Search is not available for this dataset
text stringlengths 75 104k |
|---|
def _getCallingContext():
"""
Utility function for the RedisLogRecord.
Returns the module, function, and lineno of the function
that called the logger.
We look way up in the stack. The stack at this point is:
[0] logger.py _getCallingContext (hey, that's me!)
[1] logger.py __init__
... |
def format(self, record):
"""
JSON-encode a record for serializing through redis.
Convert date to iso format, and stringify any exceptions.
"""
data = record._raw.copy()
# serialize the datetime date as utc string
data['time'] = data['time'].isoformat()
... |
def emit(self, record):
"""
Publish record to redis logging channel
"""
try:
self.redis_client.publish(self.channel, self.format(record))
except redis.RedisError:
pass |
def emit(self, record):
"""
Publish record to redis logging list
"""
try:
if self.max_messages:
p = self.redis_client.pipeline()
p.rpush(self.key, self.format(record))
p.ltrim(self.key, -self.max_messages, -1)
p.... |
def require_template_debug(f):
"""Decorated function is a no-op if TEMPLATE_DEBUG is False"""
def _(*args, **kwargs):
TEMPLATE_DEBUG = getattr(settings, 'TEMPLATE_DEBUG', False)
return f(*args, **kwargs) if TEMPLATE_DEBUG else ''
return _ |
def _display_details(var_data):
"""
Given a dictionary of variable attribute data from get_details display the
data in the terminal.
"""
meta_keys = (key for key in list(var_data.keys())
if key.startswith('META_'))
for key in meta_keys:
display_key = key[5:].capitalize()... |
def set_trace(context):
"""
Start a pdb set_trace inside of the template with the context available as
'context'. Uses ipdb if available.
"""
try:
import ipdb as pdb
except ImportError:
import pdb
print("For best results, pip install ipdb.")
print("Variables that are ... |
def pydevd(context):
"""
Start a pydev settrace
"""
global pdevd_not_available
if pdevd_not_available:
return ''
try:
import pydevd
except ImportError:
pdevd_not_available = True
return ''
render = lambda s: template.Template(s).render(context)
availab... |
def _flatten(iterable):
"""
Given an iterable with nested iterables, generate a flat iterable
"""
for i in iterable:
if isinstance(i, Iterable) and not isinstance(i, string_types):
for sub_i in _flatten(i):
yield sub_i
else:
yield i |
def get_details(var):
"""
Given a variable inside the context, obtain the attributes/callables,
their values where possible, and the module name and class name if possible
"""
var_data = {}
# Obtain module and class details if available and add them in
module = getattr(var, '__module__', '')... |
def _get_detail_value(var, attr):
"""
Given a variable and one of its attributes that are available inside of
a template, return its 'method' if it is a callable, its class name if it
is a model manager, otherwise return its value
"""
value = getattr(var, attr)
# Rename common Django class n... |
def get_attributes(var):
"""
Given a varaible, return the list of attributes that are available inside
of a template
"""
is_valid = partial(is_valid_in_template, var)
return list(filter(is_valid, dir(var))) |
def is_valid_in_template(var, attr):
"""
Given a variable and one of its attributes, determine if the attribute is
accessible inside of a Django template and return True or False accordingly
"""
# Remove private variables or methods
if attr.startswith('_'):
return False
# Remove any ... |
def version_bump(self, version, type="bug"):
"""
Increment version number string 'version'.
Type can be one of: major, minor, or bug
"""
parsed_version = LooseVersion(version).version
total_components = max(3, len(parsed_version))
bits = []
... |
def parse_log_messages(self, text):
"""Will parse git log messages in the 'short' format"""
regex = r"commit ([0-9a-f]+)\nAuthor: (.*?)\n\n(.*?)(?:\n\n|$)"
messages = re.findall(regex, text, re.DOTALL)
parsed = []
for commit, author, message in messages:
pars... |
def determine_paths(self, package_name=None, create_package_dir=False, dry_run=False):
"""Determine paths automatically and a little intelligently"""
# Give preference to the environment variable here as it will not
# derefrence sym links
self.project_dir = Path(os.getenv('PWD'... |
def check_integrity(sakefile, settings):
"""
Checks the format of the sakefile dictionary
to ensure it conforms to specification
Args:
A dictionary that is the parsed Sakefile (from sake.py)
The setting dictionary (for print functions)
Returns:
True if the Sakefile is confor... |
def check_target_integrity(key, values, meta=False, all=False, parent=None):
"""
Checks the integrity of a specific target. Gets called
multiple times from check_integrity()
Args:
The target name
The dictionary values of that target
A boolean representing whether it is a meta-ta... |
def check_shastore_version(from_store, settings):
"""
This function gives us the option to emit errors or warnings
after sake upgrades
"""
sprint = settings["sprint"]
error = settings["error"]
sprint("checking .shastore version for potential incompatibilities",
level="verbose")
... |
def get_sha(a_file, settings=None):
"""
Returns sha1 hash of the file supplied as an argument
"""
if settings:
error = settings["error"]
else:
error = ERROR_FN
try:
BLOCKSIZE = 65536
hasher = hashlib.sha1()
with io.open(a_file, "rb") as fh:
buf... |
def write_shas_to_shastore(sha_dict):
"""
Writes a sha1 dictionary stored in memory to
the .shastore file
"""
if sys.version_info[0] < 3:
fn_open = open
else:
fn_open = io.open
with fn_open(".shastore", "w") as fh:
fh.write("---\n")
fh.write('sake version: {}\... |
def take_shas_of_all_files(G, settings):
"""
Takes sha1 hash of all dependencies and outputs of all targets
Args:
The graph we are going to build
The settings dictionary
Returns:
A dictionary where the keys are the filenames and the
value is the sha1 hash
"""
gl... |
def needs_to_run(G, target, in_mem_shas, from_store, settings):
"""
Determines if a target needs to run. This can happen in two ways:
(a) If a dependency of the target has changed
(b) If an output of the target is missing
Args:
The graph we are going to build
The name of the target
... |
def run_commands(commands, settings):
"""
Runs the commands supplied as an argument
It will exit the program if the commands return a
non-zero code
Args:
the commands to run
The settings dictionary
"""
sprint = settings["sprint"]
quiet = settings["quiet"]
error = set... |
def run_the_target(G, target, settings):
"""
Wrapper function that sends to commands in a target's 'formula'
to run_commands()
Args:
The graph we are going to build
The target to run
The settings dictionary
"""
sprint = settings["sprint"]
sprint("Running target {}".f... |
def get_the_node_dict(G, name):
"""
Helper function that returns the node data
of the node with the name supplied
"""
for node in G.nodes(data=True):
if node[0] == name:
return node[1] |
def get_direct_ancestors(G, list_of_nodes):
"""
Returns a list of nodes that are the parents
from all of the nodes given as an argument.
This is for use in the parallel topo sort
"""
parents = []
for item in list_of_nodes:
anc = G.predecessors(item)
for one in anc:
... |
def get_sinks(G):
"""
A sink is a node with no children.
This means that this is the end of the line,
and it should be run last in topo sort. This
returns a list of all sinks in a graph
"""
sinks = []
for node in G:
if not len(list(G.successors(node))):
sinks.append(n... |
def get_levels(G):
"""
For the parallel topo sort to work, the targets have
to be executed in layers such that there is no
dependency relationship between any nodes in a layer.
What is returned is a list of lists representing all
the layers, or levels
"""
levels = []
ends = get_sinks... |
def remove_redundancies(levels):
"""
There are repeats in the output from get_levels(). We
want only the earliest occurrence (after it's reversed)
"""
seen = []
final = []
for line in levels:
new_line = []
for item in line:
if item not in seen:
see... |
def parallel_run_these(G, list_of_targets, in_mem_shas, from_store,
settings, dont_update_shas_of):
"""
The parallel equivalent of "run_this_target()"
It receives a list of targets to execute in parallel.
Unlike "run_this_target()" it has to update the shas
(in memory and in t... |
def merge_from_store_and_in_mems(from_store, in_mem_shas, dont_update_shas_of):
"""
If we don't merge the shas from the sha store and if we build a
subgraph, the .shastore will only contain the shas of the files
from the subgraph and the rest of the graph will have to be
rebuilt
"""
if not f... |
def build_this_graph(G, settings, dont_update_shas_of=None):
"""
This is the master function that performs the building.
Args:
A graph (often a subgraph)
The settings dictionary
An optional list of files to not update the shas of
(needed when building specific targets)
... |
def get_print_functions(settings):
"""
This returns the appropriate print functions
in a tuple
The print function are:
- sprint - for standard printing
- warn - for warnings
- error - for errors
This will all be the same if color is False.
The returned print functions wi... |
def find_standard_sakefile(settings):
"""Returns the filename of the appropriate sakefile"""
error = settings["error"]
if settings["customsake"]:
custom = settings["customsake"]
if not os.path.isfile(custom):
error("Specified sakefile '{}' doesn't exist", custom)
sys.... |
def clean_path(a_path, force_os=None, force_start=None):
"""
This function is used to normalize the path (of an output or
dependency) and also provide the path in relative form. It is
relative to the current working directory
"""
if not force_start:
force_start = os.curdir
if force_o... |
def get_help(sakefile):
"""
Returns the prettily formatted help strings (for printing)
Args:
A dictionary that is the parsed Sakefile (from sake.py)
NOTE:
the list sorting in this function is required for this
function to be deterministic
"""
full_string = "You can 'sak... |
def parse_defines(args):
"""
This parses a list of define argument in the form of -DNAME=VALUE or -DNAME (
which is treated as -DNAME=1).
"""
macros = {}
for arg in args:
try:
var, val = arg.split('=', 1)
except ValueError:
var = arg
val = '1'
... |
def expand_macros(raw_text, macros):
"""
this gets called before the sakefile is parsed. it looks for
macros defined anywhere in the sakefile (the start of the line
is '#!') and then replaces all occurences of '$variable' with the
value defined in the macro. it then returns the contents of the
f... |
def check_for_dep_in_outputs(dep, verbose, G):
"""
Function to help construct_graph() identify dependencies
Args:
A dependency
A flag indication verbosity
A (populated) NetworkX DiGraph
Returns:
A list of targets that build given dependency
"""
if verbose:
... |
def get_ties(G):
"""
If you specify a target that shares a dependency with another target,
both targets need to be updated. This is because running one will resolve
the sha mismatch and sake will think that the other one doesn't have to
run. This is called a "tie". This function will find such ties.... |
def get_tied_targets(original_targets, the_ties):
"""
This function gets called when a target is specified to ensure
that all 'tied' targets also get included in the subgraph to
be built
"""
my_ties = []
for original_target in original_targets:
for item in the_ties:
if or... |
def construct_graph(sakefile, settings):
"""
Takes the sakefile dictionary and builds a NetworkX graph
Args:
A dictionary that is the parsed Sakefile (from sake.py)
The settings dictionary
Returns:
A NetworkX graph
"""
verbose = settings["verbose"]
sprint = settings... |
def get_all_outputs(node_dict):
"""
This function takes a node dictionary and returns a list of
the node's output files. Some of the entries in the 'output'
attribute may be globs, and without this function, sake won't
know how to handle that. This will unglob all globs and return
the true list ... |
def get_all_dependencies(node_dict):
"""
...............................
"""
deplist = []
for item in node_dict['dependencies']:
glist = glob.glob(item)
if glist:
for oneglob in glist:
deplist.append(oneglob)
else:
deplist.append(item)
... |
def clean_all(G, settings):
"""
Removes all the output files from all targets. Takes
the graph as the only argument
Args:
The networkx graph object
The settings dictionary
Returns:
0 if successful
1 if removing even one file failed
"""
quiet = settings["quie... |
def write_dot_file(G, filename):
"""
Writes the graph G in dot file format for graphviz visualization.
Args:
a Networkx graph
A filename to name the dot files
"""
with io.open(filename, "w") as fh:
fh.write("strict digraph DependencyDiagram {\n")
edge_list = G.edges(... |
def visualize(G, settings, filename="dependencies", no_graphviz=False):
"""
Uses networkX to draw a graphviz dot file either (a) calls the
graphviz command "dot" to turn it into a SVG and remove the
dotfile (default), or (b) if no_graphviz is True, just output
the graphviz dot file
Args:
... |
def itertable(table):
"""Auxiliary function for iterating over a data table."""
for item in table:
res = {
k.lower(): nfd(v) if isinstance(v, text_type) else v for k, v in item.items()}
for extra in res.pop('extra', []):
k, _, v = extra.partition(':')
res[k.st... |
def _make_package(args): # pragma: no cover
"""Prepare transcriptiondata from the transcription sources."""
from lingpy.sequence.sound_classes import token2class
from lingpy.data import Model
columns = ['LATEX', 'FEATURES', 'SOUND', 'IMAGE', 'COUNT', 'NOTE']
bipa = TranscriptionSystem('bipa')
... |
def is_valid_sound(sound, ts):
"""Check the consistency of a given transcription system conversino"""
if isinstance(sound, (Marker, UnknownSound)):
return False
s1 = ts[sound.name]
s2 = ts[sound.s]
return s1.name == s2.name and s1.s == s2.s |
def resolve_sound(self, sound):
"""Function tries to identify a sound in the data.
Notes
-----
The function tries to resolve sounds to take a sound with less complex
features in order to yield the next approximate sound class, if the
transcription data are sound classes.... |
def _norm(self, string):
"""Extended normalization: normalize by list of norm-characers, split
by character "/"."""
nstring = norm(string)
if "/" in string:
s, t = string.split('/')
nstring = t
return self.normalize(nstring) |
def normalize(self, string):
"""Normalize the string according to normalization list"""
return ''.join([self._normalize.get(x, x) for x in nfd(string)]) |
def _from_name(self, string):
"""Parse a sound from its name"""
components = string.split(' ')
if frozenset(components) in self.features:
return self.features[frozenset(components)]
rest, sound_class = components[:-1], components[-1]
if sound_class in ['diphthong', 'c... |
def _parse(self, string):
"""Parse a string and return its features.
:param string: A one-symbol string in NFD
Notes
-----
Strategy is rather simple: we determine the base part of a string and
then search left and right of this part for the additional features as
... |
def resolve_sound(self, sound):
"""Function tries to identify a sound in the data.
Notes
-----
The function tries to resolve sounds to take a sound with less complex
features in order to yield the next approximate sound class, if the
transcription data are sound classes.... |
def ipfn_np(self, m, aggregates, dimensions, weight_col='total'):
"""
Runs the ipfn method from a matrix m, aggregates/marginals and the dimension(s) preserved.
For example:
from ipfn import ipfn
import numpy as np
m = np.array([[8., 4., 6., 7.], [3., 6., 5., 2.], [9., 11... |
def ipfn_df(self, df, aggregates, dimensions, weight_col='total'):
"""
Runs the ipfn method from a dataframe df, aggregates/marginals and the dimension(s) preserved.
For example:
from ipfn import ipfn
import pandas as pd
age = [30, 30, 30, 30, 40, 40, 40, 40, 50, 50, 50, ... |
def iteration(self):
"""
Runs the ipfn algorithm. Automatically detects of working with numpy ndarray or pandas dataframes.
"""
i = 0
conv = np.inf
old_conv = -np.inf
conv_list = []
m = self.original
# If the original data input is in pandas Data... |
def render(self, obj):
""" Render link as HTML output tag <a>.
"""
self.obj = obj
attrs = ' '.join([
'%s="%s"' % (attr_name, attr.resolve(obj))
if isinstance(attr, Accessor)
else '%s="%s"' % (attr_name, attr)
for attr_name, attr in self.att... |
def resolve(self, context, quiet=True):
"""
Return an object described by the accessor by traversing the attributes
of context.
"""
try:
obj = context
for level in self.levels:
if isinstance(obj, dict):
obj = ... |
def header_rows(self):
"""
[ [header1], [header3, header4] ]
"""
# TO BE FIX: refactor
header_rows = []
headers = [col.header for col in self.columns]
for header in headers:
if len(header_rows) <= header.row_order:
header_rows.append([]... |
def get_context_data(self, **kwargs):
"""
Get context data for datatable server-side response.
See http://www.datatables.net/usage/server-side
"""
sEcho = self.query_data["sEcho"]
context = super(BaseListView, self).get_context_data(**kwargs)
queryset = context["... |
def get_days_span(self, month_index):
"""
Calculate how many days the month spans.
"""
is_first_month = month_index == 0
is_last_month = month_index == self.__len__() - 1
y = int(self.start_date.year + (self.start_date.month + month_index) / 13)
m = int((self.sta... |
def _calculate_float(self, byte_array):
"""Returns an IEEE 754 float from an array of 4 bytes
:param byte_array: Expects an array of 4 bytes
:type byte_array: array
:rtype: float
"""
if len(byte_array) != 4:
return None
return struct.unpack('f', st... |
def _calculate_period(self, vals):
''' calculate the sampling period in seconds '''
if len(vals) < 4:
return None
if self.firmware['major'] < 16:
return ((vals[3] << 24) | (vals[2] << 16) | (vals[1] << 8) | vals[0]) / 12e6
else:
return self._calculate... |
def wait(self, **kwargs):
"""Wait for the OPC to prepare itself for data transmission. On some devides this can take a few seconds
:rtype: self
:Example:
>> alpha = opc.OPCN2(spi, debug=True).wait(check=200)
>> alpha = opc.OPCN2(spi, debug=True, wait=True, check=200)
"""
... |
def calculate_bin_boundary(self, bb):
"""Calculate the adc value that corresponds to a specific bin boundary diameter in microns.
:param bb: Bin Boundary in microns
:type bb: float
:rtype: int
"""
return min(enumerate(OPC_LOOKUP), key = lambda x: abs(x[1] ... |
def read_info_string(self):
"""Reads the information string for the OPC
:rtype: string
:Example:
>>> alpha.read_info_string()
'OPC-N2 FirmwareVer=OPC-018.2....................BD'
"""
infostring = []
# Send the command byte and sleep for 9 ms
se... |
def ping(self):
"""Checks the connection between the Raspberry Pi and the OPC
:rtype: Boolean
"""
b = self.cnxn.xfer([0xCF])[0] # send the command byte
sleep(0.1)
return True if b == 0xF3 else False |
def on(self):
"""Turn ON the OPC (fan and laser)
:rtype: boolean
:Example:
>>> alpha.on()
True
"""
b1 = self.cnxn.xfer([0x03])[0] # send the command byte
sleep(9e-3) # sleep for 9 ms
b2, b3 = self.cnxn.xfer([... |
def off(self):
"""Turn OFF the OPC (fan and laser)
:rtype: boolean
:Example:
>>> alpha.off()
True
"""
b1 = self.cnxn.xfer([0x03])[0] # send the command byte
sleep(9e-3) # sleep for 9 ms
b2 = self.cnxn.xfer([0... |
def config(self):
"""Read the configuration variables and returns them as a dictionary
:rtype: dictionary
:Example:
>>> alpha.config()
{
'BPD 13': 1.6499,
'BPD 12': 1.6499,
'BPD 11': 1.6499,
'BPD 10': 1.6499,
'BPD 15'... |
def config2(self):
"""Read the second set of configuration variables and return as a dictionary.
**NOTE: This method is supported by firmware v18+.**
:rtype: dictionary
:Example:
>>> a.config2()
{
'AMFanOnIdle': 0,
'AMIdleIntervalCount': 0,
... |
def histogram(self, number_concentration=True):
"""Read and reset the histogram. As of v1.3.0, histogram
values are reported in particle number concentration (#/cc) by default.
:param number_concentration: If true, histogram bins are reported in number concentration vs. raw values.
:ty... |
def save_config_variables(self):
"""Save the configuration variables in non-volatile memory. This method
should be used in conjuction with *write_config_variables*.
:rtype: boolean
:Example:
>>> alpha.save_config_variables()
True
"""
command = 0x43
... |
def set_fan_power(self, power):
"""Set only the Fan power.
:param power: Fan power value as an integer between 0-255.
:type power: int
:rtype: boolean
:Example:
>>> alpha.set_fan_power(255)
True
"""
# Check to make sure the value is a single b... |
def toggle_laser(self, state):
"""Toggle the power state of the laser.
:param state: Boolean state of the laser
:type state: boolean
:rtype: boolean
:Example:
>>> alpha.toggle_laser(True)
True
"""
# Send the command byte and wait 10 ms
... |
def read_pot_status(self):
"""Read the status of the digital pot. Firmware v18+ only.
The return value is a dictionary containing the following as
unsigned 8-bit integers: FanON, LaserON, FanDACVal, LaserDACVal.
:rtype: dict
:Example:
>>> alpha.read_pot_status()
... |
def sn(self):
"""Read the Serial Number string. This method is only available on OPC-N2
firmware versions 18+.
:rtype: string
:Example:
>>> alpha.sn()
'OPC-N2 123456789'
"""
string = []
# Send the command byte and sleep for 9 ms
self.cn... |
def read_firmware(self):
"""Read the firmware version of the OPC-N2. Firmware v18+ only.
:rtype: dict
:Example:
>>> alpha.read_firmware()
{
'major': 18,
'minor': 2,
'version': 18.2
}
"""
# Send the command byte and sl... |
def pm(self):
"""Read the PM data and reset the histogram
**NOTE: This method is supported by firmware v18+.**
:rtype: dictionary
:Example:
>>> alpha.pm()
{
'PM1': 0.12,
'PM2.5': 0.24,
'PM10': 1.42
}
"""
res... |
def on(self):
"""Turn ON the OPC (fan and laser)
:returns: boolean success state
"""
b1 = self.cnxn.xfer([0x0C])[0] # send the command byte
sleep(9e-3) # sleep for 9 ms
return True if b1 == 0xF3 else False |
def off(self):
"""Turn OFF the OPC (fan and laser)
:returns: boolean success state
"""
b1 = self.cnxn.xfer([0x03])[0] # send the command byte
sleep(9e-3) # sleep for 9 ms
return True if b1 == 0xF3 else False |
def read_gsc_sfr(self):
"""Read the gain-scaling-coefficient and sample flow rate.
:returns: dictionary containing GSC and SFR
"""
config = []
data = {}
# Send the command byte and sleep for 10 ms
self.cnxn.xfer([0x33])
sleep(10e-3)
# Read t... |
def read_bin_boundaries(self):
"""Return the bin boundaries.
:returns: dictionary with 17 bin boundaries.
"""
config = []
data = {}
# Send the command byte and sleep for 10 ms
self.cnxn.xfer([0x33])
sleep(10e-3)
# Read the config variables b... |
def read_bin_particle_density(self):
"""Read the bin particle density
:returns: float
"""
config = []
# Send the command byte and sleep for 10 ms
self.cnxn.xfer([0x33])
sleep(10e-3)
# Read the config variables by sending 256 empty bytes
for i in... |
def read_histogram(self):
"""Read and reset the histogram. The expected return is a dictionary
containing the counts per bin, MToF for bins 1, 3, 5, and 7, temperature,
pressure, the sampling period, the checksum, PM1, PM2.5, and PM10.
**NOTE:** The sampling period for the OPCN1 seems t... |
def start(self):
"""
Starts HDLC controller's threads.
"""
self.receiver = self.Receiver(
self.read,
self.write,
self.send_lock,
self.senders,
self.frames_received,
callback=self.receive_callback,
fcs_na... |
def stop(self):
"""
Stops HDLC controller's threads.
"""
if self.receiver != None:
self.receiver.join()
for s in self.senders.values():
s.join() |
def send(self, data):
"""
Sends a new data frame.
This method will block until a new room is available for
a new sender. This limit is determined by the size of the window.
"""
while len(self.senders) >= self.window:
pass
self.senders[self.new_seq_n... |
def cmp(self, other):
"""*Note: checks Range.start() only*
Key: self = [], other = {}
* [ {----]----} => -1
* {---[---} ] => 1
* [---] {---} => -1
* [---] same as {---} => 0
* [--{-}--] => -1
"""
if isinstance(other, Range):... |
def cut(self, by, from_start=True):
""" Cuts this object from_start to the number requestd
returns new instance
"""
s, e = copy(self.start), copy(self.end)
if from_start:
e = s + by
else:
s = e - by
return Range(s, e) |
def next(self, times=1):
"""Returns a new instance of self
times is not supported yet.
"""
return Range(copy(self.end),
self.end + self.elapse, tz=self.start.tz) |
def prev(self, times=1):
"""Returns a new instance of self
times is not supported yet.
"""
return Range(self.start - self.elapse,
copy(self.start), tz=self.start.tz) |
def replace(self, **k):
"""Note returns a new Date obj"""
if self.date != 'infinity':
return Date(self.date.replace(**k))
else:
return Date('infinity') |
def adjust(self, to):
'''
Adjusts the time from kwargs to timedelta
**Will change this object**
return new copy of self
'''
if self.date == 'infinity':
return
new = copy(self)
if type(to) in (str, unicode):
to = to.lower()
... |
def findall(text):
"""Find all the timestrings within a block of text.
>>> timestring.findall("once upon a time, about 3 weeks ago, there was a boy whom was born on august 15th at 7:20 am. epic.")
[
('3 weeks ago,', <timestring.Date 2014-02-09 00:00:00 4483019280>),
('august 15th at 7:20 am', <ti... |
def authenticate(self, request):
"""
Returns two-tuple of (user, token) if authentication succeeds,
or None otherwise.
"""
try:
oauth_request = oauth_provider.utils.get_oauth_request(request)
except oauth.Error as err:
raise exceptions.Authenticati... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.