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def get_sql ( self ) : """Generates the sql used for the limit clause of a Query : return : the sql for the limit clause of a Query : rtype : str"""
sql = '' if self . limit and self . limit > 0 : sql += 'LIMIT {0} ' . format ( self . limit ) if self . offset and self . offset > 0 : sql += 'OFFSET {0} ' . format ( self . offset ) return sql
def set_include_rts ( self , rts ) : """Sets ' include _ rts ' parameter . When set to False , the timeline will strip any native retweets from the returned timeline : param rts : Boolean triggering the usage of the parameter : raises : TwitterSearchException"""
if not isinstance ( rts , bool ) : raise TwitterSearchException ( 1008 ) self . arguments . update ( { 'include_rts' : 'true' if rts else 'false' } )
def main ( argString = None ) : """The main function . : param argString : the options . : type argString : list These are the steps : 1 . Prints the options . 2 . Computes the frequencies using Plinl ( : py : func : ` computeFrequency ` ) . 3 . Finds markers with MAF of 0 , and saves them in a file (...
# Getting and checking the options args = parseArgs ( argString ) checkArgs ( args ) logger . info ( "Options used:" ) for key , value in vars ( args ) . iteritems ( ) : logger . info ( " --{} {}" . format ( key . replace ( "_" , "-" ) , value ) ) # Compute frequency using plink logger . info ( "Computing the freq...
def tree_is_in_collection ( collection , study_id = None , tree_id = None ) : """Takes a collection object ( or a filepath to collection object ) , returns True if it includes a decision to include the specified tree"""
included = collection_to_included_trees ( collection ) study_id = study_id . strip ( ) tree_id = tree_id . strip ( ) for decision in included : if decision [ 'studyID' ] == study_id and decision [ 'treeID' ] == tree_id : return True return False
def parse_args ( ) : """Parse the command line arguments"""
parser = argparse . ArgumentParser ( description = "Generate secrets for YubiKeys using YubiHSM" , add_help = True , formatter_class = argparse . ArgumentDefaultsHelpFormatter , ) parser . add_argument ( '-D' , '--device' , dest = 'device' , default = default_device , required = False , help = 'YubiHSM device' , ) pars...
def socketpair ( family = socket . AF_INET , type = socket . SOCK_STREAM , proto = 0 ) : """Emulate the Unix socketpair ( ) function on Windows ."""
# We create a connected TCP socket . Note the trick with setblocking ( 0) # that prevents us from having to create a thread . lsock = socket . socket ( family , type , proto ) lsock . bind ( ( 'localhost' , 0 ) ) lsock . listen ( 1 ) addr , port = lsock . getsockname ( ) csock = socket . socket ( family , type , proto ...
def document_path_path ( cls , project , database , document_path ) : """Return a fully - qualified document _ path string ."""
return google . api_core . path_template . expand ( "projects/{project}/databases/{database}/documents/{document_path=**}" , project = project , database = database , document_path = document_path , )
def lookup ( cls , basenote ) : """Look up note in registered annotations , walking class tree ."""
# Walk method resolution order , which includes current class . for c in cls . mro ( ) : if 'provider_registry' not in vars ( c ) : # class is a mixin , super to base class , or never registered . continue if basenote in c . provider_registry : # note is in the registry . return c . provider_reg...
def find_undeclared_variables ( ast ) : """Returns a set of all variables in the AST that will be looked up from the context at runtime . Because at compile time it ' s not known which variables will be used depending on the path the execution takes at runtime , all variables are returned . > > > from jinja...
codegen = TrackingCodeGenerator ( ast . environment ) codegen . visit ( ast ) return codegen . undeclared_identifiers
def _generate_remark_str ( self , end_of_line = '\n' ) : """Generate a series of remarks that the user should consider when interpreting the summary statistics ."""
warnings = { } msg = '{}' . format ( end_of_line ) # generate warnings for continuous variables if self . _continuous : # highlight far outliers outlier_mask = self . cont_describe . far_outliers > 1 outlier_vars = list ( self . cont_describe . far_outliers [ outlier_mask ] . dropna ( how = 'all' ) . index ) ...
def set ( clear = False , ** defaults ) : """Set default parameters for : class : ` lsqfit . nonlinear _ fit ` . Use to set default values for parameters : ` ` svdcut ` ` , ` ` debug ` ` , ` ` tol ` ` , ` ` maxit ` ` , and ` ` fitter ` ` . Can also set parameters specific to the fitter specified by the ` ` fi...
old_defaults = dict ( nonlinear_fit . DEFAULTS ) if clear : nonlinear_fit . DEFAULTS = { } for k in defaults : if k == 'fitter' and defaults [ k ] not in nonlinear_fit . FITTERS : raise ValueError ( 'unknown fitter: ' + str ( defaults [ k ] ) ) nonlinear_fit . DEFAULTS [ k ] = defaults [ k ] return ...
def _on_gateway ( self , header , payload , rest , addr ) : """Records a discovered gateway , for connecting to later ."""
if payload . get ( 'service' ) == SERVICE_UDP : self . gateway = Gateway ( addr [ 0 ] , payload [ 'port' ] , header . gateway ) self . gateway_found_event . set ( )
def put ( self , file_obj , full_path , overwrite = False ) : """Upload a file . > > > nd . put ( ' . / flower . png ' , ' / Picture / flower . png ' ) > > > nd . put ( open ( ' . / flower . png ' , ' r ' ) , ' / Picture / flower . png ' ) : param file _ obj : A file - like object to check whether possible to...
try : file_obj = open ( file_obj , 'r' ) except : file_obj = file_obj # do nothing content = file_obj . read ( ) file_name = os . path . basename ( full_path ) now = datetime . datetime . now ( ) . isoformat ( ) url = nurls [ 'put' ] + full_path if overwrite : overwrite = 'T' else : overwrite = 'F' head...
def create_table_from_tabledata ( self , table_data , primary_key = None , add_primary_key_column = False , index_attrs = None ) : """Create a table from : py : class : ` tabledata . TableData ` . : param tabledata . TableData table _ data : Table data to create . : param str primary _ key : | primary _ key | ...
self . __create_table_from_tabledata ( table_data , primary_key , add_primary_key_column , index_attrs )
def cql_query_with_prepare ( query , statement_name , statement_arguments , callback_errors = None , contact_points = None , port = None , cql_user = None , cql_pass = None , ** kwargs ) : '''Run a query on a Cassandra cluster and return a dictionary . This function should not be used asynchronously for SELECTs -...
# Backward - compatibility with Python 3.7 : " async " is a reserved word asynchronous = kwargs . get ( 'async' , False ) try : cluster , session = _connect ( contact_points = contact_points , port = port , cql_user = cql_user , cql_pass = cql_pass ) except CommandExecutionError : log . critical ( 'Could not ge...
def add_compression ( self , compression = True ) : """Add an instruction enabling or disabling compression for the transmitted raster image lines . Not all models support compression . If the specific model doesn ' t support it but this method is called trying to enable it , either a warning is set or an excep...
if self . model not in compressionsupport : self . _unsupported ( "Trying to set compression on a printer that doesn't support it" ) return self . _compression = compression self . data += b'\x4D' self . data += bytes ( [ compression << 1 ] )
def write_parent ( self , url_data ) : """Write url _ data . parent _ url ."""
self . write ( self . part ( 'parenturl' ) + self . spaces ( "parenturl" ) ) txt = url_data . parent_url if url_data . line > 0 : txt += _ ( ", line %d" ) % url_data . line if url_data . column > 0 : txt += _ ( ", col %d" ) % url_data . column if url_data . page > 0 : txt += _ ( ", page %d" ) % url_data . p...
def prep_jid ( nocache = False , passed_jid = None ) : '''Return a job id and prepare the job id directory This is the function responsible for making sure jids don ' t collide ( unless its passed a jid ) . So do what you have to do to make sure that stays the case'''
conn = _get_conn ( ) if conn is None : return None cur = conn . cursor ( ) if passed_jid is None : jid = _gen_jid ( cur ) else : jid = passed_jid while not jid : log . info ( "jid clash, generating a new one" ) jid = _gen_jid ( cur ) cur . close ( ) conn . close ( ) return jid
def confd_state_internal_cdb_datastore_name ( self , ** kwargs ) : """Auto Generated Code"""
config = ET . Element ( "config" ) confd_state = ET . SubElement ( config , "confd-state" , xmlns = "http://tail-f.com/yang/confd-monitoring" ) internal = ET . SubElement ( confd_state , "internal" ) cdb = ET . SubElement ( internal , "cdb" ) datastore = ET . SubElement ( cdb , "datastore" ) name = ET . SubElement ( da...
def getServiceJobsToStart ( self , maxWait ) : """: param float maxWait : Time in seconds to wait to get a job before returning . : return : a tuple of ( serviceJobStoreID , memory , cores , disk , . . ) representing a service job to start . : rtype : toil . job . ServiceJobNode"""
try : serviceJob = self . _serviceJobGraphsToStart . get ( timeout = maxWait ) assert self . jobsIssuedToServiceManager >= 0 self . jobsIssuedToServiceManager -= 1 return serviceJob except Empty : return None
def GetNumberOfEventSources ( self ) : """Retrieves the number event sources . Returns : int : number of event sources ."""
number_of_event_sources = self . _CountStoredAttributeContainers ( self . _CONTAINER_TYPE_EVENT_SOURCE ) number_of_event_sources += self . _GetNumberOfSerializedAttributeContainers ( self . _CONTAINER_TYPE_EVENT_SOURCE ) return number_of_event_sources
def get_session ( self , sid , namespace = None ) : """Return the user session for a client . The only difference with the : func : ` socketio . Server . get _ session ` method is that when the ` ` namespace ` ` argument is not given the namespace associated with the class is used ."""
return self . server . get_session ( sid , namespace = namespace or self . namespace )
def p_exit ( p ) : """statement : EXIT WHILE | EXIT DO | EXIT FOR"""
q = p [ 2 ] p [ 0 ] = make_sentence ( 'EXIT_%s' % q ) for i in gl . LOOPS : if q == i [ 0 ] : return syntax_error ( p . lineno ( 1 ) , 'Syntax Error: EXIT %s out of loop' % q )
def list_arj ( archive , compression , cmd , verbosity , interactive ) : """List an ARJ archive ."""
cmdlist = [ cmd ] if verbosity > 1 : cmdlist . append ( 'v' ) else : cmdlist . append ( 'l' ) if not interactive : cmdlist . append ( '-y' ) cmdlist . extend ( [ '-r' , archive ] ) return cmdlist
def _read_para_puzzle ( self , code , cbit , clen , * , desc , length , version ) : """Read HIP PUZZLE parameter . Structure of HIP PUZZLE parameter [ RFC 5201 ] [ RFC 7401 ] : 0 1 2 3 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 | Type | Length | | # K , 1 byte | Lifetime | Opaque , 2 ...
if version == 1 and clen != 12 : raise ProtocolError ( f'HIPv{version}: [Parano {code}] invalid format' ) _numk = self . _read_unpack ( 1 ) _time = self . _read_unpack ( 1 ) _opak = self . _read_fileng ( 2 ) _rand = self . _read_unpack ( clen - 4 ) puzzle = dict ( type = desc , critical = cbit , length = clen , num...
def _windows_iqn ( ) : '''Return iSCSI IQN from a Windows host .'''
ret = [ ] wmic = salt . utils . path . which ( 'wmic' ) if not wmic : return ret namespace = r'\\root\WMI' path = 'MSiSCSIInitiator_MethodClass' get = 'iSCSINodeName' cmd_ret = salt . modules . cmdmod . run_all ( '{0} /namespace:{1} path {2} get {3} /format:table' '' . format ( wmic , namespace , path , get ) ) for...
def gather_demonstrations_as_hdf5 ( directory , out_dir ) : """Gathers the demonstrations saved in @ directory into a single hdf5 file , and another directory that contains the raw model . xml files . The strucure of the hdf5 file is as follows . data ( group ) date ( attribute ) - date of collection ti...
# store model xmls in this directory model_dir = os . path . join ( out_dir , "models" ) if os . path . isdir ( model_dir ) : shutil . rmtree ( model_dir ) os . makedirs ( model_dir ) hdf5_path = os . path . join ( out_dir , "demo.hdf5" ) f = h5py . File ( hdf5_path , "w" ) # store some metadata in the attributes o...
def read_metrics ( self , els_client = None ) : """Reads the bibliographic metrics for this author from api . elsevier . com and updates self . data with them . Returns True if successful ; else , False ."""
try : api_response = els_client . exec_request ( self . uri + "?field=document-count,cited-by-count,citation-count,h-index,dc:identifier" ) data = api_response [ self . __payload_type ] [ 0 ] if not self . data : self . _data = dict ( ) self . _data [ 'coredata' ] = dict ( ) self . _data...
def stubs_clustering ( network , use_reduced_coordinates = True , line_length_factor = 1.0 ) : """Cluster network by reducing stubs and stubby trees ( i . e . sequentially reducing dead - ends ) . Parameters network : pypsa . Network use _ reduced _ coordinates : boolean If True , do not average clusters ...
busmap = busmap_by_stubs ( network ) # reset coordinates to the new reduced guys , rather than taking an average if use_reduced_coordinates : # TODO : FIX THIS HACK THAT HAS UNEXPECTED SIDE - EFFECTS , # i . e . network is changed in place ! ! network . buses . loc [ busmap . index , [ 'x' , 'y' ] ] = network . bus...
def target_str_to_list ( target_str ) : """Parses a targets string into a list of individual targets ."""
new_list = list ( ) for target in target_str . split ( ',' ) : target = target . strip ( ) target_list = target_to_list ( target ) if target_list : new_list . extend ( target_list ) else : LOGGER . info ( "{0}: Invalid target value" . format ( target ) ) return None return list (...
async def kill_job ( self , message : BackendKillJob ) : """Handles ` kill ` messages . Kill things ."""
try : if message . job_id in self . _container_for_job : self . _containers_killed [ self . _container_for_job [ message . job_id ] ] = "killed" await self . _docker . kill_container ( self . _container_for_job [ message . job_id ] ) else : self . _logger . warning ( "Cannot kill contain...
def _create_context_manager ( self , mode ) : "Create a context manager that sends ' mode ' commands to the client ."
class mode_context_manager ( object ) : def __enter__ ( * a ) : self . send_packet ( { 'cmd' : 'mode' , 'data' : mode } ) def __exit__ ( * a ) : self . send_packet ( { 'cmd' : 'mode' , 'data' : 'restore' } ) return mode_context_manager ( )
def collapse_short_branches ( self , threshold ) : '''Collapse internal branches ( not terminal branches ) with length less than or equal to ` ` threshold ` ` . A branch length of ` ` None ` ` is considered 0 Args : ` ` threshold ` ` ( ` ` float ` ` ) : The threshold to use when collapsing branches'''
if not isinstance ( threshold , float ) and not isinstance ( threshold , int ) : raise RuntimeError ( "threshold must be an integer or a float" ) elif threshold < 0 : raise RuntimeError ( "threshold cannot be negative" ) q = deque ( ) ; q . append ( self . root ) while len ( q ) != 0 : next = q . popleft ( ...
def difference ( self , * others ) : """Return the difference of two or more sets as a new set . > > > from ngram import NGram > > > a = NGram ( [ ' spam ' , ' eggs ' ] ) > > > b = NGram ( [ ' spam ' , ' ham ' ] ) > > > list ( a . difference ( b ) ) [ ' eggs ' ]"""
return self . copy ( super ( NGram , self ) . difference ( * others ) )
def post ( self , path , data = None , json_data = None , params = None ) : """Perform POST request"""
r = requests . post ( url = self . url + path , data = data , json = json_data , params = params , timeout = self . timeout ) try : r . raise_for_status ( ) except requests . exceptions . HTTPError : raise SwitcheoApiException ( r . json ( ) [ 'error_code' ] , r . json ( ) [ 'error_message' ] , r . json ( ) [ '...
def label ( self , request , tag ) : """Render the label of the wrapped L { Parameter } or L { ChoiceParameter } instance ."""
if self . parameter . label : tag [ self . parameter . label ] return tag
def get_software_info ( self ) : """Return the current software status ."""
self . request ( EP_GET_SOFTWARE_INFO ) return { } if self . last_response is None else self . last_response . get ( 'payload' )
def cli ( ctx , profile , region , lambda_fn , config , debug ) : """cruddy is a CLI interface to the cruddy handler . It can be used in one of two ways . First , you can pass in a ` ` - - config ` ` option which is a JSON file containing all of your cruddy parameters and the CLI will create a cruddy handle...
ctx . obj = CLIHandler ( profile , region , lambda_fn , config , debug )
def ungrant_role ( self , principal , role , object = None ) : """Ungrant ` role ` to ` user ` ( either globally , if ` object ` is None , or on the specific ` object ` ) ."""
assert principal principal = unwrap ( principal ) session = object_session ( object ) if object is not None else db . session manager = self . _current_user_manager ( session = session ) args = { "role" : role , "object" : object , "anonymous" : False , "user" : None , "group" : None , } query = session . query ( RoleA...
def seek ( self , pos , whence = _SEEK_SET ) : """Set the current position of this file . : Parameters : - ` pos ` : the position ( or offset if using relative positioning ) to seek to - ` whence ` ( optional ) : where to seek from . : attr : ` os . SEEK _ SET ` ( ` ` 0 ` ` ) for absolute file positioni...
if whence == _SEEK_SET : new_pos = pos elif whence == _SEEK_CUR : new_pos = self . __position + pos elif whence == _SEEK_END : new_pos = int ( self . length ) + pos else : raise IOError ( 22 , "Invalid value for `whence`" ) if new_pos < 0 : raise IOError ( 22 , "Invalid value for `pos` - must be pos...
def rules ( self , x , y ) : # type : ( int , int ) - > List [ Type [ Rule ] ] """Get rules at specific position in the structure . : param x : X coordinate : param y : Y coordinate : return : List of rules"""
return [ r for r in self . _field [ y ] [ x ] ]
def monitored ( name , ** params ) : '''Makes sure an URL is monitored by uptime . Checks if URL is already monitored , and if not , adds it .'''
ret = { 'name' : name , 'changes' : { } , 'result' : None , 'comment' : '' } if __salt__ [ 'uptime.check_exists' ] ( name = name ) : ret [ 'result' ] = True ret [ 'comment' ] = 'URL {0} is already monitored' . format ( name ) ret [ 'changes' ] = { } return ret if not __opts__ [ 'test' ] : url_monito...
def trunc ( qstart , qend , sstart , send , qlen , slen ) : """Check if a query sequence is truncated by the end of a subject sequence Args : qstart ( int pandas . Series ) : Query sequence start index qend ( int pandas . Series ) : Query sequence end index sstart ( int pandas . Series ) : Subject sequence ...
ssum2 = ( send + sstart ) / 2.0 sabs2 = np . abs ( send - sstart ) / 2.0 smax = ssum2 + sabs2 smin = ssum2 - sabs2 q_match_len = np . abs ( qstart - qend ) + 1 return ( q_match_len < qlen ) & ( ( smax >= slen ) | ( smin <= 1 ) )
def opened ( self ) : """Handler called when the WebSocket connection is opened . The first thing to do then is to authenticate ourselves ."""
request = { 'type' : 'authenticate' , 'token' : self . _token , 'userAgent' : '{} ws4py/{}' . format ( version . user_agent , ws4py . __version__ ) , } self . send ( json . dumps ( request ) )
def is_writeable ( value , ** kwargs ) : """Indicate whether ` ` value ` ` is a writeable file . . . caution : : This validator does * * NOT * * work correctly on a Windows file system . This is due to the vagaries of how Windows manages its file system and the various ways in which it can manage file permi...
if sys . platform in [ 'win32' , 'cygwin' ] : raise NotImplementedError ( 'not supported on Windows' ) try : validators . writeable ( value , allow_empty = False , ** kwargs ) except SyntaxError as error : raise error except Exception : return False return True
def email ( self , repo , event , fields , dryrun = False ) : """Sends an email to the configured recipients for the specified event . : arg repo : the name of the repository to include in the email subject . : arg event : one of [ " start " , " success " , " failure " , " timeout " , " error " ] . : arg fiel...
tcontents = self . _get_template ( event , "txt" , fields ) hcontents = self . _get_template ( event , "html" , fields ) if tcontents is not None and hcontents is not None : return Email ( self . server , repo , self . settings [ repo ] , tcontents , hcontents , dryrun )
def posterior_to_xarray ( self ) : """Convert the posterior to an xarray dataset ."""
var_names = self . pymc3 . util . get_default_varnames ( # pylint : disable = no - member self . trace . varnames , include_transformed = False ) data = { } for var_name in var_names : data [ var_name ] = np . array ( self . trace . get_values ( var_name , combine = False , squeeze = False ) ) return dict_to_datase...
def initialize_worker ( self , process_num = None ) : """inits producer for a simulation run on a single process"""
for p in self . producers : p . initialize_worker ( process_num ) # self . initial _ state . process = process _ num self . random . seed ( hash ( self . seed ) + hash ( process_num ) )
def _try_coerce_args ( self , values , other ) : """provide coercion to our input arguments"""
if np . any ( notna ( other ) ) and not self . _can_hold_element ( other ) : # coercion issues # let higher levels handle raise TypeError ( "cannot convert {} to an {}" . format ( type ( other ) . __name__ , type ( self ) . __name__ . lower ( ) . replace ( 'Block' , '' ) ) ) return values , other
def save ( self ) : """Convert to JSON . Returns ` dict ` JSON data ."""
data = super ( ) . save ( ) data [ 'state_sizes' ] = self . state_sizes data [ 'reset_on_sentence_end' ] = self . reset_on_sentence_end return data
def delete ( gandi , domain , zone_id , name , type , value ) : """Delete a record entry for a domain"""
if not zone_id : result = gandi . domain . info ( domain ) zone_id = result [ 'zone_id' ] if not zone_id : gandi . echo ( 'No zone records found, domain %s doesn\'t seems to be ' 'managed at Gandi.' % domain ) return if not name and not type and not value : proceed = click . confirm ( 'This command ...
def get_revision_history ( brain_or_object ) : """Get the revision history for the given brain or context . : param brain _ or _ object : A single catalog brain or content object : type brain _ or _ object : ATContentType / DexterityContentType / CatalogBrain : returns : Workflow history : rtype : obj"""
obj = get_object ( brain_or_object ) chv = ContentHistoryView ( obj , safe_getattr ( obj , "REQUEST" , None ) ) return chv . fullHistory ( )
def parse_options ( ) : """Parse command line arguments . Returns : options , args"""
parser = argparse . ArgumentParser ( description = 'Video downloader by radzak.' , prog = 'RTVdownloader' ) urls_group = parser . add_mutually_exclusive_group ( required = True ) urls_group . add_argument ( 'urls' , type = str , metavar = 'URL' , default = [ ] , nargs = '*' , help = 'urls of sites containing videos you...
def do_options ( self , labels : Sequence [ str ] , values : Sequence [ Union [ str , int ] ] ) -> Sequence [ Dict ] : """Replace the checkbox options . Parameters labels : array - like List of strings which will be visible to the user . values : array - like List of values associated with the labels that...
return [ { 'label' : label , 'value' : value } for label , value in zip ( labels , values ) ]
def writelines_nl ( fileobj : TextIO , lines : Iterable [ str ] ) -> None : """Writes lines , plus terminating newline characters , to the file . ( Since : func : ` fileobj . writelines ` doesn ' t add newlines . . . http : / / stackoverflow . com / questions / 13730107 / writelines - writes - lines - without -...
# noqa fileobj . write ( '\n' . join ( lines ) + '\n' )
def get_term_before ( aterm ) : """Returns a uw _ sws . models . Term object , for the term before the term given ."""
prev_year = aterm . year prev_quarter = QUARTER_SEQ [ QUARTER_SEQ . index ( aterm . quarter ) - 1 ] if prev_quarter == "autumn" : prev_year -= 1 return get_term_by_year_and_quarter ( prev_year , prev_quarter )
def execute ( self , time_interval ) : """Execute the factor over the given time interval . Note that this is normally done by the workflow , but can also be done on the factor directly : param time _ interval : The time interval : return : self ( for chaining )"""
logging . info ( '{} running from {} to {}' . format ( self . tool . __class__ . __name__ , time_interval . start , time_interval . end ) ) # Execute the tool to produce the output plate values output_plate_values = { } if self . input_plate : for ipv in self . input_plate . values : if ipv in self . source...
def from_files ( controller , track_path , log_level = logging . ERROR ) : """Create rocket instance using project file connector"""
rocket = Rocket ( controller , track_path = track_path , log_level = log_level ) rocket . connector = FilesConnector ( track_path , controller = controller , tracks = rocket . tracks ) return rocket
def draw_categories ( self ) : """Draw the category labels on the Canvas"""
for label in self . _category_labels . values ( ) : label . destroy ( ) self . _category_labels . clear ( ) canvas_width = 0 for category in ( sorted ( self . _categories . keys ( ) if isinstance ( self . _categories , dict ) else self . _categories ) if not isinstance ( self . _categories , OrderedDict ) else self...
def condor_submit ( submit_file ) : """Submit a condor job described by the given file . Parse an external id for the submission or return None and a reason for the failure ."""
external_id = None try : submit = Popen ( ( 'condor_submit' , submit_file ) , stdout = PIPE , stderr = STDOUT ) message , _ = submit . communicate ( ) if submit . returncode == 0 : external_id = parse_external_id ( message , type = 'condor' ) else : message = PROBLEM_PARSING_EXTERNAL_ID ...
async def wait ( self , timeout = None ) : """Wait for this operation to finish . You can specify an optional timeout that defaults to no timeout if None is passed . The result of the operation is returned from this method . If the operation raised an exception , it is reraised from this method . Args : ...
await asyncio . wait_for ( self . _future , timeout ) if self . _exception is not None : self . _raise_exception ( ) return self . _result
def handle_receive ( request : RequestType , user : UserType = None , sender_key_fetcher : Callable [ [ str ] , str ] = None , skip_author_verification : bool = False ) -> Tuple [ str , str , List ] : """Takes a request and passes it to the correct protocol . Returns a tuple of : - sender id - protocol name ...
logger . debug ( "handle_receive: processing request: %s" , request ) found_protocol = identify_protocol_by_request ( request ) logger . debug ( "handle_receive: using protocol %s" , found_protocol . PROTOCOL_NAME ) protocol = found_protocol . Protocol ( ) sender , message = protocol . receive ( request , user , sender...
def verify ( self , proof , chal , state ) : """This returns True if the proof matches the challenge and file state : param proof : the proof that was returned from the server : param chal : the challenge sent to the server : param state : the state of the file , which can be encrypted"""
state . decrypt ( self . key ) index = KeyedPRF ( chal . key , state . chunks ) v = KeyedPRF ( chal . key , chal . v_max ) f = KeyedPRF ( state . f_key , self . prime ) alpha = KeyedPRF ( state . alpha_key , self . prime ) rhs = 0 for i in range ( 0 , chal . chunks ) : rhs += v . eval ( i ) * f . eval ( index . eva...
def _compute_mfcc_pure_python ( self ) : """Compute MFCCs using the pure Python code ."""
self . log ( u"Computing MFCCs using pure Python code..." ) try : self . __mfcc = MFCC ( rconf = self . rconf , logger = self . logger ) . compute_from_data ( self . audio_file . audio_samples , self . audio_file . audio_sample_rate ) . transpose ( ) self . log ( u"Computing MFCCs using pure Python code... done...
def process_exception ( self , request , exception ) : """Log error info when exception occurred ."""
log_format = self . _get_log_format ( request ) if log_format is None : return params = self . _get_parameters_from_request ( request , True ) params [ 'message' ] = exception params [ 'http_status' ] = '-' self . OPERATION_LOG . info ( log_format , params )
def new_max_pool ( self , name : str , kernel_size : tuple , stride_size : tuple , padding = 'SAME' , input_layer_name : str = None ) : """Creates a new max pooling layer . : param name : name for the layer . : param kernel _ size : tuple containing the size of the kernel ( Width , Height ) : param stride _ s...
self . __validate_padding ( padding ) input_layer = self . __network . get_layer ( input_layer_name ) output = tf . nn . max_pool ( input_layer , ksize = [ 1 , kernel_size [ 1 ] , kernel_size [ 0 ] , 1 ] , strides = [ 1 , stride_size [ 1 ] , stride_size [ 0 ] , 1 ] , padding = padding , name = name ) self . __network ....
def parse_localclasspath ( self , tup_tree ) : """Parse a LOCALCLASSPATH element and return the class path it represents as a CIMClassName object . < ! ELEMENT LOCALCLASSPATH ( LOCALNAMESPACEPATH , CLASSNAME ) >"""
self . check_node ( tup_tree , 'LOCALCLASSPATH' ) k = kids ( tup_tree ) if len ( k ) != 2 : raise CIMXMLParseError ( _format ( "Element {0!A} has invalid number of child elements " "{1!A} (expecting two child elements " "(LOCALNAMESPACEPATH, CLASSNAME))" , name ( tup_tree ) , k ) , conn_id = self . conn_id ) namesp...
def findSettingsModule ( ) : "Find the settings module dot path within django ' s manage . py file"
try : with open ( 'manage.py' , 'r' ) as manage : manage_contents = manage . read ( ) search = re . search ( r"([\"\'](?P<module>[a-z\.]+)[\"\'])" , manage_contents ) if search : # django version < 1.7 settings_mod = search . group ( "module" ) else : # in 1.7 , manage . ...
def pk_prom ( word ) : '''Return the number of stressed light syllables .'''
LIGHT = r'[ieaAoO]{1}[\.]*(u|y)(\.|$)' # # if the word is not monosyllabic , lop off the final syllable , which is # # extrametrical # if ' . ' in word : # word = word [ : word . rindex ( ' . ' ) ] # gather the indices of syllable boundaries delimiters = [ 0 , ] + [ i for i , char in enumerate ( word ) if char == '.' ]...
def compute ( self ) : """Compute and return one solution . This method checks whether the hard part of the formula is satisfiable , i . e . an MCS can be extracted . If the formula is satisfiable , the model computed by the SAT call is used as an * over - approximation * of the MCS in the method : func : `...
self . setd = [ ] self . satc = [ False for cl in self . soft ] # satisfied clauses self . solution = None self . bb_assumps = [ ] # backbone assumptions self . ss_assumps = [ ] # satisfied soft clause assumptions if self . oracle . solve ( ) : # hard part is satisfiable = > there is a solution self . _filter_satis...
def includeRect ( self , r ) : """Extend rectangle to include rectangle r ."""
if not len ( r ) == 4 : raise ValueError ( "bad sequ. length" ) self . x0 , self . y0 , self . x1 , self . y1 = TOOLS . _union_rect ( self , r ) return self
def is_contradictory ( self , other ) : """Returns True if the two DictCells are unmergeable ."""
if not isinstance ( other , DictCell ) : raise Exception ( "Incomparable" ) for key , val in self : if key in other . __dict__ [ 'p' ] and val . is_contradictory ( other . __dict__ [ 'p' ] [ key ] ) : return True return False
def _process_change ( self , payload , user , repo , repo_url , project , event , properties ) : """Consumes the JSON as a python object and actually starts the build . : arguments : payload Python Object that represents the JSON sent by GitHub Service Hook ."""
changes = [ ] refname = payload [ 'ref' ] # We only care about regular heads or tags match = re . match ( r"^refs/(heads|tags)/(.+)$" , refname ) if not match : log . msg ( "Ignoring refname `{}': Not a branch" . format ( refname ) ) return changes category = None # None is the legacy category for when hook onl...
def mm_top1 ( n_items , data , initial_params = None , alpha = 0.0 , max_iter = 10000 , tol = 1e-8 ) : """Compute the ML estimate of model parameters using the MM algorithm . This function computes the maximum - likelihood ( ML ) estimate of model parameters given top - 1 data ( see : ref : ` data - top1 ` ) , ...
return _mm ( n_items , data , initial_params , alpha , max_iter , tol , _mm_top1 )
def _button_plus_clicked ( self , n ) : """Create a new colorpoint ."""
self . _button_save . setEnabled ( True ) self . insert_colorpoint ( self . _colorpoint_list [ n ] [ 0 ] , self . _colorpoint_list [ n ] [ 1 ] , self . _colorpoint_list [ n ] [ 2 ] ) self . _build_gui ( )
def cmd ( ) : """Help to run the command line : return :"""
if os . path . isfile ( os . path . join ( os . path . join ( CWD , "juicy.py" ) ) ) : import_module ( "juicy" ) else : print ( "ERROR: Missing <<'juicy.py'>> @ %s" % CWD ) cli ( )
def async_refresh ( self , * args , ** kwargs ) : """Trigger an asynchronous job to refresh the cache"""
# We trigger the task with the class path to import as well as the # ( a ) args and kwargs for instantiating the class # ( b ) args and kwargs for calling the ' refresh ' method try : enqueue_task ( dict ( klass_str = self . class_path , obj_args = self . get_init_args ( ) , obj_kwargs = self . get_init_kwargs ( ) ...
def _dataset_concat ( datasets , dim , data_vars , coords , compat , positions ) : """Concatenate a sequence of datasets along a new or existing dimension"""
from . dataset import Dataset if compat not in [ 'equals' , 'identical' ] : raise ValueError ( "compat=%r invalid: must be 'equals' " "or 'identical'" % compat ) dim , coord = _calc_concat_dim_coord ( dim ) # Make sure we ' re working on a copy ( we ' ll be loading variables ) datasets = [ ds . copy ( ) for ds in d...
def from_xdr ( cls , xdr ) : """Create an : class : ` Asset ` object from its base64 encoded XDR representation . : param bytes xdr : The base64 encoded XDR Asset object . : return : A new : class : ` Asset ` object from its encoded XDR representation ."""
xdr_decoded = base64 . b64decode ( xdr ) asset = Xdr . StellarXDRUnpacker ( xdr_decoded ) asset_xdr_object = asset . unpack_Asset ( ) asset = Asset . from_xdr_object ( asset_xdr_object ) return asset
def __data_url ( self ) : """URL for posting metrics to the host agent . Only valid when announced ."""
path = AGENT_DATA_PATH % self . from_ . pid return "http://%s:%s/%s" % ( self . host , self . port , path )
def dataflow_to_dataset ( df , types ) : """Wrap a dataflow to tf . data . Dataset . This function will also reset the dataflow . If the dataflow itself is finite , the returned dataset is also finite . Therefore , if used for training , you ' ll need to add ` . repeat ( ) ` on the returned dataset . Args...
# TODO theoretically it can support dict assert isinstance ( df , DataFlow ) , df assert isinstance ( types , ( list , tuple ) ) , types df = MapData ( df , lambda dp : tuple ( dp ) ) df . reset_state ( ) ds = tf . data . Dataset . from_generator ( df . get_data , tuple ( types ) ) return ds
def _draw_frame ( self , framedata ) : """Reads , processes and draws the frames . If needed for color maps , conversions to gray scale are performed . In case the images are no color images and no custom color maps are defined , the colormap ` gray ` is applied . This function is called by TimedAnimation ....
original = self . read_frame ( ) if original is None : self . update_info ( self . info_string ( message = 'Finished.' , frame = framedata ) ) return if self . original is not None : processed = self . process_frame ( original . copy ( ) ) if self . cmap_original is not None : original = to_gray...
def get_region ( self , move_x , move_y ) : """Get region around a location ."""
top_left = ( max ( move_y - 1 , 0 ) , max ( move_x - 1 , 0 ) ) bottom_right = ( min ( move_y + 1 , self . board_height - 1 ) , min ( move_x + 1 , self . board_width - 1 ) ) region_sum = self . mine_map [ top_left [ 0 ] : bottom_right [ 0 ] + 1 , top_left [ 1 ] : bottom_right [ 1 ] + 1 ] . sum ( ) return top_left , bott...
def generate_completions ( event ) : r"""Tab - completion : where the first tab completes the common suffix and the second tab lists all the completions ."""
b = event . current_buffer # When already navigating through completions , select the next one . if b . complete_state : b . complete_next ( ) else : event . cli . start_completion ( insert_common_part = True , select_first = False )
def _scale_to_int ( X , max_val = None ) : """Scales the array X such that it contains only integers ."""
if max_val is None : X = X / _gcd_array ( X ) else : X = X / max ( 1 / max_val , _gcd_array ( X ) ) return [ int ( entry ) for entry in X ]
def generate_model ( self , model_name = None , outfile = None ) : """Generate a counts model map from an XML model file using gtmodel . Parameters model _ name : str Name of the model . If no name is given it will use the baseline model . outfile : str Override the name of the output model file ."""
if model_name is not None : model_name = os . path . splitext ( model_name ) [ 0 ] if model_name is None or model_name == '' : srcmdl = self . files [ 'srcmdl' ] else : srcmdl = self . get_model_path ( model_name ) if not os . path . isfile ( srcmdl ) : raise Exception ( "Model file does not exist: %s" ...
def get ( key , default = - 1 ) : """Backport support for original codes ."""
if isinstance ( key , int ) : return Setting ( key ) if key not in Setting . _member_map_ : extend_enum ( Setting , key , default ) return Setting [ key ]
def run_cortex ( align_bams , items , ref_file , assoc_files , region = None , out_file = None ) : """Top level entry to regional de - novo based variant calling with cortex _ var ."""
raise NotImplementedError ( "Cortex currently out of date and needs reworking." ) if len ( align_bams ) == 1 : align_bam = align_bams [ 0 ] config = items [ 0 ] [ "config" ] else : raise NotImplementedError ( "Need to add multisample calling for cortex_var" ) if out_file is None : out_file = "%s-cortex....
def parse_header ( input_array ) : """Parse the header and return it along with the input array minus the header . : param input _ array the array to parse : return the codec , the length of the decoded array , the parameter and the remainder of the array"""
codec = struct . unpack ( mmtf . utils . constants . NUM_DICT [ 4 ] , input_array [ 0 : 4 ] ) [ 0 ] length = struct . unpack ( mmtf . utils . constants . NUM_DICT [ 4 ] , input_array [ 4 : 8 ] ) [ 0 ] param = struct . unpack ( mmtf . utils . constants . NUM_DICT [ 4 ] , input_array [ 8 : 12 ] ) [ 0 ] return codec , len...
def render_registration ( self ) : '''Render pinned points on video frame as red rectangle .'''
surface = self . get_surface ( ) if self . canvas is None or self . df_canvas_corners . shape [ 0 ] == 0 : return surface corners = self . df_canvas_corners . copy ( ) corners [ 'w' ] = 1 transform = self . canvas . shapes_to_canvas_transform canvas_corners = corners . values . dot ( transform . T . values ) . T po...
def _sort_records_map ( records ) : """Map function sorting records . Converts records to KeyValue protos , sorts them by key and writes them into new GCS file . Creates _ OutputFile entity to record resulting file name . Args : records : list of records which are serialized KeyValue protos ."""
ctx = context . get ( ) l = len ( records ) key_records = [ None ] * l logging . debug ( "Parsing" ) for i in range ( l ) : proto = kv_pb . KeyValue ( ) proto . ParseFromString ( records [ i ] ) key_records [ i ] = ( proto . key ( ) , records [ i ] ) logging . debug ( "Sorting" ) key_records . sort ( cmp = ...
def cast ( keys , data ) : """Cast a set of keys and an array to a Matrix object ."""
matrix = Matrix ( ) matrix . keys = keys matrix . data = data return matrix
def _get_template ( self , template_name , template_file ) : """Returns a Jinja2 template of the specified file ."""
template = os . path . join ( self . location , 'templates' , template_name , template_file ) return jinja2 . Template ( open ( template ) . read ( ) )
def send ( self , message_type , data , callback = None , one_way = False ) : """Sends a message of message _ type Args : message _ type ( validator _ pb2 . Message ) : enum value data ( bytes ) : serialized protobuf callback ( function ) : a callback function to call when a response to this message is re...
message = validator_pb2 . Message ( correlation_id = _generate_id ( ) , content = data , message_type = message_type ) fut = future . Future ( message . correlation_id , message . content , callback , timeout = self . _connection_timeout ) if not one_way : self . _futures . put ( fut ) self . _send_receive_thread ....
def get ( self , template_name ) : """Get a specific template"""
template = db . Template . find_one ( template_name = template_name ) if not template : return self . make_response ( 'No such template found' , HTTP . NOT_FOUND ) return self . make_response ( { 'template' : template } )
def openlines ( image , linelength = 10 , dAngle = 10 , mask = None ) : """Do a morphological opening along lines of different angles . Return difference between max and min response to different angles for each pixel . This effectively removes dots and only keeps lines . image - pixel image to operate on l...
nAngles = 180 // dAngle openingstack = np . zeros ( ( nAngles , image . shape [ 0 ] , image . shape [ 1 ] ) , image . dtype ) for iAngle in range ( nAngles ) : angle = dAngle * iAngle se = strel_line ( linelength , angle ) openingstack [ iAngle , : , : ] = opening ( image , mask = mask , footprint = se ) im...
def clone ( self , document ) : '''Serialize a document , remove its _ id , and deserialize as a new object'''
wrapped = document . wrap ( ) if '_id' in wrapped : del wrapped [ '_id' ] return type ( document ) . unwrap ( wrapped , session = self )
def _download_log ( self , url , output_file ) : """Saves log returned by the message bus ."""
logger . info ( "Saving log %s to %s" , url , output_file ) def _do_log_download ( ) : try : return self . session . get ( url ) # pylint : disable = broad - except except Exception as err : logger . error ( err ) # log file may not be ready yet , wait a bit for __ in range ( 5 ) : log_d...
def delete_firewall_rule ( self , firewall_rule ) : '''Deletes the specified firewall rule'''
firewall_rule_id = self . _find_firewall_rule_id ( firewall_rule ) ret = self . network_conn . delete_firewall_rule ( firewall_rule_id ) return ret if ret else True
def to_lines ( s ) : """Like ` str . splitlines ( ) ` , except that an empty string results in a one - element list and a trailing newline results in a trailing empty string ( and all without re - implementing Python ' s changing line - splitting algorithm ) . > > > to _ lines ( ' ' ) > > > to _ lines ( '...
lines = s . splitlines ( True ) if not lines : return [ '' ] if lines [ - 1 ] . splitlines ( ) != [ lines [ - 1 ] ] : lines . append ( '' ) for i , l in enumerate ( lines ) : l2 = l . splitlines ( ) assert len ( l2 ) in ( 0 , 1 ) lines [ i ] = l2 [ 0 ] if l2 else '' if PY2 and isinstance ( s , str )...