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def key_description ( self ) : "Return a description of the key" vk , scan , flags = self . _get_key_info ( ) desc = '' if vk : if vk in CODE_NAMES : desc = CODE_NAMES [ vk ] else : desc = "VK %d" % vk else : desc = "%s" % self . key return desc
Return a description of the key
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def _get_key_info ( self ) : "Virtual keys have extended flag set" if ( ( self . key >= 33 and self . key <= 46 ) or ( self . key >= 91 and self . key <= 93 ) ) : flags = KEYEVENTF_EXTENDEDKEY else : flags = 0 return self . key , MapVirtualKey ( self . key , 0 ) , flags
Virtual keys have extended flag set
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def _get_key_info ( self ) : vkey_scan = LoByte ( VkKeyScan ( self . key ) ) return ( vkey_scan , MapVirtualKey ( vkey_scan , 0 ) , 0 )
EscapedKeyAction doesn t send it as Unicode and the vk and scan code are generated differently
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def setup ( self ) : self . template = self . _generate_inline_policy ( ) if self . dry_run is not True : self . client = self . _get_client ( ) username = self . _get_username_for_key ( ) policy_document = self . _generate_inline_policy ( ) self . _attach_inline_policy ( username , policy_document ) pass
Method runs the plugin attaching policies to the user in question
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def _get_policies ( self ) : username = self . _get_username_for_key ( ) policies = self . client . list_user_policies ( UserName = username ) return policies
Returns all the policy names for a given user
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def _get_username_for_key ( self ) : response = self . client . get_access_key_last_used ( AccessKeyId = self . compromised_resource [ 'access_key_id' ] ) username = response [ 'UserName' ] return username
Find the user for a given access key
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def _generate_inline_policy ( self ) : template_name = self . _locate_file ( 'deny-sts-before-time.json.j2' ) template_file = open ( template_name ) template_contents = template_file . read ( ) template_file . close ( ) jinja_template = Template ( template_contents ) policy_document = jinja_template . render ( before_d...
Renders a policy from a jinja template
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def _attach_inline_policy ( self , username , policy_document ) : response = self . client . put_user_policy ( UserName = username , PolicyName = "threatresponse-temporal-key-revocation" , PolicyDocument = policy_document ) logger . info ( 'An inline policy has been attached for' ' {u} revoking sts tokens.' . format ( ...
Attaches the policy to the user
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def _locate_file ( self , pattern , root = os . path . dirname ( 'revokests_key.py' ) ) : for path , dirs , files in os . walk ( os . path . abspath ( root ) ) : for filename in fnmatch . filter ( files , pattern ) : return os . path . join ( path , filename )
Locate all files matching supplied filename pattern in and below
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def generate_tsv_pep_protein_quants ( fns ) : for fn in fns : header = get_tsv_header ( fn ) for pquant in generate_split_tsv_lines ( fn , header ) : yield os . path . basename ( fn ) , header , pquant
Unlike generate_tsv_lines_multifile this generates tsv lines from multiple files that may have different headers . Yields fn header as well as quant data for each protein quant
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def mzmlfn_kronikfeature_generator ( mzmlfns , kronikfns ) : for mzmlfn , kronikfn in zip ( mzmlfns , kronikfns ) : for quant_el in generate_kronik_feats ( kronikfn ) : yield os . path . basename ( mzmlfn ) , quant_el
Generates tuples of spectra filename and corresponding output features from kronik
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def generate_split_tsv_lines ( fn , header ) : for line in generate_tsv_psms_line ( fn ) : yield { x : y for ( x , y ) in zip ( header , line . strip ( ) . split ( '\t' ) ) }
Returns dicts with header - keys and psm statistic values
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def get_proteins_from_psm ( line ) : proteins = line [ mzidtsvdata . HEADER_PROTEIN ] . split ( ';' ) outproteins = [ ] for protein in proteins : prepost_protein = re . sub ( '\(pre=.*post=.*\)' , '' , protein ) . strip ( ) outproteins . append ( prepost_protein ) return outproteins
From a line return list of proteins reported by Mzid2TSV . When unrolled lines are given this returns the single protein from the line .
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def aug_sysargv ( cmdstr ) : import shlex argv = shlex . split ( cmdstr ) sys . argv . extend ( argv )
DEBUG FUNC modify argv to look like you ran a command
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def get_module_verbosity_flags ( * labels ) : verbose_prefix_list = [ '--verbose-' , '--verb' , '--verb-' ] veryverbose_prefix_list = [ '--veryverbose-' , '--veryverb' , '--veryverb-' ] verbose_flags = tuple ( [ prefix + lbl for prefix , lbl in itertools . product ( verbose_prefix_list , labels ) ] ) veryverbose_flags ...
checks for standard flags for enableing module specific verbosity
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def get_argflag ( argstr_ , default = False , help_ = '' , return_specified = None , need_prefix = True , return_was_specified = False , argv = None , debug = None , ** kwargs ) : if argv is None : argv = sys . argv assert isinstance ( default , bool ) , 'default must be boolean' argstr_list = meta_util_iter . ensure_i...
Checks if the commandline has a flag or a corresponding noflag
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def get_arg_dict ( argv = None , prefix_list = [ '--' ] , type_hints = { } ) : r if argv is None : argv = sys . argv arg_dict = { } def startswith_prefix ( arg ) : return any ( [ arg . startswith ( prefix ) for prefix in prefix_list ] ) def argx_has_value ( argv , argx ) : if argv [ argx ] . find ( '=' ) > - 1 : return...
r Yet another way for parsing args
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def argv_flag_dec ( * argin , ** kwargs ) : kwargs = kwargs . copy ( ) kwargs [ 'default' ] = kwargs . get ( 'default' , False ) from utool import util_decor @ util_decor . ignores_exc_tb ( outer_wrapper = False ) def wrap_argv_flag_dec ( func ) : return __argv_flag_dec ( func , ** kwargs ) assert len ( argin ) < 2 , '...
Decorators which control program flow based on sys . argv the decorated function does not execute without its corresponding flag
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def __argv_flag_dec ( func , default = False , quiet = QUIET , indent = False ) : from utool import util_decor flagname = meta_util_six . get_funcname ( func ) if flagname . find ( 'no' ) == 0 : flagname = flagname [ 2 : ] flags = ( '--' + flagname . replace ( '_' , '-' ) , '--' + flagname , ) @ util_decor . ignores_ex...
Logic for controlling if a function gets called based on command line
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def get_argv_tail ( scriptname , prefer_main = None , argv = None ) : r if argv is None : argv = sys . argv import utool as ut modname = ut . get_argval ( '-m' , help_ = 'specify module name to profile' , argv = argv ) if modname is not None : modpath = ut . get_modpath ( modname , prefer_main = prefer_main ) argvx = a...
r gets the rest of the arguments after a script has been invoked hack . accounts for python - m scripts .
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def get_cmdline_varargs ( argv = None ) : if argv is None : argv = sys . argv scriptname = argv [ 0 ] if scriptname == '' : pos_start = 0 pos_end = 0 else : pos_start = pos_end = 1 for idx in range ( pos_start , len ( argv ) ) : if argv [ idx ] . startswith ( '-' ) : pos_end = idx break else : pos_end = len ( argv ) cm...
Returns positional args specified directly after the scriptname and before any args starting with - on the commandline .
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def argval ( key , default = None , type = None , smartcast = True , return_exists = False , argv = None ) : defaultable_types = ( tuple , list , int , float ) if type is None and isinstance ( default , defaultable_types ) : type = builtins . type ( default ) return get_argval ( key , type_ = type , default = default ,...
alias for get_argval
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def plot_real_feature ( df , feature_name , bins = 50 , figsize = ( 15 , 15 ) ) : ix_negative_target = df [ df . target == 0 ] . index ix_positive_target = df [ df . target == 1 ] . index plt . figure ( figsize = figsize ) ax_overall_dist = plt . subplot2grid ( ( 3 , 2 ) , ( 0 , 0 ) , colspan = 2 ) ax_target_conditiona...
Plot the distribution of a real - valued feature conditioned by the target .
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def plot_pair ( df , feature_name_1 , feature_name_2 , kind = 'scatter' , alpha = 0.01 , ** kwargs ) : plt . figure ( ) sns . jointplot ( feature_name_1 , feature_name_2 , df , alpha = alpha , kind = kind , ** kwargs ) plt . show ( )
Plot a scatterplot of two features against one another and calculate Pearson correlation coefficient .
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def plot_feature_correlation_heatmap ( df , features , font_size = 9 , figsize = ( 15 , 15 ) , save_filename = None ) : features = features [ : ] features += [ 'target' ] mcorr = df [ features ] . corr ( ) mask = np . zeros_like ( mcorr , dtype = np . bool ) mask [ np . triu_indices_from ( mask ) ] = True cmap = sns . ...
Plot a correlation heatmap between every feature pair .
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def scatterplot_matrix ( df , features , downsample_frac = None , figsize = ( 15 , 15 ) ) : if downsample_frac : df = df . sample ( frac = downsample_frac ) plt . figure ( figsize = figsize ) sns . pairplot ( df [ features ] , hue = 'target' ) plt . show ( )
Plot a scatterplot matrix for a list of features colored by target value .
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def process_nested_tags ( self , node , tag = '' ) : if tag == '' : t = node . ltag else : t = tag . lower ( ) for child in node . children : self . xml_node_stack = [ child ] + self . xml_node_stack ctagl = child . ltag if ctagl in self . tag_parse_table and ctagl in self . valid_children [ t ] : self . tag_parse_tabl...
Process child tags .
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def parse ( self , xmltext ) : xml = LEMSXMLNode ( xe . XML ( xmltext ) ) if xml . ltag != 'lems' and xml . ltag != 'neuroml' : raise ParseError ( '<Lems> expected as root element (or even <neuroml>), found: {0}' . format ( xml . ltag ) ) self . process_nested_tags ( xml )
Parse a string containing LEMS XML text .
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def raise_error ( self , message , * params , ** key_params ) : s = 'Parser error in ' self . xml_node_stack . reverse ( ) if len ( self . xml_node_stack ) > 1 : node = self . xml_node_stack [ 0 ] s += '<{0}' . format ( node . tag ) if 'name' in node . lattrib : s += ' name=\"{0}\"' . format ( node . lattrib [ 'name' ]...
Raise a parse error .
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def parse_component_by_typename ( self , node , type_ ) : if 'id' in node . lattrib : id_ = node . lattrib [ 'id' ] else : id_ = node . tag if 'type' in node . lattrib : type_ = node . lattrib [ 'type' ] else : type_ = node . tag component = Component ( id_ , type_ ) if self . current_component : component . set_parent...
Parses components defined directly by component name .
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def generate_tags_multiple_files ( input_files , tag , ignore_tags , ns = None ) : return itertools . chain . from_iterable ( [ generate_xmltags ( fn , tag , ignore_tags , ns ) for fn in input_files ] )
Calls xmltag generator for multiple files .
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def generate_tags_multiple_files_strings ( input_files , ns , tag , ignore_tags ) : for el in generate_tags_multiple_files ( input_files , tag , ignore_tags , ns ) : yield formatting . string_and_clear ( el , ns )
Creates stringified xml output of elements with certain tag .
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def generate_xmltags ( fn , returntag , ignore_tags , ns = None ) : xmlns = create_namespace ( ns ) ns_ignore = [ '{0}{1}' . format ( xmlns , x ) for x in ignore_tags ] for ac , el in etree . iterparse ( fn ) : if el . tag == '{0}{1}' . format ( xmlns , returntag ) : yield el elif el . tag in ns_ignore : formatting . c...
Base generator for percolator xml psm peptide protein output as well as for mzML mzIdentML . ignore_tags are the ones that are cleared when met by parser .
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def add_component_type ( self , component_type ) : name = component_type . name if ':' in name : name = name . replace ( ':' , '_' ) component_type . name = name self . component_types [ name ] = component_type
Adds a component type to the model .
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def add ( self , child ) : if isinstance ( child , Include ) : self . add_include ( child ) elif isinstance ( child , Dimension ) : self . add_dimension ( child ) elif isinstance ( child , Unit ) : self . add_unit ( child ) elif isinstance ( child , ComponentType ) : self . add_component_type ( child ) elif isinstance ...
Adds a typed child object to the model .
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def include_file ( self , path , include_dirs = [ ] ) : if self . include_includes : if self . debug : print ( "------------------ Including a file: %s" % path ) inc_dirs = include_dirs if include_dirs else self . include_dirs parser = LEMSFileParser ( self , inc_dirs , self . include_includes ) if os...
Includes a file into the current model .
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def import_from_file ( self , filepath ) : inc_dirs = self . include_directories [ : ] inc_dirs . append ( dirname ( filepath ) ) parser = LEMSFileParser ( self , inc_dirs , self . include_includes ) with open ( filepath ) as f : parser . parse ( f . read ( ) )
Import a model from a file .
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def export_to_dom ( self ) : namespaces = 'xmlns="http://www.neuroml.org/lems/%s" ' + 'xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" ' + 'xsi:schemaLocation="http://www.neuroml.org/lems/%s %s"' namespaces = namespaces % ( self . target_lems_version , self . target_lems_version , self . schema_location ) xmlstr ...
Exports this model to a DOM .
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def export_to_file ( self , filepath , level_prefix = ' ' ) : xmldom = self . export_to_dom ( ) xmlstr = xmldom . toprettyxml ( level_prefix , '\n' , ) f = open ( filepath , 'w' ) f . write ( xmlstr ) f . close ( )
Exports this model to a file .
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def resolve ( self ) : model = self . copy ( ) for ct in model . component_types : model . resolve_component_type ( ct ) for c in model . components : if c . id not in model . fat_components : model . add ( model . fatten_component ( c ) ) for c in ct . constants : c2 = c . copy ( ) c2 . numeric_value = model . get_num...
Resolves references in this model .
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def resolve_component_type ( self , component_type ) : if component_type . extends : try : base_ct = self . component_types [ component_type . extends ] except : raise ModelError ( "Component type '{0}' trying to extend unknown component type '{1}'" , component_type . name , component_type . extends ) self . resolve_co...
Resolves references in the specified component type .
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def merge_component_types ( self , ct , base_ct ) : for parameter in base_ct . parameters : if parameter . name in ct . parameters : p = ct . parameters [ parameter . name ] basep = base_ct . parameters [ parameter . name ] if p . fixed : p . value = p . fixed_value p . dimension = basep . dimension else : ct . paramet...
Merge various maps in the given component type from a base component type .
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def resolve_simulation ( self , fc , ct ) : for run in ct . simulation . runs : try : run2 = Run ( fc . component_references [ run . component ] . referenced_component , run . variable , fc . parameters [ run . increment ] . numeric_value , fc . parameters [ run . total ] . numeric_value ) except : raise ModelError ( "...
Resolve simulation specifications .
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def get_numeric_value ( self , value_str , dimension = None ) : n = None i = len ( value_str ) while n is None : try : part = value_str [ 0 : i ] nn = float ( part ) n = nn s = value_str [ i : ] except ValueError : i = i - 1 number = n sym = s numeric_value = None if sym == '' : numeric_value = number else : if sym in ...
Get the numeric value for a parameter value specification .
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def start_msstitch ( exec_drivers , sysargs ) : parser = populate_parser ( exec_drivers ) args = parser . parse_args ( sysargs [ 1 : ] ) args . func ( ** vars ( args ) )
Passed all drivers of executable checks which command is passed to the executable and then gets the options for a driver parses them from command line and runs the driver
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def merged ( * dicts , ** kwargs ) : if not dicts : return Struct ( ) result = dict ( ) for d in dicts : result . update ( d ) result . update ( kwargs ) struct_type = type ( dicts [ 0 ] ) return struct_type ( ** result )
Merge dictionaries . Later keys overwrite .
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def order_derived_parameters ( component ) : if len ( component . derived_parameters ) == 0 : return [ ] ordering = [ ] dps = [ ] for dp in component . derived_parameters : dps . append ( dp . name ) maxcount = 5 count = maxcount while count > 0 and dps != [ ] : count = count - 1 for dp1 in dps : value = component . de...
Finds ordering of derived_parameters .
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def order_derived_variables ( regime ) : ordering = [ ] dvs = [ ] dvsnoexp = [ ] maxcount = 5 for dv in regime . derived_variables : if dv . expression_tree == None : dvsnoexp . append ( dv . name ) else : dvs . append ( dv . name ) for dv in regime . conditional_derived_variables : if len ( dv . cases ) == 0 : dvsnoex...
Finds ordering of derived_variables .
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def build ( self ) : self . sim = Simulation ( ) for component_id in self . model . targets : if component_id not in self . model . components : raise SimBuildError ( "Unable to find target component '{0}'" , component_id ) component = self . model . fat_components [ component_id ] runnable = self . build_runnable ( co...
Build the simulation components from the model .
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def build_event_connections ( self , component , runnable , structure ) : if self . debug : print ( "\n++++++++ Calling build_event_connections of %s with runnable %s, parent %s" % ( component . id , runnable . id , runnable . parent ) ) for ec in structure . event_connections : if self . debug : print ( ec . toxml ( )...
Adds event connections to a runnable component based on the structure specifications in the component model .
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def build_structure ( self , component , runnable , structure ) : if self . debug : print ( "\n++++++++ Calling build_structure of %s with runnable %s, parent %s" % ( component . id , runnable . id , runnable . parent ) ) for ch in structure . child_instances : child_runnable = self . build_runnable ( ch . referenced_c...
Adds structure to a runnable component based on the structure specifications in the component model .
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def build_foreach ( self , component , runnable , foreach , name_mappings = { } ) : if self . debug : print ( "\n++++++++ Calling build_foreach of %s with runnable %s, parent %s, name_mappings: %s" % ( component . id , runnable . id , runnable . parent , name_mappings ) ) target_array = runnable . resolve_path ( foreac...
Iterate over ForEach constructs and process nested elements .
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def process_simulation_specs ( self , component , runnable , simulation ) : for run in simulation . runs : cid = run . component . id + '_' + component . id target = self . build_runnable ( run . component , runnable , cid ) self . sim . add_runnable ( target ) self . current_record_target = target target . configure_t...
Process simulation - related aspects to a runnable component based on the dynamics specifications in the component model .
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def build_expression_from_tree ( self , runnable , regime , tree_node ) : component_type = self . model . component_types [ runnable . component . type ] dynamics = component_type . dynamics if tree_node . type == ExprNode . VALUE : if tree_node . value [ 0 ] . isalpha ( ) : if tree_node . value == 't' : return 'self.t...
Recursively builds a Python expression from a parsed expression tree .
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def build_event_handler ( self , runnable , regime , event_handler ) : if isinstance ( event_handler , OnCondition ) : return self . build_on_condition ( runnable , regime , event_handler ) elif isinstance ( event_handler , OnEvent ) : return self . build_on_event ( runnable , regime , event_handler ) elif isinstance (...
Build event handler code .
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def build_on_condition ( self , runnable , regime , on_condition ) : on_condition_code = [ ] on_condition_code += [ 'if {0}:' . format ( self . build_expression_from_tree ( runnable , regime , on_condition . expression_tree ) ) ] for action in on_condition . actions : code = self . build_action ( runnable , regime , ac...
Build OnCondition event handler code .
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def build_on_event ( self , runnable , regime , on_event ) : on_event_code = [ ] if self . debug : on_event_code += [ 'print("Maybe handling something for %s ("+str(id(self))+")")' % ( runnable . id ) , 'print("EICs ("+str(id(self))+"): "+str(self.event_in_counters))' ] on_event_code += [ 'count = self.event_in_counter...
Build OnEvent event handler code .
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def build_on_start ( self , runnable , regime , on_start ) : on_start_code = [ ] for action in on_start . actions : code = self . build_action ( runnable , regime , action ) for line in code : on_start_code += [ line ] return on_start_code
Build OnStart start handler code .
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def build_on_entry ( self , runnable , regime , on_entry ) : on_entry_code = [ ] on_entry_code += [ 'if self.current_regime != self.last_regime:' ] on_entry_code += [ ' self.last_regime = self.current_regime' ] for action in on_entry . actions : code = self . build_action ( runnable , regime , action ) for line in c...
Build OnEntry start handler code .
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def build_action ( self , runnable , regime , action ) : if isinstance ( action , StateAssignment ) : return self . build_state_assignment ( runnable , regime , action ) if isinstance ( action , EventOut ) : return self . build_event_out ( action ) if isinstance ( action , Transition ) : return self . build_transition ...
Build event handler action code .
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def build_state_assignment ( self , runnable , regime , state_assignment ) : return [ 'self.{0} = {1}' . format ( state_assignment . variable , self . build_expression_from_tree ( runnable , regime , state_assignment . expression_tree ) ) ]
Build state assignment code .
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def build_event_out ( self , event_out ) : event_out_code = [ 'if "{0}" in self.event_out_callbacks:' . format ( event_out . port ) , ' for c in self.event_out_callbacks[\'{0}\']:' . format ( event_out . port ) , ' c()' ] return event_out_code
Build event out code .
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def build_reduce_code ( self , result , select , reduce ) : select = select . replace ( '/' , '.' ) select = select . replace ( ' ' , '' ) if reduce == 'add' : reduce_op = '+' acc_start = 0 else : reduce_op = '*' acc_start = 1 bits = re . split ( '\[.*\]' , select ) seps = re . findall ( '\[.*\]' , select ) code = [ 's...
Builds a reduce operation on the selected target range .
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def add_recording_behavior ( self , component , runnable ) : simulation = component . simulation for rec in simulation . records : rec . id = runnable . id self . current_record_target . add_variable_recorder ( self . current_data_output , rec )
Adds recording - related dynamics to a runnable component based on the dynamics specifications in the component model .
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def check_static_member_vars ( class_ , fpath = None , only_init = True ) : import utool as ut if isinstance ( class_ , six . string_types ) : classname = class_ if fpath is None : raise Exception ( 'must specify fpath' ) else : if not isinstance ( class_ , type ) : class_instance = class_ class_ = class_instance . __c...
class_ can either be live object or a classname
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def get_funcnames_from_modpath ( modpath , include_methods = True ) : import utool as ut if True : import jedi source = ut . read_from ( modpath ) definition_list = jedi . names ( source ) funcname_list = [ definition . name for definition in definition_list if definition . type == 'function' ] if include_methods : cla...
Get all functions defined in module
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def help_members ( obj , use_other = False ) : r import utool as ut attrnames = dir ( obj ) attr_list = [ getattr ( obj , attrname ) for attrname in attrnames ] attr_types = ut . lmap ( ut . type_str , map ( type , attr_list ) ) unique_types , groupxs = ut . group_indices ( attr_types ) type_to_items = ut . dzip ( uniq...
r Inspects members of a class
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def is_defined_by_module ( item , module , parent = None ) : flag = False if isinstance ( item , types . ModuleType ) : if not hasattr ( item , '__file__' ) : try : import utool as ut name = ut . get_modname_from_modpath ( module . __file__ ) flag = name in str ( item ) except : flag = False else : item_modpath = os . ...
Check if item is directly defined by a module . This check may be prone to errors .
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def is_bateries_included ( item ) : flag = False if hasattr ( item , '__call__' ) and hasattr ( item , '__module__' ) : if item . __module__ is not None : module = sys . modules [ item . __module__ ] if module == builtins : flag = True elif hasattr ( module , '__file__' ) : flag = LIB_PATH == dirname ( module . __file_...
Returns if a value is a python builtin function
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def dummy_func ( arg1 , arg2 , arg3 = None , arg4 = [ 1 , 2 , 3 ] , arg5 = { } , ** kwargs ) : foo = kwargs . get ( 'foo' , None ) bar = kwargs . pop ( 'bar' , 4 ) foo2 = kwargs [ 'foo2' ] foobar = str ( foo ) + str ( bar ) + str ( foo2 ) return foobar
test func for kwargs parseing
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def get_docstr ( func_or_class ) : import utool as ut try : docstr_ = func_or_class . func_doc except AttributeError : docstr_ = func_or_class . __doc__ if docstr_ is None : docstr_ = '' docstr = ut . unindent ( docstr_ ) return docstr
Get the docstring from a live object
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def find_funcs_called_with_kwargs ( sourcecode , target_kwargs_name = 'kwargs' ) : r import ast sourcecode = 'from __future__ import print_function\n' + sourcecode pt = ast . parse ( sourcecode ) child_funcnamess = [ ] debug = False or VERYVERB_INSPECT if debug : print ( '\nInput:' ) print ( 'target_kwargs_name = %r' %...
r Finds functions that are called with the keyword kwargs variable
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def get_func_argspec ( func ) : if hasattr ( func , '_utinfo' ) : argspec = func . _utinfo [ 'orig_argspec' ] return argspec if isinstance ( func , property ) : func = func . fget try : argspec = inspect . getargspec ( func ) except Exception : argspec = inspect . getfullargspec ( func ) return argspec
wrapper around inspect . getargspec but takes into account utool decorators
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def parse_func_kwarg_keys ( func , with_vals = False ) : sourcecode = get_func_sourcecode ( func , strip_docstr = True , strip_comments = True ) kwkeys = parse_kwarg_keys ( sourcecode , with_vals = with_vals ) return kwkeys
hacky inference of kwargs keys
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def get_func_kwargs ( func , recursive = True ) : import utool as ut argspec = ut . get_func_argspec ( func ) if argspec . defaults is None : header_kw = { } else : header_kw = dict ( zip ( argspec . args [ : : - 1 ] , argspec . defaults [ : : - 1 ] ) ) if argspec . keywords is not None : header_kw . update ( dict ( ut...
func = ibeis . run_experiment
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def argparse_funckw ( func , defaults = { } , ** kwargs ) : import utool as ut funckw_ = ut . get_funckw ( func , recursive = True ) funckw_ . update ( defaults ) funckw = ut . argparse_dict ( funckw_ , ** kwargs ) return funckw
allows kwargs to be specified on the commandline from testfuncs
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def _qt_set_leaf_data ( self , qvar ) : if VERBOSE_PREF : print ( '' ) print ( '+--- [pref.qt_set_leaf_data]' ) print ( '[pref.qt_set_leaf_data] qvar = %r' % qvar ) print ( '[pref.qt_set_leaf_data] _intern.name=%r' % self . _intern . name ) print ( '[pref.qt_set_leaf_data] _intern.type_=%r' % self . _intern . get_type ...
Sets backend data using QVariants
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def toggle ( self , key ) : val = self [ key ] assert isinstance ( val , bool ) , 'key[%r] = %r is not a bool' % ( key , val ) self . pref_update ( key , not val )
Toggles a boolean key
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def change_combo_val ( self , new_val ) : choice_obj = self . _intern . value assert isinstance ( self . _intern . value , PrefChoice ) , 'must be a choice' return choice_obj . get_tuple ( )
Checks to see if a selection is a valid index or choice of a combo preference
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def iteritems ( self ) : for ( key , val ) in six . iteritems ( self . __dict__ ) : if key in self . _printable_exclude : continue yield ( key , val )
Wow this class is messed up . I had to overwrite items when moving to python3 just because I haden t called it yet
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def to_dict ( self , split_structs_bit = False ) : pref_dict = { } struct_dict = { } for ( key , val ) in six . iteritems ( self ) : if split_structs_bit and isinstance ( val , Pref ) : struct_dict [ key ] = val continue pref_dict [ key ] = val if split_structs_bit : return ( pref_dict , struct_dict ) return pref_dict
Converts prefeters to a dictionary . Children Pref can be optionally separated
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def save ( self ) : fpath = self . get_fpath ( ) if fpath in [ '' , None ] : if self . _tree . parent is not None : if VERBOSE_PREF : print ( '[pref.save] Can my parent save me?' ) return self . _tree . parent . save ( ) if VERBOSE_PREF : print ( '[pref.save] I cannot be saved. I have no parents.' ) return False with o...
Saves prefs to disk in dict format
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def load ( self ) : if VERBOSE_PREF : print ( '[pref.load()]' ) fpath = self . get_fpath ( ) try : with open ( fpath , 'rb' ) as f : if VERBOSE_PREF : print ( 'load: %r' % fpath ) pref_dict = pickle . load ( f ) except EOFError as ex1 : util_dbg . printex ( ex1 , 'did not load pref fpath=%r correctly' % fpath , iswarni...
Read pref dict stored on disk . Overwriting current values .
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def full_name ( self ) : if self . _tree . parent is None : return self . _intern . name return self . _tree . parent . full_name ( ) + '.' + self . _intern . name
returns name all the way up the tree
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def pref_update ( self , key , new_val ) : print ( 'Update and save pref from: %s=%r, to: %s=%r' % ( key , six . text_type ( self [ key ] ) , key , six . text_type ( new_val ) ) ) self . __setattr__ ( key , new_val ) return self . save ( )
Changes a preference value and saves it to disk
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def __get_permissions ( self , res , ** kwargs ) : response = res . _ ( ** kwargs ) return response . get ( 'permissions' , None )
This call returns current login user s permissions .
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def inject_all_external_modules ( self , classname = None , allow_override = 'override+warn' , strict = True ) : if classname is None : classname = self . __class__ . __name__ NEW = True if NEW : classkey_list = [ key for key in __CLASSTYPE_ATTRIBUTES__ if key [ 0 ] == classname ] else : injected_modules = get_injected...
dynamically injects registered module methods into a class instance
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def decorate_class_method ( func , classkey = None , skipmain = False ) : global __CLASSTYPE_ATTRIBUTES__ assert classkey is not None , 'must specify classkey' __CLASSTYPE_ATTRIBUTES__ [ classkey ] . append ( func ) return func
Will inject all decorated function as methods of classkey
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def decorate_postinject ( func , classkey = None , skipmain = False ) : global __CLASSTYPE_POSTINJECT_FUNCS__ assert classkey is not None , 'must specify classkey' __CLASSTYPE_POSTINJECT_FUNCS__ [ classkey ] . append ( func ) return func
Will perform func with argument self after inject_instance is called on classkey
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def inject_func_as_method ( self , func , method_name = None , class_ = None , allow_override = False , allow_main = False , verbose = True , override = None , force = False ) : if override is not None : allow_override = override if method_name is None : method_name = get_funcname ( func ) if force : allow_override = T...
Injects a function into an object as a method
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def inject_func_as_unbound_method ( class_ , func , method_name = None ) : if method_name is None : method_name = get_funcname ( func ) setattr ( class_ , method_name , func )
This is actually quite simple
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def reloading_meta_metaclass_factory ( BASE_TYPE = type ) : class ReloadingMetaclass2 ( BASE_TYPE ) : def __init__ ( metaself , name , bases , dct ) : super ( ReloadingMetaclass2 , metaself ) . __init__ ( name , bases , dct ) metaself . rrr = reload_class return ReloadingMetaclass2
hack for pyqt
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def reload_class ( self , verbose = True , reload_module = True ) : import utool as ut verbose = verbose or VERBOSE_CLASS classname = self . __class__ . __name__ try : modname = self . __class__ . __module__ if verbose : print ( '[class] reloading ' + classname + ' from ' + modname ) if hasattr ( self , '_on_reload' ) ...
special class reloading function This function is often injected as rrr of classes
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def reload_class_methods ( self , class_ , verbose = True ) : if verbose : print ( '[util_class] Reloading self=%r as class_=%r' % ( self , class_ ) ) self . __class__ = class_ for key in dir ( class_ ) : func = getattr ( class_ , key ) if isinstance ( func , types . MethodType ) : inject_func_as_method ( self , func ,...
rebinds all class methods
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def remove_private_obfuscation ( self ) : classname = self . __class__ . __name__ attrlist = [ attr for attr in dir ( self ) if attr . startswith ( '_' + classname + '__' ) ] for attr in attrlist : method = getattr ( self , attr ) truename = attr . replace ( '_' + classname + '__' , '__' ) setattr ( self , truename , m...
removes the python obfuscation of class privates so they can be executed as they appear in class source . Useful when playing with IPython .
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def create_peptidequant_lookup ( fns , pqdb , poolnames , pepseq_colnr , ms1_qcolpattern = None , isobqcolpattern = None , psmnrpattern = None , fdrcolpattern = None , pepcolpattern = None ) : patterns = [ ms1_qcolpattern , fdrcolpattern , pepcolpattern ] storefuns = [ pqdb . store_precursor_quants , pqdb . store_fdr ,...
Calls lower level function to create a peptide quant lookup
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def create_proteinquant_lookup ( fns , pqdb , poolnames , protacc_colnr , ms1_qcolpattern = None , isobqcolpattern = None , psmnrpattern = None , probcolpattern = None , fdrcolpattern = None , pepcolpattern = None ) : patterns = [ ms1_qcolpattern , probcolpattern , fdrcolpattern , pepcolpattern ] storefuns = [ pqdb . s...
Calls lower level function to create a protein quant lookup
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def create_pep_protein_quant_lookup ( fns , pqdb , poolnames , featcolnr , patterns , storefuns , isobqcolpattern = None , psmnrpattern = None ) : tablefn_map = create_tablefn_map ( fns , pqdb , poolnames ) feat_map = pqdb . get_feature_map ( ) for pattern , storefun in zip ( patterns , storefuns ) : if pattern is None...
Does the work when creating peptide and protein quant lookups . This loops through storing options and parses columns passing on to the storing functions
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def store_single_col_data ( fns , prottable_id_map , pacc_map , pqdbmethod , protacc_colnr , colmap ) : to_store = [ ] for fn , header , pquant in tsvreader . generate_tsv_pep_protein_quants ( fns ) : pacc_id = pacc_map [ pquant [ header [ protacc_colnr ] ] ] pqdata = ( pacc_id , prottable_id_map [ fn ] , pquant [ colm...
General method to store single column data from protein tables in lookup
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def map_psmnrcol_to_quantcol ( quantcols , psmcols , tablefn_map ) : if not psmcols : for fn in quantcols : for qcol in quantcols [ fn ] : yield ( tablefn_map [ fn ] , qcol ) else : for fn in quantcols : for qcol , psmcol in zip ( quantcols [ fn ] , psmcols [ fn ] ) : yield ( tablefn_map [ fn ] , qcol , psmcol )
This function yields tuples of table filename isobaric quant column and if necessary number - of - PSM column