_id stringlengths 2 7 | title stringlengths 1 88 | partition stringclasses 3
values | text stringlengths 75 19.8k | language stringclasses 1
value | meta_information dict |
|---|---|---|---|---|---|
q36900 | get_default_shell | train | def get_default_shell():
"""
return the path to the default shell for the current user.
"""
if is_windows():
return 'cmd.exe'
else:
import pwd
import getpass
if 'SHELL' in os.environ:
return os.environ['SHELL']
else:
username = getpass... | python | {
"resource": ""
} |
q36901 | _confirm_or_prompt_or_command | train | def _confirm_or_prompt_or_command(pymux):
" True when we are waiting for a command, prompt or confirmation. "
client_state = pymux.get_client_state()
if client_state.confirm_text or client_state.prompt_command or client_state.command_mode:
return True | python | {
"resource": ""
} |
q36902 | BaseModel.mutate | train | def mutate(self):
'''
Mutate to next state
:return: True if mutated, False if not
'''
self._get_ready()
if self._is_last_index():
return False
self._current_index += 1
self._mutate()
return True | python | {
"resource": ""
} |
q36903 | KittyWebClientApi.get_stats | train | def get_stats(self):
'''
Get kitty stats as a dictionary
'''
resp = requests.get('%s/api/stats.json' % self.url)
assert(resp.status_code == 200)
return resp.json() | python | {
"resource": ""
} |
q36904 | BaseFuzzer._handle_options | train | def _handle_options(self, option_line):
'''
Handle options from command line, in docopt style.
This allows passing arguments to the fuzzer from the command line
without the need to re-write it in each runner.
:param option_line: string with the command line options to be parsed.... | python | {
"resource": ""
} |
q36905 | BaseFuzzer.set_model | train | def set_model(self, model):
'''
Set the model to fuzz
:type model: :class:`~kitty.model.high_level.base.BaseModel` or a subclass
:param model: Model object to fuzz
'''
self.model = model
if self.model:
self.model.set_notification_handler(self)
... | python | {
"resource": ""
} |
q36906 | BaseFuzzer.set_range | train | def set_range(self, start_index=0, end_index=None):
'''
Set range of tests to run
.. deprecated::
use :func:`~kitty.fuzzers.base.BaseFuzzer.set_test_list`
:param start_index: index to start at (default=0)
:param end_index: index to end at(default=None)
'''
... | python | {
"resource": ""
} |
q36907 | BaseFuzzer.start | train | def start(self):
'''
Start the fuzzing session
If fuzzer already running, it will return immediatly
'''
if self._started:
self.logger.warning('called while fuzzer is running. ignoring.')
return
self._started = True
assert(self.model)
... | python | {
"resource": ""
} |
q36908 | BaseFuzzer.handle_stage_changed | train | def handle_stage_changed(self, model):
'''
handle a stage change in the data model
:param model: the data model that was changed
'''
stages = model.get_stages()
if self.dataman:
self.dataman.set('stages', stages) | python | {
"resource": ""
} |
q36909 | BaseFuzzer.stop | train | def stop(self):
'''
stop the fuzzing session
'''
assert(self.model)
assert(self.user_interface)
assert(self.target)
self.user_interface.stop()
self.target.teardown()
self.dataman.submit_task(None)
self._un_set_signal_handler() | python | {
"resource": ""
} |
q36910 | BaseFuzzer._keep_running | train | def _keep_running(self):
'''
Should we still fuzz??
'''
if self.config.max_failures:
if self.session_info.failure_count >= self.config.max_failures:
return False
return self._test_list.current() is not None | python | {
"resource": ""
} |
q36911 | KittyObject.set_verbosity | train | def set_verbosity(cls, verbosity):
'''
Set verbosity of logger
:param verbosity: verbosity level. currently, we only support 1 (logging.DEBUG)
'''
if verbosity > 0:
# currently, we only toggle between INFO, DEBUG
logger = KittyObject.get_logger()
... | python | {
"resource": ""
} |
q36912 | KittyObject.not_implemented | train | def not_implemented(self, func_name):
'''
log access to unimplemented method and raise error
:param func_name: name of unimplemented function.
:raise: NotImplementedError detailing the function the is not implemented.
'''
msg = '%s is not overridden by %s' % (func_name, ... | python | {
"resource": ""
} |
q36913 | synced | train | def synced(func):
'''
Decorator for functions that should be called synchronously from another thread
:param func: function to call
'''
def wrapper(self, *args, **kwargs):
'''
Actual wrapper for the synchronous function
'''
task = DataManagerTask(func, *args, **kwar... | python | {
"resource": ""
} |
q36914 | DataManagerTask.execute | train | def execute(self, dataman):
'''
run the task
:type dataman: :class:`~kitty.data.data_manager.DataManager`
:param dataman: the executing data manager
'''
self._event.clear()
try:
self._result = self._task(dataman, *self._args)
#
# We ar... | python | {
"resource": ""
} |
q36915 | DataManager.open | train | def open(self):
'''
open the database
'''
self._connection = sqlite3.connect(self._dbname)
self._cursor = self._connection.cursor()
self._session_info = SessionInfoTable(self._connection, self._cursor)
self._reports = ReportsTable(self._connection, self._cursor) | python | {
"resource": ""
} |
q36916 | DataManager.set | train | def set(self, key, data):
'''
set arbitrary data by key in volatile memory
:param key: key of the data
:param data: data to be stored
'''
if isinstance(data, dict):
self._volatile_data[key] = {k: v for (k, v) in data.items()}
else:
self._v... | python | {
"resource": ""
} |
q36917 | Table.row_to_dict | train | def row_to_dict(self, row):
'''
translate a row of the current table to dictionary
:param row: a row of the current table (selected with \\*)
:return: dictionary of all fields
'''
res = {}
for i in range(len(self._fields)):
res[self._fields[i][0]] = r... | python | {
"resource": ""
} |
q36918 | MainGUI.register_palette | train | def register_palette(self):
"""Converts pygmets style to urwid palatte"""
default = 'default'
palette = list(self.palette)
mapping = CONFIG['rgb_to_short']
for tok in self.style.styles.keys():
for t in tok.split()[::-1]:
st = self.style.styles[t]
... | python | {
"resource": ""
} |
q36919 | Permutations.increment | train | def increment(self):
""" Increment the last permutation we returned to the next. """
# Increment position from the deepest place of the tree first.
for index in reversed(range(self.depth)):
self.indexes[index] += 1
# We haven't reached the end of board, no need to adjust ... | python | {
"resource": ""
} |
q36920 | Permutations.skip_branch | train | def skip_branch(self, level):
""" Abandon the branch at the provided level and skip to the next.
When we call out to skip to the next branch of the search space, we
push sublevel pieces to the maximum positions of the board. So that the
next time the permutation iterator is called, it c... | python | {
"resource": ""
} |
q36921 | SolverContext.solve | train | def solve(self):
""" Solve all possible positions of pieces within the context.
Depth-first, tree-traversal of the product space.
"""
# Create a new, empty board.
board = Board(self.length, self.height)
# Iterate through all combinations of positions.
permutatio... | python | {
"resource": ""
} |
q36922 | get_flagged_names | train | def get_flagged_names():
"""Return a list of all filenames marked as flagged."""
l = []
for w in _widget_cache.values():
if w.flagged:
l.append(w.get_node().get_value())
return l | python | {
"resource": ""
} |
q36923 | starts_expanded | train | def starts_expanded(name):
"""Return True if directory is a parent of initial cwd."""
if name is '/':
return True
l = name.split(dir_sep())
if len(l) > len(_initial_cwd):
return False
if l != _initial_cwd[:len(l)]:
return False
return True | python | {
"resource": ""
} |
q36924 | escape_filename_sh | train | def escape_filename_sh(name):
"""Return a hopefully safe shell-escaped version of a filename."""
# check whether we have unprintable characters
for ch in name:
if ord(ch) < 32:
# found one so use the ansi-c escaping
return escape_filename_sh_ansic(name)
# all printable ... | python | {
"resource": ""
} |
q36925 | escape_filename_sh_ansic | train | def escape_filename_sh_ansic(name):
"""Return an ansi-c shell-escaped version of a filename."""
out =[]
# gather the escaped characters into a list
for ch in name:
if ord(ch) < 32:
out.append("\\x%02x"% ord(ch))
elif ch == '\\':
out.append('\\\\')
else:
... | python | {
"resource": ""
} |
q36926 | FlagFileWidget.keypress | train | def keypress(self, size, key):
"""allow subclasses to intercept keystrokes"""
key = self.__super.keypress(size, key)
if key:
key = self.unhandled_keys(size, key)
return key | python | {
"resource": ""
} |
q36927 | FlagFileWidget.update_w | train | def update_w(self):
"""Update the attributes of self.widget based on self.flagged.
"""
if self.flagged:
self._w.attr = 'flagged'
self._w.focus_attr = 'flagged focus'
else:
self._w.attr = 'body'
self._w.focus_attr = 'focus' | python | {
"resource": ""
} |
q36928 | DirectoryNode.load_child_node | train | def load_child_node(self, key):
"""Return either a FileNode or DirectoryNode"""
index = self.get_child_index(key)
if key is None:
return EmptyNode(None)
else:
path = os.path.join(self.get_value(), key)
if index < self.dir_count:
return ... | python | {
"resource": ""
} |
q36929 | PasswordForm.clean_password | train | def clean_password(self):
"""
Validates that the password is a current password
"""
user_pass = self.cleaned_data.get('password')
matches = Password.objects.filter(password=user_pass)
if not matches:
raise forms.ValidationError("Your password does not match.") | python | {
"resource": ""
} |
q36930 | gfm | train | def gfm(text):
"""Processes Markdown according to GitHub Flavored Markdown spec."""
extractions = {}
def extract_pre_block(matchobj):
match = matchobj.group(0)
hashed_match = hashlib.md5(match.encode('utf-8')).hexdigest()
extractions[hashed_match] = match
result = "{gfm-extr... | python | {
"resource": ""
} |
q36931 | markdown | train | def markdown(text):
"""Processes GFM then converts it to HTML."""
text = gfm(text)
text = markdown_lib.markdown(text)
return text | python | {
"resource": ""
} |
q36932 | Command.add_log_options | train | def add_log_options(self, verbose_func=None, quiet_func=None):
"""
A helper for setting up log options
"""
if not verbose_func:
def verbose_func():
return log.config(verbose=True)
if not quiet_func:
def quiet_func():
retur... | python | {
"resource": ""
} |
q36933 | BGP.redistribute | train | def redistribute(self, **kwargs):
"""Set BGP redistribute properties.
Args:
vrf (str): The VRF for this BGP process.
rbridge_id (str): The rbridge ID of the device on which BGP will be
configured in a VCS fabric.
source (str): Source for redistributin... | python | {
"resource": ""
} |
q36934 | BGP._redistribute_builder | train | def _redistribute_builder(self, afi='ipv4', source=None):
"""Build BGP redistribute method.
Do not use this method directly. You probably want ``redistribute``.
Args:
source (str): Source for redistributing. (connected)
afi (str): Address family to configure. (ipv4, ip... | python | {
"resource": ""
} |
q36935 | BGP.max_paths | train | def max_paths(self, **kwargs):
"""Set BGP max paths property.
Args:
vrf (str): The VRF for this BGP process.
rbridge_id (str): The rbridge ID of the device on which BGP will be
configured in a VCS fabric.
paths (str): Number of paths for BGP ECMP (def... | python | {
"resource": ""
} |
q36936 | BGP._multihop_xml | train | def _multihop_xml(self, **kwargs):
"""Build BGP multihop XML.
Do not use this method directly. You probably want ``multihop``.
Args:
rbridge_id (str): The rbridge ID of the device on which BGP will be
configured in a VCS fabric.
neighbor (ipaddress.ip_i... | python | {
"resource": ""
} |
q36937 | return_xml | train | def return_xml(element_tree):
"""Return an XML Element.
Args:
element_tree (Element): XML Element to be returned. If sent as a
``str``, this function will attempt to convert it to an
``Element``.
Returns:
Element: An XML Element.
Ra... | python | {
"resource": ""
} |
q36938 | valid_vlan_id | train | def valid_vlan_id(vlan_id, extended=True):
"""Validates a VLAN ID.
Args:
vlan_id (integer): VLAN ID to validate. If passed as ``str``, it will
be cast to ``int``.
extended (bool): If the VLAN ID range should be considered extended
for Virtual Fabrics.
Returns:
... | python | {
"resource": ""
} |
q36939 | merge_xml | train | def merge_xml(first_doc, second_doc):
"""Merges two XML documents.
Args:
first_doc (str): First XML document. `second_doc` is merged into this
document.
second_doc (str): Second XML document. It is merged into the first.
Returns:
XML Document: The merged document.
... | python | {
"resource": ""
} |
q36940 | FileSystemEvents.get_scss_files | train | def get_scss_files(self, skip_partials=True, with_source_path=False):
"""Gets all SCSS files in the source directory.
:param bool skip_partials: If True, partials will be ignored. Otherwise,
all SCSS files, including ones that begin
... | python | {
"resource": ""
} |
q36941 | DatasetPostgreSQLIndex._index_document | train | def _index_document(self, document, force=False):
""" Adds dataset document to the index. """
query = text("""
INSERT INTO dataset_index(vid, title, keywords, doc)
VALUES(:vid, :title, string_to_array(:keywords, ' '), to_tsvector('english', :doc));
""")
self.execu... | python | {
"resource": ""
} |
q36942 | PartitionPostgreSQLIndex.is_indexed | train | def is_indexed(self, partition):
""" Returns True if partition is already indexed. Otherwise returns False. """
query = text("""
SELECT vid
FROM partition_index
WHERE vid = :vid;
""")
result = self.execute(query, vid=partition.vid)
return bool(... | python | {
"resource": ""
} |
q36943 | IdentifierPostgreSQLIndex.search | train | def search(self, search_phrase, limit=None):
""" Finds identifiers by search phrase.
Args:
search_phrase (str or unicode):
limit (int, optional): how many results to return. None means without limit.
Returns:
list of IdentifierSearchResult instances.
... | python | {
"resource": ""
} |
q36944 | pare | train | def pare(text, size, etc='...'):
'''Pare text to have maximum size and add etc to the end if it's
changed'''
size = int(size)
text = text.strip()
if len(text)>size:
# strip the last word or not
to_be_stripped = not whitespace_re.findall(text[size-1:size+2])
text = text[:size... | python | {
"resource": ""
} |
q36945 | get_environment | train | def get_environment(id=None, name=None):
"""
Get a specific Environment by name or ID
"""
data = get_environment_raw(id, name)
if data:
return utils.format_json(data) | python | {
"resource": ""
} |
q36946 | list_environments_raw | train | def list_environments_raw(page_size=200, page_index=0, sort="", q=""):
"""
List all Environments
"""
response = utils.checked_api_call(pnc_api.environments, 'get_all', page_size=page_size, page_index=page_index, sort=sort, q=q)
if response:
return response.content | python | {
"resource": ""
} |
q36947 | Table.primary_dimensions | train | def primary_dimensions(self):
"""Iterate over the primary dimension columns, columns which do not have a parent
"""
from ambry.valuetype.core import ROLE
for c in self.columns:
if not c.parent and c.role == ROLE.DIMENSION:
yield c | python | {
"resource": ""
} |
q36948 | Table.primary_measures | train | def primary_measures(self):
"""Iterate over the primary columns, columns which do not have a parent
Also sets the property partition_stats to the stats collection for the partition and column.
"""
from ambry.valuetype.core import ROLE
for c in self.columns:
if not ... | python | {
"resource": ""
} |
q36949 | Table.is_empty | train | def is_empty(self):
"""Return True if the table has no columns or the only column is the id"""
if len(self.columns) == 0:
return True
if len(self.columns) == 1 and self.columns[0].name == 'id':
return True
return False | python | {
"resource": ""
} |
q36950 | Table.update_from_stats | train | def update_from_stats(self, stats):
"""Update columns based on partition statistics"""
sd = dict(stats)
for c in self.columns:
if c not in sd:
continue
stat = sd[c]
if stat.size and stat.size > c.size:
c.size = stat.size
... | python | {
"resource": ""
} |
q36951 | Table.transforms | train | def transforms(self):
"""Return an array of arrays of column transforms.
#The return value is an list of list, with each list being a segment of column transformations, and
#each segment having one entry per column.
"""
tr = []
for c in self.columns:
tr.app... | python | {
"resource": ""
} |
q36952 | Table.before_insert | train | def before_insert(mapper, conn, target):
"""event.listen method for Sqlalchemy to set the seqience_id for this
object and create an ObjectNumber value for the id"""
if target.sequence_id is None:
from ambry.orm.exc import DatabaseError
raise DatabaseError('Must have seque... | python | {
"resource": ""
} |
q36953 | Table.before_update | train | def before_update(mapper, conn, target):
"""Set the Table ID based on the dataset number and the sequence number
for the table."""
target.name = Table.mangle_name(target.name)
if isinstance(target, Column):
raise TypeError('Got a column instead of a table')
target.... | python | {
"resource": ""
} |
q36954 | SessionManager.wait_for_tasks | train | def wait_for_tasks(self, raise_if_error=True):
"""
Wait for the running tasks lauched from the sessions.
Note that it also wait for tasks that are started from other tasks
callbacks, like on_finished.
:param raise_if_error: if True, raise all possible encountered
er... | python | {
"resource": ""
} |
q36955 | CommandTask.error | train | def error(self):
"""
Return an instance of Exception if any, else None.
Actually check for a :class:`TimeoutError` or a
:class:`ExitCodeError`.
"""
if self.__timed_out:
return TimeoutError(self.session, self, "timeout")
if self.__exit_code is not None... | python | {
"resource": ""
} |
q36956 | Dataset.incver | train | def incver(self):
"""Increment all of the version numbers"""
d = {}
for p in self.__mapper__.attrs:
if p.key in ['vid','vname','fqname', 'version', 'cache_key']:
continue
if p.key == 'revision':
d[p.key] = self.revision + 1
else... | python | {
"resource": ""
} |
q36957 | Dataset.new_unique_object | train | def new_unique_object(self, table_class, sequence_id=None, force_query=False, **kwargs):
"""Use next_sequence_id to create a new child of the dataset, with a unique id"""
from sqlalchemy.exc import IntegrityError
from sqlalchemy.orm.exc import FlushError
# If a sequence ID was specified... | python | {
"resource": ""
} |
q36958 | Dataset.new_table | train | def new_table(self, name, add_id=True, **kwargs):
'''Add a table to the schema, or update it it already exists.
If updating, will only update data.
'''
from . import Table
from .exc import NotFoundError
try:
table = self.table(name)
extant = True... | python | {
"resource": ""
} |
q36959 | Dataset.new_partition | train | def new_partition(self, table, **kwargs):
""" Creates new partition and returns it.
Args:
table (orm.Table):
Returns:
orm.Partition
"""
from . import Partition
# Create the basic partition record, with a sequence ID.
if isinstance(tabl... | python | {
"resource": ""
} |
q36960 | Dataset.partition | train | def partition(self, ref=None, **kwargs):
""" Returns partition by ref. """
from .exc import NotFoundError
from six import text_type
if ref:
for p in self.partitions: # This is slow for large datasets, like Census years.
if (text_type(ref) == text_type(p.name... | python | {
"resource": ""
} |
q36961 | Dataset.bsfile | train | def bsfile(self, path):
"""Return a Build Source file ref, creating a new one if the one requested does not exist"""
from sqlalchemy.orm.exc import NoResultFound
from ambry.orm.exc import NotFoundError
try:
f = object_session(self)\
.query(File)\
... | python | {
"resource": ""
} |
q36962 | Dataset.row | train | def row(self, fields):
"""Return a row for fields, for CSV files, pretty printing, etc, give a set of fields to return"""
d = self.dict
row = [None] * len(fields)
for i, f in enumerate(fields):
if f in d:
row[i] = d[f]
return row | python | {
"resource": ""
} |
q36963 | ConfigAccessor.metadata | train | def metadata(self):
"""Access process configuarion values as attributes. """
from ambry.metadata.schema import Top # cross-module import
top = Top()
top.build_from_db(self.dataset)
return top | python | {
"resource": ""
} |
q36964 | ConfigAccessor.rows | train | def rows(self):
"""Return configuration in a form that can be used to reconstitute a
Metadata object. Returns all of the rows for a dataset.
This is distinct from get_config_value, which returns the value
for the library.
"""
from ambry.orm import Config as SAConfig
... | python | {
"resource": ""
} |
q36965 | _set_value | train | def _set_value(instance_to_path_map, path_to_instance_map, prop_tree, config_instance):
""" Finds appropriate term in the prop_tree and sets its value from config_instance.
Args:
configs_map (dict): key is id of the config, value is Config instance (AKA cache of the configs)
prop_tree (Property... | python | {
"resource": ""
} |
q36966 | get_or_create | train | def get_or_create(session, model, **kwargs):
""" Get or create sqlalchemy instance.
Args:
session (Sqlalchemy session):
model (sqlalchemy model):
kwargs (dict): kwargs to lookup or create instance.
Returns:
Tuple: first element is found or created instance, second is boolea... | python | {
"resource": ""
} |
q36967 | _get_config_instance | train | def _get_config_instance(group_or_term, session, **kwargs):
""" Finds appropriate config instance and returns it.
Args:
group_or_term (Group or Term):
session (Sqlalchemy session):
kwargs (dict): kwargs to pass to get_or_create.
Returns:
tuple of (Config, bool):
"""
... | python | {
"resource": ""
} |
q36968 | StructuredPropertyTree.register_members | train | def register_members(self):
"""Collect the names of the class member and convert them to object
members.
Unlike Terms, the Group class members are converted into object
members, so the configuration data
"""
self._members = {
name: attr for name, attr in it... | python | {
"resource": ""
} |
q36969 | StructuredPropertyTree.add_error | train | def add_error(self, group, term, sub_term, value):
"""For records that are not defined as terms, either add it to the
errors list."""
self._errors[(group, term, sub_term)] = value | python | {
"resource": ""
} |
q36970 | StructuredPropertyTree._jinja_sub | train | def _jinja_sub(self, st):
"""Create a Jina template engine, then perform substitutions on a string"""
if isinstance(st, string_types):
from jinja2 import Template
try:
for i in range(5): # Only do 5 recursive substitutions.
st = Template(st)... | python | {
"resource": ""
} |
q36971 | StructuredPropertyTree.scalar_term | train | def scalar_term(self, st):
"""Return a _ScalarTermS or _ScalarTermU from a string, to perform text and HTML substitutions"""
if isinstance(st, binary_type):
return _ScalarTermS(st, self._jinja_sub)
elif isinstance(st, text_type):
return _ScalarTermU(st, self._jinja_sub)
... | python | {
"resource": ""
} |
q36972 | Group.update_config | train | def update_config(self):
""" Updates or creates config of that group. Requires tree bound to db. """
dataset = self._top._config.dataset
session = object_session(self._top._config)
logger.debug(
'Updating group config. dataset: {}, type: {}, key: {}'.format(dataset.vid, self.... | python | {
"resource": ""
} |
q36973 | Group.get_group_instance | train | def get_group_instance(self, parent):
"""Create an instance object"""
o = copy.copy(self)
o.init_instance(parent)
return o | python | {
"resource": ""
} |
q36974 | VarDictGroup.update_config | train | def update_config(self, key, value):
""" Creates or updates db config of the VarDictGroup. Requires bound to db tree. """
dataset = self._top._config.dataset
session = object_session(self._top._config)
logger.debug(
'Updating VarDictGroup config. dataset: {}, type: {}, key: {... | python | {
"resource": ""
} |
q36975 | Term.update_config | train | def update_config(self):
""" Creates or updates db config of the term. Requires bound to db tree. """
dataset = self._top._config.dataset
session = object_session(self._top._config)
#logger.debug('Updating term config. dataset: {}, type: {}, key: {}, value: {}'.format(
# ... | python | {
"resource": ""
} |
q36976 | _ScalarTermS.text | train | def text(self):
"""Interpret the scalar as Markdown, strip the HTML and return text"""
s = MLStripper()
s.feed(self.html)
return s.get_data() | python | {
"resource": ""
} |
q36977 | quoteattrs | train | def quoteattrs(data):
'''Takes dict of attributes and returns their HTML representation'''
items = []
for key, value in data.items():
items.append('{}={}'.format(key, quoteattr(value)))
return ' '.join(items) | python | {
"resource": ""
} |
q36978 | quote_js | train | def quote_js(text):
'''Quotes text to be used as JavaScript string in HTML templates. The
result doesn't contain surrounding quotes.'''
if isinstance(text, six.binary_type):
text = text.decode('utf-8') # for Jinja2 Markup
text = text.replace('\\', '\\\\');
text = text.replace('\n', '\\n');
... | python | {
"resource": ""
} |
q36979 | create_ramp_plan | train | def create_ramp_plan(err, ramp):
"""
Formulate and execute on a plan to slowly add heat or cooling to the system
`err` initial error (PV - SP)
`ramp` the size of the ramp
A ramp plan might yield MVs in this order at every timestep:
[5, 0, 4, 0, 3, 0, 2, 0, 1]
where err == 5 + 4 + 3... | python | {
"resource": ""
} |
q36980 | BaseField.clean_value | train | def clean_value(self):
'''
Current field's converted value from form's python_data.
'''
# XXX cached_property is used only for set initial state
# this property should be set every time field data
# has been changed, for instance, in accept method
python_d... | python | {
"resource": ""
} |
q36981 | Field.accept | train | def accept(self):
'''Extracts raw value from form's raw data and passes it to converter'''
value = self.raw_value
if not self._check_value_type(value):
# XXX should this be silent or TypeError?
value = [] if self.multiple else self._null_value
self.clean_value = s... | python | {
"resource": ""
} |
q36982 | AggregateField.python_data | train | def python_data(self):
'''Representation of aggregate value as dictionary.'''
try:
value = self.clean_value
except LookupError:
# XXX is this necessary?
value = self.get_initial()
return self.from_python(value) | python | {
"resource": ""
} |
q36983 | FieldSet.accept | train | def accept(self):
'''
Accepts all children fields, collects resulting values into dict and
passes that dict to converter.
Returns result of converter as separate value in parent `python_data`
'''
result = dict(self.python_data)
for field in self.fields:
... | python | {
"resource": ""
} |
q36984 | FieldBlock.accept | train | def accept(self):
'''
Acts as `Field.accepts` but returns result of every child field
as value in parent `python_data`.
'''
result = FieldSet.accept(self)
self.clean_value = result[self.name]
return self.clean_value | python | {
"resource": ""
} |
q36985 | getTicker | train | def getTicker(pair, connection=None, info=None):
"""Retrieve the ticker for the given pair. Returns a Ticker instance."""
if info is not None:
info.validate_pair(pair)
if connection is None:
connection = common.BTCEConnection()
response = connection.makeJSONRequest("/api/3/ticker/%s"... | python | {
"resource": ""
} |
q36986 | getTradeHistory | train | def getTradeHistory(pair, connection=None, info=None, count=None):
"""Retrieve the trade history for the given pair. Returns a list of
Trade instances. If count is not None, it should be an integer, and
specifies the number of items from the trade history that will be
processed and returned."""
i... | python | {
"resource": ""
} |
q36987 | BuildSourceFile.remove | train | def remove(self):
""" Removes file from filesystem. """
from fs.errors import ResourceNotFoundError
try:
self._fs.remove(self.file_name)
except ResourceNotFoundError:
pass | python | {
"resource": ""
} |
q36988 | BuildSourceFile.sync | train | def sync(self, force=None):
"""Synchronize between the file in the file system and the field record"""
try:
if force:
sd = force
else:
sd = self.sync_dir()
if sd == self.SYNC_DIR.FILE_TO_RECORD:
if force and not self.... | python | {
"resource": ""
} |
q36989 | DictBuildSourceFile.record_to_fh | train | def record_to_fh(self, f):
"""Write the record, in filesystem format, to a file handle or file object"""
fr = self.record
if fr.contents:
yaml.safe_dump(fr.unpacked_contents, f, default_flow_style=False, encoding='utf-8')
fr.source_hash = self.fs_hash
fr.mod... | python | {
"resource": ""
} |
q36990 | MetadataFile.objects_to_record | train | def objects_to_record(self):
"""Write from object metadata to the record. Note that we don't write everything"""
o = self.get_object()
o.about = self._bundle.metadata.about
o.identity = self._dataset.identity.ident_dict
o.names = self._dataset.identity.names_dict
o.cont... | python | {
"resource": ""
} |
q36991 | MetadataFile.update_identity | train | def update_identity(self):
"""Update the identity and names to match the dataset id and version"""
fr = self.record
d = fr.unpacked_contents
d['identity'] = self._dataset.identity.ident_dict
d['names'] = self._dataset.identity.names_dict
fr.update_contents(msgpack.pac... | python | {
"resource": ""
} |
q36992 | MetadataFile.get_object | train | def get_object(self):
"""Return contents in object form, an AttrDict"""
from ..util import AttrDict
c = self.record.unpacked_contents
if not c:
c = yaml.safe_load(self.default)
return AttrDict(c) | python | {
"resource": ""
} |
q36993 | NotebookFile.execute | train | def execute(self):
"""Convert the notebook to a python script and execute it, returning the local context
as a dict"""
from nbformat import read
from nbconvert.exporters import export_script
from cStringIO import StringIO
notebook = read(StringIO(self.record.unpacked_co... | python | {
"resource": ""
} |
q36994 | PythonSourceFile.import_module | train | def import_module(self, module_path = 'ambry.build', **kwargs):
"""
Import the contents of the file into the ambry.build module
:param kwargs: items to add to the module globals
:return:
"""
from fs.errors import NoSysPathError
if module_path in sys.modules:
... | python | {
"resource": ""
} |
q36995 | PythonSourceFile.import_bundle | train | def import_bundle(self):
"""Add the filesystem to the Python sys path with an import hook, then import
to file as Python"""
from fs.errors import NoSysPathError
try:
import ambry.build
module = sys.modules['ambry.build']
except ImportError:
mo... | python | {
"resource": ""
} |
q36996 | PythonSourceFile.import_lib | train | def import_lib(self):
"""Import the lib.py file into the bundle module"""
try:
import ambry.build
module = sys.modules['ambry.build']
except ImportError:
module = imp.new_module('ambry.build')
sys.modules['ambry.build'] = module
bf = self... | python | {
"resource": ""
} |
q36997 | SourceSchemaFile.record_to_objects | train | def record_to_objects(self):
"""Write from the stored file data to the source records"""
from ambry.orm import SourceTable
bsfile = self.record
failures = set()
# Clear out all of the columns from existing tables. We don't clear out the
# tables, since they may be refe... | python | {
"resource": ""
} |
q36998 | ASQLSourceFile.execute | train | def execute(self):
""" Executes all sql statements from bundle.sql. """
from ambry.mprlib import execute_sql
execute_sql(self._bundle.library, self.record_content) | python | {
"resource": ""
} |
q36999 | BuildSourceFileAccessor.list_records | train | def list_records(self, file_const=None):
"""Iterate through the file records"""
for r in self._dataset.files:
if file_const and r.minor_type != file_const:
continue
yield self.instance_from_name(r.path) | python | {
"resource": ""
} |
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