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def semilogy ( self , p , T , * args , ** kwargs ) : r no_plot = SkewTAxes . plot SkewTAxes . plot = Axes . plot Axes . semilogy ( self , T , p , * args , ** kwargs ) SkewTAxes . plot = no_plot self . yaxis . set_major_formatter ( ScalarFormatter ( ) ) self . yaxis . set_major_locator ( MultipleLocator ( 100 ) ) labels...
r Plot data .
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def plot_barbs ( self , p , u , v , xloc = 1.0 , x_clip_radius = 0.08 , y_clip_radius = 0.08 , ** kwargs ) : r x = np . empty_like ( p ) x . fill ( xloc ) b = self . barbs ( x , p , u , v , transform = self . get_yaxis_transform ( which = 'tick2' ) , clip_on = True , ** kwargs ) ax_bbox = transforms . Bbox ( [ [ xloc -...
r Plot wind barbs .
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def plot_dry_adiabats ( self , p = None , theta = None , ** kwargs ) : r for artist in self . _dry_adiabats : artist . remove ( ) self . _dry_adiabats = [ ] if theta is None : xmin , xmax = self . get_xlim ( ) theta = np . arange ( xmin , xmax + 201 , 10 ) if p is None : p = np . linspace ( * self . get_ylim ( ) ) t = ...
r Plot dry adiabats .
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def plot_mixing_lines ( self , p = None , rv = None , ** kwargs ) : r for artist in self . _mixing_lines : artist . remove ( ) self . _mixing_lines = [ ] if rv is None : rv = np . array ( [ 0.1e-3 , 0.2e-3 , 0.5e-3 , 1e-3 , 1.5e-3 , 2e-3 , 3e-3 , 4e-3 , 6e-3 , 8e-3 , 10e-3 , 12e-3 , 15e-3 , 20e-3 , 30e-3 , 40e-3 , 50e-...
r Plot lines of constant mixing ratio .
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def get_calculatable_quantities ( inputs , methods ) : output_quantities = [ ] updated = True while updated : updated = False for output in methods . keys ( ) : if output in output_quantities or output in inputs : continue for args , func in methods [ output ] . items ( ) : if all ( [ arg in inputs or arg in output_qua...
Given an interable of input quantity names and a methods dictionary returns a list of output quantities that can be calculated .
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def _get_methods_that_calculate_outputs ( inputs , outputs , methods ) : intermediates = get_calculatable_quantities ( inputs , methods ) return_methods = { } outputs = list ( outputs ) keep_going = True while keep_going : keep_going = False for output in outputs : try : output_dict = return_methods [ output ] except :...
Given iterables of input variable names output variable names and a methods dictionary returns the subset of the methods dictionary that can be calculated doesn t calculate something we already have and only contains equations that might help calculate the outputs from the inputs .
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def _get_calculatable_methods_dict ( inputs , methods ) : calculatable_methods = { } for var in methods . keys ( ) : if var in inputs : continue else : var_dict = { } for args , func in methods [ var ] . items ( ) : if all ( [ arg in inputs for arg in args ] ) : var_dict [ args ] = func if len ( var_dict ) == 0 : conti...
Given an iterable of input variable names and a methods dictionary returns the subset of that methods dictionary that can be calculated and which doesn t calculate something we already have . Additionally it may only contain one method for any given output variable which is the one with the fewest possible arguments .
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def _get_module_methods ( module ) : methods = [ ] funcs = [ ] for item in inspect . getmembers ( equations ) : if ( item [ 0 ] [ 0 ] != '_' and '_from_' in item [ 0 ] ) : func = item [ 1 ] output = item [ 0 ] [ : item [ 0 ] . find ( '_from_' ) ] if func in funcs : continue else : funcs . append ( func ) args = tuple (...
Returns a methods list corresponding to the equations in the given module . Each entry is a dictionary with keys output args and func corresponding to the output arguments and function of the method . The entries may optionally include assumptions and overridden_by_assumptions as keys stating which assumptions are requ...
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def _check_scalar ( value ) : if isinstance ( value , np . ndarray ) : if value . ndim == 0 : return value [ None ] [ 0 ] return value
If value is a 0 - dimensional array returns the contents of value . Otherwise returns value .
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def calculate ( * args , ** kwargs ) : if len ( args ) == 0 : raise ValueError ( 'must specify quantities to calculate' ) solver = FluidSolver ( ** kwargs ) return solver . calculate ( * args )
Calculates and returns a requested quantity from quantities passed in as keyword arguments .
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def ip ( ) : ok , err = _hack_ip ( ) if not ok : click . secho ( click . style ( err , fg = 'red' ) ) sys . exit ( 1 ) click . secho ( click . style ( err , fg = 'green' ) )
Show ip address .
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def wp ( ssid ) : if not ssid : ok , err = _detect_wifi_ssid ( ) if not ok : click . secho ( click . style ( err , fg = 'red' ) ) sys . exit ( 1 ) ssid = err ok , err = _hack_wifi_password ( ssid ) if not ok : click . secho ( click . style ( err , fg = 'red' ) ) sys . exit ( 1 ) click . secho ( click . style ( '{ssid}:...
Show wifi password .
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def build_url ( self ) : url = '{protocol}/{url}/{rest}/{version}/{restapi}/{rscpath}/' '{query}' . format ( protocol = self . schema . protocol , url = self . schema . main_url , rest = self . schema . rest , version = self . schema . version , restapi = self . schema . restApi , rscpath = self . schema . resourcePath...
Builds the URL for elevations API services based on the data given by the user .
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def zoomlevel ( self ) : resources = self . get_resource ( ) zoomlevel = namedtuple ( 'zoomlevel' , 'zoomLevel' ) try : return [ zoomlevel ( resource [ 'zoomLevel' ] ) for resource in resources ] except TypeError : try : if isinstance ( resources [ 'ElevationData' ] , dict ) : return zoomlevel ( resources [ 'ElevationD...
Retrieves zoomlevel from the output response
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def to_json_file ( self , path , file_name = None ) : if bool ( path ) and os . path . isdir ( path ) : self . write_to_json ( path , file_name ) else : self . write_to_json ( os . getcwd ( ) , file_name )
Writes output to a JSON file with the given file name
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def get_data ( self ) : url = self . build_url ( ) self . locationApiData = requests . get ( url ) if not self . locationApiData . status_code == 200 : raise self . locationApiData . raise_for_status ( )
Gets data from the built url
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def update_compaction ( model ) : logger . debug ( "Checking %s for compaction differences" , model ) table = get_table_settings ( model ) existing_options = table . options . copy ( ) existing_compaction_strategy = existing_options [ 'compaction_strategy_class' ] existing_options = json . loads ( existing_options [ 'c...
Updates the compaction options for the given model if necessary .
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def setup ( hosts , default_keyspace , consistency = ConsistencyLevel . ONE , lazy_connect = False , retry_connect = False , ** kwargs ) : global cluster , session , default_consistency_level , lazy_connect_args if 'username' in kwargs or 'password' in kwargs : raise CQLEngineException ( "Username & Password are now ha...
Records the hosts and connects to one of them
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def validate ( self , value ) : if value is None : if self . required : raise ValidationError ( '{} - None values are not allowed' . format ( self . column_name or self . db_field ) ) return value
Returns a cleaned and validated value . Raises a ValidationError if there s a problem
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def from_datetime ( self , dt ) : global _last_timestamp epoch = datetime ( 1970 , 1 , 1 , tzinfo = dt . tzinfo ) offset = epoch . tzinfo . utcoffset ( epoch ) . total_seconds ( ) if epoch . tzinfo else 0 timestamp = ( dt - epoch ) . total_seconds ( ) - offset node = None clock_seq = None nanoseconds = int ( timestamp ...
generates a UUID for a given datetime
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def _can_update ( self ) : if not self . _is_persisted : return False pks = self . _primary_keys . keys ( ) return all ( [ not self . _values [ k ] . changed for k in self . _primary_keys ] )
Called by the save function to check if this should be persisted with update or insert
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def delete ( self ) : self . __dmlquery__ ( self . __class__ , self , batch = self . _batch , timestamp = self . _timestamp , consistency = self . __consistency__ , timeout = self . _timeout ) . delete ( )
Deletes this instance
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def filter ( self , * args , ** kwargs ) : if len ( [ x for x in kwargs . values ( ) if x is None ] ) : raise CQLEngineException ( "None values on filter are not allowed" ) clone = copy . deepcopy ( self ) for operator in args : if not isinstance ( operator , WhereClause ) : raise QueryException ( '{} is not a valid qu...
Adds WHERE arguments to the queryset returning a new queryset
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def order_by ( self , * colnames ) : if len ( colnames ) == 0 : clone = copy . deepcopy ( self ) clone . _order = [ ] return clone conditions = [ ] for colname in colnames : conditions . append ( '"{}" {}' . format ( * self . _get_ordering_condition ( colname ) ) ) clone = copy . deepcopy ( self ) clone . _order . exte...
orders the result set . ordering can only use clustering columns .
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def count ( self ) : if self . _batch : raise CQLEngineException ( "Only inserts, updates, and deletes are available in batch mode" ) if self . _result_cache is None : query = self . _select_query ( ) query . count = True result = self . _execute ( query ) return result [ 0 ] [ 'count' ] else : return len ( self . _res...
Returns the number of rows matched by this query
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def limit ( self , v ) : if not ( v is None or isinstance ( v , six . integer_types ) ) : raise TypeError if v == self . _limit : return self if v < 0 : raise QueryException ( "Negative limit is not allowed" ) clone = copy . deepcopy ( self ) clone . _limit = v return clone
Sets the limit on the number of results returned CQL has a default limit of 10 000
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def update ( self , ** values ) : if not values : return nulled_columns = set ( ) us = UpdateStatement ( self . column_family_name , where = self . _where , ttl = self . _ttl , timestamp = self . _timestamp , transactions = self . _transaction ) for name , val in values . items ( ) : col_name , col_op = self . _parse_f...
Updates the rows in this queryset
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def handle ( client , request ) : formaters = request . get ( 'formaters' , None ) if not formaters : formaters = [ { 'name' : 'autopep8' } ] logging . debug ( 'formaters: ' + json . dumps ( formaters , indent = 4 ) ) data = request . get ( 'data' , None ) if not isinstance ( data , str ) : return send ( client , 'inva...
Handle format request
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def easeInOutQuad ( n ) : _checkRange ( n ) if n < 0.5 : return 2 * n ** 2 else : n = n * 2 - 1 return - 0.5 * ( n * ( n - 2 ) - 1 )
A quadratic tween function that accelerates reaches the midpoint and then decelerates .
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def easeInOutCubic ( n ) : _checkRange ( n ) n = 2 * n if n < 1 : return 0.5 * n ** 3 else : n = n - 2 return 0.5 * ( n ** 3 + 2 )
A cubic tween function that accelerates reaches the midpoint and then decelerates .
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def easeInOutQuart ( n ) : _checkRange ( n ) n = 2 * n if n < 1 : return 0.5 * n ** 4 else : n = n - 2 return - 0.5 * ( n ** 4 - 2 )
A quartic tween function that accelerates reaches the midpoint and then decelerates .
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def easeInOutQuint ( n ) : _checkRange ( n ) n = 2 * n if n < 1 : return 0.5 * n ** 5 else : n = n - 2 return 0.5 * ( n ** 5 + 2 )
A quintic tween function that accelerates reaches the midpoint and then decelerates .
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def easeInOutExpo ( n ) : _checkRange ( n ) if n == 0 : return 0 elif n == 1 : return 1 else : n = n * 2 if n < 1 : return 0.5 * 2 ** ( 10 * ( n - 1 ) ) else : n -= 1 return 0.5 * ( - 1 * ( 2 ** ( - 10 * n ) ) + 2 )
An exponential tween function that accelerates reaches the midpoint and then decelerates .
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def easeInOutCirc ( n ) : _checkRange ( n ) n = n * 2 if n < 1 : return - 0.5 * ( math . sqrt ( 1 - n ** 2 ) - 1 ) else : n = n - 2 return 0.5 * ( math . sqrt ( 1 - n ** 2 ) + 1 )
A circular tween function that accelerates reaches the midpoint and then decelerates .
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def easeInElastic ( n , amplitude = 1 , period = 0.3 ) : _checkRange ( n ) return 1 - easeOutElastic ( 1 - n , amplitude = amplitude , period = period )
An elastic tween function that begins with an increasing wobble and then snaps into the destination .
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def easeOutElastic ( n , amplitude = 1 , period = 0.3 ) : _checkRange ( n ) if amplitude < 1 : amplitude = 1 s = period / 4 else : s = period / ( 2 * math . pi ) * math . asin ( 1 / amplitude ) return amplitude * 2 ** ( - 10 * n ) * math . sin ( ( n - s ) * ( 2 * math . pi / period ) ) + 1
An elastic tween function that overshoots the destination and then rubber bands into the destination .
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def easeInOutElastic ( n , amplitude = 1 , period = 0.5 ) : _checkRange ( n ) n *= 2 if n < 1 : return easeInElastic ( n , amplitude = amplitude , period = period ) / 2 else : return easeOutElastic ( n - 1 , amplitude = amplitude , period = period ) / 2 + 0.5
An elastic tween function wobbles towards the midpoint .
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def easeInBack ( n , s = 1.70158 ) : _checkRange ( n ) return n * n * ( ( s + 1 ) * n - s )
A tween function that backs up first at the start and then goes to the destination .
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def easeOutBack ( n , s = 1.70158 ) : _checkRange ( n ) n = n - 1 return n * n * ( ( s + 1 ) * n + s ) + 1
A tween function that overshoots the destination a little and then backs into the destination .
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def easeInOutBack ( n , s = 1.70158 ) : _checkRange ( n ) n = n * 2 if n < 1 : s *= 1.525 return 0.5 * ( n * n * ( ( s + 1 ) * n - s ) ) else : n -= 2 s *= 1.525 return 0.5 * ( n * n * ( ( s + 1 ) * n + s ) + 2 )
A back - in tween function that overshoots both the start and destination .
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def easeOutBounce ( n ) : _checkRange ( n ) if n < ( 1 / 2.75 ) : return 7.5625 * n * n elif n < ( 2 / 2.75 ) : n -= ( 1.5 / 2.75 ) return 7.5625 * n * n + 0.75 elif n < ( 2.5 / 2.75 ) : n -= ( 2.25 / 2.75 ) return 7.5625 * n * n + 0.9375 else : n -= ( 2.65 / 2.75 ) return 7.5625 * n * n + 0.984375
A bouncing tween function that hits the destination and then bounces to rest .
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def formfield_for_manytomany ( self , db_field , request , ** kwargs ) : db = kwargs . get ( 'using' ) kwargs [ 'queryset' ] = kwargs . get ( 'queryset' , self . get_field_queryset ( db , db_field , request ) ) return super ( AccessControlMixin , self ) . formfield_for_manytomany ( db_field , request , ** kwargs )
Not all Admin subclasses use get_field_queryset here so we will use it explicitly
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def delete_selected ( self , request , queryset ) : opts = self . model . _meta app_label = opts . app_label deletable_objects , model_count , perms_needed , protected = self . get_deleted_objects ( request , queryset ) if request . POST . get ( 'post' ) and not protected : if perms_needed or protected : raise Permissi...
The real delete function always evaluated either from the action or from the instance delete link
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def get_deleted_objects ( self , request , queryset ) : collector = NestedObjects ( using = queryset . db ) collector . collect ( queryset ) model_perms_needed = set ( ) object_perms_needed = set ( ) STRONG_DELETION_CONTROL = getattr ( settings , 'ACCESS_STRONG_DELETION_CONTROL' , False ) def format_callback ( obj ) : ...
Find all objects related to instances of queryset that should also be deleted .
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def register_plugins ( cls , plugins ) : for model in plugins : cls . register_plugin ( model , plugins [ model ] )
Reguster plugins . The plugins parameter should be dict mapping model to plugin .
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def register_plugin ( cls , model , plugin ) : logger . info ( "Plugin registered for %s: %s" , model , plugin ) cls . plugins [ model ] = plugin
Reguster a plugin for the model .
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def get_default_plugin ( cls ) : from importlib import import_module from django . conf import settings default_plugin = getattr ( settings , 'ACCESS_DEFAULT_PLUGIN' , "access.plugins.DjangoAccessPlugin" ) if default_plugin not in cls . default_plugins : logger . info ( "Creating a default plugin: %s" , default_plugin ...
Return a default plugin .
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def plugin_for ( cls , model ) : logger . debug ( "Getting a plugin for: %s" , model ) if not issubclass ( model , Model ) : return if model in cls . plugins : return cls . plugins [ model ] for b in model . __bases__ : p = cls . plugin_for ( b ) if p : return p
Find and return a plugin for this model . Uses inheritance to find a model where the plugin is registered .
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def visible ( self , request ) : return self . apply_visible ( self . get_queryset ( ) , request ) if self . check_visible ( self . model , request ) is not False else self . get_queryset ( ) . none ( )
Checks the both check_visible and apply_visible against the owned model and it s instance set
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def changeable ( self , request ) : return self . apply_changeable ( self . get_queryset ( ) , request ) if self . check_changeable ( self . model , request ) is not False else self . get_queryset ( ) . none ( )
Checks the both check_changeable and apply_changeable against the owned model and it s instance set
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def deleteable ( self , request ) : return self . apply_deleteable ( self . get_queryset ( ) , request ) if self . check_deleteable ( self . model , request ) is not False else self . get_queryset ( ) . none ( )
Checks the both check_deleteable and apply_deleteable against the owned model and it s instance set
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def get_plugin_from_string ( plugin_name ) : modulename , classname = plugin_name . rsplit ( '.' , 1 ) module = import_module ( modulename ) return getattr ( module , classname )
Returns plugin or plugin point class from given plugin_name string .
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def make_pdf ( dist , params , size = 10000 ) : arg = params [ : - 2 ] loc = params [ - 2 ] scale = params [ - 1 ] start = dist . ppf ( 0.01 , * arg , loc = loc , scale = scale ) if arg else dist . ppf ( 0.01 , loc = loc , scale = scale ) end = dist . ppf ( 0.99 , * arg , loc = loc , scale = scale ) if arg else dist . ...
Generate distributions s Propbability Distribution Function
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def urlencode ( query , params ) : return query + '?' + "&" . join ( key + '=' + quote_plus ( str ( value ) ) for key , value in params )
Correctly convert the given query and parameters into a full query + query string ensuring the order of the params .
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def _load_from_string ( data ) : global _CACHE if PYTHON_3 : data = json . loads ( data . decode ( "utf-8" ) ) else : data = json . loads ( data ) _CACHE = _recursively_convert_unicode_to_str ( data ) [ 'data' ]
Loads the cache from the string
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def get_model ( cls , name = None , status = ENABLED ) : ppath = cls . get_pythonpath ( ) if is_plugin_point ( cls ) : if name is not None : kwargs = { } if status is not None : kwargs [ 'status' ] = status return Plugin . objects . get ( point__pythonpath = ppath , name = name , ** kwargs ) else : return PluginPointMo...
Returns model instance of plugin point or plugin depending from which class this methos is called .
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def get_point_model ( cls ) : if is_plugin_point ( cls ) : raise Exception ( _ ( 'This method is only available to plugin ' 'classes.' ) ) else : return PluginPointModel . objects . get ( plugin__pythonpath = cls . get_pythonpath ( ) )
Returns plugin point model instance . Only used from plugin classes .
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def get_plugins ( cls ) : if django_version >= ( 1 , 9 ) and not db_table_exists ( Plugin . _meta . db_table ) : raise StopIteration if is_plugin_point ( cls ) : for plugin_model in cls . get_plugins_qs ( ) : yield plugin_model . get_plugin ( ) else : raise Exception ( _ ( 'This method is only available to plugin point...
Returns all plugin instances of plugin point passing all args and kwargs to plugin constructor .
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def get_plugins_qs ( cls ) : if is_plugin_point ( cls ) : point_pythonpath = cls . get_pythonpath ( ) return Plugin . objects . filter ( point__pythonpath = point_pythonpath , status = ENABLED ) . order_by ( 'index' ) else : raise Exception ( _ ( 'This method is only available to plugin point ' 'classes.' ) )
Returns query set of all plugins belonging to plugin point .
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def safeunicode ( arg , * args , ** kwargs ) : return arg if isinstance ( arg , unicode ) else unicode ( arg , * args , ** kwargs )
Coerce argument to unicode if it s not already .
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def get_reports ( ) : if False : pass else : rows = _Constants . _DATABASE . execute ( "SELECT data FROM energy" . format ( hardware = _Constants . _HARDWARE ) ) data = [ r [ 0 ] for r in rows ] data = [ _Auxiliary . _byteify ( _json . loads ( r ) ) for r in data ] return _Auxiliary . _byteify ( data )
Returns energy data from 1960 to 2014 across various factors .
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def available ( self , src , dst , model ) : for name , point in six . iteritems ( src ) : inst = dst . pop ( name , None ) if inst is None : self . print_ ( 1 , "Registering %s for %s" % ( model . __name__ , name ) ) inst = model ( pythonpath = name ) if inst . status == REMOVED : self . print_ ( 1 , "Updating %s for ...
Iterate over all registered plugins or plugin points and prepare to add them to database .
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def missing ( self , dst ) : for inst in six . itervalues ( dst ) : if inst . status != REMOVED : inst . status = REMOVED inst . save ( )
Mark all missing plugins that exists in database but are not registered .
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def all ( self ) : if django_version >= ( 1 , 9 ) and ( not db_table_exists ( Plugin . _meta . db_table ) or not db_table_exists ( PluginPoint . _meta . db_table ) ) : return self . points ( )
Synchronize all registered plugins and plugin points to database .
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def get_weather ( test = False ) : if _Constants . _TEST or test : rows = _Constants . _DATABASE . execute ( "SELECT data FROM weather LIMIT {hardware}" . format ( hardware = _Constants . _HARDWARE ) ) data = [ r [ 0 ] for r in rows ] data = [ _Auxiliary . _byteify ( _json . loads ( r ) ) for r in data ] return _Auxili...
Returns weather reports from the dataset .
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def _get ( self , url , ** kw ) : headers = kw . pop ( 'headers' , { } ) headers . setdefault ( 'Content-Type' , 'application/json' ) headers . setdefault ( 'Accept' , 'application/json' ) headers . setdefault ( 'Authorization' , self . AUTHORIZATION_HEADER ) kw [ 'headers' ] = headers resp = self . session . get ( url...
Makes a GET request setting Authorization header by default
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def _post ( self , url , ** kw ) : headers = kw . pop ( 'headers' , { } ) headers . setdefault ( 'Authorization' , self . AUTHORIZATION_HEADER ) kw [ 'headers' ] = headers resp = self . session . post ( url , ** kw ) self . _raise_for_status ( resp ) return resp
Makes a POST request setting Authorization header by default
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def _post_json ( self , url , data , ** kw ) : data = json . dumps ( data ) headers = kw . pop ( 'headers' , { } ) headers . setdefault ( 'Content-Type' , 'application/json' ) headers . setdefault ( 'Accept' , 'application/json' ) kw [ 'headers' ] = headers kw [ 'data' ] = data return self . _post ( url , ** kw )
Makes a POST request setting Authorization and Content - Type headers by default
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def authenticate ( self , login = None , password = None ) : if login is None : login = os . environ . get ( 'MS_LOGIN' ) if password is None : password = os . environ . get ( 'MS_PASSWD' ) if not login or not password : msg = ( 'Authentication credentials required. Please refer to ' 'http://xbox.readthedocs.org/en/lat...
Authenticated this client instance .
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def from_xuid ( cls , xuid ) : url = 'https://profile.xboxlive.com/users/xuid(%s)/profile/settings' % xuid try : return cls . _fetch ( url ) except ( GamertagNotFound , InvalidRequest ) : raise GamertagNotFound ( 'No such user: %s' % xuid )
Instantiates an instance of GamerProfile from an xuid
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def from_gamertag ( cls , gamertag ) : url = 'https://profile.xboxlive.com/users/gt(%s)/profile/settings' % gamertag try : return cls . _fetch ( url ) except GamertagNotFound : raise GamertagNotFound ( 'No such user: %s' % gamertag )
Instantiates an instance of GamerProfile from a gamertag
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def get ( cls , xuid , scid , clip_id ) : url = ( 'https://gameclipsmetadata.xboxlive.com/users' '/xuid(%(xuid)s)/scids/%(scid)s/clips/%(clip_id)s' % { 'xuid' : xuid , 'scid' : scid , 'clip_id' : clip_id , } ) resp = xbox . client . _get ( url ) if resp . status_code == 404 : msg = 'Could not find clip: xuid=%s, scid=%...
Gets a specific game clip
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def saved_from_user ( cls , user , include_pending = False ) : url = 'https://gameclipsmetadata.xboxlive.com/users/xuid(%s)/clips/saved' resp = xbox . client . _get ( url % user . xuid ) data = resp . json ( ) for clip in data [ 'gameClips' ] : if clip [ 'state' ] != 'PendingUpload' or include_pending : yield cls ( use...
Gets all clips saved by a user .
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def prepare_url ( self , url , params ) : url = to_native_string ( url ) if ':' in url and not url . lower ( ) . startswith ( 'http' ) : self . url = url return scheme , auth , host , port , path , query , fragment = parse_url ( url ) if not scheme : raise MissingSchema ( "Invalid URL {0!r}: No schema supplied. " "Perh...
Prepares the given HTTP URL .
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def description_of ( file , name = 'stdin' ) : u = UniversalDetector ( ) for line in file : u . feed ( line ) u . close ( ) result = u . result if result [ 'encoding' ] : return '%s: %s with confidence %s' % ( name , result [ 'encoding' ] , result [ 'confidence' ] ) else : return '%s: no result' % name
Return a string describing the probable encoding of a file .
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def run ( self ) : self . _debug ( 'Provider' , 'run' , 'Running pre-download callback.' ) self . _pre_download ( ) url = None out = None success = False try : url = Provider . _download ( self . get_download_url ( ) ) self . _debug ( 'Provider' , 'run' , 'Running in-download callback.' ) self . _in_download ( url ) if...
Download the video .
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def dumps ( obj , ** kwargs ) : try : return json . dumps ( obj , ** kwargs ) except Exception as e : raise JSONLibraryException ( e )
Serialize obj to a JSON formatted str . Accepts the same arguments as json module in stdlib .
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def prepend_name_prefix ( func ) : @ wraps ( func ) def prepend_prefix ( self , name , * args , ** kwargs ) : name = self . name_prefix + name return func ( self , name , * args , ** kwargs ) return prepend_prefix
Decorator that wraps instance methods to prepend the instance s filename prefix to the beginning of the referenced filename . Must only be used on instance methods where the first parameter after self is name or a comparable parameter of a different name .
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def get_chalk ( level ) : if level >= logging . ERROR : _chalk = chalk . red elif level >= logging . WARNING : _chalk = chalk . yellow elif level >= logging . INFO : _chalk = chalk . blue elif level >= logging . DEBUG : _chalk = chalk . green else : _chalk = chalk . white return _chalk
Gets the appropriate piece of chalk for the logging level
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def to_str ( obj ) : if not isinstance ( obj , str ) and PY3 and isinstance ( obj , bytes ) : obj = obj . decode ( 'utf-8' ) return obj if isinstance ( obj , string_types ) else str ( obj )
Attempts to convert given object to a string object
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def get_color ( self , value ) : if value in COLOR_SET : value = COLOR_MAP [ value ] else : try : value = int ( value ) if value >= 8 : raise ValueError ( ) except ValueError as exc : raise ValueError ( 'Colors should either a member of: {} or a positive ' 'integer below 8' . format ( ', ' . join ( COLOR_NAMES ) ) ) re...
Helper method to validate and map values used in the instantiation of of the Color object to the correct unicode value .
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def shuffle ( self , overwrite = False ) : if overwrite : shuffled = self . path else : shuffled = FileAPI . add_ext_name ( self . path , "_shuffled" ) lines = open ( self . path ) . readlines ( ) random . shuffle ( lines ) open ( shuffled , "w" ) . writelines ( lines ) self . path = shuffled
This method creates new shuffled file .
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def multiple_files_count_reads_in_windows ( bed_files , args ) : bed_windows = OrderedDict ( ) for bed_file in bed_files : logging . info ( "Binning " + bed_file ) if ".bedpe" in bed_file : chromosome_dfs = count_reads_in_windows_paired_end ( bed_file , args ) else : chromosome_dfs = count_reads_in_windows ( bed_file ,...
Use count_reads on multiple files and store result in dict .
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def _merge_files ( windows , nb_cpu ) : windows = iter ( windows ) merged = next ( windows ) for chromosome_dfs in windows : merged = merge_same_files ( merged , chromosome_dfs , nb_cpu ) return merged
Merge lists of chromosome bin df chromosome - wise .
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def py2round ( value ) : if value > 0 : return float ( floor ( float ( value ) + 0.5 ) ) else : return float ( ceil ( float ( value ) - 0.5 ) )
Round values as in Python 2 for Python 3 compatibility .
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def canonicalize ( interval , lower_inc = True , upper_inc = False ) : if not interval . discrete : raise TypeError ( 'Only discrete ranges can be canonicalized' ) if interval . empty : return interval lower , lower_inc = canonicalize_lower ( interval , lower_inc ) upper , upper_inc = canonicalize_upper ( interval , up...
Convert equivalent discrete intervals to different representations .
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def glb ( self , other ) : return self . __class__ ( [ min ( self . lower , other . lower ) , min ( self . upper , other . upper ) ] , lower_inc = self . lower_inc if self < other else other . lower_inc , upper_inc = self . upper_inc if self > other else other . upper_inc , )
Return the greatest lower bound for given intervals .
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def lub ( self , other ) : return self . __class__ ( [ max ( self . lower , other . lower ) , max ( self . upper , other . upper ) , ] , lower_inc = self . lower_inc if self < other else other . lower_inc , upper_inc = self . upper_inc if self > other else other . upper_inc , )
Return the least upper bound for given intervals .
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def compute_enriched_threshold ( average_window_readcount ) : current_threshold , survival_function = 0 , 1 for current_threshold in count ( start = 0 , step = 1 ) : survival_function -= poisson . pmf ( current_threshold , average_window_readcount ) if survival_function <= WINDOW_P_VALUE : break island_enriched_thresho...
Computes the minimum number of tags required in window for an island to be enriched .
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def _factln ( num ) : if num < 20 : log_factorial = log ( factorial ( num ) ) else : log_factorial = num * log ( num ) - num + log ( num * ( 1 + 4 * num * ( 1 + 2 * num ) ) ) / 6.0 + log ( pi ) / 2 return log_factorial
Computes logfactorial regularly for tractable numbers uses Ramanujans approximation otherwise .
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def add_new_enriched_bins_matrixes ( region_files , dfs , bin_size ) : dfs = _remove_epic_enriched ( dfs ) names = [ "Enriched_" + os . path . basename ( r ) for r in region_files ] regions = region_files_to_bins ( region_files , names , bin_size ) new_dfs = OrderedDict ( ) assert len ( regions . columns ) == len ( dfs...
Add enriched bins based on bed files .
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def merge_chromosome_dfs ( df_tuple ) : plus_df , minus_df = df_tuple index_cols = "Chromosome Bin" . split ( ) count_column = plus_df . columns [ 0 ] if plus_df . empty : return return_other ( minus_df , count_column , index_cols ) if minus_df . empty : return return_other ( plus_df , count_column , index_cols ) plus_...
Merges data from the two strands into strand - agnostic counts .
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def create_log2fc_bigwigs ( matrix , outdir , args ) : call ( "mkdir -p {}" . format ( outdir ) , shell = True ) genome_size_dict = args . chromosome_sizes outpaths = [ ] for bed_file in matrix [ args . treatment ] : outpath = join ( outdir , splitext ( basename ( bed_file ) ) [ 0 ] + "_log2fc.bw" ) outpaths . append (...
Create bigwigs from matrix .
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def add_to_island_expectations_dict ( average_window_readcount , current_max_scaled_score , island_eligibility_threshold , island_expectations , gap_contribution ) : scaled_score = current_max_scaled_score + E_VALUE for index in range ( current_max_scaled_score + 1 , scaled_score + 1 ) : island_expectation = 0.0 i = is...
Can probably be heavily optimized . Time required to run can be seen from logging info .
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def effective_genome_size ( fasta , read_length , nb_cores , tmpdir = "/tmp" ) : idx = Fasta ( fasta ) genome_length = sum ( [ len ( c ) for c in idx ] ) logging . info ( "Temporary directory: " + tmpdir ) logging . info ( "File analyzed: " + fasta ) logging . info ( "Genome length: " + str ( genome_length ) ) print ( ...
Compute effective genome size for genome .
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def get_island_bins ( df , window_size , genome , args ) : chromosomes = natsorted ( list ( args . chromosome_sizes ) ) chromosome_island_bins = { } df_copy = df . reset_index ( drop = False ) for chromosome in chromosomes : cdf = df_copy . loc [ df_copy . Chromosome == chromosome ] if cdf . empty : chromosome_island_b...
Finds the enriched bins in a df .
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def create_genome_size_dict ( genome ) : size_file = get_genome_size_file ( genome ) size_lines = open ( size_file ) . readlines ( ) size_dict = { } for line in size_lines : genome , length = line . split ( ) size_dict [ genome ] = int ( length ) return size_dict
Creates genome size dict from string containing data .
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def compute_score_threshold ( average_window_readcount , island_enriched_threshold , gap_contribution , boundary_contribution , genome_length_in_bins ) : required_p_value = poisson . pmf ( island_enriched_threshold , average_window_readcount ) prob = boundary_contribution * required_p_value score = - log ( required_p_v...
What does island_expectations do?
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def find_readlength ( args ) : try : bed_file = args . treatment [ 0 ] except AttributeError : bed_file = args . infiles [ 0 ] filereader = "cat " if bed_file . endswith ( ".gz" ) and search ( "linux" , platform , IGNORECASE ) : filereader = "zcat " elif bed_file . endswith ( ".gz" ) and search ( "darwin" , platform , ...
Estimate length of reads based on 10000 first .
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def get_closest_readlength ( estimated_readlength ) : readlengths = [ 36 , 50 , 75 , 100 ] differences = [ abs ( r - estimated_readlength ) for r in readlengths ] min_difference = min ( differences ) index_of_min_difference = [ i for i , d in enumerate ( differences ) if d == min_difference ] [ 0 ] return readlengths [...
Find the predefined readlength closest to the estimated readlength .