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Code Issues Releases Wiki Activity

PHP tags cleanup

This commit is contained in:
Maxim.Kolmakov 2020-03-19 14:47:56 +01:00
parent f840edac15
commit d9eea53167
22 changed files with 67 additions and 336 deletions
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1
Core/Core_c.php
View File

@ -569,7 +569,6 @@ final class Closure {
/**
* This method is a static version of Closure::bindTo().
* See the documentation of that method for more information.
* @static
* @link https://secure.php.net/manual/en/closure.bind.php
* @param Closure $closure The anonymous functions to bind.
* @param object $newthis The object to which the given anonymous function should be bound, or NULL for the closure to be unbound.

10
SimpleXML/SimpleXML.php
View File

@ -23,7 +23,7 @@ class SimpleXMLElement implements Traversable, ArrayAccess, Countable {
/**
* Provides access to element's children
* @access private Method not callable directly, stub exists for typehint only
* private Method not callable directly, stub exists for typehint only
* @param string $name child name
* @return SimpleXMLElement
*/
@ -214,7 +214,7 @@ class SimpleXMLElement implements Traversable, ArrayAccess, Countable {
/**
* Class provides access to children by position, and attributes by name
* @access private Method not callable directly, stub exists for typehint only
* private Method not callable directly, stub exists for typehint only
* @param string|int $offset
* @return bool true on success or false on failure.
*/
@ -222,7 +222,7 @@ class SimpleXMLElement implements Traversable, ArrayAccess, Countable {
/**
* Class provides access to children by position, and attributes by name
* @access private Method not callable directly, stub exists for typehint only
* private Method not callable directly, stub exists for typehint only
* @param string|int $offset
* @return SimpleXMLElement Either a named attribute or an element from a list of children
*/
@ -230,7 +230,7 @@ class SimpleXMLElement implements Traversable, ArrayAccess, Countable {
/**
* Class provides access to children by position, and attributes by name
* @access private Method not callable directly, stub exists for typehint only
* private Method not callable directly, stub exists for typehint only
* @param string|int $offset
* @param mixed $value
* @return void
@ -239,7 +239,7 @@ class SimpleXMLElement implements Traversable, ArrayAccess, Countable {
/**
* Class provides access to children by position, and attributes by name
* @access private Method not callable directly, stub exists for typehint only
* private Method not callable directly, stub exists for typehint only
* @param string|int $offset
* @return void
*/

32
cassandra/cassandra.php
View File

@ -4189,7 +4189,7 @@ namespace Cassandra {
/**
* Initialize a Collection type
* @code{.php}
* ```php
* <?php
* use Type;
*
@ -4197,7 +4197,7 @@ namespace Cassandra {
* ->create(1, 2, 3, 4, 5, 6, 7, 8, 9);
*
* var_dump($collection);
* @endcode
* ```
*
* @param \Cassandra\Type $type The type of values
*
@ -4210,7 +4210,7 @@ namespace Cassandra {
/**
* Initialize a set type
* @code{.php}
* ```
* <?php
* use Type;
*
@ -4218,7 +4218,7 @@ namespace Cassandra {
* ->create("a", "b", "c", "d", "e", "f", "g", "h", "i", "j");
*
* var_dump($set);
* @endcode
* ```
*
* @param \Cassandra\Type $type The types of values
*
@ -4231,15 +4231,13 @@ namespace Cassandra {
/**
* Initialize a map type
* @code{.php}
* <?php
* ```<?php
* use Type;
*
* $map = Type::map(Type::int(), Type::varchar())
* ->create(1, "a", 2, "b", 3, "c", 4, "d", 5, "e", 6, "f")
*
* var_dump($map);
* @endcode
* var_dump($map);```
*
* @param \Cassandra\Type $keyType The type of keys
* @param \Cassandra\Type $valueType The type of values
@ -4253,15 +4251,13 @@ namespace Cassandra {
/**
* Initialize a tuple type
* @code{.php}
* <?php
* ```<?php
* use Type;
*
* $tuple = Type::tuple(Type::varchar(), Type::int())
* ->create("a", 123);
*
* var_dump($tuple);
* @endcode
* var_dump($tuple);```
*
* @param \Cassandra\Type $types A variadic list of types
*
@ -4274,15 +4270,13 @@ namespace Cassandra {
/**
* Initialize a user type
* @code{.php}
* <?php
* ```<?php
* use Type;
*
* $userType = Type::userType("a", Type::varchar(), "b", Type::int())
* ->create("a", "abc", "b", 123);
*
* var_dump($userType);
* @endcode
* var_dump($userType);```
*
* @param \Cassandra\Type $types A variadic list of name/type pairs
*
@ -7043,8 +7037,7 @@ namespace Cassandra\Type {
/**
* Creates a new Map from the given values.
*
* @code{.php}
* <?php
* ```<?php
* use Type;
* use Uuid;
*
@ -7053,8 +7046,7 @@ namespace Cassandra\Type {
* new Uuid(), 'second uuid',
* new Uuid(), 'third uuid');
*
* var_dump($map);
* @endcode
* var_dump($map);```
*
*
* is a key and each even value is a value for the

2
couchbase/couchbase.php
View File

@ -2004,7 +2004,7 @@ namespace Couchbase {
* Controls the profiling mode used during query execution
*
* @param string $profileType
* @returns N1qlQuery
* @return N1qlQuery
* @see \Couchbase\N1qlQuery::PROFILE_NONE
* @see \Couchbase\N1qlQuery::PROFILE_PHASES
* @see \Couchbase\N1qlQuery::PROFILE_TIMINGS

142
fann/fann.php
View File

@ -64,7 +64,6 @@ class FANNConnection
/**
* Trains on an entire dataset, for a period of time using the Cascade2 training algorithm
*
* @stub
*
* @param resource $ann
* @param resource $data
@ -81,7 +80,6 @@ function fann_cascadetrain_on_data($ann, $data, $max_neurons, $neurons_between_r
/**
* Trains on an entire dataset read from file, for a period of time using the Cascade2 training algorithm.
*
* @stub
*
* @param resource $ann
* @param string $filename
@ -98,7 +96,6 @@ function fann_cascadetrain_on_file($ann, $filename, $max_neurons, $neurons_betwe
/**
* Clears scaling parameters
*
* @stub
*
* @param resource $ann
*
@ -111,7 +108,6 @@ function fann_clear_scaling_params($ann)
/**
* Creates a copy of a fann structure
*
* @stub
*
* @param resource $ann
*
@ -124,7 +120,6 @@ function fann_copy($ann)
/**
* Constructs a backpropagation neural network from a configuration file
*
* @stub
*
* @param string $configuration_file
*
@ -137,7 +132,6 @@ function fann_create_from_file($configuration_file)
/**
* Creates a standard backpropagation neural network which is not fully connectected and has shortcut connections
*
* @stub
*
* @param int $num_layers
* @param array $layers
@ -152,7 +146,6 @@ function fann_create_shortcut_array($num_layers, $layers)
* Creates a standard backpropagation neural network which is not fully connectected and has shortcut connections
*
* @stub-variable-parameters
* @stub
*
* @param int $num_layers
* @param int $num_neurons1
@ -168,7 +161,6 @@ function fann_create_shortcut($num_layers, $num_neurons1, $num_neurons2, $_ = NU
/**
* Creates a standard backpropagation neural network, which is not fully connected using an array of layer sizes
*
* @stub
*
* @param float $connection_rate
* @param int $num_layers
@ -184,7 +176,6 @@ function fann_create_sparse_array($connection_rate, $num_layers, $layers)
* Creates a standard backpropagation neural network, which is not fully connected
*
* @stub-variable-parameters
* @stub
*
* @param float $connection_rate
* @param int $num_layers
@ -201,7 +192,6 @@ function fann_create_sparse($connection_rate, $num_layers, $num_neurons1, $num_n
/**
* Creates a standard fully connected backpropagation neural network using an array of layer sizes
*
* @stub
*
* @param int $num_layers
* @param array $layers
@ -215,8 +205,6 @@ function fann_create_standard_array($num_layers, $layers)
/**
* Creates a standard fully connected backpropagation neural network
*
* @stub-variable-parameters
* @stub
*
* @param int $num_layers
* @param int $num_neurons1
@ -232,7 +220,6 @@ function fann_create_standard($num_layers, $num_neurons1, $num_neurons2, $_ = NU
/**
* Creates the training data struct from a user supplied function
*
* @stub
*
* @param int $num_data
* @param int $num_input
@ -248,7 +235,6 @@ function fann_create_train_from_callback($num_data, $num_input, $num_output, $us
/**
* Creates an empty training data struct
*
* @stub
*
* @param int $num_data
* @param int $num_input
@ -263,7 +249,6 @@ function fann_create_train($num_data, $num_input, $num_output)
/**
* Scale data in input vector after get it from ann based on previously calculated parameters
*
* @stub
*
* @param resource $ann
* @param array $input_vector
@ -277,7 +262,6 @@ function fann_descale_input($ann, $input_vector)
/**
* Scale data in output vector after get it from ann based on previously calculated parameters
*
* @stub
*
* @param resource $ann
* @param array $output_vector
@ -291,7 +275,6 @@ function fann_descale_output($ann, $output_vector)
/**
* Descale input and output data based on previously calculated parameters
*
* @stub
*
* @param resource $ann
* @param resource $train_data
@ -305,7 +288,6 @@ function fann_descale_train($ann, $train_data)
/**
* Destroys the entire network and properly freeing all the associated memory
*
* @stub
*
* @param resource $ann
*
@ -318,7 +300,6 @@ function fann_destroy($ann)
/**
* Destructs the training data
*
* @stub
*
* @param resource $train_data
*
@ -331,7 +312,6 @@ function fann_destroy_train($train_data)
/**
* Returns an exact copy of a fann train data
*
* @stub
*
* @param resource $data
*
@ -344,7 +324,6 @@ function fann_duplicate_train_data($data)
/**
* Returns the activation function
*
* @stub
*
* @param resource $ann
* @param int $layer
@ -359,7 +338,6 @@ function fann_get_activation_function($ann, $layer, $neuron)
/**
* Returns the activation steepness for supplied neuron and layer number
*
* @stub
*
* @param resource $ann
* @param int $layer
@ -374,7 +352,6 @@ function fann_get_activation_steepness($ann, $layer, $neuron)
/**
* Get the number of bias in each layer in the network
*
* @stub
*
* @param resource $ann
*
@ -387,7 +364,6 @@ function fann_get_bias_array($ann)
/**
* Returns the bit fail limit used during training
*
* @stub
*
* @param resource $ann
*
@ -400,7 +376,6 @@ function fann_get_bit_fail_limit($ann)
/**
* The number of fail bits
*
* @stub
*
* @param resource $ann
*
@ -413,7 +388,6 @@ function fann_get_bit_fail($ann)
/**
* Returns the number of cascade activation functions
*
* @stub
*
* @param resource $ann
*
@ -426,7 +400,6 @@ function fann_get_cascade_activation_functions_count($ann)
/**
* Returns the cascade activation functions
*
* @stub
*
* @param resource $ann
*
@ -439,7 +412,6 @@ function fann_get_cascade_activation_functions($ann)
/**
* The number of activation steepnesses
*
* @stub
*
* @param resource $ann
*
@ -452,7 +424,6 @@ function fann_get_cascade_activation_steepnesses_count($ann)
/**
* Returns the cascade activation steepnesses
*
* @stub
*
* @param resource $ann
*
@ -465,7 +436,6 @@ function fann_get_cascade_activation_steepnesses($ann)
/**
* Returns the cascade candidate change fraction
*
* @stub
*
* @param resource $ann
*
@ -478,7 +448,6 @@ function fann_get_cascade_candidate_change_fraction($ann)
/**
* Return the candidate limit
*
* @stub
*
* @param resource $ann
*
@ -491,7 +460,6 @@ function fann_get_cascade_candidate_limit($ann)
/**
* Returns the number of cascade candidate stagnation epochs
*
* @stub
*
* @param resource $ann
*
@ -504,7 +472,6 @@ function fann_get_cascade_candidate_stagnation_epochs($ann)
/**
* Returns the maximum candidate epochs
*
* @stub
*
* @param resource $ann
*
@ -517,7 +484,6 @@ function fann_get_cascade_max_cand_epochs($ann)
/**
* Returns the maximum out epochs
*
* @stub
*
* @param resource $ann
*
@ -530,7 +496,6 @@ function fann_get_cascade_max_out_epochs($ann)
/**
* Returns the minimum candidate epochs
*
* @stub
*
* @param resource $ann
*
@ -543,7 +508,6 @@ function fann_get_cascade_min_cand_epochs($ann)
/**
* Returns the minimum out epochs
*
* @stub
*
* @param resource $ann
*
@ -556,7 +520,6 @@ function fann_get_cascade_min_out_epochs($ann)
/**
* Returns the number of candidate groups
*
* @stub
*
* @param resource $ann
*
@ -569,7 +532,6 @@ function fann_get_cascade_num_candidate_groups($ann)
/**
* Returns the number of candidates used during training
*
* @stub
*
* @param resource $ann
*
@ -582,7 +544,6 @@ function fann_get_cascade_num_candidates($ann)
/**
* Returns the cascade output change fraction
*
* @stub
*
* @param resource $ann
*
@ -595,7 +556,6 @@ function fann_get_cascade_output_change_fraction($ann)
/**
* Returns the number of cascade output stagnation epochs
*
* @stub
*
* @param resource $ann
*
@ -608,7 +568,6 @@ function fann_get_cascade_output_stagnation_epochs($ann)
/**
* Returns the weight multiplier
*
* @stub
*
* @param resource $ann
*
@ -621,7 +580,6 @@ function fann_get_cascade_weight_multiplier($ann)
/**
* Get connections in the network
*
* @stub
*
* @param resource $ann
*
@ -634,7 +592,6 @@ function fann_get_connection_array($ann)
/**
* Get the connection rate used when the network was created
*
* @stub
*
* @param resource $ann
*
@ -647,7 +604,6 @@ function fann_get_connection_rate($ann)
/**
* Returns the last error number
*
* @stub
*
* @param resource $errdat
*
@ -660,7 +616,6 @@ function fann_get_errno($errdat)
/**
* Returns the last errstr
*
* @stub
*
* @param resource $errdat
*
@ -673,7 +628,6 @@ function fann_get_errstr($errdat)
/**
* Get the number of neurons in each layer in the network
*
* @stub
*
* @param resource $ann
*
@ -686,7 +640,6 @@ function fann_get_layer_array($ann)
/**
* Returns the learning momentum
*
* @stub
*
* @param resource $ann
*
@ -699,7 +652,6 @@ function fann_get_learning_momentum($ann)
/**
* Returns the learning rate
*
* @stub
*
* @param resource $ann
*
@ -712,7 +664,6 @@ function fann_get_learning_rate($ann)
/**
* Reads the mean square error from the network
*
* @stub
*
* @param resource $ann
*
@ -725,7 +676,6 @@ function fann_get_MSE($ann)
/**
* Get the type of neural network it was created as
*
* @stub
*
* @param resource $ann
*
@ -738,7 +688,6 @@ function fann_get_network_type($ann)
/**
* Get the number of input neurons
*
* @stub
*
* @param resource $ann
*
@ -751,7 +700,6 @@ function fann_get_num_input($ann)
/**
* Get the number of layers in the neural network
*
* @stub
*
* @param resource $ann
*
@ -764,7 +712,6 @@ function fann_get_num_layers($ann)
/**
* Get the number of output neurons
*
* @stub
*
* @param resource $ann
*
@ -777,7 +724,6 @@ function fann_get_num_output($ann)
/**
* Returns the decay which is a factor that weights should decrease in each iteration during quickprop training
*
* @stub
*
* @param resource $ann
*
@ -790,7 +736,6 @@ function fann_get_quickprop_decay($ann)
/**
* Returns the mu factor
*
* @stub
*
* @param resource $ann
*
@ -803,7 +748,6 @@ function fann_get_quickprop_mu($ann)
/**
* Returns the increase factor used during RPROP training
*
* @stub
*
* @param resource $ann
*
@ -816,7 +760,6 @@ function fann_get_rprop_decrease_factor($ann)
/**
* Returns the maximum step-size
*
* @stub
*
* @param resource $ann
*
@ -829,7 +772,6 @@ function fann_get_rprop_delta_max($ann)
/**
* Returns the minimum step-size
*
* @stub
*
* @param resource $ann
*
@ -842,7 +784,6 @@ function fann_get_rprop_delta_min($ann)
/**
* Returns the initial step-size
*
* @stub
*
* @param resource $ann
*
@ -855,7 +796,6 @@ function fann_get_rprop_delta_zero($ann)
/**
* Returns the increase factor used during RPROP training
*
* @stub
*
* @param resource $ann
*
@ -868,7 +808,6 @@ function fann_get_rprop_increase_factor($ann)
/**
* Returns the sarprop step error shift
*
* @stub
*
* @param resource $ann
*
@ -881,7 +820,6 @@ function fann_get_sarprop_step_error_shift($ann)
/**
* Returns the sarprop step error threshold factor
*
* @stub
*
* @param resource $ann
*
@ -894,7 +832,6 @@ function fann_get_sarprop_step_error_threshold_factor($ann)
/**
* Returns the sarprop temperature
*
* @stub
*
* @param resource $ann
*
@ -907,7 +844,6 @@ function fann_get_sarprop_temperature($ann)
/**
* Returns the sarprop weight decay shift
*
* @stub
*
* @param resource $ann
*
@ -920,7 +856,6 @@ function fann_get_sarprop_weight_decay_shift($ann)
/**
* Get the total number of connections in the entire network
*
* @stub
*
* @param resource $ann
*
@ -933,7 +868,6 @@ function fann_get_total_connections($ann)
/**
* Get the total number of neurons in the entire network
*
* @stub
*
* @param resource $ann
*
@ -946,7 +880,6 @@ function fann_get_total_neurons($ann)
/**
* Returns the error function used during training
*
* @stub
*
* @param resource $ann
*
@ -959,7 +892,6 @@ function fann_get_train_error_function($ann)
/**
* Returns the training algorithm
*
* @stub
*
* @param resource $ann
*
@ -972,7 +904,6 @@ function fann_get_training_algorithm($ann)
/**
* Returns the stop function used during training
*
* @stub
*
* @param resource $ann
*
@ -985,7 +916,6 @@ function fann_get_train_stop_function($ann)
/**
* Initialize the weights using Widrow + Nguyen’s algorithm
*
* @stub
*
* @param resource $ann
* @param resource $train_data
@ -999,7 +929,6 @@ function fann_init_weights($ann, $train_data)
/**
* Returns the number of training patterns in the train data
*
* @stub
*
* @param resource $data
*
@ -1012,7 +941,6 @@ function fann_length_train_data($data)
/**
* Merges the train data
*
* @stub
*
* @param resource $data1
* @param resource $data2
@ -1026,7 +954,6 @@ function fann_merge_train_data($data1, $data2)
/**
* Returns the number of inputs in each of the training patterns in the train data
*
* @stub
*
* @param resource $data
*
@ -1039,7 +966,6 @@ function fann_num_input_train_data($data)
/**
* Returns the number of outputs in each of the training patterns in the train data
*
* @stub
*
* @param resource $data
*
@ -1052,7 +978,6 @@ function fann_num_output_train_data($data)
/**
* Prints the error string
*
* @stub
*
* @param string $errdat
*
@ -1065,7 +990,6 @@ function fann_print_error($errdat)
/**
* Give each connection a random weight between min_weight and max_weight
*
* @stub
*
* @param resource $ann
* @param float $min_weight
@ -1080,7 +1004,6 @@ function fann_randomize_weights($ann, $min_weight, $max_weight)
/**
* Reads a file that stores training data
*
* @stub
*
* @param string $filename
*
@ -1093,7 +1016,6 @@ function fann_read_train_from_file($filename)
/**
* Resets the last error number
*
* @stub
*
* @param resource $errdat
*
@ -1106,7 +1028,6 @@ function fann_reset_errno($errdat)
/**
* Resets the last error string
*
* @stub
*
* @param resource $errdat
*
@ -1119,7 +1040,6 @@ function fann_reset_errstr($errdat)
/**
* Resets the mean square error from the network
*
* @stub
*
* @param string $ann
*
@ -1132,7 +1052,6 @@ function fann_reset_MSE($ann)
/**
* Will run input through the neural network
*
* @stub
*
* @param resource $ann
* @param array $input
@ -1146,7 +1065,6 @@ function fann_run($ann, $input)
/**
* Saves the entire network to a configuration file
*
* @stub
*
* @param resource $ann
* @param string $configuration_file
@ -1160,7 +1078,6 @@ function fann_save($ann, $configuration_file)
/**
* Save the training structure to a file
*
* @stub
*
* @param resource $data
* @param string $file_name
@ -1174,7 +1091,6 @@ function fann_save_train($data, $file_name)
/**
* Scale data in input vector before feed it to ann based on previously calculated parameters
*
* @stub
*
* @param resource $ann
* @param array $input_vector
@ -1188,7 +1104,6 @@ function fann_scale_input($ann, $input_vector)
/**
* Scales the inputs in the training data to the specified range
*
* @stub
*
* @param resource $train_data
* @param float $new_min
@ -1203,7 +1118,6 @@ function fann_scale_input_train_data($train_data, $new_min, $new_max)
/**
* Scale data in output vector before feed it to ann based on previously calculated parameters
*
* @stub
*
* @param resource $ann
* @param array $output_vector
@ -1217,7 +1131,6 @@ function fann_scale_output($ann, $output_vector)
/**
* Scales the outputs in the training data to the specified range
*
* @stub
*
* @param resource $train_data
* @param float $new_min
@ -1232,7 +1145,6 @@ function fann_scale_output_train_data($train_data, $new_min, $new_max)
/**
* Scales the inputs and outputs in the training data to the specified range
*
* @stub
*
* @param resource $train_data
* @param float $new_min
@ -1247,7 +1159,6 @@ function fann_scale_train_data($train_data, $new_min, $new_max)
/**
* Scale input and output data based on previously calculated parameters
*
* @stub
*
* @param resource $ann
* @param resource $train_data
@ -1261,7 +1172,6 @@ function fann_scale_train($ann, $train_data)
/**
* Sets the activation function for all of the hidden layers
*
* @stub
*
* @param resource $ann
* @param int $activation_function
@ -1275,7 +1185,6 @@ function fann_set_activation_function_hidden($ann, $activation_function)
/**
* Sets the activation function for all the neurons in the supplied layer.
*
* @stub
*
* @param resource $ann
* @param int $activation_function
@ -1290,7 +1199,6 @@ function fann_set_activation_function_layer($ann, $activation_function, $layer)
/**
* Sets the activation function for the output layer
*
* @stub
*
* @param resource $ann
* @param int $activation_function
@ -1304,7 +1212,6 @@ function fann_set_activation_function_output($ann, $activation_function)
/**
* Sets the activation function for supplied neuron and layer
*
* @stub
*
* @param resource $ann
* @param int $activation_function
@ -1320,7 +1227,6 @@ function fann_set_activation_function($ann, $activation_function, $layer, $neuro
/**
* Sets the steepness of the activation steepness for all neurons in the all hidden layers
*
* @stub
*
* @param resource $ann
* @param float $activation_steepness
@ -1334,7 +1240,6 @@ function fann_set_activation_steepness_hidden($ann, $activation_steepness)
/**
* Sets the activation steepness for all of the neurons in the supplied layer number
*
* @stub
*
* @param resource $ann
* @param float $activation_steepness
@ -1349,7 +1254,6 @@ function fann_set_activation_steepness_layer($ann, $activation_steepness, $layer
/**
* Sets the steepness of the activation steepness in the output layer
*
* @stub
*
* @param resource $ann
* @param float $activation_steepness
@ -1363,7 +1267,6 @@ function fann_set_activation_steepness_output($ann, $activation_steepness)
/**
* Sets the activation steepness for supplied neuron and layer number
*
* @stub
*
* @param resource $ann
* @param float $activation_steepness
@ -1379,7 +1282,6 @@ function fann_set_activation_steepness($ann, $activation_steepness, $layer, $neu
/**
* Set the bit fail limit used during training
*
* @stub
*
* @param resource $ann
* @param float $bit_fail_limit
@ -1393,7 +1295,6 @@ function fann_set_bit_fail_limit($ann, $bit_fail_limit)
/**
* Sets the callback function for use during training
*
* @stub
*
* @param resource $ann
* @param collable $callback
@ -1407,7 +1308,6 @@ function fann_set_callback($ann, $callback)
/**
* Sets the array of cascade candidate activation functions
*
* @stub
*
* @param resource $ann
* @param array $cascade_activation_functions
@ -1421,7 +1321,6 @@ function fann_set_cascade_activation_functions($ann, $cascade_activation_functio
/**
* Sets the array of cascade candidate activation steepnesses
*
* @stub
*
* @param resource $ann
* @param array $cascade_activation_steepnesses_count
@ -1435,7 +1334,6 @@ function fann_set_cascade_activation_steepnesses($ann, $cascade_activation_steep
/**
* Sets the cascade candidate change fraction
*
* @stub
*
* @param resource $ann
* @param float $cascade_candidate_change_fraction
@ -1449,7 +1347,6 @@ function fann_set_cascade_candidate_change_fraction($ann, $cascade_candidate_cha
/**
* Sets the candidate limit
*
* @stub
*
* @param resource $ann
* @param float $cascade_candidate_limit
@ -1463,7 +1360,6 @@ function fann_set_cascade_candidate_limit($ann, $cascade_candidate_limit)
/**
* Sets the number of cascade candidate stagnation epochs
*
* @stub
*
* @param resource $ann
* @param int $cascade_candidate_stagnation_epochs
@ -1477,7 +1373,6 @@ function fann_set_cascade_candidate_stagnation_epochs($ann, $cascade_candidate_s
/**
* Sets the max candidate epochs
*
* @stub
*
* @param resource $ann
* @param int $cascade_max_cand_epochs
@ -1491,7 +1386,6 @@ function fann_set_cascade_max_cand_epochs($ann, $cascade_max_cand_epochs)
/**
* Sets the maximum out epochs
*
* @stub
*
* @param resource $ann
* @param int $cascade_max_out_epochs
@ -1505,7 +1399,6 @@ function fann_set_cascade_max_out_epochs($ann, $cascade_max_out_epochs)
/**
* Sets the min candidate epochs
*
* @stub
*
* @param resource $ann
* @param int $cascade_min_cand_epochs
@ -1519,7 +1412,6 @@ function fann_set_cascade_min_cand_epochs($ann, $cascade_min_cand_epochs)
/**
* Sets the minimum out epochs
*
* @stub
*
* @param resource $ann
* @param int $cascade_min_out_epochs
@ -1533,7 +1425,6 @@ function fann_set_cascade_min_out_epochs($ann, $cascade_min_out_epochs)
/**
* Sets the number of candidate groups
*
* @stub
*
* @param resource $ann
* @param int $cascade_num_candidate_groups
@ -1547,7 +1438,6 @@ function fann_set_cascade_num_candidate_groups($ann, $cascade_num_candidate_grou
/**
* Sets the cascade output change fraction
*
* @stub
*
* @param resource $ann
* @param float $cascade_output_change_fraction
@ -1561,7 +1451,6 @@ function fann_set_cascade_output_change_fraction($ann, $cascade_output_change_fr
/**
* Sets the number of cascade output stagnation epochs
*
* @stub
*
* @param resource $ann
* @param int $cascade_output_stagnation_epochs
@ -1575,7 +1464,6 @@ function fann_set_cascade_output_stagnation_epochs($ann, $cascade_output_stagnat
/**
* Sets the weight multiplier
*
* @stub
*
* @param resource $ann
* @param float $cascade_weight_multiplier
@ -1589,7 +1477,6 @@ function fann_set_cascade_weight_multiplier($ann, $cascade_weight_multiplier)
/**
* Sets where the errors are logged to
*
* @stub
*
* @param resource $errdat
* @param string $log_file
@ -1603,7 +1490,6 @@ function fann_set_error_log($errdat, $log_file)
/**
* Calculate input scaling parameters for future use based on training data
*
* @stub
*
* @param resource $ann
* @param resource $train_data
@ -1619,7 +1505,6 @@ function fann_set_input_scaling_params($ann, $train_data, $new_input_min, $new_i
/**
* Sets the learning momentum
*
* @stub
*
* @param resource $ann
* @param float $learning_momentum
@ -1633,7 +1518,6 @@ function fann_set_learning_momentum($ann, $learning_momentum)
/**
* Sets the learning rate
*
* @stub
*
* @param resource $ann
* @param float $learning_rate
@ -1647,7 +1531,6 @@ function fann_set_learning_rate($ann, $learning_rate)
/**
* Calculate output scaling parameters for future use based on training data
*
* @stub
*
* @param resource $ann
* @param resource $train_data
@ -1663,7 +1546,6 @@ function fann_set_output_scaling_params($ann, $train_data, $new_output_min, $new
/**
* Sets the quickprop decay factor
*
* @stub
*
* @param resource $ann
* @param float $quickprop_decay
@ -1677,7 +1559,6 @@ function fann_set_quickprop_decay($ann, $quickprop_decay)
/**
* Sets the quickprop mu factor
*
* @stub
*
* @param resource $ann
* @param float $quickprop_mu
@ -1691,7 +1572,6 @@ function fann_set_quickprop_mu($ann, $quickprop_mu)
/**
* Sets the decrease factor used during RPROP training
*
* @stub
*
* @param resource $ann
* @param float $rprop_decrease_factor
@ -1705,7 +1585,6 @@ function fann_set_rprop_decrease_factor($ann, $rprop_decrease_factor)
/**
* Sets the maximum step-size
*
* @stub
*
* @param resource $ann
* @param float $rprop_delta_max
@ -1719,7 +1598,6 @@ function fann_set_rprop_delta_max($ann, $rprop_delta_max)
/**
* Sets the minimum step-size
*
* @stub
*
* @param resource $ann
* @param float $rprop_delta_min
@ -1733,7 +1611,6 @@ function fann_set_rprop_delta_min($ann, $rprop_delta_min)
/**
* Sets the initial step-size
*
* @stub
*
* @param resource $ann
* @param float $rprop_delta_zero
@ -1747,7 +1624,6 @@ function fann_set_rprop_delta_zero($ann, $rprop_delta_zero)
/**
* Sets the increase factor used during RPROP training
*
* @stub
*
* @param resource $ann
* @param float $rprop_increase_factor
@ -1761,7 +1637,6 @@ function fann_set_rprop_increase_factor($ann, $rprop_increase_factor)
/**
* Sets the sarprop step error shift
*
* @stub
*
* @param resource $ann
* @param float $sarprop_step_error_shift
@ -1775,7 +1650,6 @@ function fann_set_sarprop_step_error_shift($ann, $sarprop_step_error_shift)
/**
* Sets the sarprop step error threshold factor
*
* @stub
*
* @param resource $ann
* @param float $sarprop_step_error_threshold_factor
@ -1789,7 +1663,6 @@ function fann_set_sarprop_step_error_threshold_factor($ann, $sarprop_step_error_
/**
* Sets the sarprop temperature
*
* @stub
*
* @param resource $ann
* @param float $sarprop_temperature
@ -1803,7 +1676,6 @@ function fann_set_sarprop_temperature($ann, $sarprop_temperature)
/**
* Sets the sarprop weight decay shift
*
* @stub
*
* @param resource $ann
* @param float $sarprop_weight_decay_shift
@ -1817,7 +1689,6 @@ function fann_set_sarprop_weight_decay_shift($ann, $sarprop_weight_decay_shift)
/**
* Calculate input and output scaling parameters for future use based on training data
*
* @stub
*
* @param resource $ann
* @param resource $train_data
@ -1835,7 +1706,6 @@ function fann_set_scaling_params($ann, $train_data, $new_input_min, $new_input_m
/**
* Sets the error function used during training
*
* @stub
*
* @param resource $ann
* @param int $error_function
@ -1849,7 +1719,6 @@ function fann_set_train_error_function($ann, $error_function)
/**
* Sets the training algorithm
*
* @stub
*
* @param resource $ann
* @param int $training_algorithm
@ -1863,7 +1732,6 @@ function fann_set_training_algorithm($ann, $training_algorithm)
/**
* Sets the stop function used during training
*
* @stub
*
* @param resource $ann
* @param int $stop_function
@ -1877,7 +1745,6 @@ function fann_set_train_stop_function($ann, $stop_function)
/**
* Set connections in the network
*
* @stub
*
* @param resource $ann
* @param array $connections
@ -1891,7 +1758,6 @@ function fann_set_weight_array($ann, $connections)
/**
* Set a connection in the network
*
* @stub
*
* @param resource $ann
* @param int $from_neuron
@ -1907,7 +1773,6 @@ function fann_set_weight($ann, $from_neuron, $to_neuron, $weight)
/**
* Shuffles training data, randomizing the order
*
* @stub
*
* @param resource $train_data
*
@ -1920,7 +1785,6 @@ function fann_shuffle_train_data($train_data)
/**
* Returns an copy of a subset of the train data
*
* @stub
*
* @param resource $data
* @param int $pos
@ -1935,7 +1799,6 @@ function fann_subset_train_data($data, $pos, $length)
/**
* Test a set of training data and calculates the MSE for the training data
*
* @stub
*
* @param resource $ann
* @param resource $data
@ -1949,7 +1812,6 @@ function fann_test_data($ann, $data)
/**
* Test with a set of inputs, and a set of desired outputs
*
* @stub
*
* @param resource $ann
* @param array $input
@ -1964,7 +1826,6 @@ function fann_test($ann, $input, $desired_output)
/**
* Train one epoch with a set of training data
*
* @stub
*
* @param resource $ann
* @param resource $data
@ -1978,7 +1839,6 @@ function fann_train_epoch($ann, $data)
/**
* Trains on an entire dataset for a period of time
*
* @stub
*
* @param resource $ann
* @param resource $data
@ -1995,7 +1855,6 @@ function fann_train_on_data($ann, $data, $max_epochs, $epochs_between_reports, $
/**
* Trains on an entire dataset, which is read from file, for a period of time
*
* @stub
*
* @param resource $ann
* @param string $filename
@ -2012,7 +1871,6 @@ function fann_train_on_file($ann, $filename, $max_epochs, $epochs_between_report
/**
* Train one iteration with a set of inputs, and a set of desired outputs
*
* @stub
*
* @param resource $ann
* @param array $input

25
gnupg/gnupg.php
View File

@ -38,7 +38,6 @@ class gnupg {
/**
* Add a key for decryption
* @link https://php.net/manual/en/function.gnupg-adddecryptkey.php
* @phpstub
*
* @param string $fingerprint
* @param string $passphrase
@ -52,7 +51,6 @@ class gnupg {
/**
* Verifies a signed text
* @link https://php.net/manual/en/function.gnupg-verify.php
* @phpstub
*
* * @param string $signed_text
* @param string $signature
@ -68,7 +66,6 @@ class gnupg {
/**
* Add a key for encryption
* @link https://php.net/manual/en/function.gnupg-addencryptkey.php
* @phpstub
*
* @param string $fingerprint
*
@ -81,7 +78,6 @@ class gnupg {
/**
* Add a key for signing
* @link https://php.net/manual/en/function.gnupg-addsignkey.php
* @phpstub
*
* @param string $fingerprint
* @param string $passphrase
@ -95,7 +91,6 @@ class gnupg {
/**
* Removes all keys which were set for decryption before
* @link https://php.net/manual/en/function.gnupg-cleardecryptkeys.php
* @phpstub
*
* @return bool
*/
@ -106,8 +101,6 @@ class gnupg {
/**
* Removes all keys which were set for encryption before
* @link https://php.net/manual/en/function.gnupg-clearencryptkeys.php
* @phpstub
*
*
* @return bool
*/
@ -118,8 +111,6 @@ class gnupg {
/**
* Removes all keys which were set for signing before
* @link https://php.net/manual/en/function.gnupg-clearsignkeys.php
* @phpstub
*
*
* @return bool
*/
@ -130,7 +121,6 @@ class gnupg {
/**
* Decrypts a given text
* @link https://php.net/manual/en/function.gnupg-decrypt.php
* @phpstub
*
* @param string $text
*
@ -144,7 +134,6 @@ class gnupg {
/**
* Decrypts and verifies a given text
* @link https://php.net/manual/en/function.gnupg-decryptverify.php
* @phpstub
*
* @param string $text
* @param string $plaintext
@ -160,7 +149,6 @@ class gnupg {
/**
* Encrypts a given text
* @link https://php.net/manual/en/function.gnupg-encrypt.php
* @phpstub
*
* @param string $plaintext
*
@ -174,7 +162,6 @@ class gnupg {
/**
* Encrypts and signs a given text
* @link https://php.net/manual/en/function.gnupg-encryptsign.php
* @phpstub
*
* @param string $plaintext
*
@ -188,7 +175,6 @@ class gnupg {
/**
* Exports a key
* @link https://php.net/manual/en/function.gnupg-export.php
* @phpstub
*
* @param string $fingerprint
*
@ -202,8 +188,6 @@ class gnupg {
/**
* Returns the errortext, if a function fails
* @link https://php.net/manual/en/function.gnupg-geterror.php
* @phpstub
*
*
* @return string|false Returns an errortext, if an error has occurred, otherwise false.
*/
@ -214,8 +198,6 @@ class gnupg {
/**
* Returns the currently active protocol for all operations
* @link https://php.net/manual/en/function.gnupg-getprotocol.php
* @phpstub
*
*
* @return int Returns the currently active protocol, which can be one of
* or
@ -228,7 +210,6 @@ class gnupg {
/**
* Imports a key
* @link https://php.net/manual/en/function.gnupg-import.php
* @phpstub
*
* @param string $keydata
*
@ -242,7 +223,6 @@ class gnupg {
/**
* Initialize a connection
* @link https://php.net/manual/en/function.gnupg-init.php
* @phpstub
*
* @return resource A GnuPG ``resource`` connection used by other GnuPG functions.
*/
@ -253,7 +233,6 @@ class gnupg {
/**
* Returns an array with information about all keys that matches the given pattern
* @link https://php.net/manual/en/function.gnupg-keyinfo.php
* @phpstub
*
* @param string $pattern
*
@ -267,7 +246,6 @@ class gnupg {
/**
* Toggle armored output
* @link https://php.net/manual/en/function.gnupg-setarmor.php
* @phpstub
*
* @param int $armor
*
@ -280,7 +258,6 @@ class gnupg {
/**
* Sets the mode for error_reporting
* @link https://php.net/manual/en/function.gnupg-seterrormode.php
* @phpstub
*
* @param int $errormode
*
@ -293,7 +270,6 @@ class gnupg {
/**
* Sets the mode for signing
* @link https://php.net/manual/en/function.gnupg-setsignmode.php
* @phpstub
*
* @param int $signmode
*
@ -306,7 +282,6 @@ class gnupg {
/**
* Signs a given text
* @link https://php.net/manual/en/function.gnupg-sign.php
* @phpstub
*
* @param string $plaintext
*

83
http/http3.php
View File

@ -39,29 +39,25 @@ class Client implements \SplSubject, \Countable {
const DEBUG_SSL = 64;
/**
* Attached observers.
*
* @private
*
* @var \SplObjectStorage
*/
private $observers = NULL;
/**
* Set options.
*
* @protected
* @var array
*/
protected $options = NULL;
/**
* Request/response history.
*
* @protected
* @var \http\Message
*/
protected $history = NULL;
/**
* Whether to record history in http\Client::$history.
*
* @public
*
* @var bool
*/
public $recordHistory = false;
@ -813,15 +809,13 @@ class Header implements \Serializable {
const MATCH_STRICT = 33;
/**
* The name of the HTTP header.
*
* @public
*
* @var string
*/
public $name = NULL;
/**
* The value of the HTTP header.
*
* @public
*
* @var
*/
public $value = NULL;
@ -924,63 +918,54 @@ class Message implements \Countable, \Serializable, \Iterator {
/**
* The message type. See http\Message::TYPE_* constants.
*
* @protected
* @var int
*/
protected $type = \http\Message::TYPE_NONE;
/**
* The message's body.
*
* @protected
* @var \http\Message\Body
*/
protected $body = NULL;
/**
* The request method if the message is of type request.
*
* @protected
* @var string
*/
protected $requestMethod = "";
/**
* The request url if the message is of type request.
*
* @protected
* @var string
*/
protected $requestUrl = "";
/**
* The response status phrase if the message is of type response.
*
* @protected
* @var string
*/
protected $responseStatus = "";
/**
* The response code if the message is of type response.
*
* @protected
* @var int
*/
protected $responseCode = 0;
/**
* A custom HTTP protocol version.
*
* @protected
* @var string
*/
protected $httpVersion = NULL;
/**
* Any message headers.
*
* @protected
* @var array
*/
protected $headers = NULL;
/**
* Any parent message.
*
* @protected
* @var \http\Message
*/
protected $parentMessage;
@ -1404,36 +1389,31 @@ class Params implements \ArrayAccess {
const PARSE_RFC5988 = 32;
/**
* The (parsed) parameters.
*
* @public
*
* @var array
*/
public $params = NULL;
/**
* The parameter separator(s).
*
* @public
*
* @var array
*/
public $param_sep = \http\Params::DEF_PARAM_SEP;
/**
* The argument separator(s).
*
* @public
*
* @var array
*/
public $arg_sep = \http\Params::DEF_ARG_SEP;
/**
* The value separator(s).
*
* @public
*
* @var array
*/
public $val_sep = \http\Params::DEF_VAL_SEP;
/**
* The modus operandi of the parser. See http\Params::PARSE_* constants.
*
* @public
*
* @var int
*/
public $flags = \http\Params::PARSE_DEFAULT;
@ -1526,15 +1506,13 @@ class QueryString implements \Serializable, \ArrayAccess, \IteratorAggregate {
const TYPE_OBJECT = 8;
/**
* The global instance. See http\QueryString::getGlobalInstance().
*
* @private
*
* @var \http\QueryString
*/
private $instance = NULL;
/**
* The data.
*
* @private
*
* @var array
*/
private $queryArray = NULL;
@ -1823,57 +1801,49 @@ class Url {
const STDFLAGS = 3350531;
/**
* The URL's scheme.
*
* @public
*
* @var string
*/
public $scheme = NULL;
/**
* Authenticating user.
*
* @public
*
* @var string
*/
public $user = NULL;
/**
* Authentication password.
*
* @public
*
* @var string
*/
public $pass = NULL;
/**
* Hostname/domain.
*
* @public
*
* @var string
*/
public $host = NULL;
/**
* Port.
*
* @public
*
* @var string
*/
public $port = NULL;
/**
* URL path.
*
* @public
*
* @var string
*/
public $path = NULL;
/**
* URL querystring.
*
* @public
*
* @var string
*/
public $query = NULL;
/**
* URL fragment (hash).
*
* @public
*
* @var string
*/
public $fragment = NULL;
@ -2081,7 +2051,6 @@ class Request extends \http\Message {
/**
* Array of options for this request, which override client options.
*
* @protected
* @var array
*/
protected $options = NULL;
@ -2628,28 +2597,24 @@ class Request extends \http\Message {
/**
* The request's query parameters. ($_GET)
*
* @protected
* @var \http\QueryString
*/
protected $query = NULL;
/**
* The request's form parameters. ($_POST)
*
* @protected
* @var \http\QueryString
*/
protected $form = NULL;
/**
* The request's form uploads. ($_FILES)
*
* @protected
* @var array
*/
protected $files = NULL;
/**
* The request's cookies. ($_COOKIE)
*
* @protected
* @var array
*/
protected $cookie = NULL;
@ -2748,70 +2713,60 @@ class Response extends \http\Message {
/**
* A request instance which overrides the environments default request.
*
* @protected
* @var \http\Env\Request
*/
protected $request = NULL;
/**
* The response's MIME content type.
*
* @protected
* @var string
*/
protected $contentType = NULL;
/**
* The response's MIME content disposition.
*
* @protected
* @var string
*/
protected $contentDisposition = NULL;
/**
* See http\Env\Response::CONTENT_ENCODING_* constants.
*
* @protected
* @var int
*/
protected $contentEncoding = NULL;
/**
* How the client should treat this response in regards to caching.
*
* @protected
* @var string
*/
protected $cacheControl = NULL;
/**
* A custom ETag.
*
* @protected
* @var string
*/
protected $etag = NULL;
/**
* A "Last-Modified" time stamp.
*
* @protected
* @var int
*/
protected $lastModified = NULL;
/**
* Any throttling delay.
*
* @protected
* @var int
*/
protected $throttleDelay = NULL;
/**
* The chunk to send every $throttleDelay seconds.
*
* @protected
* @var int
*/
protected $throttleChunk = NULL;
/**
* The response's cookies.
*
* @protected
* @var array
*/
protected $cookies = NULL;

2
imagick/imagick.php
View File

@ -6315,7 +6315,7 @@ class ImagickPixelIterator implements Iterator {
* @link https://php.net/manual/en/imagickpixeliterator.newpixeliterator.php
* @param Imagick $wand
* @return bool <b>TRUE</b> on success. Throwing ImagickPixelIteratorException.
* @throw ImagickPixelIteratorException
* @throws ImagickPixelIteratorException
*/
public function newPixelIterator (Imagick $wand) {}

23
inotify/inotify.php
View File

@ -84,117 +84,94 @@ function inotify_rm_watch( $inotify_instance, $watch_descriptor )
}
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_ACCESS = 1;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_MODIFY = 2;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_ATTRIB = 4;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_CLOSE_WRITE = 8;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_CLOSE_NOWRITE = 16;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_OPEN = 32;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_MOVED_FROM = 64;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_MOVED_TO = 128;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_CREATE = 256;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_DELETE = 512;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_DELETE_SELF = 1024;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_MOVE_SELF = 2048;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_UNMOUNT = 8192;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_Q_OVERFLOW = 16384;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_IGNORED = 32768;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_CLOSE = 24;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_MOVE = 192;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_ALL_EVENTS = 4095;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_ONLYDIR = 16777216;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_DONT_FOLLOW = 33554432;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_MASK_ADD = 536870912;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_ISDIR = 1073741824;
/**
* @type int
* @link https://php.net/manual/en/inotify.constants.php
*/
const IN_ONESHOT = 2147483648;

16
mongo/mongo.php
View File

@ -149,7 +149,6 @@ class MongoClient
/**
* Get connections
* Returns an array of all open connections, and information about each of the servers
* @static
* @return array
*/
static public function getConnections ()
@ -1239,7 +1238,6 @@ class MongoCollection {
/**
* @param mixed $keys
* @static
* @return string
*/
protected static function toIndexString($keys) {}
@ -1263,7 +1261,6 @@ class MongoCollection {
class MongoCursor implements Iterator {
/**
* @link https://php.net/manual/en/class.mongocursor.php#mongocursor.props.slaveokay
* @static
* @var bool $slaveOkay
*/
public static $slaveOkay = FALSE;
@ -1840,7 +1837,6 @@ class MongoGridFSFile {
class MongoGridFSCursor extends MongoCursor implements Traversable, Iterator {
/**
* @static
* @var $slaveOkay
*/
public static $slaveOkay;
@ -2133,13 +2129,11 @@ class MongoBinData {
class MongoDBRef {
/**
* @static
* @var $refKey
*/
protected static $refKey = '$ref';
/**
* @static
* @var $idKey
*/
protected static $idKey = '$id';
@ -2148,7 +2142,6 @@ class MongoDBRef {
* If no database is given, the current database is used.
*
* @link https://php.net/manual/en/mongodbref.create.php
* @static
* @param string $collection Collection name (without the database name)
* @param mixed $id The _id field of the object to which to link
* @param string $database Database name
@ -2161,7 +2154,6 @@ class MongoDBRef {
* It merely checks that $ref is in valid database reference format (in that it is an object or array with $ref and $id fields).
*
* @link https://php.net/manual/en/mongodbref.isref.php
* @static
* @param mixed $ref Array or object to check
* @return bool Returns true if $ref is a reference
*/
@ -2170,7 +2162,6 @@ class MongoDBRef {
/**
* Fetches the object pointed to by a reference
* @link https://php.net/manual/en/mongodbref.get.php
* @static
* @param MongoDB $db Database to use
* @param array $ref Reference to fetch
* @return array|null Returns the document to which the reference refers or null if the document does not exist (the reference is broken)
@ -2547,7 +2538,6 @@ class MongoLog {
* section with bitwise operators to specify levels.
*
* @link https://php.net/manual/en/mongolog.setlevel.php
* @static
* @param int $level The levels you would like to log
* @return void
*/
@ -2558,7 +2548,6 @@ class MongoLog {
* MongoLog section with bitwise operators to check the level.
*
* @link https://php.net/manual/en/mongolog.getlevel.php
* @static
* @return int Returns the current level
*/
public static function getLevel() {}
@ -2569,7 +2558,6 @@ class MongoLog {
* bitwise operators to specify modules.
*
* @link https://php.net/manual/en/mongolog.setmodule.php
* @static
* @param int $module The module(s) you would like to log
* @return void
*/
@ -2581,7 +2569,6 @@ class MongoLog {
* operators to check if specific modules are being logged.
*
* @link https://php.net/manual/en/mongolog.getmodule.php
* @static
* @return int Returns the modules currently being logged
*/
public static function getModule() {}
@ -2592,7 +2579,6 @@ class MongoPool {
* Returns an array of information about all connection pools.
*
* @link https://php.net/manual/en/mongopool.info.php
* @static
* @return array Each connection pool has an identifier, which starts with the host. For
* each pool, this function shows the following fields: $in use The number of
* connections currently being used by Mongo instances. $in pool The number of
@ -2620,7 +2606,6 @@ class MongoPool {
* Sets the max number of connections new pools will be able to create.
*
* @link https://php.net/manual/en/mongopool.setsize.php
* @static
* @param int $size The max number of connections future pools will be able to
* create. Negative numbers mean that the pool will spawn an infinite number of
* connections
@ -2632,7 +2617,6 @@ class MongoPool {
* .
*
* @link https://php.net/manual/en/mongopool.getsize.php
* @static
* @return int Returns the current pool size
*/
public static function getSize() {}

2
mongodb/mongodb.php
View File

@ -886,7 +886,7 @@ namespace MongoDB {}
* @link https://php.net/manual/en/mongodb-driver-bulkwrite.insert.php
* @param array|object $document
* @return mixed
* @Throws MongoDB\Driver\InvalidArgumentException on argument parsing errors.
* @throws InvalidArgumentException on argument parsing errors.
*/
public final function insert($document)
{

20
mqseries/mqseries.php
View File

@ -9,7 +9,7 @@ function mqseries_back($hconn, &$compCode, &$reason)
{
}
/** @noinspection MoreThanThreeArgumentsInspection
/**
* @param resource $hconn
* @param array $beginOptions
* @param resource $compCode
@ -19,7 +19,7 @@ function mqseries_begin($hconn, array $beginOptions, &$compCode, &$reason)
{
}
/** @noinspection MoreThanThreeArgumentsInspection
/**
* @param resource $hconn
* @param resource $hobj
* @param int $options
@ -39,7 +39,7 @@ function mqseries_cmit($hconn, &$compCode, &$reason)
{
}
/** @noinspection MoreThanThreeArgumentsInspection
/**
* @param string $qManagerName
* @param resource $hconn
* @param resource $compCode
@ -49,7 +49,7 @@ function mqseries_conn($qManagerName, &$hconn, &$compCode, &$reason)
{
}
/** @noinspection MoreThanThreeArgumentsInspection
/**
* @param string $qManagerName
* @param array $connOptions
* @param resource $hconn
@ -69,7 +69,7 @@ function mqseries_disc($hconn, &$compCode, &$reason)
{
}
/** @noinspection MoreThanThreeArgumentsInspection
/**
* @param resource $hConn
* @param resource $hObj
* @param array $md
@ -84,7 +84,7 @@ function mqseries_get($hConn, $hObj, array &$md, array &$gmo, &$bufferLength, &$
{
}
/** @noinspection MoreThanThreeArgumentsInspection
/**
* @param resource $hconn
* @param resource $hobj
* @param int $selectorCount
@ -100,7 +100,7 @@ function mqseries_inq($hconn, $hobj, $selectorCount, array $selectors, $intAttrC
{
}
/** @noinspection MoreThanThreeArgumentsInspection
/**
* @param resource $hconn
* @param array $objDesc
* @param int $option
@ -112,7 +112,7 @@ function mqseries_open($hconn, array &$objDesc, $option, &$hobj, &$compCode, &$r
{
}
/** @noinspection MoreThanThreeArgumentsInspection
/**
* @param resource $hconn
* @param resource $objDesc
* @param resource $msgDesc
@ -125,7 +125,7 @@ function mqseries_put1($hconn, &$objDesc, &$msgDesc, &$pmo, $buffer, &$compCode,
{
}
/** @noinspection MoreThanThreeArgumentsInspection
/**
* @param resource $hConn
* @param resource $hObj
* @param array $md
@ -138,7 +138,7 @@ function mqseries_put($hConn, $hObj, array &$md, array &$pmo, $message, &$compCo
{
}
/** @noinspection MoreThanThreeArgumentsInspection
/**
* @param resource $hconn
* @param resource $hobj
* @param int $selectorcount

7
oauth/oauth.php
View File

@ -312,8 +312,6 @@ class OAuthProvider {
* @param int $size
* @param bool $strong
* @return string
* @static
* @final
*/
final public static function generateToken($size, $strong = false) { }
@ -332,16 +330,13 @@ class OAuthProvider {
/**
* @param string $req_params
* @return bool
* @final
*/
final public function removeRequiredParameter($req_params) { }
/**
* @param string $oauthexception
* @param bool $send_headers
* @static
* @return string
* @final
*/
final public static function reportProblem($oauthexception, $send_headers = true) { }
@ -349,7 +344,6 @@ class OAuthProvider {
* @param string $param_key
* @param mixed $param_val
* @return bool
* @final
*/
final public function setParam($param_key, $param_val = null) { }
@ -357,7 +351,6 @@ class OAuthProvider {
/**
* @param string $path
* @return bool
* @final
*/
final public function setRequestTokenPath($path) { }

2
pcntl/pcntl.php
View File

@ -457,7 +457,7 @@ function pcntl_async_signals($on = null) {}
function pcntl_signal_get_handler($signo) {}
/**
* @sine 7.4
* @since 7.4
*/
function pcntl_unshare($flags){}

4
standard/standard_5.php
View File

@ -366,9 +366,7 @@ function popen ($command, $mode) {}
* @param resource $context [optional] <p>
* A context stream resource.
* </p>
* @return false|int the number of bytes read from the file. If an error
* occurs, false is returned and unless the function was called as
* @readfile, an error message is printed.
* @return false|int the number of bytes read from the file, or FALSE on failure
*/
function readfile ($filename, $use_include_path = null, $context = null) {}

2
standard/standard_8.php
View File

@ -68,7 +68,7 @@ function closelog () {}
* Registers a function that will be called when PHP starts sending output.
* The callback is executed just after PHP prepares all headers to be sent,<br>
* and before any other output is sent, creating a window to manipulate the outgoing headers before being sent.
* @linkhttps://secure.php.net/manual/en/function.header-register-callback.php
* @link https://secure.php.net/manual/en/function.header-register-callback.php
* @param callable $callback Function called just before the headers are sent.
* @return bool true on success or false on failure.
*/

2
winbinder/winbinder.php
View File

@ -1,4 +1,4 @@
<?php /** @noinspection ALL */
<?php
/**
* Stub file - DO NOT INCLUDE! = For PHPStorm to analyse.

3
xhprof/xhprof.php
View File

@ -57,17 +57,14 @@ function xhprof_sample_disable()
}
/**
* @type int
* @link https://php.net/manual/en/xhprof.constants.php#constant.xhprof-flags-no-builtins
*/
const XHPROF_FLAGS_NO_BUILTINS = 1;
/**
* @type int
* @link https://php.net/manual/en/xhprof.constants.php#constant.xhprof-flags-cpu
*/
const XHPROF_FLAGS_CPU = 2;
/**
* @type int
* @link https://php.net/manual/en/xhprof.constants.php##constant.xhprof-flags-memory
*/
const XHPROF_FLAGS_MEMORY = 4;

18
yaml/yaml.php
View File

@ -37,16 +37,24 @@ define('YAML_UTF16LE_ENCODING', 2);
define('YAML_UTF16BE_ENCODING', 3);
/**
* Linebreak types for yaml_emit()
* Let emitter choose linebreak character.
* @link https://php.net/manual/en/yaml.constants.php
* @const YAML_ANY_BREAK Let emitter choose linebreak character.
* @const YAML_CR_BREAK Use \r as break character (Mac style).
* @const YAML_LN_BREAK Use \n as break character (Unix style).
* @const YAML_CRLN_BREAK Use \r\n as break character (DOS style).
*/
define('YAML_ANY_BREAK', 0);
/**
* Use \r as break character (Mac style).
* @link https://php.net/manual/en/yaml.constants.php
*/
define('YAML_CR_BREAK', 1);
/**
* Use \n as break character (Unix style).
* @link https://php.net/manual/en/yaml.constants.php
*/
define('YAML_LN_BREAK', 2);
/**
* Use \r\n as break character (DOS style).
* @link https://php.net/manual/en/yaml.constants.php
*/
define('YAML_CRLN_BREAK', 3);
define('YAML_MERGE_TAG', 'tag:yaml.org,2002:merge');

1
zend/zend.php
View File

@ -634,7 +634,6 @@ class java {
*
* @return java
* @param $classname string
* @vararg ...
*/
function java($classname) {}

1
zend/zend_f.php
View File

@ -23,7 +23,6 @@ function jobqueue_license_info(){};
*
* @return object
* @param string $class
* @vararg ...
*/
function java($class) {}

5
zlib/zlib.php
View File

@ -13,10 +13,7 @@
* You can set this optional parameter to 1, if you
* want to search for the file in the include_path too.
* </p>
* @return int the number of (uncompressed) bytes read from the file. If
* an error occurs, <b>FALSE</b> is returned and unless the function was
* called as @readgzfile, an error message is
* printed.
* @return int the number of (uncompressed) bytes read from the file, or FALSE on error
*/
function readgzfile ($filename, $use_include_path = 0) {}