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def scanner(self, j, word): "For each edge expecting a word of this category here, extend the edge." for (i, j, A, alpha, Bb) in self.chart[j]: if Bb and self.grammar.isa(word, Bb[0]): self.add_edge([i, j+1, A, alpha + [(Bb[0], word)], Bb[1:]])
def predictor(self, (i, j, A, alpha, Bb)): "Add to chart any rules for B that could help extend this edge." B = Bb[0] if B in self.grammar.rules: for rhs in self.grammar.rewrites_for(B): self.add_edge([j, j, B, [], rhs])
def extender(self, edge): "See what edges can be extended by this edge." (j, k, B, _, _) = edge for (i, j, A, alpha, B1b) in self.chart[j]: if B1b and B == B1b[0]: self.add_edge([i, k, A, alpha + [edge], B1b[1:]])
def settings(request): """ Adds a ``SettingDict`` object for the ``Setting`` model to the context as ``SETTINGS``. Automatically creates non-existent settings with an empty string as the default value. """ settings = Setting.objects.all().as_dict(default='') context = { 'SETTINGS': s...
def get_child_models(self): """ Returns a list of ``(Model, ModelAdmin)`` tuples for ``base_model`` subclasses. """ child_models = [] # Loop through all models with FKs back to `base_model`. for related_object in get_all_related_objects(self.base_model._meta): ...
def DTAgentProgram(belief_state): "A decision-theoretic agent. [Fig. 13.1]" def program(percept): belief_state.observe(program.action, percept) program.action = argmax(belief_state.actions(), belief_state.expected_outcome_utility) return program.action ...
def event_values(event, vars): """Return a tuple of the values of variables vars in event. >>> event_values ({'A': 10, 'B': 9, 'C': 8}, ['C', 'A']) (8, 10) >>> event_values ((1, 2), ['C', 'A']) (1, 2) """ if isinstance(event, tuple) and len(event) == len(vars): return event else:...
def enumerate_joint_ask(X, e, P): """Return a probability distribution over the values of the variable X, given the {var:val} observations e, in the JointProbDist P. [Section 13.3] >>> P = JointProbDist(['X', 'Y']) >>> P[0,0] = 0.25; P[0,1] = 0.5; P[1,1] = P[2,1] = 0.125 >>> enumerate_joint_ask('X',...
def enumerate_joint(vars, e, P): """Return the sum of those entries in P consistent with e, provided vars is P's remaining variables (the ones not in e).""" if not vars: return P[e] Y, rest = vars[0], vars[1:] return sum([enumerate_joint(rest, extend(e, Y, y), P) for y in P.v...
def enumeration_ask(X, e, bn): """Return the conditional probability distribution of variable X given evidence e, from BayesNet bn. [Fig. 14.9] >>> enumeration_ask('Burglary', dict(JohnCalls=T, MaryCalls=T), burglary ... ).show_approx() 'False: 0.716, True: 0.284'""" assert X not in e, "Query v...
def enumerate_all(vars, e, bn): """Return the sum of those entries in P(vars | e{others}) consistent with e, where P is the joint distribution represented by bn, and e{others} means e restricted to bn's other variables (the ones other than vars). Parents must precede children in vars.""" if not vars...
def elimination_ask(X, e, bn): """Compute bn's P(X|e) by variable elimination. [Fig. 14.11] >>> elimination_ask('Burglary', dict(JohnCalls=T, MaryCalls=T), burglary ... ).show_approx() 'False: 0.716, True: 0.284'""" assert X not in e, "Query variable must be distinct from evidence" factors = []...
def make_factor(var, e, bn): """Return the factor for var in bn's joint distribution given e. That is, bn's full joint distribution, projected to accord with e, is the pointwise product of these factors for bn's variables.""" node = bn.variable_node(var) vars = [X for X in [var] + node.parents if X ...
def sum_out(var, factors, bn): "Eliminate var from all factors by summing over its values." result, var_factors = [], [] for f in factors: (var_factors if var in f.vars else result).append(f) result.append(pointwise_product(var_factors, bn).sum_out(var, bn)) return result
def all_events(vars, bn, e): "Yield every way of extending e with values for all vars." if not vars: yield e else: X, rest = vars[0], vars[1:] for e1 in all_events(rest, bn, e): for x in bn.variable_values(X): yield extend(e1, X, x)
def prior_sample(bn): """Randomly sample from bn's full joint distribution. The result is a {variable: value} dict. [Fig. 14.13]""" event = {} for node in bn.nodes: event[node.variable] = node.sample(event) return event
def rejection_sampling(X, e, bn, N): """Estimate the probability distribution of variable X given evidence e in BayesNet bn, using N samples. [Fig. 14.14] Raises a ZeroDivisionError if all the N samples are rejected, i.e., inconsistent with e. >>> seed(47) >>> rejection_sampling('Burglary', dic...
def consistent_with(event, evidence): "Is event consistent with the given evidence?" return every(lambda (k, v): evidence.get(k, v) == v, event.items())
def likelihood_weighting(X, e, bn, N): """Estimate the probability distribution of variable X given evidence e in BayesNet bn. [Fig. 14.15] >>> seed(1017) >>> likelihood_weighting('Burglary', dict(JohnCalls=T, MaryCalls=T), ... burglary, 10000).show_approx() 'False: 0.702, True: 0.298' ""...
def weighted_sample(bn, e): """Sample an event from bn that's consistent with the evidence e; return the event and its weight, the likelihood that the event accords to the evidence.""" w = 1 event = dict(e) # boldface x in Fig. 14.15 for node in bn.nodes: Xi = node.variable if Xi...
def gibbs_ask(X, e, bn, N): """[Fig. 14.16] >>> seed(1017) >>> gibbs_ask('Burglary', dict(JohnCalls=T, MaryCalls=T), burglary, 1000 ... ).show_approx() 'False: 0.738, True: 0.262' """ assert X not in e, "Query variable must be distinct from evidence" counts = dict((x, 0) for x in bn.var...
def markov_blanket_sample(X, e, bn): """Return a sample from P(X | mb) where mb denotes that the variables in the Markov blanket of X take their values from event e (which must assign a value to each). The Markov blanket of X is X's parents, children, and children's parents.""" Xnode = bn.variable_n...
def normalize(self): """Make sure the probabilities of all values sum to 1. Returns the normalized distribution. Raises a ZeroDivisionError if the sum of the values is 0. >>> P = ProbDist('Flip'); P['H'], P['T'] = 35, 65 >>> P = P.normalize() >>> print '%5.3f %5.3f' % (P....
def show_approx(self, numfmt='%.3g'): """Show the probabilities rounded and sorted by key, for the sake of portable doctests.""" return ', '.join([('%s: ' + numfmt) % (v, p) for (v, p) in sorted(self.prob.items())])
def add(self, node_spec): """Add a node to the net. Its parents must already be in the net, and its variable must not.""" node = BayesNode(*node_spec) assert node.variable not in self.vars assert every(lambda parent: parent in self.vars, node.parents) self.nodes.append(no...
def variable_node(self, var): """Return the node for the variable named var. >>> burglary.variable_node('Burglary').variable 'Burglary'""" for n in self.nodes: if n.variable == var: return n raise Exception("No such variable: %s" % var)
def p(self, value, event): """Return the conditional probability P(X=value | parents=parent_values), where parent_values are the values of parents in event. (event must assign each parent a value.) >>> bn = BayesNode('X', 'Burglary', {T: 0.2, F: 0.625}) >>> bn.p(False, {'...
def pointwise_product(self, other, bn): "Multiply two factors, combining their variables." vars = list(set(self.vars) | set(other.vars)) cpt = dict((event_values(e, vars), self.p(e) * other.p(e)) for e in all_events(vars, bn, {})) return Factor(vars, cpt)
def sum_out(self, var, bn): "Make a factor eliminating var by summing over its values." vars = [X for X in self.vars if X != var] cpt = dict((event_values(e, vars), sum(self.p(extend(e, var, val)) for val in bn.variable_values(var))) ...
def normalize(self): "Return my probabilities; must be down to one variable." assert len(self.vars) == 1 return ProbDist(self.vars[0], dict((k, v) for ((k,), v) in self.cpt.items()))
def next_chunk_boundaries(self, buf, prepend_bytes=0): """Computes the next chunk boundaries within `buf`. See :meth:`.BaseChunker.next_chunk_boundaries`. """ return (boundary for boundary, _ in self.next_chunk_boundaries_levels(buf, prepend_bytes))
def next_chunk_boundaries_levels(self, buf, prepend_bytes=0): """Computes the next chunk boundaries within `buf`. Similar to :meth:`.next_chunk_boundaries`, but information about which chunker led to a respective boundary is included in the returned value. Args: buf (bytes)...
def create_chunker(self, chunk_size): """Create a chunker performing content-defined chunking (CDC) using Rabin Karp's rolling hash scheme with a specific, expected chunk size. Args: chunk_size (int): (Expected) target chunk size. Returns: BaseChunker: A chunker...
def create_multilevel_chunker(self, chunk_sizes): """Create a multi-level chunker performing content-defined chunking (CDC) using Rabin Karp's rolling hash scheme with different specific, expected chunk sizes. Args: chunk_sizes (list): List of (expected) target chunk sizes. ...
def brightness(level=100, group=0): """ Assumes level is out of 100 """ if level not in range(0,101): raise Exception("Brightness must be value between 0 and 100") b = int(floor(level / 4.0) + 2) #lights want values 2-27 return (COMMANDS['ON'][group], Command(0x4E, b))
def strip_minidom_whitespace(node): """Strips all whitespace from a minidom XML node and its children This operation is made in-place.""" for child in node.childNodes: if child.nodeType == Node.TEXT_NODE: if child.nodeValue: child.nodeValue = child.nodeValue.strip() ...
def brightness(level=100, group=0): """ Assumes level is out of 100 """ if level not in range(0,101): raise Exception("Brightness must be value between 0 and 100") b = int(floor(level / 10.0)) #lights have 10 levels of brightness commands = list(darkest(group)) for i in range(0, b): ...
def warmness(level=100, group=0): """ Assumes level is out of 100 """ if level not in range(0,101): raise Exception("Warmness must be value between 0 and 100") b = int(floor(level / 10.0)) #lights have 10 levels of warmness commands = list(coolest(group)) for i in range(0, b): comman...
def color_from_hls(hue, light, sat): """ Takes a hls color and converts to proper hue Bulbs use a BGR order instead of RGB """ if light > 0.95: #too bright, let's just switch to white return 256 elif light < 0.05: #too dark, let's shut it off return -1 else: hue = (-hue ...
def color_from_rgb(red, green, blue): """ Takes your standard rgb color and converts it to a proper hue value """ r = min(red, 255) g = min(green, 255) b = min(blue, 255) if r > 1 or g > 1 or b > 1: r = r / 255.0 g = g / 255.0 b = b / 255.0 return color_fro...
def color_from_hex(value): """ Takes an HTML hex code and converts it to a proper hue value """ if "#" in value: value = value[1:] try: unhexed = bytes.fromhex(value) except: unhexed = binascii.unhexlify(value) # Fallback for 2.7 compatibility return color_from_r...
def wait(self, sec=0.1): """ Wait for x seconds each wait command is 100ms """ sec = max(sec, 0) reps = int(floor(sec / 0.1)) commands = [] for i in range(0, reps): commands.append(Command(0x00, wait=True)) return tuple(commands)
def toc(t=None, name='tictoc'): """ ex1) tic() # save start time - time1 toc() # print elapsed time from last calling tic() toc() # print elapsed time from last calling tic() ex2) t0 = tic() # simple t1 = tic() toc(t1) # print time from t1 toc(t0) # print time from t0 ...
def tictoc(name='tictoc'): """ with tictoc('any string or not'): print 'cool~~~' cool~~~ 2015-12-30 14:39:28,458 [INFO] tictoc Elapsed: 7.10487365723e-05 secs :param name: str """ t = time.time() yield logg.info('%s Elapsed: %s secs' % (name, time.time() - t))
def split_rand(data_or_size, ratio, seed): """ data(1-ratio), data(with ratio) = split_rand(data_or_size, ratio, seed) :param data_or_size: data or count :param ratio: :param seed: :return: """ if not isinstance(data_or_size, int): sz = len(data_or_size) data = np.asarray...
def kfolds(n, k, sz, p_testset=None, seed=7238): """ return train, valid [,test] testset if p_testset :param n: :param k: :param sz: :param p_testset: :param seed: :return: """ trains, tests = split_rand(sz, p_testset, seed) ntrain = len(trains) # np.random.seed(se...
def date_proc(func): """ An decorator checking whether date parameter is passing in or not. If not, default date value is all PTT data. Else, return PTT data with right date. Args: func: function you want to decorate. request: WSGI request parameter getten from django. Returns: date: a datetime variable,...
def queryString_required(strList): """ An decorator checking whether queryString key is valid or not Args: str: allowed queryString key Returns: if contains invalid queryString key, it will raise exception. """ def _dec(function): @wraps(function) def _wrap(request, *args, **kwargs): for i in strList: ...
def queryString_required_ClassVersion(strList): """ An decorator checking whether queryString key is valid or not Args: str: allowed queryString key Returns: if contains invalid queryString key, it will raise exception. """ def _dec(function): @wraps(function) def _wrap(classInstance, request, *args, **kw...
def getJsonFromApi(view, request): """Return json from querying Web Api Args: view: django view function. request: http request object got from django. Returns: json format dictionary """ jsonText = view(request) jsonText = json.loads(jsonText.content.decode('utf-8')) return jsonText
def progress(iter, **kwargs): """ 프로그래스 bar for i in progress(10): print i for i in progress(iter): print i """ if isinstance(iter, int): iter = xrange(iter) if hasattr(iter, '__len__') or 'target' in kwargs: cls = Progress else: cls = ProgressBas...
def threaded(f, *args, **kwargs): """function decorator """ if args or kwargs: return Threaded(f, *args, **kwargs) @wraps(f) def wrapped(*wargs, **wkwargs): return Threaded(f, *wargs, **wkwargs) return wrapped
def spawn(f, *args, **kwargs): """decorator """ if args or kwargs: return Spawn(f, *args, **kwargs) @wraps(f) def wrapped(*args, **kwargs): return Spawn(f, *args, **kwargs) return wrapped
def intersect(self, other): """ self와 other 키가 동일한 아이템의 dictobj :type other: dict :rtype: dictobj: """ return ODict((k, self[k]) for k in self if k in other)
def from_dict(dic): """ recursive dict to dictobj 컨버트 :param dic: :return: """ return ODict((k, ODict.convert_ifdic(v)) for k, v in dic.items())
def plots(data, **kwargs): """ simple wrapper plot with labels and skip x :param yonly_or_xy: :param kwargs: :return: """ labels = kwargs.pop('labels', '') loc = kwargs.pop('loc', 1) # if len(yonly_or_xy) == 1: # x = range(len(yonly_or_xy)) # y = yonly_or_xy # el...
def imshow_grid(images, grid=None, showfun=None, **opt): """ :param images: nhwc :return: """ # assert images.ndim == 4 or list showfun = showfun or plt.imshow count = len(images) grid = grid or grid_recommend(count, sorted(images[0].shape[:2])) res = [] for i, img in enumerate...
def plt_range(*args, **kwargs): """ for i in plot_range(n): plt.imshow(imgs[i]) left arrow yield prev value other key yield next value :param args: :return: """ wait = kwargs.pop('wait', True) if not wait: # no interactive just pass range for i in progress(ra...
def plot_pause(timeout=None, msg=''): """ todo : add some example :param timeout: wait time. if None, blocking :param msg: :return: """ if timeout is not None: print(msg or 'Press key for continue in time {}'.format(timeout)) plt.waitforbuttonpress(timeout=timeout) r...
def flat_images(images, grid=None, bfill=1.0, bsz=(1, 1)): """ convert batch image to flat image with margin inserted [B,h,w,c] => [H,W,c] :param images: :param grid: patch grid cell size of (Row, Col) :param bfill: board filling value :param bsz: int or (int, int) board size :return: fl...
def imshow_flat(images, grid=None, showfun=None, bfill=1.0, bsz=(1,1), **opt): """ imshow after applying flat_images :param images: [bhwc] :param grid: None for auto grid :param showfun: plt.imshow :param bfill: color for board fill :param bsz: size of board :param opt: option for showfu...
def matshow(*args, **kwargs): """ imshow without interpolation like as matshow :param args: :param kwargs: :return: """ kwargs['interpolation'] = kwargs.pop('interpolation', 'none') return plt.imshow(*args, **kwargs)
def imbox(xy, w, h, angle=0.0, **kwargs): """ draw boundary box :param xy: start index xy (ji) :param w: width :param h: height :param angle: :param kwargs: :return: """ from matplotlib.patches import Rectangle return imbound(Rectangle, xy, w, h, angle, **kwargs)
def imbound(clspatch, *args, **kwargs): """ :param clspatch: :param args: :param kwargs: :return: """ # todo : add example c = kwargs.pop('color', kwargs.get('edgecolor', None)) kwargs.update(facecolor='none', edgecolor=c) return impatch(clspatch, *args, **kwargs)
def imslic(img, n_segments=100, aspect=None): """ slic args : n_segments=100, compactness=10., max_iter=10, sigma=0, spacing=None, multichannel=True, convert2lab=None, enforce_connectivity=True, min_size_factor=0.5, max_size_factor=3, slic_zero=False mark_boundaries args: label_img, col...
def imslic2(img, n_segments=100, color=None, outline_color=None, mode='thick', **kwargs): """ slic args : n_segments=100, compactness=10., max_iter=10, sigma=0, spacing=None, multichannel=True, convert2lab=None, enforce_connectivity=True, min_size_factor=0.5, max_size_factor=3, slic_zero=False ...
def movie_saving(outfile, showfun=imshow, fig=None, tight=True, drawopt=None, dpi=100, **movieopt): """ contextmanager for PlotMovieWriter Example: with movie_saving('output.mp4', dpi=100) as plot: for i in range(10): plot(data[i]) :param outfile: :param showfun...
def put(xy, *args): """ put text on on screen a tuple as first argument tells absolute position for the text does not change TermCursor position args = list of optional position, formatting tokens and strings """ cmd = [TermCursor.save, TermCursor.move(*xy), ''.join(args), TermCursor.restore...
def getpassword(prompt="Password: "): """ get user input without echo """ fd = sys.stdin.fileno() old = termios.tcgetattr(fd) new = termios.tcgetattr(fd) new[3] &= ~termios.ECHO # lflags try: termios.tcsetattr(fd, termios.TCSADRAIN, new) passwd = raw_input(promp...
def getch(): """ get character. waiting for key """ try: termios.tcsetattr(_fd, termios.TCSANOW, _new_settings) ch = sys.stdin.read(1) finally: termios.tcsetattr(_fd, termios.TCSADRAIN, _old_settings) return ch
def getlogger(pkg='', handler=None): """ 패키지 혹은 채널 로거 logging.getLogger(package_name) or logg.getLogger() :param pkg: str """ from .caller import caller if not pkg: m = caller.modulename() s = m.split('.', 1) if len(s) > 1: pkg = s[0] if haslogger(pk...
def basicConfig(**kw): """logging의 로그를 한번 호출하면 basicConfig가 안먹으므로. 기존 핸들러 삭제후 재설정. http://stackoverflow.com/questions/1943747/python-logging-before-you-run-logging-basicconfig ex) basicConfig(format='%(asctime)s %(message)s', level=logging.DEBUG) :param filename: Specifies that a FileHandler be crea...
def format(self, record): """tweaked from source of base""" try: record.message = record.getMessage() except TypeError: # if error during msg = msg % self.args if record.args: if isinstance(record.args, collections.Mapping): ...
def getProcessOwner(pid): ''' getProcessOwner - Get the process owner of a pid @param pid <int> - process id @return - None if process not found or can't be determined. Otherwise, a dict: { uid - Owner UID name - Owner name, or None if one cann...
def getProcessOwnerStr(pid): ''' getProcessOwner - Get Process owner of a pid as a string instead of components (#getProcessOwner) @return - Returns username if it can be determined, otherwise uid, otherwise "unknown" ''' ownerInfo = getProcessOwner(pid) if ownerInfo: if ownerIn...
def getProcessCommandLineStr(pid): ''' getProcessCommandLineStr - Gets a the commandline (program + arguments) of a given pid @param pid <int> - Process ID @return - None if process not found or can't be determined. Otherwise a string of commandline. @note Caution, args may have s...
def getProcessCommandLineList(pid): ''' getProcessCommandLineList - Gets the commandline (program + argumentS) of a given pid as a list. @param pid <int> - Process ID @return - None if process not found or can't be determined. Otherwise a list representing argv. First argument is process n...
def scanProcessForCwd(pid, searchPortion, isExactMatch=False): ''' scanProcessForCwd - Searches a given pid's cwd for a given pattern @param pid <int> - A running process ID on this system @param searchPortion <str> - Any portion of directory to search @param isExactMatc...
def scanAllProcessesForCwd(searchPortion, isExactMatch=False): ''' scanAllProcessesForCwd - Scans all processes on the system for a given search pattern. @param searchPortion <str> - Any portion of directory to search @param isExactMatch <bool> Default False - If match should be exa...
def scanProcessForMapping(pid, searchPortion, isExactMatch=False, ignoreCase=False): ''' scanProcessForMapping - Searches a given pid's mappings for a certain pattern. @param pid <int> - A running process ID on this system @param searchPortion <str> - A mapping for which to search, ...
def scanAllProcessesForMapping(searchPortion, isExactMatch=False, ignoreCase=False): ''' scanAllProcessesForMapping - Scans all processes on the system for a given search pattern. @param searchPortion <str> - A mapping for which to search, example: libc or python or libz.so.1. Give empty string...
def scanProcessForOpenFile(pid, searchPortion, isExactMatch=True, ignoreCase=False): ''' scanProcessForOpenFile - Scans open FDs for a given pid to see if any are the provided searchPortion @param searchPortion <str> - Filename to check @param isExactMatch <bool> Default True - If m...
def scanAllProcessesForOpenFile(searchPortion, isExactMatch=True, ignoreCase=False): ''' scanAllProcessessForOpenFile - Scans all processes on the system for a given filename @param searchPortion <str> - Filename to check @param isExactMatch <bool> Default True - If match should be ...
def enum(name, *members, **withvalue): """class buider""" if len(members) == 1: if isinstance(members[0], str): members = members[0].split() elif isinstance(members[0], (list, tuple)): members = members[0] dic = {v: v for v in members} dic.update(withvalue) ...
def database(db='', **kwargs): """ usage: with database('my_db') as conn: c = conn.cursor() .... database 커넥션 with 문과 같이 사용하고, 알아서 close하기 :param db: str: db스키마 :param kwargs: :return: """ db = kwargs.pop('db', db) arg = db_config(db) arg.update(kwargs) r...
def connect(db='', **kwargs): """ db 접속 공통 인자들 채워서 접속, schema만 넣으면 됩니다. db connection 객체 반환이지만 with 문과 같이 쓰이면 cursor임에 주의 (MySQLdb의 구현이 그렇습니다.) ex1) import snipy.database as db conn = db.connect('my_db') cursor = conn.cursor() ex2) import snipy.database as db with db.connect...
def _cursor_exit(cursor, exc_type, exc_value, traceback): """ cursor with문과 쓸수 있게 __exit__에 바인딩 :param cursor: :param exc_type: :param exc_value: :param traceback: :return: """ if exc_type is not None: print(exc_value, traceback) cursor.connection.close()
def fetch(query, args=None, **kwargs): """ for record in fetch(query, args, **configs): print record :param args: :param db: str: db 스키마 :param query: 쿼리 스트링 :param kwargs: db connection 추가 인자. 보통 생략 :return: iterator """ cur = execute(kwargs.pop('db', ''), query, args, **kwa...
def get_insert_query(table, fields=None, field_count=None): """ format insert query :param table: str :param fields: list[str] :param field_count: int :return: str """ if fields: q = 'insert into %s ({0}) values ({1});' % table l = len(fields) q = q.format(','.joi...
def insert(cursor, table, *args, **field_values): """ db에 레코드 집어넣기 ex) cursor.insert(table, v1, v2,...) ex) cursor.insert(table, id=v1, word=v2, commit=True) :param commit: :param cursor: :param table: :param args: :param field_values: :return: """ commit = field_...
def update(cursor, table, where_kv, commit=True, **field_values): """ db update 쿼리 빌딩 및 실행, 단, commit은 :param cursor: 커서 :type cursor: Cursor :param table: 테이블 이름 :type table: str :param where_kv: 업데이트 where 조건 dictionary, key:field, value:equal condition only :type where_kv: dict :p...
def insert_or_update(cursor, table, commit=True, **field_values): """ db update 쿼리 빌딩 및 실행, 단, commit은 :param cursor: 커서 :type cursor: Cursor :param table: 테이블이름 :type table: str :param commit: 커밋 여부 :type commit: bool :param field_values: insert 또는 업데이트 할 필드 및 값 dict pairs :type...
def tojson(o): """ recursive implementation """ try: return json.encode(o) except json.EncodeError: pass try: return o.tojson() except AttributeError as e: pass t = type(o) if isinstance(o, list): return '[%s]' % ', '.join([tojson(e) for e in ...
def named(typename, *fieldnames, **defaults): """ namedtuple with default values named('typename', fields | *fields, default=x, [**defaults]) :param typename: :param fieldnames: :param defaults: :return: """ if len(fieldnames) == 1: if isinstance(fieldnames[0], str): ...
def np_seed(seed): """ numpy random seed context :param seed: :return: """ if seed is not None: state = np.random.get_state() np.random.seed(seed) yield np.random.set_state(state) else: yield
def connect(self): """Create and connect to socket for TCP communication with hub.""" try: self._socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) self._socket.settimeout(TIMEOUT_SECONDS) self._socket.connect((self._ip, self._port)) _LOGGER.debug(...
def send_command(self, command): """Send TCP command to hub and return response.""" # use lock to make TCP send/receive thread safe with self._lock: try: self._socket.send(command.encode("utf8")) result = self.receive() # hub may send "...
def receive(self): """Receive TCP response, looping to get whole thing or timeout.""" try: buffer = self._socket.recv(BUFFER_SIZE) except socket.timeout as error: # Something is wrong, assume it's offline temporarily _LOGGER.error("Error receiving: %s", error)...
def get_data(self): """Get current light data as dictionary with light zids as keys.""" response = self.send_command(GET_LIGHTS_COMMAND) _LOGGER.debug("get_data response: %s", repr(response)) if not response: _LOGGER.debug("Empty response: %s", response) return {}...
def get_lights(self): """Get current light data, set and return as list of Bulb objects.""" # Throttle updates. Use cached data if within UPDATE_INTERVAL_SECONDS now = datetime.datetime.now() if (now - self._last_updated) < datetime.timedelta( seconds=UPDATE_INTERVAL_SECO...