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def auto_instantiate ( * classes ) : """Creates a decorator that will instantiate objects based on function parameter annotations . The decorator will check every argument passed into ` ` f ` ` . If ` ` f ` ` has an annotation for the specified parameter and the annotation is found in ` ` classes ` ` , the ...
def decorator ( f ) : # collect our argspec sig = signature ( f ) @ wraps ( f ) def _ ( * args , ** kwargs ) : bvals = sig . bind ( * args , ** kwargs ) # replace with instance if desired for varname , val in bvals . arguments . items ( ) : anno = sig . parameters [ varna...
def get_element_by_id ( self , ident ) : """Get a TocElement element identified by index number from the container ."""
for group in list ( self . toc . keys ( ) ) : for name in list ( self . toc [ group ] . keys ( ) ) : if self . toc [ group ] [ name ] . ident == ident : return self . toc [ group ] [ name ] return None
def plot_pseudosections ( self , column , filename = None , return_fig = False ) : """Create a multi - plot with one pseudosection for each frequency . Parameters column : string which column to plot filename : None | string output filename . If set to None , do not write to file . Default : None retu...
assert column in self . data . columns g = self . data . groupby ( 'frequency' ) fig , axes = plt . subplots ( 4 , 2 , figsize = ( 15 / 2.54 , 20 / 2.54 ) , sharex = True , sharey = True ) for ax , ( key , item ) in zip ( axes . flat , g ) : fig , ax , cb = PS . plot_pseudosection_type2 ( item , ax = ax , column = ...
def _plot_inversion ( f , rhs , r , k , imin , spacing , shift , cvar ) : r"""QC the resulting filter ."""
# Check matplotlib ( soft dependency ) if not plt : print ( plt_msg ) return plt . figure ( "Inversion result " + f . name , figsize = ( 9.5 , 4 ) ) plt . subplots_adjust ( wspace = .3 , bottom = 0.2 ) plt . clf ( ) tk = np . logspace ( np . log10 ( k . min ( ) ) , np . log10 ( k . max ( ) ) , r . size ) plt . ...
def set_branch ( self , commit , branch_name ) : """Sets a commit and its ancestors as a branch . Params : * commit : A tuple , string , or Commit object representing the commit . * branch _ name : The name for the branch to set ."""
res = proto . SetBranchRequest ( commit = commit_from ( commit ) , branch = branch_name ) self . stub . SetBranch ( res , metadata = self . metadata )
def full_self_attention ( x , self_attention_bias , hparams , q_padding = "LEFT" , kv_padding = "LEFT" ) : """Full self - attention layer ."""
x , x_shape , is_4d = maybe_reshape_4d_to_3d ( x ) if self_attention_bias is not None : self_attention_bias = get_self_attention_bias ( x ) with tf . variable_scope ( "self_att" ) : y = common_attention . multihead_attention ( x , None , self_attention_bias , hparams . attention_key_channels or hparams . hidden...
def supports_coordinate_type ( self , coordinate_type ) : """Tests if the given coordinate type is supported . arg : coordinate _ type ( osid . type . Type ) : a coordinate Type return : ( boolean ) - ` ` true ` ` if the type is supported , ` ` false ` ` otherwise raise : IllegalState - syntax is not a ` ` ...
# Implemented from template for osid . Metadata . supports _ coordinate _ type if self . _kwargs [ 'syntax' ] not in [ '``COORDINATE``' ] : raise errors . IllegalState ( ) return coordinate_type in self . get_coordinate_types
def DialectAddToEnv ( env , dialect , suffixes , ppsuffixes , support_module = 0 ) : """Add dialect specific construction variables ."""
ComputeFortranSuffixes ( suffixes , ppsuffixes ) fscan = SCons . Scanner . Fortran . FortranScan ( "%sPATH" % dialect ) for suffix in suffixes + ppsuffixes : SCons . Tool . SourceFileScanner . add_scanner ( suffix , fscan ) env . AppendUnique ( FORTRANSUFFIXES = suffixes + ppsuffixes ) compaction , compppaction , s...
def _handle_raw_packet ( self , raw_packet ) : """Parse incoming packet ."""
if raw_packet [ 1 : 2 ] == b'\x1f' : self . _reset_timeout ( ) year = raw_packet [ 2 ] month = raw_packet [ 3 ] day = raw_packet [ 4 ] hour = raw_packet [ 5 ] minute = raw_packet [ 6 ] sec = raw_packet [ 7 ] week = raw_packet [ 8 ] self . logger . debug ( 'received date: Year: %s, Mo...
def encompasses ( self , span ) : """Returns true if the given span fits inside this one"""
if isinstance ( span , list ) : return [ sp for sp in span if self . _encompasses ( sp ) ] return self . _encompasses ( span )
def read ( self , n ) : """Read n bytes ."""
self . bitcount = self . bits = 0 return self . input . read ( n )
def format_item ( self , item ) : "Construct result dictionary for the match item ."
result = { 'id' : self . get_item_id ( item ) , 'value' : self . get_item_value ( item ) , 'label' : self . get_item_label ( item ) , } for key in settings . SELECTABLE_ESCAPED_KEYS : if key in result : result [ key ] = conditional_escape ( result [ key ] ) return result
def check_delta ( fun , x , dxs , period = None ) : """Check the difference between two function values using the analytical gradient Arguments : | ` ` fun ` ` - - The function to be tested , more info below . | ` ` x ` ` - - The argument vector . | ` ` dxs ` ` - - A matrix where each row is a vector of sma...
dn1s = [ ] dn2s = [ ] dnds = [ ] for dx in dxs : f0 , grad0 = fun ( x , do_gradient = True ) f1 , grad1 = fun ( x + dx , do_gradient = True ) grad = 0.5 * ( grad0 + grad1 ) d1 = f1 - f0 if period is not None : d1 -= np . floor ( d1 / period + 0.5 ) * period if hasattr ( d1 , '__iter__' )...
def render_honeypot_field ( field_name = None ) : """Renders honeypot field named field _ name ( defaults to HONEYPOT _ FIELD _ NAME ) ."""
if not field_name : field_name = settings . HONEYPOT_FIELD_NAME value = getattr ( settings , 'HONEYPOT_VALUE' , '' ) if callable ( value ) : value = value ( ) return { 'fieldname' : field_name , 'value' : value }
def TerrainAttribute ( dem , attrib , zscale = 1.0 ) : """Calculates terrain attributes . A variety of methods are available . Args : dem ( rdarray ) : An elevation model attrib ( str ) : Terrain attribute to calculate . ( See below . ) zscale ( float ) : How much to scale the z - axis by prior to calculati...
if type ( dem ) is not rdarray : raise Exception ( "A richdem.rdarray or numpy.ndarray is required!" ) terrain_attribs = { # " spi " : _ richdem . TA _ SPI , # " cti " : _ richdem . TA _ CTI , "slope_riserun" : _richdem . TA_slope_riserun , "slope_percentage" : _richdem . TA_slope_percentage , "slope_degrees" : _ri...
def _table_cell ( args , cell_body ) : """Implements the BigQuery table magic subcommand used to operate on tables The supported syntax is : % % bq tables < command > < args > Commands : { list , create , delete , describe , view } Args : args : the optional arguments following ' % % bq tables command '...
if args [ 'command' ] == 'list' : filter_ = args [ 'filter' ] if args [ 'filter' ] else '*' if args [ 'dataset' ] : if args [ 'project' ] is None : datasets = [ bigquery . Dataset ( args [ 'dataset' ] ) ] else : context = google . datalab . Context ( args [ 'project' ] , ...
def render_serialization ( self , context , result ) : """Render serialized responses ."""
resp = context . response serial = context . serialize match = context . request . accept . best_match ( serial . types , default_match = self . default ) result = serial [ match ] ( result ) if isinstance ( result , str ) : result = result . decode ( 'utf-8' ) resp . charset = 'utf-8' resp . content_type = match r...
def get_resource_tag_map ( self , r_type , ids ) : """Returns a mapping of { resource _ id : { tagkey : tagvalue } }"""
manager = self . manager . get_resource_manager ( r_type ) r_id = manager . resource_type . id # TODO only fetch resource with the given ids . return { r [ r_id ] : { t [ 'Key' ] : t [ 'Value' ] for t in r . get ( 'Tags' , [ ] ) } for r in manager . resources ( ) if r [ r_id ] in ids }
def write ( self , data ) : """Send * n * bytes to socket . Args : data ( bytes ) : The data to send . Raises : EOFError : If the socket was closed ."""
while data : try : n = self . _socket . send ( data ) except socket . error : n = None if not n : raise EOFError ( 'Socket closed' ) data = data [ n : ]
def drop_duplicates ( self , keep = 'first' , inplace = False ) : """Return Series with duplicate values removed . Parameters keep : { ' first ' , ' last ' , ` ` False ` ` } , default ' first ' - ' first ' : Drop duplicates except for the first occurrence . - ' last ' : Drop duplicates except for the last o...
return super ( ) . drop_duplicates ( keep = keep , inplace = inplace )
def _remove_app_models ( all_apps , models_to_remove ) : """Remove the model specs in models _ to _ remove from the models specs in the apps in all _ apps . If an app has no models left , don ' t include it in the output . This has the side - effect that the app view e . g . / admin / app / may not be acces...
filtered_apps = [ ] for app in all_apps : models = [ x for x in app [ 'models' ] if x not in models_to_remove ] if models : app [ 'models' ] = models filtered_apps . append ( app ) return filtered_apps
def recover_cfg ( self , start = None , end = None , symbols = None , callback = None , arch_mode = None ) : """Recover CFG . Args : start ( int ) : Start address . end ( int ) : End address . symbols ( dict ) : Symbol table . callback ( function ) : A callback function which is called after each successf...
# Set architecture in case it wasn ' t already set . if arch_mode is None : arch_mode = self . binary . architecture_mode # Reload modules . self . _load ( arch_mode = arch_mode ) # Check start address . start = start if start else self . binary . entry_point cfg , _ = self . _recover_cfg ( start = start , end = en...
def path_for ( self , * args ) : """Path containing _ root _ path"""
if args and args [ 0 ] . startswith ( os . path . sep ) : return os . path . join ( * args ) return os . path . join ( self . _root_path or os . getcwd ( ) , * args )
def from_sql ( cls , conn , sql_statement , params = None , type_inference_rows = 100 , dbapi_module = None , column_type_hints = None , cursor_arraysize = 128 ) : """Convert the result of a SQL database query to an SFrame . Parameters conn : dbapi2 . Connection A DBAPI2 connection object . Any connection obj...
# Mapping types is always the trickiest part about reading from a # database , so the main complexity of this function concerns types . # Much of the heavy - lifting of this is done by the DBAPI2 module , which # holds the burden of the actual mapping from the database - specific # type to a suitable Python type . The ...
def beacon ( config ) : '''Return status for requested information'''
log . debug ( config ) ctime = datetime . datetime . utcnow ( ) . isoformat ( ) if not config : config = [ { 'loadavg' : [ 'all' ] , 'cpustats' : [ 'all' ] , 'meminfo' : [ 'all' ] , 'vmstats' : [ 'all' ] , 'time' : [ 'all' ] , } ] if not isinstance ( config , list ) : # To support the old dictionary config format ...
def _ConvertDictToObject ( self , json_dict ) : """Converts a JSON dict into a path specification object . The dictionary of the JSON serialized objects consists of : ' _ _ type _ _ ' : ' PathSpec ' ' type _ indicator ' : ' OS ' ' parent ' : { . . . } Here ' _ _ type _ _ ' indicates the object base type i...
# Use _ _ type _ _ to indicate the object class type . class_type = json_dict . get ( '__type__' , None ) if class_type not in self . _CLASS_TYPES : raise TypeError ( 'Missing path specification object type.' ) # Remove the class type from the JSON dict since we cannot pass it . del json_dict [ '__type__' ] type_in...
def toggle ( self , discord_token , discord_client_id ) : """Toggles Modis on or off"""
if self . state == 'off' : self . start ( discord_token , discord_client_id ) elif self . state == 'on' : self . stop ( )
def fetch ( dataset , annot , cat = ( 0 , 0 , 0 , 0 ) , evt_type = None , stage = None , cycle = None , chan_full = None , epoch = None , epoch_dur = 30 , epoch_overlap = 0 , epoch_step = None , reject_epoch = False , reject_artf = False , min_dur = 0 , buffer = 0 ) : """Create instance of Segments for analysis , c...
bundles = get_times ( annot , evt_type = evt_type , stage = stage , cycle = cycle , chan = chan_full , exclude = reject_epoch , buffer = buffer ) # Remove artefacts if reject_artf and bundles : for bund in bundles : bund [ 'times' ] = remove_artf_evts ( bund [ 'times' ] , annot , bund [ 'chan' ] , min_dur =...
def get_template_loader_for_path ( path , use_cache = True ) : '''Convenience method that calls get _ template _ loader _ for _ path ( ) on the DMP template engine instance .'''
dmp = apps . get_app_config ( 'django_mako_plus' ) return dmp . engine . get_template_loader_for_path ( path , use_cache )
def create_leads_list ( self , name , team_id = None ) : """Create a leads list . : param name : Name of the list to create . Must be defined . : param team _ id : The id of the list to share this list with . : return : The created leads list as a dict ."""
params = self . base_params payload = { 'name' : name } if team_id : payload [ 'team_id' ] = team_id endpoint = self . base_endpoint . format ( 'leads_lists' ) return self . _query_hunter ( endpoint , params , 'post' , payload )
def regenerate_prefixes ( self , * args ) : """Regenerate the cache of command prefixes based on nick etc ."""
nick = self . controller . client . user . nick self . prefixes = set ( [ nick + ": " , nick + ", " , nick + " - " , ] ) # Include lower - case versions as well , but not caps self . prefixes . update ( [ p . lower ( ) for p in self . prefixes ] ) if self . sigil : self . prefixes . add ( self . sigil )
def _get_log_model_class ( self ) : """Cache for fetching the actual log model object once django is loaded . Otherwise , import conflict occur : WorkflowEnabled imports < log _ model > which tries to import all models to retrieve the proper model class ."""
if self . log_model_class is not None : return self . log_model_class app_label , model_label = self . log_model . rsplit ( '.' , 1 ) self . log_model_class = apps . get_model ( app_label , model_label ) return self . log_model_class
def order_derived_variables ( regime ) : """Finds ordering of derived _ variables . @ param regime : Dynamics Regime containing derived variables . @ type regime : lems . model . dynamics . regime @ return : Returns ordered list of derived variables . @ rtype : list ( string ) @ raise SimBuildError : Rais...
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 : dvsnoexp . a...
def rename_get_variable ( mapping ) : """Args : mapping ( dict ) : an old - > new mapping for variable basename . e . g . { ' kernel ' : ' W ' } Returns : A context where the variables are renamed ."""
def custom_getter ( getter , name , * args , ** kwargs ) : splits = name . split ( '/' ) basename = splits [ - 1 ] if basename in mapping : basename = mapping [ basename ] splits [ - 1 ] = basename name = '/' . join ( splits ) return getter ( name , * args , ** kwargs ) return cu...
def content ( ) : """Helper method that returns just the content . This method was added so that the text could be reused in the other contexts . . . versionadded : : 3.2.2 : returns : A message object without brand element . : rtype : safe . messaging . message . Message"""
message = m . Message ( ) paragraph = m . Paragraph ( m . Image ( 'file:///%s/img/screenshots/' 'batch-calculator-screenshot.png' % resources_path ( ) ) , style_class = 'text-center' ) message . add ( paragraph ) message . add ( m . Paragraph ( tr ( 'With this tool you can set up numerous scenarios and run them all in ...
def data ( self , table_name , metadata , persist_as = None , how = 'the_geom' ) : """Get an augmented CARTO dataset with ` Data Observatory < https : / / carto . com / data - observatory > ` _ _ measures . Use ` CartoContext . data _ discovery < # context . CartoContext . data _ discovery > ` _ _ to search f...
# if how ! = ' the _ geom ' : # raise NotImplementedError ( ' Data gathering currently only works if ' # ' a geometry is present ' ) if isinstance ( metadata , pd . DataFrame ) : _meta = metadata . copy ( ) . reset_index ( ) elif isinstance ( metadata , collections . Iterable ) : query = utils . minify_sql ( ( ...
def run_cmd_unit ( self , sentry_unit , cmd ) : """Run a command on a unit , return the output and exit code ."""
output , code = sentry_unit . run ( cmd ) if code == 0 : self . log . debug ( '{} `{}` command returned {} ' '(OK)' . format ( sentry_unit . info [ 'unit_name' ] , cmd , code ) ) else : msg = ( '{} `{}` command returned {} ' '{}' . format ( sentry_unit . info [ 'unit_name' ] , cmd , code , output ) ) amulet...
def get_type ( type_ ) : """Gets the declaration for the corresponding custom type . @ raise KeyError : Unknown type . @ see : L { add _ type } and L { remove _ type }"""
if isinstance ( type_ , list ) : type_ = tuple ( type_ ) for k , v in TYPE_MAP . iteritems ( ) : if k == type_ : return v raise KeyError ( "Unknown type %r" % ( type_ , ) )
def W_min_HS_ratio ( self ) : """Calculate the minimum flocculator channel width , given the minimum ratio between expansion height ( H ) and baffle spacing ( S ) . : returns : Minimum channel width given H _ e / S : rtype : float * centimeter"""
return ( ( self . HS_RATIO_MIN * self . Q / self . downstream_H ) * ( self . BAFFLE_K / ( 2 * self . downstream_H * pc . viscosity_kinematic ( self . temp ) * self . vel_grad_avg ** 2 ) ) ** ( 1 / 3 ) ) . to ( u . cm )
def help_center_user_segment_topics ( self , user_segment_id , ** kwargs ) : "https : / / developer . zendesk . com / rest _ api / docs / help _ center / user _ segments # list - topics - using - a - user - segment"
api_path = "/api/v2/help_center/user_segments/{user_segment_id}/topics.json" api_path = api_path . format ( user_segment_id = user_segment_id ) return self . call ( api_path , ** kwargs )
def build_depenses_homogenisees ( temporary_store = None , year = None ) : """Build menage consumption by categorie fiscale dataframe"""
assert temporary_store is not None assert year is not None bdf_survey_collection = SurveyCollection . load ( collection = 'budget_des_familles' , config_files_directory = config_files_directory ) survey = bdf_survey_collection . get_survey ( 'budget_des_familles_{}' . format ( year ) ) # Homogénéisation des bases de ...
def get_node ( self ) : """return etree Element representing this slide"""
# already added title , text frames # add animation chunks if self . animations : anim_par = el ( "anim:par" , attrib = { "presentation:node-type" : "timing-root" } ) self . _page . append ( anim_par ) anim_seq = sub_el ( anim_par , "anim:seq" , attrib = { "presentation:node-type" : "main-sequence" } ) ...
def render ( self , context , instance , placeholder ) : """Update the context with plugin ' s data"""
entries = Entry . published . search ( instance . query ) if instance . number_of_entries : entries = entries [ : instance . number_of_entries ] context = super ( CMSQueryEntriesPlugin , self ) . render ( context , instance , placeholder ) context [ 'entries' ] = entries return context
def list_service ( ctx , name ) : """Retrieve accounts pertaining to named service ."""
swag = create_swag_from_ctx ( ctx ) accounts = swag . get_service_enabled ( name ) _table = [ [ result [ 'name' ] , result . get ( 'id' ) ] for result in accounts ] click . echo ( tabulate ( _table , headers = [ "Account Name" , "Account Number" ] ) )
def split_six ( series = None ) : """Given a Pandas Series , get a domain of values from zero to the 90 % quantile rounded to the nearest order - of - magnitude integer . For example , 2100 is rounded to 2000 , 2790 to 3000. Parameters series : Pandas series , default None Returns list"""
if pd is None : raise ImportError ( 'The Pandas package is required' ' for this functionality' ) if np is None : raise ImportError ( 'The NumPy package is required' ' for this functionality' ) def base ( x ) : if x > 0 : base = pow ( 10 , math . floor ( math . log10 ( x ) ) ) return round ( ...
def network ( ip , netmask , gateway ) : '''Ensure the DRAC network settings are consistent'''
ret = { 'name' : ip , 'result' : True , 'changes' : { } , 'comment' : '' } current_network = __salt__ [ 'drac.network_info' ] ( ) new_network = { } if ip != current_network [ 'IPv4 settings' ] [ 'IP Address' ] : ret [ 'changes' ] . update ( { 'IP Address' : { 'Old' : current_network [ 'IPv4 settings' ] [ 'IP Addres...
def bullet_base_pose_to_world_pose ( self , pose_in_base ) : """Convert a pose in the base frame to a pose in the world frame . Args : pose _ in _ base : a ( pos , orn ) tuple . Returns : pose _ in world : a ( pos , orn ) tuple ."""
pose_in_base = T . pose2mat ( pose_in_base ) base_pos_in_world = np . array ( p . getBasePositionAndOrientation ( self . ik_robot ) [ 0 ] ) base_orn_in_world = np . array ( p . getBasePositionAndOrientation ( self . ik_robot ) [ 1 ] ) base_pose_in_world = T . pose2mat ( ( base_pos_in_world , base_orn_in_world ) ) pose_...
def assign_address ( self , ip_address , instance_id ) : '''a method to assign ( or reassign ) an elastic ip to an instance on AWS : param ip _ address : string with elastic ipv4 address on ec2 : param instance _ id : string with aws id for running instance : return : dictioanry with response metadata fields'...
title = '%s.assign_address' % self . __class__ . __name__ # validate inputs input_fields = { 'ip_address' : ip_address , 'instance_id' : instance_id } for key , value in input_fields . items ( ) : object_title = '%s(%s=%s)' % ( title , key , str ( value ) ) self . fields . validate ( value , '.%s' % key , objec...
def _check_enum ( parameter_name , value , parameter_config ) : """Checks if an enum value is valid . This is called by the transform _ parameter _ value function and shouldn ' t be called directly . This verifies that the value of an enum parameter is valid . Args : parameter _ name : A string containing...
enum_values = [ enum [ 'backendValue' ] for enum in parameter_config [ 'enum' ] . values ( ) if 'backendValue' in enum ] if value not in enum_values : raise errors . EnumRejectionError ( parameter_name , value , enum_values )
def _process_model_dict ( self , d ) : """Remove redundant items from a model ' s configuration dict . Parameters d : dict Modified in place . Returns dict Modified ` d ` ."""
del d [ 'model_type' ] del d [ 'sample_size' ] del d [ 'probability_mode' ] del d [ 'choice_mode' ] del d [ 'choosers_fit_filters' ] del d [ 'choosers_predict_filters' ] del d [ 'alts_fit_filters' ] del d [ 'alts_predict_filters' ] del d [ 'interaction_predict_filters' ] del d [ 'estimation_sample_size' ] del d [ 'pred...
def make_sgf ( move_history , result_string , ruleset = "Chinese" , komi = 7.5 , white_name = PROGRAM_IDENTIFIER , black_name = PROGRAM_IDENTIFIER , comments = [ ] ) : """Turn a game into SGF . Doesn ' t handle handicap games or positions with incomplete history . Args : move _ history : iterable of PlayerMov...
boardsize = go . N game_moves = '' . join ( translate_sgf_move ( * z ) for z in itertools . zip_longest ( move_history , comments ) ) result = result_string return SGF_TEMPLATE . format ( ** locals ( ) )
def swd_write ( self , output , value , nbits ) : """Writes bytes over SWD ( Serial Wire Debug ) . Args : self ( JLink ) : the ` ` JLink ` ` instance output ( int ) : the output buffer offset to write to value ( int ) : the value to write to the output buffer nbits ( int ) : the number of bits needed to r...
pDir = binpacker . pack ( output , nbits ) pIn = binpacker . pack ( value , nbits ) bitpos = self . _dll . JLINK_SWD_StoreRaw ( pDir , pIn , nbits ) if bitpos < 0 : raise errors . JLinkException ( bitpos ) return bitpos
def parse_readme ( ) : """Parse contents of the README ."""
# Get the long description from the relevant file readme_file = str ( Path ( __file__ ) . parent / 'README.rst' ) with codecs . open ( readme_file , encoding = 'utf-8' ) as handle : long_description = handle . read ( ) return long_description
def set_sync_limit ( self , limit : int ) -> Optional [ int ] : """Sets the events limit per room for sync and return previous limit"""
try : prev_limit = json . loads ( self . sync_filter ) [ 'room' ] [ 'timeline' ] [ 'limit' ] except ( json . JSONDecodeError , KeyError ) : prev_limit = None self . sync_filter = json . dumps ( { 'room' : { 'timeline' : { 'limit' : limit } } } ) return prev_limit
def convert_file ( filename , renderer ) : """Parse a Markdown file and dump the output to stdout ."""
try : with open ( filename , 'r' ) as fin : rendered = mistletoe . markdown ( fin , renderer ) print ( rendered , end = '' ) except OSError : sys . exit ( 'Cannot open file "{}".' . format ( filename ) )
def find_files ( self ) : """Find versioned files in self . location"""
all_files = self . _invoke ( 'locate' , '-I' , '.' ) . splitlines ( ) # now we have a list of all files in self . location relative to # self . find _ root ( ) # Remove the parent dirs from them . from_root = os . path . relpath ( self . location , self . find_root ( ) ) loc_rel_paths = [ os . path . relpath ( path , f...
def get_history ( self ) : """Get history of applied upgrades ."""
self . load_history ( ) return map ( lambda x : ( x , self . history [ x ] ) , self . ordered_history )
def acquire ( lock , blocking = True ) : """Acquire a lock , possibly in a non - blocking fashion . Includes backwards compatibility hacks for old versions of Python , dask and dask - distributed ."""
if blocking : # no arguments needed return lock . acquire ( ) elif DistributedLock is not None and isinstance ( lock , DistributedLock ) : # distributed . Lock doesn ' t support the blocking argument yet : # https : / / github . com / dask / distributed / pull / 2412 return lock . acquire ( timeout = 0 ) else :...
def write_adj_list ( self , path : str ) -> None : """Write the network as an adjacency list to a file . : param path : File path to write the adjacency list ."""
adj_list = self . get_adjlist ( ) with open ( path , mode = "w" ) as file : for i , line in enumerate ( adj_list ) : print ( i , * line , file = file )
def crypto_hash_sha256 ( message ) : """Hashes and returns the message ` ` message ` ` . : param message : bytes : rtype : bytes"""
digest = ffi . new ( "unsigned char[]" , crypto_hash_sha256_BYTES ) rc = lib . crypto_hash_sha256 ( digest , message , len ( message ) ) ensure ( rc == 0 , 'Unexpected library error' , raising = exc . RuntimeError ) return ffi . buffer ( digest , crypto_hash_sha256_BYTES ) [ : ]
def tags_with_text ( xml , tags = None ) : """Return a list of tags that contain text retrieved recursively from an XML tree ."""
if tags is None : tags = [ ] for element in xml : if element . text is not None : tags . append ( element ) elif len ( element ) > 0 : # pylint : disable = len - as - condition tags_with_text ( element , tags ) else : message = 'Unknown XML structure: {}' . format ( element ) ...
def query_rates ( self , pairs = [ ] ) : '''Perform a request against truefx data'''
# If no pairs , TrueFx will use the ones given the last time payload = { 'id' : self . _session } if pairs : payload [ 'c' ] = _clean_pairs ( pairs ) response = requests . get ( self . _api_url , params = payload ) mapped_data = _fx_mapping ( response . content . split ( '\n' ) [ : - 2 ] ) return Series ( mapped_da...
def _subtoken_ids_to_tokens ( self , subtokens ) : """Converts a list of subtoken ids to a list of tokens . Args : subtokens : a list of integers in the range [ 0 , vocab _ size ) Returns : a list of strings ."""
concatenated = "" . join ( [ self . _subtoken_id_to_subtoken_string ( s ) for s in subtokens ] ) split = concatenated . split ( "_" ) ret = [ ] for t in split : if t : unescaped = _unescape_token ( t + "_" ) if unescaped : ret . append ( unescaped ) return ret
def list_configs ( ) : '''List all available configs CLI example : . . code - block : : bash salt ' * ' snapper . list _ configs'''
try : configs = snapper . ListConfigs ( ) return dict ( ( config [ 0 ] , config [ 2 ] ) for config in configs ) except dbus . DBusException as exc : raise CommandExecutionError ( 'Error encountered while listing configurations: {0}' . format ( _dbus_exception_to_reason ( exc , locals ( ) ) ) )
def find_seq_homologues ( self , return_raw = False ) : """Uses NCBI BLAST to look for structures deposited in the PDB database that share _ _ sequence _ _ homology with the target protein / chain . Bridges to Bio . BLAST . NCBIWWW ."""
# Get sequence from structure / chain # We could use Bio . PDB . Polypeptide ? from Bio . SCOP . Raf import to_one_letter_code s = self seq_iter = s . get_residues ( ) seq_str = '' for aa in seq_iter : if aa . resname in to_one_letter_code : seq_str += to_one_letter_code [ aa . resname ] # Use BLAST to find...
def request_raw_reverse ( self , req , msg ) : """A raw request handler to demonstrate the calling convention if @ request decoraters are not used . Reverses the message arguments ."""
# msg is a katcp . Message . request object reversed_args = msg . arguments [ : : - 1 ] # req . make _ reply ( ) makes a katcp . Message . reply using the correct request # name and message ID return req . make_reply ( * reversed_args )
def get_scanner_param_default ( self , param ) : """Returns default value of a scanner parameter ."""
assert isinstance ( param , str ) entry = self . scanner_params . get ( param ) if not entry : return None return entry . get ( 'default' )
def to_text ( self ) : """Render a Text MessageElement as plain text Args : None Returns : Str the plain text representation of the Text MessageElement Raises : Errors are propagated"""
if self . items is None : return else : text = '' for i , item in enumerate ( self . items ) : text += ' %s. %s\n' % ( i + 1 , item . to_text ( ) ) return text
def macs ( nasv , T ) : '''Returns MACS [ mb ] at T [ K ] from Na * < sigma v > .'''
Na = avogadro_constant k = boltzmann_constant vtherm = ( 2. * k * T / mass_H_atom ) ** 0.5 s = old_div ( nasv , ( vtherm * Na ) ) macs = s * 1.e27 return macs
def get_intersection ( self , division ) : """Get intersection percentage of intersecting divisions ."""
try : return IntersectRelationship . objects . get ( from_division = self , to_division = division ) . intersection except ObjectDoesNotExist : raise Exception ( "No intersecting relationship with that division." )
def _check_convergence ( self , F ) : """Checks if the solution has converged to within the specified tolerance ."""
normF = linalg . norm ( F , Inf ) if normF < self . tolerance : converged = True else : converged = False if self . verbose : logger . info ( "Difference: %.3f" % ( normF - self . tolerance ) ) return converged
def space_time_cluster ( catalog , t_thresh , d_thresh ) : """Cluster detections in space and time . Use to separate repeaters from other events . Clusters by distance first , then removes events in those groups that are at different times . : type catalog : obspy . core . event . Catalog : param catalog : ...
initial_spatial_groups = space_cluster ( catalog = catalog , d_thresh = d_thresh , show = False ) # Need initial _ spatial _ groups to be lists at the moment initial_spatial_lists = [ ] for group in initial_spatial_groups : initial_spatial_lists . append ( list ( group ) ) # Check within these groups and throw them...
def min_interval ( self , name , alpha = _alpha , ** kwargs ) : """Calculate minimum interval for parameter ."""
data = self . get ( name , ** kwargs ) return min_interval ( data , alpha )
def _safe_reshape ( arr , new_shape ) : """If possible , reshape ` arr ` to have shape ` new _ shape ` , with a couple of exceptions ( see gh - 13012 ) : 1 ) If ` arr ` is a ExtensionArray or Index , ` arr ` will be returned as is . 2 ) If ` arr ` is a Series , the ` _ values ` attribute will be reshaped ...
if isinstance ( arr , ABCSeries ) : arr = arr . _values if not isinstance ( arr , ABCExtensionArray ) : arr = arr . reshape ( new_shape ) return arr
def img2img_transformer_base_tpu ( ) : """Hparams for training img2img _ transformer on tpu ."""
hparams = img2img_transformer_base ( ) update_hparams_for_tpu ( hparams ) hparams . batch_size = 2 hparams . num_heads = 4 # heads are expensive on tpu hparams . num_decoder_layers = 8 hparams . num_encoder_layers = 4 hparams . shared_embedding_and_softmax_weights = False return hparams
def main ( argv = None ) : """Entry point for the ` simpl ` command ."""
# ` simpl server ` logging . basicConfig ( level = logging . INFO ) server_func = functools . partial ( server . main , argv = argv ) server_parser = server . attach_parser ( default_subparser ( ) ) server_parser . set_defaults ( _func = server_func ) # the following code shouldn ' t need to change when # we add a new ...
def proxies ( self , url ) : """Get the transport proxy configuration : param url : string : return : Proxy configuration dictionary : rtype : Dictionary"""
netloc = urllib . parse . urlparse ( url ) . netloc proxies = { } if settings . PROXIES and settings . PROXIES . get ( netloc ) : proxies [ "http" ] = settings . PROXIES [ netloc ] proxies [ "https" ] = settings . PROXIES [ netloc ] elif settings . PROXY_URL : proxies [ "http" ] = settings . PROXY_URL p...
def parse_output ( self , s ) : '''Example output : AVR Memory Usage Device : atmega2561 Program : 4168 bytes ( 1.6 % Full ) ( . text + . data + . bootloader ) Data : 72 bytes ( 0.9 % Full ) ( . data + . bss + . noinit )'''
for x in s . splitlines ( ) : if '%' in x : name = x . split ( ':' ) [ 0 ] . strip ( ) . lower ( ) nbytes = x . split ( ':' ) [ 1 ] . split ( 'b' ) [ 0 ] . strip ( ) nbytes = int ( nbytes ) perc = x . split ( '(' ) [ 1 ] . split ( '%' ) [ 0 ] . strip ( ) perc = float ( perc )...
def quast_table ( self ) : """Write some more statistics about the assemblies in a table ."""
headers = OrderedDict ( ) headers [ 'N50' ] = { 'title' : 'N50 ({})' . format ( self . contig_length_suffix ) , 'description' : 'N50 is the contig length such that using longer or equal length contigs produces half (50%) of the bases of the assembly.' , 'min' : 0 , 'suffix' : self . contig_length_suffix , 'scale' : 'Rd...
def find_widget ( self , name ) : """Look for a widget with a specified name . : param name : The name to search for . : returns : The widget that matches or None if one couldn ' t be found ."""
result = None for column in self . _columns : for widget in column : if widget . name is not None and name == widget . name : result = widget break return result
def count_plus ( self , uid ) : '''Ajax request , that the view count will plus 1.'''
self . set_header ( "Content-Type" , "application/json" ) output = { # ToDo : Test the following codes . # MPost . _ _ update _ view _ count _ by _ uid ( uid ) else 0, 'status' : 1 if MPost . update_misc ( uid , count = 1 ) else 0 } # return json . dump ( output , self ) self . write ( json . dumps ( output ) )
def update ( self , body = values . unset , attributes = values . unset ) : """Update the MessageInstance : param unicode body : The new message body string . : param unicode attributes : The new attributes metadata field you can use to store any data you wish . : returns : Updated MessageInstance : rtype :...
data = values . of ( { 'Body' : body , 'Attributes' : attributes , } ) payload = self . _version . update ( 'POST' , self . _uri , data = data , ) return MessageInstance ( self . _version , payload , service_sid = self . _solution [ 'service_sid' ] , channel_sid = self . _solution [ 'channel_sid' ] , sid = self . _solu...
def validateInterfaceName ( n ) : """Verifies that the supplied name is a valid DBus Interface name . Throws an L { error . MarshallingError } if the format is invalid @ type n : C { string } @ param n : A DBus interface name"""
try : if '.' not in n : raise Exception ( 'At least two components required' ) if '..' in n : raise Exception ( '".." not allowed in interface names' ) if len ( n ) > 255 : raise Exception ( 'Name exceeds maximum length of 255' ) if n [ 0 ] == '.' : raise Exception ( 'Nam...
def list ( self , svc_rec = None , hostfilter = None , compromised = False ) : """List user accounts : param svc _ rec : db . t _ services . id : param hostfilter : : param compromised : Show only compromised accounts : return : [ acct . t _ accounts . f _ services _ id , acct . t _ hosts . f _ ipaddr , a...
return self . send . accounts_list ( svc_rec , hostfilter , compromised )
def as_series ( x ) : """Cast as pandas Series . Cast an iterable to a Pandas Series object . Note that the index will simply be a positional ` ` arange ` ` and cannot be set in this function . Parameters x : array - like , shape = ( n _ samples , ) The 1d array on which to compute the auto correlation ...
if isinstance ( x , pd . Series ) : return x return pd . Series ( column_or_1d ( x ) )
def ijk_jlk_to_il ( A , B ) : """Faster version of einsum einsum ( ' ijk , jlk - > il ' , A , B )"""
res = np . zeros ( ( A . shape [ 0 ] , B . shape [ 1 ] ) ) [ np . add ( np . dot ( A [ : , : , k ] , B [ : , : , k ] ) , res , out = res ) for k in range ( B . shape [ - 1 ] ) ] return res
def showTabMenu ( self , panel , point = None ) : """Creates the panel menu for this view widget . If no point is supplied , then the current cursor position will be used . : param panel | < XViewPanel > point | < QPoint > | | None"""
if not self . _tabMenu : self . _tabMenu = XViewTabMenu ( self ) if point is None : point = QtGui . QCursor . pos ( ) self . _tabMenu . setCurrentPanel ( panel ) self . _tabMenu . exec_ ( point )
def at ( * args , ** kwargs ) : # pylint : disable = C0103 '''Add a job to the queue . The ' timespec ' follows the format documented in the at ( 1 ) manpage . CLI Example : . . code - block : : bash salt ' * ' at . at < timespec > < cmd > [ tag = < tag > ] [ runas = < user > ] salt ' * ' at . at 12:05a...
# check args if len ( args ) < 2 : return { 'jobs' : [ ] } # build job if 'tag' in kwargs : stdin = '### SALT: {0}\n{1}' . format ( kwargs [ 'tag' ] , ' ' . join ( args [ 1 : ] ) ) else : stdin = ' ' . join ( args [ 1 : ] ) cmd_kwargs = { 'stdin' : stdin , 'python_shell' : False } if 'runas' in kwargs : ...
def register_device ( ctx , device , model , nickname , client_type ) : """Registers a device instance under an existing device model . Device instance fields must start with a letter or number . The device ID can only contain letters , numbers , and the following symbols : period ( . ) , hyphen ( - ) , under...
session , api_url , project_id = build_client_from_context ( ctx ) device_base_url = '/' . join ( [ api_url , 'devices' ] ) device_url = '/' . join ( [ device_base_url , device ] ) payload = { 'id' : device , 'model_id' : model , } if client_type : payload [ 'client_type' ] = 'SDK_' + client_type if nickname : ...
def step ( self , state , clamping ) : """Performs a simulation step from the given state and with respect to the given clamping Parameters state : dict The key - value mapping describing the current state of the logical network clamping : caspo . core . clamping . Clamping A clamping over variables in th...
ns = state . copy ( ) for var in state : if clamping . has_variable ( var ) : ns [ var ] = int ( clamping . bool ( var ) ) else : or_value = 0 for clause , _ in self . in_edges_iter ( var ) : or_value = or_value or clause . bool ( state ) if or_value : ...
def export_metrics ( self , metrics ) : """Exports given metrics to target metric service ."""
metric_protos = [ ] for metric in metrics : metric_protos . append ( _get_metric_proto ( metric ) ) self . _rpc_handler . send ( metrics_service_pb2 . ExportMetricsServiceRequest ( metrics = metric_protos ) )
def prepare_params ( modeline , fileconfig , options ) : """Prepare and merge a params from modelines and configs . : return dict :"""
params = dict ( skip = False , ignore = [ ] , select = [ ] , linters = [ ] ) if options : params [ 'ignore' ] = list ( options . ignore ) params [ 'select' ] = list ( options . select ) for config in filter ( None , [ modeline , fileconfig ] ) : for key in ( 'ignore' , 'select' , 'linters' ) : param...
def info ( ctx , objects ) : """Obtain all kinds of information"""
if not objects : t = [ [ "Key" , "Value" ] ] info = ctx . bitshares . rpc . get_dynamic_global_properties ( ) for key in info : t . append ( [ key , info [ key ] ] ) print_table ( t ) for obj in objects : # Block if re . match ( "^[0-9]*$" , obj ) : block = Block ( obj , lazy = False...
def add_resource ( self , filename ) : """Add a file as a resource . In Sacred terminology a resource is a file that the experiment needed to access during a run . In case of a MongoObserver that means making sure the file is stored in the database ( but avoiding duplicates ) along its path and md5 sum . ...
filename = os . path . abspath ( filename ) self . _emit_resource_added ( filename )
def update_optimiser ( context , * args , ** kwargs ) -> None : """Writes optimiser state into corresponding TensorFlow variables . This may need to be done for optimisers like ScipyOptimiser that work with their own copies of the variables . Normally the source variables would be updated only when the optimise...
if context . optimiser is None or context . optimiser_updated : return if isinstance ( context . optimiser , ScipyOptimizer ) and len ( args ) > 0 : optimizer = context . optimiser . optimizer # get access to ExternalOptimizerInterface var_vals = [ args [ 0 ] [ packing_slice ] for packing_slice in optim...
def _getField ( self , field , native = 0 , prompt = 1 ) : """Get a parameter field value"""
try : # expand field name using minimum match field = _getFieldDict [ field ] except KeyError as e : # re - raise the exception with a bit more info raise SyntaxError ( "Cannot get field " + field + " for parameter " + self . name + "\n" + str ( e ) ) if field == "p_value" : # return value of parameter # Note t...
def edit ( self , ** kwargs ) : """Modify this calendar event . : calls : ` PUT / api / v1 / calendar _ events / : id < https : / / canvas . instructure . com / doc / api / calendar _ events . html # method . calendar _ events _ api . update > ` _ : rtype : : class : ` canvasapi . calendar _ event . CalendarEve...
response = self . _requester . request ( 'PUT' , 'calendar_events/{}' . format ( self . id ) , _kwargs = combine_kwargs ( ** kwargs ) ) if 'title' in response . json ( ) : super ( CalendarEvent , self ) . set_attributes ( response . json ( ) ) return CalendarEvent ( self . _requester , response . json ( ) )
def _recv_return ( self , method_frame ) : '''Handle basic . return method . If we have a complete message , will call the user ' s return listener callabck ( if any ) . If there are not enough frames , will re - queue current frames and raise a FrameUnderflow NOTE : if the channel was in confirmation mode wh...
msg = self . _read_returned_msg ( method_frame ) if callable ( self . _return_listener ) : self . _return_listener ( msg ) else : self . logger . error ( "Published message returned by broker: info=%s, properties=%s" , msg . return_info , msg . properties )
def calculeToday ( self ) : """Calcule the intervals from the last date ."""
self . __logger . debug ( "Add today" ) last = datetime . datetime . strptime ( self . __lastDay , "%Y-%m-%d" ) today = datetime . datetime . now ( ) . date ( ) self . __validInterval ( last , today )
def dim_extent_size ( self , * args , ** kwargs ) : """Returns extent sizes of the dimensions in args . . . code - block : : python ts , bs , cs = cube . dim _ extent _ size ( ' ntime ' , ' nbl ' , ' nchan ' ) or . . code - block : : python ts , bs , cs , ss = cube . dim _ extent _ size ( ' ntime , nbl : ...
extents = self . dim_extents ( * args , ** kwargs ) # Handle tuples and sequences differently if isinstance ( extents , tuple ) : return extents [ 1 ] - extents [ 0 ] else : # isinstance ( extents , collections . Sequence ) : return ( u - l for l , u in extents )