uid stringlengths 24 24 | split stringclasses 1
value | category stringclasses 2
values | content stringlengths 5 482k | signature stringlengths 1 14k | suffix stringlengths 1 482k | prefix stringlengths 9 14k | prefix_token_count int64 3 5.01k | prefix_token_budget int64 64 256 | element_token_count int64 1 292k | signature_token_count int64 1 5.01k | prefix_context_token_count int64 0 255 | repo stringlengths 7 112 | path stringlengths 4 208 | language stringclasses 1
value | name stringlengths 1 218 | qualname stringlengths 1 218 | start_line int64 1 26.7k | end_line int64 1 26.7k | signature_start_line int64 1 26.7k | signature_end_line int64 1 26.7k | source_hash stringlengths 40 40 | source_dataset stringclasses 1
value | source_split stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7eb74fd6873f1d664a784e6f | train | function | def capture_init(init):
@functools.wraps(init)
def __init__(self, *args, **kwargs):
self._init_args_kwargs = (args, kwargs)
init(self, *args, **kwargs)
return __init__
| def capture_init(init):
@functools.wraps(init)
| def __init__(self, *args, **kwargs):
self._init_args_kwargs = (args, kwargs)
init(self, *args, **kwargs)
return __init__
| ().items()}
save_to = path
if str(path).endswith(".gz"):
save_to = gzip.open(path, "wb", compresslevel=5)
th.save((klass, args, kwargs, state), save_to)
def capture_init(init):
@functools.wraps(init)
| 64 | 64 | 54 | 14 | 50 | roger-tseng/demucs | demucs/utils.py | Python | capture_init | capture_init | 181 | 187 | 181 | 182 | 65685e51b32f6256f9171c52075a22a03b3b6382 | bigcode/the-stack | train |
71bafb548f041cb9bc460236 | train | function | def sizeof_fmt(num, suffix='B'):
"""
Given `num` bytes, return human readable size.
Taken from https://stackoverflow.com/a/1094933
"""
for unit in ['', 'Ki', 'Mi', 'Gi', 'Ti', 'Pi', 'Ei', 'Zi']:
if abs(num) < 1024.0:
return "%3.1f%s%s" % (num, unit, suffix)
num /= 1024.0
... | def sizeof_fmt(num, suffix='B'):
| """
Given `num` bytes, return human readable size.
Taken from https://stackoverflow.com/a/1094933
"""
for unit in ['', 'Ki', 'Mi', 'Gi', 'Ti', 'Pi', 'Ei', 'Zi']:
if abs(num) < 1024.0:
return "%3.1f%s%s" % (num, unit, suffix)
num /= 1024.0
return "%.1f%s%s" % (num, 'Yi... | .socket()
while True:
port = random.randint(low, high)
try:
sock.bind((host, port))
except OSError as error:
if error.errno == errno.EADDRINUSE:
continue
raise
return port
def sizeof_fmt(num, suffix='B'):
| 64 | 64 | 120 | 9 | 54 | roger-tseng/demucs | demucs/utils.py | Python | sizeof_fmt | sizeof_fmt | 67 | 76 | 67 | 67 | 78bc59baed57a72ab6c1e59c0066df6c2dd5033c | bigcode/the-stack | train |
fd0c43831408594a456cebbf | train | function | def average_metric(metric, count=1.):
"""
Average `metric` which should be a float across all hosts. `count` should be
the weight for this particular host (i.e. number of examples).
"""
metric = th.tensor([count, count * metric], dtype=th.float32, device='cuda')
distributed.all_reduce(metric, op... | def average_metric(metric, count=1.):
| """
Average `metric` which should be a float across all hosts. `count` should be
the weight for this particular host (i.e. number of examples).
"""
metric = th.tensor([count, count * metric], dtype=th.float32, device='cuda')
distributed.all_reduce(metric, op=distributed.ReduceOp.SUM)
return ... | if delta < 0:
raise ValueError("tensor must be larger than reference. " f"Delta is {delta}.")
if delta:
tensor = tensor[..., delta // 2:-(delta - delta // 2)]
return tensor
def average_metric(metric, count=1.):
| 64 | 64 | 101 | 10 | 53 | roger-tseng/demucs | demucs/utils.py | Python | average_metric | average_metric | 39 | 46 | 39 | 39 | d2e7403df41de7f0b6ae7c38baf9a9dd0de9c41c | bigcode/the-stack | train |
4c230fe5d72cb02bf4b19f7f | train | function | def center_trim(tensor, reference):
"""
Center trim `tensor` with respect to `reference`, along the last dimension.
`reference` can also be a number, representing the length to trim to.
If the size difference != 0 mod 2, the extra sample is removed on the right side.
"""
if hasattr(reference, "s... | def center_trim(tensor, reference):
| """
Center trim `tensor` with respect to `reference`, along the last dimension.
`reference` can also be a number, representing the length to trim to.
If the size difference != 0 mod 2, the extra sample is removed on the right side.
"""
if hasattr(reference, "size"):
reference = reference... | this source tree.
import errno
import functools
import gzip
import os
import random
import socket
import tempfile
import warnings
from contextlib import contextmanager
import torch as th
import tqdm
from torch import distributed
from torch.nn import functional as F
def center_trim(tensor, reference):
| 64 | 64 | 149 | 8 | 55 | roger-tseng/demucs | demucs/utils.py | Python | center_trim | center_trim | 23 | 36 | 23 | 23 | a4d3be57e4417ec3491ff9b47d9637497726f4a4 | bigcode/the-stack | train |
cc81ca6c8c7d7d2a2b170552 | train | function | def apply_model(model, emb, mix, shifts=None, split=False, progress=False):
"""
Apply model to a given mixture.
Args:
shifts (int): if > 0, will shift in time `mix` by a random amount between 0 and 0.5 sec
and apply the oppositve shift to the output. This is repeated `shifts` time and
... | def apply_model(model, emb, mix, shifts=None, split=False, progress=False):
| """
Apply model to a given mixture.
Args:
shifts (int): if > 0, will shift in time `mix` by a random amount between 0 and 0.5 sec
and apply the oppositve shift to the output. This is repeated `shifts` time and
all predictions are averaged. This effectively makes the model ti... | )
def human_seconds(seconds, display='.2f'):
"""
Given `seconds` seconds, return human readable duration.
"""
value = seconds * 1e6
ratios = [1e3, 1e3, 60, 60, 24]
names = ['us', 'ms', 's', 'min', 'hrs', 'days']
last = names.pop(0)
for name, ratio in zip(names, ratios):
if valu... | 153 | 154 | 515 | 18 | 135 | roger-tseng/demucs | demucs/utils.py | Python | apply_model | apply_model | 95 | 143 | 95 | 95 | 51e6e3de57de1c0fefd8f36acd96faaae360fd35 | bigcode/the-stack | train |
1a5d8b37197d454fb82e0c5e | train | function | def load_model(path):
with warnings.catch_warnings():
warnings.simplefilter("ignore")
load_from = path
if str(path).endswith(".gz"):
load_from = gzip.open(path, "rb")
klass, args, kwargs, state = th.load(load_from, 'cpu')
model = klass(*args, **kwargs)
model.load_... | def load_model(path):
| with warnings.catch_warnings():
warnings.simplefilter("ignore")
load_from = path
if str(path).endswith(".gz"):
load_from = gzip.open(path, "rb")
klass, args, kwargs, state = th.load(load_from, 'cpu')
model = klass(*args, **kwargs)
model.load_state_dict(state)
... | _filenames(count, delete=True, **kwargs):
names = []
try:
for _ in range(count):
names.append(tempfile.NamedTemporaryFile(delete=False).name)
yield names
finally:
if delete:
for name in names:
os.unlink(name)
def load_model(path):
| 64 | 64 | 84 | 5 | 59 | roger-tseng/demucs | demucs/utils.py | Python | load_model | load_model | 159 | 168 | 159 | 159 | 26a1edc78e0c32b0b28b95d7720f41581d2d7a27 | bigcode/the-stack | train |
c61231facaa47c97c1397afe | train | function | def save_model(model, path):
args, kwargs = model._init_args_kwargs
klass = model.__class__
state = {k: p.data.to('cpu') for k, p in model.state_dict().items()}
save_to = path
if str(path).endswith(".gz"):
save_to = gzip.open(path, "wb", compresslevel=5)
th.save((klass, args, kwargs, sta... | def save_model(model, path):
| args, kwargs = model._init_args_kwargs
klass = model.__class__
state = {k: p.data.to('cpu') for k, p in model.state_dict().items()}
save_to = path
if str(path).endswith(".gz"):
save_to = gzip.open(path, "wb", compresslevel=5)
th.save((klass, args, kwargs, state), save_to)
| str(path).endswith(".gz"):
load_from = gzip.open(path, "rb")
klass, args, kwargs, state = th.load(load_from, 'cpu')
model = klass(*args, **kwargs)
model.load_state_dict(state)
return model
def save_model(model, path):
| 64 | 64 | 95 | 7 | 56 | roger-tseng/demucs | demucs/utils.py | Python | save_model | save_model | 171 | 178 | 171 | 171 | 34e5728f727daf480085d21f1554049286c03b64 | bigcode/the-stack | train |
dee9afefb4cbd156d2247cbe | train | function | @contextmanager
def temp_filenames(count, delete=True, **kwargs):
names = []
try:
for _ in range(count):
names.append(tempfile.NamedTemporaryFile(delete=False).name)
yield names
finally:
if delete:
for name in names:
os.unlink(name)
| @contextmanager
def temp_filenames(count, delete=True, **kwargs):
| names = []
try:
for _ in range(count):
names.append(tempfile.NamedTemporaryFile(delete=False).name)
yield names
finally:
if delete:
for name in names:
os.unlink(name)
| 2))
with th.no_grad():
#print("model input size:", padded.unsqueeze(0).size(), emb.size())
out = model(padded.unsqueeze(0), emb)[0]
return center_trim(out, mix)
@contextmanager
def temp_filenames(count, delete=True, **kwargs):
| 64 | 64 | 65 | 16 | 48 | roger-tseng/demucs | demucs/utils.py | Python | temp_filenames | temp_filenames | 146 | 156 | 146 | 147 | 3421735b4667988db140a970f60bab0d09738636 | bigcode/the-stack | train |
292b05b7c9e64a4dff069eaf | train | function | def human_seconds(seconds, display='.2f'):
"""
Given `seconds` seconds, return human readable duration.
"""
value = seconds * 1e6
ratios = [1e3, 1e3, 60, 60, 24]
names = ['us', 'ms', 's', 'min', 'hrs', 'days']
last = names.pop(0)
for name, ratio in zip(names, ratios):
if value / ... | def human_seconds(seconds, display='.2f'):
| """
Given `seconds` seconds, return human readable duration.
"""
value = seconds * 1e6
ratios = [1e3, 1e3, 60, 60, 24]
names = ['us', 'ms', 's', 'min', 'hrs', 'days']
last = names.pop(0)
for name, ratio in zip(names, ratios):
if value / ratio < 0.3:
break
valu... | abs(num) < 1024.0:
return "%3.1f%s%s" % (num, unit, suffix)
num /= 1024.0
return "%.1f%s%s" % (num, 'Yi', suffix)
def human_seconds(seconds, display='.2f'):
| 64 | 64 | 134 | 10 | 54 | roger-tseng/demucs | demucs/utils.py | Python | human_seconds | human_seconds | 79 | 92 | 79 | 79 | 40580178a07a4a740af52fcee4b617d932814b1a | bigcode/the-stack | train |
1b46050b1552ba18ed95e6be | train | function | def free_port(host='', low=20000, high=40000):
"""
Return a port number that is most likely free.
This could suffer from a race condition although
it should be quite rare.
"""
sock = socket.socket()
while True:
port = random.randint(low, high)
try:
sock.bind((host... | def free_port(host='', low=20000, high=40000):
| """
Return a port number that is most likely free.
This could suffer from a race condition although
it should be quite rare.
"""
sock = socket.socket()
while True:
port = random.randint(low, high)
try:
sock.bind((host, port))
except OSError as error:
... | th.tensor([count, count * metric], dtype=th.float32, device='cuda')
distributed.all_reduce(metric, op=distributed.ReduceOp.SUM)
return metric[1].item() / metric[0].item()
def free_port(host='', low=20000, high=40000):
| 64 | 64 | 106 | 15 | 49 | roger-tseng/demucs | demucs/utils.py | Python | free_port | free_port | 49 | 64 | 49 | 49 | b078453857d6798b49bc7c144986b0eb8cebbd4e | bigcode/the-stack | train |
ad85a5b4f0f2be80c930ceb6 | train | function | def _choose_step(step):
if step is None:
return training_util.get_global_step()
if not isinstance(step, ops.Tensor):
return ops.convert_to_tensor(step, dtypes.int64)
return step
| def _choose_step(step):
| if step is None:
return training_util.get_global_step()
if not isinstance(step, ops.Tensor):
return ops.convert_to_tensor(step, dtypes.int64)
return step
| , "eval" if not name else "eval_" + name)
def _serialize_graph(arbitrary_graph):
if isinstance(arbitrary_graph, ops.Graph):
return arbitrary_graph.as_graph_def(add_shapes=True).SerializeToString()
else:
return arbitrary_graph.SerializeToString()
def _choose_step(step):
| 64 | 64 | 46 | 6 | 58 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | _choose_step | _choose_step | 552 | 557 | 552 | 552 | 7a24fd1a181395129f0a85643a116d67d940c142 | bigcode/the-stack | train |
a8a77284ad3c8aa7ca356574 | train | function | def create_summary_db_writer(db_uri,
experiment_name=None,
run_name=None,
user_name=None,
name=None):
"""Creates a summary database writer in the current context.
This can be used to write tensors fr... | def create_summary_db_writer(db_uri,
experiment_name=None,
run_name=None,
user_name=None,
name=None):
| """Creates a summary database writer in the current context.
This can be used to write tensors from the execution graph directly
to a database. Only SQLite is supported right now. This function
will create the schema if it doesn't exist. Entries in the Users,
Experiments, and Runs tables will be created auto... | with ops.device("cpu:0"):
if max_queue is None:
max_queue = constant_op.constant(10)
if flush_millis is None:
flush_millis = constant_op.constant(2 * 60 * 1000)
if filename_suffix is None:
filename_suffix = constant_op.constant("")
return _make_summary_writer(
name,
g... | 142 | 142 | 475 | 27 | 115 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | create_summary_db_writer | create_summary_db_writer | 213 | 261 | 213 | 217 | 9c876abceb5f182f1dbfae9b1684b939c9a4a86b | bigcode/the-stack | train |
891be56bdad4bc7d64579505 | train | function | def import_event(tensor, name=None):
"""Writes a @{tf.Event} binary proto.
When using create_summary_db_writer(), this can be used alongside
@{tf.TFRecordReader} to load event logs into the database. Please
note that this is lower level than the other summary functions and
will ignore any conditions set by m... | def import_event(tensor, name=None):
| """Writes a @{tf.Event} binary proto.
When using create_summary_db_writer(), this can be used alongside
@{tf.TFRecordReader} to load event logs into the database. Please
note that this is lower level than the other summary functions and
will ignore any conditions set by methods like
@{tf.contrib.summary.sh... | _tensor(_serialize_graph(param), dtypes.string)
else:
tensor = array_ops.identity(param)
return gen_summary_ops.write_graph_summary(
writer, _choose_step(step), tensor, name=name)
_graph = graph # for functions with a graph parameter
def import_event(tensor, name=None):
| 64 | 64 | 159 | 9 | 54 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | import_event | import_event | 498 | 516 | 498 | 498 | 0777f983e79d32bdfea48c518489f02557080cab | bigcode/the-stack | train |
0866478458c7c72976bb17b1 | train | function | def audio(name, tensor, sample_rate, max_outputs, family=None, step=None):
"""Writes an audio summary if possible."""
def function(tag, scope):
# Note the identity to move the tensor to the CPU.
return gen_summary_ops.write_audio_summary(
context.context().summary_writer_resource,
_choose_s... | def audio(name, tensor, sample_rate, max_outputs, family=None, step=None):
| """Writes an audio summary if possible."""
def function(tag, scope):
# Note the identity to move the tensor to the CPU.
return gen_summary_ops.write_audio_summary(
context.context().summary_writer_resource,
_choose_step(step),
tag,
array_ops.identity(tensor),
sample_... | _resource,
_choose_step(step),
tag,
array_ops.identity(tensor),
bad_color_,
max_images,
name=scope)
return summary_writer_function(name, tensor, function, family=family)
def audio(name, tensor, sample_rate, max_outputs, family=None, step=None):
| 64 | 64 | 113 | 18 | 46 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | audio | audio | 433 | 447 | 433 | 433 | 9f2d9dbb481e2509c821000eda4cc1713410de5e | bigcode/the-stack | train |
6ecf5f5efdfb5d3a3776ee35 | train | function | def generic(name, tensor, metadata=None, family=None, step=None):
"""Writes a tensor summary if possible."""
def function(tag, scope):
if metadata is None:
serialized_metadata = constant_op.constant("")
elif hasattr(metadata, "SerializeToString"):
serialized_metadata = constant_op.constant(meta... | def generic(name, tensor, metadata=None, family=None, step=None):
| """Writes a tensor summary if possible."""
def function(tag, scope):
if metadata is None:
serialized_metadata = constant_op.constant("")
elif hasattr(metadata, "SerializeToString"):
serialized_metadata = constant_op.constant(metadata.SerializeToString())
else:
serialized_metadata = me... | op = utils.smart_cond(
should_record_summaries(), record, _nothing, name="")
ops.add_to_collection(ops.GraphKeys._SUMMARY_COLLECTION, op) # pylint: disable=protected-access
return op
def generic(name, tensor, metadata=None, family=None, step=None):
| 64 | 64 | 145 | 15 | 48 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | generic | generic | 346 | 364 | 346 | 346 | e36c2741725d404c75b10fbae47298ce5830e743 | bigcode/the-stack | train |
1db0687453b671b0449495d1 | train | class | class SummaryWriter(object):
"""Encapsulates a stateful summary writer resource.
See also:
- @{tf.contrib.summary.create_summary_file_writer}
- @{tf.contrib.summary.create_summary_db_writer}
"""
def __init__(self, resource):
self._resource = resource
if context.in_eager_mode():
self._resour... | class SummaryWriter(object):
| """Encapsulates a stateful summary writer resource.
See also:
- @{tf.contrib.summary.create_summary_file_writer}
- @{tf.contrib.summary.create_summary_db_writer}
"""
def __init__(self, resource):
self._resource = resource
if context.in_eager_mode():
self._resource_deleter = resource_variabl... | old
@tf_contextlib.contextmanager
def never_record_summaries():
"""Sets the should_record_summaries Tensor to always false."""
collection_ref = ops.get_collection_ref(_SHOULD_RECORD_SUMMARIES_NAME)
old = collection_ref[:]
collection_ref[:] = [False]
yield
collection_ref[:] = old
class SummaryWriter(objec... | 78 | 78 | 261 | 5 | 72 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | SummaryWriter | SummaryWriter | 101 | 132 | 101 | 101 | 2db379195ca66c8b0b4dacea2906e24d180da1b5 | bigcode/the-stack | train |
69724cf3291f324c79e61979 | train | function | @tf_contextlib.contextmanager
def record_summaries_every_n_global_steps(n, global_step=None):
"""Sets the should_record_summaries Tensor to true if global_step % n == 0."""
if global_step is None:
global_step = training_util.get_global_step()
collection_ref = ops.get_collection_ref(_SHOULD_RECORD_SUMMARIES_NA... | @tf_contextlib.contextmanager
def record_summaries_every_n_global_steps(n, global_step=None):
| """Sets the should_record_summaries Tensor to true if global_step % n == 0."""
if global_step is None:
global_step = training_util.get_global_step()
collection_ref = ops.get_collection_ref(_SHOULD_RECORD_SUMMARIES_NAME)
old = collection_ref[:]
with ops.device("cpu:0"):
collection_ref[:] = [math_ops.eq... | tensor specified for whether summaries "
"should be recorded: %s" % should_record_collection)
return should_record_collection[0]
# TODO(apassos) consider how to handle local step here.
@tf_contextlib.contextmanager
def record_summaries_every_n_global_steps(n, global_step=None):
| 64 | 64 | 121 | 22 | 42 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | record_summaries_every_n_global_steps | record_summaries_every_n_global_steps | 68 | 78 | 68 | 69 | 98bad81f619b139dbeed696594a75177f716b325 | bigcode/the-stack | train |
c1466a7e414d626e88e6a350 | train | function | def histogram(name, tensor, family=None, step=None):
"""Writes a histogram summary if possible."""
def function(tag, scope):
# Note the identity to move the tensor to the CPU.
return gen_summary_ops.write_histogram_summary(
context.context().summary_writer_resource,
_choose_step(step),
... | def histogram(name, tensor, family=None, step=None):
| """Writes a histogram summary if possible."""
def function(tag, scope):
# Note the identity to move the tensor to the CPU.
return gen_summary_ops.write_histogram_summary(
context.context().summary_writer_resource,
_choose_step(step),
tag,
array_ops.identity(tensor),
... | return gen_summary_ops.write_scalar_summary(
context.context().summary_writer_resource,
_choose_step(step),
tag,
array_ops.identity(tensor),
name=scope)
return summary_writer_function(name, tensor, function, family=family)
def histogram(name, tensor, family=None, step=None):
| 64 | 64 | 95 | 12 | 52 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | histogram | histogram | 399 | 411 | 399 | 399 | 7e14b5537f9fada8daa4803dd438646e19e188e1 | bigcode/the-stack | train |
aea0cc368bc952cb2540e073 | train | function | def initialize(
graph=None, # pylint: disable=redefined-outer-name
session=None):
"""Initializes summary writing for graph execution mode.
This helper method provides a higher-level alternative to using
@{tf.contrib.summary.summary_writer_initializer_op} and
@{tf.contrib.summary.graph}.
Most users ... | def initialize(
graph=None, # pylint: disable=redefined-outer-name
session=None):
| """Initializes summary writing for graph execution mode.
This helper method provides a higher-level alternative to using
@{tf.contrib.summary.summary_writer_initializer_op} and
@{tf.contrib.summary.graph}.
Most users will also want to call @{tf.train.create_global_step}
which can happen before or after th... | .context().summary_writer_resource = self._resource
yield self
# Flushes the summary writer in eager mode or in graph functions, but not
# in legacy graph mode (you're on your own there).
with ops.device("cpu:0"):
gen_summary_ops.flush_summary_writer(self._resource)
context.context... | 97 | 97 | 325 | 22 | 74 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | initialize | initialize | 135 | 169 | 135 | 137 | ec22bc2c2eb212dfbb6513c585d54950ce75783a | bigcode/the-stack | train |
8ad1ddc4bd3f6273be466bc5 | train | function | def scalar(name, tensor, family=None, step=None):
"""Writes a scalar summary if possible.
Unlike @{tf.contrib.summary.generic} this op may change the dtype
depending on the writer, for both practical and efficiency concerns.
Args:
name: An arbitrary name for this summary.
tensor: A @{tf.Tensor} Must b... | def scalar(name, tensor, family=None, step=None):
| """Writes a scalar summary if possible.
Unlike @{tf.contrib.summary.generic} this op may change the dtype
depending on the writer, for both practical and efficiency concerns.
Args:
name: An arbitrary name for this summary.
tensor: A @{tf.Tensor} Must be one of the following types:
`float32`, `fl... | Note the identity to move the tensor to the CPU.
return gen_summary_ops.write_summary(
context.context().summary_writer_resource,
_choose_step(step),
array_ops.identity(tensor),
tag,
serialized_metadata,
name=scope)
return summary_writer_function(name, tensor, func... | 79 | 79 | 264 | 12 | 67 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | scalar | scalar | 367 | 396 | 367 | 367 | 15c98256435c9e667b79767d950e2697d4380ee4 | bigcode/the-stack | train |
ea92d35bd30b54075df71db2 | train | function | def should_record_summaries():
"""Returns boolean Tensor which is true if summaries should be recorded."""
should_record_collection = ops.get_collection(_SHOULD_RECORD_SUMMARIES_NAME)
if not should_record_collection:
return False
if len(should_record_collection) != 1:
raise ValueError(
"More tha... | def should_record_summaries():
| """Returns boolean Tensor which is true if summaries should be recorded."""
should_record_collection = ops.get_collection(_SHOULD_RECORD_SUMMARIES_NAME)
if not should_record_collection:
return False
if len(should_record_collection) != 1:
raise ValueError(
"More than one tensor specified for whet... | NS = re.compile(r"^[^\x00-\x1F<>]{0,512}$")
_USER_NAME_PATTERNS = re.compile(r"^[a-z]([-a-z0-9]{0,29}[a-z0-9])?$", re.I)
def should_record_summaries():
| 64 | 64 | 100 | 7 | 57 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | should_record_summaries | should_record_summaries | 55 | 64 | 55 | 55 | a2926c7289d12d5c39ead9c93cdff4f9450aab79 | bigcode/the-stack | train |
9d24eceeb824a4c7c3c4217f | train | function | @tf_contextlib.contextmanager
def always_record_summaries():
"""Sets the should_record_summaries Tensor to always true."""
collection_ref = ops.get_collection_ref(_SHOULD_RECORD_SUMMARIES_NAME)
old = collection_ref[:]
collection_ref[:] = [True]
yield
collection_ref[:] = old
| @tf_contextlib.contextmanager
def always_record_summaries():
| """Sets the should_record_summaries Tensor to always true."""
collection_ref = ops.get_collection_ref(_SHOULD_RECORD_SUMMARIES_NAME)
old = collection_ref[:]
collection_ref[:] = [True]
yield
collection_ref[:] = old
| ULD_RECORD_SUMMARIES_NAME)
old = collection_ref[:]
with ops.device("cpu:0"):
collection_ref[:] = [math_ops.equal(global_step % n, 0)]
yield
collection_ref[:] = old
@tf_contextlib.contextmanager
def always_record_summaries():
| 64 | 64 | 71 | 14 | 49 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | always_record_summaries | always_record_summaries | 81 | 88 | 81 | 82 | cb39788df1ddd5bec4442c0138a6b8dcdb51ccba | bigcode/the-stack | train |
c2fb76d892a6b3a5dffc0860 | train | function | def _cleanse_string(name, pattern, value):
if isinstance(value, six.string_types) and pattern.search(value) is None:
raise ValueError("%s (%s) must match %s" % (name, value, pattern.pattern))
return ops.convert_to_tensor(value, dtypes.string)
| def _cleanse_string(name, pattern, value):
| if isinstance(value, six.string_types) and pattern.search(value) is None:
raise ValueError("%s (%s) must match %s" % (name, value, pattern.pattern))
return ops.convert_to_tensor(value, dtypes.string)
| factory(resource, **kwargs)
# if not context.in_eager_mode():
# ops.get_default_session().run(node)
ops.add_to_collection(_SUMMARY_WRITER_INIT_COLLECTION_NAME,
factory(resource, **kwargs))
return SummaryWriter(resource)
def _cleanse_string(name, pattern, value):
| 64 | 64 | 63 | 11 | 53 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | _cleanse_string | _cleanse_string | 275 | 278 | 275 | 275 | 6baa5c6cfd146bb2824ffa47b01a9f31ec9c4b71 | bigcode/the-stack | train |
d3c3c6c69c9de8ba6c59b6f5 | train | function | def eval_dir(model_dir, name=None):
"""Construct a logdir for an eval summary writer."""
return os.path.join(model_dir, "eval" if not name else "eval_" + name)
| def eval_dir(model_dir, name=None):
| """Construct a logdir for an eval summary writer."""
return os.path.join(model_dir, "eval" if not name else "eval_" + name)
| Returns:
The created @{tf.Operation}.
"""
if writer is None:
writer = context.context().summary_writer_resource
if writer is None:
return control_flow_ops.no_op()
return gen_summary_ops.flush_summary_writer(writer, name=name)
def eval_dir(model_dir, name=None):
| 64 | 64 | 42 | 9 | 55 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | eval_dir | eval_dir | 540 | 542 | 540 | 540 | 967b3f813884b09d16113aab2ce614dad384dfc6 | bigcode/the-stack | train |
e9fb5a3bb0d4a0dc74ba2442 | train | function | @tf_contextlib.contextmanager
def never_record_summaries():
"""Sets the should_record_summaries Tensor to always false."""
collection_ref = ops.get_collection_ref(_SHOULD_RECORD_SUMMARIES_NAME)
old = collection_ref[:]
collection_ref[:] = [False]
yield
collection_ref[:] = old
| @tf_contextlib.contextmanager
def never_record_summaries():
| """Sets the should_record_summaries Tensor to always false."""
collection_ref = ops.get_collection_ref(_SHOULD_RECORD_SUMMARIES_NAME)
old = collection_ref[:]
collection_ref[:] = [False]
yield
collection_ref[:] = old
| ummaries Tensor to always true."""
collection_ref = ops.get_collection_ref(_SHOULD_RECORD_SUMMARIES_NAME)
old = collection_ref[:]
collection_ref[:] = [True]
yield
collection_ref[:] = old
@tf_contextlib.contextmanager
def never_record_summaries():
| 64 | 64 | 71 | 14 | 49 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | never_record_summaries | never_record_summaries | 91 | 98 | 91 | 92 | 583cfbc8bf41f55e8bb354f1bdaa352ce788b26b | bigcode/the-stack | train |
316bb27b7eea8816120fc902 | train | function | def all_summary_ops():
"""Graph-mode only. Returns all summary ops.
Please note this excludes @{tf.contrib.summary.graph} ops.
Returns:
The summary ops.
Raises:
RuntimeError: If in Eager mode.
"""
if context.in_eager_mode():
raise RuntimeError(
"tf.contrib.summary.all_summary_ops is o... | def all_summary_ops():
| """Graph-mode only. Returns all summary ops.
Please note this excludes @{tf.contrib.summary.graph} ops.
Returns:
The summary ops.
Raises:
RuntimeError: If in Eager mode.
"""
if context.in_eager_mode():
raise RuntimeError(
"tf.contrib.summary.all_summary_ops is only supported in graph ... | raise ValueError("%s (%s) must match %s" % (name, value, pattern.pattern))
return ops.convert_to_tensor(value, dtypes.string)
def _nothing():
"""Convenient else branch for when summaries do not record."""
return constant_op.constant(False)
def all_summary_ops():
| 64 | 64 | 102 | 5 | 59 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | all_summary_ops | all_summary_ops | 286 | 300 | 286 | 286 | 8fd312593661015afb86a7515069d772f90219ae | bigcode/the-stack | train |
43a18325a94a41532a2cd777 | train | function | def _make_summary_writer(name, factory, **kwargs):
resource = gen_summary_ops.summary_writer(shared_name=name)
# TODO(apassos): Consider doing this instead.
# node = factory(resource, **kwargs)
# if not context.in_eager_mode():
# ops.get_default_session().run(node)
ops.add_to_collection(_SUMMARY_WRITER_IN... | def _make_summary_writer(name, factory, **kwargs):
| resource = gen_summary_ops.summary_writer(shared_name=name)
# TODO(apassos): Consider doing this instead.
# node = factory(resource, **kwargs)
# if not context.in_eager_mode():
# ops.get_default_session().run(node)
ops.add_to_collection(_SUMMARY_WRITER_INIT_COLLECTION_NAME,
factory... | _PATTERNS, user_name)
return _make_summary_writer(
name,
gen_summary_ops.create_summary_db_writer,
db_uri=db_uri,
experiment_name=experiment_name,
run_name=run_name,
user_name=user_name)
def _make_summary_writer(name, factory, **kwargs):
| 64 | 64 | 93 | 12 | 52 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | _make_summary_writer | _make_summary_writer | 264 | 272 | 264 | 264 | 21dbf3bcd0dccedb1552c790b9cf037b094994e7 | bigcode/the-stack | train |
ff678d81789a3cce83032dde | train | function | def graph(param, step=None, name=None):
"""Writes a TensorFlow graph to the summary interface.
The graph summary is, strictly speaking, not a summary. Conditions
like @{tf.contrib.summary.never_record_summaries} do not apply. Only
a single graph can be associated with a particular run. If multiple
graphs are... | def graph(param, step=None, name=None):
| """Writes a TensorFlow graph to the summary interface.
The graph summary is, strictly speaking, not a summary. Conditions
like @{tf.contrib.summary.never_record_summaries} do not apply. Only
a single graph can be associated with a particular run. If multiple
graphs are written, then only the last one will be... | (name, tensor, function, family=family)
def audio(name, tensor, sample_rate, max_outputs, family=None, step=None):
"""Writes an audio summary if possible."""
def function(tag, scope):
# Note the identity to move the tensor to the CPU.
return gen_summary_ops.write_audio_summary(
context.context().... | 133 | 133 | 445 | 10 | 123 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | graph | graph | 450 | 492 | 450 | 450 | a53646794432a4621d02e2a3533b03b4583ff226 | bigcode/the-stack | train |
05f7848328279a70aac79759 | train | function | def summary_writer_initializer_op():
"""Graph-mode only. Returns the list of ops to create all summary writers.
Returns:
The initializer ops.
Raises:
RuntimeError: If in Eager mode.
"""
if context.in_eager_mode():
raise RuntimeError(
"tf.contrib.summary.summary_writer_initializer_op is o... | def summary_writer_initializer_op():
| """Graph-mode only. Returns the list of ops to create all summary writers.
Returns:
The initializer ops.
Raises:
RuntimeError: If in Eager mode.
"""
if context.in_eager_mode():
raise RuntimeError(
"tf.contrib.summary.summary_writer_initializer_op is only "
"supported in graph mod... | If in Eager mode.
"""
if context.in_eager_mode():
raise RuntimeError(
"tf.contrib.summary.all_summary_ops is only supported in graph mode.")
return ops.get_collection(ops.GraphKeys._SUMMARY_COLLECTION) # pylint: disable=protected-access
def summary_writer_initializer_op():
| 64 | 64 | 91 | 6 | 57 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | summary_writer_initializer_op | summary_writer_initializer_op | 303 | 316 | 303 | 303 | 95f83c805a2b754ad6dd9d69dd42574c40e8277c | bigcode/the-stack | train |
8d53261c4f51d631381410b4 | train | function | def _serialize_graph(arbitrary_graph):
if isinstance(arbitrary_graph, ops.Graph):
return arbitrary_graph.as_graph_def(add_shapes=True).SerializeToString()
else:
return arbitrary_graph.SerializeToString()
| def _serialize_graph(arbitrary_graph):
| if isinstance(arbitrary_graph, ops.Graph):
return arbitrary_graph.as_graph_def(add_shapes=True).SerializeToString()
else:
return arbitrary_graph.SerializeToString()
| ()
return gen_summary_ops.flush_summary_writer(writer, name=name)
def eval_dir(model_dir, name=None):
"""Construct a logdir for an eval summary writer."""
return os.path.join(model_dir, "eval" if not name else "eval_" + name)
def _serialize_graph(arbitrary_graph):
| 64 | 64 | 44 | 8 | 56 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | _serialize_graph | _serialize_graph | 545 | 549 | 545 | 545 | 509efa47897c0e2b223c12afdac01c88735284a5 | bigcode/the-stack | train |
b6d5578f32c90e2a9c7c28a4 | train | function | def flush(writer=None, name=None):
"""Forces summary writer to send any buffered data to storage.
This operation blocks until that finishes.
Args:
writer: The @{tf.contrib.summary.SummaryWriter} resource to flush.
The thread default will be used if this parameter is None.
Otherwise a @{tf.no_op}... | def flush(writer=None, name=None):
| """Forces summary writer to send any buffered data to storage.
This operation blocks until that finishes.
Args:
writer: The @{tf.contrib.summary.SummaryWriter} resource to flush.
The thread default will be used if this parameter is None.
Otherwise a @{tf.no_op} is returned.
name: A name for ... | ` containing a serialized
@{tf.Event} proto.
name: A name for the operation (optional).
Returns:
The created @{tf.Operation}.
"""
return gen_summary_ops.import_event(
context.context().summary_writer_resource, tensor, name=name)
def flush(writer=None, name=None):
| 64 | 64 | 139 | 8 | 56 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | flush | flush | 519 | 537 | 519 | 519 | 166e78789b311c702db0ffcc5aa1c5d17a7e0cbc | bigcode/the-stack | train |
ca6b57517b5fed06858fe1bb | train | function | def _nothing():
"""Convenient else branch for when summaries do not record."""
return constant_op.constant(False)
| def _nothing():
| """Convenient else branch for when summaries do not record."""
return constant_op.constant(False)
| se_string(name, pattern, value):
if isinstance(value, six.string_types) and pattern.search(value) is None:
raise ValueError("%s (%s) must match %s" % (name, value, pattern.pattern))
return ops.convert_to_tensor(value, dtypes.string)
def _nothing():
| 64 | 64 | 24 | 4 | 60 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | _nothing | _nothing | 281 | 283 | 281 | 281 | 5da6f424cf6b7b5494fb08007fbb85e56fdddc63 | bigcode/the-stack | train |
8604d2df5b486d7f8dc2c1f7 | train | function | def summary_writer_function(name, tensor, function, family=None):
"""Helper function to write summaries.
Args:
name: name of the summary
tensor: main tensor to form the summary
function: function taking a tag and a scope which writes the summary
family: optional, the summary's family
Returns:
... | def summary_writer_function(name, tensor, function, family=None):
| """Helper function to write summaries.
Args:
name: name of the summary
tensor: main tensor to form the summary
function: function taking a tag and a scope which writes the summary
family: optional, the summary's family
Returns:
The result of writing the summary.
"""
def record():
wit... | Eager mode.
"""
if context.in_eager_mode():
raise RuntimeError(
"tf.contrib.summary.summary_writer_initializer_op is only "
"supported in graph mode.")
return ops.get_collection(_SUMMARY_WRITER_INIT_COLLECTION_NAME)
def summary_writer_function(name, tensor, function, family=None):
| 64 | 64 | 203 | 13 | 51 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | summary_writer_function | summary_writer_function | 319 | 343 | 319 | 319 | b316bec34427998084cde3e0fa1a77a5e2cb40d0 | bigcode/the-stack | train |
5fd575ea4020817f478d0fe9 | train | function | def image(name, tensor, bad_color=None, max_images=3, family=None, step=None):
"""Writes an image summary if possible."""
def function(tag, scope):
bad_color_ = (constant_op.constant([255, 0, 0, 255], dtype=dtypes.uint8)
if bad_color is None else bad_color)
# Note the identity to move the... | def image(name, tensor, bad_color=None, max_images=3, family=None, step=None):
| """Writes an image summary if possible."""
def function(tag, scope):
bad_color_ = (constant_op.constant([255, 0, 0, 255], dtype=dtypes.uint8)
if bad_color is None else bad_color)
# Note the identity to move the tensor to the CPU.
return gen_summary_ops.write_image_summary(
con... | context.context().summary_writer_resource,
_choose_step(step),
tag,
array_ops.identity(tensor),
name=scope)
return summary_writer_function(name, tensor, function, family=family)
def image(name, tensor, bad_color=None, max_images=3, family=None, step=None):
| 64 | 64 | 148 | 21 | 43 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | image | image | 414 | 430 | 414 | 414 | 5bdcb86fdd0d2bafe5b9003d75b6f79a409bb675 | bigcode/the-stack | train |
332657133e37551a26f5b692 | train | function | def create_summary_file_writer(logdir,
max_queue=None,
flush_millis=None,
filename_suffix=None,
name=None):
"""Creates a summary file writer in the current context.
Args:
logdir: a string... | def create_summary_file_writer(logdir,
max_queue=None,
flush_millis=None,
filename_suffix=None,
name=None):
| """Creates a summary file writer in the current context.
Args:
logdir: a string, or None. If a string, creates a summary file writer
which writes to the directory named by the string. If None, returns
a mock object which acts like a summary writer but does nothing,
useful to use as a context man... | is None:
raise ValueError("session must be passed if no default session exists")
session.run(summary_writer_initializer_op())
if graph is not None:
data = _serialize_graph(graph)
x = array_ops.placeholder(dtypes.string)
session.run(_graph(x, 0), feed_dict={x: data})
def create_summary_file_writer... | 96 | 96 | 323 | 28 | 68 | JanX2/tensorflow | tensorflow/contrib/summary/summary_ops.py | Python | create_summary_file_writer | create_summary_file_writer | 172 | 210 | 172 | 176 | 0fa8f3d7d99da972394977adc80465cfb30b23df | bigcode/the-stack | train |
10843d0ad6364d9da49b2018 | train | class | class LineBreak(IntFlag):
NonBreak = 0
BreakBefore = 1 # B
BreakAfter = 2 # A
BreakAny = 3 # B/A
| class LineBreak(IntFlag):
| NonBreak = 0
BreakBefore = 1 # B
BreakAfter = 2 # A
BreakAny = 3 # B/A
| odedata
from enum import IntFlag
from FileGenerator import Regenerate
from GenerateCharacterCategory import CharacterClass, CategoryClassifyMap
from MultiStageTable import *
from UnicodeData import *
# Unicode Line Breaking Algorithm
# https://www.unicode.org/reports/tr14/
class LineBreak(IntFlag):
| 64 | 64 | 44 | 6 | 58 | Novodes/notepad2 | scintilla/scripts/GenerateLineBreak.py | Python | LineBreak | LineBreak | 16 | 20 | 16 | 16 | 696045a143d9971f86e04d6b4ab3b8b91cd3ade1 | bigcode/the-stack | train |
fd8388e569b3bb7786320fde | train | function | def updateUnicodeLineBreak(filename):
lineBreakTable = ['XX'] * UnicodeCharacterCount # @missing
# https://www.unicode.org/Public/UCD/latest/ucd/LineBreak.txt
version, propertyList = readUnicodePropertyFile('LineBreak.txt')
flattenUnicodePropertyTable(lineBreakTable, propertyList)
lineBreakTable[ord('<')] = 'OP' ... | def updateUnicodeLineBreak(filename):
| lineBreakTable = ['XX'] * UnicodeCharacterCount # @missing
# https://www.unicode.org/Public/UCD/latest/ucd/LineBreak.txt
version, propertyList = readUnicodePropertyFile('LineBreak.txt')
flattenUnicodePropertyTable(lineBreakTable, propertyList)
lineBreakTable[ord('<')] = 'OP' # open punctuation
lineBreakTable[ord... | XB)
'PO', # Postfix Numeric (XB)
],
LineBreak.BreakAny: [
'AI', # Ambiguous (Alphabetic or Ideograph)
'CB', # Contingent Break Opportunity (B/A)
'CJ', # Conditional Japanese Starter, treat as ID: CSS normal breaking
'H2', # Hangul LV Syllable (B/A)
'H3', # Hangul LVT Syllable (B/A)
'JT', # Hangul T Jamo... | 195 | 195 | 652 | 7 | 187 | Novodes/notepad2 | scintilla/scripts/GenerateLineBreak.py | Python | updateUnicodeLineBreak | updateUnicodeLineBreak | 84 | 153 | 84 | 84 | 19cfe11d5a25954dc48a1c359a907c86a97dda39 | bigcode/the-stack | train |
1a8a5d0ccba6540a4f553455 | train | class | class P2PConnection(asyncio.Protocol):
"""A low-level connection object to a node's P2P interface.
This class is responsible for:
- opening and closing the TCP connection to the node
- reading bytes from and writing bytes to the socket
- deserializing and serializing the P2P message header
- l... | class P2PConnection(asyncio.Protocol):
| """A low-level connection object to a node's P2P interface.
This class is responsible for:
- opening and closing the TCP connection to the node
- reading bytes from and writing bytes to the socket
- deserializing and serializing the P2P message header
- logging messages as they are sent and re... | b"feefilter": msg_feefilter,
b"getaddr": msg_getaddr,
b"getblocks": msg_getblocks,
b"getblocktxn": msg_getblocktxn,
b"getdata": msg_getdata,
b"getheaders": msg_getheaders,
b"headers": msg_headers,
b"inv": msg_inv,
b"mempool": msg_mempool,
b"notfound": msg_notfound,
b"ping": msg_... | 256 | 256 | 1,467 | 9 | 247 | lurchinms/Auroracoin | test/functional/test_framework/mininode.py | Python | P2PConnection | P2PConnection | 92 | 251 | 92 | 92 | 665c7b135cbae7d3d2fcbf90c35511e9c7937d9c | bigcode/the-stack | train |
5148680fb4e8debfb8667353 | train | class | class P2PDataStore(P2PInterface):
"""A P2P data store class.
Keeps a block and transaction store and responds correctly to getdata and getheaders requests."""
def __init__(self):
super().__init__()
# store of blocks. key is block hash, value is a CBlock object
self.block_store = {}... | class P2PDataStore(P2PInterface):
| """A P2P data store class.
Keeps a block and transaction store and responds correctly to getdata and getheaders requests."""
def __init__(self):
super().__init__()
# store of blocks. key is block hash, value is a CBlock object
self.block_store = {}
self.last_block_hash = ''... | izing all data access between the network event loop (see
# NetworkThread below) and the thread running the test logic. For simplicity,
# P2PConnection acquires this lock whenever delivering a message to a P2PInterface.
# This lock should be acquired in the thread running the test logic to synchronize
# access to any ... | 256 | 256 | 1,208 | 11 | 245 | lurchinms/Auroracoin | test/functional/test_framework/mininode.py | Python | P2PDataStore | P2PDataStore | 462 | 588 | 462 | 462 | 8cdeaf79c85cc8650b1a4a6b39f4678fafb0d12d | bigcode/the-stack | train |
6b2a4616d19983467cb1feeb | train | class | class NetworkThread(threading.Thread):
network_event_loop = None
def __init__(self):
super().__init__(name="NetworkThread")
# There is only one event loop and no more than one thread must be created
assert not self.network_event_loop
NetworkThread.network_event_loop = asyncio.n... | class NetworkThread(threading.Thread):
| network_event_loop = None
def __init__(self):
super().__init__(name="NetworkThread")
# There is only one event loop and no more than one thread must be created
assert not self.network_event_loop
NetworkThread.network_event_loop = asyncio.new_event_loop()
def run(self):
... | acquires this lock whenever delivering a message to a P2PInterface.
# This lock should be acquired in the thread running the test logic to synchronize
# access to any data shared with the P2PInterface or P2PConnection.
mininode_lock = threading.RLock()
class NetworkThread(threading.Thread):
| 64 | 64 | 154 | 7 | 57 | lurchinms/Auroracoin | test/functional/test_framework/mininode.py | Python | NetworkThread | NetworkThread | 440 | 459 | 440 | 440 | 78689bc96d239f4791dfa263c791fd4457ef3fe6 | bigcode/the-stack | train |
c0f7b018b36a8a17d6977b00 | train | class | class P2PInterface(P2PConnection):
"""A high-level P2P interface class for communicating with a DigiByte node.
This class provides high-level callbacks for processing P2P message
payloads, as well as convenience methods for interacting with the
node over P2P.
Individual testcases should subclass t... | class P2PInterface(P2PConnection):
| """A high-level P2P interface class for communicating with a DigiByte node.
This class provides high-level callbacks for processing P2P message
payloads, as well as convenience methods for interacting with the
node over P2P.
Individual testcases should subclass this and override the on_* methods
... | return
self._transport.write(tmsg)
NetworkThread.network_event_loop.call_soon_threadsafe(maybe_write)
# Class utility methods
def build_message(self, message):
"""Build a serialized P2P message"""
command = message.command
data = message.serialize()
... | 256 | 256 | 1,584 | 10 | 246 | lurchinms/Auroracoin | test/functional/test_framework/mininode.py | Python | P2PInterface | P2PInterface | 254 | 429 | 254 | 254 | e7a7d14fed8a26f8220dcf138a2a7504b8f3f2d2 | bigcode/the-stack | train |
d04824556a32aae7c5a7d467 | train | class | class GetIncidentInput(komand.Input):
schema = json.loads("""
{
"type": "object",
"title": "Variables",
"properties": {
"incident_id": {
"type": "integer",
"title": "Incident ID",
"description": "Incident ID",
"order": 1
}
},
"required": [
"incident_id"
]
}
"""... | class GetIncidentInput(komand.Input):
| schema = json.loads("""
{
"type": "object",
"title": "Variables",
"properties": {
"incident_id": {
"type": "integer",
"title": "Incident ID",
"description": "Incident ID",
"order": 1
}
},
"required": [
"incident_id"
]
}
""")
def __init__(self):
sup... | # GENERATED BY KOMAND SDK - DO NOT EDIT
import komand
import json
class Input:
INCIDENT_ID = "incident_id"
class Output:
INCIDENT = "incident"
class GetIncidentInput(komand.Input):
| 47 | 64 | 112 | 9 | 38 | xhennessy-r7/insightconnect-plugins | samanage/komand_samanage/actions/get_incident/schema.py | Python | GetIncidentInput | GetIncidentInput | 14 | 34 | 14 | 14 | aeeb77ea9f464a82267fadb7decd9d7c86d3a450 | bigcode/the-stack | train |
02abc66226754bd1f63555fd | train | class | class GetIncidentOutput(komand.Output):
schema = json.loads("""
{
"type": "object",
"title": "Variables",
"properties": {
"incident": {
"$ref": "#/definitions/incident",
"title": "Incident",
"description": "Details of an incident with the given ID",
"order": 1
}
},
"requ... | class GetIncidentOutput(komand.Output):
| schema = json.loads("""
{
"type": "object",
"title": "Variables",
"properties": {
"incident": {
"$ref": "#/definitions/incident",
"title": "Incident",
"description": "Details of an incident with the given ID",
"order": 1
}
},
"required": [
"incident"
],
"definiti... | # GENERATED BY KOMAND SDK - DO NOT EDIT
import komand
import json
class Input:
INCIDENT_ID = "incident_id"
class Output:
INCIDENT = "incident"
class GetIncidentInput(komand.Input):
schema = json.loads("""
{
"type": "object",
"title": "Variables",
"properties": {
"incident_id": {
... | 160 | 256 | 2,354 | 9 | 151 | xhennessy-r7/insightconnect-plugins | samanage/komand_samanage/actions/get_incident/schema.py | Python | GetIncidentOutput | GetIncidentOutput | 37 | 433 | 37 | 37 | 3683d11002d311d3476c046248895f55f5d1661b | bigcode/the-stack | train |
43f03a977ac5f914df91fbe8 | train | class | class Input:
INCIDENT_ID = "incident_id"
| class Input:
| INCIDENT_ID = "incident_id"
| # GENERATED BY KOMAND SDK - DO NOT EDIT
import komand
import json
class Input:
| 20 | 64 | 11 | 3 | 16 | xhennessy-r7/insightconnect-plugins | samanage/komand_samanage/actions/get_incident/schema.py | Python | Input | Input | 6 | 7 | 6 | 6 | d02202131fa949e3d47864c17350bcbe589a4769 | bigcode/the-stack | train |
b4b3c15ba3bf81bca950f625 | train | class | class Output:
INCIDENT = "incident"
| class Output:
| INCIDENT = "incident"
| # GENERATED BY KOMAND SDK - DO NOT EDIT
import komand
import json
class Input:
INCIDENT_ID = "incident_id"
class Output:
| 31 | 64 | 9 | 3 | 28 | xhennessy-r7/insightconnect-plugins | samanage/komand_samanage/actions/get_incident/schema.py | Python | Output | Output | 10 | 11 | 10 | 10 | f7ed5e8a6bc05e51a161eb4fc5d64ee914aa267d | bigcode/the-stack | train |
e90f2a98a8a6a0361a503cef | train | class | class Configuration(dict):
def __init__(self, doc=None,):
dict.__init__(
self,
doc if doc != None else {}
)
def load_yaml(self, f):
return self.load(yaml.load(f))
def load_json(self, f):
if hasattr(f, "read"):
return self.load(json.load(f))
elif hasattr(f, "__len__"):
return self.load(js... | class Configuration(dict):
| def __init__(self, doc=None,):
dict.__init__(
self,
doc if doc != None else {}
)
def load_yaml(self, f):
return self.load(yaml.load(f))
def load_json(self, f):
if hasattr(f, "read"):
return self.load(json.load(f))
elif hasattr(f, "__len__"):
return self.load(json.loads(f))
def load(sel... | import yaml, json
class Configuration(dict):
| 10 | 64 | 109 | 5 | 4 | halfak/snuggle | snuggle/configuration.py | Python | Configuration | Configuration | 3 | 21 | 3 | 4 | 10fed02f4252587622fdeb2d6766d75b343a3bc8 | bigcode/the-stack | train |
90dcdd9317b18eb59763b09a | train | function | @periodic_task(run_every=crontab(hour=0, minute=5))
def expire_account():
logger.info('Started')
buyers_with_plans = Buyer.objects.select_related('buyerplan')
for buyer in buyers_with_plans.filter(
buyerplan__active=True,
buyerplan__expire__lt=datetime.date.today()
).exclude(
b... | @periodic_task(run_every=crontab(hour=0, minute=5))
def expire_account():
| logger.info('Started')
buyers_with_plans = Buyer.objects.select_related('buyerplan')
for buyer in buyers_with_plans.filter(
buyerplan__active=True,
buyerplan__expire__lt=datetime.date.today()
).exclude(
buyerplan__expire=None
):
buyer.buyerplan.expire_account()
... |
import logging
from celery.schedules import crontab
from celery.task.base import periodic_task
from django.conf import settings
from plans.models import Buyer
logger = logging.getLogger('plans.tasks')
@periodic_task(run_every=crontab(hour=0, minute=5))
def expire_account():
| 64 | 64 | 178 | 22 | 42 | Nuurek/django-plans | plans/tasks.py | Python | expire_account | expire_account | 12 | 34 | 12 | 14 | a8941bbb99a422f445e7e4eac12f049b3197ddcd | bigcode/the-stack | train |
fd1138a27cd6742c9f9e4e7c | train | class | class BaseMeasureTestCase(TestCase):
def setUp(self):
self.measure = Measure('myclient', ('localhost', 1984))
| class BaseMeasureTestCase(TestCase):
| def setUp(self):
self.measure = Measure('myclient', ('localhost', 1984))
| localhost', 1984)])
self.assertEqual(
measure.socket.getsockopt(socket.SOL_SOCKET, socket.SO_TYPE),
socket.SOCK_DGRAM)
# socket is non-blocking
self.assertEqual(measure.socket.gettimeout(), 0.0)
class BaseMeasureTestCase(TestCase):
| 64 | 64 | 30 | 8 | 56 | EwertonBello/measures | tests/unit/test_measure.py | Python | BaseMeasureTestCase | BaseMeasureTestCase | 24 | 27 | 24 | 25 | 55805d0df7c2c1af4e8babec534484ccd23be480 | bigcode/the-stack | train |
de9baa8af95fdbc22db97c2d | train | class | class MeasureTestCase(TestCase):
def test_must_create_a_measure_object_with_correct_attributes(self):
measure = Measure('myclient', ('localhost', 1984))
self.assertEqual(measure.client, 'myclient')
self.assertEqual(measure.addresses, [('localhost', 1984)])
self.assertEqual(
... | class MeasureTestCase(TestCase):
| def test_must_create_a_measure_object_with_correct_attributes(self):
measure = Measure('myclient', ('localhost', 1984))
self.assertEqual(measure.client, 'myclient')
self.assertEqual(measure.addresses, [('localhost', 1984)])
self.assertEqual(
measure.socket.getsockopt(sock... | # -*- coding: utf-8 -*-
from unittest import TestCase
from measures import Measure
from mock import patch
import json
import socket
from nose_focus import focus
class MeasureTestCase(TestCase):
| 43 | 64 | 114 | 7 | 35 | EwertonBello/measures | tests/unit/test_measure.py | Python | MeasureTestCase | MeasureTestCase | 11 | 21 | 11 | 12 | 737368cfeed19756608106ec1421caf7094c094c | bigcode/the-stack | train |
5917ba627f478c56afbcb2d5 | train | class | class MeasureSendTestCase(BaseMeasureTestCase):
@patch('socket.socket.sendto')
def test_must_send_a_packet_to_correct_address(self, mock_sendto):
self.measure.send('mymetric', None)
self.assertEqual(mock_sendto.call_count, 1)
self.assertEqual(mock_sendto.call_args[0][1], ('localhost', ... | class MeasureSendTestCase(BaseMeasureTestCase):
@patch('socket.socket.sendto')
| def test_must_send_a_packet_to_correct_address(self, mock_sendto):
self.measure.send('mymetric', None)
self.assertEqual(mock_sendto.call_count, 1)
self.assertEqual(mock_sendto.call_args[0][1], ('localhost', 1984))
@patch('socket.socket.sendto')
def test_must_send_packet_with_dimens... | .assertEqual(message['error_type'], str(ValueError))
self.assertIn('error_value', message)
self.assertEqual(message['error_value'], 'foo')
@patch('socket.socket.sendto')
def test_must_send_packet_with_dimensions_on_error(self, mock_sendto):
with self.assertRaises(ValueError):
... | 169 | 169 | 566 | 19 | 150 | EwertonBello/measures | tests/unit/test_measure.py | Python | MeasureSendTestCase | MeasureSendTestCase | 236 | 295 | 236 | 238 | 97b89093f399b6ca78e5456768f0078243d296e5 | bigcode/the-stack | train |
5943107582041e4b6018be98 | train | class | class MeasureTimeTestCase(BaseMeasureTestCase):
@patch('socket.socket.sendto')
def test_must_send_a_packet_to_correct_address(self, mock_sendto):
with self.measure.time('mymetric'):
pass
self.assertEqual(mock_sendto.call_count, 1)
self.assertEqual(mock_sendto.call_args[0][1... | class MeasureTimeTestCase(BaseMeasureTestCase):
@patch('socket.socket.sendto')
| def test_must_send_a_packet_to_correct_address(self, mock_sendto):
with self.measure.time('mymetric'):
pass
self.assertEqual(mock_sendto.call_count, 1)
self.assertEqual(mock_sendto.call_args[0][1], ('localhost', 1984))
@patch('socket.socket.sendto')
def test_must_send_p... | client': 'myclient',
'metric': 'mymetric',
'count': 1,
}
message = json.loads(mock_sendto.call_args[0][0].decode('utf-8'))
self.assertDictEqual(message, expected_message)
@patch('socket.socket.sendto')
def test_must_not_change_dimensions_dict(self, mock_sendto):
... | 255 | 256 | 1,276 | 19 | 237 | EwertonBello/measures | tests/unit/test_measure.py | Python | MeasureTimeTestCase | MeasureTimeTestCase | 105 | 233 | 105 | 107 | aed75256e26426e135ac765276b6f6aa5fa7a69b | bigcode/the-stack | train |
55f28390a81ecb80b06b03c0 | train | class | class MeasureCountTestCase(BaseMeasureTestCase):
@patch('socket.socket.sendto')
def test_must_send_a_packet_to_correct_address(self, mock_sendto):
self.measure.count('mymetric')
self.assertEqual(mock_sendto.call_count, 1)
self.assertEqual(mock_sendto.call_args[0][1], ('localhost', 1984)... | class MeasureCountTestCase(BaseMeasureTestCase):
@patch('socket.socket.sendto')
| def test_must_send_a_packet_to_correct_address(self, mock_sendto):
self.measure.count('mymetric')
self.assertEqual(mock_sendto.call_count, 1)
self.assertEqual(mock_sendto.call_args[0][1], ('localhost', 1984))
@patch('socket.socket.sendto')
def test_must_send_a_packet_with_counter_of... | # -*- coding: utf-8 -*-
from unittest import TestCase
from measures import Measure
from mock import patch
import json
import socket
from nose_focus import focus
class MeasureTestCase(TestCase):
def test_must_create_a_measure_object_with_correct_attributes(self):
measure = Measure('myclient', ('localhost... | 199 | 218 | 728 | 19 | 180 | EwertonBello/measures | tests/unit/test_measure.py | Python | MeasureCountTestCase | MeasureCountTestCase | 30 | 102 | 30 | 32 | 54dcc2f78e66959b9d312d1c75648513caba1e3a | bigcode/the-stack | train |
18dd2adc3db1d6216d8544dc | train | function | def _child_matches(tag, selector):
# The tag cannot match as a child if it does not have a parent.
if not hasattr(tag, 'parent') or tag.parent is None:
return False
primary_match = _selector_matches(tag, selector.subselector)
if not primary_match:
return False
return _selector_matche... | def _child_matches(tag, selector):
# The tag cannot match as a child if it does not have a parent.
| if not hasattr(tag, 'parent') or tag.parent is None:
return False
primary_match = _selector_matches(tag, selector.subselector)
if not primary_match:
return False
return _selector_matches(tag.parent, selector.selector)
| selector.subselector)
if not primary_match:
return False
# Need to walk back up the tree checking the selector
return _any_ancestor_matches(tag, selector.selector)
def _child_matches(tag, selector):
# The tag cannot match as a child if it does not have a parent.
| 64 | 64 | 78 | 25 | 39 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _child_matches | _child_matches | 78 | 85 | 78 | 79 | 5b14b4cb00af69e5ed960bd0aa1e540a6a5a738c | bigcode/the-stack | train |
135ca361bd43fdafaa1582e9 | train | function | def _general_sibling_matches(tag, selector):
# The tag must match the subselector, while some sibling before this tag in
# the parent must match the selector.
if not hasattr(tag, 'parent') or tag.parent is None:
return False
primary_match = _selector_matches(tag, selector.subselector)
if no... | def _general_sibling_matches(tag, selector):
# The tag must match the subselector, while some sibling before this tag in
# the parent must match the selector.
| if not hasattr(tag, 'parent') or tag.parent is None:
return False
primary_match = _selector_matches(tag, selector.subselector)
if not primary_match:
return False
for sibling in tag.parent.tag_children():
if sibling is tag:
return False
if _selector_matches(s... | (tag, selector.subselector)
if not primary_match:
return False
return _selector_matches(tag.parent, selector.selector)
def _general_sibling_matches(tag, selector):
# The tag must match the subselector, while some sibling before this tag in
# the parent must match the selector.
| 64 | 64 | 117 | 37 | 27 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _general_sibling_matches | _general_sibling_matches | 88 | 103 | 88 | 90 | 112531dee8844957b651a65c69f527fea01aa4a6 | bigcode/the-stack | train |
52ec61d37d86abe05fb449c3 | train | function | def _attribute_matches(tag, selector):
if not _selector_matches(tag, selector.selector):
return False
# This selector allows a namespace to be specified as well, but that is
# not handled here.
# There are also options related to how to compare the values case-wise
# but that is apparently n... | def _attribute_matches(tag, selector):
| if not _selector_matches(tag, selector.selector):
return False
# This selector allows a namespace to be specified as well, but that is
# not handled here.
# There are also options related to how to compare the values case-wise
# but that is apparently not handled by cssselect.
if selecto... | the parent then
# it can't have a previous sibling.
if tag_index == 0:
return False
sibling = tag_children[tag_index - 1]
return _selector_matches(sibling, selector.selector)
def _column_matches(tag, selector):
# I don't know how to check this one.
return False
def _attribute_matches(... | 78 | 78 | 263 | 8 | 69 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _attribute_matches | _attribute_matches | 131 | 159 | 131 | 131 | 067a756b38d284904d93a065737781accb44d1d9 | bigcode/the-stack | train |
2de25d07eae5bc1001987340 | train | function | def _column_matches(tag, selector):
# I don't know how to check this one.
return False
| def _column_matches(tag, selector):
# I don't know how to check this one.
| return False
| then
# it can't have a previous sibling.
if tag_index == 0:
return False
sibling = tag_children[tag_index - 1]
return _selector_matches(sibling, selector.selector)
def _column_matches(tag, selector):
# I don't know how to check this one.
| 64 | 64 | 23 | 19 | 45 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _column_matches | _column_matches | 126 | 128 | 126 | 127 | 932331017372db6c08a6b8ea6d0d57f310c4c080 | bigcode/the-stack | train |
7aee01cc47c2aaef7f28bb32 | train | function | def _hash_matches(tag, hash):
if not hasattr(tag, 'id') or tag.id is None:
return False
if hasattr(tag, 'data'):
return False
return tag.id == hash.id and (
hash.selector is None or
_selector_matches(tag, hash.selector)
)
| def _hash_matches(tag, hash):
| if not hasattr(tag, 'id') or tag.id is None:
return False
if hasattr(tag, 'data'):
return False
return tag.id == hash.id and (
hash.selector is None or
_selector_matches(tag, hash.selector)
)
| # Probably not.
if not hasattr(tag, 'tag'):
return False
if hasattr(tag, 'data'):
return False
# element.element will be None for the universal selector ('*')
return tag.tag == element.element or element.element is None
def _hash_matches(tag, hash):
| 64 | 64 | 66 | 8 | 55 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _hash_matches | _hash_matches | 29 | 37 | 29 | 29 | 960a5ec21811d21ec709dcf4411371e4072c3742 | bigcode/the-stack | train |
0be208115270532b7aed49ec | train | function | def _pseudoclass_matches(tag, selector):
# This is a pseudo-class that does not take arguments
# Candidates to support:
# :any-link
# :empty
# :first-child
# :first-of-type
# :last-child
# :last-of-type
# :only-child
# :only-of-type
# :root (equivalent of 'h... | def _pseudoclass_matches(tag, selector):
# This is a pseudo-class that does not take arguments
# Candidates to support:
# :any-link
# :empty
# :first-child
# :first-of-type
# :last-child
# :last-of-type
# :only-child
# :only-of-type
# :root (equivalent of 'h... | if selector.ident in _pseudoclasses:
return _pseudoclasses[selector.ident](
tag,
selector
)
return False
| def _pseudoclass_matches(tag, selector):
# This is a pseudo-class that does not take arguments
# Candidates to support:
# :any-link
# :empty
# :first-child
# :first-of-type
# :last-child
# :last-of-type
# :only-child
# :only-of-type
# :root (equivalent of 'h... | 117 | 64 | 152 | 117 | 0 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _pseudoclass_matches | _pseudoclass_matches | 236 | 254 | 236 | 248 | ca962c8be237f35d8acadea8909d75c58c9fcc5d | bigcode/the-stack | train |
c8818a376d40e81e2758db04 | train | function | def _more_specific(specificity1, specificity2):
"""
Returns True if the first argument is more specific than the second,
otherwise False.
Specificity is a concept defined for CSS selectors:
https://www.w3.org/TR/selectors/#specificity
For our purposes, each specificity will be a tuple with thr... | def _more_specific(specificity1, specificity2):
| """
Returns True if the first argument is more specific than the second,
otherwise False.
Specificity is a concept defined for CSS selectors:
https://www.w3.org/TR/selectors/#specificity
For our purposes, each specificity will be a tuple with three elements.
"""
return _compare_specifi... | _selector_matches(tag, s.parsed_tree)
if is_match:
if _more_specific(s.specificity(), best_specificity):
matched = True
best_specificity = s.specificity()
return matched, best_specificity
def _more_specific(specificity1, specificity2):
| 64 | 64 | 92 | 12 | 51 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _more_specific | _more_specific | 337 | 347 | 337 | 337 | 4e38b71cac082d0f721abae38a8f0bf4630674bd | bigcode/the-stack | train |
baa19e06054c2822a8db85c0 | train | function | def _compare_specificity(specificity1, specificity2):
"""
Determines if one specificity are less than, equal to, or greater than
another. Returns -1, 0 or 1 for those cases respectively.
Specificity is a concept defined for CSS selectors:
https://www.w3.org/TR/selectors/#specificity
For our pu... | def _compare_specificity(specificity1, specificity2):
| """
Determines if one specificity are less than, equal to, or greater than
another. Returns -1, 0 or 1 for those cases respectively.
Specificity is a concept defined for CSS selectors:
https://www.w3.org/TR/selectors/#specificity
For our purposes, each specificity will be a tuple with three el... | , specificity2) > 0
def _compare(a, b, c=None):
if a == b:
if c is None:
return 0
else:
return c
else:
return a - b
def _compare_specificity(specificity1, specificity2):
| 64 | 64 | 205 | 13 | 50 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _compare_specificity | _compare_specificity | 360 | 391 | 360 | 360 | 76c09c8007384bad0a4ff61dcc0ac7151bfd9011 | bigcode/the-stack | train |
b1c344751af2f45e95876dc7 | train | function | def _combination_matches(tag, selector):
if selector.combinator == ' ':
return _descendant_matches(tag, selector)
elif selector.combinator == '>':
return _child_matches(tag, selector)
elif selector.combinator == '~':
return _general_sibling_matches(tag, selector)
elif selector.co... | def _combination_matches(tag, selector):
| if selector.combinator == ' ':
return _descendant_matches(tag, selector)
elif selector.combinator == '>':
return _child_matches(tag, selector)
elif selector.combinator == '~':
return _general_sibling_matches(tag, selector)
elif selector.combinator == '+':
return _adjacent... | (selector.value))
if selector.operator == '^=':
return attr_val.startswith(selector.value)
if selector.operator == '$=':
return attr_val.endswith(selector.value)
if selector.operator == '*=':
return selector.value in attr_val
return False
def _combination_... | 64 | 64 | 111 | 9 | 54 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _combination_matches | _combination_matches | 162 | 173 | 162 | 162 | 3cec9650f2a446accc438885194066b41e35ee13 | bigcode/the-stack | train |
fc72d614e565d0d3f5bd9e75 | train | function | def _last_child_matches(tag, selector):
if not hasattr(tag, 'parent') or tag.parent is None:
return False
if hasattr(tag, 'data'):
return False
tag_children = tag.parent.tag_children()
if len(tag_children) == 0:
# wat
return False
return tag_children[-1] is tag and _s... | def _last_child_matches(tag, selector):
| if not hasattr(tag, 'parent') or tag.parent is None:
return False
if hasattr(tag, 'data'):
return False
tag_children = tag.parent.tag_children()
if len(tag_children) == 0:
# wat
return False
return tag_children[-1] is tag and _selector_matches(tag, selector.selector)
| hasattr(tag, 'data'):
return False
tag_children = tag.parent.tag_children()
if len(tag_children) == 0:
# wat
return False
return tag_children[0] is tag and _selector_matches(tag, selector.selector)
def _last_child_matches(tag, selector):
| 64 | 64 | 85 | 9 | 55 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _last_child_matches | _last_child_matches | 218 | 227 | 218 | 218 | 68e165075b87203334e5de11cebad5e49e5226c1 | bigcode/the-stack | train |
d0d8092c984ec982d1d80789 | train | function | def _nth_child_matches(tag, selector):
if not hasattr(tag, 'parent') or tag.parent is None:
return False
if hasattr(tag, 'data'):
return False
# A lot of ways this could fail!
# TODO: Apparently this can take arguments like 'odd', 'even', '5n' (every 5th element)
n = int(selector.arg... | def _nth_child_matches(tag, selector):
| if not hasattr(tag, 'parent') or tag.parent is None:
return False
if hasattr(tag, 'data'):
return False
# A lot of ways this could fail!
# TODO: Apparently this can take arguments like 'odd', 'even', '5n' (every 5th element)
n = int(selector.arguments[0].value)
tag_children = tag... | ibling_matches(tag, selector)
elif selector.combinator == '+':
return _adjacent_sibling_matches(tag, selector)
elif selector.combinator == '||':
return _column_matches(tag, selector)
return False
# Pseudo Classes
def _nth_child_matches(tag, selector):
| 64 | 64 | 129 | 9 | 54 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _nth_child_matches | _nth_child_matches | 178 | 189 | 178 | 178 | c996a32b161ee094f64f906bdb6dae034a619d02 | bigcode/the-stack | train |
24b1965673e432aa36ffc382 | train | function | def _compare(a, b, c=None):
if a == b:
if c is None:
return 0
else:
return c
else:
return a - b
| def _compare(a, b, c=None):
| if a == b:
if c is None:
return 0
else:
return c
else:
return a - b
| defined for CSS selectors:
https://www.w3.org/TR/selectors/#specificity
For our purposes, each specificity will be a tuple with three elements.
"""
return _compare_specificity(specificity1, specificity2) > 0
def _compare(a, b, c=None):
| 64 | 64 | 43 | 10 | 53 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _compare | _compare | 350 | 357 | 350 | 350 | bb82a892e3dc6962a9a5f71f717be3a3ae2198cb | bigcode/the-stack | train |
98cbbd69aabfb0b83eb00be5 | train | function | def _any_ancestor_matches(tag, selector):
if not hasattr(tag, 'parent') or tag.parent is None:
return False
if _selector_matches(tag.parent, selector):
return True
return _any_ancestor_matches(tag.parent, selector)
| def _any_ancestor_matches(tag, selector):
| if not hasattr(tag, 'parent') or tag.parent is None:
return False
if _selector_matches(tag.parent, selector):
return True
return _any_ancestor_matches(tag.parent, selector)
| )
# Combination match functions
def _negation_matches(tag, selector):
if hasattr(tag, 'data'):
return False
return (
_selector_matches(tag, selector.selector) and
not _selector_matches(tag, selector.subselector)
)
def _any_ancestor_matches(tag, selector):
| 64 | 64 | 55 | 10 | 54 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _any_ancestor_matches | _any_ancestor_matches | 59 | 64 | 59 | 59 | c0b0c9ed6cda180deb32ae16ee3c8c45da0aeec7 | bigcode/the-stack | train |
1aa68b974a8eef506991cc6c | train | function | def _class_matches(tag, klass):
if not hasattr(tag, 'classes') or tag.classes is None:
return False
if hasattr(tag, 'data'):
return False
return klass.class_name in tag.classes and _selector_matches(tag, klass.selector)
| def _class_matches(tag, klass):
| if not hasattr(tag, 'classes') or tag.classes is None:
return False
if hasattr(tag, 'data'):
return False
return klass.class_name in tag.classes and _selector_matches(tag, klass.selector)
| not hasattr(tag, 'id') or tag.id is None:
return False
if hasattr(tag, 'data'):
return False
return tag.id == hash.id and (
hash.selector is None or
_selector_matches(tag, hash.selector)
)
def _class_matches(tag, klass):
| 64 | 64 | 56 | 8 | 56 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _class_matches | _class_matches | 40 | 45 | 40 | 40 | d8809fffcb3bb36101be5481814610b9a32b612e | bigcode/the-stack | train |
de4593f3863a097d03349699 | train | function | def _first_child_matches(tag, selector):
if not hasattr(tag, 'parent') or tag.parent is None:
return False
if hasattr(tag, 'data'):
return False
tag_children = tag.parent.tag_children()
if len(tag_children) == 0:
# wat
return False
return tag_children[0] is tag and _s... | def _first_child_matches(tag, selector):
| if not hasattr(tag, 'parent') or tag.parent is None:
return False
if hasattr(tag, 'data'):
return False
tag_children = tag.parent.tag_children()
if len(tag_children) == 0:
# wat
return False
return tag_children[0] is tag and _selector_matches(tag, selector.selector)
| 5th element)
n = int(selector.arguments[0].value)
tag_children = tag.parent.tag_children()
if n > len(tag_children):
return False
return tag_children[-n] is tag and _selector_matches(tag, selector.selector)
def _first_child_matches(tag, selector):
| 64 | 64 | 85 | 9 | 55 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _first_child_matches | _first_child_matches | 206 | 215 | 206 | 206 | d2c859d4e9edee7ef10733e84bd415a82a990f14 | bigcode/the-stack | train |
e843c488a79de6ed87388073 | train | function | def _pseudofunction_matches(tag, selector):
# This is a pseudo-class that takes arguments
# Candidates to support:
# :dir()
# :has()
# :is()
# :lang()
# :nth-child()
# :nth-col()
# :nth-last-child()
# :nth-last-col()
# :nth-last-of-type()
# :nth-of-typ... | def _pseudofunction_matches(tag, selector):
# This is a pseudo-class that takes arguments
# Candidates to support:
# :dir()
# :has()
# :is()
# :lang()
# :nth-child()
# :nth-col()
# :nth-last-child()
# :nth-last-col()
# :nth-last-of-type()
# :nth-of-typ... | if selector.name in _pseudofunctions:
return _pseudofunctions[selector.name](
tag,
selector
)
return False
| def _pseudofunction_matches(tag, selector):
# This is a pseudo-class that takes arguments
# Candidates to support:
# :dir()
# :has()
# :is()
# :lang()
# :nth-child()
# :nth-col()
# :nth-last-child()
# :nth-last-col()
# :nth-last-of-type()
# :nth-of-typ... | 105 | 64 | 142 | 105 | 0 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _pseudofunction_matches | _pseudofunction_matches | 263 | 282 | 263 | 276 | 9910da26bc551eba2e3819a2d376e3190ad05d4b | bigcode/the-stack | train |
5f4be768a41347474dd5cfd4 | train | function | def _adjacent_sibling_matches(tag, selector):
# The tag must match the subselector, while the sibling immediately before
# this tag in the parent must match the selector.
if not hasattr(tag, 'parent') or tag.parent is None:
return False
primary_match = _selector_matches(tag, selector.subselecto... | def _adjacent_sibling_matches(tag, selector):
# The tag must match the subselector, while the sibling immediately before
# this tag in the parent must match the selector.
| if not hasattr(tag, 'parent') or tag.parent is None:
return False
primary_match = _selector_matches(tag, selector.subselector)
if not primary_match:
return False
tag_children = tag.parent.tag_children()
tag_index = tag_children.index(tag)
# If the tag is the first within the pa... | tag:
return False
if _selector_matches(sibling, selector.selector):
return True
return False
def _adjacent_sibling_matches(tag, selector):
# The tag must match the subselector, while the sibling immediately before
# this tag in the parent must match the selector.
| 64 | 64 | 155 | 39 | 24 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _adjacent_sibling_matches | _adjacent_sibling_matches | 106 | 123 | 106 | 108 | f911f7fc8bc469b37748678b75e3335b730b7b3a | bigcode/the-stack | train |
f6754347d6fc4323dc991f7e | train | function | def _element_matches(tag, element):
# Unclear if the document root should match anything.
# Probably not.
if not hasattr(tag, 'tag'):
return False
if hasattr(tag, 'data'):
return False
# element.element will be None for the universal selector ('*')
return tag.tag == element.eleme... | def _element_matches(tag, element):
# Unclear if the document root should match anything.
# Probably not.
| if not hasattr(tag, 'tag'):
return False
if hasattr(tag, 'data'):
return False
# element.element will be None for the universal selector ('*')
return tag.tag == element.element or element.element is None
| Element,
Class,
FunctionalPseudoElement,
Function,
Pseudo,
Negation,
Attrib,
Hash,
CombinedSelector,
)
# Basic match functions
def _element_matches(tag, element):
# Unclear if the document root should match anything.
# Probably not.
| 64 | 64 | 77 | 25 | 38 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _element_matches | _element_matches | 18 | 26 | 18 | 20 | 319d0543b4d65103bfc95c32bdf1415b974dd96f | bigcode/the-stack | train |
3f2a7e626f5a33da162c5a67 | train | function | def _pseudoelement_matches(tag, selector):
# It is unclear if cssselect supports all peudo-elements or only ones that
# take arguments, but we are not supporting any of them anyway.
return False
| def _pseudoelement_matches(tag, selector):
# It is unclear if cssselect supports all peudo-elements or only ones that
# take arguments, but we are not supporting any of them anyway.
| return False
| ofunctions[selector.name](
tag,
selector
)
return False
def _pseudoelement_matches(tag, selector):
# It is unclear if cssselect supports all peudo-elements or only ones that
# take arguments, but we are not supporting any of them anyway.
| 64 | 64 | 48 | 44 | 19 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _pseudoelement_matches | _pseudoelement_matches | 285 | 288 | 285 | 287 | 64f13fa08d3b39e930ef0f26f8cf32c6fa5568a9 | bigcode/the-stack | train |
666c569b4c8a53b2687b32ee | train | function | def _descendant_matches(tag, selector):
# The tag must match the subselector, while some ancestor element must match
# the main selector.
primary_match = _selector_matches(tag, selector.subselector)
if not primary_match:
return False
# Need to walk back up the tree checking the selector
... | def _descendant_matches(tag, selector):
# The tag must match the subselector, while some ancestor element must match
# the main selector.
| primary_match = _selector_matches(tag, selector.subselector)
if not primary_match:
return False
# Need to walk back up the tree checking the selector
return _any_ancestor_matches(tag, selector.selector)
| None:
return False
if _selector_matches(tag.parent, selector):
return True
return _any_ancestor_matches(tag.parent, selector)
def _descendant_matches(tag, selector):
# The tag must match the subselector, while some ancestor element must match
# the main selector.
| 64 | 64 | 80 | 32 | 32 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _descendant_matches | _descendant_matches | 67 | 75 | 67 | 69 | dd4858b821151285ca1d759b4b27a30e2a1b0001 | bigcode/the-stack | train |
4eb9a8cdb288155846c0b5ee | train | class | class Specificity(object):
"""
Specificity wrapper to allow for comparisons during sorting.
"""
def __init__(self, specificity):
self.specificity = specificity
def __getitem__(self, key):
return self.specificity[key]
def __eq__(self, other):
return _compare_specificity... | class Specificity(object):
| """
Specificity wrapper to allow for comparisons during sorting.
"""
def __init__(self, specificity):
self.specificity = specificity
def __getitem__(self, key):
return self.specificity[key]
def __eq__(self, other):
return _compare_specificity(self.specificity, other.sp... | [1],
specificity2[1],
_compare(
specificity1[2],
specificity2[2],
)
)
)
if result > 0:
return 1
elif result < 0:
return -1
return result
class Specificity(object):
| 64 | 64 | 199 | 5 | 58 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | Specificity | Specificity | 394 | 418 | 394 | 394 | 4a63afd00113b26f38a97f987495420730bddf93 | bigcode/the-stack | train |
7f3380c99f55ba7566e3bc0f | train | function | def tag_matches(tag, selector):
"""
Determine if a given tag matches a given selector.
Returns a boolean indicating a match or not, and a value indicating the
specificity of the matched selector.
"""
# The selector will actually be a list, though perhaps one with only one
# element. If mult... | def tag_matches(tag, selector):
| """
Determine if a given tag matches a given selector.
Returns a boolean indicating a match or not, and a value indicating the
specificity of the matched selector.
"""
# The selector will actually be a list, though perhaps one with only one
# element. If multiple elements match then we need... | pseudofunction_matches(tag, selector)
elif isinstance(selector, FunctionalPseudoElement):
return _pseudoelement_matches(tag, selector)
elif isinstance(selector, CombinedSelector):
return _combination_matches(tag, selector)
# oh no
return False
def tag_matches(tag, selector):
| 64 | 64 | 157 | 7 | 56 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | tag_matches | tag_matches | 315 | 334 | 315 | 315 | d69e23def9c44fa74693eb359e22806214b04f3c | bigcode/the-stack | train |
4ee62fc2af45ebeff4aa62e2 | train | function | def _selector_matches(tag, selector):
if isinstance(selector, Element):
return _element_matches(tag, selector)
elif isinstance(selector, Class):
return _class_matches(tag, selector)
elif isinstance(selector, Hash):
return _hash_matches(tag, selector)
elif isinstance(selector, Neg... | def _selector_matches(tag, selector):
| if isinstance(selector, Element):
return _element_matches(tag, selector)
elif isinstance(selector, Class):
return _class_matches(tag, selector)
elif isinstance(selector, Hash):
return _hash_matches(tag, selector)
elif isinstance(selector, Negation):
return _negation_match... | selector
)
return False
def _pseudoelement_matches(tag, selector):
# It is unclear if cssselect supports all peudo-elements or only ones that
# take arguments, but we are not supporting any of them anyway.
return False
def _selector_matches(tag, selector):
| 64 | 64 | 178 | 8 | 55 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _selector_matches | _selector_matches | 291 | 312 | 291 | 291 | 0ece9689d026d5f92fc06bffc60da545cc1185eb | bigcode/the-stack | train |
510fa40eca5cd7f7cd4b0e9a | train | function | def _nth_last_child_matches(tag, selector):
if not hasattr(tag, 'parent') or tag.parent is None:
return False
if hasattr(tag, 'data'):
return False
# A lot of ways this could fail!
# TODO: Apparently this can take arguments like 'odd', 'even', '5n' (every 5th element)
n = int(selecto... | def _nth_last_child_matches(tag, selector):
| if not hasattr(tag, 'parent') or tag.parent is None:
return False
if hasattr(tag, 'data'):
return False
# A lot of ways this could fail!
# TODO: Apparently this can take arguments like 'odd', 'even', '5n' (every 5th element)
n = int(selector.arguments[0].value)
tag_children = tag... | element)
n = int(selector.arguments[0].value)
tag_children = tag.parent.tag_children()
if n > len(tag_children):
return False
return tag_children[n - 1] is tag and _selector_matches(tag, selector.selector)
def _nth_last_child_matches(tag, selector):
| 64 | 64 | 128 | 10 | 54 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _nth_last_child_matches | _nth_last_child_matches | 192 | 203 | 192 | 192 | fc31895d3f4fe4babebeffe65efd4874ba31ffa0 | bigcode/the-stack | train |
e3f6adad930df1fc89e5bbfd | train | function | def _negation_matches(tag, selector):
if hasattr(tag, 'data'):
return False
return (
_selector_matches(tag, selector.selector) and
not _selector_matches(tag, selector.subselector)
)
| def _negation_matches(tag, selector):
| if hasattr(tag, 'data'):
return False
return (
_selector_matches(tag, selector.selector) and
not _selector_matches(tag, selector.subselector)
)
| klass):
if not hasattr(tag, 'classes') or tag.classes is None:
return False
if hasattr(tag, 'data'):
return False
return klass.class_name in tag.classes and _selector_matches(tag, klass.selector)
# Combination match functions
def _negation_matches(tag, selector):
| 64 | 64 | 48 | 9 | 54 | khoulihan/gopher-render | gopher_render/_selectors.py | Python | _negation_matches | _negation_matches | 50 | 56 | 50 | 50 | 9ee33f6ea0ed01f9dd31263e4277fc8ac635989c | bigcode/the-stack | train |
416d1bfe1e4fa68a26bf6cf5 | train | class | class DescribeMonitoringAgentHostsRequest(RpcRequest):
def __init__(self):
RpcRequest.__init__(self, 'Cms', '2019-01-01', 'DescribeMonitoringAgentHosts','cms')
def get_HostName(self):
return self.get_query_params().get('HostName')
def set_HostName(self,HostName):
self.add_query_param('HostName',HostNa... | class DescribeMonitoringAgentHostsRequest(RpcRequest):
| def __init__(self):
RpcRequest.__init__(self, 'Cms', '2019-01-01', 'DescribeMonitoringAgentHosts','cms')
def get_HostName(self):
return self.get_query_params().get('HostName')
def set_HostName(self,HostName):
self.add_query_param('HostName',HostName)
def get_InstanceIds(self):
return self.get_qu... | www.apache.org/licenses/LICENSE-2.0
#
#
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissi... | 98 | 98 | 327 | 10 | 87 | sdk-team/aliyun-openapi-python-sdk | aliyun-python-sdk-cms/aliyunsdkcms/request/v20190101/DescribeMonitoringAgentHostsRequest.py | Python | DescribeMonitoringAgentHostsRequest | DescribeMonitoringAgentHostsRequest | 21 | 66 | 21 | 22 | 2d680c36de53a9d5c346f1e43741577d6976c0d4 | bigcode/the-stack | train |
1723e862840971f96ba0dd54 | train | function | def select_dest(pp):
global dest, outfile
if pp != dest:
if outfile is not None:
outfile.close()
dest = pp
libname = "kicad_libs/%s.lib" % dest
try:
chk1 = open(libname, "r")
chk1.close()
# File already existed, so open as append, a... | def select_dest(pp):
| global dest, outfile
if pp != dest:
if outfile is not None:
outfile.close()
dest = pp
libname = "kicad_libs/%s.lib" % dest
try:
chk1 = open(libname, "r")
chk1.close()
# File already existed, so open as append, and don't put in heade... | ] = map2[aa[1]]
ll = " ".join(aa) + "\n"
else:
print("map2 lookup failed for " + aa[1])
fdo.write(ll)
if not test_only:
rename(ofile, filen)
def select_dest(pp):
| 64 | 64 | 179 | 5 | 59 | BerkeleyLab/Marble | design/scripts/dissect_lib3.py | Python | select_dest | select_dest | 80 | 99 | 80 | 80 | 73a57f12cf74b558610312699a192387b5c9c44d | bigcode/the-stack | train |
8de423cdb7a7fc19335591a2 | train | function | def kill_ending(s, t):
if s.endswith(t):
return True, s[0:-len(t)]
else:
return False, s
| def kill_ending(s, t):
| if s.endswith(t):
return True, s[0:-len(t)]
else:
return False, s
| except IOError:
print("Creating " + pp)
outfile = open(libname, "w")
outfile.write("EESchema-LIBRARY Version 2.4\n")
outfile.write("#encoding utf-8\n")
outfile.write("#\n")
def kill_ending(s, t):
| 64 | 64 | 34 | 8 | 56 | BerkeleyLab/Marble | design/scripts/dissect_lib3.py | Python | kill_ending | kill_ending | 102 | 106 | 102 | 102 | 73bea794179599d8a2b617a4184defe9ecd2827f | bigcode/the-stack | train |
c8d298f32fcc3813508a048a | train | function | def process_schem(filen):
print("Processing " + filen)
ofile = filen + "2"
with open(filen, "r") as fdi:
with open(ofile, "w") as fdo:
for ll in fdi.readlines():
aa = ll.split()
if len(aa) == 3 and aa[0] == "L":
if aa[1] in map2:
... | def process_schem(filen):
| print("Processing " + filen)
ofile = filen + "2"
with open(filen, "r") as fdi:
with open(ofile, "w") as fdo:
for ll in fdi.readlines():
aa = ll.split()
if len(aa) == 3 and aa[0] == "L":
if aa[1] in map2:
aa[1] = ... |
# Implicitly depends on the value of global map2
# Example modification:
# -L FPGA_Xilinx_Kintex7:XC7K160T-FFG676 U?
# +L marble_misc:XC7K160T-FFG676 U?
def process_schem(filen):
| 64 | 64 | 157 | 7 | 57 | BerkeleyLab/Marble | design/scripts/dissect_lib3.py | Python | process_schem | process_schem | 62 | 77 | 62 | 62 | c575af19be774560f9de11d3f002161b6af3b832 | bigcode/the-stack | train |
cb2f7b51b908033917a4b451 | train | class | @declare(guid=guid("aa4c798d-d91b-4b07-a013-787f5803d6fc"), event_id=100, version=0)
class Microsoft_Windows_StorageSpaces_ManagementAgent_100_0(Etw):
pattern = Struct(
"hc_stateid" / Int32ul
)
| @declare(guid=guid("aa4c798d-d91b-4b07-a013-787f5803d6fc"), event_id=100, version=0)
class Microsoft_Windows_StorageSpaces_ManagementAgent_100_0(Etw):
| pattern = Struct(
"hc_stateid" / Int32ul
)
| Etw, declare, guid
@declare(guid=guid("aa4c798d-d91b-4b07-a013-787f5803d6fc"), event_id=100, version=0)
class Microsoft_Windows_StorageSpaces_ManagementAgent_100_0(Etw):
| 64 | 64 | 75 | 57 | 6 | IMULMUL/etl-parser | etl/parsers/etw/Microsoft_Windows_StorageSpaces_ManagementAgent.py | Python | Microsoft_Windows_StorageSpaces_ManagementAgent_100_0 | Microsoft_Windows_StorageSpaces_ManagementAgent_100_0 | 12 | 16 | 12 | 13 | 6a8fb66040f0e63f4cb24d6c2dab9883f498da48 | bigcode/the-stack | train |
503ec7d21cd57ed007e41826 | train | function | def get_function(function_name: Optional[str] = None,
job_name: Optional[str] = None,
resource_group_name: Optional[str] = None,
opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetFunctionResult:
"""
A function object, containing all information associ... | def get_function(function_name: Optional[str] = None,
job_name: Optional[str] = None,
resource_group_name: Optional[str] = None,
opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetFunctionResult:
| """
A function object, containing all information associated with the named function. All functions are contained under a streaming job.
:param str function_name: The name of the function.
:param str job_name: The name of the streaming job.
:param str resource_group_name: The name of the resource ... | :
yield self
return GetFunctionResult(
id=self.id,
name=self.name,
properties=self.properties,
type=self.type)
def get_function(function_name: Optional[str] = None,
job_name: Optional[str] = None,
resource_group_name: ... | 84 | 84 | 282 | 53 | 31 | pulumi/pulumi-azure-nextgen | sdk/python/pulumi_azure_nextgen/streamanalytics/v20170401preview/get_function.py | Python | get_function | get_function | 82 | 108 | 82 | 85 | 9bc4221fb6815d028663ea9d2ba5d04e08f1b60a | bigcode/the-stack | train |
b82f74081619757c5bc79ec6 | train | class | @pulumi.output_type
class GetFunctionResult:
"""
A function object, containing all information associated with the named function. All functions are contained under a streaming job.
"""
def __init__(__self__, id=None, name=None, properties=None, type=None):
if id and not isinstance(id, str):
... | @pulumi.output_type
class GetFunctionResult:
| """
A function object, containing all information associated with the named function. All functions are contained under a streaming job.
"""
def __init__(__self__, id=None, name=None, properties=None, type=None):
if id and not isinstance(id, str):
raise TypeError("Expected argument '... | WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from . import outputs
_... | 108 | 108 | 361 | 11 | 97 | pulumi/pulumi-azure-nextgen | sdk/python/pulumi_azure_nextgen/streamanalytics/v20170401preview/get_function.py | Python | GetFunctionResult | GetFunctionResult | 18 | 67 | 18 | 19 | 0fc3afdac1d11d4fecb86bffdf071c666f16966e | bigcode/the-stack | train |
63c3c53516e717eca71793cb | train | class | class AwaitableGetFunctionResult(GetFunctionResult):
# pylint: disable=using-constant-test
def __await__(self):
if False:
yield self
return GetFunctionResult(
id=self.id,
name=self.name,
properties=self.properties,
type=self.type)
| class AwaitableGetFunctionResult(GetFunctionResult):
# pylint: disable=using-constant-test
| def __await__(self):
if False:
yield self
return GetFunctionResult(
id=self.id,
name=self.name,
properties=self.properties,
type=self.type)
| .get(self, "properties")
@property
@pulumi.getter
def type(self) -> str:
"""
Resource type
"""
return pulumi.get(self, "type")
class AwaitableGetFunctionResult(GetFunctionResult):
# pylint: disable=using-constant-test
| 64 | 64 | 62 | 21 | 43 | pulumi/pulumi-azure-nextgen | sdk/python/pulumi_azure_nextgen/streamanalytics/v20170401preview/get_function.py | Python | AwaitableGetFunctionResult | AwaitableGetFunctionResult | 70 | 79 | 70 | 71 | ec9399c1477c7d19d25a0b400171c13597d8f4e2 | bigcode/the-stack | train |
8f555f4232368c1ca4625b4a | train | function | def read_input_args():
parser = argparse.ArgumentParser()
parser.add_argument(
"--model_path", type=validate_existing_filepath, required=True, help="Path of model weights"
)
parser.add_argument(
"--model_info_path",
type=validate_existing_filepath,
required=True,
... | def read_input_args():
| parser = argparse.ArgumentParser()
parser.add_argument(
"--model_path", type=validate_existing_filepath, required=True, help="Path of model weights"
)
parser.add_argument(
"--model_info_path",
type=validate_existing_filepath,
required=True,
help="Path of model top... | _architect.utils.generic import pad_sentences
from nlp_architect.utils.io import validate_existing_filepath
from nlp_architect.utils.text import SpacyInstance
nlp = SpacyInstance(disable=["tagger", "ner", "parser", "vectors", "textcat"])
def read_input_args():
| 63 | 64 | 85 | 5 | 58 | ikuyamada/nlp-architect | examples/intent_extraction/interactive.py | Python | read_input_args | read_input_args | 32 | 44 | 32 | 32 | 02da76a0987562ce0ce81314847c7cbbd4f56da7 | bigcode/the-stack | train |
ec22f47c3e2fb073570dc267 | train | function | def process_text(text):
input_text = " ".join(text.strip().split())
return nlp.tokenize(input_text)
| def process_text(text):
| input_text = " ".join(text.strip().split())
return nlp.tokenize(input_text)
| input_args = parser.parse_args()
return input_args
def load_saved_model():
if model_type == "seq2seq":
model = Seq2SeqIntentModel()
else:
model = MultiTaskIntentModel()
model.load(args.model_path)
return model
def process_text(text):
| 64 | 64 | 26 | 5 | 58 | ikuyamada/nlp-architect | examples/intent_extraction/interactive.py | Python | process_text | process_text | 56 | 58 | 56 | 56 | 9ea3719899b4dbc40c496adf6dd97d9ec5dac490 | bigcode/the-stack | train |
d117cf7d15febe80a9ba0fd1 | train | function | def vectorize(doc, vocab, char_vocab=None):
words = np.asarray([vocab[w.lower()] if w.lower() in vocab else 1 for w in doc]).reshape(1, -1)
if char_vocab is not None:
sentence_chars = []
for w in doc:
word_chars = []
for c in w:
if c in char_vocab:
... | def vectorize(doc, vocab, char_vocab=None):
| words = np.asarray([vocab[w.lower()] if w.lower() in vocab else 1 for w in doc]).reshape(1, -1)
if char_vocab is not None:
sentence_chars = []
for w in doc:
word_chars = []
for c in w:
if c in char_vocab:
_cid = char_vocab[c]
... | 2SeqIntentModel()
else:
model = MultiTaskIntentModel()
model.load(args.model_path)
return model
def process_text(text):
input_text = " ".join(text.strip().split())
return nlp.tokenize(input_text)
def vectorize(doc, vocab, char_vocab=None):
| 64 | 64 | 149 | 11 | 53 | ikuyamada/nlp-architect | examples/intent_extraction/interactive.py | Python | vectorize | vectorize | 61 | 77 | 61 | 61 | 3348929374f4457650e63181dfed84d145e9e6e8 | bigcode/the-stack | train |
7cf361bf44f12871be48ef58 | train | function | def load_saved_model():
if model_type == "seq2seq":
model = Seq2SeqIntentModel()
else:
model = MultiTaskIntentModel()
model.load(args.model_path)
return model
| def load_saved_model():
| if model_type == "seq2seq":
model = Seq2SeqIntentModel()
else:
model = MultiTaskIntentModel()
model.load(args.model_path)
return model
| _filepath, required=True, help="Path of model weights"
)
parser.add_argument(
"--model_info_path",
type=validate_existing_filepath,
required=True,
help="Path of model topology",
)
input_args = parser.parse_args()
return input_args
def load_saved_model():
| 64 | 64 | 46 | 5 | 58 | ikuyamada/nlp-architect | examples/intent_extraction/interactive.py | Python | load_saved_model | load_saved_model | 47 | 53 | 47 | 47 | b56ca9d77b5a28e8d6f04884160b3e3010804071 | bigcode/the-stack | train |
eb3b170edde4fb03ab75e213 | train | function | def bezier_fit(x, y):
dy = y[1:] - y[:-1]
dx = x[1:] - x[:-1]
dt = (dx ** 2 + dy ** 2)**0.5
t = dt/dt.sum()
t = np.hstack(([0], t))
t = t.cumsum()
data = np.column_stack((x, y))
Pseudoinverse = np.linalg.pinv(BezierCoeff(t)) # (9,4) -> (4,9)
control_points = Pseudoinverse.dot(data)... | def bezier_fit(x, y):
| dy = y[1:] - y[:-1]
dx = x[1:] - x[:-1]
dt = (dx ** 2 + dy ** 2)**0.5
t = dt/dt.sum()
t = np.hstack(([0], t))
t = t.cumsum()
data = np.column_stack((x, y))
Pseudoinverse = np.linalg.pinv(BezierCoeff(t)) # (9,4) -> (4,9)
control_points = Pseudoinverse.dot(data) # (4,9)*(9,2) -> ... | )
Mtk = lambda n, t, k: t**k * (1-t)**(n-k) * n_over_k(n,k)
BezierCoeff = lambda ts: [[Mtk(3,t,k) for k in range(4)] for t in ts]
def bezier_fit(x, y):
| 64 | 64 | 165 | 8 | 56 | Pxtri2156/AdelaiDet_v2 | datasets/custom_data/Bezier_generator2.py | Python | bezier_fit | bezier_fit | 98 | 111 | 98 | 98 | 463b9fbfac01db9e611522135072ae3a6c93769e | bigcode/the-stack | train |
0da1564dfae728a88ee95525 | train | class | class Bezier(nn.Module):
def __init__(self, ps, ctps):
"""
ps: numpy array of points
"""
super(Bezier, self).__init__()
self.x1 = nn.Parameter(torch.as_tensor(ctps[0], dtype=torch.float64))
self.x2 = nn.Parameter(torch.as_tensor(ctps[2], dtype=torch.float64))
... | class Bezier(nn.Module):
| def __init__(self, ps, ctps):
"""
ps: numpy array of points
"""
super(Bezier, self).__init__()
self.x1 = nn.Parameter(torch.as_tensor(ctps[0], dtype=torch.float64))
self.x2 = nn.Parameter(torch.as_tensor(ctps[2], dtype=torch.float64))
self.y1 = nn.Parameter(to... | .image as mpimg
from scipy import interpolate
from scipy.special import comb as n_over_k
import glob, os
import cv2
from skimage import data, color
from skimage.transform import rescale, resize, downscale_local_mean
import matplotlib.pyplot as plt
import math
import numpy as np
import random
# from scipy.optimize imp... | 160 | 160 | 535 | 6 | 153 | Pxtri2156/AdelaiDet_v2 | datasets/custom_data/Bezier_generator2.py | Python | Bezier | Bezier | 34 | 67 | 34 | 34 | e2208debccc4a0078bf88ad5ac0e22afe05d67a4 | bigcode/the-stack | train |
e11f3439511ff35a96671deb | train | function | def draw(ps, control_points, t):
x = ps[:, 0]
y = ps[:, 1]
x0, x1, x2, x3, y0, y1, y2, y3 = control_points
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(x,y,color='m',linestyle='',marker='.')
bezier_x = (1-t)*((1-t)*((1-t)*x0+t*x1)+t*((1-t)*x1+t*x2))+t*((1-t)*((1-t)*x1+t*x2)+t*((1-t)*... | def draw(ps, control_points, t):
| x = ps[:, 0]
y = ps[:, 1]
x0, x1, x2, x3, y0, y1, y2, y3 = control_points
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(x,y,color='m',linestyle='',marker='.')
bezier_x = (1-t)*((1-t)*((1-t)*x0+t*x1)+t*((1-t)*x1+t*x2))+t*((1-t)*((1-t)*x1+t*x2)+t*((1-t)*x2+t*x3))
bezier_y = (1-t)*((... | .y2.item(), self.y3
def train(x, y, ctps, lr):
x, y = np.array(x), np.array(y)
ps = np.vstack((x, y)).transpose()
bezier = Bezier(ps, ctps)
return bezier.control_points_f()
def draw(ps, control_points, t):
| 73 | 73 | 245 | 9 | 64 | Pxtri2156/AdelaiDet_v2 | datasets/custom_data/Bezier_generator2.py | Python | draw | draw | 77 | 91 | 77 | 77 | 147a659bbed29640efd966bb987fae032fc62f80 | bigcode/the-stack | train |
0af307d6d6b8b2f03fe5295f | train | function | def is_close_to_line(xs, ys, thres):
regression_model = LinearRegression()
# Fit the data(train the model)
regression_model.fit(xs.reshape(-1,1), ys.reshape(-1,1))
# Predict
y_predicted = regression_model.predict(xs.reshape(-1,1))
# model evaluation
rmse = mean_s... | def is_close_to_line(xs, ys, thres):
| regression_model = LinearRegression()
# Fit the data(train the model)
regression_model.fit(xs.reshape(-1,1), ys.reshape(-1,1))
# Predict
y_predicted = regression_model.predict(xs.reshape(-1,1))
# model evaluation
rmse = mean_squared_error(ys.reshape(-1,1)**2, y_p... | * x[-1])/3.0
yc02 = (y[0] + 2* y[-1])/3.0
control_points = [xc01,yc01,xc02,yc02]
return control_points
def is_close_to_line(xs, ys, thres):
| 64 | 64 | 145 | 12 | 51 | Pxtri2156/AdelaiDet_v2 | datasets/custom_data/Bezier_generator2.py | Python | is_close_to_line | is_close_to_line | 121 | 135 | 121 | 121 | 7f09eb4eb5de88b72e20638c08596c8330030476 | bigcode/the-stack | train |
19c6f7692823da7d69886bd7 | train | function | def train(x, y, ctps, lr):
x, y = np.array(x), np.array(y)
ps = np.vstack((x, y)).transpose()
bezier = Bezier(ps, ctps)
return bezier.control_points_f()
| def train(x, y, ctps, lr):
| x, y = np.array(x), np.array(y)
ps = np.vstack((x, y)).transpose()
bezier = Bezier(ps, ctps)
return bezier.control_points_f()
| self.y2, self.y3
def control_points_f(self):
return self.x0, self.x1.item(), self.x2.item(), self.x3, self.y0, self.y1.item(), self.y2.item(), self.y3
def train(x, y, ctps, lr):
| 64 | 64 | 56 | 11 | 52 | Pxtri2156/AdelaiDet_v2 | datasets/custom_data/Bezier_generator2.py | Python | train | train | 70 | 75 | 70 | 70 | a96e46ee9513fbbdb2abf5c0f808240cdf3596fc | bigcode/the-stack | train |
0b3a243adc9f523e0ca420c7 | train | function | def bezier_fitv2(x, y):
xc01 = (2*x[0] + x[-1])/3.0
yc01 = (2*y[0] + y[-1])/3.0
xc02 = (x[0] + 2* x[-1])/3.0
yc02 = (y[0] + 2* y[-1])/3.0
control_points = [xc01,yc01,xc02,yc02]
return control_points
| def bezier_fitv2(x, y):
| xc01 = (2*x[0] + x[-1])/3.0
yc01 = (2*y[0] + y[-1])/3.0
xc02 = (x[0] + 2* x[-1])/3.0
yc02 = (y[0] + 2* y[-1])/3.0
control_points = [xc01,yc01,xc02,yc02]
return control_points
| ,9)
control_points = Pseudoinverse.dot(data) # (4,9)*(9,2) -> (4,2)
medi_ctp = control_points[1:-1,:].flatten().tolist()
return medi_ctp
def bezier_fitv2(x, y):
| 64 | 64 | 112 | 10 | 53 | Pxtri2156/AdelaiDet_v2 | datasets/custom_data/Bezier_generator2.py | Python | bezier_fitv2 | bezier_fitv2 | 113 | 119 | 113 | 113 | 796f8052d90f5250821b0f9c9f1d1ceb0bfad883 | bigcode/the-stack | train |
89503507acf95c7aeb269d49 | train | function | def is_close_to_linev2(xs, ys, size, thres = 0.05):
pts = []
nor_pixel = int(size**0.5)
for i in range(len(xs)):
pts.append(Point([xs[i], ys[i]]))
import itertools
# iterate by pairs of points
slopes = [(second.y-first.y)/(second.x-first.x) if not (second.... | def is_close_to_linev2(xs, ys, size, thres = 0.05):
| pts = []
nor_pixel = int(size**0.5)
for i in range(len(xs)):
pts.append(Point([xs[i], ys[i]]))
import itertools
# iterate by pairs of points
slopes = [(second.y-first.y)/(second.x-first.x) if not (second.x-first.x) == 0.0 else math.inf*np.sign((second.y-fi... | se/(ys.reshape(-1,1)**2- y_predicted**2).max()**2
if rmse > thres:
return 0.0
else:
return 2.0
def is_close_to_linev2(xs, ys, size, thres = 0.05):
| 68 | 68 | 229 | 21 | 46 | Pxtri2156/AdelaiDet_v2 | datasets/custom_data/Bezier_generator2.py | Python | is_close_to_linev2 | is_close_to_linev2 | 137 | 154 | 137 | 137 | b874c5dd9c37d297665f7e4e84579f2e309e503b | bigcode/the-stack | train |
e9d57fed7374ca12fdedcf98 | train | function | @insubprocess
@subproc_env({'HDF5_PLUGIN_PATH': 'h5py_plugin_test'})
def test_replace(request):
h5pl.replace(b'/opt/hdf5/vendor-plugin', 0)
assert h5pl.size() == 1
assert h5pl.get(0) == b'/opt/hdf5/vendor-plugin'
| @insubprocess
@subproc_env({'HDF5_PLUGIN_PATH': 'h5py_plugin_test'})
def test_replace(request):
| h5pl.replace(b'/opt/hdf5/vendor-plugin', 0)
assert h5pl.size() == 1
assert h5pl.get(0) == b'/opt/hdf5/vendor-plugin'
| assert h5pl.get(0) == b'/opt/hdf5/vendor-plugin'
assert h5pl.get(1) == b'h5py_plugin_test'
@insubprocess
@subproc_env({'HDF5_PLUGIN_PATH': 'h5py_plugin_test'})
def test_replace(request):
| 64 | 64 | 77 | 28 | 36 | Priyansh863/e-backend | Lib/site-packages/h5py/tests/test_h5pl.py | Python | test_replace | test_replace | 59 | 64 | 59 | 61 | e6c4e39ab54201b33c449d19a02aff4bcbe64f76 | bigcode/the-stack | train |
da3be413232c391ccaf7d328 | train | function | @insubprocess
@subproc_env({'HDF5_PLUGIN_PATH': 'h5py_plugin_test'})
def test_prepend(request):
h5pl.prepend(b'/opt/hdf5/vendor-plugin')
assert h5pl.size() == 2
assert h5pl.get(0) == b'/opt/hdf5/vendor-plugin'
assert h5pl.get(1) == b'h5py_plugin_test'
| @insubprocess
@subproc_env({'HDF5_PLUGIN_PATH': 'h5py_plugin_test'})
def test_prepend(request):
| h5pl.prepend(b'/opt/hdf5/vendor-plugin')
assert h5pl.size() == 2
assert h5pl.get(0) == b'/opt/hdf5/vendor-plugin'
assert h5pl.get(1) == b'h5py_plugin_test'
| assert h5pl.get(0) == b'h5py_plugin_test'
assert h5pl.get(1) == b'/opt/hdf5/vendor-plugin'
@insubprocess
@subproc_env({'HDF5_PLUGIN_PATH': 'h5py_plugin_test'})
def test_prepend(request):
| 64 | 64 | 91 | 29 | 35 | Priyansh863/e-backend | Lib/site-packages/h5py/tests/test_h5pl.py | Python | test_prepend | test_prepend | 41 | 47 | 41 | 43 | dd3ebb0871410a79fad623f53dcc860983424bd7 | bigcode/the-stack | train |
c5e543428a7cb1160df9c147 | train | function | @insubprocess
@subproc_env({'HDF5_PLUGIN_PATH': 'h5py_plugin_test'})
def test_insert(request):
h5pl.insert(b'/opt/hdf5/vendor-plugin', 0)
assert h5pl.size() == 2
assert h5pl.get(0) == b'/opt/hdf5/vendor-plugin'
assert h5pl.get(1) == b'h5py_plugin_test'
| @insubprocess
@subproc_env({'HDF5_PLUGIN_PATH': 'h5py_plugin_test'})
def test_insert(request):
| h5pl.insert(b'/opt/hdf5/vendor-plugin', 0)
assert h5pl.size() == 2
assert h5pl.get(0) == b'/opt/hdf5/vendor-plugin'
assert h5pl.get(1) == b'h5py_plugin_test'
| assert h5pl.get(0) == b'/opt/hdf5/vendor-plugin'
assert h5pl.get(1) == b'h5py_plugin_test'
@insubprocess
@subproc_env({'HDF5_PLUGIN_PATH': 'h5py_plugin_test'})
def test_insert(request):
| 64 | 64 | 92 | 28 | 36 | Priyansh863/e-backend | Lib/site-packages/h5py/tests/test_h5pl.py | Python | test_insert | test_insert | 50 | 56 | 50 | 52 | ff6b60c866c4706cba584acea9b682bb8cc9de39 | bigcode/the-stack | train |
d51f6da37d9093c0aa19ed75 | train | function | @insubprocess
@subproc_env({'HDF5_PLUGIN_PATH': 'h5py_plugin_test'})
def test_default(request):
assert h5pl.size() == 1
assert h5pl.get(0) == b'h5py_plugin_test'
| @insubprocess
@subproc_env({'HDF5_PLUGIN_PATH': 'h5py_plugin_test'})
def test_default(request):
| assert h5pl.size() == 1
assert h5pl.get(0) == b'h5py_plugin_test'
| (
h5py.version.hdf5_version_tuple < (1, 10, 1), reason='HDF5 1.10.1+ required'
)
@insubprocess
@subproc_env({'HDF5_PLUGIN_PATH': 'h5py_plugin_test'})
def test_default(request):
| 64 | 64 | 56 | 28 | 36 | Priyansh863/e-backend | Lib/site-packages/h5py/tests/test_h5pl.py | Python | test_default | test_default | 25 | 29 | 25 | 27 | a62d00b7007ce8d8e984182a1ca3e34619066f97 | bigcode/the-stack | train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.