text_prompt stringlengths 157 13.1k | code_prompt stringlengths 7 19.8k ⌀ |
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Description:
| def assumes(*args):
'''Stores a function's assumptions as an attribute.'''
args = tuple(args)
def decorator(func):
func.assumptions = args
return func
return decorator |
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Description:
| def overridden_by_assumptions(*args):
'''Stores what assumptions a function is overridden by as an attribute.'''
args = tuple(args)
def decorator(func):
func.overridden_by_assumptions = args
return func
return decorator |
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Description:
| def equation_docstring(quantity_dict, assumption_dict,
equation=None, references=None, notes=None):
'''
Creates a decorator that adds a docstring to an equation function.
Parameters
----------
quantity_dict : dict
A dictionary describing the quantities used in the equations. Its keys
... |
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def sma(array, window_size, axis=-1, mode='reflect', **kwargs):
""" Computes a 1D simple moving average along the given axis. Parameters array : ndarray Array on... |
kwargs['axis'] = axis
kwargs['mode'] = mode
if not isinstance(window_size, int):
raise TypeError('window_size must be an integer')
if not isinstance(kwargs['axis'], int):
raise TypeError('axis must be an integer')
return convolve1d(array, np.repeat(1.0, window_size)/window_size, **k... |
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Description:
| def assumption_list_string(assumptions, assumption_dict):
'''
Takes in a list of short forms of assumptions and an assumption
dictionary, and returns a "list" form of the long form of the
assumptions.
Raises
------
ValueError
if one of the assumptions is not in assumption_dict.
'''
if isinstance(assump... |
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Description:
| def quantity_spec_string(name, quantity_dict):
'''
Returns a quantity specification for docstrings.
Example
-------
>>> quantity_spec_string('Tv')
>>> 'Tv : float or ndarray\n Data for virtual temperature.'
'''
if name not in quantity_dict.keys():
raise ValueError('{0} not present in quantity_d... |
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Description:
| def doc_paragraph(s, indent=0):
'''Takes in a string without wrapping corresponding to a paragraph,
and returns a version of that string wrapped to be at most 80
characters in length on each line.
If indent is given, ensures each line is indented to that number
of spaces.
'''
ret... |
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Description:
| def closest_val(x, L):
'''
Finds the index value in an iterable closest to a desired value.
Parameters
----------
x : object
The desired value.
L : iterable
The iterable in which to search for the desired value.
Returns
-------
index : int
The index of the c... |
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Description:
| def area_poly_sphere(lat, lon, r_sphere):
'''
Calculates the area enclosed by an arbitrary polygon on the sphere.
Parameters
----------
lat : iterable
The latitudes, in degrees, of the vertex locations of the polygon, in
clockwise order.
lon : iterable
The longitudes, in degrees, of the vertex locatio... |
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Description:
| def d_x(data, axis, boundary='forward-backward'):
'''
Calculates a second-order centered finite difference of data along the
specified axis.
Parameters
----------
data : ndarray
Data on which we are taking a derivative.
axis : int
Index of the data array on which to take the difference.
boundary : string,... |
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Description:
| def semilogy(self, p, T, *args, **kwargs):
r'''Plot data.
Simple wrapper around plot so that pressure is the first (independent)
input. This is essentially a wrapper around `semilogy`.
Parameters
----------
p : array_like
pressure values
T : array_li... |
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| def plot_barbs(self, p, u, v, xloc=1.0, x_clip_radius=0.08,
y_clip_radius=0.08, **kwargs):
r'''Plot wind barbs.
Adds wind barbs to the skew-T plot. This is a wrapper around the
`barbs` command that adds to appropriate transform to place the
barbs in a vertical line, l... |
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Description:
| def plot_dry_adiabats(self, p=None, theta=None, **kwargs):
r'''Plot dry adiabats.
Adds dry adiabats (lines of constant potential temperature) to the
plot. The default style of these lines is dashed red lines with an
alpha value of 0.5. These can be overridden using keyword arguments.
... |
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Description:
| def plot_mixing_lines(self, p=None, rv=None, **kwargs):
r'''Plot lines of constant mixing ratio.
Adds lines of constant mixing ratio (isohumes) to the
plot. The default style of these lines is dashed green lines with an
alpha value of 0.8. These can be overridden using keyword arguments... |
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Description:
| def get_calculatable_quantities(inputs, methods):
'''
Given an interable of input quantity names and a methods dictionary,
returns a list of output quantities that can be calculated.
'''
output_quantities = []
updated = True
while updated:
updated = False
for output in method... |
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| def _get_methods_that_calculate_outputs(inputs, outputs, methods):
'''
Given iterables of input variable names, output variable names,
and a methods dictionary, returns the subset of the methods dictionary
that can be calculated, doesn't calculate something we already have,
and only contains equatio... |
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Description:
| def _get_calculatable_methods_dict(inputs, methods):
'''
Given an iterable of input variable names and a methods dictionary,
returns the subset of that methods dictionary that can be calculated and
which doesn't calculate something we already have. Additionally it may
only contain one method for any... |
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Description:
| def _get_module_methods(module):
'''
Returns a methods list corresponding to the equations in the given
module. Each entry is a dictionary with keys 'output', 'args', and
'func' corresponding to the output, arguments, and function of the
method. The entries may optionally include 'assumptions' and
... |
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| def _check_scalar(value):
'''If value is a 0-dimensional array, returns the contents of value.
Otherwise, returns value.
'''
if isinstance(value, np.ndarray):
if value.ndim == 0:
# We have a 0-dimensional array
return value[None][0]
return value |
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Description:
| def calculate(*args, **kwargs):
'''
Calculates and returns a requested quantity from quantities passed in as
keyword arguments.
Parameters
----------
\*args : string
Names of quantities to be calculated.
assumptions : tuple, optional
Strings specifying which assumptions to enable. Overrides the default
... |
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Description:
def ip():
"""Show ip address.""" |
ok, err = _hack_ip()
if not ok:
click.secho(click.style(err, fg='red'))
sys.exit(1)
click.secho(click.style(err, fg='green')) |
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def wp(ssid):
"""Show wifi password.""" |
if not ssid:
ok, err = _detect_wifi_ssid()
if not ok:
click.secho(click.style(err, fg='red'))
sys.exit(1)
ssid = err
ok, err = _hack_wifi_password(ssid)
if not ok:
click.secho(click.style(err, fg='red'))
sys.exit(1)
click.secho(click.style... |
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Description:
def build_url(self):
"""Builds the URL for elevations API services based on the data given by the user. Returns: url (str):
URL for the elevations API services ... |
url = '{protocol}/{url}/{rest}/{version}/{restapi}/{rscpath}/' \
'{query}'.format(protocol=self.schema.protocol,
url=self.schema.main_url,
rest=self.schema.rest,
version=self.schema.version,
... |
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def zoomlevel(self):
"""Retrieves zoomlevel from the output response Returns: zoomlevel (namedtuple):
A namedtuple of zoomlevel from the output response """ |
resources = self.get_resource()
zoomlevel = namedtuple('zoomlevel', 'zoomLevel')
try:
return [zoomlevel(resource['zoomLevel'])
for resource in resources]
except TypeError:
try:
if isinstance(resources['ElevationData'], dict):
... |
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def to_json_file(self, path, file_name=None):
"""Writes output to a JSON file with the given file name""" |
if bool(path) and os.path.isdir(path):
self.write_to_json(path, file_name)
else:
self.write_to_json(os.getcwd(), file_name) |
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def get_data(self):
"""Gets data from the built url""" |
url = self.build_url()
self.locationApiData = requests.get(url)
if not self.locationApiData.status_code == 200:
raise self.locationApiData.raise_for_status() |
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def update_compaction(model):
"""Updates the compaction options for the given model if necessary. :param model: The model to update. :return: `True`, if the comp... |
logger.debug("Checking %s for compaction differences", model)
table = get_table_settings(model)
existing_options = table.options.copy()
existing_compaction_strategy = existing_options['compaction_strategy_class']
existing_options = json.loads(existing_options['compaction_strategy_options'])
... |
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def setup( hosts, default_keyspace, consistency=ConsistencyLevel.ONE, lazy_connect=False, retry_connect=False, **kwargs):
""" Records the hosts and connects to o... |
global cluster, session, default_consistency_level, lazy_connect_args
if 'username' in kwargs or 'password' in kwargs:
raise CQLEngineException("Username & Password are now handled by using the native driver's auth_provider")
if not default_keyspace:
raise UndefinedKeyspaceException()
... |
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def validate(self, value):
""" Returns a cleaned and validated value. Raises a ValidationError if there's a problem """ |
if value is None:
if self.required:
raise ValidationError('{} - None values are not allowed'.format(self.column_name or self.db_field))
return value |
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Description:
def from_datetime(self, dt):
""" generates a UUID for a given datetime :param dt: datetime :type dt: datetime :return: """ |
global _last_timestamp
epoch = datetime(1970, 1, 1, tzinfo=dt.tzinfo)
offset = epoch.tzinfo.utcoffset(epoch).total_seconds() if epoch.tzinfo else 0
timestamp = (dt - epoch).total_seconds() - offset
node = None
clock_seq = None
nanoseconds = int(timestamp * 1e... |
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def _can_update(self):
""" Called by the save function to check if this should be persisted with update or insert :return: """ |
if not self._is_persisted: return False
pks = self._primary_keys.keys()
return all([not self._values[k].changed for k in self._primary_keys]) |
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def delete(self):
""" Deletes this instance """ |
self.__dmlquery__(self.__class__, self,
batch=self._batch,
timestamp=self._timestamp,
consistency=self.__consistency__,
timeout=self._timeout).delete() |
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def filter(self, *args, **kwargs):
""" Adds WHERE arguments to the queryset, returning a new queryset #TODO: show examples :rtype: AbstractQuerySet """ |
#add arguments to the where clause filters
if len([x for x in kwargs.values() if x is None]):
raise CQLEngineException("None values on filter are not allowed")
clone = copy.deepcopy(self)
for operator in args:
if not isinstance(operator, WhereClause):
... |
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def order_by(self, *colnames):
""" orders the result set. ordering can only use clustering columns. Default order is ascending, prepend a '-' to the column name ... |
if len(colnames) == 0:
clone = copy.deepcopy(self)
clone._order = []
return clone
conditions = []
for colname in colnames:
conditions.append('"{}" {}'.format(*self._get_ordering_condition(colname)))
clone = copy.deepcopy(self)
cl... |
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def count(self):
""" Returns the number of rows matched by this query """ |
if self._batch:
raise CQLEngineException("Only inserts, updates, and deletes are available in batch mode")
if self._result_cache is None:
query = self._select_query()
query.count = True
result = self._execute(query)
return result[0]['count']
... |
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def limit(self, v):
""" Sets the limit on the number of results returned CQL has a default limit of 10,000 """ |
if not (v is None or isinstance(v, six.integer_types)):
raise TypeError
if v == self._limit:
return self
if v < 0:
raise QueryException("Negative limit is not allowed")
clone = copy.deepcopy(self)
clone._limit = v
return clone |
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def update(self, **values):
""" Updates the rows in this queryset """ |
if not values:
return
nulled_columns = set()
us = UpdateStatement(self.column_family_name, where=self._where, ttl=self._ttl,
timestamp=self._timestamp, transactions=self._transaction)
for name, val in values.items():
col_name, col_op... |
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def handle(client, request):
""" Handle format request request struct: { 'data': 'data_need_format', 'formaters': [ { 'name': 'formater_name', 'config': {} # Non... |
formaters = request.get('formaters', None)
if not formaters:
formaters = [{'name': 'autopep8'}]
logging.debug('formaters: ' + json.dumps(formaters, indent=4))
data = request.get('data', None)
if not isinstance(data, str):
return send(client, 'invalid data', None)
max_line_lengt... |
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def easeInOutQuad(n):
"""A quadratic tween function that accelerates, reaches the midpoint, and then decelerates. Args: n (float):
The time progress, starting a... |
_checkRange(n)
if n < 0.5:
return 2 * n**2
else:
n = n * 2 - 1
return -0.5 * (n*(n-2) - 1) |
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def easeInOutCubic(n):
"""A cubic tween function that accelerates, reaches the midpoint, and then decelerates. Args: n (float):
The time progress, starting at 0... |
_checkRange(n)
n = 2 * n
if n < 1:
return 0.5 * n**3
else:
n = n - 2
return 0.5 * (n**3 + 2) |
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def easeInOutQuart(n):
"""A quartic tween function that accelerates, reaches the midpoint, and then decelerates. Args: n (float):
The time progress, starting at... |
_checkRange(n)
n = 2 * n
if n < 1:
return 0.5 * n**4
else:
n = n - 2
return -0.5 * (n**4 - 2) |
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def easeInOutQuint(n):
"""A quintic tween function that accelerates, reaches the midpoint, and then decelerates. Args: n (float):
The time progress, starting at... |
_checkRange(n)
n = 2 * n
if n < 1:
return 0.5 * n**5
else:
n = n - 2
return 0.5 * (n**5 + 2) |
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def easeInOutExpo(n):
"""An exponential tween function that accelerates, reaches the midpoint, and then decelerates. Args: n (float):
The time progress, startin... |
_checkRange(n)
if n == 0:
return 0
elif n == 1:
return 1
else:
n = n * 2
if n < 1:
return 0.5 * 2**(10 * (n - 1))
else:
n -= 1
# 0.5 * (-() + 2)
return 0.5 * (-1 * (2 ** (-10 * n)) + 2) |
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def easeInOutCirc(n):
"""A circular tween function that accelerates, reaches the midpoint, and then decelerates. Args: n (float):
The time progress, starting at... |
_checkRange(n)
n = n * 2
if n < 1:
return -0.5 * (math.sqrt(1 - n**2) - 1)
else:
n = n - 2
return 0.5 * (math.sqrt(1 - n**2) + 1) |
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def easeInElastic(n, amplitude=1, period=0.3):
"""An elastic tween function that begins with an increasing wobble and then snaps into the destination. Args: n (f... |
_checkRange(n)
return 1 - easeOutElastic(1-n, amplitude=amplitude, period=period) |
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def easeOutElastic(n, amplitude=1, period=0.3):
"""An elastic tween function that overshoots the destination and then "rubber bands" into the destination. Args: ... |
_checkRange(n)
if amplitude < 1:
amplitude = 1
s = period / 4
else:
s = period / (2 * math.pi) * math.asin(1 / amplitude)
return amplitude * 2**(-10*n) * math.sin((n-s)*(2*math.pi / period)) + 1 |
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def easeInOutElastic(n, amplitude=1, period=0.5):
"""An elastic tween function wobbles towards the midpoint. Args: n (float):
The time progress, starting at 0.0... |
_checkRange(n)
n *= 2
if n < 1:
return easeInElastic(n, amplitude=amplitude, period=period) / 2
else:
return easeOutElastic(n-1, amplitude=amplitude, period=period) / 2 + 0.5 |
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def easeInBack(n, s=1.70158):
"""A tween function that backs up first at the start and then goes to the destination. Args: n (float):
The time progress, startin... |
_checkRange(n)
return n * n * ((s + 1) * n - s) |
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def easeOutBack(n, s=1.70158):
"""A tween function that overshoots the destination a little and then backs into the destination. Args: n (float):
The time progr... |
_checkRange(n)
n = n - 1
return n * n * ((s + 1) * n + s) + 1 |
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Description:
def easeInOutBack(n, s=1.70158):
"""A "back-in" tween function that overshoots both the start and destination. Args: n (float):
The time progress, starting at 0... |
_checkRange(n)
n = n * 2
if n < 1:
s *= 1.525
return 0.5 * (n * n * ((s + 1) * n - s))
else:
n -= 2
s *= 1.525
return 0.5 * (n * n * ((s + 1) * n + s) + 2) |
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Description:
def easeOutBounce(n):
"""A bouncing tween function that hits the destination and then bounces to rest. Args: n (float):
The time progress, starting at 0.0 and e... |
_checkRange(n)
if n < (1/2.75):
return 7.5625 * n * n
elif n < (2/2.75):
n -= (1.5/2.75)
return 7.5625 * n * n + 0.75
elif n < (2.5/2.75):
n -= (2.25/2.75)
return 7.5625 * n * n + 0.9375
else:
n -= (2.65/2.75)
return 7.5625 * n * n + 0.984375 |
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| def formfield_for_manytomany(self, db_field, request, **kwargs):
'''
Not all Admin subclasses use get_field_queryset here, so we will use it explicitly
'''
db = kwargs.get('using')
kwargs['queryset'] = kwargs.get('queryset', self.get_field_queryset(db, db_field, request))
... |
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Description:
| def delete_selected(self, request, queryset):
'''
The real delete function always evaluated either from the action, or from the instance delete link
'''
opts = self.model._meta
app_label = opts.app_label
# Populate deletable_objects, a data structure of all related objec... |
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def get_deleted_objects(self, request, queryset):
""" Find all objects related to instances of ``queryset`` that should also be deleted. Returns - to_delete - a ... |
collector = NestedObjects(using=queryset.db)
collector.collect(queryset)
model_perms_needed = set()
object_perms_needed = set()
STRONG_DELETION_CONTROL = getattr(settings, 'ACCESS_STRONG_DELETION_CONTROL', False)
def format_callback(obj):
has_admin = obj.__... |
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| def register_plugins(cls, plugins):
'''
Reguster plugins. The plugins parameter should be dict mapping model to plugin.
Just calls a register_plugin for every such a pair.
'''
for model in plugins:
cls.register_plugin(model, plugins[model]) |
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| def register_plugin(cls, model, plugin):
'''
Reguster a plugin for the model.
The only one plugin can be registered. If you want to combine plugins, use CompoundPlugin.
'''
logger.info("Plugin registered for %s: %s", model, plugin)
cls.plugins[model] = plugin |
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| def get_default_plugin(cls):
'''
Return a default plugin.
'''
from importlib import import_module
from django.conf import settings
default_plugin = getattr(settings, 'ACCESS_DEFAULT_PLUGIN', "access.plugins.DjangoAccessPlugin")
if default_plugin not in cls.default... |
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| def plugin_for(cls, model):
'''
Find and return a plugin for this model. Uses inheritance to find a model where the plugin is registered.
'''
logger.debug("Getting a plugin for: %s", model)
if not issubclass(model, Model):
return
if model in cls.plugins:
... |
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| def visible(self, request):
'''
Checks the both, check_visible and apply_visible, against the owned model and it's instance set
'''
return self.apply_visible(self.get_queryset(), request) if self.check_visible(self.model, request) is not False else self.get_queryset().none() |
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| def changeable(self, request):
'''
Checks the both, check_changeable and apply_changeable, against the owned model and it's instance set
'''
return self.apply_changeable(self.get_queryset(), request) if self.check_changeable(self.model, request) is not False else self.get_queryset().none... |
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| def deleteable(self, request):
'''
Checks the both, check_deleteable and apply_deleteable, against the owned model and it's instance set
'''
return self.apply_deleteable(self.get_queryset(), request) if self.check_deleteable(self.model, request) is not False else self.get_queryset().none... |
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def get_plugin_from_string(plugin_name):
""" Returns plugin or plugin point class from given ``plugin_name`` string. Example of ``plugin_name``:: 'my_app.MyPlugi... |
modulename, classname = plugin_name.rsplit('.', 1)
module = import_module(modulename)
return getattr(module, classname) |
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def make_pdf(dist, params, size=10000):
"""Generate distributions's Propbability Distribution Function """ |
# Separate parts of parameters
arg = params[:-2]
loc = params[-2]
scale = params[-1]
# Get sane start and end points of distribution
start = dist.ppf(0.01, *arg, loc=loc, scale=scale) if arg else dist.ppf(0.01, loc=loc, scale=scale)
end = dist.ppf(0.99, *arg, loc=loc, scale=scale) if arg ... |
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def urlencode(query, params):
""" Correctly convert the given query and parameters into a full query+query string, ensuring the order of the params. """ |
return query + '?' + "&".join(key+'='+quote_plus(str(value))
for key, value in params) |
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| def _load_from_string(data):
'''Loads the cache from the string'''
global _CACHE
if PYTHON_3:
data = json.loads(data.decode("utf-8"))
else:
data = json.loads(data)
_CACHE = _recursively_convert_unicode_to_str(data)['data'] |
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def get_model(cls, name=None, status=ENABLED):
""" Returns model instance of plugin point or plugin, depending from which class this methos is called. Example:: ... |
ppath = cls.get_pythonpath()
if is_plugin_point(cls):
if name is not None:
kwargs = {}
if status is not None:
kwargs['status'] = status
return Plugin.objects.get(point__pythonpath=ppath,
... |
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def get_point_model(cls):
""" Returns plugin point model instance. Only used from plugin classes. """ |
if is_plugin_point(cls):
raise Exception(_('This method is only available to plugin '
'classes.'))
else:
return PluginPointModel.objects.\
get(plugin__pythonpath=cls.get_pythonpath()) |
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def get_plugins(cls):
""" Returns all plugin instances of plugin point, passing all args and kwargs to plugin constructor. """ |
# Django >= 1.9 changed something with the migration logic causing
# plugins to be executed before the corresponding database tables
# exist. This method will only return something if the database
# tables have already been created.
# XXX: I don't fully understand the issue and ... |
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def get_plugins_qs(cls):
""" Returns query set of all plugins belonging to plugin point. Example:: for plugin_instance in MyPluginPoint.get_plugins_qs():
print(... |
if is_plugin_point(cls):
point_pythonpath = cls.get_pythonpath()
return Plugin.objects.filter(point__pythonpath=point_pythonpath,
status=ENABLED).\
order_by('index')
else:
raise Exception(_('This method is only... |
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def safeunicode(arg, *args, **kwargs):
"""Coerce argument to unicode, if it's not already.""" |
return arg if isinstance(arg, unicode) else unicode(arg, *args, **kwargs) |
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def get_reports():
""" Returns energy data from 1960 to 2014 across various factors. """ |
if False:
# If there was a Test version of this method, it would go here. But alas.
pass
else:
rows = _Constants._DATABASE.execute("SELECT data FROM energy".format(
hardware=_Constants._HARDWARE))
data = [r[0] for r in rows]
data = [_Auxiliary._byteify(_json.... |
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def available(self, src, dst, model):
""" Iterate over all registered plugins or plugin points and prepare to add them to database. """ |
for name, point in six.iteritems(src):
inst = dst.pop(name, None)
if inst is None:
self.print_(1, "Registering %s for %s" % (model.__name__,
name))
inst = model(pythonpath=name)
if inst... |
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def missing(self, dst):
""" Mark all missing plugins, that exists in database, but are not registered. """ |
for inst in six.itervalues(dst):
if inst.status != REMOVED:
inst.status = REMOVED
inst.save() |
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def all(self):
""" Synchronize all registered plugins and plugin points to database. """ |
# Django >= 1.9 changed something with the migration logic causing
# plugins to be executed before the corresponding database tables
# exist. This method will only return something if the database
# tables have already been created.
# XXX: I don't fully understand the issue and ... |
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def get_weather(test=False):
""" Returns weather reports from the dataset. """ |
if _Constants._TEST or test:
rows = _Constants._DATABASE.execute("SELECT data FROM weather LIMIT {hardware}".format(
hardware=_Constants._HARDWARE))
data = [r[0] for r in rows]
data = [_Auxiliary._byteify(_json.loads(r)) for r in data]
return _Auxiliary._byteify... |
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| def _get(self, url, **kw):
'''
Makes a GET request, setting Authorization
header by default
'''
headers = kw.pop('headers', {})
headers.setdefault('Content-Type', 'application/json')
headers.setdefault('Accept', 'application/json')
headers.setdefault('Auth... |
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| def _post(self, url, **kw):
'''
Makes a POST request, setting Authorization
header by default
'''
headers = kw.pop('headers', {})
headers.setdefault('Authorization', self.AUTHORIZATION_HEADER)
kw['headers'] = headers
resp = self.session.post(url, **kw)
... |
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| def _post_json(self, url, data, **kw):
'''
Makes a POST request, setting Authorization
and Content-Type headers by default
'''
data = json.dumps(data)
headers = kw.pop('headers', {})
headers.setdefault('Content-Type', 'application/json')
headers.setdefault... |
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| def authenticate(self, login=None, password=None):
'''
Authenticated this client instance.
``login`` and ``password`` default to the environment
variables ``MS_LOGIN`` and ``MS_PASSWD`` respectively.
:param login: Email address associated with a microsoft account
:para... |
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| def from_xuid(cls, xuid):
'''
Instantiates an instance of ``GamerProfile`` from
an xuid
:param xuid: Xuid to look up
:raises: :class:`~xbox.exceptions.GamertagNotFound`
:returns: :class:`~xbox.GamerProfile` instance
'''
url = 'https://profile.xboxlive.... |
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| def from_gamertag(cls, gamertag):
'''
Instantiates an instance of ``GamerProfile`` from
a gamertag
:param gamertag: Gamertag to look up
:raises: :class:`~xbox.exceptions.GamertagNotFound`
:returns: :class:`~xbox.GamerProfile` instance
'''
url = 'https:/... |
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| def get(cls, xuid, scid, clip_id):
'''
Gets a specific game clip
:param xuid: xuid of an xbox live user
:param scid: scid of a clip
:param clip_id: id of a clip
'''
url = (
'https://gameclipsmetadata.xboxlive.com/users'
'/xuid(%(xuid)s)/sc... |
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| def saved_from_user(cls, user, include_pending=False):
'''
Gets all clips 'saved' by a user.
:param user: :class:`~xbox.GamerProfile` instance
:param bool include_pending: whether to ignore clips that are not
yet uploaded. These clips will have thumbnails and media_url
... |
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def prepare_url(self, url, params):
"""Prepares the given HTTP URL.""" |
url = to_native_string(url)
# Don't do any URL preparation for non-HTTP schemes like `mailto`,
# `data` etc to work around exceptions from `url_parse`, which
# handles RFC 3986 only.
if ':' in url and not url.lower().startswith('http'):
self.url = url
re... |
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def description_of(file, name='stdin'):
"""Return a string describing the probable encoding of a file.""" |
u = UniversalDetector()
for line in file:
u.feed(line)
u.close()
result = u.result
if result['encoding']:
return '%s: %s with confidence %s' % (name,
result['encoding'],
result['confidence'])... |
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| def run(self):
'''
Download the video.
'''
#Callback
self._debug('Provider', 'run', 'Running pre-download callback.')
self._pre_download()
url = None
out = None
success = False
try:
url = Provider._download(self.get_download_u... |
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| def dumps(obj, **kwargs):
''' Serialize `obj` to a JSON formatted `str`. Accepts the same arguments
as `json` module in stdlib.
:param obj: a JSON serializable Python object.
:param kwargs: all the arguments that `json.dumps <http://docs.python.org/
2/library/json.html#json.dumps>`_ ... |
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def prepend_name_prefix(func):
""" Decorator that wraps instance methods to prepend the instance's filename prefix to the beginning of the referenced filename. M... |
@wraps(func)
def prepend_prefix(self, name, *args, **kwargs):
name = self.name_prefix + name
return func(self, name, *args, **kwargs)
return prepend_prefix |
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def get_chalk(level):
"""Gets the appropriate piece of chalk for the logging level """ |
if level >= logging.ERROR:
_chalk = chalk.red
elif level >= logging.WARNING:
_chalk = chalk.yellow
elif level >= logging.INFO:
_chalk = chalk.blue
elif level >= logging.DEBUG:
_chalk = chalk.green
else:
_chalk = chalk.white
return _chalk |
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def to_str(obj):
"""Attempts to convert given object to a string object """ |
if not isinstance(obj, str) and PY3 and isinstance(obj, bytes):
obj = obj.decode('utf-8')
return obj if isinstance(obj, string_types) else str(obj) |
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def get_color(self, value):
"""Helper method to validate and map values used in the instantiation of of the Color object to the correct unicode value. """ |
if value in COLOR_SET:
value = COLOR_MAP[value]
else:
try:
value = int(value)
if value >= 8:
raise ValueError()
except ValueError as exc:
raise ValueError(
'Colors should either a... |
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def shuffle(self, overwrite=False):
""" This method creates new shuffled file. """ |
if overwrite:
shuffled = self.path
else:
shuffled = FileAPI.add_ext_name(self.path, "_shuffled")
lines = open(self.path).readlines()
random.shuffle(lines)
open(shuffled, "w").writelines(lines)
self.path = shuffled |
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def multiple_files_count_reads_in_windows(bed_files, args):
# type: (Iterable[str], Namespace) -> OrderedDict[str, List[pd.DataFrame]] """Use count_reads on mult... |
bed_windows = OrderedDict() # type: OrderedDict[str, List[pd.DataFrame]]
for bed_file in bed_files:
logging.info("Binning " + bed_file)
if ".bedpe" in bed_file:
chromosome_dfs = count_reads_in_windows_paired_end(bed_file, args)
else:
chromosome_dfs = count_reads... |
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def _merge_files(windows, nb_cpu):
# type: (Iterable[pd.DataFrame], int) -> pd.DataFrame """Merge lists of chromosome bin df chromosome-wise. windows is an Order... |
# windows is a list of chromosome dfs per file
windows = iter(windows) # can iterate over because it is odict_values
merged = next(windows)
# if there is only one file, the merging is skipped since the windows is used up
for chromosome_dfs in windows:
# merge_same_files merges the chromo... |
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def py2round(value):
"""Round values as in Python 2, for Python 3 compatibility. All x.5 values are rounded away from zero. In Python 3, this has changed to avoi... |
if value > 0:
return float(floor(float(value)+0.5))
else:
return float(ceil(float(value)-0.5)) |
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def canonicalize(interval, lower_inc=True, upper_inc=False):
""" Convert equivalent discrete intervals to different representations. """ |
if not interval.discrete:
raise TypeError('Only discrete ranges can be canonicalized')
if interval.empty:
return interval
lower, lower_inc = canonicalize_lower(interval, lower_inc)
upper, upper_inc = canonicalize_upper(interval, upper_inc)
return interval.__class__(
[lowe... |
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def glb(self, other):
""" Return the greatest lower bound for given intervals. :param other: AbstractInterval instance """ |
return self.__class__(
[
min(self.lower, other.lower),
min(self.upper, other.upper)
],
lower_inc=self.lower_inc if self < other else other.lower_inc,
upper_inc=self.upper_inc if self > other else other.upper_inc,
) |
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def lub(self, other):
""" Return the least upper bound for given intervals. :param other: AbstractInterval instance """ |
return self.__class__(
[
max(self.lower, other.lower),
max(self.upper, other.upper),
],
lower_inc=self.lower_inc if self < other else other.lower_inc,
upper_inc=self.upper_inc if self > other else other.upper_inc,
) |
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def compute_enriched_threshold(average_window_readcount):
# type: (float) -> int """ Computes the minimum number of tags required in window for an island to be e... |
current_threshold, survival_function = 0, 1
for current_threshold in count(start=0, step=1):
survival_function -= poisson.pmf(current_threshold,
average_window_readcount)
if survival_function <= WINDOW_P_VALUE:
break
island_enriched_thr... |
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def _factln(num):
# type: (int) -> float """ Computes logfactorial regularly for tractable numbers, uses Ramanujans approximation otherwise. """ |
if num < 20:
log_factorial = log(factorial(num))
else:
log_factorial = num * log(num) - num + log(num * (1 + 4 * num * (
1 + 2 * num))) / 6.0 + log(pi) / 2
return log_factorial |
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