INSTRUCTION stringlengths 1 46.3k | RESPONSE stringlengths 75 80.2k |
|---|---|
one iteration of k-means | def _recenter(self):
"""
one iteration of k-means
"""
for split_idx in range(len(self._splits)):
split = self._splits[split_idx]
len_idx = self._split2len_idx[split]
if split == self._splits[-1]:
continue
right_split = self.... |
Index every sentence into a cluster | def _reindex(self):
"""
Index every sentence into a cluster
"""
self._len2split_idx = {}
last_split = -1
for split_idx, split in enumerate(self._splits):
self._len2split_idx.update(
dict(list(zip(list(range(last_split + 1, split)), [split_idx] ... |
Build a pair of GNMT encoder/decoder
Parameters
----------
cell_type : str or type
attention_cell : str or AttentionCell
num_layers : int
num_bi_layers : int
hidden_size : int
dropout : float
use_residual : bool
i2h_weight_initializer : mx.init.Initializer or None
h2h_weight... | def get_gnmt_encoder_decoder(cell_type='lstm', attention_cell='scaled_luong', num_layers=2,
num_bi_layers=1, hidden_size=128, dropout=0.0, use_residual=False,
i2h_weight_initializer=None, h2h_weight_initializer=None,
i2h_bias_initial... |
Initialize the state from the encoder outputs.
Parameters
----------
encoder_outputs : list
encoder_valid_length : NDArray or None
Returns
-------
decoder_states : list
The decoder states, includes:
- rnn_states : NDArray
- a... | def init_state_from_encoder(self, encoder_outputs, encoder_valid_length=None):
"""Initialize the state from the encoder outputs.
Parameters
----------
encoder_outputs : list
encoder_valid_length : NDArray or None
Returns
-------
decoder_states : list
... |
Decode the decoder inputs. This function is only used for training.
Parameters
----------
inputs : NDArray, Shape (batch_size, length, C_in)
states : list of NDArrays or None
Initial states. The list of initial decoder states
valid_length : NDArray or None
... | def decode_seq(self, inputs, states, valid_length=None):
"""Decode the decoder inputs. This function is only used for training.
Parameters
----------
inputs : NDArray, Shape (batch_size, length, C_in)
states : list of NDArrays or None
Initial states. The list of init... |
Transform instance to inputs for MLM and NSP. | def transform(instance, tokenizer, max_seq_length, max_predictions_per_seq, do_pad=True):
"""Transform instance to inputs for MLM and NSP."""
pad = tokenizer.convert_tokens_to_ids(['[PAD]'])[0]
input_ids = tokenizer.convert_tokens_to_ids(instance.tokens)
input_mask = [1] * len(input_ids)
segment_ids... |
Write to numpy files from `TrainingInstance`s. | def write_to_files_np(features, tokenizer, max_seq_length,
max_predictions_per_seq, output_files):
# pylint: disable=unused-argument
"""Write to numpy files from `TrainingInstance`s."""
next_sentence_labels = []
valid_lengths = []
assert len(output_files) == 1, 'numpy format o... |
Create IndexedRecordIO files from `TrainingInstance`s. | def write_to_files_rec(instances, tokenizer, max_seq_length,
max_predictions_per_seq, output_files):
"""Create IndexedRecordIO files from `TrainingInstance`s."""
writers = []
for output_file in output_files:
writers.append(
mx.recordio.MXIndexedRecordIO(
... |
Create `TrainingInstance`s from raw text. | def create_training_instances(x):
"""Create `TrainingInstance`s from raw text."""
(input_files, out, tokenizer, max_seq_length, dupe_factor,
short_seq_prob, masked_lm_prob, max_predictions_per_seq, rng) = x
time_start = time.time()
logging.info('Processing %s', input_files)
all_documents = [[]]... |
Creates `TrainingInstance`s for a single document. | def create_instances_from_document(
all_documents, document_index, max_seq_length, short_seq_prob,
masked_lm_prob, max_predictions_per_seq, vocab_words, rng):
"""Creates `TrainingInstance`s for a single document."""
document = all_documents[document_index]
# Account for [CLS], [SEP], [SEP]
... |
Creates the predictions for the masked LM objective. | def create_masked_lm_predictions(tokens, masked_lm_prob,
max_predictions_per_seq, vocab_words, rng):
"""Creates the predictions for the masked LM objective."""
cand_indexes = []
for (i, token) in enumerate(tokens):
if token in ['[CLS]', '[SEP]']:
continu... |
Truncates a pair of sequences to a maximum sequence length. | def truncate_seq_pair(tokens_a, tokens_b, max_num_tokens, rng):
"""Truncates a pair of sequences to a maximum sequence length."""
while True:
total_length = len(tokens_a) + len(tokens_b)
if total_length <= max_num_tokens:
break
trunc_tokens = tokens_a if len(tokens_a) > len(... |
Main function. | def main():
"""Main function."""
time_start = time.time()
logging.info('loading vocab file from dataset: %s', args.vocab)
vocab_obj = nlp.data.utils._load_pretrained_vocab(args.vocab)
tokenizer = BERTTokenizer(
vocab=vocab_obj, lower='uncased' in args.vocab)
input_files = []
for inp... |
GluonNLP specific code to convert the original vocabulary to nlp.vocab.BERTVocab. | def convert_vocab(vocab_file):
"""GluonNLP specific code to convert the original vocabulary to nlp.vocab.BERTVocab."""
original_vocab = load_vocab(vocab_file)
token_to_idx = dict(original_vocab)
num_tokens = len(token_to_idx)
idx_to_token = [None] * len(original_vocab)
for word in original_vocab... |
read tensorflow checkpoint | def read_tf_checkpoint(path):
"""read tensorflow checkpoint"""
from tensorflow.python import pywrap_tensorflow
tensors = {}
reader = pywrap_tensorflow.NewCheckpointReader(path)
var_to_shape_map = reader.get_variable_to_shape_map()
for key in sorted(var_to_shape_map):
tensor = reader.get_... |
profile the program between [start_step, end_step). | def profile(curr_step, start_step, end_step, profile_name='profile.json',
early_exit=True):
"""profile the program between [start_step, end_step)."""
if curr_step == start_step:
mx.nd.waitall()
mx.profiler.set_config(profile_memory=False, profile_symbolic=True,
... |
Loads a vocabulary file into a dictionary. | def load_vocab(vocab_file):
"""Loads a vocabulary file into a dictionary."""
vocab = collections.OrderedDict()
index = 0
with io.open(vocab_file, 'r') as reader:
while True:
token = reader.readline()
if not token:
break
token = token.strip()
... |
r"""
Forward computation for char_encoder
Parameters
----------
inputs: NDArray
The input tensor is of shape `(seq_len, batch_size, embedding_size)` TNC.
mask: NDArray
The mask applied to the input of shape `(seq_len, batch_size)`, the mask will
... | def hybrid_forward(self, F, inputs, mask=None): # pylint: disable=arguments-differ
r"""
Forward computation for char_encoder
Parameters
----------
inputs: NDArray
The input tensor is of shape `(seq_len, batch_size, embedding_size)` TNC.
mask: NDArray
... |
Init the sinusoid position encoding table | def _position_encoding_init(max_length, dim):
"""Init the sinusoid position encoding table """
position_enc = np.arange(max_length).reshape((-1, 1)) \
/ (np.power(10000, (2. / dim) * np.arange(dim).reshape((1, -1))))
# Apply the cosine to even columns and sin to odds.
position_enc[:, ... |
Build a pair of Parallel Transformer encoder/decoder
Parameters
----------
num_layers : int
num_heads : int
scaled : bool
units : int
hidden_size : int
dropout : float
use_residual : bool
max_src_length : int
max_tgt_length : int
weight_initializer : mx.init.Initializer ... | def get_transformer_encoder_decoder(num_layers=2,
num_heads=8, scaled=True,
units=512, hidden_size=2048, dropout=0.0, use_residual=True,
max_src_length=50, max_tgt_length=50,
w... |
r"""Transformer pretrained model.
Embedding size is 400, and hidden layer size is 1150.
Parameters
----------
dataset_name : str or None, default None
src_vocab : gluonnlp.Vocab or None, default None
tgt_vocab : gluonnlp.Vocab or None, default None
pretrained : bool, default False
... | def transformer_en_de_512(dataset_name=None, src_vocab=None, tgt_vocab=None, pretrained=False,
ctx=cpu(), root=os.path.join(get_home_dir(), 'models'), **kwargs):
r"""Transformer pretrained model.
Embedding size is 400, and hidden layer size is 1150.
Parameters
----------
... |
Get activation block based on the name. | def _get_activation(self, act):
"""Get activation block based on the name. """
if isinstance(act, str):
if act.lower() == 'gelu':
return GELU()
else:
return gluon.nn.Activation(act)
assert isinstance(act, gluon.Block)
return act |
Position-wise encoding of the inputs.
Parameters
----------
inputs : Symbol or NDArray
Input sequence. Shape (batch_size, length, C_in)
Returns
-------
outputs : Symbol or NDArray
Shape (batch_size, length, C_out) | def hybrid_forward(self, F, inputs): # pylint: disable=arguments-differ
# pylint: disable=unused-argument
"""Position-wise encoding of the inputs.
Parameters
----------
inputs : Symbol or NDArray
Input sequence. Shape (batch_size, length, C_in)
Returns
... |
Transformer Encoder Attention Cell.
Parameters
----------
inputs : Symbol or NDArray
Input sequence. Shape (batch_size, length, C_in)
mask : Symbol or NDArray or None
Mask for inputs. Shape (batch_size, length, length)
Returns
-------
enc... | def hybrid_forward(self, F, inputs, mask=None): # pylint: disable=arguments-differ
# pylint: disable=unused-argument
"""Transformer Encoder Attention Cell.
Parameters
----------
inputs : Symbol or NDArray
Input sequence. Shape (batch_size, length, C_in)
mask... |
Transformer Decoder Attention Cell.
Parameters
----------
inputs : Symbol or NDArray
Input sequence. Shape (batch_size, length, C_in)
mem_value : Symbol or NDArrays
Memory value, i.e. output of the encoder. Shape (batch_size, mem_length, C_in)
mask : Symb... | def hybrid_forward(self, F, inputs, mem_value, mask=None, mem_mask=None): #pylint: disable=unused-argument
# pylint: disable=arguments-differ
"""Transformer Decoder Attention Cell.
Parameters
----------
inputs : Symbol or NDArray
Input sequence. Shape (batch_size, ... |
Initialize the state from the encoder outputs.
Parameters
----------
encoder_outputs : list
encoder_valid_length : NDArray or None
Returns
-------
decoder_states : list
The decoder states, includes:
- mem_value : NDArray
- me... | def init_state_from_encoder(self, encoder_outputs, encoder_valid_length=None):
"""Initialize the state from the encoder outputs.
Parameters
----------
encoder_outputs : list
encoder_valid_length : NDArray or None
Returns
-------
decoder_states : list
... |
Decode the decoder inputs. This function is only used for training.
Parameters
----------
inputs : NDArray, Shape (batch_size, length, C_in)
states : list of NDArrays or None
Initial states. The list of decoder states
valid_length : NDArray or None
Valid ... | def decode_seq(self, inputs, states, valid_length=None):
"""Decode the decoder inputs. This function is only used for training.
Parameters
----------
inputs : NDArray, Shape (batch_size, length, C_in)
states : list of NDArrays or None
Initial states. The list of deco... |
Perform forward and backward computation for a batch of src seq and dst seq | def forward_backward(self, x):
"""Perform forward and backward computation for a batch of src seq and dst seq"""
(src_seq, tgt_seq, src_valid_length, tgt_valid_length), batch_size = x
with mx.autograd.record():
out, _ = self._model(src_seq, tgt_seq[:, :-1],
... |
Parse arguments. | def parse_args():
"""
Parse arguments.
"""
parser = argparse.ArgumentParser()
parser.add_argument('--gpu-id', type=int, default=0,
help='GPU id (-1 means CPU)')
parser.add_argument('--train-file', default='snli_1.0/snli_1.0_train.txt',
help='traini... |
Train model and validate/save every epoch. | def train_model(model, train_data_loader, val_data_loader, embedding, ctx, args):
"""
Train model and validate/save every epoch.
"""
logger.info(vars(args))
# Initialization
model.hybridize()
model.collect_params().initialize(mx.init.Normal(0.01), ctx=ctx)
model.word_emb.weight.set_data... |
Entry point: train or test. | def main(args):
"""
Entry point: train or test.
"""
json.dump(vars(args), open(os.path.join(args.output_dir, 'config.json'), 'w'))
if args.gpu_id == -1:
ctx = mx.cpu()
else:
ctx = mx.gpu(args.gpu_id)
mx.random.seed(args.seed, ctx=ctx)
if args.mode == 'train':
t... |
Draw samples from uniform distribution and return sampled candidates.
Parameters
----------
candidates_like: mxnet.nd.NDArray or mxnet.sym.Symbol
This input specifies the shape of the to be sampled candidates. #
TODO shape selection is not yet supported. Shape must be sp... | def hybrid_forward(self, F, candidates_like, prob, alias):
# pylint: disable=unused-argument
"""Draw samples from uniform distribution and return sampled candidates.
Parameters
----------
candidates_like: mxnet.nd.NDArray or mxnet.sym.Symbol
This input specifies the ... |
r"""Add a handler sending log messages to a sink adequately configured.
Parameters
----------
sink : |file-like object|_, |str|, |Path|, |function|_, |Handler| or |class|_
An object in charge of receiving formatted logging messages and propagating them to an
appropriate ... | def add(
self,
sink,
*,
level=_defaults.LOGURU_LEVEL,
format=_defaults.LOGURU_FORMAT,
filter=_defaults.LOGURU_FILTER,
colorize=_defaults.LOGURU_COLORIZE,
serialize=_defaults.LOGURU_SERIALIZE,
backtrace=_defaults.LOGURU_BACKTRACE,
diagnose=_... |
Remove a previously added handler and stop sending logs to its sink.
Parameters
----------
handler_id : |int| or ``None``
The id of the sink to remove, as it was returned by the |add| method. If ``None``, all
handlers are removed. The pre-configured handler is guaranteed... | def remove(self, handler_id=None):
"""Remove a previously added handler and stop sending logs to its sink.
Parameters
----------
handler_id : |int| or ``None``
The id of the sink to remove, as it was returned by the |add| method. If ``None``, all
handlers are rem... |
Return a decorator to automatically log possibly caught error in wrapped function.
This is useful to ensure unexpected exceptions are logged, the entire program can be
wrapped by this method. This is also very useful to decorate |Thread.run| methods while
using threads to propagate errors to th... | def catch(
self,
exception=Exception,
*,
level="ERROR",
reraise=False,
message="An error has been caught in function '{record[function]}', "
"process '{record[process].name}' ({record[process].id}), "
"thread '{record[thread].name}' ({record[thread].id}):"... |
r"""Parametrize a logging call to slightly change generated log message.
Parameters
----------
exception : |bool|, |tuple| or |Exception|, optional
If it does not evaluate as ``False``, the passed exception is formatted and added to the
log message. It could be an |Excep... | def opt(self, *, exception=None, record=False, lazy=False, ansi=False, raw=False, depth=0):
r"""Parametrize a logging call to slightly change generated log message.
Parameters
----------
exception : |bool|, |tuple| or |Exception|, optional
If it does not evaluate as ``False`... |
Bind attributes to the ``extra`` dict of each logged message record.
This is used to add custom context to each logging call.
Parameters
----------
**kwargs
Mapping between keys and values that will be added to the ``extra`` dict.
Returns
-------
:c... | def bind(_self, **kwargs):
"""Bind attributes to the ``extra`` dict of each logged message record.
This is used to add custom context to each logging call.
Parameters
----------
**kwargs
Mapping between keys and values that will be added to the ``extra`` dict.
... |
Add, update or retrieve a logging level.
Logging levels are defined by their ``name`` to which a severity ``no``, an ansi ``color``
and an ``icon`` are associated and possibly modified at run-time. To |log| to a custom
level, you should necessarily use its name, the severity number is not linke... | def level(self, name, no=None, color=None, icon=None):
"""Add, update or retrieve a logging level.
Logging levels are defined by their ``name`` to which a severity ``no``, an ansi ``color``
and an ``icon`` are associated and possibly modified at run-time. To |log| to a custom
level, you... |
Configure the core logger.
It should be noted that ``extra`` values set using this function are available across all
modules, so this is the best way to set overall default values.
Parameters
----------
handlers : |list| of |dict|, optional
A list of each handler to... | def configure(self, *, handlers=None, levels=None, extra=None, activation=None):
"""Configure the core logger.
It should be noted that ``extra`` values set using this function are available across all
modules, so this is the best way to set overall default values.
Parameters
--... |
Parse raw logs and extract each entry as a |dict|.
The logging format has to be specified as the regex ``pattern``, it will then be
used to parse the ``file`` and retrieve each entries based on the named groups present
in the regex.
Parameters
----------
file : |str|, |... | def parse(file, pattern, *, cast={}, chunk=2 ** 16):
"""
Parse raw logs and extract each entry as a |dict|.
The logging format has to be specified as the regex ``pattern``, it will then be
used to parse the ``file`` and retrieve each entries based on the named groups present
in ... |
r"""Log ``_message.format(*args, **kwargs)`` with severity ``_level``. | def log(_self, _level, _message, *args, **kwargs):
r"""Log ``_message.format(*args, **kwargs)`` with severity ``_level``."""
logger = _self.opt(
exception=_self._exception,
record=_self._record,
lazy=_self._lazy,
ansi=_self._ansi,
raw=_self._ra... |
Deprecated function to |add| a new handler.
Warnings
--------
.. deprecated:: 0.2.2
``start()`` will be removed in Loguru 1.0.0, it is replaced by ``add()`` which is a less
confusing name. | def start(self, *args, **kwargs):
"""Deprecated function to |add| a new handler.
Warnings
--------
.. deprecated:: 0.2.2
``start()`` will be removed in Loguru 1.0.0, it is replaced by ``add()`` which is a less
confusing name.
"""
warnings.warn(
... |
Deprecated function to |remove| an existing handler.
Warnings
--------
.. deprecated:: 0.2.2
``stop()`` will be removed in Loguru 1.0.0, it is replaced by ``remove()`` which is a less
confusing name. | def stop(self, *args, **kwargs):
"""Deprecated function to |remove| an existing handler.
Warnings
--------
.. deprecated:: 0.2.2
``stop()`` will be removed in Loguru 1.0.0, it is replaced by ``remove()`` which is a less
confusing name.
"""
warnings.wa... |
Converts a django rest frameworks field to a graphql field
and marks the field as required if we are creating an input type
and the field itself is required | def convert_serializer_field(field, is_input=True):
"""
Converts a django rest frameworks field to a graphql field
and marks the field as required if we are creating an input type
and the field itself is required
"""
graphql_type = get_graphene_type_from_serializer_field(field)
args = []
... |
If the given setting is a string import notation,
then perform the necessary import or imports. | def perform_import(val, setting_name):
"""
If the given setting is a string import notation,
then perform the necessary import or imports.
"""
if val is None:
return None
elif isinstance(val, six.string_types):
return import_from_string(val, setting_name)
elif isinstance(val,... |
Create a filterset for the given model using the provided meta data | def custom_filterset_factory(model, filterset_base_class=FilterSet, **meta):
""" Create a filterset for the given model using the provided meta data
"""
meta.update({"model": model})
meta_class = type(str("Meta"), (object,), meta)
filterset = type(
str("%sFilterSet" % model._meta.object_name... |
Convert the filter value to a primary key before filtering | def filter(self, qs, value):
""" Convert the filter value to a primary key before filtering """
_id = None
if value is not None:
_, _id = from_global_id(value)
return super(GlobalIDFilter, self).filter(qs, _id) |
Inspect a FilterSet and produce the arguments to pass to
a Graphene Field. These arguments will be available to
filter against in the GraphQL | def get_filtering_args_from_filterset(filterset_class, type):
""" Inspect a FilterSet and produce the arguments to pass to
a Graphene Field. These arguments will be available to
filter against in the GraphQL
"""
from ..forms.converter import convert_form_field
args = {}
for name, fi... |
Map per-topic results to per-topic futures in futmap.
The result value of each (successful) future is None. | def _make_topics_result(f, futmap):
"""
Map per-topic results to per-topic futures in futmap.
The result value of each (successful) future is None.
"""
try:
result = f.result()
for topic, error in result.items():
fut = futmap.get(topic, Non... |
Map per-resource results to per-resource futures in futmap.
The result value of each (successful) future is a ConfigResource. | def _make_resource_result(f, futmap):
"""
Map per-resource results to per-resource futures in futmap.
The result value of each (successful) future is a ConfigResource.
"""
try:
result = f.result()
for resource, configs in result.items():
fu... |
Create futures and a futuremap for the keys in futmap_keys,
and create a request-level future to be bassed to the C API. | def _make_futures(futmap_keys, class_check, make_result_fn):
"""
Create futures and a futuremap for the keys in futmap_keys,
and create a request-level future to be bassed to the C API.
"""
futmap = {}
for key in futmap_keys:
if class_check is not None and not... |
Create new topics in cluster.
The future result() value is None.
:param list(NewTopic) new_topics: New topics to be created.
:param float operation_timeout: Set broker's operation timeout in seconds,
controlling how long the CreateTopics request will block
o... | def create_topics(self, new_topics, **kwargs):
"""
Create new topics in cluster.
The future result() value is None.
:param list(NewTopic) new_topics: New topics to be created.
:param float operation_timeout: Set broker's operation timeout in seconds,
controlli... |
Delete topics.
The future result() value is None.
:param list(str) topics: Topics to mark for deletion.
:param float operation_timeout: Set broker's operation timeout in seconds,
controlling how long the DeleteTopics request will block
on the broker waiting ... | def delete_topics(self, topics, **kwargs):
"""
Delete topics.
The future result() value is None.
:param list(str) topics: Topics to mark for deletion.
:param float operation_timeout: Set broker's operation timeout in seconds,
controlling how long the DeleteTop... |
Create additional partitions for the given topics.
The future result() value is None.
:param list(NewPartitions) new_partitions: New partitions to be created.
:param float operation_timeout: Set broker's operation timeout in seconds,
controlling how long the CreatePartitions ... | def create_partitions(self, new_partitions, **kwargs):
"""
Create additional partitions for the given topics.
The future result() value is None.
:param list(NewPartitions) new_partitions: New partitions to be created.
:param float operation_timeout: Set broker's operation timeo... |
Get configuration for the specified resources.
The future result() value is a dict(<configname, ConfigEntry>).
:warning: Multiple resources and resource types may be requested,
but at most one resource of type RESOURCE_BROKER is allowed
per call since these resource... | def describe_configs(self, resources, **kwargs):
"""
Get configuration for the specified resources.
The future result() value is a dict(<configname, ConfigEntry>).
:warning: Multiple resources and resource types may be requested,
but at most one resource of type RESOU... |
Parse a schema given a schema string | def loads(schema_str):
""" Parse a schema given a schema string """
try:
if sys.version_info[0] < 3:
return schema.parse(schema_str)
else:
return schema.Parse(schema_str)
except schema.SchemaParseException as e:
raise ClientError("Schema parse failed: %s" % (s... |
Asynchronously sends message to Kafka by encoding with specified or default avro schema.
:param str topic: topic name
:param object value: An object to serialize
:param str value_schema: Avro schema for value
:param object key: An object to serialize
:param s... | def produce(self, **kwargs):
"""
Asynchronously sends message to Kafka by encoding with specified or default avro schema.
:param str topic: topic name
:param object value: An object to serialize
:param str value_schema: Avro schema for value
:param ob... |
This is an overriden method from confluent_kafka.Consumer class. This handles message
deserialization using avro schema
:param float timeout: Poll timeout in seconds (default: indefinite)
:returns: message object with deserialized key and value as dict objects
:rtype: Message | def poll(self, timeout=None):
"""
This is an overriden method from confluent_kafka.Consumer class. This handles message
deserialization using avro schema
:param float timeout: Poll timeout in seconds (default: indefinite)
:returns: message object with deserialized key and value ... |
Given a parsed avro schema, encode a record for the given topic. The
record is expected to be a dictionary.
The schema is registered with the subject of 'topic-value'
:param str topic: Topic name
:param schema schema: Avro Schema
:param dict record: An object to serialize
... | def encode_record_with_schema(self, topic, schema, record, is_key=False):
"""
Given a parsed avro schema, encode a record for the given topic. The
record is expected to be a dictionary.
The schema is registered with the subject of 'topic-value'
:param str topic: Topic name
... |
Encode a record with a given schema id. The record must
be a python dictionary.
:param int schema_id: integer ID
:param dict record: An object to serialize
:param bool is_key: If the record is a key
:returns: decoder function
:rtype: func | def encode_record_with_schema_id(self, schema_id, record, is_key=False):
"""
Encode a record with a given schema id. The record must
be a python dictionary.
:param int schema_id: integer ID
:param dict record: An object to serialize
:param bool is_key: If the record is a... |
Decode a message from kafka that has been encoded for use with
the schema registry.
:param str|bytes or None message: message key or value to be decoded
:returns: Decoded message contents.
:rtype dict: | def decode_message(self, message, is_key=False):
"""
Decode a message from kafka that has been encoded for use with
the schema registry.
:param str|bytes or None message: message key or value to be decoded
:returns: Decoded message contents.
:rtype dict:
"""
... |
Delivery report callback called (from flush()) on successful or failed delivery of the message. | def acked(err, msg):
"""Delivery report callback called (from flush()) on successful or failed delivery of the message."""
if err is not None:
print("failed to deliver message: {}".format(err.str()))
else:
print("produced to: {} [{}] @ {}".format(msg.topic(), msg.partition(), msg.offset())) |
Create topics | def example_create_topics(a, topics):
""" Create topics """
new_topics = [NewTopic(topic, num_partitions=3, replication_factor=1) for topic in topics]
# Call create_topics to asynchronously create topics, a dict
# of <topic,future> is returned.
fs = a.create_topics(new_topics)
# Wait for opera... |
delete topics | def example_delete_topics(a, topics):
""" delete topics """
# Call delete_topics to asynchronously delete topics, a future is returned.
# By default this operation on the broker returns immediately while
# topics are deleted in the background. But here we give it some time (30s)
# to propagate in t... |
create partitions | def example_create_partitions(a, topics):
""" create partitions """
new_parts = [NewPartitions(topic, int(new_total_count)) for
topic, new_total_count in zip(topics[0::2], topics[1::2])]
# Try switching validate_only to True to only validate the operation
# on the broker but not actua... |
describe configs | def example_describe_configs(a, args):
""" describe configs """
resources = [ConfigResource(restype, resname) for
restype, resname in zip(args[0::2], args[1::2])]
fs = a.describe_configs(resources)
# Wait for operation to finish.
for res, f in fs.items():
try:
... |
Alter configs atomically, replacing non-specified
configuration properties with their default values. | def example_alter_configs(a, args):
""" Alter configs atomically, replacing non-specified
configuration properties with their default values.
"""
resources = []
for restype, resname, configs in zip(args[0::3], args[1::3], args[2::3]):
resource = ConfigResource(restype, resname)
reso... |
The AlterConfigs Kafka API requires all configuration to be passed,
any left out configuration properties will revert to their default settings.
This example shows how to just modify the supplied configuration entries
by first reading the configuration from the broker, updating the supplied
configurati... | def example_delta_alter_configs(a, args):
"""
The AlterConfigs Kafka API requires all configuration to be passed,
any left out configuration properties will revert to their default settings.
This example shows how to just modify the supplied configuration entries
by first reading the configuration ... |
list topics and cluster metadata | def example_list(a, args):
""" list topics and cluster metadata """
if len(args) == 0:
what = "all"
else:
what = args[0]
md = a.list_topics(timeout=10)
print("Cluster {} metadata (response from broker {}):".format(md.cluster_id, md.orig_broker_name))
if what in ("all", "broke... |
Resolve embedded plugins from the wheel's library directory.
For internal module use only.
:param str plugins: The plugin.library.paths value | def _resolve_plugins(plugins):
""" Resolve embedded plugins from the wheel's library directory.
For internal module use only.
:param str plugins: The plugin.library.paths value
"""
import os
from sys import platform
# Location of __init__.py and the embedded library directory
... |
Handle delivery reports served from producer.poll.
This callback takes an extra argument, obj.
This allows the original contents to be included for debugging purposes. | def on_delivery(err, msg, obj):
"""
Handle delivery reports served from producer.poll.
This callback takes an extra argument, obj.
This allows the original contents to be included for debugging purposes.
"""
if err is not None:
print('Message {} delivery failed for user {} wi... |
Produce User records | def produce(topic, conf):
"""
Produce User records
"""
from confluent_kafka.avro import AvroProducer
producer = AvroProducer(conf, default_value_schema=record_schema)
print("Producing user records to topic {}. ^c to exit.".format(topic))
while True:
# Instantiate new User, pop... |
Consume User records | def consume(topic, conf):
"""
Consume User records
"""
from confluent_kafka.avro import AvroConsumer
from confluent_kafka.avro.serializer import SerializerError
print("Consuming user records from topic {} with group {}. ^c to exit.".format(topic, conf["group.id"]))
c = AvroConsumer(con... |
POST /subjects/(string: subject)/versions
Register a schema with the registry under the given subject
and receive a schema id.
avro_schema must be a parsed schema from the python avro library
Multiple instances of the same schema will result in cache misses.
:param str subject... | def register(self, subject, avro_schema):
"""
POST /subjects/(string: subject)/versions
Register a schema with the registry under the given subject
and receive a schema id.
avro_schema must be a parsed schema from the python avro library
Multiple instances of the same s... |
DELETE /subjects/(string: subject)
Deletes the specified subject and its associated compatibility level if registered.
It is recommended to use this API only when a topic needs to be recycled or in development environments.
:param subject: subject name
:returns: version of the schema del... | def delete_subject(self, subject):
"""
DELETE /subjects/(string: subject)
Deletes the specified subject and its associated compatibility level if registered.
It is recommended to use this API only when a topic needs to be recycled or in development environments.
:param subject: s... |
GET /schemas/ids/{int: id}
Retrieve a parsed avro schema by id or None if not found
:param int schema_id: int value
:returns: Avro schema
:rtype: schema | def get_by_id(self, schema_id):
"""
GET /schemas/ids/{int: id}
Retrieve a parsed avro schema by id or None if not found
:param int schema_id: int value
:returns: Avro schema
:rtype: schema
"""
if schema_id in self.id_to_schema:
return self.id_t... |
POST /subjects/(string: subject)
Get the version of a schema for a given subject.
Returns None if not found.
:param str subject: subject name
:param: schema avro_schema: Avro schema
:returns: version
:rtype: int | def get_version(self, subject, avro_schema):
"""
POST /subjects/(string: subject)
Get the version of a schema for a given subject.
Returns None if not found.
:param str subject: subject name
:param: schema avro_schema: Avro schema
:returns: version
:rtyp... |
PUT /config/(string: subject)
Update the compatibility level for a subject. Level must be one of:
:param str level: ex: 'NONE','FULL','FORWARD', or 'BACKWARD' | def update_compatibility(self, level, subject=None):
"""
PUT /config/(string: subject)
Update the compatibility level for a subject. Level must be one of:
:param str level: ex: 'NONE','FULL','FORWARD', or 'BACKWARD'
"""
if level not in VALID_LEVELS:
raise C... |
GET /config
Get the current compatibility level for a subject. Result will be one of:
:param str subject: subject name
:raises ClientError: if the request was unsuccessful or an invalid compatibility level was returned
:returns: one of 'NONE','FULL','FORWARD', or 'BACKWARD'
:rt... | def get_compatibility(self, subject=None):
"""
GET /config
Get the current compatibility level for a subject. Result will be one of:
:param str subject: subject name
:raises ClientError: if the request was unsuccessful or an invalid compatibility level was returned
:ret... |
Download artifact from S3 and store in dirpath directory.
If the artifact is already downloaded nothing is done. | def download(self, dirpath):
""" Download artifact from S3 and store in dirpath directory.
If the artifact is already downloaded nothing is done. """
if os.path.isfile(self.lpath) and os.path.getsize(self.lpath) > 0:
return
print('Downloading %s -> %s' % (self.path, self.... |
Collect single S3 artifact
:param: path string: S3 path | def collect_single_s3(self, path):
""" Collect single S3 artifact
:param: path string: S3 path
"""
# The S3 folder contains the tokens needed to perform
# matching of project, gitref, etc.
folder = os.path.dirname(path)
rinfo = re.findall(r'(?P<tag>[^-]+)-(?P<v... |
Collect and download build-artifacts from S3 based on git reference | def collect_s3(self):
""" Collect and download build-artifacts from S3 based on git reference """
print('Collecting artifacts matching tag/sha %s from S3 bucket %s' % (self.gitref, s3_bucket))
self.s3 = boto3.resource('s3')
self.s3_bucket = self.s3.Bucket(s3_bucket)
self.s3.meta.... |
Collect artifacts from a local directory possibly previously
collected from s3 | def collect_local(self, path):
""" Collect artifacts from a local directory possibly previously
collected from s3 """
for f in os.listdir(path):
lpath = os.path.join(path, f)
if not os.path.isfile(lpath):
continue
Artifact(self, lpath) |
Return a value for 'name' from command line args then config file options.
Specify 'key' if the config file option is not the same as 'name'. | def _config(name, key=None, **kwargs):
'''
Return a value for 'name' from command line args then config file options.
Specify 'key' if the config file option is not the same as 'name'.
'''
if key is None:
key = name
if name in kwargs:
value = kwargs[name]
else:
value ... |
Add, replace, or update the A and PTR (reverse) records for a host.
CLI Example:
.. code-block:: bash
salt ns1 ddns.add_host example.com host1 60 10.1.1.1 | def add_host(zone, name, ttl, ip, nameserver='127.0.0.1', replace=True,
timeout=5, port=53, **kwargs):
'''
Add, replace, or update the A and PTR (reverse) records for a host.
CLI Example:
.. code-block:: bash
salt ns1 ddns.add_host example.com host1 60 10.1.1.1
'''
res = ... |
Delete the forward and reverse records for a host.
Returns true if any records are deleted.
CLI Example:
.. code-block:: bash
salt ns1 ddns.delete_host example.com host1 | def delete_host(zone, name, nameserver='127.0.0.1', timeout=5, port=53,
**kwargs):
'''
Delete the forward and reverse records for a host.
Returns true if any records are deleted.
CLI Example:
.. code-block:: bash
salt ns1 ddns.delete_host example.com host1
'''
fqd... |
Add, replace, or update a DNS record.
nameserver must be an IP address and the minion running this module
must have update privileges on that server.
If replace is true, first deletes all records for this name and type.
CLI Example:
.. code-block:: bash
salt ns1 ddns.update example.com ho... | def update(zone, name, ttl, rdtype, data, nameserver='127.0.0.1', timeout=5,
replace=False, port=53, **kwargs):
'''
Add, replace, or update a DNS record.
nameserver must be an IP address and the minion running this module
must have update privileges on that server.
If replace is true, fir... |
Set all Ansible modules callables
:return: | def _set_callables(modules):
'''
Set all Ansible modules callables
:return:
'''
def _set_function(cmd_name, doc):
'''
Create a Salt function for the Ansible module.
'''
def _cmd(*args, **kw):
'''
Call an Ansible module as a function from the Sa... |
Display help on Ansible standard module.
:param module:
:return: | def help(module=None, *args):
'''
Display help on Ansible standard module.
:param module:
:return:
'''
if not module:
raise CommandExecutionError('Please tell me what module you want to have helped with. '
'Or call "ansible.list" to know what is avail... |
Run Ansible Playbooks
:param playbook: Which playbook to run.
:param rundir: Directory to run `ansible-playbook` in. (Default: None)
:param check: don't make any changes; instead, try to predict some
of the changes that may occur (Default: False)
:param diff: when changing (small) fil... | def playbooks(playbook, rundir=None, check=False, diff=False, extra_vars=None,
flush_cache=False, forks=5, inventory=None, limit=None,
list_hosts=False, list_tags=False, list_tasks=False,
module_path=None, skip_tags=None, start_at_task=None,
syntax_check=False, ta... |
Get installed Ansible modules
:return: | def _get_modules_map(self, path=None):
'''
Get installed Ansible modules
:return:
'''
paths = {}
root = ansible.modules.__path__[0]
if not path:
path = root
for p_el in os.listdir(path):
p_el_path = os.path.join(path, p_el)
... |
Introspect Ansible module.
:param module:
:return: | def load_module(self, module):
'''
Introspect Ansible module.
:param module:
:return:
'''
m_ref = self._modules_map.get(module)
if m_ref is None:
raise LoaderError('Module "{0}" was not found'.format(module))
mod = importlib.import_module('ans... |
Return module map references.
:return: | def get_modules_list(self, pattern=None):
'''
Return module map references.
:return:
'''
if pattern and '*' not in pattern:
pattern = '*{0}*'.format(pattern)
modules = []
for m_name, m_path in self._modules_map.items():
m_path = m_path.spli... |
Call an Ansible module by invoking it.
:param module: the name of the module.
:param args: Arguments to the module
:param kwargs: keywords to the module
:return: | def call(self, module, *args, **kwargs):
'''
Call an Ansible module by invoking it.
:param module: the name of the module.
:param args: Arguments to the module
:param kwargs: keywords to the module
:return:
'''
module = self._resolver.load_module(module)
... |
Clean out a template temp file | def __clean_tmp(sfn):
'''
Clean out a template temp file
'''
if sfn.startswith(os.path.join(tempfile.gettempdir(),
salt.utils.files.TEMPFILE_PREFIX)):
# Don't remove if it exists in file_roots (any saltenv)
all_roots = itertools.chain.from_iterable(
... |
This function does NOT do any diffing, it just checks the old and new files
to see if either is binary, and provides an appropriate string noting the
difference between the two files. If neither file is binary, an empty
string is returned.
This function should only be run AFTER it has been determined t... | def _binary_replace(old, new):
'''
This function does NOT do any diffing, it just checks the old and new files
to see if either is binary, and provides an appropriate string noting the
difference between the two files. If neither file is binary, an empty
string is returned.
This function should... |
Returns a list of the lines in the string, breaking at line boundaries and
preserving a trailing newline (if present).
Essentially, this works like ``str.striplines(False)`` but preserves an
empty line at the end. This is equivalent to the following code:
.. code-block:: python
lines = str.sp... | def _splitlines_preserving_trailing_newline(str):
'''
Returns a list of the lines in the string, breaking at line boundaries and
preserving a trailing newline (if present).
Essentially, this works like ``str.striplines(False)`` but preserves an
empty line at the end. This is equivalent to the follo... |
Convert the group id to the group name on this system
gid
gid to convert to a group name
CLI Example:
.. code-block:: bash
salt '*' file.gid_to_group 0 | def gid_to_group(gid):
'''
Convert the group id to the group name on this system
gid
gid to convert to a group name
CLI Example:
.. code-block:: bash
salt '*' file.gid_to_group 0
'''
try:
gid = int(gid)
except ValueError:
# This is not an integer, mayb... |
Convert the group to the gid on this system
group
group to convert to its gid
CLI Example:
.. code-block:: bash
salt '*' file.group_to_gid root | def group_to_gid(group):
'''
Convert the group to the gid on this system
group
group to convert to its gid
CLI Example:
.. code-block:: bash
salt '*' file.group_to_gid root
'''
if group is None:
return ''
try:
if isinstance(group, int):
ret... |
Return the id of the group that owns a given file
path
file or directory of which to get the gid
follow_symlinks
indicated if symlinks should be followed
CLI Example:
.. code-block:: bash
salt '*' file.get_gid /etc/passwd
.. versionchanged:: 0.16.4
``follow_sym... | def get_gid(path, follow_symlinks=True):
'''
Return the id of the group that owns a given file
path
file or directory of which to get the gid
follow_symlinks
indicated if symlinks should be followed
CLI Example:
.. code-block:: bash
salt '*' file.get_gid /etc/passwd... |
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