text_prompt stringlengths 157 13.1k | code_prompt stringlengths 7 19.8k ⌀ |
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Description:
def get_context_data(self, **kwargs):
""" Adds `next` to the context. This makes sure that the `next` parameter doesn't get lost if the form was submitted invali... |
ctx = super(UserMediaImageViewMixin, self).get_context_data(**kwargs)
ctx.update({
'action': self.action,
'next': self.next,
})
return ctx |
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def get_success_url(self):
""" Returns the success URL. This is either the given `next` URL parameter or the content object's `get_absolute_url` method's return ... |
if self.next:
return self.next
if self.object and self.object.content_object:
return self.object.content_object.get_absolute_url()
raise Exception(
'No content object given. Please provide ``next`` in your POST'
' data') |
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def dispatch(self, request, *args, **kwargs):
"""Adds useful objects to the class and performs security checks.""" |
self._add_next_and_user(request)
self.content_object = None
self.content_type = None
self.object_id = kwargs.get('object_id', None)
if kwargs.get('content_type'):
# Check if the user forged the URL and posted a non existant
# content type
try... |
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def get_queryset(self):
""" Making sure that a user can only delete his own images. Even when he forges the request URL. """ |
queryset = super(DeleteImageView, self).get_queryset()
queryset = queryset.filter(user=self.user)
return queryset |
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def get_queryset(self):
""" Making sure that a user can only edit his own images. Even when he forges the request URL. """ |
queryset = super(UpdateImageView, self).get_queryset()
queryset = queryset.filter(user=self.user)
return queryset |
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def _delete_images(self, instance):
"""Deletes all user media images of the given instance.""" |
UserMediaImage.objects.filter(
content_type=ContentType.objects.get_for_model(instance),
object_id=instance.pk,
user=instance.user,
).delete() |
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def clean_image(self):
""" It seems like in Django 1.5 something has changed. When Django tries to validate the form, it checks if the generated filename fit int... |
self.instance.user = self.user
data = self.cleaned_data.get('image')
return data |
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def get_image_file_path(instance, filename):
"""Returns a unique filename for images.""" |
ext = filename.split('.')[-1]
filename = '%s.%s' % (uuid.uuid4(), ext)
return os.path.join(
'user_media', str(instance.user.pk), 'images', filename) |
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def image_post_delete_handler(sender, instance, **kwargs):
""" Makes sure that a an image is also deleted from the media directory. This should prevent a load of... |
for f in glob.glob('{}/{}*'.format(instance.image.storage.location,
instance.image.name)):
if not os.path.isdir(f):
instance.image.storage.delete(f) |
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def box_coordinates(self):
"""Returns a thumbnail's coordinates.""" |
if (
self.thumb_x is not None and
self.thumb_y is not None and
self.thumb_x2 is not None and
self.thumb_y2 is not None
):
return (
int(self.thumb_x),
int(self.thumb_y),
int(self.thumb_x2),
... |
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def large_size(self, as_string=True):
"""Returns a thumbnail's large size.""" |
size = getattr(settings, 'USER_MEDIA_THUMB_SIZE_LARGE', (150, 150))
if as_string:
return u'{}x{}'.format(size[0], size[1])
return size |
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def crop_box(im, box=False, **kwargs):
"""Uses box coordinates to crop an image without resizing it first.""" |
if box:
im = im.crop(box)
return im |
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| def load_germanet(host = None, port = None, database_name = 'germanet'):
'''
Loads a GermaNet instance connected to the given MongoDB instance.
Arguments:
- `host`: the hostname of the MongoDB instance
- `port`: the port number of the MongoDB instance
- `database_name`: the name of the GermaNet... |
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| def cache_size(self, new_value):
'''
Set the cache size used to reduce the number of database
access operations.
'''
if type(new_value) == int and 0 < new_value:
if self._lemma_cache is not None:
self._lemma_cache = repoze.lru.LRUCache(new_value)
... |
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| def all_lemmas(self):
'''
A generator over all the lemmas in the GermaNet database.
'''
for lemma_dict in self._mongo_db.lexunits.find():
yield Lemma(self, lemma_dict) |
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| def lemmas(self, lemma, pos = None):
'''
Looks up lemmas in the GermaNet database.
Arguments:
- `lemma`:
- `pos`:
'''
if pos is not None:
if pos not in SHORT_POS_TO_LONG:
return None
pos = SHORT_POS_TO_LONG[pos]
... |
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| def all_synsets(self):
'''
A generator over all the synsets in the GermaNet database.
'''
for synset_dict in self._mongo_db.synsets.find():
yield Synset(self, synset_dict) |
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| def synsets(self, lemma, pos = None):
'''
Looks up synsets in the GermaNet database.
Arguments:
- `lemma`:
- `pos`:
'''
return sorted(set(lemma_obj.synset
for lemma_obj in self.lemmas(lemma, pos))) |
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| def synset(self, synset_repr):
'''
Looks up a synset in GermaNet using its string representation.
Arguments:
- `synset_repr`: a unicode string containing the lemma, part
of speech, and sense number of the first lemma of the synset
>>> gn.synset(u'funktionieren.v.2')
... |
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| def get_synset_by_id(self, mongo_id):
'''
Builds a Synset object from the database entry with the given
ObjectId.
Arguments:
- `mongo_id`: a bson.objectid.ObjectId object
'''
cache_hit = None
if self._synset_cache is not None:
cache_hit = self... |
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| def get_lemma_by_id(self, mongo_id):
'''
Builds a Lemma object from the database entry with the given
ObjectId.
Arguments:
- `mongo_id`: a bson.objectid.ObjectId object
'''
cache_hit = None
if self._lemma_cache is not None:
cache_hit = self._l... |
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| def find_germanet_xml_files(xml_path):
'''
Globs the XML files contained in the given directory and sorts
them into sections for import into the MongoDB database.
Arguments:
- `xml_path`: the path to the directory containing the GermaNet
XML files
'''
xml_files = sorted(glob.glob(os.p... |
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| def read_relation_file(filename):
'''
Reads the GermaNet relation file ``gn_relations.xml`` which lists
all the relations holding between lexical units and synsets.
Arguments:
- `filename`:
'''
with open(filename, 'rb') as input_file:
doc = etree.parse(input_file)
lex_rels = []... |
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| def read_paraphrase_file(filename):
'''
Reads in a GermaNet wiktionary paraphrase file and returns its
contents as a list of dictionary structures.
Arguments:
- `filename`:
'''
with open(filename, 'rb') as input_file:
doc = etree.parse(input_file)
assert doc.getroot().tag == 'w... |
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| def insert_lexical_information(germanet_db, lex_files):
'''
Reads in the given lexical information files and inserts their
contents into the given MongoDB database.
Arguments:
- `germanet_db`: a pymongo.database.Database object
- `lex_files`: a list of paths to XML files containing lexial
... |
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| def insert_lemmatisation_data(germanet_db):
'''
Creates the lemmatiser collection in the given MongoDB instance
using the data derived from the Projekt deutscher Wortschatz.
Arguments:
- `germanet_db`: a pymongo.database.Database object
'''
# drop the database collection if it already exist... |
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| def insert_infocontent_data(germanet_db):
'''
For every synset in GermaNet, inserts count information derived
from SDEWAC.
Arguments:
- `germanet_db`: a pymongo.database.Database object
'''
gnet = germanet.GermaNet(germanet_db)
# use add one smoothing
gn_counts = defa... |
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| def compute_max_min_depth(germanet_db):
'''
For every part of speech in GermaNet, computes the maximum
min_depth in that hierarchy.
Arguments:
- `germanet_db`: a pymongo.database.Database object
'''
gnet = germanet.GermaNet(germanet_db)
max_min_depths = defaultdict(lambda: -1)... |
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def AssignVar(self, value):
"""Assign a value to this Value.""" |
self.value = value
# Call OnAssignVar on options.
[option.OnAssignVar() for option in self.options] |
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def _CheckLine(self, line):
"""Passes the line through each rule until a match is made. Args: line: A string, the current input line. """ |
for rule in self._cur_state:
matched = self._CheckRule(rule, line)
if matched:
for value in matched.groupdict():
self._AssignVar(matched, value)
if self._Operations(rule):
# Not a Continue so check for state transition.
if rule.new_state:
if ru... |
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def _make_graphite_api_points_list(influxdb_data):
"""Make graphite-api data points dictionary from Influxdb ResultSet data""" |
_data = {}
for key in influxdb_data.keys():
_data[key[0]] = [(datetime.datetime.fromtimestamp(float(d['time'])),
d['value']) for d in influxdb_data.get_points(key[0])]
return _data |
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def _setup_logger(self, level, log_file):
"""Setup log level and log file if set""" |
if logger.handlers:
return
level = getattr(logging, level.upper())
logger.setLevel(level)
formatter = logging.Formatter(
'[%(levelname)s] %(asctime)s - %(module)s.%(funcName)s() - %(message)s')
handler = logging.StreamHandler()
logger.addHandler(h... |
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def walk_subclasses(root):
"""Does not yield the input class""" |
classes = [root]
visited = set()
while classes:
cls = classes.pop()
if cls is type or cls in visited:
continue
classes.extend(cls.__subclasses__())
visited.add(cls)
if cls is not root:
yield cls |
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def new_expiry(days=DEFAULT_PASTE_LIFETIME_DAYS):
"""Return an expiration `days` in the future""" |
now = delorean.Delorean()
return now + datetime.timedelta(days=days) |
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def sync(obj, engine):
"""Mark the object as having been persisted at least once. Store the latest snapshot of all marked values.""" |
snapshot = Condition()
# Only expect values (or lack of a value) for columns that have been explicitly set
for column in sorted(_obj_tracking[obj]["marked"], key=lambda col: col.dynamo_name):
value = getattr(obj, column.name, None)
value = engine._dump(column.typedef, value)
conditi... |
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def printable_name(column, path=None):
"""Provided for debug output when rendering conditions. User.name[3]["foo"][0]["bar"] -> name[3].foo[0].bar """ |
pieces = [column.name]
path = path or path_of(column)
for segment in path:
if isinstance(segment, str):
pieces.append(segment)
else:
pieces[-1] += "[{}]".format(segment)
return ".".join(pieces) |
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def iter_conditions(condition):
"""Yield all conditions within the given condition. If the root condition is and/or/not, it is not yielded (unless a cyclic refer... |
conditions = list()
visited = set()
# Has to be split out, since we don't want to visit the root (for cyclic conditions)
# but we don't want to yield it (if it's non-cyclic) because this only yields inner conditions
if condition.operation in {"and", "or"}:
conditions.extend(reversed(conditi... |
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def iter_columns(condition):
""" Yield all columns in the condition or its inner conditions. Unwraps proxies when the condition's column (or any of its values) i... |
# Like iter_conditions, this can't live in each condition without going possibly infinite on the
# recursion, or passing the visited set through every call. That makes the signature ugly, so we
# take care of it here. Luckily, it's pretty easy to leverage iter_conditions and just unpack the
# actual ... |
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def _value_ref(self, column, value, *, dumped=False, inner=False):
"""inner=True uses column.typedef.inner_type instead of column.typedef""" |
ref = ":v{}".format(self.next_index)
# Need to dump this value
if not dumped:
typedef = column.typedef
for segment in path_of(column):
typedef = typedef[segment]
if inner:
typedef = typedef.inner_typedef
value = se... |
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def pop_refs(self, *refs):
"""Decrement the usage of each ref by 1. If this was the last use of a ref, remove it from attr_names or attr_values. """ |
for ref in refs:
name = ref.name
count = self.counts[name]
# Not tracking this ref
if count < 1:
continue
# Someone else is using this ref
elif count > 1:
self.counts[name] -= 1
# Last reference
... |
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def render(self, obj=None, condition=None, atomic=False, update=False, filter=None, projection=None, key=None):
"""Main entry point for rendering multiple expres... |
if (atomic or update) and not obj:
raise InvalidCondition("An object is required to render atomic conditions or updates without an object.")
if filter:
self.render_filter_expression(filter)
if projection:
self.render_projection_expression(projection)
... |
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def _unpack(self, record, key, expected):
"""Replaces the attr dict at the given key with an instance of a Model""" |
attrs = record.get(key)
if attrs is None:
return
obj = unpack_from_dynamodb(
attrs=attrs,
expected=expected,
model=self.model,
engine=self.engine
)
object_loaded.send(self.engine, engine=self.engine, obj=obj)
re... |
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def reformat_record(record):
"""Repack a record into a cleaner structure for consumption.""" |
return {
"key": record["dynamodb"].get("Keys", None),
"new": record["dynamodb"].get("NewImage", None),
"old": record["dynamodb"].get("OldImage", None),
"meta": {
"created_at": record["dynamodb"]["ApproximateCreationDateTime"],
"event": {
"id"... |
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def token(self):
"""JSON-serializable representation of the current Shard state. The token is enough to rebuild the Shard as part of rebuilding a Stream. :return... |
if self.iterator_type in RELATIVE_ITERATORS:
logger.warning("creating shard token at non-exact location \"{}\"".format(self.iterator_type))
token = {
"stream_arn": self.stream_arn,
"shard_id": self.shard_id,
"iterator_type": self.iterator_type,
... |
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def jump_to(self, *, iterator_type, sequence_number=None):
"""Move to a new position in the shard using the standard parameters to GetShardIterator. :param str i... |
# Just a simple wrapper; let the caller handle RecordsExpired
self.iterator_id = self.session.get_shard_iterator(
stream_arn=self.stream_arn,
shard_id=self.shard_id,
iterator_type=iterator_type,
sequence_number=sequence_number)
self.iterator_type ... |
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def load_children(self):
"""If the Shard doesn't have any children, tries to find some from DescribeStream. If the Shard is open this won't find any children, so... |
# Child count is fixed the first time any of the following happen:
# 0 :: stream closed or throughput decreased
# 1 :: shard was open for ~4 hours
# 2 :: throughput increased
if self.children:
return self.children
# ParentShardId -> [Shard, ...]
by_... |
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def get_records(self):
"""Get the next set of records in this shard. An empty list doesn't guarantee the shard is exhausted. :returns: A list of reformatted reco... |
# Won't be able to find new records.
if self.exhausted:
return []
# Already caught up, just the one call please.
if self.empty_responses >= CALLS_TO_REACH_HEAD:
return self._apply_get_records_response(self.session.get_stream_records(self.iterator_id))
#... |
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def bind(self, model, *, skip_table_setup=False):
"""Create backing tables for a model and its non-abstract subclasses. :param model: Base model to bind. Can be ... |
# Make sure we're looking at models
validate_is_model(model)
concrete = set(filter(lambda m: not m.Meta.abstract, walk_subclasses(model)))
if not model.Meta.abstract:
concrete.add(model)
logger.debug("binding non-abstract models {}".format(
sorted(c.__na... |
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def delete(self, *objs, condition=None, atomic=False):
"""Delete one or more objects. :param objs: objects to delete. :param condition: only perform each delete ... |
objs = set(objs)
validate_not_abstract(*objs)
for obj in objs:
self.session.delete_item({
"TableName": self._compute_table_name(obj.__class__),
"Key": dump_key(self, obj),
**render(self, obj=obj, atomic=atomic, condition=condition)
... |
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def load(self, *objs, consistent=False):
"""Populate objects from DynamoDB. :param objs: objects to delete. :param bool consistent: Use `strongly consistent read... |
get_table_name = self._compute_table_name
objs = set(objs)
validate_not_abstract(*objs)
table_index, object_index, request = {}, {}, {}
for obj in objs:
table_name = get_table_name(obj.__class__)
key = dump_key(self, obj)
index = index_for(k... |
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def save(self, *objs, condition=None, atomic=False):
"""Save one or more objects. :param objs: objects to save. :param condition: only perform each save if this ... |
objs = set(objs)
validate_not_abstract(*objs)
for obj in objs:
self.session.save_item({
"TableName": self._compute_table_name(obj.__class__),
"Key": dump_key(self, obj),
**render(self, obj=obj, atomic=atomic, condition=condition, updat... |
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def backing_type_for(value):
"""Returns the DynamoDB backing type for a given python value's type :: 4 -> 'N' ['x', 3] -> 'L' {2, 4} -> 'SS' """ |
if isinstance(value, str):
vtype = "S"
elif isinstance(value, bytes):
vtype = "B"
# NOTE: numbers.Number check must come **AFTER** bool check since isinstance(True, numbers.Number)
elif isinstance(value, bool):
vtype = "BOOL"
elif isinstance(v... |
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def stream_replicate():
"""Monitor changes in approximately real-time and replicate them""" |
stream = primary.stream(SomeDataBlob, "trim_horizon")
next_heartbeat = pendulum.now()
while True:
now = pendulum.now()
if now >= next_heartbeat:
stream.heartbeat()
next_heartbeat = now.add(minutes=10)
record = next(stream)
if record is None:
... |
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def _move_stream_endpoint(coordinator, position):
"""Move to the "trim_horizon" or "latest" of the entire stream.""" |
# 0) Everything will be rebuilt from DescribeStream.
stream_arn = coordinator.stream_arn
coordinator.roots.clear()
coordinator.active.clear()
coordinator.buffer.clear()
# 1) Build a Dict[str, Shard] of the current Stream from a DescribeStream call
current_shards = coordinator.session.descr... |
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def _move_stream_token(coordinator, token):
"""Move to the Stream position described by the token. The following rules are applied when interpolation is required... |
stream_arn = coordinator.stream_arn = token["stream_arn"]
# 0) Everything will be rebuilt from the DescribeStream masked by the token.
coordinator.roots.clear()
coordinator.active.clear()
coordinator.closed.clear()
coordinator.buffer.clear()
# Injecting the token gives us access to the sta... |
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def advance_shards(self):
"""Poll active shards for records and insert them into the buffer. Rotate exhausted shards. Returns immediately if the buffer isn't emp... |
# Don't poll shards when there are pending records.
if self.buffer:
return
# 0) Collect new records from all active shards.
record_shard_pairs = []
for shard in self.active:
records = next(shard)
if records:
record_shard_pairs... |
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def heartbeat(self):
"""Keep active shards with "trim_horizon", "latest" iterators alive by advancing their iterators.""" |
for shard in self.active:
if shard.sequence_number is None:
records = next(shard)
# Success! This shard now has an ``at_sequence`` iterator
if records:
self.buffer.push_all((record, shard) for record in records)
self.migra... |
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def token(self):
"""JSON-serializable representation of the current Stream state. Use :func:`Engine.stream(YourModel, token) <bloop.engine.Engine.stream>` to cre... |
# 0) Trace roots and active shards
active_ids = []
shard_tokens = []
for root in self.roots:
for shard in root.walk_tree():
shard_tokens.append(shard.token)
# dedupe, stream_arn will be in the root token
shard_tokens[-1].pop("s... |
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def remove_shard(self, shard, drop_buffered_records=False):
"""Remove a Shard from the Coordinator. Drops all buffered records from the Shard. If the Shard is ac... |
try:
self.roots.remove(shard)
except ValueError:
# Wasn't a root Shard
pass
else:
self.roots.extend(shard.children)
try:
self.active.remove(shard)
except ValueError:
# Wasn't an active Shard
pas... |
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def move_to(self, position):
"""Set the Coordinator to a specific endpoint or time, or load state from a token. :param position: "trim_horizon", "latest", :class... |
if isinstance(position, collections.abc.Mapping):
move = _move_stream_token
elif hasattr(position, "timestamp") and callable(position.timestamp):
move = _move_stream_time
elif isinstance(position, str) and position.lower() in ["latest", "trim_horizon"]:
move ... |
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def push(self, record, shard):
"""Push a new record into the buffer :param dict record: new record :param shard: Shard the record came from :type shard: :class:`... |
heapq.heappush(self.heap, heap_item(self.clock, record, shard)) |
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def unpack_from_dynamodb(*, attrs, expected, model=None, obj=None, engine=None, context=None, **kwargs):
"""Push values by dynamo_name into an object""" |
context = context or {"engine": engine}
engine = engine or context.get("engine", None)
if not engine:
raise ValueError("You must provide engine or a context with an engine.")
if model is None and obj is None:
raise ValueError("You must provide a model or obj to unpack.")
if model is... |
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def setdefault(obj, field, default):
"""Set an object's field to default if it doesn't have a value""" |
setattr(obj, field, getattr(obj, field, default)) |
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def bind_column(model, name, column, force=False, recursive=False, copy=False) -> Column: """Bind a column to the model with the given name. This method is primar... |
if not subclassof(model, BaseModel):
raise InvalidModel(f"{model} is not a subclass of BaseModel")
meta = model.Meta
if copy:
column = copyfn(column)
# TODO elif column.model is not None: logger.warning(f"Trying to rebind column bound to {column.model}")
column._name = name
safe... |
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def bind_index(model, name, index, force=False, recursive=True, copy=False) -> Index: """Bind an index to the model with the given name. This method is primarily ... |
if not subclassof(model, BaseModel):
raise InvalidModel(f"{model} is not a subclass of BaseModel")
meta = model.Meta
if copy:
index = copyfn(index)
# TODO elif index.model is not None: logger.warning(f"Trying to rebind index bound to {index.model}")
index._name = name
safe_repr ... |
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def refresh_index(meta, index) -> None: """Recalculate the projection, hash_key, and range_key for the given index. :param meta: model.Meta to find columns by nam... |
# All projections include model + index keys
projection_keys = set.union(meta.keys, index.keys)
proj = index.projection
mode = proj["mode"]
if mode == "keys":
proj["included"] = projection_keys
elif mode == "all":
proj["included"] = meta.columns
elif mode == "include": # ... |
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def unbind(meta, name=None, dynamo_name=None) -> None: """Unconditionally remove any columns or indexes bound to the given name or dynamo_name. .. code-block:: py... |
if name is not None:
columns = {x for x in meta.columns if x.name == name}
indexes = {x for x in meta.indexes if x.name == name}
elif dynamo_name is not None:
columns = {x for x in meta.columns if x.dynamo_name == dynamo_name}
indexes = {x for x in meta.indexes if x.dynamo_name ... |
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def _dump(cls, obj, *, context, **kwargs):
""" obj -> dict """ |
if obj is None:
return None
dump = context["engine"]._dump
filtered = filter(
lambda item: item[1] is not None,
((
column.dynamo_name,
dump(column.typedef, getattr(obj, column.name, None), context=context, **kwargs)
... |
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def is_valid_superset(actual_projection, index):
"""Returns True if the actual index is a valid superset of the expected index""" |
projection_type = actual_projection["ProjectionType"]
if projection_type == "ALL":
return True
meta = index.model.Meta
# all index types provide index keys and model keys
provides = set.union(meta.keys, index.keys)
if projection_type == "KEYS_ONLY":
pass
elif projection_type... |
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def save_item(self, item):
"""Save an object to DynamoDB. :param item: Unpacked into kwargs for :func:`boto3.DynamoDB.Client.update_item`. :raises bloop.exceptio... |
try:
self.dynamodb_client.update_item(**item)
except botocore.exceptions.ClientError as error:
handle_constraint_violation(error) |
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def delete_item(self, item):
"""Delete an object in DynamoDB. :param item: Unpacked into kwargs for :func:`boto3.DynamoDB.Client.delete_item`. :raises bloop.exce... |
try:
self.dynamodb_client.delete_item(**item)
except botocore.exceptions.ClientError as error:
handle_constraint_violation(error) |
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def load_items(self, items):
"""Loads any number of items in chunks, handling continuation tokens. :param items: Unpacked in chunks into "RequestItems" for :func... |
loaded_items = {}
requests = collections.deque(create_batch_get_chunks(items))
while requests:
request = requests.pop()
try:
response = self.dynamodb_client.batch_get_item(RequestItems=request)
except botocore.exceptions.ClientError as error:
... |
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def create_table(self, table_name, model):
"""Create the model's table. Returns True if the table is being created, False otherwise. Does not wait for the table ... |
table = create_table_request(table_name, model)
try:
self.dynamodb_client.create_table(**table)
is_creating = True
except botocore.exceptions.ClientError as error:
handle_table_exists(error, model)
is_creating = False
return is_creating |
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def describe_table(self, table_name):
""" Polls until the table is ready, then returns the first result when the table was ready. The returned dict is standardiz... |
if table_name in self._tables:
return self._tables[table_name]
status, description = None, {}
calls = 0
while status is not ready:
calls += 1
try:
description = self.dynamodb_client.describe_table(TableName=table_name)["Table"]
... |
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def validate_table(self, table_name, model):
"""Polls until a creating table is ready, then verifies the description against the model's requirements. The model ... |
actual = self.describe_table(table_name)
if not compare_tables(model, actual):
raise TableMismatch("The expected and actual tables for {!r} do not match.".format(model.__name__))
# Fill in values that Meta doesn't know ahead of time (such as arns).
# These won't be populate... |
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def check_hash_key(query_on, key):
"""Only allows == against query_on.hash_key""" |
return (
isinstance(key, BaseCondition) and
(key.operation == "==") and
(key.column is query_on.hash_key)
) |
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def check_range_key(query_on, key):
"""BeginsWith, Between, or any Comparison except '!=' against query_on.range_key""" |
return (
isinstance(key, BaseCondition) and
key.operation in ("begins_with", "between", "<", ">", "<=", ">=", "==") and
key.column is query_on.range_key
) |
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def count(self):
"""Number of items that have been loaded from DynamoDB so far, including buffered items.""" |
if self.request["Select"] == "COUNT":
while not self.exhausted:
next(self, None)
return self._count |
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def scanned(self):
"""Number of items that DynamoDB evaluated, before any filter was applied.""" |
if self.request["Select"] == "COUNT":
while not self.exhausted:
next(self, None)
return self._scanned |
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def reset(self):
"""Reset to the initial state, clearing the buffer and zeroing count and scanned.""" |
self.buffer.clear()
self._count = 0
self._scanned = 0
self._exhausted = False
self.request.pop("ExclusiveStartKey", None) |
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def prepare(self):
""" Create a new PreparedTransaction that can be committed. This is called automatically when exiting the transaction as a context: .. code-bl... |
tx = PreparedTransaction()
tx.prepare(
engine=self.engine,
mode=self.mode,
items=self._items,
)
return tx |
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def prepare(self, engine, mode, items) -> None: """ Create a unique transaction id and dumps the items into a cached request object. """ |
self.tx_id = str(uuid.uuid4()).replace("-", "")
self.engine = engine
self.mode = mode
self.items = items
self._prepare_request() |
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def commit(self) -> None: """ Commit the transaction with a fixed transaction id. A read transaction can call commit() any number of times, while a write transact... |
now = datetime.now(timezone.utc)
if self.first_commit_at is None:
self.first_commit_at = now
if self.mode == "r":
response = self.engine.session.transaction_read(self._request)
elif self.mode == "w":
if now - self.first_commit_at > MAX_TOKEN_LIFETIME... |
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def load(self, *objs) -> "ReadTransaction": """ Add one or more objects to be loaded in this transaction. At most 10 items can be loaded in the same transaction. ... |
self._extend([TxItem.new("get", obj) for obj in objs])
return self |
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def check(self, obj, condition) -> "WriteTransaction": """ Add a condition which must be met for the transaction to commit. While the condition is checked against... |
self._extend([TxItem.new("check", obj, condition)])
return self |
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def save(self, *objs, condition=None, atomic=False) -> "WriteTransaction": """ Add one or more objects to be saved in this transaction. At most 10 items can be ch... |
self._extend([TxItem.new("save", obj, condition, atomic) for obj in objs])
return self |
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def encode(self, cube_dimensions):
""" Produces a numpy array of integers which encode the supplied cube dimensions. """ |
return np.asarray([getattr(cube_dimensions[d], s)
for d in self._dimensions
for s in self._schema],
dtype=np.int32) |
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def decode(self, descriptor):
""" Produce a list of dictionaries for each dimension in this transcoder """ |
i = iter(descriptor)
n = len(self._schema)
# Add the name key to our schema
schema = self._schema + ('name',)
# For each dimensions, generator takes n items off iterator
# wrapping the descriptor, making a tuple with the dimension
# name appended
tuple_g... |
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def dl_cub(cub_url, cub_archive_name):
""" Download cub archive from cub_url and store it in cub_archive_name """ |
with open(cub_archive_name, 'wb') as f:
remote_file = urllib2.urlopen(cub_url)
meta = remote_file.info()
# The server may provide us with the size of the file.
cl_header = meta.getheaders("Content-Length")
remote_file_size = int(cl_header[0]) if len(cl_header) > 0 else None... |
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def sha_hash_file(filename):
""" Compute the SHA1 hash of filename """ |
hash_sha = hashlib.sha1()
with open(filename, 'rb') as f:
for chunk in iter(lambda: f.read(1024*1024), b""):
hash_sha.update(chunk)
return hash_sha.hexdigest() |
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def install_cub(mb_inc_path):
""" Downloads and installs cub into mb_inc_path """ |
cub_url = 'https://github.com/NVlabs/cub/archive/1.6.4.zip'
cub_sha_hash = '0d5659200132c2576be0b3959383fa756de6105d'
cub_version_str = 'Current release: v1.6.4 (12/06/2016)'
cub_zip_file = 'cub.zip'
cub_zip_dir = 'cub-1.6.4'
cub_unzipped_path = os.path.join(mb_inc_path, cub_zip_dir)
cub_ne... |
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def create_tensorflow_extension(nvcc_settings, device_info):
""" Create an extension that builds the custom tensorflow ops """ |
import tensorflow as tf
import glob
use_cuda = (bool(nvcc_settings['cuda_available'])
and tf.test.is_built_with_cuda())
# Source and includes
source_path = os.path.join('montblanc', 'impl', 'rime', 'tensorflow', 'rime_ops')
sources = glob.glob(os.path.join(source_path, '*.cpp'))
... |
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def updated_dimensions(self):
""" Inform montblanc about dimension sizes """ |
return [("ntime", args.ntime), # Timesteps
("nchan", args.nchan), # Channels
("na", args.na), # Antenna
("npsrc", len(lm_coords))] |
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def point_lm(self, context):
""" Supply point source lm coordinates to montblanc """ |
# Shape (npsrc, 2)
(ls, us), _ = context.array_extents(context.name)
return np.asarray(lm_coords[ls:us], dtype=context.dtype) |
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def point_stokes(self, context):
""" Supply point source stokes parameters to montblanc """ |
# Shape (npsrc, ntime, 4)
(ls, us), (lt, ut), (l, u) = context.array_extents(context.name)
data = np.empty(context.shape, context.dtype)
data[ls:us,:,l:u] = np.asarray(lm_stokes)[ls:us,None,:]
return data |
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def uvw(self, context):
""" Supply UVW antenna coordinates to montblanc """ |
# Shape (ntime, na, 3)
(lt, ut), (la, ua), (l, u) = context.array_extents(context.name)
# Create empty UVW coordinates
data = np.empty(context.shape, context.dtype)
data[:,:,0] = np.arange(la+1, ua+1) # U = antenna index
data[:,:,1] = 0 # V = ... |
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def nr_of_baselines(na, auto_correlations=False):
""" Compute the number of baselines for the given number of antenna. Can specify whether auto-correlations shou... |
m = (na-1) if auto_correlations is False else (na+1)
return (na*m)//2 |
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def nr_of_antenna(nbl, auto_correlations=False):
""" Compute the number of antenna for the given number of baselines. Can specify whether auto-correlations shoul... |
t = 1 if auto_correlations is False else -1
return int(t + math.sqrt(1 + 8*nbl)) // 2 |
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def array_bytes(shape, dtype):
""" Estimates the memory in bytes required for an array of the supplied shape and dtype """ |
return np.product(shape)*np.dtype(dtype).itemsize |
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def random_like(ary=None, shape=None, dtype=None):
""" Returns a random array of the same shape and type as the supplied array argument, or the supplied shape an... |
if ary is not None:
shape, dtype = ary.shape, ary.dtype
elif shape is None or dtype is None:
raise ValueError((
'random_like(ary, shape, dtype) must be supplied '
'with either an array argument, or the shape and dtype '
'of the desired random array.'))
i... |
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