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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
struct<content_hash: string, timestamp: string, source: string, line_count: int64, max_line_length: int64, avg_line_length: double, alnum_prop: double, repo_name: string, id: string, size: string, binary: bool, copies: string, ref: string, path: string, mode: string, license: string, language: list<item: struct<name: string, bytes: string>>, symlink_target: string>
to
{'content_hash': Value(dtype='string', id=None), 'timestamp': Value(dtype='string', id=None), 'source': Value(dtype='string', id=None), 'line_count': Value(dtype='int64', id=None), 'max_line_length': Value(dtype='int64', id=None), 'avg_line_length': Value(dtype='float64', id=None), 'alnum_prop': Value(dtype='float64', id=None), 'repo_name': Value(dtype='string', id=None), 'id': Value(dtype='string', id=None), 'size': Value(dtype='string', id=None), 'binary': Value(dtype='bool', id=None), 'copies': Value(dtype='string', id=None), 'ref': Value(dtype='string', id=None), 'path': Value(dtype='string', id=None), 'mode': Value(dtype='string', id=None), 'license': Value(dtype='string', id=None), 'language': [{'name': Value(dtype='string', id=None), 'bytes': Value(dtype='string', id=None)}]}
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in cast_table_to_schema
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in <listcomp>
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2122, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<content_hash: string, timestamp: string, source: string, line_count: int64, max_line_length: int64, avg_line_length: double, alnum_prop: double, repo_name: string, id: string, size: string, binary: bool, copies: string, ref: string, path: string, mode: string, license: string, language: list<item: struct<name: string, bytes: string>>, symlink_target: string>
to
{'content_hash': Value(dtype='string', id=None), 'timestamp': Value(dtype='string', id=None), 'source': Value(dtype='string', id=None), 'line_count': Value(dtype='int64', id=None), 'max_line_length': Value(dtype='int64', id=None), 'avg_line_length': Value(dtype='float64', id=None), 'alnum_prop': Value(dtype='float64', id=None), 'repo_name': Value(dtype='string', id=None), 'id': Value(dtype='string', id=None), 'size': Value(dtype='string', id=None), 'binary': Value(dtype='bool', id=None), 'copies': Value(dtype='string', id=None), 'ref': Value(dtype='string', id=None), 'path': Value(dtype='string', id=None), 'mode': Value(dtype='string', id=None), 'license': Value(dtype='string', id=None), 'language': [{'name': Value(dtype='string', id=None), 'bytes': Value(dtype='string', id=None)}]}
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1529, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1154, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2038, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
text
string | meta
dict |
|---|---|
TXTCOLOR_DEFAULT="\033[0;m"
TXTCOLOR_RED="\033[0;31m"
TXTCOLOR_GREEN="\033[0;32m"
COCOS2DX20_TRUNK=$HOME/etc/software/cocos2d-x-2.2.4
OUTPUT_DEBUG=$COCOS2DX20_TRUNK/lib/linux/debug/
OUTPUT_RELEASE=$COCOS2DX20_TRUNK/lib/linux/release/
check_make_result()
{
if [ 0 != $? ]; then
exit 1
fi
}
DEPENDS='libx11-dev'
DEPENDS+=' libxmu-dev'
DEPENDS+=' libglu1-mesa-dev'
DEPENDS+=' libgl2ps-dev'
DEPENDS+=' libxi-dev'
DEPENDS+=' libglfw-dev'
DEPENDS+=' g++'
DEPENDS+=' libzip-dev'
DEPENDS+=' libcurl4-gnutls-dev'
DEPENDS+=' libfontconfig1-dev'
DEPENDS+=' libsqlite3-dev'
DEPENDS+=' libglew-dev'
for i in $DEPENDS; do
PKG_OK=$(dpkg-query -W --showformat='${Status}\n' $i | grep "install ok installed")
echo Checking for $i: $PKG_OK
if [ "" == "$PKG_OK" ]; then
echo -e $TXTCOLOR_GREEN"No $i. Setting up $i, please enter your password:"$TXTCOLOR_DEFAULT
sudo apt-get --force-yes --yes install $i
fi
done
mkdir -p $OUTPUT_DEBUG
mkdir -p $OUTPUT_RELEASE
make -C $COCOS2DX20_TRUNK/external/Box2D/proj.linux DEBUG=1
check_make_result
make -C $COCOS2DX20_TRUNK/external/chipmunk/proj.linux DEBUG=1
check_make_result
make -C $COCOS2DX20_TRUNK/cocos2dx/proj.linux DEBUG=1
check_make_result
make -C $COCOS2DX20_TRUNK/CocosDenshion/proj.linux DEBUG=1
check_make_result
make -C $COCOS2DX20_TRUNK/extensions/proj.linux DEBUG=1
check_make_result
make DEBUG=1
check_make_result
|
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|
namespace inet {
namespace httptools {
Define_Module(HttpServer);
void HttpServer::initialize(int stage)
{
HttpServerBase::initialize(stage);
if (stage == INITSTAGE_LOCAL) {
numBroken = 0;
socketsOpened = 0;
WATCH(numBroken);
WATCH(socketsOpened);
}
else if (stage == INITSTAGE_APPLICATION_LAYER) {
EV_DEBUG << "Initializing server component (sockets version)" << endl;
int port = par("port");
TCPSocket listensocket;
listensocket.setOutputGate(gate("tcpOut"));
listensocket.setDataTransferMode(TCP_TRANSFER_OBJECT);
listensocket.bind(port);
listensocket.setCallbackObject(this);
listensocket.listen();
}
}
void HttpServer::finish()
{
HttpServerBase::finish();
EV_INFO << "Sockets opened: " << socketsOpened << endl;
EV_INFO << "Broken connections: " << numBroken << endl;
recordScalar("sock.opened", socketsOpened);
recordScalar("sock.broken", numBroken);
// Clean up sockets and data structures
sockCollection.deleteSockets();
}
void HttpServer::handleMessage(cMessage *msg)
{
if (msg->isSelfMessage()) {
// Self messages not used at the moment
}
else {
EV_DEBUG << "Handle inbound message " << msg->getName() << " of kind " << msg->getKind() << endl;
TCPSocket *socket = sockCollection.findSocketFor(msg);
if (!socket) {
EV_DEBUG << "No socket found for the message. Create a new one" << endl;
// new connection -- create new socket object and server process
socket = new TCPSocket(msg);
socket->setOutputGate(gate("tcpOut"));
socket->setDataTransferMode(TCP_TRANSFER_OBJECT);
socket->setCallbackObject(this, socket);
sockCollection.addSocket(socket);
}
EV_DEBUG << "Process the message " << msg->getName() << endl;
socket->processMessage(msg);
}
updateDisplay();
}
void HttpServer::socketEstablished(int connId, void *yourPtr)
{
EV_INFO << "connected socket with id=" << connId << endl;
socketsOpened++;
}
void HttpServer::socketDataArrived(int connId, void *yourPtr, cPacket *msg, bool urgent)
{
if (yourPtr == NULL) {
EV_ERROR << "Socket establish failure. Null pointer" << endl;
return;
}
TCPSocket *socket = (TCPSocket *)yourPtr;
// Should be a HttpReplyMessage
EV_DEBUG << "Socket data arrived on connection " << connId << ". Message=" << msg->getName() << ", kind=" << msg->getKind() << endl;
// call the message handler to process the message.
cMessage *reply = handleReceivedMessage(msg);
if (reply != NULL) {
socket->send(reply); // Send to socket if the reply is non-zero.
}
delete msg; // Delete the received message here. Must not be deleted in the handler!
}
void HttpServer::socketPeerClosed(int connId, void *yourPtr)
{
if (yourPtr == NULL) {
EV_ERROR << "Socket establish failure. Null pointer" << endl;
return;
}
TCPSocket *socket = (TCPSocket *)yourPtr;
// close the connection (if not already closed)
if (socket->getState() == TCPSocket::PEER_CLOSED) {
EV_INFO << "remote TCP closed, closing here as well. Connection id is " << connId << endl;
socket->close(); // Call the close method to properly dispose of the socket.
}
}
void HttpServer::socketClosed(int connId, void *yourPtr)
{
EV_INFO << "connection closed. Connection id " << connId << endl;
if (yourPtr == NULL) {
EV_ERROR << "Socket establish failure. Null pointer" << endl;
return;
}
// Cleanup
TCPSocket *socket = (TCPSocket *)yourPtr;
sockCollection.removeSocket(socket);
delete socket;
}
void HttpServer::socketFailure(int connId, void *yourPtr, int code)
{
EV_WARN << "connection broken. Connection id " << connId << endl;
numBroken++;
EV_INFO << "connection closed. Connection id " << connId << endl;
if (yourPtr == NULL) {
EV_ERROR << "Socket establish failure. Null pointer" << endl;
return;
}
TCPSocket *socket = (TCPSocket *)yourPtr;
if (code == TCP_I_CONNECTION_RESET)
EV_WARN << "Connection reset!\n";
else if (code == TCP_I_CONNECTION_REFUSED)
EV_WARN << "Connection refused!\n";
// Cleanup
sockCollection.removeSocket(socket);
delete socket;
}
} // namespace httptools
} // namespace inet
|
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"size": "5266",
"binary": false,
"copies": "1",
"ref": "refs/heads/master",
"path": "inet/src/inet/applications/httptools/server/HttpServer.cc",
"mode": "33188",
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"name": "Batchfile",
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{
"name": "Makefile",
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},
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"name": "Python",
"bytes": "158836"
},
{
"name": "R",
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{
"name": "Raku",
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{
"name": "Roff",
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{
"name": "Shell",
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{
"name": "Tcl",
"bytes": "18098"
},
{
"name": "XSLT",
"bytes": "14040"
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]
}
|
/* header 6 */
/* leading retained */
export default function usedNamedFunction () {
console.log( 'named' );
} // trailing retained
/* footer 6 */
|
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<manifest package="com.cyrillrx.templates" />
|
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"language": [
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"bytes": "39664"
},
{
"name": "Kotlin",
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}
]
}
|
{% from 'macros/helpers.html' import sprite %}
<!doctype html>
<html>
<head>
<meta charset="utf-8">
<title>{% block title %}Gulp Asset Pipeline{% endblock %}</title>
<link rel="stylesheet" href="stylesheets/global.css">
{% block head %}{% endblock %}
</head>
<body>
<h1>Gulp All The Things!</h1>
{% include "shared/page-nav.html" %}
{% block content %}{% endblock %}
<footer>
<p>Made with ♥ at <br><a href="http://viget.com">{{sprite('viget', '0 0 500 182')}}</a></p>
</footer>
<script src="javascripts/shared.js"></script>
{% block javascript %}{% endblock %}
</body>
</html>
|
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"source": "github",
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"alnum_prop": 0.6125827814569537,
"repo_name": "tinystride/gulp-starter",
"id": "f4d3d6ad500da3dff47c218d77134c35f6a313ca",
"size": "606",
"binary": false,
"copies": "16",
"ref": "refs/heads/master",
"path": "src/html/layouts/application.html",
"mode": "33188",
"license": "mit",
"language": [
{
"name": "CSS",
"bytes": "3490"
},
{
"name": "HTML",
"bytes": "2178"
},
{
"name": "JavaScript",
"bytes": "24038"
}
]
}
|
"""Utilities for probability distributions."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
import hashlib
import math
import numpy as np
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.framework import tensor_shape
from tensorflow.python.framework import tensor_util
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import check_ops
from tensorflow.python.ops import control_flow_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import nn
def assert_close(
x, y, data=None, summarize=None, message=None, name="assert_close"):
"""Assert that that x and y are within machine epsilon of each other.
Args:
x: Floating-point `Tensor`
y: Floating-point `Tensor`
data: The tensors to print out if the condition is `False`. Defaults to
error message and first few entries of `x` and `y`.
summarize: Print this many entries of each tensor.
message: A string to prefix to the default message.
name: A name for this operation (optional).
Returns:
Op raising `InvalidArgumentError` if |x - y| > machine epsilon.
"""
message = message or ""
x = ops.convert_to_tensor(x, name="x")
y = ops.convert_to_tensor(y, name="y")
if data is None:
data = [
message,
"Condition x ~= y did not hold element-wise: x = ", x.name, x, "y = ",
y.name, y
]
if x.dtype.is_integer:
return check_ops.assert_equal(
x, y, data=data, summarize=summarize, message=message, name=name)
with ops.name_scope(name, "assert_close", [x, y, data]):
tol = np.finfo(x.dtype.as_numpy_dtype).eps
condition = math_ops.reduce_all(math_ops.less_equal(math_ops.abs(x-y), tol))
return control_flow_ops.Assert(
condition, data, summarize=summarize)
def assert_integer_form(
x, data=None, summarize=None, message=None, name="assert_integer_form"):
"""Assert that x has integer components (or floats equal to integers).
Args:
x: Floating-point `Tensor`
data: The tensors to print out if the condition is `False`. Defaults to
error message and first few entries of `x` and `y`.
summarize: Print this many entries of each tensor.
message: A string to prefix to the default message.
name: A name for this operation (optional).
Returns:
Op raising `InvalidArgumentError` if round(x) != x.
"""
message = message or "x has non-integer components"
x = ops.convert_to_tensor(x, name="x")
casted_x = math_ops.to_int64(x)
return check_ops.assert_equal(
x, math_ops.cast(math_ops.round(casted_x), x.dtype),
data=data, summarize=summarize, message=message, name=name)
def assert_symmetric(matrix):
matrix_t = array_ops.matrix_transpose(matrix)
return control_flow_ops.with_dependencies(
[check_ops.assert_equal(matrix, matrix_t)], matrix)
def embed_check_nonnegative_discrete(x, check_integer=True):
"""Assert x is a non-negative tensor, and optionally of integers."""
assertions = [check_ops.assert_non_negative(
x, message="x must be non-negative.")]
if check_integer:
assertions += [assert_integer_form(
x, message="x cannot contain fractional components.")]
return control_flow_ops.with_dependencies(assertions, x)
def same_dynamic_shape(a, b):
"""Returns whether a and b have the same dynamic shape.
Args:
a: `Tensor`
b: `Tensor`
Returns:
`bool` `Tensor` representing if both tensors have the same shape.
"""
a = ops.convert_to_tensor(a, name="a")
b = ops.convert_to_tensor(b, name="b")
# Here we can't just do math_ops.equal(a.shape, b.shape), since
# static shape inference may break the equality comparison between
# shape(a) and shape(b) in math_ops.equal.
def all_shapes_equal():
return math_ops.reduce_all(math_ops.equal(
array_ops.concat([array_ops.shape(a), array_ops.shape(b)], 0),
array_ops.concat([array_ops.shape(b), array_ops.shape(a)], 0)))
# One of the shapes isn't fully defined, so we need to use the dynamic
# shape.
return control_flow_ops.cond(
math_ops.equal(array_ops.rank(a), array_ops.rank(b)),
all_shapes_equal,
lambda: constant_op.constant(False))
def get_logits_and_probs(logits=None,
probs=None,
multidimensional=False,
validate_args=False,
name="get_logits_and_probs"):
"""Converts logit to probabilities (or vice-versa), and returns both.
Args:
logits: Floating-point `Tensor` representing log-odds.
probs: Floating-point `Tensor` representing probabilities.
multidimensional: Python `bool`, default `False`.
If `True`, represents whether the last dimension of `logits` or `probs`,
a `[N1, N2, ... k]` dimensional tensor, representing the
logit or probability of `shape[-1]` classes.
validate_args: Python `bool`, default `False`. When `True`, either assert
`0 <= probs <= 1` (if not `multidimensional`) or that the last dimension
of `probs` sums to one.
name: A name for this operation (optional).
Returns:
logits, probs: Tuple of `Tensor`s. If `probs` has an entry that is `0` or
`1`, then the corresponding entry in the returned logit will be `-Inf` and
`Inf` respectively.
Raises:
ValueError: if neither `probs` nor `logits` were passed in, or both were.
"""
with ops.name_scope(name, values=[probs, logits]):
if (probs is None) == (logits is None):
raise ValueError("Must pass probs or logits, but not both.")
if probs is None:
logits = ops.convert_to_tensor(logits, name="logits")
if multidimensional:
return logits, nn.softmax(logits, name="probs")
return logits, math_ops.sigmoid(logits, name="probs")
probs = ops.convert_to_tensor(probs, name="probs")
if validate_args:
with ops.name_scope("validate_probs"):
one = constant_op.constant(1., probs.dtype)
dependencies = [check_ops.assert_non_negative(probs)]
if multidimensional:
dependencies += [assert_close(math_ops.reduce_sum(probs, -1), one,
message="probs does not sum to 1.")]
else:
dependencies += [check_ops.assert_less_equal(
probs, one, message="probs has components greater than 1.")]
probs = control_flow_ops.with_dependencies(dependencies, probs)
with ops.name_scope("logits"):
if multidimensional:
# Here we don't compute the multidimensional case, in a manner
# consistent with respect to the unidimensional case. We do so
# following the TF convention. Typically, you might expect to see
# logits = log(probs) - log(probs[pivot]). A side-effect of
# being consistent with the TF approach is that the unidimensional case
# implicitly handles the second dimension but the multidimensional case
# explicitly keeps the pivot dimension.
return math_ops.log(probs), probs
return math_ops.log(probs) - math_ops.log1p(-1. * probs), probs
def log_combinations(n, counts, name="log_combinations"):
"""Multinomial coefficient.
Given `n` and `counts`, where `counts` has last dimension `k`, we compute
the multinomial coefficient as:
```n! / sum_i n_i!```
where `i` runs over all `k` classes.
Args:
n: Floating-point `Tensor` broadcastable with `counts`. This represents `n`
outcomes.
counts: Floating-point `Tensor` broadcastable with `n`. This represents
counts in `k` classes, where `k` is the last dimension of the tensor.
name: A name for this operation (optional).
Returns:
`Tensor` representing the multinomial coefficient between `n` and `counts`.
"""
# First a bit about the number of ways counts could have come in:
# E.g. if counts = [1, 2], then this is 3 choose 2.
# In general, this is (sum counts)! / sum(counts!)
# The sum should be along the last dimension of counts. This is the
# "distribution" dimension. Here n a priori represents the sum of counts.
with ops.name_scope(name, values=[n, counts]):
n = ops.convert_to_tensor(n, name="n")
counts = ops.convert_to_tensor(counts, name="counts")
total_permutations = math_ops.lgamma(n + 1)
counts_factorial = math_ops.lgamma(counts + 1)
redundant_permutations = math_ops.reduce_sum(counts_factorial, axis=[-1])
return total_permutations - redundant_permutations
def matrix_diag_transform(matrix, transform=None, name=None):
"""Transform diagonal of [batch-]matrix, leave rest of matrix unchanged.
Create a trainable covariance defined by a Cholesky factor:
```python
# Transform network layer into 2 x 2 array.
matrix_values = tf.contrib.layers.fully_connected(activations, 4)
matrix = tf.reshape(matrix_values, (batch_size, 2, 2))
# Make the diagonal positive. If the upper triangle was zero, this would be a
# valid Cholesky factor.
chol = matrix_diag_transform(matrix, transform=tf.nn.softplus)
# OperatorPDCholesky ignores the upper triangle.
operator = OperatorPDCholesky(chol)
```
Example of heteroskedastic 2-D linear regression.
```python
# Get a trainable Cholesky factor.
matrix_values = tf.contrib.layers.fully_connected(activations, 4)
matrix = tf.reshape(matrix_values, (batch_size, 2, 2))
chol = matrix_diag_transform(matrix, transform=tf.nn.softplus)
# Get a trainable mean.
mu = tf.contrib.layers.fully_connected(activations, 2)
# This is a fully trainable multivariate normal!
dist = tf.contrib.distributions.MVNCholesky(mu, chol)
# Standard log loss. Minimizing this will "train" mu and chol, and then dist
# will be a distribution predicting labels as multivariate Gaussians.
loss = -1 * tf.reduce_mean(dist.log_prob(labels))
```
Args:
matrix: Rank `R` `Tensor`, `R >= 2`, where the last two dimensions are
equal.
transform: Element-wise function mapping `Tensors` to `Tensors`. To
be applied to the diagonal of `matrix`. If `None`, `matrix` is returned
unchanged. Defaults to `None`.
name: A name to give created ops.
Defaults to "matrix_diag_transform".
Returns:
A `Tensor` with same shape and `dtype` as `matrix`.
"""
with ops.name_scope(name, "matrix_diag_transform", [matrix]):
matrix = ops.convert_to_tensor(matrix, name="matrix")
if transform is None:
return matrix
# Replace the diag with transformed diag.
diag = array_ops.matrix_diag_part(matrix)
transformed_diag = transform(diag)
transformed_mat = array_ops.matrix_set_diag(matrix, transformed_diag)
return transformed_mat
def rotate_transpose(x, shift, name="rotate_transpose"):
"""Circularly moves dims left or right.
Effectively identical to:
```python
numpy.transpose(x, numpy.roll(numpy.arange(len(x.shape)), shift))
```
When `validate_args=False` additional graph-runtime checks are
performed. These checks entail moving data from to GPU to CPU.
Example:
```python
x = ... # Tensor of shape [1, 2, 3, 4].
rotate_transpose(x, -1) # result shape: [2, 3, 4, 1]
rotate_transpose(x, -2) # result shape: [3, 4, 1, 2]
rotate_transpose(x, 1) # result shape: [4, 1, 2, 3]
rotate_transpose(x, 2) # result shape: [3, 4, 1, 2]
rotate_transpose(x, 7) == rotate_transpose(x, 3)
rotate_transpose(x, -7) == rotate_transpose(x, -3)
```
Args:
x: `Tensor`.
shift: `Tensor`. Number of dimensions to transpose left (shift<0) or
transpose right (shift>0).
name: Python `str`. The name to give this op.
Returns:
rotated_x: Input `Tensor` with dimensions circularly rotated by shift.
Raises:
TypeError: if shift is not integer type.
"""
with ops.name_scope(name, values=[x, shift]):
x = ops.convert_to_tensor(x, name="x")
shift = ops.convert_to_tensor(shift, name="shift")
# We do not assign back to preserve constant-ness.
check_ops.assert_integer(shift)
shift_value_static = tensor_util.constant_value(shift)
ndims = x.get_shape().ndims
if ndims is not None and shift_value_static is not None:
if ndims < 2: return x
shift_value_static = np.sign(shift_value_static) * (
abs(shift_value_static) % ndims)
if shift_value_static == 0: return x
perm = np.roll(np.arange(ndims), shift_value_static)
return array_ops.transpose(x, perm=perm)
else:
# Consider if we always had a positive shift, and some specified
# direction.
# When shifting left we want the new array:
# last(x, n-shift) + first(x, shift)
# and if shifting right then we want:
# last(x, shift) + first(x, n-shift)
# Observe that last(a) == slice(a, n) and first(a) == slice(0, a).
# Also, we can encode direction and shift as one: direction * shift.
# Combining these facts, we have:
# a = cond(shift<0, -shift, n-shift)
# last(x, n-a) + first(x, a) == x[a:n] + x[0:a]
# Finally, we transform shift by modulo length so it can be specified
# independently from the array upon which it operates (like python).
ndims = array_ops.rank(x)
shift = array_ops.where(math_ops.less(shift, 0),
math_ops.mod(-shift, ndims),
ndims - math_ops.mod(shift, ndims))
first = math_ops.range(0, shift)
last = math_ops.range(shift, ndims)
perm = array_ops.concat([last, first], 0)
return array_ops.transpose(x, perm=perm)
def pick_vector(cond,
true_vector,
false_vector,
name="pick_vector"):
"""Picks possibly different length row `Tensor`s based on condition.
Value `Tensor`s should have exactly one dimension.
If `cond` is a python Boolean or `tf.constant` then either `true_vector` or
`false_vector` is immediately returned. I.e., no graph nodes are created and
no validation happens.
Args:
cond: `Tensor`. Must have `dtype=tf.bool` and be scalar.
true_vector: `Tensor` of one dimension. Returned when cond is `True`.
false_vector: `Tensor` of one dimension. Returned when cond is `False`.
name: Python `str`. The name to give this op.
Example:
```python
pick_vector(tf.less(0, 5), tf.range(10, 12), tf.range(15, 18))
# result is tensor: [10, 11].
pick_vector(tf.less(5, 0), tf.range(10, 12), tf.range(15, 18))
# result is tensor: [15, 16, 17].
```
Returns:
true_or_false_vector: `Tensor`.
Raises:
TypeError: if `cond.dtype != tf.bool`
TypeError: if `cond` is not a constant and
`true_vector.dtype != false_vector.dtype`
"""
with ops.name_scope(name, values=(cond, true_vector, false_vector)):
cond = ops.convert_to_tensor(cond, name="cond")
if cond.dtype != dtypes.bool:
raise TypeError("%s.dtype=%s which is not %s" %
(cond.name, cond.dtype, dtypes.bool))
cond_value_static = tensor_util.constant_value(cond)
if cond_value_static is not None:
return true_vector if cond_value_static else false_vector
true_vector = ops.convert_to_tensor(true_vector, name="true_vector")
false_vector = ops.convert_to_tensor(false_vector, name="false_vector")
if true_vector.dtype != false_vector.dtype:
raise TypeError(
"%s.dtype=%s does not match %s.dtype=%s"
% (true_vector.name, true_vector.dtype,
false_vector.name, false_vector.dtype))
n = array_ops.shape(true_vector)[0]
return array_ops.slice(
array_ops.concat([true_vector, false_vector], 0),
[array_ops.where(cond, 0, n)], [array_ops.where(cond, n, -1)])
def gen_new_seed(seed, salt):
"""Generate a new seed, from the given seed and salt."""
if seed is None:
return None
string = (str(seed) + salt).encode("utf-8")
return int(hashlib.md5(string).hexdigest()[:8], 16) & 0x7FFFFFFF
def fill_lower_triangular(x, validate_args=False, name="fill_lower_triangular"):
"""Creates a (batch of) lower triangular matrix from a vector of inputs.
If `x.get_shape()` is `[b1, b2, ..., bK, d]` then the output shape is `[b1,
b2, ..., bK, n, n]` where `n` is such that `d = n(n+1)/2`, i.e.,
`n = int(0.5 * (math.sqrt(1. + 8. * d) - 1.))`.
Although the non-batch complexity is O(n**2), large constants and sub-optimal
vectorization means the complexity of this function is 5x slower than zeroing
out the upper triangular, i.e., `tf.matrix_band_part(X, -1, 0)`. This
function becomes competitive only when several matmul/cholesky/etc ops can be
ellided in constructing the input. Example: wiring a fully connected layer as
a covariance matrix; this function reduces the final layer by 2x and possibly
reduces the network arch complexity considerably. In most cases it is better
to simply build a full matrix and zero out the upper triangular elements,
e.g., `tril = tf.matrix_band_part(full, -1, 0)`, rather than directly
construct a lower triangular.
Example:
```python
fill_lower_triangular([1, 2, 3, 4, 5, 6])
# Returns: [[1, 0, 0],
# [2, 3, 0],
# [4, 5, 6]]
```
For comparison, a pure numpy version of this function can be found in
`distribution_util_test.py`, function `_fill_lower_triangular`.
Args:
x: `Tensor` representing lower triangular elements.
validate_args: Python `bool`, default `False`. Whether to ensure the shape
of `x` can be mapped to a lower triangular matrix (controls non-static
checks only).
name: Python `str`. The name to give this op.
Returns:
tril: `Tensor` with lower triangular elements filled from `x`.
Raises:
ValueError: if shape if `x` has static shape which cannot be mapped to a
lower triangular matrix.
"""
# TODO(jvdillon): Replace this code with dedicated op when it exists.
with ops.name_scope(name, values=[x]):
x = ops.convert_to_tensor(x, name="x")
if (x.get_shape().ndims is not None and
x.get_shape()[-1].value is not None):
d = x.get_shape()[-1].value
# d = n(n+1)/2 implies n is:
n = int(0.5 * (math.sqrt(1. + 8. * d) - 1.))
d_inferred = n * (n + 1) /2
if d != d_inferred:
raise ValueError("Input cannot be mapped to a lower triangular; "
"n*(n+1)/2 = %d != %d" % (d_inferred, d))
final_shape = x.get_shape()[:-1].concatenate(
tensor_shape.TensorShape([n, n]))
else:
d = math_ops.cast(array_ops.shape(x)[-1], dtype=dtypes.float32)
# d = n(n+1)/2 implies n is:
n = math_ops.cast(0.5 * (dtypes.sqrt(1. + 8. * d) - 1.),
dtype=dtypes.int32)
if validate_args:
is_valid_input_shape = check_ops.assert_equal(
n * (n + 1) / 2, d,
message="Input cannot be mapped to a lower triangular.")
n = control_flow_ops.with_dependencies([is_valid_input_shape], n)
final_shape = x.get_shape()[:-1].concatenate(
tensor_shape.TensorShape([None, None]))
def tril_ids(n):
"""Internal helper to create vector of linear indices into y."""
# Build the ids statically; chose 512 because it implies 1MiB.
if not tensor_util.is_tensor(n) and n <= 512:
ids = np.arange(n**2, dtype=np.int32)
rows = (ids / n).astype(np.int32) # Implicit floor.
# We need to stop incrementing the index when we encounter
# upper-triangular elements. The idea here is to compute the
# lower-right number of zeros then by "symmetry" subtract this from the
# total number of zeros, n(n-1)/2.
# Then we note that: n(n-1)/2 - (n-r)*(n-r-1)/2 = r(2n-r-1)/2
offset = (rows * (2 * n - rows - 1) / 2).astype(np.int32)
# We could also zero out when (rows < cols) == (rows < ids-n*rows).
# mask = (ids <= (n + 1) * rows).astype(np.int32)
else:
ids = math_ops.range(n**2)
rows = math_ops.cast(ids / n, dtype=dtypes.int32)
offset = math_ops.cast(rows * (2 * n - rows - 1) / 2,
dtype=dtypes.int32)
return ids - offset
# Special-case non-batch case.
if x.get_shape().ndims == 1:
y = array_ops.gather(x, array_ops.reshape(tril_ids(n), [n, n]))
y = array_ops.matrix_band_part(y, -1, 0)
y.set_shape(y.get_shape().merge_with(final_shape))
return y
# Make ids for each batch dim.
if (x.get_shape().ndims is not None and
x.get_shape()[:-1].is_fully_defined()):
batch_shape = np.asarray(x.get_shape()[:-1].as_list(), dtype=np.int32)
m = np.prod(batch_shape).astype(np.int32)
else:
batch_shape = array_ops.shape(x)[:-1]
m = math_ops.reduce_prod(array_ops.shape(x)[:-1])
batch_ids = math_ops.range(m)
# Assemble the tril_ids into batch,tril_id pairs.
idx = array_ops.stack([
array_ops.tile(array_ops.expand_dims(batch_ids, 1), [1, n * n]),
array_ops.tile(array_ops.expand_dims(tril_ids(n), 0), [m, 1])
])
idx = array_ops.transpose(idx, [1, 2, 0])
# Gather up, reshape, and return.
y = array_ops.reshape(x, [-1, d])
y = array_ops.gather_nd(y, idx)
y = array_ops.reshape(y, array_ops.concat([batch_shape, [n, n]], 0))
y = array_ops.matrix_band_part(y, -1, 0)
y.set_shape(y.get_shape().merge_with(final_shape))
return y
# TODO(jvdillon): Merge this test back into:
# tensorflow/python/ops/softplus_op_test.py
# once TF core is accepting new ops.
def softplus_inverse(x, name=None):
"""Computes the inverse softplus, i.e., x = softplus_inverse(softplus(x)).
Mathematically this op is equivalent to:
```none
softplus_inverse = log(exp(x) - 1.)
```
Args:
x: `Tensor`. Non-negative (not enforced), floating-point.
name: A name for the operation (optional).
Returns:
`Tensor`. Has the same type/shape as input `x`.
"""
with ops.name_scope(name, "softplus_inverse", values=[x]):
x = ops.convert_to_tensor(x, name="x")
# We begin by deriving a more numerically stable softplus_inverse:
# x = softplus(y) = Log[1 + exp{y}], (which means x > 0).
# ==> exp{x} = 1 + exp{y} (1)
# ==> y = Log[exp{x} - 1] (2)
# = Log[(exp{x} - 1) / exp{x}] + Log[exp{x}]
# = Log[(1 - exp{-x}) / 1] + Log[exp{x}]
# = Log[1 - exp{-x}] + x (3)
# (2) is the "obvious" inverse, but (3) is more stable than (2) for large x.
# For small x (e.g. x = 1e-10), (3) will become -inf since 1 - exp{-x} will
# be zero. To fix this, we use 1 - exp{-x} approx x for small x > 0.
#
# In addition to the numerically stable derivation above, we clamp
# small/large values to be congruent with the logic in:
# tensorflow/core/kernels/softplus_op.h
#
# Finally, we set the input to one whenever the input is too large or too
# small. This ensures that no unchosen codepath is +/- inf. This is
# necessary to ensure the gradient doesn't get NaNs. Recall that the
# gradient of `where` behaves like `pred*pred_true + (1-pred)*pred_false`
# thus an `inf` in an unselected path results in `0*inf=nan`. We are careful
# to overwrite `x` with ones only when we will never actually use this
# value. Note that we use ones and not zeros since `log(expm1(0.)) = -inf`.
threshold = np.log(np.finfo(x.dtype.as_numpy_dtype).eps) + 2.
is_too_small = math_ops.less(x, np.exp(threshold))
is_too_large = math_ops.greater(x, -threshold)
too_small_value = math_ops.log(x)
too_large_value = x
# This `where` will ultimately be a NOP because we won't select this
# codepath whenever we used the surrogate `ones_like`.
x = array_ops.where(math_ops.logical_or(is_too_small, is_too_large),
array_ops.ones_like(x), x)
y = x + math_ops.log(-math_ops.expm1(-x)) # == log(expm1(x))
return array_ops.where(is_too_small, too_small_value,
array_ops.where(is_too_large, too_large_value, y))
# TODO(b/35290280): Add unit-tests.
def dimension_size(x, axis):
"""Returns the size of a specific dimension."""
# Since tf.gather isn't "constant-in, constant-out", we must first check the
# static shape or fallback to dynamic shape.
num_rows = (None if x.get_shape().ndims is None
else x.get_shape()[axis].value)
if num_rows is not None:
return num_rows
return array_ops.shape(x)[axis]
class AppendDocstring(object):
"""Helper class to promote private subclass docstring to public counterpart.
Example:
```python
class TransformedDistribution(Distribution):
@distribution_util.AppendDocstring(
additional_note="A special note!",
kwargs_dict={"foo": "An extra arg."})
def _prob(self, y, foo=None):
pass
```
In this case, the `AppendDocstring` decorator appends the `additional_note` to
the docstring of `prob` (not `_prob`) and adds a new `kwargs`
section with each dictionary item as a bullet-point.
For a more detailed example, see `TransformedDistribution`.
"""
def __init__(self, additional_note="", kwargs_dict=None):
"""Initializes the AppendDocstring object.
Args:
additional_note: Python string added as additional docstring to public
version of function.
kwargs_dict: Python string/string dictionary representing
specific kwargs expanded from the **kwargs input.
Raises:
ValueError: if kwargs_dict.key contains whitespace.
ValueError: if kwargs_dict.value contains newlines.
"""
self._additional_note = additional_note
if kwargs_dict:
bullets = []
for key in sorted(kwargs_dict.keys()):
value = kwargs_dict[key]
if any(x.isspace() for x in key):
raise ValueError(
"Parameter name \"%s\" contains whitespace." % key)
value = value.lstrip()
if "\n" in value:
raise ValueError(
"Parameter description for \"%s\" contains newlines." % key)
bullets.append("* `%s`: %s" % (key, value))
self._additional_note += ("\n\n##### `kwargs`:\n\n" +
"\n".join(bullets))
def __call__(self, fn):
@functools.wraps(fn)
def _fn(*args, **kwargs):
return fn(*args, **kwargs)
if _fn.__doc__ is None:
_fn.__doc__ = self._additional_note
else:
_fn.__doc__ += "\n%s" % self._additional_note
return _fn
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**Actual results**
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<?php
error_reporting(E_STRICT | E_ALL);
// You can set the include path to src directory or reference
// DfpUser.php directly via require_once.
// $path = '/path/to/dfp_api_php_lib/src';
$path = dirname(__FILE__) . '/../../../../src';
set_include_path(get_include_path() . PATH_SEPARATOR . $path);
require_once 'Google/Api/Ads/Dfp/Lib/DfpUser.php';
require_once 'Google/Api/Ads/Dfp/Util/v201408/StatementBuilder.php';
require_once dirname(__FILE__) . '/../../../Common/ExampleUtils.php';
try {
// Get DfpUser from credentials in "../auth.ini"
// relative to the DfpUser.php file's directory.
$user = new DfpUser();
// Log SOAP XML request and response.
$user->LogDefaults();
// Get the OrderService.
$orderService = $user->GetService('OrderService', 'v201408');
// Create a statement to select only orders that are starting soon.
$statementBuilder = new StatementBuilder();
$statementBuilder->Where(
'status = :status AND startDateTime >= :now AND startDateTime <= :soon')
->OrderBy('id ASC')
->Limit(StatementBuilder::SUGGESTED_PAGE_LIMIT)
->WithBindVariableValue('status', 'APPROVED')
->WithBindVariableValue(
'now',
date(DateTimeUtils::$DFP_DATE_TIME_STRING_FORMAT,
strtotime('now'))
)
->WithBindVariableValue(
'soon',
date(DateTimeUtils::$DFP_DATE_TIME_STRING_FORMAT,
strtotime('5 day'))
);
// Default for total result set size.
$totalResultSetSize = 0;
do {
// Get orders by statement.
$page = $orderService->getOrdersByStatement(
$statementBuilder->ToStatement());
// Display results.
if (isset($page->results)) {
$totalResultSetSize = $page->totalResultSetSize;
$i = $page->startIndex;
foreach ($page->results as $order) {
printf("%d) Order with ID %d, name '%s', and advertiser ID %d was "
. "found.\n", $i++, $order->id, $order->name, $order->advertiserId);
}
}
$statementBuilder->IncreaseOffsetBy(StatementBuilder::SUGGESTED_PAGE_LIMIT);
} while ($statementBuilder->GetOffset() < $totalResultSetSize);
printf("Number of results found: %d\n", $totalResultSetSize);
} catch (OAuth2Exception $e) {
ExampleUtils::CheckForOAuth2Errors($e);
} catch (ValidationException $e) {
ExampleUtils::CheckForOAuth2Errors($e);
} catch (Exception $e) {
printf("%s\n", $e->getMessage());
}
|
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{
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{
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]
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|
<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML//EN">
<html>
<head>
<script src="../../resources/js-test.js"></script>
</head>
<body>
<p id="description"></p>
<div id="console"></div>
<script src="resources/ie-test-pre.js"></script>
<script src="TestCases/15.2.3.3-4-70.js"></script>
<script src="resources/ie-test-post.js"></script>
</body>
</html>
|
{
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"name": "Batchfile",
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"bytes": "41933223"
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"name": "GLSL",
"bytes": "11578"
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"name": "Groff",
"bytes": "28067"
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"name": "Makefile",
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"name": "Python",
"bytes": "3855349"
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"name": "Ruby",
"bytes": "141818"
},
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"name": "Shell",
"bytes": "8888"
},
{
"name": "XSLT",
"bytes": "49099"
},
{
"name": "Yacc",
"bytes": "64128"
}
]
}
|
<ion-view>
<ion-content style="background-color: deepskyblue;">
<div class="list">
<!--<ion-md-input placeholder="Username" ng-model="vm.user" highlight-color="balanced" type="text" ng-click='vm.createUesr()'></ion-md-input>-->
<form novalidate name="form">
<ion-md-input placeholder="Email" ng-model="vm.email" highlight-color="balanced" type="email" ng-click='vm.createUser()' ng-minlength="10" name="email" ng-required="true"></ion-md-input>
<ion-md-input placeholder="Password" highlight-color="energized" ng-model="vm.password" type="password" ng-click='vm.createUser()' ng-minlength="5" name="password" ng-required="true"></ion-md-input>
</form>
</div>
<button id="createUser" class="button button-small button-border icon-left ion-email button-100" ng-click='vm.createUser()' ng-disabled='form.email.$invalid || form.password.$invalid ' ui-sref="app.splash">Create User</button>
<!--<button class="button button-small button-border icon-left ion-email button-100" ng-click='vm.authWithPassword()'>Login by Email</button>-->
</ion-content>
</ion-view>
|
{
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"source": "github",
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"max_line_length": 234,
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"alnum_prop": 0.6618025751072961,
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"id": "465ad41e6a6dbe472d2e2562b026549a200ed2b5",
"size": "1165",
"binary": false,
"copies": "1",
"ref": "refs/heads/master",
"path": "app/www/templates/registerEmail.html",
"mode": "33188",
"license": "mit",
"language": [
{
"name": "CSS",
"bytes": "3736747"
},
{
"name": "HTML",
"bytes": "124695"
},
{
"name": "JavaScript",
"bytes": "18637535"
}
]
}
|
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
<!-- NewPage -->
<html lang="ja">
<head>
<!-- Generated by javadoc (1.8.0_20) on Tue Aug 25 07:27:06 JST 2015 -->
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>クラス階層</title>
<meta name="date" content="2015-08-25">
<link rel="stylesheet" type="text/css" href="stylesheet.css" title="Style">
<script type="text/javascript" src="script.js"></script>
</head>
<body>
<script type="text/javascript"><!--
try {
if (location.href.indexOf('is-external=true') == -1) {
parent.document.title="\u30AF\u30E9\u30B9\u968E\u5C64";
}
}
catch(err) {
}
//-->
</script>
<noscript>
<div>ブラウザのJavaScriptが無効になっています。</div>
</noscript>
<!-- ========= START OF TOP NAVBAR ======= -->
<div class="topNav"><a name="navbar.top">
<!-- -->
</a>
<div class="skipNav"><a href="#skip.navbar.top" title="ナビゲーション・リンクをスキップ">ナビゲーション・リンクをスキップ</a></div>
<a name="navbar.top.firstrow">
<!-- -->
</a>
<ul class="navList" title="ナビゲーション">
<li><a href="canal/package-summary.html">パッケージ</a></li>
<li>クラス</li>
<li>使用</li>
<li class="navBarCell1Rev">階層ツリー</li>
<li><a href="deprecated-list.html">非推奨</a></li>
<li><a href="index-files/index-1.html">索引</a></li>
<li><a href="help-doc.html">ヘルプ</a></li>
</ul>
</div>
<div class="subNav">
<ul class="navList">
<li>前</li>
<li>次</li>
</ul>
<ul class="navList">
<li><a href="index.html?overview-tree.html" target="_top">フレーム</a></li>
<li><a href="overview-tree.html" target="_top">フレームなし</a></li>
</ul>
<ul class="navList" id="allclasses_navbar_top">
<li><a href="allclasses-noframe.html">すべてのクラス</a></li>
</ul>
<div>
<script type="text/javascript"><!--
allClassesLink = document.getElementById("allclasses_navbar_top");
if(window==top) {
allClassesLink.style.display = "block";
}
else {
allClassesLink.style.display = "none";
}
//-->
</script>
</div>
<a name="skip.navbar.top">
<!-- -->
</a></div>
<!-- ========= END OF TOP NAVBAR ========= -->
<div class="header">
<h1 class="title">すべてのパッケージの階層</h1>
<span class="packageHierarchyLabel">パッケージ階層:</span>
<ul class="horizontal">
<li><a href="canal/package-tree.html">canal</a></li>
</ul>
</div>
<div class="contentContainer">
<h2 title="クラス階層">クラス階層</h2>
<ul>
<li type="circle">java.lang.Object
<ul>
<li type="circle">javafx.application.Application
<ul>
<li type="circle">canal.<a href="canal/Main.html" title="canal内のクラス"><span class="typeNameLink">Main</span></a></li>
</ul>
</li>
<li type="circle">canal.<a href="canal/Configuration.html" title="canal内のクラス"><span class="typeNameLink">Configuration</span></a></li>
<li type="circle">canal.<a href="canal/ExpeditionLine.html" title="canal内のクラス"><span class="typeNameLink">ExpeditionLine</span></a></li>
<li type="circle">canal.<a href="canal/ExpeditionLineDrawer.html" title="canal内のクラス"><span class="typeNameLink">ExpeditionLineDrawer</span></a></li>
<li type="circle">canal.<a href="canal/Field.html" title="canal内のクラス"><span class="typeNameLink">Field</span></a></li>
<li type="circle">canal.<a href="canal/GameContext.html" title="canal内のクラス"><span class="typeNameLink">GameContext</span></a></li>
<li type="circle">canal.<a href="canal/Level.html" title="canal内のクラス"><span class="typeNameLink">Level</span></a></li>
<li type="circle">canal.<a href="canal/Levels.html" title="canal内のクラス"><span class="typeNameLink">Levels</span></a></li>
<li type="circle">javafx.scene.Node (implements javafx.event.EventTarget, javafx.css.Styleable)
<ul>
<li type="circle">javafx.scene.Parent
<ul>
<li type="circle">javafx.scene.layout.Region
<ul>
<li type="circle">javafx.scene.layout.Pane
<ul>
<li type="circle">canal.<a href="canal/Screen.html" title="canal内のクラス"><span class="typeNameLink">Screen</span></a>
<ul>
<li type="circle">canal.<a href="canal/GameScreen.html" title="canal内のクラス"><span class="typeNameLink">GameScreen</span></a></li>
<li type="circle">canal.<a href="canal/ResultScreen.html" title="canal内のクラス"><span class="typeNameLink">ResultScreen</span></a></li>
<li type="circle">canal.<a href="canal/TitleScreen.html" title="canal内のクラス"><span class="typeNameLink">TitleScreen</span></a></li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
<li type="circle">canal.<a href="canal/Point.html" title="canal内のクラス"><span class="typeNameLink">Point</span></a></li>
<li type="circle">canal.<a href="canal/Region.html" title="canal内のクラス"><span class="typeNameLink">Region</span></a></li>
<li type="circle">canal.<a href="canal/Sprite.html" title="canal内のクラス"><span class="typeNameLink">Sprite</span></a>
<ul>
<li type="circle">canal.<a href="canal/Enemy.html" title="canal内のクラス"><span class="typeNameLink">Enemy</span></a>
<ul>
<li type="circle">canal.<a href="canal/BigPentagonEnemy.html" title="canal内のクラス"><span class="typeNameLink">BigPentagonEnemy</span></a></li>
<li type="circle">canal.<a href="canal/BigSquareEnemy.html" title="canal内のクラス"><span class="typeNameLink">BigSquareEnemy</span></a></li>
<li type="circle">canal.<a href="canal/BigTriangleEnemy.html" title="canal内のクラス"><span class="typeNameLink">BigTriangleEnemy</span></a></li>
<li type="circle">canal.<a href="canal/SquareEnemy.html" title="canal内のクラス"><span class="typeNameLink">SquareEnemy</span></a></li>
<li type="circle">canal.<a href="canal/TriangleEnemy.html" title="canal内のクラス"><span class="typeNameLink">TriangleEnemy</span></a></li>
</ul>
</li>
<li type="circle">canal.<a href="canal/Player.html" title="canal内のクラス"><span class="typeNameLink">Player</span></a></li>
</ul>
</li>
<li type="circle">canal.<a href="canal/SpriteDrawer.html" title="canal内のクラス"><span class="typeNameLink">SpriteDrawer</span></a>
<ul>
<li type="circle">canal.<a href="canal/BigPentagonEnemyDrawer.html" title="canal内のクラス"><span class="typeNameLink">BigPentagonEnemyDrawer</span></a></li>
<li type="circle">canal.<a href="canal/BigSquareEnemyDrawer.html" title="canal内のクラス"><span class="typeNameLink">BigSquareEnemyDrawer</span></a></li>
<li type="circle">canal.<a href="canal/BigTriangleEnemyDrawer.html" title="canal内のクラス"><span class="typeNameLink">BigTriangleEnemyDrawer</span></a></li>
<li type="circle">canal.<a href="canal/PlayerDrawer.html" title="canal内のクラス"><span class="typeNameLink">PlayerDrawer</span></a></li>
<li type="circle">canal.<a href="canal/SquareEnemyDrawer.html" title="canal内のクラス"><span class="typeNameLink">SquareEnemyDrawer</span></a></li>
<li type="circle">canal.<a href="canal/TriangleEnemyDrawer.html" title="canal内のクラス"><span class="typeNameLink">TriangleEnemyDrawer</span></a></li>
</ul>
</li>
<li type="circle">canal.<a href="canal/Territory.html" title="canal内のクラス"><span class="typeNameLink">Territory</span></a></li>
<li type="circle">canal.<a href="canal/TerritoryDrawer.html" title="canal内のクラス"><span class="typeNameLink">TerritoryDrawer</span></a></li>
</ul>
</li>
</ul>
<h2 title="列挙型階層">列挙型階層</h2>
<ul>
<li type="circle">java.lang.Object
<ul>
<li type="circle">java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
<ul>
<li type="circle">canal.<a href="canal/Territory.State.html" title="canal内の列挙型"><span class="typeNameLink">Territory.State</span></a></li>
<li type="circle">canal.<a href="canal/GameContext.State.html" title="canal内の列挙型"><span class="typeNameLink">GameContext.State</span></a></li>
<li type="circle">canal.<a href="canal/Direction.html" title="canal内の列挙型"><span class="typeNameLink">Direction</span></a></li>
</ul>
</li>
</ul>
</li>
</ul>
</div>
<!-- ======= START OF BOTTOM NAVBAR ====== -->
<div class="bottomNav"><a name="navbar.bottom">
<!-- -->
</a>
<div class="skipNav"><a href="#skip.navbar.bottom" title="ナビゲーション・リンクをスキップ">ナビゲーション・リンクをスキップ</a></div>
<a name="navbar.bottom.firstrow">
<!-- -->
</a>
<ul class="navList" title="ナビゲーション">
<li><a href="canal/package-summary.html">パッケージ</a></li>
<li>クラス</li>
<li>使用</li>
<li class="navBarCell1Rev">階層ツリー</li>
<li><a href="deprecated-list.html">非推奨</a></li>
<li><a href="index-files/index-1.html">索引</a></li>
<li><a href="help-doc.html">ヘルプ</a></li>
</ul>
</div>
<div class="subNav">
<ul class="navList">
<li>前</li>
<li>次</li>
</ul>
<ul class="navList">
<li><a href="index.html?overview-tree.html" target="_top">フレーム</a></li>
<li><a href="overview-tree.html" target="_top">フレームなし</a></li>
</ul>
<ul class="navList" id="allclasses_navbar_bottom">
<li><a href="allclasses-noframe.html">すべてのクラス</a></li>
</ul>
<div>
<script type="text/javascript"><!--
allClassesLink = document.getElementById("allclasses_navbar_bottom");
if(window==top) {
allClassesLink.style.display = "block";
}
else {
allClassesLink.style.display = "none";
}
//-->
</script>
</div>
<a name="skip.navbar.bottom">
<!-- -->
</a></div>
<!-- ======== END OF BOTTOM NAVBAR ======= -->
</body>
</html>
|
{
"content_hash": "a6a62d0c268428bda2801a5e59e0c5c7",
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"size": "9587",
"binary": false,
"copies": "1",
"ref": "refs/heads/master",
"path": "doc/overview-tree.html",
"mode": "33188",
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{
"name": "Java",
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}
|
module Fog
module Compute
class RackspaceV2
class Real
# Retrieves single metadatum item by key.
# @param [String<images, servers>] collection type of metadata
# @param [String] obj_id id of the object where the metadata is attached
# @param [String] key the key of the metadata to retrieve
# @return [Excon::Response] response:
# * body [Hash]:
# * meta [Hash]:
# @raise [Fog::Compute::RackspaceV2::NotFound] - HTTP 404
# @raise [Fog::Compute::RackspaceV2::BadRequest] - HTTP 400
# @raise [Fog::Compute::RackspaceV2::InternalServerError] - HTTP 500
# @raise [Fog::Compute::RackspaceV2::ServiceError]
# @see http://docs.rackspace.com/servers/api/v2/cs-devguide/content/Get_Metadata_Item-d1e5507.html
def get_metadata_item(collection, obj_id, key)
request(
:expects => 200,
:method => 'GET',
:path => "#{collection}/#{obj_id}/metadata/#{key}"
)
end
end
class Mock
def get_metadata_item(collection, obj_id, key)
raise Fog::Compute::RackspaceV2::NotFound if obj_id == 0
response = Excon::Response.new
response.status = 202
response.body = {"meta" => {"environment" => "dev"}}
response
end
end
end
end
end
|
{
"content_hash": "73b3d7d29f814cf3d44930ffa0c9edba",
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"line_count": 38,
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"alnum_prop": 0.5797101449275363,
"repo_name": "ralzate/Aerosanidad-Correciones",
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"size": "1380",
"binary": false,
"copies": "64",
"ref": "refs/heads/master",
"path": "vendor/bundle/ruby/2.1.0/gems/fog-1.35.0/lib/fog/rackspace/requests/compute_v2/get_metadata_item.rb",
"mode": "33188",
"license": "mit",
"language": [
{
"name": "CSS",
"bytes": "6750"
},
{
"name": "CoffeeScript",
"bytes": "3898"
},
{
"name": "HTML",
"bytes": "394687"
},
{
"name": "JavaScript",
"bytes": "14915"
},
{
"name": "Ruby",
"bytes": "2300529"
}
]
}
|
from ctypes import *
from ctypes.util import find_library
from os import path
import sys
__all__ = ['libsvm', 'svm_problem', 'svm_parameter',
'toPyModel', 'gen_svm_nodearray', 'print_null', 'svm_node', 'C_SVC',
'EPSILON_SVR', 'LINEAR', 'NU_SVC', 'NU_SVR', 'ONE_CLASS',
'POLY', 'PRECOMPUTED', 'PRINT_STRING_FUN', 'RBF',
'SIGMOID', 'c_double', 'svm_model']
try:
dirname = path.dirname(path.abspath(__file__))
if sys.platform == 'win32':
libsvm = CDLL(path.join(dirname, r'..\windows\libsvm.dll'))
else:
libsvm = CDLL(path.join(dirname, '../libsvm.so.2'))
except:
# For unix the prefix 'lib' is not considered.
if find_library('svm'):
libsvm = CDLL(find_library('svm'))
elif find_library('libsvm'):
libsvm = CDLL(find_library('libsvm'))
else:
raise Exception('LIBSVM library not found.')
C_SVC = 0
NU_SVC = 1
ONE_CLASS = 2
EPSILON_SVR = 3
NU_SVR = 4
LINEAR = 0
POLY = 1
RBF = 2
SIGMOID = 3
PRECOMPUTED = 4
PRINT_STRING_FUN = CFUNCTYPE(None, c_char_p)
def print_null(s):
return
def genFields(names, types):
return list(zip(names, types))
def fillprototype(f, restype, argtypes):
f.restype = restype
f.argtypes = argtypes
class svm_node(Structure):
_names = ["index", "value"]
_types = [c_int, c_double]
_fields_ = genFields(_names, _types)
def __str__(self):
return '%d:%g' % (self.index, self.value)
def gen_svm_nodearray(xi, feature_max=None, isKernel=None):
if isinstance(xi, dict):
index_range = xi.keys()
elif isinstance(xi, (list, tuple)):
if not isKernel:
xi = [0] + xi # idx should start from 1
index_range = range(len(xi))
else:
raise TypeError('xi should be a dictionary, list or tuple')
if feature_max:
assert(isinstance(feature_max, int))
index_range = filter(lambda j: j <= feature_max, index_range)
if not isKernel:
index_range = filter(lambda j:xi[j] != 0, index_range)
index_range = sorted(index_range)
ret = (svm_node * (len(index_range)+1))()
ret[-1].index = -1
for idx, j in enumerate(index_range):
ret[idx].index = j
ret[idx].value = xi[j]
max_idx = 0
if index_range:
max_idx = index_range[-1]
return ret, max_idx
class svm_problem(Structure):
_names = ["l", "y", "x"]
_types = [c_int, POINTER(c_double), POINTER(POINTER(svm_node))]
_fields_ = genFields(_names, _types)
def __init__(self, y, x, isKernel=None):
if len(y) != len(x):
raise ValueError("len(y) != len(x)")
self.l = l = len(y)
max_idx = 0
x_space = self.x_space = []
for i, xi in enumerate(x):
tmp_xi, tmp_idx = gen_svm_nodearray(xi,isKernel=isKernel)
x_space += [tmp_xi]
max_idx = max(max_idx, tmp_idx)
self.n = max_idx
self.y = (c_double * l)()
for i, yi in enumerate(y): self.y[i] = yi
self.x = (POINTER(svm_node) * l)()
for i, xi in enumerate(self.x_space): self.x[i] = xi
class svm_parameter(Structure):
_names = ["svm_type", "kernel_type", "degree", "gamma", "coef0",
"cache_size", "eps", "C", "nr_weight", "weight_label", "weight",
"nu", "p", "shrinking", "probability"]
_types = [c_int, c_int, c_int, c_double, c_double,
c_double, c_double, c_double, c_int, POINTER(c_int), POINTER(c_double),
c_double, c_double, c_int, c_int]
_fields_ = genFields(_names, _types)
def __init__(self, options = None):
if options == None:
options = ''
self.parse_options(options)
def __str__(self):
s = ''
attrs = svm_parameter._names + list(self.__dict__.keys())
values = map(lambda attr: getattr(self, attr), attrs)
for attr, val in zip(attrs, values):
s += (' %s: %s\n' % (attr, val))
s = s.strip()
return s
def set_to_default_values(self):
self.svm_type = C_SVC;
self.kernel_type = RBF
self.degree = 3
self.gamma = 0
self.coef0 = 0
self.nu = 0.5
self.cache_size = 100
self.C = 1
self.eps = 0.001
self.p = 0.1
self.shrinking = 1
self.probability = 0
self.nr_weight = 0
self.weight_label = (c_int*0)()
self.weight = (c_double*0)()
self.cross_validation = False
self.nr_fold = 0
self.print_func = cast(None, PRINT_STRING_FUN)
def parse_options(self, options):
if isinstance(options, list):
argv = options
elif isinstance(options, str):
argv = options.split()
else:
raise TypeError("arg 1 should be a list or a str.")
self.set_to_default_values()
self.print_func = cast(None, PRINT_STRING_FUN)
weight_label = []
weight = []
i = 0
while i < len(argv):
if argv[i] == "-s":
i = i + 1
self.svm_type = int(argv[i])
elif argv[i] == "-t":
i = i + 1
self.kernel_type = int(argv[i])
elif argv[i] == "-d":
i = i + 1
self.degree = int(argv[i])
elif argv[i] == "-g":
i = i + 1
self.gamma = float(argv[i])
elif argv[i] == "-r":
i = i + 1
self.coef0 = float(argv[i])
elif argv[i] == "-n":
i = i + 1
self.nu = float(argv[i])
elif argv[i] == "-m":
i = i + 1
self.cache_size = float(argv[i])
elif argv[i] == "-c":
i = i + 1
self.C = float(argv[i])
elif argv[i] == "-e":
i = i + 1
self.eps = float(argv[i])
elif argv[i] == "-p":
i = i + 1
self.p = float(argv[i])
elif argv[i] == "-h":
i = i + 1
self.shrinking = int(argv[i])
elif argv[i] == "-b":
i = i + 1
self.probability = int(argv[i])
elif argv[i] == "-q":
self.print_func = PRINT_STRING_FUN(print_null)
elif argv[i] == "-v":
i = i + 1
self.cross_validation = 1
self.nr_fold = int(argv[i])
if self.nr_fold < 2:
raise ValueError("n-fold cross validation: n must >= 2")
elif argv[i].startswith("-w"):
i = i + 1
self.nr_weight += 1
nr_weight = self.nr_weight
weight_label += [int(argv[i-1][2:])]
weight += [float(argv[i])]
else:
raise ValueError("Wrong options")
i += 1
libsvm.svm_set_print_string_function(self.print_func)
self.weight_label = (c_int*self.nr_weight)()
self.weight = (c_double*self.nr_weight)()
for i in range(self.nr_weight):
self.weight[i] = weight[i]
self.weight_label[i] = weight_label[i]
class svm_model(Structure):
_names = ['param', 'nr_class', 'l', 'SV', 'sv_coef', 'rho',
'probA', 'probB', 'sv_indices', 'label', 'nSV', 'free_sv']
_types = [svm_parameter, c_int, c_int, POINTER(POINTER(svm_node)),
POINTER(POINTER(c_double)), POINTER(c_double),
POINTER(c_double), POINTER(c_double), POINTER(c_int),
POINTER(c_int), POINTER(c_int), c_int]
_fields_ = genFields(_names, _types)
def __init__(self):
self.__createfrom__ = 'python'
def __del__(self):
# free memory created by C to avoid memory leak
if hasattr(self, '__createfrom__') and self.__createfrom__ == 'C':
libsvm.svm_free_and_destroy_model(pointer(self))
def get_svm_type(self):
return libsvm.svm_get_svm_type(self)
def get_nr_class(self):
return libsvm.svm_get_nr_class(self)
def get_svr_probability(self):
return libsvm.svm_get_svr_probability(self)
def get_labels(self):
nr_class = self.get_nr_class()
labels = (c_int * nr_class)()
libsvm.svm_get_labels(self, labels)
return labels[:nr_class]
def get_sv_indices(self):
total_sv = self.get_nr_sv()
sv_indices = (c_int * total_sv)()
libsvm.svm_get_sv_indices(self, sv_indices)
return sv_indices[:total_sv]
def get_nr_sv(self):
return libsvm.svm_get_nr_sv(self)
def is_probability_model(self):
return (libsvm.svm_check_probability_model(self) == 1)
def get_sv_coef(self):
return [tuple(self.sv_coef[j][i] for j in xrange(self.nr_class - 1))
for i in xrange(self.l)]
def get_SV(self):
result = []
for sparse_sv in self.SV[:self.l]:
row = dict()
i = 0
while True:
row[sparse_sv[i].index] = sparse_sv[i].value
if sparse_sv[i].index == -1:
break
i += 1
result.append(row)
return result
def toPyModel(model_ptr):
"""
toPyModel(model_ptr) -> svm_model
Convert a ctypes POINTER(svm_model) to a Python svm_model
"""
if bool(model_ptr) == False:
raise ValueError("Null pointer")
m = model_ptr.contents
m.__createfrom__ = 'C'
return m
fillprototype(libsvm.svm_train, POINTER(svm_model), [POINTER(svm_problem), POINTER(svm_parameter)])
fillprototype(libsvm.svm_cross_validation, None, [POINTER(svm_problem), POINTER(svm_parameter), c_int, POINTER(c_double)])
fillprototype(libsvm.svm_save_model, c_int, [c_char_p, POINTER(svm_model)])
fillprototype(libsvm.svm_load_model, POINTER(svm_model), [c_char_p])
fillprototype(libsvm.svm_get_svm_type, c_int, [POINTER(svm_model)])
fillprototype(libsvm.svm_get_nr_class, c_int, [POINTER(svm_model)])
fillprototype(libsvm.svm_get_labels, None, [POINTER(svm_model), POINTER(c_int)])
fillprototype(libsvm.svm_get_sv_indices, None, [POINTER(svm_model), POINTER(c_int)])
fillprototype(libsvm.svm_get_nr_sv, c_int, [POINTER(svm_model)])
fillprototype(libsvm.svm_get_svr_probability, c_double, [POINTER(svm_model)])
fillprototype(libsvm.svm_predict_values, c_double, [POINTER(svm_model), POINTER(svm_node), POINTER(c_double)])
fillprototype(libsvm.svm_predict, c_double, [POINTER(svm_model), POINTER(svm_node)])
fillprototype(libsvm.svm_predict_probability, c_double, [POINTER(svm_model), POINTER(svm_node), POINTER(c_double)])
fillprototype(libsvm.svm_free_model_content, None, [POINTER(svm_model)])
fillprototype(libsvm.svm_free_and_destroy_model, None, [POINTER(POINTER(svm_model))])
fillprototype(libsvm.svm_destroy_param, None, [POINTER(svm_parameter)])
fillprototype(libsvm.svm_check_parameter, c_char_p, [POINTER(svm_problem), POINTER(svm_parameter)])
fillprototype(libsvm.svm_check_probability_model, c_int, [POINTER(svm_model)])
fillprototype(libsvm.svm_set_print_string_function, None, [PRINT_STRING_FUN])
|
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package org.jetbrains.plugins.ipnb;
import com.intellij.psi.PsiFile;
import com.jetbrains.python.inspections.PyDocstringInspection;
import com.jetbrains.python.inspections.PyStatementEffectInspection;
import com.jetbrains.python.inspections.PythonVisitorFilter;
import org.jetbrains.annotations.NotNull;
public class IpnbVisitorFilter implements PythonVisitorFilter {
@Override
public boolean isSupported(@NotNull final Class visitorClass, @NotNull final PsiFile file) {
if (visitorClass == PyDocstringInspection.class || visitorClass == PyStatementEffectInspection.class) {
return false;
}
return true;
}
}
|
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using System;
using System.Collections.Generic;
using System.IO;
namespace MongoDB.Bson.IO
{
/// <summary>
/// Represents a factory for IBsonBuffers.
/// </summary>
public static class ByteBufferFactory
{
/// <summary>
/// Creates a buffer of the specified length. Depending on the length, either a SingleChunkBuffer or a MultiChunkBuffer will be created.
/// </summary>
/// <param name="chunkPool">The chunk pool.</param>
/// <param name="length">The length.</param>
/// <returns>A buffer.</returns>
public static IByteBuffer Create(BsonChunkPool chunkPool, int length)
{
if (chunkPool == null)
{
throw new ArgumentNullException("pool");
}
if (length <= 0)
{
throw new ArgumentOutOfRangeException("length");
}
if (length < chunkPool.ChunkSize)
{
var chunk = chunkPool.AcquireChunk();
return new SingleChunkBuffer(chunk, 0, length, false);
}
else
{
var chunksNeeded = ((length - 1) / chunkPool.ChunkSize) + 1;
var chunks = new List<BsonChunk>(chunksNeeded);
for (int i = 0; i < chunksNeeded; i++)
{
chunks.Add(chunkPool.AcquireChunk());
}
return new MultiChunkBuffer(chunks, 0, length, false);
}
}
/// <summary>
/// Loads a byte buffer from a stream (the first 4 bytes in the stream are the length of the data).
/// Depending on the required capacity, either a SingleChunkBuffer or a MultiChunkBuffer will be created.
/// </summary>
/// <param name="stream">The stream.</param>
/// <returns>A buffer.</returns>
/// <exception cref="System.ArgumentNullException">stream</exception>
public static IByteBuffer LoadLengthPrefixedDataFrom(Stream stream)
{
if (stream == null)
{
throw new ArgumentNullException("stream");
}
var streamReader = new BsonStreamReader(stream, Utf8Helper.StrictUtf8Encoding);
var length = streamReader.ReadInt32();
var byteBuffer = Create(BsonChunkPool.Default, length);
byteBuffer.Length = length;
byteBuffer.WriteBytes(0, BitConverter.GetBytes(length), 0, 4);
byteBuffer.LoadFrom(stream, 4, length - 4);
byteBuffer.MakeReadOnly();
return byteBuffer;
}
}
}
|
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from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import unittest
import ray
import subprocess
import sys
import tempfile
import time
class MultiNodeTest(unittest.TestCase):
def setUp(self):
# Start the Ray processes on this machine.
out = subprocess.check_output(
["ray", "start", "--head"]).decode("ascii")
# Get the redis address from the output.
redis_substring_prefix = "redis_address=\""
redis_address_location = (out.find(redis_substring_prefix) +
len(redis_substring_prefix))
redis_address = out[redis_address_location:]
self.redis_address = redis_address.split("\"")[0]
def tearDown(self):
# Kill the Ray cluster.
subprocess.Popen(["ray", "stop"]).wait()
def testErrorIsolation(self):
# Connect a driver to the Ray cluster.
ray.init(redis_address=self.redis_address, driver_mode=ray.SILENT_MODE)
# There shouldn't be any errors yet.
self.assertEqual(len(ray.error_info()), 0)
error_string1 = "error_string1"
error_string2 = "error_string2"
@ray.remote
def f():
raise Exception(error_string1)
# Run a remote function that throws an error.
with self.assertRaises(Exception):
ray.get(f.remote())
# Wait for the error to appear in Redis.
while len(ray.error_info()) != 1:
time.sleep(0.1)
print("Waiting for error to appear.")
# Make sure we got the error.
self.assertEqual(len(ray.error_info()), 1)
self.assertIn(error_string1,
ray.error_info()[0][b"message"].decode("ascii"))
# Start another driver and make sure that it does not receive this
# error. Make the other driver throw an error, and make sure it
# receives that error.
driver_script = """
import ray
import time
ray.init(redis_address="{}")
time.sleep(1)
assert len(ray.error_info()) == 0
@ray.remote
def f():
raise Exception("{}")
try:
ray.get(f.remote())
except Exception as e:
pass
while len(ray.error_info()) != 1:
print(len(ray.error_info()))
time.sleep(0.1)
assert len(ray.error_info()) == 1
assert "{}" in ray.error_info()[0][b"message"].decode("ascii")
print("success")
""".format(self.redis_address, error_string2, error_string2)
# Save the driver script as a file so we can call it using subprocess.
with tempfile.NamedTemporaryFile() as f:
f.write(driver_script.encode("ascii"))
f.flush()
out = subprocess.check_output([sys.executable,
f.name]).decode("ascii")
# Make sure the other driver succeeded.
self.assertIn("success", out)
# Make sure that the other error message doesn't show up for this
# driver.
self.assertEqual(len(ray.error_info()), 1)
self.assertIn(error_string1,
ray.error_info()[0][b"message"].decode("ascii"))
ray.worker.cleanup()
def testRemoteFunctionIsolation(self):
# This test will run multiple remote functions with the same names in
# two different drivers. Connect a driver to the Ray cluster.
ray.init(redis_address=self.redis_address, driver_mode=ray.SILENT_MODE)
# Start another driver and make sure that it can define and call its
# own commands with the same names.
driver_script = """
import ray
import time
ray.init(redis_address="{}")
@ray.remote
def f():
return 3
@ray.remote
def g(x, y):
return 4
for _ in range(10000):
result = ray.get([f.remote(), g.remote(0, 0)])
assert result == [3, 4]
print("success")
""".format(self.redis_address)
# Save the driver script as a file so we can call it using subprocess.
with tempfile.NamedTemporaryFile() as f:
f.write(driver_script.encode("ascii"))
f.flush()
out = subprocess.check_output([sys.executable,
f.name]).decode("ascii")
@ray.remote
def f():
return 1
@ray.remote
def g(x):
return 2
for _ in range(10000):
result = ray.get([f.remote(), g.remote(0)])
self.assertEqual(result, [1, 2])
# Make sure the other driver succeeded.
self.assertIn("success", out)
ray.worker.cleanup()
class StartRayScriptTest(unittest.TestCase):
def testCallingStartRayHead(self):
# Test that we can call start-ray.sh with various command line
# parameters. TODO(rkn): This test only tests the --head code path. We
# should also test the non-head node code path.
# Test starting Ray with no arguments.
subprocess.check_output(["ray", "start", "--head"]).decode("ascii")
subprocess.Popen(["ray", "stop"]).wait()
# Test starting Ray with a number of workers specified.
subprocess.check_output(["ray", "start", "--head", "--num-workers",
"20"])
subprocess.Popen(["ray", "stop"]).wait()
# Test starting Ray with a redis port specified.
subprocess.check_output(["ray", "start", "--head",
"--redis-port", "6379"])
subprocess.Popen(["ray", "stop"]).wait()
# Test starting Ray with a node IP address specified.
subprocess.check_output(["ray", "start", "--head",
"--node-ip-address", "127.0.0.1"])
subprocess.Popen(["ray", "stop"]).wait()
# Test starting Ray with an object manager port specified.
subprocess.check_output(["ray", "start", "--head",
"--object-manager-port", "12345"])
subprocess.Popen(["ray", "stop"]).wait()
# Test starting Ray with the number of CPUs specified.
subprocess.check_output(["ray", "start", "--head",
"--num-cpus", "100"])
subprocess.Popen(["ray", "stop"]).wait()
# Test starting Ray with the number of GPUs specified.
subprocess.check_output(["ray", "start", "--head",
"--num-gpus", "100"])
subprocess.Popen(["ray", "stop"]).wait()
# Test starting Ray with all arguments specified.
subprocess.check_output(["ray", "start", "--head",
"--num-workers", "20",
"--redis-port", "6379",
"--object-manager-port", "12345",
"--num-cpus", "100",
"--num-gpus", "0"])
subprocess.Popen(["ray", "stop"]).wait()
# Test starting Ray with invalid arguments.
with self.assertRaises(Exception):
subprocess.check_output(["ray", "start", "--head",
"--redis-address", "127.0.0.1:6379"])
subprocess.Popen(["ray", "stop"]).wait()
if __name__ == "__main__":
unittest.main(verbosity=2)
|
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|
<?xml version='1.0' encoding='utf-8'?>
<!-- This is a sample XML file displayed when the user hasn't specified any quotes. -->
<Quotes>
<Quote>
<Text>He asked me if I knew what time it was. I said, "Yes, but not right now."</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I've been doing a lot of abstract painting lately, extremely abstract. No brush, no paint, no canvas, I just think about it.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>You can't have everything. Where would you put it?</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>When I die, I'm leaving my body to science fiction.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I went to this restaurant last night that was set up like a big buffet in the shape of an Ouija board. You'd think about what kind of food you want, and the table would move across the floor to it.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I went to a general store. They wouldn't let me buy anything specifically.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I went down the street to the 24-hour grocery. When I got there, the guy was locking the front door. I said, "Hey, the sign says you're open 24 hours." He said, "Yes, but not in a row."</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>When I go shopping, I love to freak out salespeople. They ask me if they can help me and I say, "Have you got anything I'd like?" Then they ask me what size I need and I say, "Extra medium."</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I went to the hardware store and bought some used paint. It was in the shape of a house. I also bought some batteries, but they weren't included so I had to buy them again.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I bought my brother some gift-wrap for Christmas. I took it to the Gift Wrap Department and told them to wrap it, but in a different print so he would know when to stop unwrapping.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>Friday, I was in a bookstore and I started talking to a French-looking girl. She was a bilingual illiterate —she couldn't read in two different languages.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>Last week I bought a new phone. I took it out of the box, hooked it up to the wall. Pressed redial. The phone had a nervous breakdown.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I bought a self-learning record to learn Spanish. I turned it on and went to sleep; the record got stuck. The next day I could only stutter in Spanish.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I went down to the store and bought some blank cassette tapes. When I got home I put one in my cassette deck and turned it up full blast. I was walking around my house when I heard a knock on my door. It was my neighbor complaining about the noise. He's a mime.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I'm writing a book. I've got the page numbers done, so now I just have to fill in the rest.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I'm writing an unauthorized autobiography.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I just got out of the hospital. I was in a speed reading accident —I crashed into a bookmark.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I have a decaffeinated coffee table. You'd never know it to look at it.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>One time a cop pulled me over for running a stop sign.
He said, "Didn't you see the stop sign?"
I said, "Yeah, but I don't believe everything I read."</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>There's a fine line between fishing and standing on the shore looking like an idiot.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>A friend of mine is into Voodoo Acupuncture. You don't have to go. You'll just be walking down the street, and...Ooooohhhhhh, that feels better...</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I hate it when my foot falls asleep during the day because that means it's going to be up all night.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>When I woke up this morning my girlfriend asked me, "Did you sleep well?"
I said, "No, I made a few mistakes."</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I was once arrested for walking in someone else's sleep.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>Some people are afraid of heights. Not me, I'm afraid of widths.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>Last year I went fishing with Salvador Dali. He was using a dotted line. He caught every other fish.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>When I was a little kid we had a sand box. It was a quicksand box. I was an only child. Eventually.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I don't know how she did it but my girlfriend got poison ivy on her brain and the only way she can scratch it is if she thinks about sandpaper.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>After they make styrofoam, what do they ship it in?</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I saw a subliminal advertising executive, but only for a second.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I have two very rare photographs. One is a picture of Houdini locking his keys in his car. The other is a photograph of Norman Rockwell beating up a child.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I stayed up all night playing poker with Tarot cards. I got a full house and four people died.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>George is a radio announcer, and when he walks under a bridge, you can't hear him talk.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I had some eyeglasses. I was walking down the street when suddenly the prescription ran out.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>When my kid turned two I was really anxious, because he'd doubled his age in a year. I thought, if this keeps up, by the time he's six he'll be ninety.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I had fried octopus last night. You have to be really quiet when you eat it, otherwise it emits a cloud of black smoke and falls on the floor.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>You know how it is when you go to be the subject of a psychology experiment and nobody else shows up and you think maybe that's part of the experiment? I'm like that all the time.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>A metaphor is like a simile.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>Every day, the hummingbird eats its own weight in food. You may wonder how it weighs the food. It doesn't —it just eats another hummingbird.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I listen to the police band on my CB radio. Once I dialed 911 and dedicated a crime to my girlfriend.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
<Quote>
<Text>I daydreamed that I was falling and just before I hit the ground, I fell asleep.</Text>
<Attribution>Steven Wright</Attribution>
</Quote>
</Quotes>
|
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