idx int64 0 252k | question stringlengths 48 5.28k | target stringlengths 5 1.23k |
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246,200 | def sendOACK ( self ) : log . debug ( "In sendOACK with options %s" , self . context . options ) pkt = TftpPacketOACK ( ) pkt . options = self . context . options self . context . sock . sendto ( pkt . encode ( ) . buffer , ( self . context . host , self . context . tidport ) ) self . context . last_pkt = pkt | This method sends an OACK packet with the options from the current context . |
246,201 | def resendLast ( self ) : "Resend the last sent packet due to a timeout." log . warning ( "Resending packet %s on sessions %s" % ( self . context . last_pkt , self ) ) self . context . metrics . resent_bytes += len ( self . context . last_pkt . buffer ) self . context . metrics . add_dup ( self . context . last_pkt ) s... | Resend the last sent packet due to a timeout . |
246,202 | def handleDat ( self , pkt ) : log . info ( "Handling DAT packet - block %d" % pkt . blocknumber ) log . debug ( "Expecting block %s" , self . context . next_block ) if pkt . blocknumber == self . context . next_block : log . debug ( "Good, received block %d in sequence" , pkt . blocknumber ) self . sendACK ( ) self . ... | This method handles a DAT packet during a client download or a server upload . |
246,203 | def serverInitial ( self , pkt , raddress , rport ) : options = pkt . options sendoack = False if not self . context . tidport : self . context . tidport = rport log . info ( "Setting tidport to %s" % rport ) log . debug ( "Setting default options, blksize" ) self . context . options = { 'blksize' : DEF_BLKSIZE } if op... | This method performs initial setup for a server context transfer put here to refactor code out of the TftpStateServerRecvRRQ and TftpStateServerRecvWRQ classes since their initial setup is identical . The method returns a boolean sendoack to indicate whether it is required to send an OACK to the client . |
246,204 | def handle ( self , pkt , raddress , rport ) : "Handle an initial RRQ packet as a server." log . debug ( "In TftpStateServerRecvRRQ.handle" ) sendoack = self . serverInitial ( pkt , raddress , rport ) path = self . full_path log . info ( "Opening file %s for reading" % path ) if os . path . exists ( path ) : self . con... | Handle an initial RRQ packet as a server . |
246,205 | def make_subdirs ( self ) : subpath = self . full_path [ len ( self . context . root ) : ] log . debug ( "make_subdirs: subpath is %s" , subpath ) dirs = subpath . split ( os . sep ) [ : - 1 ] log . debug ( "dirs is %s" , dirs ) current = self . context . root for dir in dirs : if dir : current = os . path . join ( cur... | The purpose of this method is to if necessary create all of the subdirectories leading up to the file to the written . |
246,206 | def handle ( self , pkt , raddress , rport ) : "Handle an initial WRQ packet as a server." log . debug ( "In TftpStateServerRecvWRQ.handle" ) sendoack = self . serverInitial ( pkt , raddress , rport ) path = self . full_path if self . context . upload_open : f = self . context . upload_open ( path , self . context ) if... | Handle an initial WRQ packet as a server . |
246,207 | def handle ( self , pkt , raddress , rport ) : "Handle a packet, hopefully an ACK since we just sent a DAT." if isinstance ( pkt , TftpPacketACK ) : log . debug ( "Received ACK for packet %d" % pkt . blocknumber ) if self . context . next_block == pkt . blocknumber : if self . context . pending_complete : log . info ( ... | Handle a packet hopefully an ACK since we just sent a DAT . |
246,208 | def handle ( self , pkt , raddress , rport ) : if isinstance ( pkt , TftpPacketDAT ) : return self . handleDat ( pkt ) elif isinstance ( pkt , TftpPacketACK ) : self . sendError ( TftpErrors . IllegalTftpOp ) raise TftpException ( "Received ACK from peer when expecting DAT" ) elif isinstance ( pkt , TftpPacketWRQ ) : s... | Handle the packet in response to an ACK which should be a DAT . |
246,209 | def handle ( self , pkt , raddress , rport ) : if not self . context . tidport : self . context . tidport = rport log . info ( "Set remote port for session to %s" % rport ) if isinstance ( pkt , TftpPacketOACK ) : log . info ( "Received OACK from server" ) try : self . handleOACK ( pkt ) except TftpException as err : l... | Handle the packet in response to an RRQ to the server . |
246,210 | def stop ( self , now = False ) : if now : self . shutdown_immediately = True else : self . shutdown_gracefully = True | Stop the server gracefully . Do not take any new transfers but complete the existing ones . If force is True drop everything and stop . Note immediately will not interrupt the select loop it will happen when the server returns on ready data or a timeout . ie . SOCK_TIMEOUT |
246,211 | def _fetch ( url , ssl_verify = True ) : req = Request ( url ) if ssl_verify : page = urlopen ( req ) else : ctx = ssl . create_default_context ( ) ctx . check_hostname = False ctx . verify_mode = ssl . CERT_NONE page = urlopen ( req , context = ctx ) content = page . read ( ) . decode ( 'utf-8' ) page . close ( ) retu... | Helper funcation to fetch content from a given url . |
246,212 | def _dict ( content ) : if _has_pandas : data = _data_frame ( content ) . to_dict ( orient = 'records' ) else : response = loads ( content ) key = [ x for x in response . keys ( ) if x in c . response_data ] [ 0 ] data = response [ key ] return data | Helper funcation that converts text - based get response to a python dictionary for additional manipulation . |
246,213 | def _data_frame ( content ) : response = loads ( content ) key = [ x for x in response . keys ( ) if x in c . response_data ] [ 0 ] frame = DataFrame ( response [ key ] ) final_frame = _convert ( frame ) return final_frame | Helper funcation that converts text - based get response to a pandas dataframe for additional manipulation . |
246,214 | def _tab ( content ) : response = _data_frame ( content ) . to_csv ( index = False , sep = '\t' ) return response | Helper funcation that converts text - based get response to tab separated values for additional manipulation . |
246,215 | def _pipe ( content ) : response = _data_frame ( content ) . to_csv ( index = False , sep = '|' ) return response | Helper funcation that converts text - based get response to pipe separated values for additional manipulation . |
246,216 | def _get_request ( url_root , api_key , path , response_type , params , ssl_verify ) : url = _url_builder ( url_root , api_key , path , params ) content = _fetch ( url , ssl_verify ) response = _dispatch ( response_type ) ( content ) return response | Helper funcation that requests a get response from FRED . |
246,217 | def parse_atom_file ( filename : str ) -> AtomFeed : root = parse_xml ( filename ) . getroot ( ) return _parse_atom ( root ) | Parse an Atom feed from a local XML file . |
246,218 | def parse_atom_bytes ( data : bytes ) -> AtomFeed : root = parse_xml ( BytesIO ( data ) ) . getroot ( ) return _parse_atom ( root ) | Parse an Atom feed from a byte - string containing XML data . |
246,219 | def _get_link ( element : Element ) -> Optional [ str ] : link = get_text ( element , 'link' ) if link is not None : return link guid = get_child ( element , 'guid' ) if guid is not None and guid . attrib . get ( 'isPermaLink' ) == 'true' : return get_text ( element , 'guid' ) return None | Attempt to retrieve item link . |
246,220 | def parse_rss_file ( filename : str ) -> RSSChannel : root = parse_xml ( filename ) . getroot ( ) return _parse_rss ( root ) | Parse an RSS feed from a local XML file . |
246,221 | def parse_rss_bytes ( data : bytes ) -> RSSChannel : root = parse_xml ( BytesIO ( data ) ) . getroot ( ) return _parse_rss ( root ) | Parse an RSS feed from a byte - string containing XML data . |
246,222 | def parse_json_feed_file ( filename : str ) -> JSONFeed : with open ( filename ) as f : try : root = json . load ( f ) except json . decoder . JSONDecodeError : raise FeedJSONError ( 'Not a valid JSON document' ) return parse_json_feed ( root ) | Parse a JSON feed from a local json file . |
246,223 | def parse_json_feed_bytes ( data : bytes ) -> JSONFeed : try : root = json . loads ( data ) except json . decoder . JSONDecodeError : raise FeedJSONError ( 'Not a valid JSON document' ) return parse_json_feed ( root ) | Parse a JSON feed from a byte - string containing JSON data . |
246,224 | def parse_opml_file ( filename : str ) -> OPML : root = parse_xml ( filename ) . getroot ( ) return _parse_opml ( root ) | Parse an OPML document from a local XML file . |
246,225 | def parse_opml_bytes ( data : bytes ) -> OPML : root = parse_xml ( BytesIO ( data ) ) . getroot ( ) return _parse_opml ( root ) | Parse an OPML document from a byte - string containing XML data . |
246,226 | def get_feed_list ( opml_obj : OPML ) -> List [ str ] : rv = list ( ) def collect ( obj ) : for outline in obj . outlines : if outline . type == 'rss' and outline . xml_url : rv . append ( outline . xml_url ) if outline . outlines : collect ( outline ) collect ( opml_obj ) return rv | Walk an OPML document to extract the list of feed it contains . |
246,227 | def simple_parse_file ( filename : str ) -> Feed : pairs = ( ( rss . parse_rss_file , _adapt_rss_channel ) , ( atom . parse_atom_file , _adapt_atom_feed ) , ( json_feed . parse_json_feed_file , _adapt_json_feed ) ) return _simple_parse ( pairs , filename ) | Parse an Atom RSS or JSON feed from a local file . |
246,228 | def simple_parse_bytes ( data : bytes ) -> Feed : pairs = ( ( rss . parse_rss_bytes , _adapt_rss_channel ) , ( atom . parse_atom_bytes , _adapt_atom_feed ) , ( json_feed . parse_json_feed_bytes , _adapt_json_feed ) ) return _simple_parse ( pairs , data ) | Parse an Atom RSS or JSON feed from a byte - string containing data . |
246,229 | def get_shear_distance ( a ) : cx , cy , cz = a . cell if 'shear_dx' in a . info : assert abs ( cx [ 1 ] ) < 1e-12 , 'cx[1] = {0}' . format ( cx [ 1 ] ) assert abs ( cx [ 2 ] ) < 1e-12 , 'cx[2] = {0}' . format ( cx [ 2 ] ) assert abs ( cy [ 0 ] ) < 1e-12 , 'cx[0] = {0}' . format ( cy [ 0 ] ) assert abs ( cy [ 2 ] ) < 1... | Returns the distance a volume has moved during simple shear . Considers either Lees - Edwards boundary conditions or sheared cells . |
246,230 | def array_inverse ( A ) : A = np . ascontiguousarray ( A , dtype = float ) b = np . identity ( A . shape [ 2 ] , dtype = A . dtype ) n_eq = A . shape [ 1 ] n_rhs = A . shape [ 2 ] pivots = np . zeros ( n_eq , np . intc ) identity = np . eye ( n_eq ) def lapack_inverse ( a ) : b = np . copy ( identity ) pivots = np . ze... | Compute inverse for each matrix in a list of matrices . This is faster than calling numpy . linalg . inv for each matrix . |
246,231 | def get_delta_plus_epsilon ( nat , i_now , dr_now , dr_old ) : XIJ = get_XIJ ( nat , i_now , dr_now , dr_old ) YIJ = get_YIJ ( nat , i_now , dr_old ) YIJ_invert = array_inverse ( YIJ ) epsilon = np . sum ( XIJ . reshape ( - 1 , 3 , 1 , 3 ) * YIJ_invert . reshape ( - 1 , 1 , 3 , 3 ) , axis = 3 ) return epsilon | Calculate delta_ij + epsilon_ij i . e . the deformation gradient matrix |
246,232 | def get_D_square_min ( atoms_now , atoms_old , i_now , j_now , delta_plus_epsilon = None ) : nat = len ( atoms_now ) assert len ( atoms_now ) == len ( atoms_old ) pos_now = atoms_now . positions pos_old = atoms_old . positions dr_now = mic ( pos_now [ i_now ] - pos_now [ j_now ] , atoms_now . cell ) dr_old = mic ( pos_... | Calculate the D^2_min norm of Falk and Langer |
246,233 | def dhms ( secs ) : dhms = [ 0 , 0 , 0 , 0 ] dhms [ 0 ] = int ( secs // 86400 ) s = secs % 86400 dhms [ 1 ] = int ( s // 3600 ) s = secs % 3600 dhms [ 2 ] = int ( s // 60 ) s = secs % 60 dhms [ 3 ] = int ( s + .5 ) return dhms | return days hours minutes and seconds |
246,234 | def hms ( secs ) : hms = [ 0 , 0 , 0 ] hms [ 0 ] = int ( secs // 3600 ) s = secs % 3600 hms [ 1 ] = int ( s // 60 ) s = secs % 60 hms [ 2 ] = int ( s + .5 ) return hms | return hours minutes and seconds |
246,235 | def get_enclosing_orthorhombic_box ( cell ) : cx , cy , cz = cell c1 = cx + cy c2 = cx + cz c3 = cy + cz c4 = cx + cy + cz corners = np . array ( [ [ 0 , 0 , 0 ] , cx , cy , cz , c1 , c2 , c3 , c4 ] ) lower = np . min ( corners , axis = 0 ) upper = np . max ( corners , axis = 0 ) return lower , upper | Return lower and upper bounds of the orthorhombic box that encloses the parallelepiped spanned by the three cell vectors of cell . |
246,236 | def stress_invariants ( s ) : s = np . asarray ( s ) if s . shape == ( 6 , ) : s = s . reshape ( 1 , - 1 ) elif s . shape == ( 3 , 3 ) : s = s . reshape ( 1 , - 1 , - 1 ) if len ( s . shape ) == 3 : s = np . transpose ( [ s [ : , 0 , 0 ] , s [ : , 1 , 1 ] , s [ : , 2 , 2 ] , ( s [ : , 0 , 1 ] + s [ : , 1 , 0 ] ) / 2 , ... | Receives a list of stress tensors and returns the three invariants . Return hydrostatic pressure octahedral shear stress and J3 |
246,237 | def scanmeta ( f ) : print ( f ) if isinstance ( f , str ) : f = io . open ( f , mode = 'r' , encoding = 'latin-1' ) done = False l = f . readline ( ) s = None while l and s is None : i = l . find ( '!' ) if i >= 0 : l = l [ i + 1 : ] i = l . find ( '@meta' ) if i >= 0 : l = l [ i + 5 : ] i = l . find ( '@endmeta' ) if... | Scan file headers for |
246,238 | def mic ( dr , cell , pbc = None ) : rec = np . linalg . inv ( cell ) if pbc is not None : rec *= np . array ( pbc , dtype = int ) . reshape ( 3 , 1 ) dri = np . round ( np . dot ( dr , rec ) ) return dr - np . dot ( dri , cell ) | Apply minimum image convention to an array of distance vectors . |
246,239 | def s_from_dhms ( time ) : dhms_s = { 's' : 1 , 'm' : 60 , 'h' : 3600 , 'd' : 86400 } time = time . lower ( ) word_list = re . findall ( '\d*[^\d]*' , time ) seconds = 0 for word in word_list : if word != '' : sec = 1 for t in list ( dhms_s . keys ( ) ) : nw = word . replace ( t , '' ) if nw != word : sec = dhms_s [ t ... | return seconds from dhms |
246,240 | def get_stress ( self , a ) : s = np . zeros ( 6 , dtype = float ) for c in self . calcs : s += c . get_stress ( a ) return s | Calculate stress tensor . |
246,241 | def set_atoms ( self , a ) : for c in self . calcs : if hasattr ( c , "set_atoms" ) : c . set_atoms ( a ) | Assign an atoms object . |
246,242 | def rename_edges ( self , old_task_name , new_task_name , graph = None ) : if not graph : graph = self . graph for node , edges in graph . items ( ) : if node == old_task_name : graph [ new_task_name ] = copy ( edges ) del graph [ old_task_name ] else : if old_task_name in edges : edges . remove ( old_task_name ) edges... | Change references to a task in existing edges . |
246,243 | def predecessors ( self , node , graph = None ) : if graph is None : graph = self . graph return [ key for key in graph if node in graph [ key ] ] | Returns a list of all predecessors of the given node |
246,244 | def constant ( name , shape , value = 0 , dtype = tf . sg_floatx , summary = True , regularizer = None , trainable = True ) : r shape = shape if isinstance ( shape , ( tuple , list ) ) else [ shape ] x = tf . get_variable ( name , shape , dtype = dtype , initializer = tf . constant_initializer ( value ) , regularizer =... | r Creates a tensor variable of which initial values are value and shape is shape . |
246,245 | def sg_producer_func ( func ) : r @ wraps ( func ) def wrapper ( ** kwargs ) : r opt = tf . sg_opt ( kwargs ) + tf . sg_opt ( dtypes = [ tf . sg_floatx ] , capacity = 32 , num_threads = 1 ) assert opt . source is not None , 'source is mandatory.' if type ( opt . source ) is not list and type ( opt . source ) is not tup... | r Decorates a function func as sg_producer_func . |
246,246 | def sg_transpose ( tensor , opt ) : r assert opt . perm is not None , 'perm is mandatory' return tf . transpose ( tensor , opt . perm , name = opt . name ) | r Permutes the dimensions according to opt . perm . |
246,247 | def sg_argmin ( tensor , opt ) : r opt += tf . sg_opt ( axis = tensor . get_shape ( ) . ndims - 1 ) return tf . argmin ( tensor , opt . axis , opt . name ) | r Returns the indices of the minimum values along the specified axis . |
246,248 | def sg_concat ( tensor , opt ) : r assert opt . target is not None , 'target is mandatory.' opt += tf . sg_opt ( axis = tensor . get_shape ( ) . ndims - 1 ) target = opt . target if isinstance ( opt . target , ( tuple , list ) ) else [ opt . target ] return tf . concat ( [ tensor ] + target , opt . axis , name = opt . ... | r Concatenates tensors along a axis . |
246,249 | def sg_log ( tensor , opt ) : r return tf . log ( tensor + tf . sg_eps , name = opt . name ) | r Log transform a dense tensor |
246,250 | def sg_prod ( tensor , opt ) : r return tf . reduce_prod ( tensor , axis = opt . axis , keep_dims = opt . keep_dims , name = opt . name ) | r Computes the product of elements across axis of a tensor . |
246,251 | def sg_min ( tensor , opt ) : r return tf . reduce_min ( tensor , axis = opt . axis , keep_dims = opt . keep_dims , name = opt . name ) | r Computes the minimum of elements across axis of a tensor . |
246,252 | def sg_max ( tensor , opt ) : r return tf . reduce_max ( tensor , axis = opt . axis , keep_dims = opt . keep_dims , name = opt . name ) | r Computes the maximum of elements across axis of a tensor . |
246,253 | def sg_any ( tensor , opt ) : r return tf . reduce_any ( tensor , axis = opt . axis , keep_dims = opt . keep_dims , name = opt . name ) | r Computes the logical or of elements across axis of a tensor . |
246,254 | def sg_lookup ( tensor , opt ) : r assert opt . emb is not None , 'emb is mandatory.' return tf . nn . embedding_lookup ( opt . emb , tensor , name = opt . name ) | r Looks up the tensor which is the embedding matrix . |
246,255 | def sg_reverse_seq ( tensor , opt ) : r opt += tf . sg_opt ( axis = 1 ) seq_len = tf . not_equal ( tensor , tf . zeros_like ( tensor ) ) . sg_int ( ) . sg_sum ( axis = opt . axis ) return tf . reverse_sequence ( tensor , seq_len , opt . axis , name = opt . name ) | r Reverses variable length slices . |
246,256 | def sg_gpus ( ) : r global _gpus if _gpus is None : local_device_protos = device_lib . list_local_devices ( ) _gpus = len ( [ x . name for x in local_device_protos if x . device_type == 'GPU' ] ) return max ( _gpus , 1 ) | r Gets current available GPU nums |
246,257 | def sg_context ( ** kwargs ) : r global _context context_now = tf . sg_opt ( kwargs ) _context += [ context_now ] if context_now . name : context_now . scope_name = context_now . name context_now . name = None with tf . variable_scope ( context_now . scope_name ) : yield else : yield del _context [ - 1 ] | r Context helper for computational graph building . Makes all elements within the with Block share the parameters . |
246,258 | def sg_get_context ( ) : r global _context res = tf . sg_opt ( ) for c in _context : res += c return res | r Get current context information |
246,259 | def sg_sugar_func ( func ) : r @ wraps ( func ) def wrapper ( tensor , ** kwargs ) : out = func ( tensor , tf . sg_opt ( kwargs ) ) out . _sugar = tf . sg_opt ( func = func , arg = tf . sg_opt ( kwargs ) + sg_get_context ( ) , prev = tensor ) out . sg_reuse = types . MethodType ( sg_reuse , out ) return out return wrap... | r Decorates a function func so that it can be a sugar function . Sugar function can be used in a chainable manner . |
246,260 | def sg_reuse ( tensor , ** opt ) : r opt = tf . sg_opt ( opt ) assert hasattr ( tensor , '_sugar' ) , 'cannot reuse this node.' assert opt . input is not None , 'input is mandatory.' nodes , prev = [ tensor ] , tensor . _sugar . prev while prev is not None : nodes = [ prev ] + nodes prev = prev . _sugar . prev if hasat... | r Reconstruct computational graph of tensor so all the parameters can be reused and replace its input tensor with opt . input . |
246,261 | def sg_input ( shape = None , dtype = sg_floatx , name = None ) : r if shape is None : return tf . placeholder ( dtype , shape = None , name = name ) else : if not isinstance ( shape , ( list , tuple ) ) : shape = [ shape ] return tf . placeholder ( dtype , shape = [ None ] + list ( shape ) , name = name ) | r Creates a placeholder . |
246,262 | def sg_inject ( path , mod_name ) : r import sys if path not in list ( sys . path ) : sys . path . append ( path ) globals ( ) [ mod_name ] = importlib . import_module ( mod_name ) for func_name in dir ( globals ( ) [ mod_name ] ) : if isinstance ( globals ( ) [ mod_name ] . __dict__ . get ( func_name ) , types . Funct... | r Converts all functions in the given Python module to sugar functions so that they can be used in a chainable manner . |
246,263 | def sg_queue_context ( sess = None ) : r sess = tf . get_default_session ( ) if sess is None else sess coord = tf . train . Coordinator ( ) try : threads = tf . train . start_queue_runners ( sess , coord ) yield finally : coord . request_stop ( ) coord . join ( threads ) | r Context helper for queue routines . |
246,264 | def sg_arg ( ) : r if not tf . app . flags . FLAGS . __dict__ [ '__parsed' ] : tf . app . flags . FLAGS . _parse_flags ( ) return tf . sg_opt ( tf . app . flags . FLAGS . __dict__ [ '__flags' ] ) | r Gets current command line options |
246,265 | def sg_arg_def ( ** kwargs ) : r for k , v in kwargs . items ( ) : if type ( v ) is tuple or type ( v ) is list : v , c = v [ 0 ] , v [ 1 ] else : c = k if type ( v ) is str : tf . app . flags . DEFINE_string ( k , v , c ) elif type ( v ) is int : tf . app . flags . DEFINE_integer ( k , v , c ) elif type ( v ) is float... | r Defines command line options |
246,266 | def sg_summary_loss ( tensor , prefix = 'losses' , name = None ) : r prefix = '' if prefix is None else prefix + '/' name = prefix + _pretty_name ( tensor ) if name is None else prefix + name _scalar ( name , tf . reduce_mean ( tensor ) ) _histogram ( name + '-h' , tensor ) | r Register tensor to summary report as loss |
246,267 | def sg_summary_gradient ( tensor , gradient , prefix = None , name = None ) : r prefix = '' if prefix is None else prefix + '/' name = prefix + _pretty_name ( tensor ) if name is None else prefix + name _scalar ( name + '/grad' , tf . reduce_mean ( tf . abs ( gradient ) ) ) _histogram ( name + '/grad-h' , tf . abs ( gr... | r Register tensor to summary report as gradient |
246,268 | def sg_summary_activation ( tensor , prefix = None , name = None ) : r prefix = '' if prefix is None else prefix + '/' name = prefix + _pretty_name ( tensor ) if name is None else prefix + name _scalar ( name + '/ratio' , tf . reduce_mean ( tf . cast ( tf . greater ( tensor , 0 ) , tf . sg_floatx ) ) ) _histogram ( nam... | r Register tensor to summary report as activation |
246,269 | def sg_summary_param ( tensor , prefix = None , name = None ) : r prefix = '' if prefix is None else prefix + '/' name = prefix + _pretty_name ( tensor ) if name is None else prefix + name _scalar ( name + '/abs' , tf . reduce_mean ( tf . abs ( tensor ) ) ) _histogram ( name + '/abs-h' , tf . abs ( tensor ) ) | r Register tensor to summary report as parameters |
246,270 | def sg_summary_image ( tensor , prefix = None , name = None ) : r prefix = '' if prefix is None else prefix + '/' name = prefix + _pretty_name ( tensor ) if name is None else prefix + name if not tf . get_variable_scope ( ) . reuse : tf . summary . image ( name + '-im' , tensor ) | r Register tensor to summary report as image |
246,271 | def sg_summary_audio ( tensor , sample_rate = 16000 , prefix = None , name = None ) : r prefix = '' if prefix is None else prefix + '/' name = prefix + _pretty_name ( tensor ) if name is None else prefix + name if not tf . get_variable_scope ( ) . reuse : tf . summary . audio ( name + '-au' , tensor , sample_rate ) | r Register tensor to summary report as audio |
246,272 | def sg_train ( ** kwargs ) : r opt = tf . sg_opt ( kwargs ) assert opt . loss is not None , 'loss is mandatory.' opt += tf . sg_opt ( optim = 'MaxProp' , lr = 0.001 , beta1 = 0.9 , beta2 = 0.99 , category = '' , ep_size = 100000 ) train_op = sg_optim ( opt . loss , optim = opt . optim , lr = 0.001 , beta1 = opt . beta1... | r Trains the model . |
246,273 | def sg_restore ( sess , save_path , category = '' ) : r if not isinstance ( category , ( tuple , list ) ) : category = [ category ] var_list = { } for cat in category : for t in tf . global_variables ( ) : if t . name . startswith ( cat ) : var_list [ t . name [ : - 2 ] ] = t saver = tf . train . Saver ( var_list ) sav... | r Restores previously saved variables . |
246,274 | def sg_regularizer_loss ( scale = 1.0 ) : r return scale * tf . reduce_mean ( tf . get_collection ( tf . GraphKeys . REGULARIZATION_LOSSES ) ) | r Get regularizer losss |
246,275 | def sg_densenet_layer ( x , opt ) : r assert opt . dim is not None , 'dim is mandatory.' assert opt . num is not None , 'num is mandatory.' opt += tf . sg_opt ( stride = 1 , act = 'relu' , trans = True ) def cname ( index ) : return opt . name if opt . name is None else opt . name + '_%d' % index with tf . sg_context (... | r Applies basic architecture of densenet layer . |
246,276 | def deep_merge_dict ( a , b ) : if not isinstance ( a , dict ) : raise TypeError ( "a must be a dict, but found %s" % a . __class__ . __name__ ) if not isinstance ( b , dict ) : raise TypeError ( "b must be a dict, but found %s" % b . __class__ . __name__ ) _a = copy ( a ) _b = copy ( b ) for key_b , val_b in iteritems... | Deep merges dictionary b into dictionary a . |
246,277 | def copy_file_if_modified ( src_path , dest_path ) : if os . path . isdir ( dest_path ) : shutil . rmtree ( dest_path ) must_copy = False if not os . path . exists ( dest_path ) : must_copy = True else : src_stat = os . stat ( src_path ) dest_stat = os . stat ( dest_path ) if ( ( src_stat [ stat . ST_SIZE ] != dest_sta... | Only copies the file from the source path to the destination path if it doesn t exist yet or it has been modified . Intended to provide something of an optimisation when a project has large trees of assets . |
246,278 | def get_url_file_ext ( url ) : filename = url . split ( '/' ) [ - 1 ] name , ext = os . path . splitext ( filename ) if not ext and name and name [ 0 ] == '.' : ext = name return ext | Attempts to extract the file extension from the given URL . |
246,279 | def generate_quickstart ( project_path ) : ensure_path_exists ( project_path ) ensure_file_exists ( os . path . join ( project_path , "config.yml" ) , DEFAULT_CONFIG_CONTENT ) ensure_path_exists ( os . path . join ( project_path , 'models' ) ) ensure_path_exists ( os . path . join ( project_path , 'data' ) ) ensure_pat... | Generates all of the basic paths for a Statik project within the given project path . If the project path doesn t exist it will be created . |
246,280 | def get_project_config_file ( path , default_config_file_name ) : _path , _config_file_path = None , None path = os . path . abspath ( path ) if os . path . isdir ( path ) : _path = path _config_file_path = os . path . join ( _path , default_config_file_name ) logger . debug ( "Using default project configuration file ... | Attempts to extract the project config file s absolute path from the given path . If the path is a directory it automatically assumes a config . yml file will be in that directory . If the path is to a . yml file it assumes that that is the root configuration file for the project . |
246,281 | def strip_el_text ( el , max_depth = 0 , cur_depth = 0 ) : el_text = strip_str ( el . text if el . text is not None else "" ) if cur_depth < max_depth : for child in el : el_text += " " + strip_el_text ( child , max_depth = max_depth , cur_depth = cur_depth + 1 ) else : children = list ( el ) if children is not None an... | Recursively strips the plain text out of the given XML etree element up to the desired depth . |
246,282 | def find_first_file_with_ext ( base_paths , prefix , exts ) : for base_path in base_paths : for ext in exts : filename = os . path . join ( base_path , "%s%s" % ( prefix , ext ) ) if os . path . exists ( filename ) and os . path . isfile ( filename ) : logger . debug ( "Found first file with relevant extension: %s" , f... | Runs through the given list of file extensions and returns the first file with the given base path and extension combination that actually exists . |
246,283 | def find_duplicates_in_array ( array ) : duplicates = [ ] non_duplicates = [ ] if len ( array ) != len ( set ( array ) ) : for item in array : if item not in non_duplicates : non_duplicates . append ( item ) elif item in non_duplicates and item not in duplicates : duplicates . append ( item ) return duplicates | Runs through the array and returns the elements that contain more than one duplicate |
246,284 | def read_requirements ( filename ) : data = [ ] for line in read_file ( filename ) : line = line . strip ( ) if not line or line . startswith ( '#' ) : continue if '+' in line [ : 4 ] : repo_link , egg_name = line . split ( '#egg=' ) if not egg_name : raise ValueError ( 'Unknown requirement: {0}' . format ( line ) ) DE... | Parse a requirements file . |
246,285 | def find_additional_rels ( self , all_models ) : for model_name , model in iteritems ( all_models ) : if model_name != self . name : for field_name in model . field_names : field = model . fields [ field_name ] if field . field_type == self . name and field . back_populates is not None and ( isinstance ( field , Statik... | Attempts to scan for additional relationship fields for this model based on all of the other models structures and relationships . |
246,286 | def create_db ( self , models ) : self . tables = dict ( [ ( model_name , self . create_model_table ( model ) ) for model_name , model in iteritems ( models ) ] ) logger . debug ( "Creating %d database table(s)..." , len ( self . tables ) ) try : self . Base . metadata . create_all ( self . engine ) except Exception as... | Creates the in - memory SQLite database from the model configuration . |
246,287 | def sort_models ( self ) : model_names = [ table . name for table in self . Base . metadata . sorted_tables if table . name in self . models ] logger . debug ( "Unsorted models: %s" , model_names ) model_count = len ( model_names ) swapped = True sort_round = 0 while swapped : sort_round += 1 logger . debug ( 'Sorting ... | Sorts the database models appropriately based on their relationships so that we load our data in the appropriate order . |
246,288 | def create_model_table ( self , model ) : try : return db_model_factory ( self . Base , model , self . models ) except Exception as exc : raise ModelError ( model . name , message = "failed to create in-memory table." , orig_exc = exc , context = self . error_context ) | Creates the table for the given model . |
246,289 | def load_model_data ( self , path , model ) : if os . path . isdir ( path ) : if os . path . isfile ( os . path . join ( path , '_all.yml' ) ) : self . load_model_data_collection ( path , model ) self . load_model_data_from_files ( path , model ) self . session . commit ( ) | Loads the data for the specified model from the given path . |
246,290 | def query ( self , query , additional_locals = None , safe_mode = False ) : logger . debug ( "Attempting to execute database query: %s" , query ) if safe_mode and not isinstance ( query , dict ) : raise SafetyViolationError ( context = self . error_context ) if isinstance ( query , dict ) : logger . debug ( "Executing ... | Executes the given SQLAlchemy query string . |
246,291 | def generate ( input_path , output_path = None , in_memory = False , safe_mode = False , error_context = None ) : project = StatikProject ( input_path , safe_mode = safe_mode , error_context = error_context ) return project . generate ( output_path = output_path , in_memory = in_memory ) | Executes the Statik site generator using the given parameters . |
246,292 | def generate ( self , output_path = None , in_memory = False ) : result = dict ( ) if in_memory else 0 logger . info ( "Generating Statik build..." ) try : if output_path is None and not in_memory : raise InternalError ( "If project is not to be generated in-memory, an output path must be specified" ) self . error_cont... | Executes the Statik project generator . |
246,293 | def load_views ( self ) : view_path = os . path . join ( self . path , StatikProject . VIEWS_DIR ) logger . debug ( "Loading views from: %s" , view_path ) if not os . path . isdir ( view_path ) : raise MissingProjectFolderError ( StatikProject . VIEWS_DIR ) view_files = list_files ( view_path , [ 'yml' , 'yaml' ] ) log... | Loads the views for this project from the project directory structure . |
246,294 | def process_views ( self ) : output = { } logger . debug ( "Processing %d view(s)..." , len ( self . views ) ) for view_name , view in iteritems ( self . views ) : try : output = deep_merge_dict ( output , view . process ( self . db , safe_mode = self . safe_mode , extra_context = self . project_context ) ) except Stat... | Processes the loaded views to generate the required output data . |
246,295 | def dump_in_memory_result ( self , result , output_path ) : file_count = 0 logger . debug ( "Dumping in-memory processing results to output folder: %s" , output_path ) for k , v in iteritems ( result ) : cur_output_path = os . path . join ( output_path , k ) if isinstance ( v , dict ) : file_count += self . dump_in_mem... | Recursively dumps the result of our processing into files within the given output path . |
246,296 | def copy_assets ( self , output_path ) : src_paths = [ ] if self . config . theme is not None : src_paths . append ( os . path . join ( self . path , StatikProject . THEMES_DIR , self . config . theme , StatikProject . ASSETS_DIR ) ) if os . path . isabs ( self . config . assets_src_path ) : src_paths . append ( self .... | Copies all asset files from the source path to the destination path . If no such source path exists no asset copying will be performed . |
246,297 | def autogen ( project_path ) : generate_quickstart ( project_path ) project = StatikProject ( project_path ) project . config = StatikConfig ( project . config_file_path ) models = list ( project . load_models ( ) . values ( ) ) logger . info ( 'Creating view and template for home page (index.html).' ) generate_yaml_fi... | Autogenerates views and templates for all the models in the project . |
246,298 | def generate_yaml_file ( filename , contents ) : with open ( filename , 'w' ) as file : file . write ( yaml . dump ( contents , default_flow_style = False ) ) | Creates a yaml file with the given content . |
246,299 | def generate_index_file ( filename ) : with open ( filename , 'w' ) as file : content = open ( os . path . join ( os . path . dirname ( __file__ ) , 'templates/index_page.html' ) , 'r' ) . read ( ) file . write ( content ) | Constructs a default home page for the project . |
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