches needed parts to correct Icetea run global parts . : param plugin _ name : Name of the plugins : param plugin _ class : PluginBase : return : Nothing"""
if plugin_name in self . registered_plugins : raise PluginException ( "Plugin {} already registered! " "Duplicate plugins?" . format ( plugin_name ) ) self . logger . debug ( "Registering plugin %s" , plugin_name ) if plugin_class . get_allocators ( ) : register_func = self . plugin_types [ PluginTypes . ALLOCA...
async def ignore_list ( self , ctx ) : """Tells you what channels are currently ignored in this server ."""
ignored = self . config . get ( 'ignored' , [ ] ) channel_ids = set ( c . id for c in ctx . message . server . channels ) result = [ ] for channel in ignored : if channel in channel_ids : result . append ( '<#{}>' . format ( channel ) ) if result : await self . bot . responses . basic ( title = "Ignored...
def get_pymata_version ( self ) : """This method retrieves the PyMata version number : returns : PyMata version number ."""
task = asyncio . ensure_future ( self . core . get_pymata_version ( ) ) self . loop . run_until_complete ( task )
def pop ( self ) : """Pop dir off stack and change to it ."""
if len ( self . stack ) : os . chdir ( self . stack . pop ( ) )
def _fit ( self , col ) : """Create a map of the empirical probability for each category . Args : col ( pandas . DataFrame ) : Data to transform ."""
column = col [ self . col_name ] . replace ( { np . nan : np . inf } ) frequencies = column . groupby ( column ) . count ( ) . rename ( { np . inf : None } ) . to_dict ( ) # next set probability ranges on interval [ 0,1] start = 0 end = 0 num_vals = len ( col ) for val in frequencies : prob = frequencies [ val ] / ...
def timeout_at ( clock , coro = None , * args ) : '''Execute the specified coroutine and return its result . However , issue a cancellation request to the calling task after seconds have elapsed . When this happens , a TaskTimeout exception is raised . If coro is None , the result of this function serves as...
if coro : return _timeout_after_func ( clock , True , coro , args ) return TimeoutAfter ( clock , absolute = True )
def makeAggShkHist ( self ) : '''Make simulated histories of aggregate transitory and permanent shocks . Histories are of length self . act _ T , for use in the general equilibrium simulation . Draws on history of aggregate Markov states generated by internal call to makeMrkvHist ( ) . Parameters None R...
self . makeMrkvHist ( ) # Make a ( pseudo ) random sequence of Markov states sim_periods = self . act_T # For each Markov state in each simulated period , draw the aggregate shocks # that would occur in that state in that period StateCount = self . MrkvArray . shape [ 0 ] PermShkAggHistAll = np . zeros ( ( StateCount ,...
def unique_index ( df ) : """Assert that the index is unique Parameters df : DataFrame Returns df : DataFrame"""
try : assert df . index . is_unique except AssertionError as e : e . args = df . index . get_duplicates ( ) raise return df
def my_log_message ( verbose , prio , msg ) : """Log to syslog , and possibly also to stderr ."""
syslog . syslog ( prio , msg ) if verbose or prio == syslog . LOG_ERR : sys . stderr . write ( "%s\n" % ( msg ) )
def __version ( client ) : '''Grab DRAC version'''
versions = { 9 : 'CMC' , 8 : 'iDRAC6' , 10 : 'iDRAC6' , 11 : 'iDRAC6' , 16 : 'iDRAC7' , 17 : 'iDRAC7' } if isinstance ( client , paramiko . SSHClient ) : ( stdin , stdout , stderr ) = client . exec_command ( 'racadm getconfig -g idRacInfo' ) for i in stdout . readlines ( ) : if i [ 2 : ] . startswith ( ...
def to_dict ( self ) : """Convert the tree node to its dictionary representation . : return : an expansion dictionary that represents the type and expansions of this tree node . : rtype dict [ list [ union [ str , unicode ] ] ]"""
expansion_strings = [ ] for expansion in self . expansions : expansion_strings . extend ( expansion . to_strings ( ) ) return { self . type : expansion_strings , }
def toLocalIterator ( self ) : """Returns an iterator that contains all of the rows in this : class : ` DataFrame ` . The iterator will consume as much memory as the largest partition in this DataFrame . > > > list ( df . toLocalIterator ( ) ) [ Row ( age = 2 , name = u ' Alice ' ) , Row ( age = 5 , name = u ...
with SCCallSiteSync ( self . _sc ) as css : sock_info = self . _jdf . toPythonIterator ( ) return _load_from_socket ( sock_info , BatchedSerializer ( PickleSerializer ( ) ) )
def remove_action ( i ) : """Input : { ( repo _ uoa ) - repo UOA module _ uoa - normally should be ' module ' already data _ uoa - UOA of the module to be created func - action Output : { return - return code = 0 , if successful > 0 , if error ( error ) - error text if return > 0 Output of ' updat...
# Check if global writing is allowed r = check_writing ( { } ) if r [ 'return' ] > 0 : return r o = i . get ( 'out' , '' ) ruoa = i . get ( 'repo_uoa' , '' ) muoa = i . get ( 'module_uoa' , '' ) duoa = i . get ( 'data_uoa' , '' ) func = i . get ( 'func' , '' ) if muoa == '' : return { 'return' : 1 , 'error' : '...
def upload_bam_to_s3 ( job , job_vars ) : """Upload bam to S3 . Requires S3AM and a ~ / . boto config file ."""
input_args , ids = job_vars work_dir = job . fileStore . getLocalTempDir ( ) uuid = input_args [ 'uuid' ] # I / O job . fileStore . readGlobalFile ( ids [ 'alignments.bam' ] , os . path . join ( work_dir , 'alignments.bam' ) ) bam_path = os . path . join ( work_dir , 'alignments.bam' ) sample_name = uuid + '.bam' # Par...
def block ( self , ** kwargs ) : """Block the user . Args : * * kwargs : Extra options to send to the server ( e . g . sudo ) Raises : GitlabAuthenticationError : If authentication is not correct GitlabBlockError : If the user could not be blocked Returns : bool : Whether the user status has been chan...
path = '/users/%s/block' % self . id server_data = self . manager . gitlab . http_post ( path , ** kwargs ) if server_data is True : self . _attrs [ 'state' ] = 'blocked' return server_data
def _gen_sample ( self ) : """Generate a random captcha image sample Returns ( numpy . ndarray , str ) Tuple of image ( numpy ndarray ) and character string of digits used to generate the image"""
num_str = self . get_rand ( self . num_digit_min , self . num_digit_max ) return self . captcha . image ( num_str ) , num_str
def ip_info ( self , ip , repository_ids = None ) : """ip _ info Returns information about the IP specified in the repository ids defined ."""
if not repository_ids : repository_ids = [ ] repos = [ ] for rid in repository_ids : repos . append ( { 'id' : rid } ) return self . raw_query ( 'vuln' , 'getIP' , data = { 'ip' : ip , 'repositories' : repos } )
def get_process_definition_start ( fname , slug ) : """Find the first line of process definition . The first line of process definition is the line with a slug . : param str fname : Path to filename with processes : param string slug : process slug : return : line where the process definiton starts : rtyp...
with open ( fname ) as file_ : for i , line in enumerate ( file_ ) : if re . search ( r'slug:\s*{}' . format ( slug ) , line ) : return i + 1 # In case starting line is not found just return first line return 1
def execPath ( self ) : """the executable application ' s path"""
vers = self . version . label if self . version else None # executables in Versions folder are stored by baseVersion ( modified by game data patches ) return self . installedApp . exec_path ( vers )
def _create_producer ( self ) : """Tries to establish a Kafka consumer connection"""
if not self . closed : try : self . logger . debug ( "Creating new kafka producer using brokers: " + str ( self . settings [ 'KAFKA_HOSTS' ] ) ) return KafkaProducer ( bootstrap_servers = self . settings [ 'KAFKA_HOSTS' ] , value_serializer = lambda v : json . dumps ( v ) . encode ( 'utf-8' ) , retr...
def redraw ( self , whence = 0 ) : """Redraw the canvas . Parameters whence See : meth : ` get _ rgb _ object ` ."""
with self . _defer_lock : whence = min ( self . _defer_whence , whence ) if not self . defer_redraw : if self . _hold_redraw_cnt == 0 : self . _defer_whence = self . _defer_whence_reset self . redraw_now ( whence = whence ) else : self . _defer_whence = whence...
def draw_progress_bar ( cb , message , value , max_value ) : """: type cb : cursebox . Cursebox"""
m_x = cb . width // 2 m_y = cb . height // 2 w = len ( message ) + 4 h = 3 draw_box ( cb , m_x - w // 2 , m_y - 1 , w , h ) message = " %s " % message i = int ( ( value / max_value ) * ( len ( message ) + 2 ) ) message = "$" + message [ : i ] + "$" + message [ i : ] draw_text ( cb , m_x - w // 2 + 1 , m_y , message )
def show_ver ( ** kwargs ) : '''Shortcut to run ` show version ` on the NX - OS device . . . code - block : : bash salt ' * ' nxos . cmd show _ ver'''
command = 'show version' info = '' info = show ( command , ** kwargs ) if isinstance ( info , list ) : info = info [ 0 ] return info
def name_history_merge ( h1 , h2 ) : """Given two name histories ( grouped by block ) , merge them ."""
ret = { } blocks_1 = [ int ( b ) for b in h1 . keys ( ) ] blocks_2 = [ int ( b ) for b in h2 . keys ( ) ] # find overlapping blocks overlap = list ( set ( blocks_1 ) . intersection ( set ( blocks_2 ) ) ) if len ( overlap ) > 0 : for b in overlap : h = h1 [ str ( b ) ] + h2 [ str ( b ) ] h . sort ( l...
def convert ( self , obj ) : """Takes a dict corresponding to the honeybadgerfish JSON blob of the 1.0 . * type and converts it to BY _ ID _ HONEY _ BADGERFISH version . The object is modified in place and returned ."""
if self . pristine_if_invalid : raise NotImplementedError ( 'pristine_if_invalid option is not supported yet' ) nex = get_nexml_el ( obj ) assert nex self . _recursive_convert_dict ( nex ) nex [ '@nexml2json' ] = str ( BADGER_FISH_NEXSON_VERSION ) self . _single_el_list_to_dicts ( nex , 'otus' ) self . _single_el_l...
def mod2pi ( ts ) : """For a timeseries where all variables represent phases ( in radians ) , return an equivalent timeseries where all values are in the range ( - pi , pi ]"""
return np . pi - np . mod ( np . pi - ts , 2 * np . pi )
def extract_spans ( html_string ) : """Creates a list of the spanned cell groups of [ row , column ] pairs . Parameters html _ string : str Returns list of lists of lists of int"""
try : from bs4 import BeautifulSoup except ImportError : print ( "ERROR: You must have BeautifulSoup to use html2data" ) return soup = BeautifulSoup ( html_string , 'html.parser' ) table = soup . find ( 'table' ) if not table : return [ ] trs = table . findAll ( 'tr' ) if len ( trs ) == 0 : return [...
def get_headers ( environ ) : """Returns only proper HTTP headers ."""
for key , value in environ . iteritems ( ) : key = str ( key ) if key . startswith ( 'HTTP_' ) and key not in ( 'HTTP_CONTENT_TYPE' , 'HTTP_CONTENT_LENGTH' ) : yield key [ 5 : ] . replace ( '_' , '-' ) . title ( ) , value elif key in ( 'CONTENT_TYPE' , 'CONTENT_LENGTH' ) : yield key . replac...
def move_up ( self ) : """Move up one level in the hierarchy , unless already on top ."""
if self . current_item . parent is not None : self . current_item = self . current_item . parent for f in self . _hooks [ "up" ] : f ( self ) if self . current_item is self . root : for f in self . _hooks [ "top" ] : f ( self ) return self
def create_result ( self , local_path , container_path , permissions , meta , val , dividers ) : """Default permissions to rw"""
if permissions is NotSpecified : permissions = 'rw' return Mount ( local_path , container_path , permissions )
def verify_ocsp ( cls , certificate , issuer ) : """Runs OCSP verification and returns error code - 0 means success"""
return OCSPVerifier ( certificate , issuer , cls . get_ocsp_url ( ) , cls . get_ocsp_responder_certificate_path ( ) ) . verify ( )
def get_batches ( self , batch_size , shuffle = True ) : """Get batch iterator Parameters batch _ size : int size of one batch shuffle : bool whether to shuffle batches . Don ' t set to True when evaluating on dev or test set . Returns tuple word _ inputs , tag _ inputs , arc _ targets , rel _ targe...
batches = [ ] for bkt_idx , bucket in enumerate ( self . _buckets ) : bucket_size = bucket . shape [ 1 ] n_tokens = bucket_size * self . _bucket_lengths [ bkt_idx ] n_splits = min ( max ( n_tokens // batch_size , 1 ) , bucket_size ) range_func = np . random . permutation if shuffle else np . arange ...
def _offset_subplot_ids ( fig , offsets ) : """Apply offsets to the subplot id numbers in a figure . Note : This function mutates the input figure dict Note : This function assumes that the normalize _ subplot _ ids function has already been run on the figure , so that all layout subplot properties in use a...
# Offset traces for trace in fig . get ( 'data' , None ) : trace_type = trace . get ( 'type' , 'scatter' ) subplot_types = _trace_to_subplot . get ( trace_type , [ ] ) for subplot_type in subplot_types : subplot_prop_name = _get_subplot_prop_name ( subplot_type ) # Compute subplot value pref...
def CredibleInterval ( self , percentage = 90 ) : """Computes the central credible interval . If percentage = 90 , computes the 90 % CI . Args : percentage : float between 0 and 100 Returns : sequence of two floats , low and high"""
prob = ( 1 - percentage / 100.0 ) / 2 interval = self . Value ( prob ) , self . Value ( 1 - prob ) return interval
def convert ( gr , raw_node ) : """Convert raw node information to a Node or Leaf instance . This is passed to the parser driver which calls it whenever a reduction of a grammar rule produces a new complete node , so that the tree is build strictly bottom - up ."""
type , value , context , children = raw_node if children or type in gr . number2symbol : # If there ' s exactly one child , return that child instead of # creating a new node . if len ( children ) == 1 : return children [ 0 ] return Node ( type , children , context = context ) else : return Leaf ( t...
def assign_method ( stochastic , scale = None , verbose = - 1 ) : """Returns a step method instance to handle a variable . If several methods have the same competence , it picks one arbitrarily ( using set . pop ( ) ) ."""
# Retrieve set of best candidates best_candidates = pick_best_methods ( stochastic ) # Randomly grab and appropriate method method = best_candidates . pop ( ) failure_header = """Failed attempting to automatically assign step method class %s to stochastic variable %s. Try setting %s's competence method to return 0 and ...
def main ( ) : """Zebrafish : 1 . Map ENSP to ZFIN Ids using Intermine 2 . Map deprecated ENSP IDs to ensembl genes by querying the ensembl database then use intermine to resolve to gene IDs Mouse : Map deprecated ENSP IDs to ensembl genes by querying the ensembl database then use intermine to resolve...
parser = argparse . ArgumentParser ( usage = __doc__ ) parser . add_argument ( '--config' , '-c' , required = True , help = 'JSON configuration file' ) parser . add_argument ( '--out' , '-o' , required = False , help = 'output directory' , default = "./" ) parser . add_argument ( '--use_cache' , '-cached' , action = "s...
def search_expression_levels ( self , rna_quantification_id = "" , names = [ ] , threshold = 0.0 ) : """Returns an iterator over the ExpressionLevel objects from the server : param str feature _ ids : The IDs of the : class : ` ga4gh . protocol . Feature ` of interest . : param str rna _ quantification _ id :...
request = protocol . SearchExpressionLevelsRequest ( ) request . rna_quantification_id = rna_quantification_id request . names . extend ( names ) request . threshold = threshold request . page_size = pb . int ( self . _page_size ) return self . _run_search_request ( request , "expressionlevels" , protocol . SearchExpre...
def factory ( name , desc , type , subtypes = None , required = True , default = None , ctor = None , hide = False , ) : """desc : > Creates a DocStringArg and recursively includes child docstrings if they are not JSON types . args : - name : name desc : The name of the argument type : str - name : de...
if ctor : type_assert ( ctor , str ) module_name , cls_name , method_name = ctor . rsplit ( '.' , 2 ) module = importlib . import_module ( module_name ) cls = getattr ( module , cls_name ) method = getattr ( cls , method_name ) docstring = DocString . from_ctor ( method ) else : docstring = ...
def send_exit_with_code ( cls , sock , code ) : """Send an Exit chunk over the specified socket , containing the specified return code ."""
encoded_exit_status = cls . encode_int ( code ) cls . send_exit ( sock , payload = encoded_exit_status )
def array ( a , dtype : type = None , ** kwargs ) -> np . ndarray : "Same as ` np . array ` but also handles generators . ` kwargs ` are passed to ` np . array ` with ` dtype ` ."
if not isinstance ( a , collections . Sized ) and not getattr ( a , '__array_interface__' , False ) : a = list ( a ) if np . int_ == np . int32 and dtype is None and is_listy ( a ) and len ( a ) and isinstance ( a [ 0 ] , int ) : dtype = np . int64 return np . array ( a , dtype = dtype , ** kwargs )
def get_mappings_for_fit ( self , dense = False ) : """Parameters dense : bool , optional . Dictates if sparse matrices will be returned or dense numpy arrays . Returns mapping _ dict : OrderedDict . Keys will be ` [ " rows _ to _ obs " , " rows _ to _ alts " , " chosen _ row _ to _ obs " , " rows _ to ...
return create_long_form_mappings ( self . data , self . obs_id_col , self . alt_id_col , choice_col = self . choice_col , nest_spec = self . nest_spec , mix_id_col = self . mixing_id_col , dense = dense )
def setValue ( self , value ) : """Sets the value that will be used for this query instance . : param value < variant >"""
self . __value = projex . text . decoded ( value ) if isinstance ( value , ( str , unicode ) ) else value
def build_query ( self ) : '''Using the three graphs derived from self . _ diff _ graph ( ) , build a sparql update query in the format : PREFIX foo : < http : / / foo . com > PREFIX bar : < http : / / bar . com > DELETE { . . . } INSERT { . . . } WHERE { . . . } Args : None : uses variables from self...
# derive namespaces to include prefixes in Sparql update query self . _derive_namespaces ( ) sparql_query = '' # add prefixes for ns_prefix , ns_uri in self . update_prefixes . items ( ) : sparql_query += "PREFIX %s: <%s>\n" % ( ns_prefix , str ( ns_uri ) ) # deletes removed_serialized = self . diffs . removed . se...
def set_schema_to_public ( self ) : """Instructs to stay in the common ' public ' schema ."""
self . tenant = FakeTenant ( schema_name = get_public_schema_name ( ) ) self . schema_name = get_public_schema_name ( ) self . set_settings_schema ( self . schema_name ) self . search_path_set = False
def _AnyMessageToJsonObject ( self , message ) : """Converts Any message according to Proto3 JSON Specification ."""
if not message . ListFields ( ) : return { } # Must print @ type first , use OrderedDict instead of { } js = OrderedDict ( ) type_url = message . type_url js [ '@type' ] = type_url sub_message = _CreateMessageFromTypeUrl ( type_url ) sub_message . ParseFromString ( message . value ) message_descriptor = sub_message...
def delete_event ( self , id , ** data ) : """DELETE / events / : id / Deletes an event if the delete is permitted . In order for a delete to be permitted , there must be no pending or completed orders . Returns a boolean indicating success or failure of the delete ."""
return self . delete ( "/events/{0}/" . format ( id ) , data = data )
def delaunay_2d ( self , tol = 1e-05 , alpha = 0.0 , offset = 1.0 , bound = False , inplace = False ) : """Apply a delaunay 2D filter along the best fitting plane"""
alg = vtk . vtkDelaunay2D ( ) alg . SetProjectionPlaneMode ( vtk . VTK_BEST_FITTING_PLANE ) alg . SetInputDataObject ( self ) alg . SetTolerance ( tol ) alg . SetAlpha ( alpha ) alg . SetOffset ( offset ) alg . SetBoundingTriangulation ( bound ) alg . Update ( ) mesh = _get_output ( alg ) if inplace : self . overwr...
def register_lookup ( cls , lookup , lookup_name = None ) : """Register a Lookup to a class"""
if lookup_name is None : lookup_name = lookup . lookup_name if 'class_lookups' not in cls . __dict__ : cls . class_lookups = { } cls . class_lookups [ lookup_name ] = lookup cls . _clear_cached_lookups ( ) return lookup
def DefaultSelector ( ) : """This function serves as a first call for DefaultSelector to detect if the select module is being monkey - patched incorrectly by eventlet , greenlet , and preserve proper behavior ."""
global _DEFAULT_SELECTOR if _DEFAULT_SELECTOR is None : if platform . python_implementation ( ) == 'Jython' : # Platform - specific : Jython _DEFAULT_SELECTOR = JythonSelectSelector elif _can_allocate ( 'kqueue' ) : _DEFAULT_SELECTOR = KqueueSelector elif _can_allocate ( 'devpoll' ) : ...
def _cosine ( a , b ) : """Return the len ( a & b ) / len ( a )"""
return 1. * len ( a & b ) / ( math . sqrt ( len ( a ) ) * math . sqrt ( len ( b ) ) )
def link_text ( self ) : """Get a text represention of the links node . : return :"""
s = '' links_node = self . metadata . find ( 'links' ) if links_node is None : return s links = links_node . getchildren ( ) if links is None : return s s += 'IOC Links\n' for link in links : rel = link . attrib . get ( 'rel' , 'No Rel' ) href = link . attrib . get ( 'href' ) text = link . text ...
def customer_lifetime_value ( self , transaction_prediction_model , frequency , recency , T , monetary_value , time = 12 , discount_rate = 0.01 , freq = "D" ) : """Return customer lifetime value . This method computes the average lifetime value for a group of one or more customers . Parameters transaction _...
# use the Gamma - Gamma estimates for the monetary _ values adjusted_monetary_value = self . conditional_expected_average_profit ( frequency , monetary_value ) return _customer_lifetime_value ( transaction_prediction_model , frequency , recency , T , adjusted_monetary_value , time , discount_rate , freq = freq )
def persist_perf ( run , session , svg_path ) : """Persist the flamegraph in the database . The flamegraph exists as a SVG image on disk until we persist it in the database . Args : run : The run we attach these perf measurements to . session : The db transaction we belong to . svg _ path : The path to ...
from benchbuild . utils import schema as s with open ( svg_path , 'r' ) as svg_file : svg_data = svg_file . read ( ) session . add ( s . Metadata ( name = "perf.flamegraph" , value = svg_data , run_id = run . id ) )
def sample_forecast_max_hail ( self , dist_model_name , condition_model_name , num_samples , condition_threshold = 0.5 , query = None ) : """Samples every forecast hail object and returns an empirical distribution of possible maximum hail sizes . Hail sizes are sampled from each predicted gamma distribution . The...
if query is not None : dist_forecasts = self . matched_forecasts [ "dist" ] [ dist_model_name ] . query ( query ) dist_forecasts = dist_forecasts . reset_index ( drop = True ) condition_forecasts = self . matched_forecasts [ "condition" ] [ condition_model_name ] . query ( query ) condition_forecasts = ...
def parse_query_parms ( method , uri , query_str ) : """Parse the specified query parms string and return a dictionary of query parameters . The key of each dict item is the query parameter name , and the value of each dict item is the query parameter value . If a query parameter shows up more than once , the...
if not query_str : return None query_parms = { } for query_item in query_str . split ( '&' ) : # Example for these items : ' name = a % 20b ' if query_item == '' : continue items = query_item . split ( '=' ) if len ( items ) != 2 : raise BadRequestError ( method , uri , reason = 1 , mess...
def from_data ( data ) : """Create a chunk from data including header and length bytes ."""
header , length = struct . unpack ( '4s<I' , data [ : 8 ] ) data = data [ 8 : ] return RiffDataChunk ( header , data )
def check_and_order_id_inputs ( rid , ridx , cid , cidx , row_meta_df , col_meta_df ) : """Makes sure that ( if entered ) id inputs entered are of one type ( string id or index ) Input : - rid ( list or None ) : if not None , a list of rids - ridx ( list or None ) : if not None , a list of indexes - cid ( l...
( row_type , row_ids ) = check_id_idx_exclusivity ( rid , ridx ) ( col_type , col_ids ) = check_id_idx_exclusivity ( cid , cidx ) row_ids = check_and_convert_ids ( row_type , row_ids , row_meta_df ) ordered_ridx = get_ordered_idx ( row_type , row_ids , row_meta_df ) col_ids = check_and_convert_ids ( col_type , col_ids ...
def transform_data ( self , data ) : """Apply pre - processing transformation to data , and add it to data dict . Parameters data : instance of Segments segments including ' data ' ( ChanTime ) Returns instance of Segments same object with transformed data as ' trans _ data ' ( ChanTime )"""
trans = self . trans differ = trans [ 'diff' ] . get_value ( ) bandpass = trans [ 'bandpass' ] . get_value ( ) notch1 = trans [ 'notch1' ] . get_value ( ) notch2 = trans [ 'notch2' ] . get_value ( ) for seg in data : dat = seg [ 'data' ] if differ : dat = math ( dat , operator = diff , axis = 'time' ) ...
def GetPresetsInformation ( cls ) : """Retrieves the presets information . Returns : list [ tuple ] : containing : str : preset name str : comma separated parser names that are defined by the preset"""
parser_presets_information = [ ] for preset_definition in ParsersManager . GetPresets ( ) : preset_information_tuple = ( preset_definition . name , ', ' . join ( preset_definition . parsers ) ) # TODO : refactor to pass PresetDefinition . parser_presets_information . append ( preset_information_tuple ) retu...
def slamdunkUtrRatesPlot ( self ) : """Generate the UTR rates plot"""
cats = OrderedDict ( ) keys = [ 'T>C' , 'A>T' , 'A>G' , 'A>C' , 'T>A' , 'T>G' , 'G>A' , 'G>T' , 'G>C' , 'C>A' , 'C>T' , 'C>G' ] for i , v in enumerate ( keys ) : cats [ v ] = { 'color' : self . plot_cols [ i ] } pconfig = { 'id' : 'slamdunk_utrratesplot' , 'title' : 'Slamdunk: Overall conversion rates per UTR' , 'c...
def create_job ( self ) : """Create public Luna job Returns : job _ id ( basestring ) : Luna job id"""
my_user_agent = None try : my_user_agent = pkg_resources . require ( 'netort' ) [ 0 ] . version except pkg_resources . DistributionNotFound : my_user_agent = 'DistributionNotFound' finally : headers = { "User-Agent" : "Uploader/{uploader_ua}, {upward_ua}" . format ( upward_ua = self . meta . get ( 'user_age...
def on_config_value_changed ( self , config_m , prop_name , info ) : """Callback when a config value has been changed : param ConfigModel config _ m : The config model that has been changed : param str prop _ name : Should always be ' config ' : param dict info : Information e . g . about the changed config k...
config_key = info [ 'args' ] [ 1 ] if config_key in [ "EXECUTION_TICKER_ENABLED" ] : self . check_configuration ( )
def polyline ( self , arr ) : """Draw a set of lines"""
for i in range ( 0 , len ( arr ) - 1 ) : self . line ( arr [ i ] [ 0 ] , arr [ i ] [ 1 ] , arr [ i + 1 ] [ 0 ] , arr [ i + 1 ] [ 1 ] )
def submit ( self ) : """Partitions the file into chunks and submits them into group of 4 for download on the api download pool ."""
futures = [ ] while self . submitted < 4 and not self . done ( ) : part = self . parts . pop ( 0 ) futures . append ( self . pool . submit ( _download_part , self . file_path , self . session , self . url , self . retry , self . timeout , * part ) ) self . submitted += 1 self . total_submitted += 1 retu...