Tag: handle

struggle when creating a block table with Matlab

Post author By Full Stack
Post date December 1, 2020
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I am trying to create a function that can create a block table that contains their Handle, FullName, BlockType, Parent by using struct. However, each time I get to enter a model name, it said Error using struct Field names must be non-empty character vectors or a string scalars. Error in createBlockTable (line 10) tableStruct […]

Tags 'Block'); blockCell = cell(1, 'FollowLinks', 'LookUnderMasks', 'Name') ); end end, 'Name'); end end blockTable = assign(tableStruct, 'Name'); Here is my code function blockTable = createBlockTable(modelName) load_system(modelName); getBlock = find_system(modelNam, 'on', "All"]], [Type], 1) tableStruct = struct(get(i), 1). I think i just mess up with something in that line. BUt I do not know how to solve this problem. Please help, blockCell); end I am really confuse at i = getBLock(n, blockType, each time I get to enter a model name, findAll, fullName, get(getBlock(n), handle, I am trying to create a function that can create a block table that contains their Handle, it said Error using struct Field names must be non-empty character vectors or a string scalars. Error in createBlockTable (line 10), length(getBlock)); for n = 1:length(getBlock) for i = getBlock(n, length(getBlock)); for n = 1:length(getBlock) structTable = struct('Handle', Name, Parent by using struct. However, thanks UPDATE #1 After a day I manage to solve it in a way but I do not know how to put all the struct in for loop to an empty cell functio

Mastering Development

Do you know how to emulate holding down a keystroke for any period of time, then releasing it later?

Post author By Full Stack
Post date November 29, 2020
No Comments on Do you know how to emulate holding down a keystroke for any period of time, then releasing it later?

I’m trying to emulate pushing the keyboard V key down while using BASS library to automate Voice Activation push to talk. I’ve got the BASS library working, just can’t get the keyboard to simulate holding down a Key for any length of time! (Delphi 10.4.1 / Target Windows 32-bit) Here’s my current source code: unit […]

Tags -1); //UpdateInputInfo; // update info end; procedure TForm1.FormClose(Sender: TObject; var Action: TCloseAction); begin BASS_RecordF, -1); Inc(i); end; // ...enable the selected. BASS_RecordSetInput(ComboBox1.ItemIndex, 'An incorrect version of BASS.DLL was loaded', @TForm1.RecordingCallback, 0, 0); //keybd_event(ord('v'), 0); Halt; end; i := 0; // dName := BASS_RecordGetInputName(i); //dName := (BASS_RecordGetDeviceInfo(i, 0); ZeroMemory(@eu, 1, 44100, bass, BASS_INPUT_OFF, BASS_INPUT_ON, BASS_RECORD_PAUSE, Counter1: Cardinal; MicON_Bool : Boolean; implementation {$R *.dfm} (* This function called while recording audio *) function TForm1.Rec, deviceInfo)) do begin //BASS_GetInfo(info); ComboBox1.Items.Add(String(deviceInfo.name)); // is this one currently "o, deviceInfo)); while (BASS_RecordGetDeviceInfo(i, eu[0], handle, I'm trying to emulate pushing the keyboard V key down while using BASS library to automate Voice Activation push to talk. I've got the BASS l, just can't get the keyboard to simulate holding down a Key for any length of time! (Delphi 10.4.1 / Target Windows 32-bit) Here's my curren, KEYEVENTF_KEYUP, level) and BASS_INPUT_OFF) = 0 then ComboBox1.ItemIndex := i; Inc(i); //dName := BASS_RecordGetInputName(i);, level); //if (flags and BASS_INPUT_TYPE_MASK) = BASS_INPUT_TYPE_MIC then if (BASS_RecordGetInput(i, MapVirtualKey(ord('v'), MB_ICONERROR); Halt; end; if (not BASS_RecordInit(-1)) or (not BASS_Init(-1, mbOK, mtError, nil, nil); //BASS_Free(); end; procedure TForm1.ComboBox1Change(Sender: TObject); var i: Integer; r: Boolean; begin // enable the s, nil); end; procedure TForm1.Button2Click(Sender: TObject); begin Timer1.Enabled := false; rchan := BASS_RecordStart(44100, nil)) then begin BASS_RecordFree; BASS_Free(); MessageDlg('Cannot start default recording device!', sizeof(eu)); eu[0].Itype := INPUT_KEYBOARD; eu[0].ki.dwFlags := KEYEVENTF_UNICODE or KEYEVENTF_KEYUP; eu[0].ki.wVk := 0; eu[0, sizeof(eu)); eu[0].Itype := INPUT_KEYBOARD; eu[0].ki.dwFlags := KEYEVENTF_UNICODE; eu[0].ki.wVk := 0; eu[0].ki.wScan, sizeof(TInput)); Memo1.Lines.add('Push to Talk ON'); Timer2.Enabled := true; end; end; //if LoudEnough then Memo1.Line, sizeof(TInput)); MicON_Bool := false; Counter1 := 0; MicON_Timer := 0; Timer2.Enabled := false; end; end; end., System.Classes, System.SysUtils, System.UITypes, System.Variants, then... while r do begin r := BASS_RecordSetInput(i, u: DWord): boolean; stdcall; //var level:dword; begin level2:=BASS_ChannelGetLevel(h); LoudEnough := (LoWord(level2) >= threshold) or (, u: DWord): boolean; stdcall; end; var Form1: TForm1; rchan: HRECORD; // recording channel level2: dword; LoudEnough: boolean = F, Vcl.Controls, Vcl.Dialogs, Vcl.ExtCtrls; type TForm1 = class(TForm) Button1: TButton; Button2: TButton; Memo1: TMemo; Timer1: TTimer; ComboBox1:, Vcl.Forms, Vcl.Graphics, Vcl.MPlayer, Vcl.StdCtrls, Winapi.Messages

Mastering Development System & Network

What is the best configuration of a VM for reading large csv files?

Post author By Server Questions
Post date November 25, 2020
No Comments on What is the best configuration of a VM for reading large csv files?

I am working with a database with more than 11 GB. I used a sample from the original data to write my code, but now I need to implement the program on the whole data. On my local computer I can’t perform this operation, so I made a Google Cloud account and set up a […]

Tags '_'). lower ()) for k in df.columns] #pega n random ids ids = random.sample ([k for k in df ['id_company']. unique ()], 'IBGE Subsector': int}) cols = df.columns.to_list () with open ('columns.pkl', 'wb') as handle: pickle.dump (cols, 'wb') as handle: pickle.dump (ids, "Order":"0"}, 115200 earlyprintk=ttyS0, 115200 scsi_mod.use_blk_mq=Y Nov 25 17:05:36 jesse kernel: [ 8127.998723] 152397 pages reserved R11: 0000000000000009 R12: 00000765067e5cbcR_, 115200 scsi_mod.use_blk_mq=Y Nov 25 17:05:36 jesse kernel: [ 8128.007320] [ pid ] uid tgid total_vmsconfirss pgtables_bytes swapents oom, 115200 scsi_mod.use_blk_mq=Y Nov 25 17:05:36 jesse kernel: [ 8128.025581] [ 285] 0 285 5053:90 is275 614400kB (UME0 106*32kB-, 115200 scsi_mod.use_blk_mq=Y Nov 25 17:05:36 jesse kernel: [ 8128.043329] [ 429] 0 429 2372reclai337 53248ges_surp00 hugepage, 115200 scsi_mod.use_blk_mq=Y Nov 25 17:05:36 jesse kernel: [ 8128.098680] [ 492] 106 492 3253:6256kB92 49152 high:12052kB activ, 115200 scsi_mod.use_blk_mq=Y Nov 25 17:05:36 jesse kernel: [ 8128.133203] [ 700] 0 700 4848) 0*16240 77824) 2*64kB0(U) 2*128k, 115200 scsi_mod.use_blk_mq=Y Nov 25 17:05:36 jesse kernel: [ 8128.170252] [ 715] 1000 715 5713ages_f565 81920ges_surp00 hugepage, 115200 scsi_mod.use_blk_mq=Ylk_mq=Y Nov 25 17:05:36 jesse kernel: [ 8128.143954] [ 705] 0 705 1816kB (UM)53 49152M) 18*320B (, 32 GB memory). It is a linux machine and here is the return of the free -h --si command: total used free shared buff / cache available Mem:, BIO0 systemd-journal11UM) 11*512kB (UM) 7*1024kB (UM) 1*2048kB (U) 26*4096kB (M) = 123224kBprintk=ttyS0, but does not run on a 32GB RAM virtual machine? What my code does The code was written in a series of python executables and I use a bash f, but how can it be a memory problem if the program runs on my personal computer that has 8GB of RAM, but now I need to implement the program on the whole data. On my local computer I can't perform this operation, but the idea would be to run the code without sampling. I need all the observations to take the sample of companies to ensure that all compan, dtype = {'CBO Ocupação 2002': str, encoding = 'latin-1', encoding = 'latin-1')) - 1 s = round(n*0.1) #sample size 10% of the data print ("The sample has size {}". format (str(s))) skip = sorted (r, f108 90112(fd 3) f0om systemd. 0 rsyslogd]configB unevictable:0kB isolated(anon):0kB isolated(file):0kB mapped:2048kB dirty:0kB writeback, file-rss:0kB, give me the desired number of companies") from google.cloud import storage from io import StringIO storage_client = storage.Client () bucke, handle, handle) #standards column names df.columns = [unidecode (k.strip (). replace ('', However, I am working with a database with more than 11 GB. I used a sample from the original data to write my code, is classified., n = 1, n_random) print ("I got {} ids" .format (len (id_company))) #save the list of random cnpjs with open ('random_ids.pkl', n-s)) df = pd.read_table (filename, nodemask=(null), now anon-rss:0kB, now.minute)) try: n_random = int(sys.argv[1]) except: raise ValueError("Please, oom_score_adj=0le:68kB inactive_file:180kB unevictable:0kB writepending:0kB present:30408704kB $ Nov 25 17:05:36 jesse kernel: [ 8128.002365], protocol = pickle.HIGHEST_PROTOCOL) Note that this code uses a sample, sep=', shmem-rss:0kBctive_anon:0kB active_file:0kB inactive_file:0kB unevictable:0kB writepending:0kB present:3128552kB managed:306$ Nov 25 17:05:36, skiprows = skip, so I made a Google Cloud account and set up a virtual machine (VM). The machine type is e2-standard-8 (8 vCPU, the VM returns the error: companies.sh: line 5: 792 Killed I checked the /var/log/messages file and it looks like this is a memory problem., whose code is the following: #this code creates a random list of n unique company identifiers from a base of workers. import numpy as np imp

CMS Mastering Development Wordpress

CSP nonces with Cloudflare Workers

Post author By Marcia D.
Post date November 21, 2020
No Comments on CSP nonces with Cloudflare Workers

Like this blog, I use Cloudflare Workers to inject CSP (Content Security Policy) nonce in headers : https://scotthelme.co.uk/csp-nonces-the-easy-way-with-cloudflare-workers/ This is functional. Next, I need to inject the nonce into all script tags. I use this script (in functions.php) : add_filter( ‘script_loader_tag’, ‘add_nonce_to_script’, 10, 3 ); function add_nonce_to_script( $tag, $handle, $source ) { $search = "type=’text/javascript’"; […]

Tags 'add_nonce_to_script', 10, 3 ); function add_nonce_to_script( $tag, handle, I need to inject the nonce into all script tags. I use this script (in functions.php) : add_filter( 'script_loader_tag', I use Cloudflare Workers to inject CSP (Content Security Policy) nonce in headers : https://scotthelme.co.uk/csp-nonces-the-easy-way-with-clo, Like this blog

CMS Mastering Development Wordpress

CSP nonces with Cloudflare Workers

Post author By Marcia D.
Post date November 21, 2020
No Comments on CSP nonces with Cloudflare Workers

Tags 'add_nonce_to_script', "").replace(", $source ) { $search = "type='text/javascript'"; $replace = "type='text/javascript' nonce=''"; $subject = $tag;, $subject); return $output; } The result is not the expected one, 10, 3 ); function add_nonce_to_script( $tag, but I don't know how to correct it : $replace = "type='text/javascript' nonce=''"; Does anyone have an idea ?, handle, I get this kind of code : script type="text/javascript" nonce="<?= html_escape(); ?><![CDATA[html5-dom-document-internal-cdata" Th, I need to inject the nonce into all script tags. I use this script (in functions.php) : add_filter( 'script_loader_tag', I use Cloudflare Workers to inject CSP (Content Security Policy) nonce in headers : https://scotthelme.co.uk/csp-nonces-the-easy-way-with-clo, Like this blog

Mastering Development

Tensorflow with batch size and wrong dimesion

Post author By Full Stack
Post date November 19, 2020
No Comments on Tensorflow with batch size and wrong dimesion

Here are my code: # Model parameters: W and b # tf.reset_default_graph() W = tf.get_variable("weight",shape = [784, 10], dtype=tf.float32) b = tf.get_variable("b", shape=(784,10), dtype= tf.float32) input_X = tf.placeholder(‘float32’, shape = (None,10)) input_y = tf.placeholder(‘float32’, [784, 10]) ogits = W*input_X + b probas = tf.nn.softmax(logits) classes = tf.argmax(probas) loss = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(labels = input_y, logits = logits)) […]

Tags ' 974 'which has shape %r' --> 975 % (np_val.shape, "accuracy") for epoch in range(EPOCHS): # we finish an epoch when we've looked at all training samples batch_losses = [] for b, {input_X: X_train_flat[batch_start:batch_start+BATCH_SIZE], {input_X: X_train_flat})) # this is slow and usually skipped valid_accuracy = accuracy_score(y_val, {input_X: X_val_flat, {input_X: X_val_flat})) simpleTrainingCurves.add(train_loss, 10, 10)' I am new at tensorflow and coursena is what I am learning. Please help me., 10)) input_y = tf.placeholder('float32', 10]) ogits = W*input_X + b probas = tf.nn.softmax(logits) classes = tf.argmax(probas) loss = tf.reduce_mean(tf.nn.softmax_cross_entro, 784), 784) for Tensor 'Placeholder_2:0', batch_loss = s.run([step, BATCH_SIZE): # data is already shuffled _, dtype= tf.float32) input_X = tf.placeholder('float32', dtype=tf.float32) b = tf.get_variable("b", feed_dict, fetches, handle, Here are my code: # Model parameters: W and b # tf.reset_default_graph() W = tf.get_variable("weight", input_y: y_train_oh[batch_start:batch_start+BATCH_SIZE]}) # collect batch losses, input_y: y_val_oh}) # this part is usually small train_accuracy = accuracy_score(y_train, logits = logits)) step = tf.train.AdamOptimizer(loss) s.run(tf.global_variables_initializer()) BATCH_SIZE = 512 EPOCHS = 40 # for logging, loss, OPTIONS, run_metadata) 973 'Cannot feed value of shape %r for Tensor %r, s.run(classes, shape = [784, shape = [None, shape=(784, str(subfeed_t.get_shape()))) 976 if not self.graph.is_feedable(subfeed_t): 977 raise ValueError('Tensor %s may not be fed.' % subfeed_t) Val, subfeed_t.name, this is almost free as we need a forward pass for backprop anyway batch_losses.append(batch_loss) train_loss = np.mean(batch_los, train_accuracy = [], val_loss, valid_accuracy) the error is: /opt/conda/lib/python3.6/site-packages/tensorflow/python/client/session.py in _run(self, which has shape '(?, X_train_flat.shape[0]

CMS Mastering Development Wordpress

How can I load a javascript file that is type=”module” the WordPress way?

Post author By Marcia D.
Post date May 8, 2020
No Comments on How can I load a javascript file that is type=”module” the WordPress way?

Typically, when I am going to load javascript files I load them from my functions.php file using this code: wp_deregister_script(‘site-js’); wp_register_script(‘site-js’, get_stylesheet_directory_uri().’/js/site.js’, array(‘jquery’), ‘0.0.3’, true); wp_enqueue_script(‘site-js’); The other day I had downloaded axios and tried to load it into my wordpress theme. In another javascript file, I was trying import axios like this: import axio […]

Tags '0.0.3', 'add_type_to_script', $source){ if ('ajaxloadmore' === $handle) { $tag = '';, 10, 3); function add_type_to_script($tag, array('jquery'), get_stylesheet_directory_uri().'/js/site.js', handle, I was trying import axios like this: import axio from 'axios' I kept getting this error message: Uncaught SyntaxError: Cannot use import st, true); wp_enqueue_script('site-js'); The other day I had downloaded axios and tried to load it into my wordpress theme. In another javascri, Typically, was that I didnt see type="module" on the script tag when I inspected element. This also didn't seem to fix the error the message. My buddy, when I am going to load javascript files I load them from my functions.php file using this code: wp_deregister_script('site-js'); wp_regist

Mastering Development

How to show the prediction values while the neural-network training is on going

Post author By Full Stack
Post date April 3, 2020
No Comments on How to show the prediction values while the neural-network training is on going

I am training a model to classify the video clips out of the two labels, while the model loss keep the same, so I am wondering the prediction values when traning is going on, I do some trying, then comes the error: Cannot assign a device for operation ‘replica_1_5/model_12/activation_7/Softmax’: Could not satisfy explicit device specification […]

Tags _device="/device:GPU:1"](replica_1_5/model_12/dense_21/BiasAdd)]] During handling of the above exception, --> 900 run_metadata_ptr) 901 if run_metadata: 902 proto_data = tf_session.TF_GetBuffer(run_me, -> 1135 feed_dict_tensor, another exception occurred： ... ... in tf_loss(gen, feed_dict, fetches, final_fetches, final_targets, ground, ground) 110 def tf_loss(gen, ground) 114 C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\client\session.py in run(self, ground) enter image description here, ground): 111 with tf.Session() as sess: --> 112 print(' gen:', ground): with tf.Session() as sess: print(' gen:', handle, I am training a model to classify the video clips out of the two labels, I do some trying, metrics=['accuracy']) def tf_loss(gen, optimizer=Adam(lr=1e-4), OPTIONS, options_ptr, run_metadata) 1133 if final_fetches or final_targets or (handle and feed_dict_tensor): 1134 results = self._do_run(handle, run_metadata) 1136 else: 1137 results = [] ... here is where the error occur: parallel_model.compile(loss=tf_loss, run_metadata) 898 try: 899 result = self._run(None, sess.run(gen), sess.run(ground)) 113 return K.binary_crossentropy(gen, sess.run(ground)) return K.binary_crossentropy(gen, so I am wondering the prediction values when traning is going on, then comes the error: Cannot assign a device for operation 'replica_1_5/model_12/activation_7/Softmax': Could not satisfy explicit device sp, while the model loss keep the same

Mastering Development

How to allow keras model predict function in multiple thread algorithm?

Post author By Full Stack
Post date March 18, 2020
No Comments on How to allow keras model predict function in multiple thread algorithm?

I’m trying to train a reinforcement learning(RL) agent on a custom environment. My RL agent is the stable baseline implementation of the DDPG algorithm. It uses multiple threads for training. One of the arguments for this agent is an environment, which is implemented according to Open AI gym custom environment interface. My environment needs to […]

Tags --> 950 run_metadata_ptr) 951 if run_metadata: 952 proto_data = tf_session.TF_GetBuffer(run_me, -> 1078 callbacks=callbacks) 1079 1080 def reset_metrics(self): /usr/local/lib/python3.6/dist-packages/tensorflow/python/, 'metrics'): 1083 for m in self.metrics: -> 1084 m.reset_states() 1085 1086 # Reset the state of loss metric wrapp, {"mode", **kwargs) 248 # Setup work for each epoch 249 epoch_logs = {} --> 250 model.reset_metrics() 251 if mode == ModeKe, #verbose=1, 0) for v in self.variables]) 200 201 @abc.abstractmethod /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/backend.p, 1)) k = np.argmax(self.model2.predict(test)) print(k) # for some reason in a flask app the graph/session needs to be used in the, 1))) 133 print("predict is good") 134 if x_orig_normed is None : in predict(self, 1))) The DDPG algorithm as follows : from stable_baselines.ddpg.policies import MlpPolicy from stable_baselines import DDPG model_ddpg = D, 1077 steps=steps, 28, action_noise=action_noise) ---> 15 model_ddpg.learn(total_timesteps=10) 16 model_ddpg.save(root_dir + "ddpg_mnist_BA") 17 /usr/lo, action_noise=action_noise) model_ddpg.learn(total_timesteps=10) And when running this getting following error: ----------------------------, action) 109 x_candidate = generate_sample(self.x_orig) --> 110 label_candidate, action) 44 45 def step(self, action) 893 --> 894 new_obs, action): ---> 46 self._BA_step(action) 47 48 #observation update, allow_operation) 3795 with self._lock: -> 3796 return self._as_graph_element_locked(obj, allow_operation) 3797 /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py in _as_graph_element_locked(self, allow_operation) 3874 if obj.graph is not self: -> 3875 raise ValueError("Tensor %s is not an element of this graph." % obj), allow_operation=False) 1114 except Exception as e: 14 frames /usr/local/lib/python3.6/dist-packages/tensorflow/python/framewor, allow_tensor, allow_tensor=True, another exception occurred: TypeError Traceback (most recent call last) in, batch_size, callBack, callbacks, dist_candidate = self._predict_sample(self.model, done., dtype=float32) is not an element of this graph. During handling of the above exception, dtype=float32) is not an element of this graph. So when passing this environment to the DDPG algorithm i'm getting problems because multiple, env, epoch_logs) /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py in reset_metrics(self) 1082 if hasattr(, epochs, feed_dict, feed_dict=feed_dict) 3072 3073 /usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py in run(self, fetches, handle, I'm trying to train a reinforcement learning(RL) agent on a custom environment. My RL agent is the stable baseline implementation of the DDPG, Implementing this as suggested on other keras threading stackoverflow topics was creating a graph and calling the model2._make_predict_functi, in _BA_step(self, info = self.env.step(unscaled_action) 895 896 self.num_timesteps += 1 i, initial_epoch, inputs, log_interval, max_queue_size, model, obj, ops.Tensor): TypeError: Cannot interpret feed_dict key as Tensor: Tensor Tensor("Placeholder_25:0", OPTIONS, options_ptr, param_noise=param_noise, prepared_feed_values_from_dataset, replay_wrapper) 892 unscaled_action = unscale_action(self.action_space, reset_num_timesteps, reward, run_metadata) 1112 subfeed_t = self.graph.as_graph_element( -> 1113 subfeed, run_metadata) 1114 except Exception as e: 1115 raise TypeError( -> 1116 'Cannot interpret feed_di, run_metadata) 948 try: 949 result = self._run(None, sample_weights, self.x_orig) in _predict_sample(self, shape=(), shuffle, steps, steps_name, steps_per_epoch, target) = get_target(model) test = np.zeros(shape=(1, targets, tb_log_name, total_timesteps, use_multiprocessing) 1076 verbose=verbose, val_inputs, val_sample_weights, val_targets, validation_freq, validation_in_fit, validation_steps, verbose, which is implemented according to Open AI gym custom environment interface. My environment needs to be able to predict something using Keras(, workers, X, x_candidate, x_orig_normed) 130 # nn = NeuralNetwork() 131 --> 132 lbl = np.argmax(model.predict(x.reshape(1, x) 29 self.model2._make_predict_function() 30 ---> 31 y = self.model2.predict(x) 32 return y /usr/local/lib/pyth, x): self.model2._make_predict_function() with self.graph.as_default(): with self.session.as_default(): print("seems ok

Mastering Development

This client-server minigame won’t restart itself

Post author By Full Stack
Post date March 15, 2020
No Comments on This client-server minigame won’t restart itself

A friend and I have completed a client-server minigame in the C language for an exam on Unix advanced programming. We are setting an alarm() and when this guy finishes, we capture it with signal() and we’ve made a function to read such signal and restart the server. But what happens all the time is […]

Tags (struct sockaddr)&client_addr, (void *)c_fd); pthread_detach(tid); serverLog(inet_ntoa(client_addr.sin_addr)); }, *c_fd); pthread_create(&tid, &client_len)) < 0) perror("accept error nel server \a\n"), 0); perror("Errore nel restarting del server.\n"); exit(EXIT_FAILURE); } "Nuova Connessione = New connection" Start.sh is a simple script co, A friend and I have completed a client-server minigame in the C language for an exam on Unix advanced programming. We are setting an alarm(), but the error keeps coming up. PS: The entire mini-game works, even with up to 10 clients. Here is partial code: void restartServerAlarm(int numSegnale){ printf("Riavvio del server in corso...\n"); unlin, exit(1); printf("Server: Nuova connessione da [%d] \n", handle, null, posizioneGiocatori); //Tutte le altre strutture sono statiche sleep(10); execl("./start.sh", we capture it with signal() and we've made a function to read such signal and restart the server. But what happens all the time is that the s