code
string
signature
string
docstring
string
loss_without_docstring
float64
loss_with_docstring
float64
factor
float64
if len(nodes) > 0: data = [node for node in self.get_clients() if node['name'] in nodes] else: data = self.get_clients() channels = [] for client in data: if 'subscriptions' in client: if isinstance(client['subscriptions'], lis...
def get_subscriptions(self, nodes=[])
Returns all the channels where (optionally specified) nodes are subscribed
1.997096
1.863545
1.071665
data = self.get_clients() clients = [] for client in data: if 'subscriptions' in client: if isinstance(client['subscriptions'], list): if search_channel in client['subscriptions']: clients.append(client['name']) ...
def get_subscriptions_channel(self, search_channel)
Return all the nodes that are subscribed to the specified channel
2.281818
2.173156
1.050002
if sys.platform == "win32": _clr_compiler = "C:\\Windows\\Microsoft.NET\\Framework\\v4.0.30319\\csc.exe" else: _clr_compiler = "mcs" cmd = [ _clr_compiler, "/target:library", "clrmagic.cs" ] check_call(" ".join...
def build_extension(self, ext)
build clrmagic.dll using csc or mcs
4.18795
3.12145
1.341668
return self.__handler.wait_for_event(event, timeout=timeout)
def wait_for_event(self, event, timeout=10)
Block waiting for the given event. Returns the event params. :param event: The event to handle. :return: The event params. :param timeout: The maximum time to wait before raising :exc:`.TimeoutError`.
6.604632
9.668749
0.683091
first = 0 last = len(values) while first < last: middle = (first + last) // 2 if values[middle][0] < target: first = middle + 1 else: last = middle return first
def search_greater(values, target)
Return the first index for which target is greater or equal to the first item of the tuple found in values
2.041888
2.120257
0.963038
if not isinstance(value, float): value = float(value) return self._do_add(value)
def add(self, value)
Add a value to the reservoir The value will be casted to a floating-point, so a TypeError or a ValueError may be raised.
5.097489
4.07581
1.250669
return type(self) is type(other) and self._same_parameters(other)
def same_kind(self, other)
Return True if "other" is an object of the same type and it was instantiated with the same parameters
7.258825
5.524474
1.31394
idx = search_greater(self._values, timestamp) if (idx < len(self._values) and math.fabs(self._values[idx][0] - timestamp) < self.EPSILON): return idx return None
def _lookup(self, timestamp)
Return the index of the value associated with "timestamp" if any, else None. Since the timestamps are floating-point values, they are considered equal if their absolute difference is smaller than self.EPSILON
5.591712
3.92119
1.426024
idx = self._lookup(timestamp) if idx is not None: self._values[idx] = (timestamp, value) else: self._values.append((timestamp, value))
def _put(self, timestamp, value)
Replace the value associated with "timestamp" or add the new value
3.110175
2.889212
1.076479
values = self.reservoir.sorted_values def safe(f, *args): try: return f(values, *args) except exceptions.StatisticsError: return 0.0 plevels = [50, 75, 90, 95, 99, 99.9] percentiles = [safe(statistics.percentile, p) for ...
def get(self)
Return the computed statistics over the gathered data
2.700298
2.56402
1.05315
glance = AppGlance( version=1, creation_time=time.time(), slices=(slices or []) ) SyncWrapper(self._blobdb.insert, BlobDatabaseID.AppGlance, target_app, glance.serialise()).wait()
def reload_glance(self, target_app, slices=None)
Reloads an app's glance. Blocks as long as necessary. :param target_app: The UUID of the app for which to reload its glance. :type target_app: ~uuid.UUID :param slices: The slices with which to reload the app's glance. :type slices: list[.AppGlanceSlice]
12.823291
13.146665
0.975403
'''make an imshow of the intranetwork connectivity''' im = ax.pcolor(params.C_YX, cmap='hot') ax.axis(ax.axis('tight')) ax.invert_yaxis() ax.xaxis.set_ticks_position('top') ax.set_xticks(np.arange(9)+0.5) ax.set_yticks(np.arange(8)+0.5) ax.set_xticklabels(params.X, rotation=270) ax.s...
def plotConnectivity(ax)
make an imshow of the intranetwork connectivity
2.939583
2.691648
1.092113
'''return a dict with the per population mean and std synaptic current, averaging over numcells recorded units from each population in the network Returned currents are in unit of nA. ''' #convolution kernels x = np.arange(100) * params.dt kernel = np.exp(-x / params.model_para...
def getMeanInpCurrents(params, numunits=100, filepattern=os.path.join('simulation_output_default', 'population_input_spikes*'))
return a dict with the per population mean and std synaptic current, averaging over numcells recorded units from each population in the network Returned currents are in unit of nA.
6.74216
5.265046
1.280551
'''return a dict with the per population mean and std synaptic current, averaging over numcells recorded units from each population in the network Returned currents are in unit of nA. ''' data = {} #loop over network-populations for i, Y in enumerate(params.Y): ...
def getMeanVoltages(params, numunits=100, filepattern=os.path.join('simulation_output_default', 'voltages'))
return a dict with the per population mean and std synaptic current, averaging over numcells recorded units from each population in the network Returned currents are in unit of nA.
5.912891
4.198267
1.408412
''' on colorplot and as background plot the summed CSD contributions args: :: ax : matplotlib.axes.AxesSubplot object T : list, [tstart, tstop], which timeinterval ylims : list, set range of yaxis to scale with other plots fancy : bool, N : integer, set to n...
def plot_signal_sum_colorplot(ax, params, fname='LFPsum.h5', unit='mV', N=1, ylabels = True, T=[800, 1000], ylim=[-1500, 0], fancy=False, colorbar=True, cmap='spectral_r', absmax=None, transient=200, rasterized=True)
on colorplot and as background plot the summed CSD contributions args: :: ax : matplotlib.axes.AxesSubplot object T : list, [tstart, tstop], which timeinterval ylims : list, set range of yaxis to scale with other plots fancy : bool, N : integer, set to number of LFP...
4.269349
2.786163
1.53234
''' calculates power spectrum of sum signal for all channels ''' if type(fname) is str and os.path.isfile(fname): #open file f = h5py.File(fname) data = f['data'].value srate = f['srate'].value tvec = np.arange(data.shape[1]) * 1000. / srate f.close() ...
def calc_signal_power(params, fname, transient=200, Df=None, mlab=True, NFFT=1000, noverlap=0, window=plt.mlab.window_hanning)
calculates power spectrum of sum signal for all channels
3.866625
3.64263
1.061493
''' on axes plot the LFP power spectral density The whole signal duration is used. args: :: ax : matplotlib.axes.AxesSubplot object fancy : bool, ''' zvec = np.r_[params.electrodeParams['z']] zvec = np.r_[zvec, zvec[-1] + np.diff(zvec)[-1]] #labels ytic...
def plot_signal_power_colorplot(ax, params, fname, transient=200, Df=None, mlab=True, NFFT=1000, window=plt.mlab.window_hanning, noverlap=0, cmap = plt.cm.get_cmap('jet', 21), ...
on axes plot the LFP power spectral density The whole signal duration is used. args: :: ax : matplotlib.axes.AxesSubplot object fancy : bool,
4.383095
3.318459
1.320822
'''plot power (variance) as function of depth for total and separate contributors Plot variance of sum signal ''' colors = phlp.get_colors(len(popkeys)) depth = params.electrodeParams['z'] zpos = np.r_[params.layerBoundaries[:, 0], params.layerBoundaries[-1, 1]] ...
def plotPowers(ax, params, popkeys, dataset, linestyles, linewidths, transient=200, SCALING_POSTFIX='', markerstyles=None)
plot power (variance) as function of depth for total and separate contributors Plot variance of sum signal
3.69632
3.194467
1.1571
urld = {self.extract_site_url: 'extract_token_site.html', self.success_site_url: 'success_site.html'} site = urld.get(self.path) if not site: log.debug("Requesting false url on login server.") self.send_error(404) return log.de...
def do_GET(self, )
Handle GET requests If the path is '/', a site which extracts the token will be generated. This will redirect the user to the '/sucess' page, which shows a success message. :returns: None :rtype: None :raises: None
6.874783
5.913122
1.162632
datapath = os.path.join('html', filename) sitepath = pkg_resources.resource_filename('pytwitcherapi', datapath) with open(sitepath, 'r') as f: html = f.read() self.wfile.write(html.encode('utf-8'))
def _write_html(self, filename)
Read the html site with the given filename from the data directory and write it to :data:`RedirectHandler.wfile`. :param filename: the filename to read :type filename: :class:`str` :returns: None :rtype: None :raises: None
3.369091
3.330217
1.011673
log.debug('POST') self._set_headers() # convert the parameters back to the original fragment # because we need to send the original uri to set_token # url fragments will not show up in self.path though. # thats why we make the hassle to send it as a post request....
def do_POST(self, )
Handle POST requests When the user is redirected, this handler will respond with a website which will send a post request with the url fragment as parameters. This will get the parameters and store the original redirection url and fragments in :data:`LoginServer.tokenurl`. :ret...
13.899447
12.233167
1.13621
log.debug('Setting the token on %s.' % self.session) self.session.token_from_fragment(redirecturl)
def set_token(self, redirecturl)
Set the token on the session :param redirecturl: the original full redirect url :type redirecturl: :class:`str` :returns: None :rtype: None :raises: None
9.480412
9.83414
0.964031
s = super(TwitchOAuthClient, self) uri, headers, body = s._add_bearer_token(*args, **kwargs) authheader = headers.get('Authorization') if authheader: headers['Authorization'] = authheader.replace('Bearer', 'OAuth') return uri, headers, body
def _add_bearer_token(self, *args, **kwargs)
Add a bearer token to the request uri, body or authorization header. This is overwritten to change the headers slightly.
3.090543
2.886636
1.070638
print("Installing template from " + username + "/" + repo) dpath = os.path.join(cwd, "templates") getunzipped(username, repo, dpath)
def install_template(username, repo)
Installs a Blended template from GitHub
6.130121
6.124487
1.00092
print("\nBlended: Static Website Generator -\n") checkConfig() print("Importing from WordPress...") wp = parseXML(filepath) wname = wp.rss.channel.title.cdata wdesc = wp.rss.channel.description.cdata wlan = wp.rss.channel.language.cdata wurl = wp.rss.channel.link.cdata aname...
def import_wp(filepath)
Imports A WordPress export and converts it to a Blended site
4.24146
3.981395
1.06532
print("\nBlended: Static Website Generator -\n") checkConfig() print("Importing from Blogger...") blogger = parseXML(filepath) wname = blogger.feed.title.cdata aname = blogger.feed.author.name.cdata.strip() createBlendedFolders() # Populate the configuration file createCon...
def import_blogger(filepath)
Imports A Blogger export and converts it to a Blended site
5.393091
5.088368
1.059886
print("Installing plugin from " + username + "/" + repo) pip.main(['install', '-U', "git+git://github.com/" + username + "/" + repo + ".git"])
def install_plugin(username, repo)
Installs a Blended plugin from GitHub
4.085574
3.897805
1.048173
print("Blended: Static Website Generator -\n") checkConfig() if (sys.version_info > (3, 0)): wname = input("Website Name: ") wdesc = input("Website Description: ") wlan = input("Website Language: ") wlic = input("Website License: ") aname = input("Author(s) Na...
def init()
Initiates a new website
3.216109
3.145702
1.022382
for name in os.listdir(path): if name != "config.py" and name != "config.pyc" and name != "templates" and name != "content": localpath = os.path.join(path, name) if os.path.isfile(localpath): print("STOR", name, localpath) ftp.storbinary('STOR ' +...
def placeFiles(ftp, path)
Upload the built files to FTP
2.247853
2.172743
1.034569
print("Uploading the files in the " + outdir + "/ directory!\n") # Make sure there is actually a configuration file config_file_dir = os.path.join(cwd, "config.py") if not os.path.exists(config_file_dir): sys.exit( "There dosen't seem to be a configuration file. Have you run th...
def send_ftp(outdir)
Upload the built website to FTP
3.982336
3.936493
1.011645
print("Removing the built files!") # Remove the build folder build_dir = os.path.join(cwd, outdir) if os.path.exists(build_dir): shutil.rmtree(build_dir)
def clean_built(outdir)
Removes all built files
3.766125
3.893611
0.967258
print("Zipping the built files!") config_file_dir = os.path.join(cwd, "config.py") if not os.path.exists(config_file_dir): sys.exit( "There dosen't seem to be a configuration file. Have you run the init command?") else: sys.path.insert(0, cwd) try: f...
def zip_built(outdir)
Packages the build folder into a zip
3.929801
3.819136
1.028976
print("Purging the Blended files!") # Remove the templates folder templ_dir = os.path.join(cwd, "templates") if os.path.exists(templ_dir): shutil.rmtree(templ_dir) # Remove the content folder cont_dir = os.path.join(cwd, "content") if os.path.exists(cont_dir): shutil.r...
def purge()
Removes all files generated by Blended
1.892786
1.801749
1.050527
text_content = open(filename, "r") if ".md" in filename: text_cont1 = "\n" + markdown.markdown(text_content.read()) + "\n" elif ".docx" in filename: with open(os.path.join(cwd, "content", filename), "rb") as docx_file: result = mammoth.convert_to_html(docx_file) ...
def convert_text(filename)
Convert the post/page content using the converters
2.445175
2.397049
1.020077
print("Building your Blended files into a website!") reload(sys) sys.setdefaultencoding('utf8') build_files(outdir) print("The files are built! You can find them in the " + outdir + "/ directory. Run the view command to see what you have created in a web browser.")
def build(outdir)
Blends the generated files and outputs a HTML website
10.803539
8.755145
1.233965
print("Building your Blended files into a website!") global outdir_type outdir_type = outdir reload(sys) sys.setdefaultencoding('utf8') build_files(outdir) print("Watching the content and templates directories for changes, press CTRL+C to stop...\n") w = Watcher() w.run()
def interactive(outdir)
Blends the generated files and outputs a HTML website on file change
10.463599
8.307616
1.259519
index_path = os.path.realpath(os.path.join(cwd, outdir, "index.html")) if os.path.exists(index_path): webbrowser.open('file://' + index_path) else: print("The index.html file could not be found in the " + outdir + "/ folder! Have you deleted it or have you built with home...
def view(outdir)
Opens the built index.html file in a web browser
4.985383
4.460182
1.117753
event_handler = Handler() threads = [] paths = [os.path.join(cwd, "content"), os.path.join(cwd, "templates")] for i in paths: targetPath = str(i) self.observer.schedule(event_handler, targetPath, recursive=True) threads.append(self.observer) ...
def run(self)
Run the builder on changes
3.479869
3.412011
1.019888
cleaned_numbers = [] for x in uncleaned_numbers: try: cleaned_numbers.append(int(x)) except ValueError: cleaned_numbers.append(x) return cleaned_numbers
def _sanitize_numbers(uncleaned_numbers)
Convert strings to integers if possible
1.951264
1.686403
1.157057
min_number = min(filter(lambda x : type(x)==int,numbers)) if min_number < 0: return [x+abs(min_number) if type(x)==int else x for x in numbers] else: return numbers
def _handle_negatives(numbers)
Add the minimum negative number to all the numbers in the such that all the elements become >= 0
3.214851
2.971263
1.081981
max_number = max(filter(lambda x : type(x)==int,numbers)) # If the maxium number is 0, then all the numbers should be 0 # coz we have called handle_negatives prior to this function if max_number == 0 : return upticks[0]*len(numbers) else: normalized_numbers = [ float(x)/max_numb...
def _draw_tickgram(numbers)
Takes a list of integers and generate the equivalent list of ticks corresponding to each of the number
4.349286
4.421904
0.983578
''' Reads text file containing gids of neuron populations as created within the NEST simulation. These gids are not continuous as in the simulation devices get created in between. ''' gidfile = open(os.path.join(model_params.raw_nest_output_path, model_params.GID_...
def get_raw_gids(model_params)
Reads text file containing gids of neuron populations as created within the NEST simulation. These gids are not continuous as in the simulation devices get created in between.
7.539754
2.799771
2.692989
if os.path.exists(path): shutil.rmtree(path) os.makedirs(path) else: os.makedirs(path)
def replace_folder(path)
If the specified folder exists, it is deleted and recreated
1.990361
1.861497
1.069226
if ".html" in filename: newFilename = filename elif ".md" in filename: newFilename = filename.replace(".md", ".html") elif ".tile" in filename: newFilename = filename.replace(".tile", ".html") elif ".jade" in filename: newFilename = filename.replace(".jade", ".html")...
def get_html_filename(filename)
Converts the filename to a .html extension
1.877201
1.808008
1.03827
newFilename = filename.replace(".html", "") newFilename = newFilename.replace(".md", "") newFilename = newFilename.replace(".txt", "") newFilename = newFilename.replace(".tile", "") newFilename = newFilename.replace(".jade", "") newFilename = newFilename.replace(".rst", "") newFilename ...
def get_html_clear_filename(filename)
Clears the file extension from the filename and makes it nice looking
2.106444
2.116177
0.995401
theurl = "https://github.com/" + username + "/" + repo + "/archive/master.zip" name = os.path.join(thedir, 'temp.zip') try: name = urllib.urlretrieve(theurl, name) name = os.path.join(thedir, 'temp.zip') except IOError as e: print("Can't retrieve %r to %r: %s" % (theurl, the...
def getunzipped(username, repo, thedir)
Downloads and unzips a zip file
2.147536
2.168509
0.990328
config_file_dir = os.path.join(cwd, "config.py") if os.path.exists(config_file_dir): print("Making a backup of your config file!") config_file_dir2 = os.path.join(cwd, "config.py.oldbak") copyfile(config_file_dir, config_file_dir2)
def checkConfig()
If the config.py file exists, back it up
3.093786
2.640264
1.171772
config_file_dir = os.path.join(cwd, "config.py") config_file = open(config_file_dir, "w") config_file.write('blended_version = ' + app_version + '\n') config_file.write('\n') config_file.write( '# Configuration is automatically generated by Blended (http://jmroper.com/blended), feel fr...
def createConfig(app_version=5.0, wname="", wdesc="", wdescl="", wlic="", wlan="", wurl="", aname="", abio="")
Generates a config file from the information
2.036175
2.038667
0.998778
# Create the templates folder create_folder(os.path.join(cwd, "templates")) # Create the templates/assets folder create_folder(os.path.join(cwd, "templates", "assets")) # Create the templates/assets/css folder create_folder(os.path.join(cwd, "templates", "assets", "css")) # Create th...
def createBlendedFolders()
Creates the standard folders for a Blended website
1.558193
1.536416
1.014174
items = ((k, os.environ.get(k)) for k in keys) subenv = dict((k, v) for (k, v) in items if v is not None) needset = lambda k: k in keys and not subenv.get(k) def setifnonempty(key, value): if value: subenv[key] = value if needset('HOST'): import platform su...
def get_environ(keys)
Get environment variables from :data:`os.environ`. :type keys: [str] :rtype: dict Some additional features. * If 'HOST' is not in :data:`os.environ`, this function automatically fetch it using :meth:`platform.node`. * If 'TTY' is not in :data:`os.environ`, this function automatically ...
3.938778
2.989775
1.317416
host = data['environ']['HOST'] tty = data['environ'].get('TTY') or 'NO_TTY' return ':'.join(map(str, [ host, tty, os.getppid(), data['start']]))
def generate_session_id(data)
Generate session ID based on HOST, TTY, PID [#]_ and start time. :type data: dict :rtype: str .. [#] PID of the shell, i.e., PPID of this Python process.
7.98385
5.354791
1.490973
if print_session_id and record_type != 'init': raise RuntimeError( '--print-session-id should be used with --record-type=init') cfstore = ConfigStore() # SOMEDAY: Pass a list of environment variables to shell by "rash # init" and don't read configuration in "rash record" comman...
def record_run(record_type, print_session_id, **kwds)
Record shell history.
4.751201
4.600098
1.032848
args_safe = map(conditional_escape, args) kwargs_safe = dict([(k, conditional_escape(v)) for (k, v) in six.iteritems(kwargs)]) return mark_safe(format_string.format(*args_safe, **kwargs_safe))
def format_html(format_string, *args, **kwargs)
Similar to str.format, but passes all arguments through conditional_escape, and calls 'mark_safe' on the result. This function should be used instead of str.format or % interpolation to build up small HTML fragments.
2.8521
2.376809
1.19997
if path is None: return None if path.endswith(os.path.sep): return path else: return path + os.path.sep
def normalize_directory(path)
Append "/" to `path` if needed.
2.500148
2.27993
1.09659
args = command.split(' ') for prog in args: if '=' not in prog: return prog return args[0]
def sql_program_name_func(command)
Extract program name from `command`. >>> sql_program_name_func('ls') 'ls' >>> sql_program_name_func('git status') 'git' >>> sql_program_name_func('EMACS=emacs make') 'make' :type command: str
5.618756
7.857169
0.715112
seq1 = path1.rstrip(sep).split(sep) seq2 = path2.rstrip(sep).split(sep) return sum(1 for (p1, p2) in zip_longest(seq1, seq2) if p1 != p2)
def sql_pathdist_func(path1, path2, sep=os.path.sep)
Return a distance between `path1` and `path2`. >>> sql_pathdist_func('a/b/', 'a/b/', sep='/') 0 >>> sql_pathdist_func('a/', 'a/b/', sep='/') 1 >>> sql_pathdist_func('a', 'a/', sep='/') 0
2.382922
2.830312
0.841929
with self._get_db() as db: with open(self.schemapath) as f: db.cursor().executescript(f.read()) db.commit()
def _init_db(self)
Creates the database tables.
3.724171
3.092646
1.204202
if commit: self._need_commit = True if self._db: yield self._db else: try: with self._get_db() as db: self._db = db db.create_function("REGEXP", 2, sql_regexp_func) db.create_...
def connection(self, commit=False)
Context manager to keep around DB connection. :rtype: sqlite3.Connection SOMEDAY: Get rid of this function. Keeping connection around as an argument to the method using this context manager is probably better as it is more explicit. Also, holding "global state" as instance att...
3.095563
2.823534
1.096343
if self._db: db = self._db try: if self._need_commit: db.commit() finally: db.interrupt() self._db = None self._need_commit = False
def close_connection(self)
Close connection kept by :meth:`connection`. If commit is needed, :meth:`sqlite3.Connection.commit` is called first and then :meth:`sqlite3.Connection.interrupt` is called. A few methods/generators support :meth:`close_connection`: - :meth:`search_command_record` - :me...
4.03304
4.149111
0.972025
with self.connection() as connection: for row in connection.execute(sql, params): yield row if not self._db: return
def _executing(self, sql, params=[])
Execute and yield rows in a way to support :meth:`close_connection`.
5.263426
4.664082
1.128502
keys = ['id', 'rash_version', 'schema_version', 'updated'] sql = with self.connection() as connection: for row in connection.execute(sql): yield VersionRecord(**dict(zip(keys, row)))
def get_version_records(self)
Yield RASH version information stored in DB. Latest first. :rtype: [VersionRecord]
7.550654
5.063298
1.491252
from .__init__ import __version__ as version with self.connection(commit=True) as connection: for vrec in self.get_version_records(): if (vrec.rash_version == version and vrec.schema_version == schema_version): return # no nee...
def update_version_records(self)
Update rash_info table if necessary.
4.628276
3.579151
1.293121
keys = ['command_history_id', 'command', 'session_history_id', 'cwd', 'terminal', 'start', 'stop', 'exit_code'] sql = desired_row = [ crec.command, normalize_directory(crec.cwd), crec.terminal, convert_ts(crec.start), convert_ts(c...
def select_by_command_record(self, crec)
Yield records that matches to `crec`. All attributes of `crec` except for `environ` are concerned.
5.613255
5.837826
0.961532
if after_context or before_context or context: kwds['condition_as_column'] = True limit = kwds['limit'] kwds['limit'] = -1 kwds['unique'] = False kwds['sort_by'] = { 'session': ['session_start_time', 'start_time'], ...
def search_command_record( self, after_context, before_context, context, context_type, **kwds)
Search command history. :rtype: [CommandRecord]
5.711075
5.693574
1.003074
with self.connection() as db: crec = self._select_command_record(db, command_history_id) crec.pipestatus = self._get_pipestatus(db, command_history_id) # Set environment variables cenv = self._select_environ(db, 'command', command_history_id) ...
def get_full_command_record(self, command_history_id, merge_session_environ=True)
Get fully retrieved :class:`CommandRecord` instance by ID. By "fully", it means that complex slots such as `environ` and `pipestatus` are available. :type command_history_id: int :type merge_session_environ: bool
2.857531
2.793509
1.022918
kwargs.setdefault('uptime', pytz.utc.localize(datetime.utcnow())) kwargs.setdefault('priority', 0) kwargs.setdefault('status', 'online') kwargs.setdefault('status_text', '') kwargs.setdefault('connection_type', CONNECTION_XMPP) kwargs.setdefault('encrypted', Tru...
def start_user_session(self, username, domain, resource, **kwargs)
Method to add a user session for debugging. Accepted parameters are the same as to the constructor of :py:class:`~xmpp_backends.base.UserSession`.
2.78927
2.682617
1.039757
''' NEST produces one file per virtual process containing recorder output. This function gathers and combines them into one single file per network population. Parameters ---------- model_params : object network parameters object Returns ------- None ...
def merge_gdf(model_params, raw_label='spikes_', file_type='gdf', fileprefix='spikes')
NEST produces one file per virtual process containing recorder output. This function gathers and combines them into one single file per network population. Parameters ---------- model_params : object network parameters object Returns ------- None
3.593971
2.964829
1.212202
''' Convert dictionary containing numpy arrays to dictionary containing lists Parameters ---------- d : dict sli parameter name and value as dictionary key and value pairs Returns ------- d : dict modified dictionary ''' for key,value in d.iteritems...
def dict_of_numpyarray_to_dict_of_list(d)
Convert dictionary containing numpy arrays to dictionary containing lists Parameters ---------- d : dict sli parameter name and value as dictionary key and value pairs Returns ------- d : dict modified dictionary
3.918006
2.169636
1.805836
''' Read parameters and send them to SLI Parameters ---------- p : dict sli parameter name and value as dictionary key and value pairs Returns ------- None ''' for name in p.keys(): value = p[name] if type(value) == np.ndarray: value ...
def send_nest_params_to_sli(p)
Read parameters and send them to SLI Parameters ---------- p : dict sli parameter name and value as dictionary key and value pairs Returns ------- None
3.640528
3.023103
1.204235
attr = None try: field = model._meta.get_field_by_name(name)[0] if isinstance(field, RelatedObject): label = field.opts.verbose_name else: label = field.verbose_name except models.FieldDoesNotExist: if name == "__unicode__": label = fo...
def label_for_field(name, model, return_attr=False)
Returns a sensible label for a field name. The name can be a callable, property (but not created with @property decorator) or the name of an object's attribute, as well as a genuine fields. If return_attr is True, the resolved attribute (which could be a callable) is also returned. This will be None if ...
2.055667
2.059121
0.998323
value = int(value) with self.lock: self.value += value
def update(self, value)
Update the current rate with the given value. The value must be an integer.
8.014771
6.513328
1.230519
instant_rate = float(self.value) / float(self.tick_interval) with self.lock: if self.initialized: self.rate += (self.alpha * (instant_rate - self.rate)) else: self.initialized = True self.rate = instant_rate ...
def tick(self)
Decay the current rate according to the elapsed time
4.428555
3.901139
1.135195
with self.lock: #TODO: this could slow down slow-rate incoming updates # since the number of ticks depends on the actual time # passed since the latest notification. Consider using # a real timer to tick the EWMA. self.tick() fo...
def notify(self, value)
Add a new observation to the metric
14.102375
13.883858
1.015739
for i in range(times): for avg in (self.m1, self.m5, self.m15, self.day): avg.tick()
def tick_all(self, times)
Tick all the EWMAs for the given number of times
6.143014
5.001749
1.228173
now = time.time() elapsed = now - self.latest_tick if elapsed > self.tick_interval: ticks = int(elapsed / self.tick_interval) self.tick_all(ticks) self.latest_tick = now
def tick(self)
Emulate a timer: in order to avoid a real timer we "tick" a number of times depending on the actual time passed since the last tick
3.741546
3.464142
1.080079
with self.lock: self.tick() data = dict( kind="meter", count=self.count, mean=self.count / (time.time() - self.started_on), one=self.m1.rate, five=self.m5.rate, fifteen=self.m15.rat...
def get(self)
Return the computed statistics over the gathered data
4.763925
4.576121
1.04104
return Interval(Interval.OPEN, lower_value, upper_value, Interval.OPEN)
def open(lower_value, upper_value)
Helper function to construct an interval object with open lower and upper. For example: >>> open(100.2, 800.9) (100.2, 800.9)
5.971761
8.006178
0.745894
return Interval(Interval.CLOSED, lower_value, upper_value, Interval.CLOSED)
def closed(lower_value, upper_value)
Helper function to construct an interval object with closed lower and upper. For example: >>> closed(100.2, 800.9) [100.2, 800.9]
5.599448
8.772508
0.638295
return Interval(Interval.OPEN, lower_value, upper_value, Interval.CLOSED)
def openclosed(lower_value, upper_value)
Helper function to construct an interval object with a open lower and closed upper. For example: >>> openclosed(100.2, 800.9) (100.2, 800.9]
5.342324
7.223641
0.739561
return Interval(Interval.CLOSED, lower_value, upper_value, Interval.OPEN)
def closedopen(lower_value, upper_value)
Helper function to construct an interval object with a closed lower and open upper. For example: >>> closedopen(100.2, 800.9) [100.2, 800.9)
5.579996
7.80481
0.714943
return Interval(self._lower, self._lower_value, self._upper_value, self._upper)
def copy(self)
Returns a new :class:`~pyinter.Interval` object with the same bounds and values.
7.748505
4.753032
1.630224
g = operator.gt if self._lower is self.OPEN else operator.ge l = operator.lt if self._upper is self.OPEN else operator.le return g(value, self.lower_value) and l(value, self._upper_value)
def _contains_value(self, value)
Helper function for __contains__ to check a single value is contained within the interval
3.967319
3.322472
1.194086
if self > other: smaller, larger = other, self else: smaller, larger = self, other if larger.empty(): return False if smaller._upper_value == larger._lower_value: return smaller._upper == smaller.CLOSED and larger._lower == smaller...
def overlaps(self, other)
If self and other have any overlapping values returns True, otherwise returns False
4.659942
4.605962
1.011719
if self.overlaps(other): newlower_value = max(self.lower_value, other.lower_value) new_upper_value = min(self._upper_value, other._upper_value) new_lower, new_upper = self._get_new_lower_upper(other, self.intersect) return Interval(new_lower, newlower_val...
def intersect(self, other)
Returns a new :class:`~pyinter.Interval` representing the intersection of this :class:`~pyinter.Interval` with the other :class:`~pyinter.Interval`
3.037364
2.676616
1.134778
if other.empty(): return self if self in other: return open(self._lower_value, self._lower_value) if self._lower == other._lower and self._lower_value == other._lower_value: return Interval(self._opposite_boundary_type(other._upper), other._upper_valu...
def difference(self, other)
Returns a new Interval or an :class:`~pyinter.IntervalSet` representing the subtraction of this :class:`~pyinter.Interval` with the other :class:`~pyinter.Interval`. The result will contain everything that is contained by the left interval but not contained by the second interval. If t...
1.989296
1.883902
1.055944
try: iter(schedule) except TypeError: raise TypeError("{} is not iterable".format(schedule)) if not callable(callback): raise TypeError("{} is not callable".format(callback)) thread = Timer(schedule, callback, tag) id_ = str(uuid.uuid4()) with LOCK: REGIS...
def register(callback, schedule, tag=None)
Register a callback which will be called at scheduled intervals with the metrics that have the given tag (or all the metrics if None). Return an identifier which can be used to access the registered callback later.
3.263146
3.277076
0.995749
with LOCK: thread = REGISTRY.pop(id_, None) if thread is not None: thread.cancel() return thread
def remove(id_)
Remove the callback and its schedule
6.891757
6.091672
1.131341
if tag is None: return metrics.metrics_by_name_list(metrics.metrics()) else: return metrics.metrics_by_tag(tag)
def get_metrics(tag)
Return the values for the metrics with the given tag or all the available metrics if None
4.298176
4.089894
1.050926
start = time.time() next_tick = start while True: next_tick += interval yield next_tick
def fixed_interval_scheduler(interval)
A scheduler that ticks at fixed intervals of "interval" seconds
4.019457
3.394941
1.183955
games = [] json = response.json() gamejsons = json['games'] for j in gamejsons: g = cls.wrap_json(j) games.append(g) return games
def wrap_search(cls, response)
Wrap the response from a game search into instances and return them :param response: The response from searching a game :type response: :class:`requests.Response` :returns: the new game instances :rtype: :class:`list` of :class:`Game` :raises: None
4.032591
4.336884
0.929836
games = [] json = response.json() topjsons = json['top'] for t in topjsons: g = cls.wrap_json(json=t['game'], viewers=t['viewers'], channels=t['channels']) games.append(g) return games
def wrap_topgames(cls, response)
Wrap the response from quering the top games into instances and return them :param response: The response for quering the top games :type response: :class:`requests.Response` :returns: the new game instances :rtype: :class:`list` of :class:`Game` :raises: None
4.588144
5.45092
0.841719
g = Game(name=json.get('name'), box=json.get('box'), logo=json.get('logo'), twitchid=json.get('_id'), viewers=viewers, channels=channels) return g
def wrap_json(cls, json, viewers=None, channels=None)
Create a Game instance for the given json :param json: the dict with the information of the game :type json: :class:`dict` :param viewers: The viewer count :type viewers: :class:`int` :param channels: The viewer count :type channels: :class:`int` :returns: the ne...
5.09814
4.881138
1.044457
channels = [] json = response.json() channeljsons = json['channels'] for j in channeljsons: c = cls.wrap_json(j) channels.append(c) return channels
def wrap_search(cls, response)
Wrap the response from a channel search into instances and return them :param response: The response from searching a channel :type response: :class:`requests.Response` :returns: the new channel instances :rtype: :class:`list` of :class:`channel` :raises: None
4.263154
4.229062
1.008061
json = response.json() c = cls.wrap_json(json) return c
def wrap_get_channel(cls, response)
Wrap the response from getting a channel into an instance and return it :param response: The response from getting a channel :type response: :class:`requests.Response` :returns: the new channel instance :rtype: :class:`list` of :class:`channel` :raises: None
6.957853
9.98347
0.696937
c = Channel(name=json.get('name'), status=json.get('status'), displayname=json.get('display_name'), game=json.get('game'), twitchid=json.get('_id'), views=json.get('views'), followers...
def wrap_json(cls, json)
Create a Channel instance for the given json :param json: the dict with the information of the channel :type json: :class:`dict` :returns: the new channel instance :rtype: :class:`Channel` :raises: None
2.358762
2.304335
1.023619
streams = [] json = response.json() streamjsons = json['streams'] for j in streamjsons: s = cls.wrap_json(j) streams.append(s) return streams
def wrap_search(cls, response)
Wrap the response from a stream search into instances and return them :param response: The response from searching a stream :type response: :class:`requests.Response` :returns: the new stream instances :rtype: :class:`list` of :class:`stream` :raises: None
4.562905
4.412118
1.034176
json = response.json() s = cls.wrap_json(json['stream']) return s
def wrap_get_stream(cls, response)
Wrap the response from getting a stream into an instance and return it :param response: The response from getting a stream :type response: :class:`requests.Response` :returns: the new stream instance :rtype: :class:`list` of :class:`stream` :raises: None
7.627106
9.89371
0.770905
if json is None: return None channel = Channel.wrap_json(json.get('channel')) s = Stream(game=json.get('game'), channel=channel, twitchid=json.get('_id'), viewers=json.get('viewers'), preview=json.ge...
def wrap_json(cls, json)
Create a Stream instance for the given json :param json: the dict with the information of the stream :type json: :class:`dict` | None :returns: the new stream instance :rtype: :class:`Stream` | None :raises: None
4.070269
3.631145
1.120933
json = response.json() u = cls.wrap_json(json) return u
def wrap_get_user(cls, response)
Wrap the response from getting a user into an instance and return it :param response: The response from getting a user :type response: :class:`requests.Response` :returns: the new user instance :rtype: :class:`list` of :class:`User` :raises: None
6.182529
8.608526
0.718187
u = User(usertype=json['type'], name=json['name'], logo=json['logo'], twitchid=json['_id'], displayname=json['display_name'], bio=json['bio']) return u
def wrap_json(cls, json)
Create a User instance for the given json :param json: the dict with the information of the user :type json: :class:`dict` | None :returns: the new user instance :rtype: :class:`User` :raises: None
6.159687
7.251833
0.849397