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def eye ( N , M = 0 , k = 0 , ctx = None , dtype = None , ** kwargs ) : """Return a 2 - D array with ones on the diagonal and zeros elsewhere . Parameters N : int Number of rows in the output . M : int , optional Number of columns in the output . If 0 , defaults to N . k : int , optional Index of the ...
# pylint : disable = unused - argument if ctx is None : ctx = current_context ( ) dtype = mx_real_t if dtype is None else dtype # pylint : disable = no - member , protected - access return _internal . _eye ( N = N , M = M , k = k , ctx = ctx , dtype = dtype , ** kwargs )
def start ( ) : r"""Starts ec ."""
processPendingModules ( ) if not state . main_module_name in ModuleMembers : # don ' t start the core when main is not Ec - ed return MainModule = sys . modules [ state . main_module_name ] if not MainModule . __ec_member__ . Members : # there was some error while loading script ( s ) return global BaseGroup Ba...
def reset ( self , route = None ) : '''Reset all routes ( force plugins to be re - applied ) and clear all caches . If an ID or route object is given , only that specific route is affected .'''
if route is None : routes = self . routes elif isinstance ( route , Route ) : routes = [ route ] else : routes = [ self . routes [ route ] ] for route in routes : route . reset ( ) if DEBUG : for route in routes : route . prepare ( ) self . trigger_hook ( 'app_reset' )
def square_root_mod_prime ( a , p ) : """Modular square root of a , mod p , p prime ."""
# Based on the Handbook of Applied Cryptography , algorithms 3.34 to 3.39. # This module has been tested for all values in [ 0 , p - 1 ] for # every prime p from 3 to 1229. assert 0 <= a < p assert 1 < p if a == 0 : return 0 if p == 2 : return a jac = jacobi ( a , p ) if jac == - 1 : raise SquareRootError (...
def rewrite_properties ( self , properties ) : """Set the properties and write to disk ."""
with self . __library_storage_lock : self . __library_storage = properties self . __write_properties ( None )
def statuses_show ( self , id , trim_user = None , include_my_retweet = None , include_entities = None ) : """Returns a single Tweet , specified by the id parameter . https : / / dev . twitter . com / docs / api / 1.1 / get / statuses / show / % 3Aid : param str id : ( * required * ) The numerical ID of the d...
params = { 'id' : id } set_bool_param ( params , 'trim_user' , trim_user ) set_bool_param ( params , 'include_my_retweet' , include_my_retweet ) set_bool_param ( params , 'include_entities' , include_entities ) return self . _get_api ( 'statuses/show.json' , params )
def gha ( julian_day , f ) : """returns greenwich hour angle"""
rad = old_div ( np . pi , 180. ) d = julian_day - 2451545.0 + f L = 280.460 + 0.9856474 * d g = 357.528 + 0.9856003 * d L = L % 360. g = g % 360. # ecliptic longitude lamb = L + 1.915 * np . sin ( g * rad ) + .02 * np . sin ( 2 * g * rad ) # obliquity of ecliptic epsilon = 23.439 - 0.0000004 * d # right ascension ( in ...
def visual ( title , X , activation ) : '''create a grid of images and save it as a final image title : grid image name X : array of images'''
assert len ( X . shape ) == 4 X = X . transpose ( ( 0 , 2 , 3 , 1 ) ) if activation == 'sigmoid' : X = np . clip ( ( X ) * ( 255.0 ) , 0 , 255 ) . astype ( np . uint8 ) elif activation == 'tanh' : X = np . clip ( ( X + 1.0 ) * ( 255.0 / 2.0 ) , 0 , 255 ) . astype ( np . uint8 ) n = np . ceil ( np . sqrt ( X . s...
def listDatasetArray ( self , ** kwargs ) : """API to list datasets in DBS . : param dataset : list of datasets [ dataset1 , dataset2 , . . , dataset n ] ( Required if dataset _ id is not presented ) , Max length 1000. : type dataset : list : param dataset _ id : list of dataset _ ids that are the primary key...
validParameters = [ 'dataset' , 'dataset_access_type' , 'detail' , 'dataset_id' ] requiredParameters = { 'multiple' : [ 'dataset' , 'dataset_id' ] } checkInputParameter ( method = "listDatasetArray" , parameters = kwargs . keys ( ) , validParameters = validParameters , requiredParameters = requiredParameters ) # set de...
def generate_identifier ( result ) : """Returns a fixed length identifier based on a hash of a combined set of playbook / task values which are as close as we can guess to unique for each task ."""
# Determine the playbook file path to use for the ID if result . task . playbook and result . task . playbook . path : playbook_file = result . task . playbook . path else : playbook_file = '' play_path = u'%s.%s' % ( playbook_file , result . task . play . name ) # Determine the task file path to use for the ID...
def _add_saved_device_info ( self , ** kwarg ) : """Register device info from the saved data file ."""
addr = kwarg . get ( 'address' ) _LOGGER . debug ( 'Found saved device with address %s' , addr ) self . _saved_devices [ addr ] = kwarg
def shorten ( string , maxlen ) : """shortens string if longer than maxlen , appending ellipsis"""
if 1 < maxlen < len ( string ) : string = string [ : maxlen - 1 ] + u'…' return string [ : maxlen ]
def _edit_main ( self , request ) : """Adds the link to the new unit testing results on the repo ' s main wiki page ."""
self . prefix = "{}_Pull_Request_{}" . format ( request . repo . name , request . pull . number ) if not self . testmode : page = site . pages [ self . basepage ] text = page . text ( ) else : text = "This is a fake wiki page.\n\n<!--@CI:Placeholder-->" self . newpage = self . prefix link = "Pull Request #{...
def is_package ( name ) : """Check if string maps to a package installed via pip . name ( unicode ) : Name of package . RETURNS ( bool ) : True if installed package , False if not ."""
name = name . lower ( ) # compare package name against lowercase name packages = pkg_resources . working_set . by_key . keys ( ) for package in packages : if package . lower ( ) . replace ( '-' , '_' ) == name : return True return False
def filter_rows ( self , filters , rows ) : '''returns rows as filtered by filters'''
ret = [ ] for row in rows : if not self . row_is_filtered ( row , filters ) : ret . append ( row ) return ret
def gen_matches ( self , word ) : """Generate a sequence of possible completions for ` ` word ` ` . : param word : the word to complete"""
if word . startswith ( "$" ) : for match in self . gen_variable_completions ( word , os . environ ) : yield match else : head , tail = os . path . split ( word ) filenames = os . listdir ( head or '.' ) completions = self . gen_filename_completions ( tail , filenames ) for match in completio...
def _get_paths ( options ) : """Retrieves paths needed to run sphinx . Returns a Bundle with the required values filled in ."""
opts = options docroot = path ( opts . get ( 'docroot' , 'docs' ) ) if not docroot . exists ( ) : raise BuildFailure ( "Sphinx documentation root (%s) does not exist." % docroot ) builddir = docroot / opts . get ( "builddir" , ".build" ) srcdir = docroot / opts . get ( "sourcedir" , "" ) if not srcdir . exists ( ) ...
def from_yuv ( y , u , v , alpha = 1.0 , wref = _DEFAULT_WREF ) : """Create a new instance based on the specifed YUV values . Parameters : The Y component value [ 0 . . . 1] The U component value [ - 0.436 . . . 0.436] The V component value [ - 0.615 . . . 0.615] : alpha : The color transparency [ 0 . ....
return Color ( yuv_to_rgb ( y , u , v ) , 'rgb' , alpha , wref )
def set_contents_from_string ( self , s , headers = None , replace = True , cb = None , num_cb = 10 , policy = None , md5 = None ) : """Store an object in S3 using the name of the Key object as the key in S3 and the string ' s ' as the contents . See set _ contents _ from _ file method for details about the p...
if isinstance ( s , unicode ) : s = s . encode ( "utf-8" ) fp = StringIO . StringIO ( s ) r = self . set_contents_from_file ( fp , headers , replace , cb , num_cb , policy , md5 ) fp . close ( ) return r
def intervalantijoin ( left , right , lstart = 'start' , lstop = 'stop' , rstart = 'start' , rstop = 'stop' , lkey = None , rkey = None , include_stop = False , missing = None ) : """Return rows from the ` left ` table with no overlapping rows from the ` right ` table . Note start coordinates are included and s...
assert ( lkey is None ) == ( rkey is None ) , 'facet key field must be provided for both or neither table' return IntervalAntiJoinView ( left , right , lstart = lstart , lstop = lstop , rstart = rstart , rstop = rstop , lkey = lkey , rkey = rkey , include_stop = include_stop , missing = missing )
def ActionEnum ( ctx ) : """Action Enumeration ."""
return Enum ( ctx , interact = 0 , stop = 1 , ai_interact = 2 , move = 3 , add_attribute = 5 , give_attribute = 6 , ai_move = 10 , resign = 11 , spec = 15 , waypoint = 16 , stance = 18 , guard = 19 , follow = 20 , patrol = 21 , formation = 23 , save = 27 , ai_waypoint = 31 , chapter = 32 , ai_command = 53 , ai_queue = ...
def download_sheet ( self , file_path , sheet_id , cell_range ) : """Download the cell range from the sheet and store it as CSV in the ` file _ path ` file ."""
result = self . service . spreadsheets ( ) . values ( ) . get ( spreadsheetId = sheet_id , range = cell_range , ) . execute ( ) values = result . get ( 'values' , [ ] ) with open ( file_path , newline = '' , encoding = 'utf-8' , mode = 'w' ) as f : writer = csv . writer ( f , lineterminator = '\n' ) for row in ...
def _compute_rtfilter_map ( self ) : """Returns neighbor ' s RT filter ( permit / allow filter based on RT ) . Walks RT filter tree and computes current RT filters for each peer that have advertised RT NLRIs . Returns : dict of peer , and ` set ` of rts that a particular neighbor is interested in ."""
rtfilter_map = { } def get_neigh_filter ( neigh ) : neigh_filter = rtfilter_map . get ( neigh ) # Lazy creation of neighbor RT filter if neigh_filter is None : neigh_filter = set ( ) rtfilter_map [ neigh ] = neigh_filter return neigh_filter # Check if we have to use all paths or just bes...
def ApplicationReceiving ( self , app , streams ) : """Called when the list of streams with data ready to be read changes ."""
# we should only proceed if we are in TCP mode if stype != socket . SOCK_STREAM : return # handle all streams for stream in streams : # read object from the stream obj = StreamRead ( stream ) if obj : if obj [ 0 ] == cmdData : # data were received , reroute it to the tunnel based on the tunnel ID ...
def power_law ( target , X , A1 = '' , A2 = '' , A3 = '' ) : r"""Calculates the rate , as well as slope and intercept of the following function at the given value of * X * : . . math : : r = A _ { 1 } x ^ { A _ { 2 } } + A _ { 3} Parameters A1 - > A3 : string The dictionary keys on the target object con...
A = _parse_args ( target = target , key = A1 , default = 1.0 ) B = _parse_args ( target = target , key = A2 , default = 1.0 ) C = _parse_args ( target = target , key = A3 , default = 0.0 ) X = target [ X ] r = A * X ** B + C S1 = A * B * X ** ( B - 1 ) S2 = A * X ** B * ( 1 - B ) + C values = { 'S1' : S1 , 'S2' : S2 , ...
def contextMenuEvent ( self , event ) : """Slot automatically called by Qt on right click on the WebView . : param event : the event that caused the context menu to be called ."""
context_menu = QMenu ( self ) # add select all action_select_all = self . page ( ) . action ( QtWebKitWidgets . QWebPage . SelectAll ) action_select_all . setEnabled ( not self . page_to_text ( ) == '' ) context_menu . addAction ( action_select_all ) # add copy action_copy = self . page ( ) . action ( QtWebKitWidgets ....
def download ( name , course , github = 'SheffieldML/notebook/master/lab_classes/' ) : """Download a lab class from the relevant course : param course : the course short name to download the class from . : type course : string : param reference : reference to the course for downloading the class . : type re...
github_stub = 'https://raw.githubusercontent.com/' if not name . endswith ( '.ipynb' ) : name += '.ipynb' from pods . util import download_url download_url ( os . path . join ( github_stub , github , course , name ) , store_directory = course )
def is_empty ( self ) : """Test interval emptiness . : return : True if interval is empty , False otherwise ."""
return ( self . _lower > self . _upper or ( self . _lower == self . _upper and ( self . _left == OPEN or self . _right == OPEN ) ) )
def plugin ( cls , name ) : """Retrieves the plugin based on the inputted name . : param name | < str > : return < Plugin >"""
cls . loadPlugins ( ) plugs = getattr ( cls , '_%s__plugins' % cls . __name__ , { } ) return plugs . get ( nstr ( name ) )
def stop ( self , accountID , ** kwargs ) : """Shortcut to create a Stop Order in an Account Args : accountID : The ID of the Account kwargs : The arguments to create a StopOrderRequest Returns : v20 . response . Response containing the results from submitting the request"""
return self . create ( accountID , order = StopOrderRequest ( ** kwargs ) )
def take_off ( self , height = None , velocity = VELOCITY ) : """Takes off , that is starts the motors , goes straigt up and hovers . Do not call this function if you use the with keyword . Take off is done automatically when the context is created . : param height : the height ( meters ) to hover at . None u...
if self . _is_flying : raise Exception ( 'Already flying' ) if not self . _cf . is_connected ( ) : raise Exception ( 'Crazyflie is not connected' ) self . _is_flying = True self . _reset_position_estimator ( ) self . _thread = _SetPointThread ( self . _cf ) self . _thread . start ( ) if height is None : hei...
def read_parameters ( self ) : """Read a parameters . out file Returns dict A dictionary containing all the configuration used by MAGICC"""
param_fname = join ( self . out_dir , "PARAMETERS.OUT" ) if not exists ( param_fname ) : raise FileNotFoundError ( "No PARAMETERS.OUT found" ) with open ( param_fname ) as nml_file : parameters = dict ( f90nml . read ( nml_file ) ) for group in [ "nml_years" , "nml_allcfgs" , "nml_outputcfgs" ] : pa...
def initialize_hmac ( self ) : # type : ( EncryptionMetadata ) - > hmac . HMAC """Initialize an hmac from a signing key if it exists : param EncryptionMetadata self : this : rtype : hmac . HMAC or None : return : hmac"""
if self . _signkey is not None : return hmac . new ( self . _signkey , digestmod = hashlib . sha256 ) else : return None
def run_cm ( cm , time_scale ) : """Iterate a connectivity matrix the specified number of steps . Args : cm ( np . ndarray ) : A connectivity matrix . time _ scale ( int ) : The number of steps to run . Returns : np . ndarray : The connectivity matrix at the new timescale ."""
cm = np . linalg . matrix_power ( cm , time_scale ) # Round non - unitary values back to 1 cm [ cm > 1 ] = 1 return cm
def full_subgraph ( self , vertices ) : """Return the subgraph of this graph whose vertices are the given ones and whose edges are all the edges of the original graph between those vertices ."""
subgraph_vertices = { v for v in vertices } subgraph_edges = { edge for v in subgraph_vertices for edge in self . _out_edges [ v ] if self . _heads [ edge ] in subgraph_vertices } subgraph_heads = { edge : self . _heads [ edge ] for edge in subgraph_edges } subgraph_tails = { edge : self . _tails [ edge ] for edge in s...
def is_eyeish ( board , c ) : 'Check if c is an eye , for the purpose of restricting MC rollouts .'
# pass is fine . if c is None : return color = is_koish ( board , c ) if color is None : return None diagonal_faults = 0 diagonals = DIAGONALS [ c ] if len ( diagonals ) < 4 : diagonal_faults += 1 for d in diagonals : if not board [ d ] in ( color , EMPTY ) : diagonal_faults += 1 if diagonal_fau...
def place ( vertices_resources , nets , machine , constraints , chip_order = None ) : """Places vertices in breadth - first order onto chips in the machine . This is a thin wrapper around the : py : func : ` sequential < rig . place _ and _ route . place . sequential . place > ` placement algorithm which uses...
return sequential_place ( vertices_resources , nets , machine , constraints , breadth_first_vertex_order ( vertices_resources , nets ) , chip_order )
def get_word_file ( self , mmax_base_file ) : """parses an MMAX base file ( ` ` * . mmax ` ` ) and returns the path to the corresponding ` ` _ words . xml ` ` file ( which contains the tokens of the document ) ."""
return os . path . join ( self . mmax_project . paths [ 'project_path' ] , self . mmax_project . paths [ 'basedata' ] , etree . parse ( mmax_base_file ) . find ( '//words' ) . text )
def rotation_matrix ( self ) : """Get the 3x3 rotation matrix equivalent of the quaternion rotation . Returns : A 3x3 orthogonal rotation matrix as a 3x3 Numpy array Note : This feature only makes sense when referring to a unit quaternion . Calling this method will implicitly normalise the Quaternion object...
self . _normalise ( ) product_matrix = np . dot ( self . _q_matrix ( ) , self . _q_bar_matrix ( ) . conj ( ) . transpose ( ) ) return product_matrix [ 1 : ] [ : , 1 : ]
def add_option ( self , K = None , price = None , St = None , kind = "call" , pos = "long" ) : """Add an option to the object ' s ` options ` container ."""
kinds = { "call" : Call , "Call" : Call , "c" : Call , "C" : Call , "put" : Put , "Put" : Put , "p" : Put , "P" : Put , } St = self . St if St is None else St option = kinds [ kind ] ( St = St , K = K , price = price , pos = pos ) self . options . append ( option )
def get_size_in_bytes ( self , handle ) : """Return the size in bytes ."""
fpath = self . _fpath_from_handle ( handle ) return os . stat ( fpath ) . st_size
def _module_name ( filename ) : """Try to find a module name for a file path by stripping off a prefix found in sys . modules ."""
absfile = os . path . abspath ( filename ) match = filename for base in [ '' ] + sys . path : base = os . path . abspath ( base ) if absfile . startswith ( base ) : match = absfile [ len ( base ) : ] break return SUFFIX_RE . sub ( '' , match ) . lstrip ( '/' ) . replace ( '/' , '.' )
def plotConvergenceByDistantConnectionChance ( results , featureRange , columnRange , longDistanceConnectionsRange , numTrials ) : """Plots the convergence graph : iterations vs number of columns . Each curve shows the convergence for a given number of unique features ."""
# Accumulate all the results per column in a convergence array . # Convergence [ f , c , t ] = how long it took it to converge with f unique # features , c columns and topology t . convergence = numpy . zeros ( ( len ( featureRange ) , len ( longDistanceConnectionsRange ) , len ( columnRange ) ) ) for r in results : ...
def prune ( tdocs ) : """Prune terms which are totally subsumed by a phrase This could be better if it just removes the individual keywords that occur in a phrase for each time that phrase occurs ."""
all_terms = set ( [ t for toks in tdocs for t in toks ] ) terms = set ( ) phrases = set ( ) for t in all_terms : if gram_size ( t ) > 1 : phrases . add ( t ) else : terms . add ( t ) # Identify candidates for redundant terms ( 1 - gram terms found in a phrase ) redundant = set ( ) for t in terms...
def get_files ( self , file_paths ) : """returns a list of files faster by using threads"""
results = [ ] def get_file_thunk ( path , interface ) : result = error = None try : result = interface . get_file ( path ) except Exception as err : error = err # important to print immediately because # errors are collected at the end print ( err ) content , enco...
def replacePatterns ( self , vector , layer = None ) : """Replaces patterned inputs or targets with activation vectors ."""
if not self . patterned : return vector if type ( vector ) == str : return self . replacePatterns ( self . lookupPattern ( vector , layer ) , layer ) elif type ( vector ) != list : return vector # should be a vector if we made it here vec = [ ] for v in vector : if type ( v ) == str : retval = s...
def match_dim_specs ( specs1 , specs2 ) : """Matches dimension specs used to link axes . Axis dimension specs consists of a list of tuples corresponding to each dimension , each tuple spec has the form ( name , label , unit ) . The name and label must match exactly while the unit only has to match if both s...
if ( specs1 is None or specs2 is None ) or ( len ( specs1 ) != len ( specs2 ) ) : return False for spec1 , spec2 in zip ( specs1 , specs2 ) : for s1 , s2 in zip ( spec1 , spec2 ) : if s1 is None or s2 is None : continue if s1 != s2 : return False return True
def _generate_state ( self , trans ) : """Creates a new POP state ( type - 2 ) with the same transitions . The POPed symbol is the unique number of the state . Args : trans ( dict ) : Transition dictionary Returns : Int : The state identifier"""
state = PDAState ( ) state . id = self . nextstate ( ) state . type = 2 state . sym = state . id state . trans = trans . copy ( ) self . toadd . append ( state ) return state . id
def percentile ( values , percent ) : """PERCENTILE WITH INTERPOLATION RETURN VALUE AT , OR ABOVE , percentile OF THE VALUES snagged from http : / / code . activestate . com / recipes / 511478 - finding - the - percentile - of - the - values /"""
N = sorted ( values ) if not N : return None k = ( len ( N ) - 1 ) * percent f = int ( math . floor ( k ) ) c = int ( math . ceil ( k ) ) if f == c : return N [ int ( k ) ] d0 = N [ f ] * ( c - k ) d1 = N [ c ] * ( k - f ) return d0 + d1
def path ( self , args , kw ) : """Builds the URL path fragment for this route ."""
params = self . _pop_params ( args , kw ) if args or kw : raise InvalidArgumentError ( "Extra parameters (%s, %s) when building path for %s" % ( args , kw , self . template ) ) return self . build_url ( ** params )
def format_file_node ( import_graph , node , indent ) : """Prettyprint nodes based on their provenance ."""
f = import_graph . provenance [ node ] if isinstance ( f , resolve . Direct ) : out = '+ ' + f . short_path elif isinstance ( f , resolve . Local ) : out = ' ' + f . short_path elif isinstance ( f , resolve . System ) : out = ':: ' + f . short_path elif isinstance ( f , resolve . Builtin ) : out = '(%s...
def _sanity_check_no_nested_folds ( ir_blocks ) : """Assert that there are no nested Fold contexts , and that every Fold has a matching Unfold ."""
fold_seen = False for block in ir_blocks : if isinstance ( block , Fold ) : if fold_seen : raise AssertionError ( u'Found a nested Fold contexts: {}' . format ( ir_blocks ) ) else : fold_seen = True elif isinstance ( block , Unfold ) : if not fold_seen : ...
def displayname ( self ) : """Return the display name for the entity referenced by this cursor . The display name contains extra information that helps identify the cursor , such as the parameters of a function or template or the arguments of a class template specialization ."""
if not hasattr ( self , '_displayname' ) : self . _displayname = conf . lib . clang_getCursorDisplayName ( self ) return self . _displayname
def refine ( args ) : """% prog refine bedfile1 bedfile2 refinedbed Refine bed file using a second bed file . The final bed is keeping all the intervals in bedfile1 , but refined by bedfile2 whenever they have intersection ."""
p = OptionParser ( refine . __doc__ ) opts , args = p . parse_args ( args ) if len ( args ) != 3 : sys . exit ( not p . print_help ( ) ) abedfile , bbedfile , refinedbed = args fw = open ( refinedbed , "w" ) intersected = refined = 0 for a , b in intersectBed_wao ( abedfile , bbedfile ) : if b is None : ...
def read_data ( self , timeout = 10.0 ) : """Read blocks of raw PCM data from the file ."""
# Read from stdout in a separate thread and consume data from # the queue . start_time = time . time ( ) while True : # Wait for data to be available or a timeout . data = None try : data = self . stdout_reader . queue . get ( timeout = timeout ) if data : yield data else : #...
def create_ckan_ini ( self ) : """Use make - config to generate an initial development . ini file"""
self . run_command ( command = '/scripts/run_as_user.sh /usr/lib/ckan/bin/paster make-config' ' ckan /project/development.ini' , rw_project = True , ro = { scripts . get_script_path ( 'run_as_user.sh' ) : '/scripts/run_as_user.sh' } , )
def tolerate ( substitute = None , exceptions = None , switch = DEFAULT_TOLERATE_SWITCH ) : """A function decorator which makes a function fail silently To disable fail silently in a decorated function , specify ` ` fail _ silently = False ` ` . To disable fail silenlty in decorated functions globally , speci...
def decorator ( fn ) : @ wraps ( fn ) def inner ( * args , ** kwargs ) : if getattr ( tolerate , 'disabled' , False ) : # the function has disabled so call normally . return fn ( * args , ** kwargs ) if switch is not None : status , args , kwargs = switch ( * args , ** kw...
def clean_retinotopy_potential ( hemi , retinotopy = Ellipsis , mask = Ellipsis , weight = Ellipsis , surface = 'midgray' , min_weight = Ellipsis , min_eccentricity = 0.75 , visual_area = None , map_visual_areas = Ellipsis , visual_area_field_signs = Ellipsis , measurement_uncertainty = 0.3 , measurement_knob = 1 , mag...
from neuropythy . util import curry import neuropythy . optimize as op # first , get the mesh and the retinotopy data mesh = geo . to_mesh ( ( hemi , surface ) ) rdat = ( retinotopy_data ( mesh ) if retinotopy is Ellipsis else retinotopy if pimms . is_map ( retinotopy ) else retinotopy_data ( mesh , retinotopy ) ) lbls...
def do_macro_arg ( parser , token ) : """Function taking a parsed template tag to a MacroArgNode ."""
# macro _ arg takes no arguments , so we don ' t # need to split the token / do validation . nodelist = parser . parse ( ( 'endmacro_arg' , ) ) parser . delete_first_token ( ) # simply save the contents to a MacroArgNode . return MacroArgNode ( nodelist )
def hybrid_forward ( self , F , inputs , mask = None ) : # pylint : disable = arguments - differ r"""Forward computation for char _ encoder Parameters inputs : NDArray The input tensor is of shape ` ( seq _ len , batch _ size , embedding _ size ) ` TNC . mask : NDArray The mask applied to the input of sha...
if mask is not None : inputs = F . broadcast_mul ( inputs , mask . expand_dims ( - 1 ) ) inputs = F . transpose ( inputs , axes = ( 1 , 2 , 0 ) ) output = self . _convs ( inputs ) if self . _highways : output = self . _highways ( output ) if self . _projection : output = self . _projection ( output ) return...
def _read_register ( self , reg ) : """Read 16 bit register value ."""
self . buf [ 0 ] = reg with self . i2c_device as i2c : i2c . write ( self . buf , end = 1 , stop = False ) i2c . readinto ( self . buf , end = 2 ) return self . buf [ 0 ] << 8 | self . buf [ 1 ]
def _shift_wavelengths ( model1 , model2 ) : """One of the models is either ` ` RedshiftScaleFactor ` ` or ` ` Scale ` ` . Possible combos : : RedshiftScaleFactor | Model Scale | Model Model | Scale"""
if isinstance ( model1 , _models . RedshiftScaleFactor ) : val = _get_sampleset ( model2 ) if val is None : w = val else : w = model1 . inverse ( val ) elif isinstance ( model1 , _models . Scale ) : w = _get_sampleset ( model2 ) else : w = _get_sampleset ( model1 ) return w
def get_default_config ( self ) : """Returns the default collector settings"""
config = super ( MemoryCgroupCollector , self ) . get_default_config ( ) config . update ( { 'path' : 'memory_cgroup' , 'memory_path' : '/sys/fs/cgroup/memory/' , 'skip' : [ ] , } ) return config
def start ( self , attach = False ) : """Start a container . If the container is running it will return itself . returns a running Container ."""
if self . state ( ) [ 'running' ] : logger . info ( 'is already running.' , extra = { 'formatter' : 'container' , 'container' : self . name } ) return True else : try : logger . info ( 'is being started.' , extra = { 'formatter' : 'container' , 'container' : self . name } ) # returns None on...
def prompt_pass ( name , default = None ) : """Grabs hidden ( password ) input from command line . : param name : prompt text : param default : default value if no input provided ."""
prompt = name + ( default and ' [%s]' % default or '' ) prompt += name . endswith ( '?' ) and ' ' or ': ' while True : rv = getpass . getpass ( prompt ) if rv : return rv if default is not None : return default
def _dcm_to_q ( self , dcm ) : """Create q from dcm Reference : - Shoemake , Quaternions , http : / / www . cs . ucr . edu / ~ vbz / resources / quatut . pdf : param dcm : 3x3 dcm array returns : quaternion array"""
assert ( dcm . shape == ( 3 , 3 ) ) q = np . zeros ( 4 ) tr = np . trace ( dcm ) if tr > 0 : s = np . sqrt ( tr + 1.0 ) q [ 0 ] = s * 0.5 s = 0.5 / s q [ 1 ] = ( dcm [ 2 ] [ 1 ] - dcm [ 1 ] [ 2 ] ) * s q [ 2 ] = ( dcm [ 0 ] [ 2 ] - dcm [ 2 ] [ 0 ] ) * s q [ 3 ] = ( dcm [ 1 ] [ 0 ] - dcm [ 0 ] [ ...
def _check_ubridge_version ( self , env = None ) : """Checks if the ubridge executable version"""
try : output = yield from subprocess_check_output ( self . _path , "-v" , cwd = self . _working_dir , env = env ) match = re . search ( "ubridge version ([0-9a-z\.]+)" , output ) if match : self . _version = match . group ( 1 ) if sys . platform . startswith ( "win" ) or sys . platform . sta...
def infer_si_prefix ( f ) : """Infers the SI prefix of a value * f * and returns the string label and decimal magnitude in a 2 - tuple . Example : . . code - block : : python infer _ si _ prefix ( 1 ) # - > ( " " , 0) infer _ si _ prefix ( 25 ) # - > ( " " , 0) infer _ si _ prefix ( 4320 ) # - > ( " k " ,...
if f == 0 : return "" , 0 else : mag = 3 * int ( math . log10 ( abs ( float ( f ) ) ) // 3 ) return si_refixes [ mag ] , mag
def server ( value = None ) : """Get the hostname of the server or set the server using hostname or aliases . Supported aliases : ' localhost ' , ' staging ' , ' labs ' . Also set via environment variable GRAPHISTRY _ HOSTNAME ."""
if value is None : return PyGraphistry . _config [ 'hostname' ] # setter shortcuts = { 'dev' : 'localhost:3000' , 'staging' : 'staging.graphistry.com' , 'labs' : 'labs.graphistry.com' } if value in shortcuts : resolved = shortcuts [ value ] PyGraphistry . _config [ 'hostname' ] = resolved util . warn ( ...
def __unroll ( self , rolled ) : """Converts parameter matrices into an array ."""
return np . array ( np . concatenate ( [ matrix . flatten ( ) for matrix in rolled ] , axis = 1 ) ) . reshape ( - 1 )
def dataset_splits ( self ) : """Splits of data to produce and number the output shards for each ."""
return [ { "split" : problem . DatasetSplit . TRAIN , "shards" : self . num_train_shards , } , { "split" : problem . DatasetSplit . EVAL , "shards" : self . num_eval_shards , } , { "split" : problem . DatasetSplit . TEST , "shards" : self . num_test_shards , } ]
def uniquetwig ( self , ps = None ) : """see also : meth : ` twig ` Determine the shortest ( more - or - less ) twig which will point to this single Parameter in a given parent : class : ` ParameterSet ` : parameter ps : : class : ` ParameterSet ` in which the returned uniquetwig will point to this Paramete...
if ps is None : ps = self . _bundle if ps is None : return self . twig return ps . _uniquetwig ( self . twig )
def satisfiesShapeNot ( cntxt : Context , n : Node , se : ShExJ . ShapeNot , _ : DebugContext ) -> bool : """Se is a ShapeNot and for the shape expression se2 at shapeExpr , notSatisfies ( n , se2 , G , m )"""
return not satisfies ( cntxt , n , se . shapeExpr )
def process_response ( self , request , response ) : """Sets the cache , if needed ."""
# never cache headers + ETag add_never_cache_headers ( response ) if not hasattr ( request , '_cache_update_cache' ) or not request . _cache_update_cache : # We don ' t need to update the cache , just return . return response if request . method != 'GET' : # This is a stronger requirement than above . It is needed ...
def confd_state_internal_cdb_client_type ( 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" ) client = ET . SubElement ( cdb , "client" ) type = ET . SubElement ( client ,...
def get_selected_subassistant_path ( self , ** kwargs ) : """Recursively searches self . _ tree - has format of ( Assistant : [ list _ of _ subassistants ] ) - for specific path from first to last selected subassistants . Args : kwargs : arguments containing names of the given assistants in form of subassis...
path = [ self ] previous_subas_list = None currently_searching = self . get_subassistant_tree ( ) [ 1 ] # len ( path ) - 1 always points to next subassistant _ N , so we can use it to control iteration while settings . SUBASSISTANT_N_STRING . format ( len ( path ) - 1 ) in kwargs and kwargs [ settings . SUBASSISTANT_N_...
def analyzer ( self , * args , ** kwargs ) : """Explicitly add an analyzer to an index . Note that all custom analyzers defined in mappings will also be created . This is useful for search analyzers . Example : : from elasticsearch _ dsl import analyzer , tokenizer my _ analyzer = analyzer ( ' my _ analyzer...
analyzer = analysis . analyzer ( * args , ** kwargs ) d = analyzer . get_analysis_definition ( ) # empty custom analyzer , probably already defined out of our control if not d : return # merge the definition merge ( self . _analysis , d , True )
def __create_handler_settings ( config ) : """: type config : dict"""
server_config = config [ 'conf' ] [ 'server' ] plugins_conf = config [ 'conf' ] [ 'plugins_enabled' ] api_handler_settings = { 'auth_required' : server_config . get ( 'auth_required' , True ) , 'upstream_timeout' : server_config . get ( 'upstream_timeout' , None ) , 'registry' : PluginBuilder . build_plugins ( plugins_...
def get_ns_commands ( self , cmd_name ) : """Retrieves the possible name spaces and commands associated to the given command name . : param cmd _ name : The given command name : return : A list of 2 - tuples ( name space , command ) : raise ValueError : Unknown command name"""
namespace , command = _split_ns_command ( cmd_name ) if not namespace : # Name space not given , look for the commands spaces = self . __find_command_ns ( command ) if not spaces : # Unknown command raise ValueError ( "Unknown command {0}" . format ( command ) ) else : # Return a sorted list of tupl...
def terminate ( library , session , degree , job_id ) : """Requests a VISA session to terminate normal execution of an operation . Corresponds to viTerminate function of the VISA library . : param library : the visa library wrapped by ctypes . : param session : Unique logical identifier to a session . : par...
return library . viTerminate ( session , degree , job_id )
def migrate_config ( self , current_config , config_to_migrate , always_update , update_defaults ) : """Migrate config value in current _ config , updating config _ to _ migrate . Given the current _ config object , it will attempt to find a value based on all the names given . If no name could be found , then ...
value = self . _search_config_for_possible_names ( current_config ) self . _update_config ( config_to_migrate , value , always_update , update_defaults )
def create_linked_data_element ( self , url , kind , id = None , # pylint : disable = W0622 relation = None , title = None ) : """Returns a new linked data element for the given url and kind . : param str url : URL to assign to the linked data element . : param str kind : kind of the resource that is linked . O...
mp = self . __mp_reg . find_or_create_mapping ( Link ) return mp . data_element_class . create ( url , kind , id = id , relation = relation , title = title )
def get_percentage_bond_dist_changes ( self , max_radius = 3.0 ) : """Returns the percentage bond distance changes for each site up to a maximum radius for nearest neighbors . Args : max _ radius ( float ) : Maximum radius to search for nearest neighbors . This radius is applied to the initial structure , ...
data = collections . defaultdict ( dict ) for inds in itertools . combinations ( list ( range ( len ( self . initial ) ) ) , 2 ) : ( i , j ) = sorted ( inds ) initial_dist = self . initial [ i ] . distance ( self . initial [ j ] ) if initial_dist < max_radius : final_dist = self . final [ i ] . dist...
def start_server ( self , protocol = 'TCP' , port = 5001 , mss = None , window = None ) : """iperf - s - D - - mss mss"""
cmd = [ 'iperf' , '-s' , '-p' , str ( port ) ] if not cmp ( protocol , 'UDP' ) : cmd . append ( '-u' ) if mss : cmd . extend ( [ '-M' , str ( mss ) ] ) if window : cmd . extend ( [ '-w' , str ( window ) ] ) pid = utils . create_deamon ( cmd ) data = dict ( ) data [ 'pid' ] = pid return data
def start ( name ) : # type : ( str ) - > None """Start working on a new feature by branching off develop . This will create a new branch off develop called feature / < name > . Args : name ( str ) : The name of the new feature ."""
branch = git . current_branch ( refresh = True ) task_branch = 'task/' + common . to_branch_name ( name ) if branch . type not in ( 'feature' , 'hotfix' ) : log . err ( "Task branches can only branch off <33>feature<32> or " "<33>hotfix<32> branches" ) sys . exit ( 1 ) common . git_checkout ( task_branch , crea...
def _find_consonant_cluster ( self , letters : List [ str ] ) -> List [ int ] : """Find clusters of consonants that do not contain a vowel . : param letters : : return :"""
for idx , letter_group in enumerate ( letters ) : if self . _contains_consonants ( letter_group ) and not self . _contains_vowels ( letter_group ) : return [ idx ] return [ ]
def get_ip ( self , use_cached = True ) : """Get the last known IP of this device"""
device_json = self . get_device_json ( use_cached ) return device_json . get ( "dpLastKnownIp" )
def _is_pid_running_on_unix ( pid ) : """Check if PID is running for Unix systems ."""
try : os . kill ( pid , 0 ) except OSError as err : # if error is ESRCH , it means the process doesn ' t exist return not err . errno == os . errno . ESRCH return True
def saveWeights ( self , filename , mode = 'pickle' , counter = None ) : """Saves weights to file in pickle , plain , or tlearn mode ."""
# modes : pickle / conx , plain , tlearn if "?" in filename : # replace ? pattern in filename with epoch number import re char = "?" match = re . search ( re . escape ( char ) + "+" , filename ) if match : num = self . epoch if counter != None : num = counter elif sel...
def fetch ( self , keyDict ) : """Like update ( ) , but for retrieving values ."""
for key in keyDict . keys ( ) : keyDict [ key ] = self . tbl [ key ]
def as_coeff_unit ( self ) : """Factor the coefficient multiplying a unit For units that are multiplied by a constant dimensionless coefficient , returns a tuple containing the coefficient and a new unit object for the unmultiplied unit . Example > > > import unyt as u > > > unit = ( u . m * * 2 / u . c...
coeff , mul = self . expr . as_coeff_Mul ( ) coeff = float ( coeff ) ret = Unit ( mul , self . base_value / coeff , self . base_offset , self . dimensions , self . registry , ) return coeff , ret
def command_queue_worker ( self , command_queue ) : """Process commands in command queues ."""
while True : try : # set timeout to ensure self . stopping is checked periodically command , data = command_queue . get ( timeout = 3 ) try : self . process_command ( command , data ) except Exception as e : _logger . exception ( e ) self . worker_exceptio...
def reset ( self ) : """Clears the ` cells ` and leaderboards , and sets all corners to ` 0,0 ` ."""
self . cells . clear ( ) self . leaderboard_names . clear ( ) self . leaderboard_groups . clear ( ) self . top_left . set ( 0 , 0 ) self . bottom_right . set ( 0 , 0 )
def count ( self ) : """return the count of the criteria"""
# count queries shouldn ' t care about sorting fields_sort = self . fields_sort self . fields_sort = self . fields_sort_class ( ) self . default_val = 0 ret = self . _query ( 'count' ) # restore previous values now that count is done self . fields_sort = fields_sort return ret
def get_statements ( self ) : """Returns a list of SQL statements as strings , stripped"""
statements = [ ] for statement in self . _parsed : if statement : sql = str ( statement ) . strip ( ' \n;\t' ) if sql : statements . append ( sql ) return statements
def delete ( self ) : """Deletes this item from its bucket . Raises : Exception if there was an error deleting the item ."""
if self . exists ( ) : try : self . _api . objects_delete ( self . _bucket , self . _key ) except Exception as e : raise e
def calc_choice_sequence_probs ( prob_array , choice_vec , rows_to_mixers , return_type = None ) : """Parameters prob _ array : 2D ndarray . All elements should be ints , floats , or longs . All elements should be between zero and one ( exclusive ) . Each element should represent the probability of the corr...
if return_type not in [ None , 'all' ] : raise ValueError ( "return_type must be None or 'all'." ) log_chosen_prob_array = choice_vec [ : , None ] * np . log ( prob_array ) # Create a 2D array with shape ( num _ mixing _ units , num _ random _ draws ) # Each element will be the log of the probability of the sequenc...
def unpack_varint ( self , max_bytes ) : """Decode variable integer using algorithm similar to that described in MQTT Version 3.1.1 line 297. Parameters max _ bytes : int or None If a varint cannot be constructed using ` max _ bytes ` or fewer from f then raises a ` DecodeError ` . If None then there is n...
num_bytes_consumed , value = decode_varint ( self . __f , max_bytes ) self . __num_bytes_consumed += num_bytes_consumed return num_bytes_consumed , value
def get_stream_or_content_from_request ( request ) : """Ensure the proper content is uploaded . Stream might be already consumed by authentication process . Hence flask . request . stream might not be readable and return improper value . This methods checks if the stream has already been consumed and if so ...
if request . stream . tell ( ) : logger . info ( 'Request stream already consumed. ' 'Storing file content using in-memory data.' ) return request . data else : logger . info ( 'Storing file content using request stream.' ) return request . stream
def from_config ( cls , config ) : """Create a new Connector instance from a Config object ."""
auth_key = None password_file = config [ "authentication.passwordFile" ] if password_file is not None : try : auth_key = open ( config [ "authentication.passwordFile" ] ) . read ( ) auth_key = re . sub ( r"\s" , "" , auth_key ) except IOError : LOG . error ( "Could not load password file...