idx int64 0 251k | question stringlengths 53 3.53k | target stringlengths 5 1.23k | len_question int64 20 893 | len_target int64 3 238 |
|---|---|---|---|---|
249,500 | def _playlist_format_changed ( self ) : new_format = False for n in self . stations : if n [ 2 ] != '' : new_format = True break if self . new_format == new_format : return False else : return True | Check if we have new or old format and report if format has changed | 55 | 14 |
249,501 | def save_playlist_file ( self , stationFile = '' ) : if self . _playlist_format_changed ( ) : self . dirty_playlist = True self . new_format = not self . new_format if stationFile : st_file = stationFile else : st_file = self . stations_file if not self . dirty_playlist : if logger . isEnabledFor ( logging . DEBUG ) : ... | Save a playlist Create a txt file and write stations in it . Then rename it to final target | 365 | 20 |
249,502 | def _bytes_to_human ( self , B ) : KB = float ( 1024 ) MB = float ( KB ** 2 ) # 1,048,576 GB = float ( KB ** 3 ) # 1,073,741,824 TB = float ( KB ** 4 ) # 1,099,511,627,776 if B < KB : return '{0} B' . format ( B ) B = float ( B ) if KB <= B < MB : return '{0:.2f} KB' . format ( B / KB ) elif MB <= B < GB : return '{0:.... | Return the given bytes as a human friendly KB MB GB or TB string | 195 | 14 |
249,503 | def append_station ( self , params , stationFile = '' ) : if self . new_format : if stationFile : st_file = stationFile else : st_file = self . stations_file st_file , ret = self . _get_playlist_abspath_from_data ( st_file ) if ret < - 1 : return ret try : with open ( st_file , 'a' ) as cfgfile : writter = csv . writer... | Append a station to csv file | 213 | 8 |
249,504 | def _check_config_file ( self , usr ) : package_config_file = path . join ( path . dirname ( __file__ ) , 'config' ) user_config_file = path . join ( usr , 'config' ) ''' restore config from bck file ''' if path . exists ( user_config_file + '.restore' ) : try : copyfile ( user_config_file + '.restore' , user_config_fi... | Make sure a config file exists in the config dir | 160 | 10 |
249,505 | def ctrl_c_handler ( self , signum , frame ) : self . ctrl_c_pressed = True if self . _cnf . dirty_playlist : """ Try to auto save playlist on exit Do not check result!!! """ self . saveCurrentPlaylist ( ) self . _cnf . save_config ( ) | Try to auto save config on exit Do not check result!!! | 71 | 12 |
249,506 | def _goto_playing_station ( self , changing_playlist = False ) : if ( self . player . isPlaying ( ) or self . operation_mode == PLAYLIST_MODE ) and ( self . selection != self . playing or changing_playlist ) : if changing_playlist : self . startPos = 0 max_lines = self . bodyMaxY - 2 if logger . isEnabledFor ( logging ... | make sure playing station is visible | 367 | 6 |
249,507 | def setStation ( self , number ) : # If we press up at the first station, we go to the last one # and if we press down on the last one we go back to the first one. if number < 0 : number = len ( self . stations ) - 1 elif number >= len ( self . stations ) : number = 0 self . selection = number maxDisplayedItems = self ... | Select the given station number | 138 | 5 |
249,508 | def _format_playlist_line ( self , lineNum , pad , station ) : line = "{0}. {1}" . format ( str ( lineNum + self . startPos + 1 ) . rjust ( pad ) , station [ 0 ] ) f_data = ' [{0}, {1}]' . format ( station [ 2 ] , station [ 1 ] ) if version_info < ( 3 , 0 ) : if len ( line . decode ( 'utf-8' , 'replace' ) ) + len ( f_d... | format playlist line so that if fills self . maxX | 590 | 11 |
249,509 | def _resize ( self , init = False ) : col , row = self . _selection_to_col_row ( self . selection ) if not ( self . startPos <= row <= self . startPos + self . list_maxY - 1 ) : while row > self . startPos : self . startPos += 1 while row < self . startPos + self . list_maxY - 1 : self . startPos -= 1 if init and row >... | if the selection at the end of the list try to scroll down | 182 | 13 |
249,510 | def _get_char ( self , win , char ) : def get_check_next_byte ( ) : char = win . getch ( ) if 128 <= char <= 191 : return char else : raise UnicodeError bytes = [ ] if char <= 127 : # 1 bytes bytes . append ( char ) #elif 194 <= char <= 223: elif 192 <= char <= 223 : # 2 bytes bytes . append ( char ) bytes . append ( g... | no zero byte allowed | 296 | 4 |
249,511 | def _get_history_next ( self ) : if self . _has_history : ret = self . _input_history . return_history ( 1 ) self . string = ret self . _curs_pos = len ( ret ) | callback function for key down | 51 | 5 |
249,512 | def apply_transformations ( collection , transformations , select = None ) : for t in transformations : kwargs = dict ( t ) func = kwargs . pop ( 'name' ) cols = kwargs . pop ( 'input' , None ) if isinstance ( func , string_types ) : if func in ( 'and' , 'or' ) : func += '_' if not hasattr ( transform , func ) : raise ... | Apply all transformations to the variables in the collection . | 148 | 10 |
249,513 | def setup ( self , steps = None , drop_na = False , * * kwargs ) : # In the beginning, there was nothing input_nodes = None # Use inputs from model, and update with kwargs selectors = self . model . get ( 'input' , { } ) . copy ( ) selectors . update ( kwargs ) for i , b in enumerate ( self . steps ) : # Skip any steps... | Set up the sequence of steps for analysis . | 155 | 9 |
249,514 | def setup ( self , input_nodes = None , drop_na = False , * * kwargs ) : self . output_nodes = [ ] input_nodes = input_nodes or self . input_nodes or [ ] # TODO: remove the scan_length argument entirely once we switch tests # to use the synthetic dataset with image headers. if self . level != 'run' : kwargs = kwargs . ... | Set up the Step and construct the design matrix . | 388 | 10 |
249,515 | def get_slice_info ( slice_times ) : # Slice order slice_times = remove_duplicates ( slice_times ) slice_order = sorted ( range ( len ( slice_times ) ) , key = lambda k : slice_times [ k ] ) if slice_order == range ( len ( slice_order ) ) : slice_order_name = 'sequential ascending' elif slice_order == reversed ( range ... | Extract slice order from slice timing info . | 234 | 9 |
249,516 | def get_sizestr ( img ) : n_x , n_y , n_slices = img . shape [ : 3 ] import numpy as np voxel_dims = np . array ( img . header . get_zooms ( ) [ : 3 ] ) matrix_size = '{0}x{1}' . format ( num_to_str ( n_x ) , num_to_str ( n_y ) ) voxel_size = 'x' . join ( [ num_to_str ( s ) for s in voxel_dims ] ) fov = [ n_x , n_y ] *... | Extract and reformat voxel size matrix size field of view and number of slices into pretty strings . | 200 | 22 |
249,517 | def add_config_paths ( * * kwargs ) : for k , path in kwargs . items ( ) : if not os . path . exists ( path ) : raise ValueError ( 'Configuration file "{}" does not exist' . format ( k ) ) if k in cf . get_option ( 'config_paths' ) : raise ValueError ( 'Configuration {!r} already exists' . format ( k ) ) kwargs . updat... | Add to the pool of available configuration files for BIDSLayout . | 133 | 15 |
249,518 | def add_derivatives ( self , path , * * kwargs ) : paths = listify ( path ) deriv_dirs = [ ] # Collect all paths that contain a dataset_description.json def check_for_description ( dir ) : dd = os . path . join ( dir , 'dataset_description.json' ) return os . path . exists ( dd ) for p in paths : p = os . path . abspat... | Add BIDS - Derivatives datasets to tracking . | 601 | 11 |
249,519 | def get_file ( self , filename , scope = 'all' ) : filename = os . path . abspath ( os . path . join ( self . root , filename ) ) layouts = self . _get_layouts_in_scope ( scope ) for ly in layouts : if filename in ly . files : return ly . files [ filename ] return None | Returns the BIDSFile object with the specified path . | 75 | 11 |
249,520 | def get_collections ( self , level , types = None , variables = None , merge = False , sampling_rate = None , skip_empty = False , * * kwargs ) : from bids . variables import load_variables index = load_variables ( self , types = types , levels = level , skip_empty = skip_empty , * * kwargs ) return index . get_collect... | Return one or more variable Collections in the BIDS project . | 103 | 12 |
249,521 | def get_metadata ( self , path , include_entities = False , * * kwargs ) : f = self . get_file ( path ) # For querying efficiency, store metadata in the MetadataIndex cache self . metadata_index . index_file ( f . path ) if include_entities : entities = f . entities results = entities else : results = { } results . upd... | Return metadata found in JSON sidecars for the specified file . | 100 | 12 |
249,522 | def get_bval ( self , path , * * kwargs ) : result = self . get_nearest ( path , extensions = 'bval' , suffix = 'dwi' , all_ = True , * * kwargs ) return listify ( result ) [ 0 ] | Get bval file for passed path . | 62 | 8 |
249,523 | def copy_files ( self , files = None , path_patterns = None , symbolic_links = True , root = None , conflicts = 'fail' , * * kwargs ) : _files = self . get ( return_type = 'objects' , * * kwargs ) if files : _files = list ( set ( files ) . intersection ( _files ) ) for f in _files : f . copy ( path_patterns , symbolic_... | Copies one or more BIDSFiles to new locations defined by each BIDSFile s entities and the specified path_patterns . | 114 | 27 |
249,524 | def index_file ( self , f , overwrite = False ) : if isinstance ( f , six . string_types ) : f = self . layout . get_file ( f ) if f . path in self . file_index and not overwrite : return if 'suffix' not in f . entities : # Skip files without suffixes return md = self . _get_metadata ( f . path ) for md_key , md_val in... | Index metadata for the specified file . | 163 | 7 |
249,525 | def search ( self , files = None , defined_fields = None , * * kwargs ) : if defined_fields is None : defined_fields = [ ] all_keys = set ( defined_fields ) | set ( kwargs . keys ( ) ) if not all_keys : raise ValueError ( "At least one field to search on must be passed." ) # If no list of files is passed, use all files... | Search files in the layout by metadata fields . | 364 | 9 |
249,526 | def auto_model ( layout , scan_length = None , one_vs_rest = False ) : base_name = split ( layout . root ) [ - 1 ] tasks = layout . entities [ 'task' ] . unique ( ) task_models = [ ] for task_name in tasks : # Populate model meta-data model = OrderedDict ( ) model [ "Name" ] = "_" . join ( [ base_name , task_name ] ) m... | Create a simple default model for each of the tasks in a BIDSLayout . Contrasts each trial type against all other trial types and trial types at the run level and then uses t - tests at each other level present to aggregate these results up . | 843 | 52 |
249,527 | def split ( self , grouper ) : data = self . to_df ( condition = True , entities = True ) data = data . drop ( 'condition' , axis = 1 ) subsets = [ ] for i , ( name , g ) in enumerate ( data . groupby ( grouper ) ) : name = '%s.%s' % ( self . name , name ) col = self . __class__ ( name = name , data = g , source = self... | Split the current SparseRunVariable into multiple columns . | 133 | 11 |
249,528 | def select_rows ( self , rows ) : self . values = self . values . iloc [ rows ] self . index = self . index . iloc [ rows , : ] for prop in self . _property_columns : vals = getattr ( self , prop ) [ rows ] setattr ( self , prop , vals ) | Truncate internal arrays to keep only the specified rows . | 72 | 12 |
249,529 | def split ( self , grouper ) : values = grouper . values * self . values . values df = pd . DataFrame ( values , columns = grouper . columns ) return [ DenseRunVariable ( name = '%s.%s' % ( self . name , name ) , values = df [ name ] . values , run_info = self . run_info , source = self . source , sampling_rate = self ... | Split the current DenseRunVariable into multiple columns . | 111 | 11 |
249,530 | def _build_entity_index ( self , run_info , sampling_rate ) : index = [ ] interval = int ( round ( 1000. / sampling_rate ) ) _timestamps = [ ] for run in run_info : reps = int ( math . ceil ( run . duration * sampling_rate ) ) ent_vals = list ( run . entities . values ( ) ) df = pd . DataFrame ( [ ent_vals ] * reps , c... | Build the entity index from run information . | 213 | 8 |
249,531 | def resample ( self , sampling_rate , inplace = False , kind = 'linear' ) : if not inplace : var = self . clone ( ) var . resample ( sampling_rate , True , kind ) return var if sampling_rate == self . sampling_rate : return old_sr = self . sampling_rate n = len ( self . index ) self . index = self . _build_entity_index... | Resample the Variable to the specified sampling rate . | 214 | 10 |
249,532 | def to_df ( self , condition = True , entities = True , timing = True , sampling_rate = None ) : if sampling_rate not in ( None , self . sampling_rate ) : return self . resample ( sampling_rate ) . to_df ( condition , entities ) df = super ( DenseRunVariable , self ) . to_df ( condition , entities ) if timing : df [ 'o... | Convert to a DataFrame with columns for name and entities . | 127 | 13 |
249,533 | def get_collections ( self , unit , names = None , merge = False , sampling_rate = None , * * entities ) : nodes = self . get_nodes ( unit , entities ) var_sets = [ ] for n in nodes : var_set = list ( n . variables . values ( ) ) var_set = [ v for v in var_set if v . matches_entities ( entities ) ] if names is not None... | Retrieve variable data for a specified level in the Dataset . | 269 | 14 |
249,534 | def get_or_create_node ( self , level , entities , * args , * * kwargs ) : result = self . get_nodes ( level , entities ) if result : if len ( result ) > 1 : raise ValueError ( "More than one matching Node found! If you're" " expecting more than one Node, use " "get_nodes() instead of get_or_create_node()." ) return re... | Retrieves a child Node based on the specified criteria creating a new Node if necessary . | 195 | 18 |
249,535 | def merge_collections ( collections , force_dense = False , sampling_rate = 'auto' ) : if len ( listify ( collections ) ) == 1 : return collections levels = set ( [ c . level for c in collections ] ) if len ( levels ) > 1 : raise ValueError ( "At the moment, it's only possible to merge " "Collections at the same level ... | Merge two or more collections at the same level of analysis . | 231 | 13 |
249,536 | def merge_variables ( variables , * * kwargs ) : var_dict = OrderedDict ( ) for v in variables : if v . name not in var_dict : var_dict [ v . name ] = [ ] var_dict [ v . name ] . append ( v ) return [ merge_variables ( vars_ , * * kwargs ) for vars_ in list ( var_dict . values ( ) ) ] | Concatenates Variables along row axis . | 97 | 10 |
249,537 | def to_df ( self , variables = None , format = 'wide' , fillna = np . nan , * * kwargs ) : if variables is None : variables = list ( self . variables . keys ( ) ) # Can receive already-selected Variables from sub-classes if not isinstance ( variables [ 0 ] , BIDSVariable ) : variables = [ v for v in self . variables . ... | Merge variables into a single pandas DataFrame . | 280 | 11 |
249,538 | def from_df ( cls , data , entities = None , source = 'contrast' ) : variables = [ ] for col in data . columns : _data = pd . DataFrame ( data [ col ] . values , columns = [ 'amplitude' ] ) if entities is not None : _data = pd . concat ( [ _data , entities ] , axis = 1 , sort = True ) variables . append ( SimpleVariabl... | Create a Collection from a pandas DataFrame . | 118 | 10 |
249,539 | def clone ( self ) : clone = copy ( self ) clone . variables = { k : v . clone ( ) for ( k , v ) in self . variables . items ( ) } return clone | Returns a shallow copy of the current instance except that all variables are deep - cloned . | 41 | 18 |
249,540 | def _index_entities ( self ) : all_ents = pd . DataFrame . from_records ( [ v . entities for v in self . variables . values ( ) ] ) constant = all_ents . apply ( lambda x : x . nunique ( ) == 1 ) if constant . empty : self . entities = { } else : keep = all_ents . columns [ constant ] ents = { k : all_ents [ k ] . drop... | Sets current instance s entities based on the existing index . | 141 | 12 |
249,541 | def match_variables ( self , pattern , return_type = 'name' ) : pattern = re . compile ( pattern ) vars_ = [ v for v in self . variables . values ( ) if pattern . search ( v . name ) ] return vars_ if return_type . startswith ( 'var' ) else [ v . name for v in vars_ ] | Return columns whose names match the provided regex pattern . | 82 | 10 |
249,542 | def to_df ( self , variables = None , format = 'wide' , sparse = True , sampling_rate = None , include_sparse = True , include_dense = True , * * kwargs ) : if not include_sparse and not include_dense : raise ValueError ( "You can't exclude both dense and sparse " "variables! That leaves nothing!" ) if variables is Non... | Merge columns into a single pandas DataFrame . | 298 | 11 |
249,543 | def _transform ( self , var ) : self . collection . variables . pop ( var . name ) return var . values | Rename happens automatically in the base class so all we need to do is unset the original variable in the collection . | 25 | 24 |
249,544 | def replace_entities ( entities , pattern ) : ents = re . findall ( r'\{(.*?)\}' , pattern ) new_path = pattern for ent in ents : match = re . search ( r'([^|<]+)(<.*?>)?(\|.*)?' , ent ) if match is None : return None name , valid , default = match . groups ( ) default = default [ 1 : ] if default is not None else defa... | Replaces all entity names in a given pattern with the corresponding values provided by entities . | 206 | 17 |
249,545 | def write_contents_to_file ( path , contents = None , link_to = None , content_mode = 'text' , root = None , conflicts = 'fail' ) : if root is None and not isabs ( path ) : root = os . getcwd ( ) if root : path = join ( root , path ) if exists ( path ) or islink ( path ) : if conflicts == 'fail' : msg = 'A file at path... | Uses provided filename patterns to write contents to a new path given a corresponding entity map . | 409 | 18 |
249,546 | def generate ( self , * * kwargs ) : descriptions = [ ] subjs = self . layout . get_subjects ( * * kwargs ) kwargs = { k : v for k , v in kwargs . items ( ) if k != 'subject' } for sid in subjs : descriptions . append ( self . _report_subject ( subject = sid , * * kwargs ) ) counter = Counter ( descriptions ) print ( '... | Generate the methods section . | 131 | 6 |
249,547 | def _report_subject ( self , subject , * * kwargs ) : description_list = [ ] # Remove sess from kwargs if provided, else set sess as all available sessions = kwargs . pop ( 'session' , self . layout . get_sessions ( subject = subject , * * kwargs ) ) if not sessions : sessions = [ None ] elif not isinstance ( sessions ... | Write a report for a single subject . | 344 | 8 |
249,548 | def _gamma_difference_hrf ( tr , oversampling = 50 , time_length = 32. , onset = 0. , delay = 6 , undershoot = 16. , dispersion = 1. , u_dispersion = 1. , ratio = 0.167 ) : from scipy . stats import gamma dt = tr / oversampling time_stamps = np . linspace ( 0 , time_length , np . rint ( float ( time_length ) / dt ) . a... | Compute an hrf as the difference of two gamma functions | 194 | 12 |
249,549 | def spm_hrf ( tr , oversampling = 50 , time_length = 32. , onset = 0. ) : return _gamma_difference_hrf ( tr , oversampling , time_length , onset ) | Implementation of the SPM hrf model | 51 | 9 |
249,550 | def glover_hrf ( tr , oversampling = 50 , time_length = 32. , onset = 0. ) : return _gamma_difference_hrf ( tr , oversampling , time_length , onset , delay = 6 , undershoot = 12. , dispersion = .9 , u_dispersion = .9 , ratio = .35 ) | Implementation of the Glover hrf model | 82 | 8 |
249,551 | def spm_dispersion_derivative ( tr , oversampling = 50 , time_length = 32. , onset = 0. ) : dd = .01 dhrf = 1. / dd * ( - _gamma_difference_hrf ( tr , oversampling , time_length , onset , dispersion = 1. + dd ) + _gamma_difference_hrf ( tr , oversampling , time_length , onset ) ) return dhrf | Implementation of the SPM dispersion derivative hrf model | 106 | 12 |
249,552 | def glover_dispersion_derivative ( tr , oversampling = 50 , time_length = 32. , onset = 0. ) : dd = .01 dhrf = 1. / dd * ( - _gamma_difference_hrf ( tr , oversampling , time_length , onset , delay = 6 , undershoot = 12. , dispersion = .9 + dd , ratio = .35 ) + _gamma_difference_hrf ( tr , oversampling , time_length , o... | Implementation of the Glover dispersion derivative hrf model | 144 | 11 |
249,553 | def _sample_condition ( exp_condition , frame_times , oversampling = 50 , min_onset = - 24 ) : # Find the high-resolution frame_times n = frame_times . size min_onset = float ( min_onset ) n_hr = ( ( n - 1 ) * 1. / ( frame_times . max ( ) - frame_times . min ( ) ) * ( frame_times . max ( ) * ( 1 + 1. / ( n - 1 ) ) - fr... | Make a possibly oversampled event regressor from condition information . | 494 | 13 |
249,554 | def _resample_regressor ( hr_regressor , hr_frame_times , frame_times ) : from scipy . interpolate import interp1d f = interp1d ( hr_frame_times , hr_regressor ) return f ( frame_times ) . T | this function sub - samples the regressors at frame times | 63 | 11 |
249,555 | def _orthogonalize ( X ) : if X . size == X . shape [ 0 ] : return X from scipy . linalg import pinv , norm for i in range ( 1 , X . shape [ 1 ] ) : X [ : , i ] -= np . dot ( np . dot ( X [ : , i ] , X [ : , : i ] ) , pinv ( X [ : , : i ] ) ) # X[:, i] /= norm(X[:, i]) return X | Orthogonalize every column of design X w . r . t preceding columns | 112 | 17 |
249,556 | def _regressor_names ( con_name , hrf_model , fir_delays = None ) : if hrf_model in [ 'glover' , 'spm' , None ] : return [ con_name ] elif hrf_model in [ "glover + derivative" , 'spm + derivative' ] : return [ con_name , con_name + "_derivative" ] elif hrf_model in [ 'spm + derivative + dispersion' , 'glover + derivati... | Returns a list of regressor names computed from con - name and hrf type | 178 | 16 |
249,557 | def _hrf_kernel ( hrf_model , tr , oversampling = 50 , fir_delays = None ) : acceptable_hrfs = [ 'spm' , 'spm + derivative' , 'spm + derivative + dispersion' , 'fir' , 'glover' , 'glover + derivative' , 'glover + derivative + dispersion' , None ] if hrf_model == 'spm' : hkernel = [ spm_hrf ( tr , oversampling ) ] elif ... | Given the specification of the hemodynamic model and time parameters return the list of matching kernels | 502 | 17 |
249,558 | def compute_regressor ( exp_condition , hrf_model , frame_times , con_id = 'cond' , oversampling = 50 , fir_delays = None , min_onset = - 24 ) : # this is the average tr in this session, not necessarily the true tr tr = float ( frame_times . max ( ) ) / ( np . size ( frame_times ) - 1 ) # 1. create the high temporal re... | This is the main function to convolve regressors with hrf model | 345 | 14 |
249,559 | def matches_entities ( obj , entities , strict = False ) : if strict and set ( obj . entities . keys ( ) ) != set ( entities . keys ( ) ) : return False comm_ents = list ( set ( obj . entities . keys ( ) ) & set ( entities . keys ( ) ) ) for k in comm_ents : current = obj . entities [ k ] target = entities [ k ] if isi... | Checks whether an object s entities match the input . | 118 | 11 |
249,560 | def check_path_matches_patterns ( path , patterns ) : path = os . path . abspath ( path ) for patt in patterns : if isinstance ( patt , six . string_types ) : if path == patt : return True elif patt . search ( path ) : return True return False | Check if the path matches at least one of the provided patterns . | 69 | 13 |
249,561 | def count ( self , files = False ) : return len ( self . files ) if files else len ( self . unique ( ) ) | Returns a count of unique values or files . | 28 | 9 |
249,562 | def general_acquisition_info ( metadata ) : out_str = ( 'MR data were acquired using a {tesla}-Tesla {manu} {model} ' 'MRI scanner.' ) out_str = out_str . format ( tesla = metadata . get ( 'MagneticFieldStrength' , 'UNKNOWN' ) , manu = metadata . get ( 'Manufacturer' , 'MANUFACTURER' ) , model = metadata . get ( 'Manuf... | General sentence on data acquisition . Should be first sentence in MRI data acquisition section . | 117 | 16 |
249,563 | def parse_niftis ( layout , niftis , subj , config , * * kwargs ) : kwargs = { k : v for k , v in kwargs . items ( ) if v is not None } description_list = [ ] skip_task = { } # Only report each task once for nifti_struct in niftis : nii_file = nifti_struct . path metadata = layout . get_metadata ( nii_file ) if not met... | Loop through niftis in a BIDSLayout and generate the appropriate description type for each scan . Compile all of the descriptions into a list . | 694 | 32 |
249,564 | def track_exception ( self , type = None , value = None , tb = None , properties = None , measurements = None ) : if not type or not value or not tb : type , value , tb = sys . exc_info ( ) if not type or not value or not tb : try : raise Exception ( NULL_CONSTANT_STRING ) except : type , value , tb = sys . exc_info ( ... | Send information about a single exception that occurred in the application . | 321 | 12 |
249,565 | def track_event ( self , name , properties = None , measurements = None ) : data = channel . contracts . EventData ( ) data . name = name or NULL_CONSTANT_STRING if properties : data . properties = properties if measurements : data . measurements = measurements self . track ( data , self . _context ) | Send information about a single event that has occurred in the context of the application . | 69 | 16 |
249,566 | def track_metric ( self , name , value , type = None , count = None , min = None , max = None , std_dev = None , properties = None ) : dataPoint = channel . contracts . DataPoint ( ) dataPoint . name = name or NULL_CONSTANT_STRING dataPoint . value = value or 0 dataPoint . kind = type or channel . contracts . DataPoint... | Send information about a single metric data point that was captured for the application . | 156 | 15 |
249,567 | def track_trace ( self , name , properties = None , severity = None ) : data = channel . contracts . MessageData ( ) data . message = name or NULL_CONSTANT_STRING if properties : data . properties = properties if severity is not None : data . severity_level = channel . contracts . MessageData . PYTHON_LOGGING_LEVELS . ... | Sends a single trace statement . | 97 | 7 |
249,568 | def track_request ( self , name , url , success , start_time = None , duration = None , response_code = None , http_method = None , properties = None , measurements = None , request_id = None ) : data = channel . contracts . RequestData ( ) data . id = request_id or str ( uuid . uuid4 ( ) ) data . name = name data . ur... | Sends a single request that was captured for the application . | 195 | 12 |
249,569 | def track_dependency ( self , name , data , type = None , target = None , duration = None , success = None , result_code = None , properties = None , measurements = None , dependency_id = None ) : dependency_data = channel . contracts . RemoteDependencyData ( ) dependency_data . id = dependency_id or str ( uuid . uuid4... | Sends a single dependency telemetry that was captured for the application . | 188 | 14 |
249,570 | def dummy_client ( reason ) : sender = applicationinsights . channel . NullSender ( ) queue = applicationinsights . channel . SynchronousQueue ( sender ) channel = applicationinsights . channel . TelemetryChannel ( None , queue ) return applicationinsights . TelemetryClient ( "00000000-0000-0000-0000-000000000000" , ch... | Creates a dummy channel so even if we re not logging telemetry we can still send along the real object to things that depend on it to exist | 76 | 30 |
249,571 | def enable ( instrumentation_key , * args , * * kwargs ) : if not instrumentation_key : raise Exception ( 'Instrumentation key was required but not provided' ) global original_excepthook global telemetry_channel telemetry_channel = kwargs . get ( 'telemetry_channel' ) if not original_excepthook : original_excepthook = ... | Enables the automatic collection of unhandled exceptions . Captured exceptions will be sent to the Application Insights service before being re - thrown . Multiple calls to this function with different instrumentation keys result in multiple instances being submitted one for each key . | 139 | 49 |
249,572 | def init_app ( self , app ) : self . _key = app . config . get ( CONF_KEY ) or getenv ( CONF_KEY ) if not self . _key : return self . _endpoint_uri = app . config . get ( CONF_ENDPOINT_URI ) sender = AsynchronousSender ( self . _endpoint_uri ) queue = AsynchronousQueue ( sender ) self . _channel = TelemetryChannel ( No... | Initializes the extension for the provided Flask application . | 140 | 10 |
249,573 | def _init_request_logging ( self , app ) : enabled = not app . config . get ( CONF_DISABLE_REQUEST_LOGGING , False ) if not enabled : return self . _requests_middleware = WSGIApplication ( self . _key , app . wsgi_app , telemetry_channel = self . _channel ) app . wsgi_app = self . _requests_middleware | Sets up request logging unless APPINSIGHTS_DISABLE_REQUEST_LOGGING is set in the Flask config . | 97 | 26 |
249,574 | def _init_trace_logging ( self , app ) : enabled = not app . config . get ( CONF_DISABLE_TRACE_LOGGING , False ) if not enabled : return self . _trace_log_handler = LoggingHandler ( self . _key , telemetry_channel = self . _channel ) app . logger . addHandler ( self . _trace_log_handler ) | Sets up trace logging unless APPINSIGHTS_DISABLE_TRACE_LOGGING is set in the Flask config . | 87 | 26 |
249,575 | def _init_exception_logging ( self , app ) : enabled = not app . config . get ( CONF_DISABLE_EXCEPTION_LOGGING , False ) if not enabled : return exception_telemetry_client = TelemetryClient ( self . _key , telemetry_channel = self . _channel ) @ app . errorhandler ( Exception ) def exception_handler ( exception ) : if ... | Sets up exception logging unless APPINSIGHTS_DISABLE_EXCEPTION_LOGGING is set in the Flask config . | 143 | 27 |
249,576 | def flush ( self ) : if self . _requests_middleware : self . _requests_middleware . flush ( ) if self . _trace_log_handler : self . _trace_log_handler . flush ( ) if self . _exception_telemetry_client : self . _exception_telemetry_client . flush ( ) | Flushes the queued up telemetry to the service . | 76 | 12 |
249,577 | def get ( self ) : try : item = self . _queue . get_nowait ( ) except ( Empty , PersistEmpty ) : return None if self . _persistence_path : self . _queue . task_done ( ) return item | Gets a single item from the queue and returns it . If the queue is empty this method will return None . | 53 | 23 |
249,578 | def enable ( instrumentation_key , * args , * * kwargs ) : if not instrumentation_key : raise Exception ( 'Instrumentation key was required but not provided' ) if instrumentation_key in enabled_instrumentation_keys : logging . getLogger ( ) . removeHandler ( enabled_instrumentation_keys [ instrumentation_key ] ) async_... | Enables the Application Insights logging handler for the root logger for the supplied instrumentation key . Multiple calls to this function with different instrumentation keys result in multiple handler instances . | 319 | 35 |
249,579 | def start ( self ) : with self . _lock_send_remaining_time : if self . _send_remaining_time <= 0.0 : local_send_interval = self . _send_interval if self . _send_interval < 0.1 : local_send_interval = 0.1 self . _send_remaining_time = self . _send_time if self . _send_remaining_time < local_send_interval : self . _send_... | Starts a new sender thread if none is not already there | 142 | 12 |
249,580 | def device_initialize ( self ) : existing_device_initialize ( self ) self . type = 'Other' self . id = platform . node ( ) self . os_version = platform . version ( ) self . locale = locale . getdefaultlocale ( ) [ 0 ] | The device initializer used to assign special properties to all device context objects | 60 | 14 |
249,581 | def sign ( message : bytes , sign_key : SignKey ) -> Signature : logger = logging . getLogger ( __name__ ) logger . debug ( "Bls::sign: >>> message: %r, sign_key: %r" , message , sign_key ) c_instance = c_void_p ( ) do_call ( 'indy_crypto_bls_sign' , message , len ( message ) , sign_key . c_instance , byref ( c_instanc... | Signs the message and returns signature . | 140 | 8 |
249,582 | def verify ( signature : Signature , message : bytes , ver_key : VerKey , gen : Generator ) -> bool : logger = logging . getLogger ( __name__ ) logger . debug ( "Bls::verify: >>> signature: %r, message: %r, ver_key: %r, gen: %r" , signature , message , ver_key , gen ) valid = c_bool ( ) do_call ( 'indy_crypto_bsl_verif... | Verifies the message signature and returns true - if signature valid or false otherwise . | 166 | 16 |
249,583 | def verify_pop ( pop : ProofOfPossession , ver_key : VerKey , gen : Generator ) -> bool : logger = logging . getLogger ( __name__ ) logger . debug ( "Bls::verify_pop: >>> pop: %r, ver_key: %r, gen: %r" , pop , ver_key , gen ) valid = c_bool ( ) do_call ( 'indy_crypto_bsl_verify_pop' , pop . c_instance , ver_key . c_ins... | Verifies the proof of possession and returns true - if signature valid or false otherwise . | 159 | 17 |
249,584 | def verify_multi_sig ( multi_sig : MultiSignature , message : bytes , ver_keys : [ VerKey ] , gen : Generator ) -> bool : logger = logging . getLogger ( __name__ ) logger . debug ( "Bls::verify_multi_sig: >>> multi_sig: %r, message: %r, ver_keys: %r, gen: %r" , multi_sig , message , ver_keys , gen ) # noinspection PyCa... | Verifies the message multi signature and returns true - if signature valid or false otherwise . | 284 | 17 |
249,585 | def get_urls ( self ) : urls = [ url ( r'^publish/([0-9]+)/$' , self . admin_site . admin_view ( self . publish_post ) , name = 'djangocms_blog_publish_article' ) , ] urls . extend ( super ( PostAdmin , self ) . get_urls ( ) ) return urls | Customize the modeladmin urls | 88 | 7 |
249,586 | def publish_post ( self , request , pk ) : language = get_language_from_request ( request , check_path = True ) try : post = Post . objects . get ( pk = int ( pk ) ) post . publish = True post . save ( ) return HttpResponseRedirect ( post . get_absolute_url ( language ) ) except Exception : try : return HttpResponseRed... | Admin view to publish a single post | 131 | 7 |
249,587 | def has_restricted_sites ( self , request ) : sites = self . get_restricted_sites ( request ) return sites and sites . count ( ) == 1 | Whether the current user has permission on one site only | 34 | 10 |
249,588 | def get_restricted_sites ( self , request ) : try : return request . user . get_sites ( ) except AttributeError : # pragma: no cover return Site . objects . none ( ) | The sites on which the user has permission on . | 43 | 10 |
249,589 | def get_fieldsets ( self , request , obj = None ) : app_config_default = self . _app_config_select ( request , obj ) if app_config_default is None and request . method == 'GET' : return super ( PostAdmin , self ) . get_fieldsets ( request , obj ) if not obj : config = app_config_default else : config = obj . app_config... | Customize the fieldsets according to the app settings | 456 | 10 |
249,590 | def save_model ( self , request , obj , form , change ) : if 'config.menu_structure' in form . changed_data : from menus . menu_pool import menu_pool menu_pool . clear ( all = True ) return super ( BlogConfigAdmin , self ) . save_model ( request , obj , form , change ) | Clear menu cache when changing menu structure | 74 | 7 |
249,591 | def clean_slug ( self ) : source = self . cleaned_data . get ( 'slug' , '' ) lang_choice = self . language_code if not source : source = slugify ( self . cleaned_data . get ( 'title' , '' ) ) qs = Post . _default_manager . active_translations ( lang_choice ) . language ( lang_choice ) used = list ( qs . values_list ( '... | Generate a valid slug in case the given one is taken | 140 | 12 |
249,592 | def tagged ( self , other_model = None , queryset = None ) : tags = self . _taglist ( other_model , queryset ) return self . get_queryset ( ) . filter ( tags__in = tags ) . distinct ( ) | Restituisce una queryset di elementi del model taggati o con gli stessi tag di un model o un queryset | 57 | 33 |
249,593 | def _taglist ( self , other_model = None , queryset = None ) : from taggit . models import TaggedItem filter = None if queryset is not None : filter = set ( ) for item in queryset . all ( ) : filter . update ( item . tags . all ( ) ) filter = set ( [ tag . id for tag in filter ] ) elif other_model is not None : filter ... | Restituisce una lista di id di tag comuni al model corrente e al model o queryset passati come argomento | 202 | 32 |
249,594 | def tag_list ( self , other_model = None , queryset = None ) : from taggit . models import Tag return Tag . objects . filter ( id__in = self . _taglist ( other_model , queryset ) ) | Restituisce un queryset di tag comuni al model corrente e al model o queryset passati come argomento | 53 | 30 |
249,595 | def liveblog_connect ( message , apphook , lang , post ) : try : post = Post . objects . namespace ( apphook ) . language ( lang ) . active_translations ( slug = post ) . get ( ) except Post . DoesNotExist : message . reply_channel . send ( { 'text' : json . dumps ( { 'error' : 'no_post' } ) , } ) return Group ( post .... | Connect users to the group of the given post according to the given language | 123 | 14 |
249,596 | def liveblog_disconnect ( message , apphook , lang , post ) : try : post = Post . objects . namespace ( apphook ) . language ( lang ) . active_translations ( slug = post ) . get ( ) except Post . DoesNotExist : message . reply_channel . send ( { 'text' : json . dumps ( { 'error' : 'no_post' } ) , } ) return Group ( pos... | Disconnect users to the group of the given post according to the given language | 108 | 15 |
249,597 | def video_in_option ( self , param , profile = 'Day' ) : if profile == 'Day' : field = param else : field = '{}Options.{}' . format ( profile , param ) return utils . pretty ( [ opt for opt in self . video_in_options . split ( ) if '].{}=' . format ( field ) in opt ] [ 0 ] ) | Return video input option . | 87 | 5 |
249,598 | def _generate_token ( self ) : session = self . get_session ( ) url = self . __base_url ( 'magicBox.cgi?action=getMachineName' ) try : # try old basic method auth = requests . auth . HTTPBasicAuth ( self . _user , self . _password ) req = session . get ( url , auth = auth , timeout = self . _timeout_default ) if not re... | Create authentation to use with requests . | 257 | 8 |
249,599 | def _set_name ( self ) : try : self . _name = pretty ( self . machine_name ) self . _serial = self . serial_number except AttributeError : self . _name = None self . _serial = None | Set device name . | 51 | 4 |
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