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p2p | peer file sharing server in C , and client

 by   huangyingcai Java Version: Current License: No License

 by   huangyingcai Java Version: Current License: No License

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kandi X-RAY | p2p Summary

p2p is a Java library typically used in Networking applications. p2p has no bugs and it has high support. However p2p has 2 vulnerabilities and it build file is not available. You can download it from GitHub.
A peer-to-peer file sharing server written in C, and client written in Java. Developed in collaboration with Justin Hill (https://github.com/justindhill). p2p utilizes my base TCP server (https://github.com/mdlayher/tcpd) as well as the Apache Commons Codec (http://commons.apache.org/codec/) in order to facilitate the C server component. p2p uses a centralized directory server approach. Clients connect to the central server in order to retrieve a list of files which exist among peers in the network. Once a client requests to download a file, the connection is negotiated between peers, and the client can begin to download the file.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • p2p has a highly active ecosystem.
  • It has 38 star(s) with 30 fork(s). There are 8 watchers for this library.
  • It had no major release in the last 12 months.
  • p2p has no issues reported. There are no pull requests.
  • It has a negative sentiment in the developer community.
  • The latest version of p2p is current.
p2p Support
Best in #Java
Average in #Java
p2p Support
Best in #Java
Average in #Java

quality kandi Quality

  • p2p has 0 bugs and 0 code smells.
p2p Quality
Best in #Java
Average in #Java
p2p Quality
Best in #Java
Average in #Java

securitySecurity

  • p2p has 2 vulnerability issues reported (0 critical, 1 high, 1 medium, 0 low).
  • p2p code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
p2p Security
Best in #Java
Average in #Java
p2p Security
Best in #Java
Average in #Java

license License

  • p2p does not have a standard license declared.
  • Check the repository for any license declaration and review the terms closely.
  • Without a license, all rights are reserved, and you cannot use the library in your applications.
p2p License
Best in #Java
Average in #Java
p2p License
Best in #Java
Average in #Java

buildReuse

  • p2p releases are not available. You will need to build from source code and install.
  • p2p has no build file. You will be need to create the build yourself to build the component from source.
  • p2p saves you 2275 person hours of effort in developing the same functionality from scratch.
  • It has 4971 lines of code, 444 functions and 54 files.
  • It has high code complexity. Code complexity directly impacts maintainability of the code.
p2p Reuse
Best in #Java
Average in #Java
p2p Reuse
Best in #Java
Average in #Java
Top functions reviewed by kandi - BETA

kandi has reviewed p2p and discovered the below as its top functions. This is intended to give you an instant insight into p2p implemented functionality, and help decide if they suit your requirements.

  • Main entry point for testing .
    • metaphone string
      • Main loop .
        • Converts the given string to doubleMetaphone .
          • Convert a regex pattern to a regex pattern .
            • Converts the specified text to Cologne Cologne .
              • Decodes bytes .
                • Load language rules from a resource file .
                  • Reads bytes from a byte array into a byte array .
                    • This method is called recursively after all the rules have been applied .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      p2p Key Features

                      A peer-to-peer file sharing server written in C, and client written in Java.

                      pyQiwiP2P pay_sources: list[str] = None

                      copy iconCopydownload iconDownload
                              pay_sources: list[str] = None,
                      
                              pay_sources: typing.List[str] = None,
                      
                              pay_sources: typing.Union[typing.List[str], None] = None,
                      
                      >>> def test(a: list[str]):
                      ...     pass
                      ...
                      Traceback (most recent call last):
                        File "<stdin>", line 1, in <module>
                      TypeError: 'type' object is not subscriptable
                      
                              pay_sources: list[str] = None,
                      
                              pay_sources: typing.List[str] = None,
                      
                              pay_sources: typing.Union[typing.List[str], None] = None,
                      
                      >>> def test(a: list[str]):
                      ...     pass
                      ...
                      Traceback (most recent call last):
                        File "<stdin>", line 1, in <module>
                      TypeError: 'type' object is not subscriptable
                      
                              pay_sources: list[str] = None,
                      
                              pay_sources: typing.List[str] = None,
                      
                              pay_sources: typing.Union[typing.List[str], None] = None,
                      
                      >>> def test(a: list[str]):
                      ...     pass
                      ...
                      Traceback (most recent call last):
                        File "<stdin>", line 1, in <module>
                      TypeError: 'type' object is not subscriptable
                      
                              pay_sources: list[str] = None,
                      
                              pay_sources: typing.List[str] = None,
                      
                              pay_sources: typing.Union[typing.List[str], None] = None,
                      
                      >>> def test(a: list[str]):
                      ...     pass
                      ...
                      Traceback (most recent call last):
                        File "<stdin>", line 1, in <module>
                      TypeError: 'type' object is not subscriptable
                      

                      Retrofit OkHttp - &quot;unexpected end of stream&quot;

                      copy iconCopydownload iconDownload
                      interface ApiServiceInterface {
                      
                          companion object Factory{
                      
                              fun create(): ApiServiceInterface {
                                  val interceptor = HttpLoggingInterceptor()
                                  interceptor.level = HttpLoggingInterceptor.Level.BODY
                                  
                                  val stringInterceptor = Interceptor { chain: Interceptor.Chain ->
                                      val request = chain.request()
                                      val response = chain.proceed(request)
                                      val source = response.body()?.source()
                                      source?.request(Long.MAX_VALUE)
                                      val buffer = source?.buffer()
                                      var responseString = buffer?.clone()?.readString(Charset.forName("UTF-8"))
                                      if (responseString != null && responseString.length > 2) {
                                          val lastTwo = responseString.takeLast(2)
                                          if (lastTwo != "}}") {
                                              val lastOne = responseString.takeLast(1)
                                              responseString = if (lastOne != "}") {
                                                  "$responseString}}"
                                              } else {
                                                  "$responseString}"
                                              }
                                          }
                                      }
                                      val contentType = response.body()?.contentType()
                                      val body = ResponseBody.create(contentType, responseString ?: "")
                                      return@Interceptor response.newBuilder().body(body).build()
                                  }
                      
                                  val client = OkHttpClient.Builder()
                                      .connectTimeout(30, TimeUnit.SECONDS)
                                      .writeTimeout(30, TimeUnit.SECONDS)
                                      .readTimeout(30,TimeUnit.SECONDS)
                                      .addInterceptor(interceptor)
                                      .addInterceptor(stringInterceptor)
                                      .retryOnConnectionFailure(true)
                                      .connectionPool(ConnectionPool(0, 5, TimeUnit.MINUTES))
                                      .protocols(listOf(Protocol.HTTP_1_1))
                                      .build()
                                  val gson = GsonBuilder().create()
                                  val retrofit = Retrofit.Builder()
                                      .addCallAdapterFactory(CoroutineCallAdapterFactory())
                                      .addConverterFactory(GsonConverterFactory.create(gson))
                                      .addConverterFactory(ScalarsConverterFactory.create())
                                      .baseUrl("http://3.124.6.203:5000")
                                      .client(client)
                                      .build()
                                  return retrofit.create(ApiServiceInterface::class.java)
                              }
                          }
                      
                      
                          @Headers("Content-type: application/json", "Connection: close", "Accept-Encoding: identity")
                          @POST("/")
                          fun requestAsync(@Body data: JsonObject): Deferred<Response>
                      }
                      

                      How can I use Tensorflow.Checkpoint to recover a previously trained net

                      copy iconCopydownload iconDownload
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      : DataSet
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      DATA = adding_array_DATA(DATA, action, reward, gamescores, step)
                      
                      dataset = tf.data.Dataset.from_tensor_slices((tf.constant(DATA, dtype=tf.float32),tf.constant(np.reshape(0, (1, 1, 1, 1)))))
                      batched_features = dataset
                      
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      : Model Initialize
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      model = tf.keras.models.Sequential([
                          tf.keras.layers.InputLayer(input_shape=(1200, 1)),
                          tf.keras.layers.Bidirectional(tf.keras.layers.LSTM(128, return_sequences=True, return_state=False)),
                          tf.keras.layers.Bidirectional(tf.keras.layers.LSTM(128)),
                      ])
                              
                      model.add(layers.Flatten())
                      model.add(layers.Dense(64))
                      model.add(layers.Dense(2))
                      model.summary()
                      
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      : Callback
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      cp_callback = tf.keras.callbacks.ModelCheckpoint(checkpoint_dir, monitor='val_loss', 
                                                      verbose=0, save_best_only=True, mode='min' )
                                                      
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      : Optimizer
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      optimizer = tf.keras.optimizers.Nadam(
                          learning_rate=0.0001, beta_1=0.9, beta_2=0.999, epsilon=1e-07,
                          name='Nadam'
                      ) # 0.00001
                      
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      : Loss Fn
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""                               
                      # 1
                      lossfn = tf.keras.losses.MeanSquaredLogarithmicError(reduction=tf.keras.losses.Reduction.AUTO, name='mean_squared_logarithmic_error')
                      # 2
                      # lossfn = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      : Model Summary
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      model.compile(optimizer=optimizer, loss=lossfn, metrics=['accuracy'])
                      
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      : Training
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      history = model.fit(batched_features, epochs=1 ,validation_data=(batched_features), callbacks=[cp_callback]) # epochs=500 # , callbacks=[cp_callback, tb_callback]
                      
                      checkpoint = tf.train.Checkpoint(model)
                      checkpoint.restore(checkpoint_dir)
                      
                      input('...')
                      
                      2022-03-08 10:33:06.965274: I tensorflow/stream_executor/cuda/cuda_dnn.cc:368] Loaded cuDNN version 8100
                      1/1 [==============================] - ETA: 0s - **loss: 0.0154** - accuracy: 0.0000e+002022-03-08 10:33:16.175845: W tensorflow/python/util/util.cc:368] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them.
                      1/1 [==============================] - 31s 31s/step - **loss: 0.0154** - accuracy: 0.0000e+00 - val_loss: 0.0074 - val_accuracy: 0.0000e+00
                      ...
                      
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      : DataSet
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      DATA = adding_array_DATA(DATA, action, reward, gamescores, step)
                      
                      dataset = tf.data.Dataset.from_tensor_slices((tf.constant(DATA, dtype=tf.float32),tf.constant(np.reshape(0, (1, 1, 1, 1)))))
                      batched_features = dataset
                      
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      : Model Initialize
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      model = tf.keras.models.Sequential([
                          tf.keras.layers.InputLayer(input_shape=(1200, 1)),
                          tf.keras.layers.Bidirectional(tf.keras.layers.LSTM(128, return_sequences=True, return_state=False)),
                          tf.keras.layers.Bidirectional(tf.keras.layers.LSTM(128)),
                      ])
                              
                      model.add(layers.Flatten())
                      model.add(layers.Dense(64))
                      model.add(layers.Dense(2))
                      model.summary()
                      
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      : Callback
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      cp_callback = tf.keras.callbacks.ModelCheckpoint(checkpoint_dir, monitor='val_loss', 
                                                      verbose=0, save_best_only=True, mode='min' )
                                                      
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      : Optimizer
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      optimizer = tf.keras.optimizers.Nadam(
                          learning_rate=0.0001, beta_1=0.9, beta_2=0.999, epsilon=1e-07,
                          name='Nadam'
                      ) # 0.00001
                      
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      : Loss Fn
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""                               
                      # 1
                      lossfn = tf.keras.losses.MeanSquaredLogarithmicError(reduction=tf.keras.losses.Reduction.AUTO, name='mean_squared_logarithmic_error')
                      # 2
                      # lossfn = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      : Model Summary
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      model.compile(optimizer=optimizer, loss=lossfn, metrics=['accuracy'])
                      
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      : Training
                      """""""""""""""""""""""""""""""""""""""""""""""""""""""""
                      history = model.fit(batched_features, epochs=1 ,validation_data=(batched_features), callbacks=[cp_callback]) # epochs=500 # , callbacks=[cp_callback, tb_callback]
                      
                      checkpoint = tf.train.Checkpoint(model)
                      checkpoint.restore(checkpoint_dir)
                      
                      input('...')
                      
                      2022-03-08 10:33:06.965274: I tensorflow/stream_executor/cuda/cuda_dnn.cc:368] Loaded cuDNN version 8100
                      1/1 [==============================] - ETA: 0s - **loss: 0.0154** - accuracy: 0.0000e+002022-03-08 10:33:16.175845: W tensorflow/python/util/util.cc:368] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them.
                      1/1 [==============================] - 31s 31s/step - **loss: 0.0154** - accuracy: 0.0000e+00 - val_loss: 0.0074 - val_accuracy: 0.0000e+00
                      ...
                      

                      Extract payload from NDEF message

                      copy iconCopydownload iconDownload
                      // Get the first record
                      NdefRecord record = msg.getRecord(0);
                      // Get the payload size
                      byte length = record.getPayloadLength();
                      // Create byte array big enough for payload
                      byte payload[length];
                      // Get payload to byte array
                      record.getPayload(payload);
                      // Convert byte Array to string
                      String string = String((char *)payload);
                      
                      

                      Run two instances of same Electron app locally at same time

                      copy iconCopydownload iconDownload
                          "config": {
                              "forge": {
                                "packagerConfig": {
                                  "name": "Electron starter",
                                  "executableName": "electron-starter",
                                  "icon": "assets/icon",
                                  "extraResource": [
                                    "assets"
                                  ]
                                },
                                "plugins": [
                                  [
                                    "@electron-forge/plugin-webpack",
                                    {
                                        //Your code goes here to specify a new port and loggerPort
                                        "port": "3001",
                                        "loggerPort": "9001",
                                    
                                      "mainConfig": "./webpack/main.webpack.js",
                      
                                      //More config options...
                      
                      

                      Video element didn't show up after successfully getting local stream WebRTC

                      copy iconCopydownload iconDownload
                      localStreamObj.stream = media;
                      setLocalStreamObj(localStreamObj);
                      
                      const mediaStream = {
                         stream: media
                      }
                      setLocalStreamObj(mediaStream);
                      
                      localStreamObj.stream = media;
                      setLocalStreamObj(localStreamObj);
                      
                      const mediaStream = {
                         stream: media
                      }
                      setLocalStreamObj(mediaStream);
                      

                      Trouble dereferencing ip and port from socket pointer

                      copy iconCopydownload iconDownload
                      int P2PServer::socketReceiveHandler(int s) {
                          struct sockaddr_in addr;
                          
                          char buffer[1024] = {0};
                          int reader;
                          reader = read(s, buffer, 1024);
                          if (reader <= 0)
                              return 0;
                      
                          socklen_t len;
                          len = sizeof(addr);
                          getpeername(s, (struct sockaddr*)&addr, &len);
                          std::cout << "Connection from: " 
                                    << inet_ntoa(addr.sin_addr) 
                                    << " : " 
                                    << ntohs(addr.sin_port) << std::endl;
                      
                          char const* message = "I am an amazing server!";
                          std::cout << "received: " << buffer << std::endl; 
                          send(s, message, strlen(message) , 0 );
                          printf("Server : Message has been sent ! \n");
                      
                          if (close(s) == -1) {
                              p2putils::logit("Close problems");
                              std::cout << "errno: " << errno << std::endl;
                          }
                          
                          return 0;
                      }
                      
                      P2P Server: 127.0.0.1 is listening on PORT: 10001
                       
                      
                      Waiting for incoming connections...
                      Connection from: 127.0.0.1 : 58560
                      
                      int P2PServer::socketReceiveHandler(int s) {
                          struct sockaddr_in addr;
                          
                          char buffer[1024] = {0};
                          int reader;
                          reader = read(s, buffer, 1024);
                          if (reader <= 0)
                              return 0;
                      
                          socklen_t len;
                          len = sizeof(addr);
                          getpeername(s, (struct sockaddr*)&addr, &len);
                          std::cout << "Connection from: " 
                                    << inet_ntoa(addr.sin_addr) 
                                    << " : " 
                                    << ntohs(addr.sin_port) << std::endl;
                      
                          char const* message = "I am an amazing server!";
                          std::cout << "received: " << buffer << std::endl; 
                          send(s, message, strlen(message) , 0 );
                          printf("Server : Message has been sent ! \n");
                      
                          if (close(s) == -1) {
                              p2putils::logit("Close problems");
                              std::cout << "errno: " << errno << std::endl;
                          }
                          
                          return 0;
                      }
                      
                      P2P Server: 127.0.0.1 is listening on PORT: 10001
                       
                      
                      Waiting for incoming connections...
                      Connection from: 127.0.0.1 : 58560
                      

                      Putting json.loads response inside of dataclasses

                      copy iconCopydownload iconDownload
                      from dataclasses import dataclass
                      from typing import List
                      
                      from dataclass_wizard import JSONWizard
                      
                      
                      @dataclass
                      class TakerPays:
                          currency: str
                          issuer: str
                          value: str
                      
                      
                      @dataclass
                      class Offers:
                          account: str
                          book_directory: str
                          book_node: str
                          flags: int
                          ledger_entry_type: str
                          owner_node: str
                          previous_txn_id: str
                          previous_txn_lgr_seq: int
                          sequence: int
                          taker_gets: str
                          taker_pays: TakerPays
                          index: str
                          owner_funds: str
                          quality: str
                      
                      
                      @dataclass
                      class Warnings:
                          id: int
                          message: str
                      
                      
                      @dataclass
                      class Result:
                          ledger_hash: str
                          ledger_index: int
                          offers: List[Offers]
                          validated: bool
                          warnings: List[Warnings]
                      
                      
                      @dataclass
                      class Response(JSONWizard):
                          id: int
                          result: Result
                          status: str
                          type: str
                      
                      
                      def main():
                          string = r"""
                          {
                            "id": 4,
                            "result": {
                              "ledger_hash": "5848C7DB5024EC3B532AC2F93BA8086A3D6281D3C0746BFE62E7E3CF4853F663",
                              "ledger_index": 68379996,
                              "offers": [
                                {
                                  "Account": "rPbMHxs7vy5t6e19tYfqG7XJ6Fog8EPZLk",
                                  "BookDirectory": "DFA3B6DDAB58C7E8E5D944E736DA4B7046C30E4F460FD9DE4E1D157637A1048F",
                                  "BookNode": "0",
                                  "Flags": 0,
                                  "LedgerEntryType": "Offer",
                                  "OwnerNode": "0",
                                  "PreviousTxnID": "72B8928E31DF89223C7ADE0030685289BAD772C72DF23DDFFB92FF7B48BAC622",
                                  "PreviousTxnLgrSeq": 68379985,
                                  "Sequence": 386826,
                                  "TakerGets": "789784836",
                                  "TakerPays": {
                                    "currency": "USD",
                                    "issuer": "rvYAfWj5gh67oV6fW32ZzP3Aw4Eubs59B",
                                    "value": "646.5472316"
                                  },
                                  "index": "82F565EDEF8661D7D9C92A75E2F0F5DBF2BAAFAE96A5A5A768AD76B933016031",
                                  "owner_funds": "4587408572",
                                  "quality": "0.0000008186371808232591"
                                }
                              ],
                              "validated": true,
                              "warnings": [
                                {
                                  "id": 1004,
                                  "message": "This is a reporting server.  The default behavior of a reporting server is to only return validated data. If you are looking for not yet validated data, include \"ledger_index : current\" in your request, which will cause this server to forward the request to a p2p node. If the forward is successful the response will include \"forwarded\" : \"true\""
                                }
                              ]
                            },
                            "status": "success",
                            "type": "response"
                          }
                          """
                      
                          r = Response.from_json(string)
                          print(repr(r))
                      
                      
                      if __name__ == '__main__':
                          main()
                      
                      Response(id=4, result=Result(ledger_hash='5848C7DB5024EC3B532AC2F93BA8086A3D6281D3C0746BFE62E7E3CF4853F663', ledger_index=68379996, offers=[Offers(account='rPbMHxs7vy5t6e19tYfqG7XJ6Fog8EPZLk', book_directory='DFA3B6DDAB58C7E8E5D944E736DA4B7046C30E4F460FD9DE4E1D157637A1048F', book_node='0', flags=0, ledger_entry_type='Offer', owner_node='0', previous_txn_id='72B8928E31DF89223C7ADE0030685289BAD772C72DF23DDFFB92FF7B48BAC622', previous_txn_lgr_seq=68379985, sequence=386826, taker_gets='789784836', taker_pays=TakerPays(currency='USD', issuer='rvYAfWj5gh67oV6fW32ZzP3Aw4Eubs59B', value='646.5472316'), index='82F565EDEF8661D7D9C92A75E2F0F5DBF2BAAFAE96A5A5A768AD76B933016031', owner_funds='4587408572', quality='0.0000008186371808232591')], validated=True, warnings=[Warnings(id=1004, message='This is a reporting server.  The default behavior of a reporting server is to only return validated data. If you are looking for not yet validated data, include "ledger_index : current" in your request, which will cause this server to forward the request to a p2p node. If the forward is successful the response will include "forwarded" : "true"')]), status='success', type='response')
                      
                      from dataclass_wizard import json_key
                      # Note: In Python 3.9+ you can import this from `typing` instead
                      from typing_extensions import Annotated  
                      
                      @dataclass
                      class Offers:
                          ...
                          previous_tx_id: Annotated[str, json_key('PreviousTxnID')]
                          previous_tx_lgr_seq: Annotated[int, json_key('PreviousTxnLgrSeq')]
                          ...
                      
                      from dataclasses import dataclass
                      from typing import List
                      
                      from dataclass_wizard import JSONWizard
                      
                      
                      @dataclass
                      class TakerPays:
                          currency: str
                          issuer: str
                          value: str
                      
                      
                      @dataclass
                      class Offers:
                          account: str
                          book_directory: str
                          book_node: str
                          flags: int
                          ledger_entry_type: str
                          owner_node: str
                          previous_txn_id: str
                          previous_txn_lgr_seq: int
                          sequence: int
                          taker_gets: str
                          taker_pays: TakerPays
                          index: str
                          owner_funds: str
                          quality: str
                      
                      
                      @dataclass
                      class Warnings:
                          id: int
                          message: str
                      
                      
                      @dataclass
                      class Result:
                          ledger_hash: str
                          ledger_index: int
                          offers: List[Offers]
                          validated: bool
                          warnings: List[Warnings]
                      
                      
                      @dataclass
                      class Response(JSONWizard):
                          id: int
                          result: Result
                          status: str
                          type: str
                      
                      
                      def main():
                          string = r"""
                          {
                            "id": 4,
                            "result": {
                              "ledger_hash": "5848C7DB5024EC3B532AC2F93BA8086A3D6281D3C0746BFE62E7E3CF4853F663",
                              "ledger_index": 68379996,
                              "offers": [
                                {
                                  "Account": "rPbMHxs7vy5t6e19tYfqG7XJ6Fog8EPZLk",
                                  "BookDirectory": "DFA3B6DDAB58C7E8E5D944E736DA4B7046C30E4F460FD9DE4E1D157637A1048F",
                                  "BookNode": "0",
                                  "Flags": 0,
                                  "LedgerEntryType": "Offer",
                                  "OwnerNode": "0",
                                  "PreviousTxnID": "72B8928E31DF89223C7ADE0030685289BAD772C72DF23DDFFB92FF7B48BAC622",
                                  "PreviousTxnLgrSeq": 68379985,
                                  "Sequence": 386826,
                                  "TakerGets": "789784836",
                                  "TakerPays": {
                                    "currency": "USD",
                                    "issuer": "rvYAfWj5gh67oV6fW32ZzP3Aw4Eubs59B",
                                    "value": "646.5472316"
                                  },
                                  "index": "82F565EDEF8661D7D9C92A75E2F0F5DBF2BAAFAE96A5A5A768AD76B933016031",
                                  "owner_funds": "4587408572",
                                  "quality": "0.0000008186371808232591"
                                }
                              ],
                              "validated": true,
                              "warnings": [
                                {
                                  "id": 1004,
                                  "message": "This is a reporting server.  The default behavior of a reporting server is to only return validated data. If you are looking for not yet validated data, include \"ledger_index : current\" in your request, which will cause this server to forward the request to a p2p node. If the forward is successful the response will include \"forwarded\" : \"true\""
                                }
                              ]
                            },
                            "status": "success",
                            "type": "response"
                          }
                          """
                      
                          r = Response.from_json(string)
                          print(repr(r))
                      
                      
                      if __name__ == '__main__':
                          main()
                      
                      Response(id=4, result=Result(ledger_hash='5848C7DB5024EC3B532AC2F93BA8086A3D6281D3C0746BFE62E7E3CF4853F663', ledger_index=68379996, offers=[Offers(account='rPbMHxs7vy5t6e19tYfqG7XJ6Fog8EPZLk', book_directory='DFA3B6DDAB58C7E8E5D944E736DA4B7046C30E4F460FD9DE4E1D157637A1048F', book_node='0', flags=0, ledger_entry_type='Offer', owner_node='0', previous_txn_id='72B8928E31DF89223C7ADE0030685289BAD772C72DF23DDFFB92FF7B48BAC622', previous_txn_lgr_seq=68379985, sequence=386826, taker_gets='789784836', taker_pays=TakerPays(currency='USD', issuer='rvYAfWj5gh67oV6fW32ZzP3Aw4Eubs59B', value='646.5472316'), index='82F565EDEF8661D7D9C92A75E2F0F5DBF2BAAFAE96A5A5A768AD76B933016031', owner_funds='4587408572', quality='0.0000008186371808232591')], validated=True, warnings=[Warnings(id=1004, message='This is a reporting server.  The default behavior of a reporting server is to only return validated data. If you are looking for not yet validated data, include "ledger_index : current" in your request, which will cause this server to forward the request to a p2p node. If the forward is successful the response will include "forwarded" : "true"')]), status='success', type='response')
                      
                      from dataclass_wizard import json_key
                      # Note: In Python 3.9+ you can import this from `typing` instead
                      from typing_extensions import Annotated  
                      
                      @dataclass
                      class Offers:
                          ...
                          previous_tx_id: Annotated[str, json_key('PreviousTxnID')]
                          previous_tx_lgr_seq: Annotated[int, json_key('PreviousTxnLgrSeq')]
                          ...
                      
                      from dataclasses import dataclass
                      from typing import List
                      
                      from dataclass_wizard import JSONWizard
                      
                      
                      @dataclass
                      class TakerPays:
                          currency: str
                          issuer: str
                          value: str
                      
                      
                      @dataclass
                      class Offers:
                          account: str
                          book_directory: str
                          book_node: str
                          flags: int
                          ledger_entry_type: str
                          owner_node: str
                          previous_txn_id: str
                          previous_txn_lgr_seq: int
                          sequence: int
                          taker_gets: str
                          taker_pays: TakerPays
                          index: str
                          owner_funds: str
                          quality: str
                      
                      
                      @dataclass
                      class Warnings:
                          id: int
                          message: str
                      
                      
                      @dataclass
                      class Result:
                          ledger_hash: str
                          ledger_index: int
                          offers: List[Offers]
                          validated: bool
                          warnings: List[Warnings]
                      
                      
                      @dataclass
                      class Response(JSONWizard):
                          id: int
                          result: Result
                          status: str
                          type: str
                      
                      
                      def main():
                          string = r"""
                          {
                            "id": 4,
                            "result": {
                              "ledger_hash": "5848C7DB5024EC3B532AC2F93BA8086A3D6281D3C0746BFE62E7E3CF4853F663",
                              "ledger_index": 68379996,
                              "offers": [
                                {
                                  "Account": "rPbMHxs7vy5t6e19tYfqG7XJ6Fog8EPZLk",
                                  "BookDirectory": "DFA3B6DDAB58C7E8E5D944E736DA4B7046C30E4F460FD9DE4E1D157637A1048F",
                                  "BookNode": "0",
                                  "Flags": 0,
                                  "LedgerEntryType": "Offer",
                                  "OwnerNode": "0",
                                  "PreviousTxnID": "72B8928E31DF89223C7ADE0030685289BAD772C72DF23DDFFB92FF7B48BAC622",
                                  "PreviousTxnLgrSeq": 68379985,
                                  "Sequence": 386826,
                                  "TakerGets": "789784836",
                                  "TakerPays": {
                                    "currency": "USD",
                                    "issuer": "rvYAfWj5gh67oV6fW32ZzP3Aw4Eubs59B",
                                    "value": "646.5472316"
                                  },
                                  "index": "82F565EDEF8661D7D9C92A75E2F0F5DBF2BAAFAE96A5A5A768AD76B933016031",
                                  "owner_funds": "4587408572",
                                  "quality": "0.0000008186371808232591"
                                }
                              ],
                              "validated": true,
                              "warnings": [
                                {
                                  "id": 1004,
                                  "message": "This is a reporting server.  The default behavior of a reporting server is to only return validated data. If you are looking for not yet validated data, include \"ledger_index : current\" in your request, which will cause this server to forward the request to a p2p node. If the forward is successful the response will include \"forwarded\" : \"true\""
                                }
                              ]
                            },
                            "status": "success",
                            "type": "response"
                          }
                          """
                      
                          r = Response.from_json(string)
                          print(repr(r))
                      
                      
                      if __name__ == '__main__':
                          main()
                      
                      Response(id=4, result=Result(ledger_hash='5848C7DB5024EC3B532AC2F93BA8086A3D6281D3C0746BFE62E7E3CF4853F663', ledger_index=68379996, offers=[Offers(account='rPbMHxs7vy5t6e19tYfqG7XJ6Fog8EPZLk', book_directory='DFA3B6DDAB58C7E8E5D944E736DA4B7046C30E4F460FD9DE4E1D157637A1048F', book_node='0', flags=0, ledger_entry_type='Offer', owner_node='0', previous_txn_id='72B8928E31DF89223C7ADE0030685289BAD772C72DF23DDFFB92FF7B48BAC622', previous_txn_lgr_seq=68379985, sequence=386826, taker_gets='789784836', taker_pays=TakerPays(currency='USD', issuer='rvYAfWj5gh67oV6fW32ZzP3Aw4Eubs59B', value='646.5472316'), index='82F565EDEF8661D7D9C92A75E2F0F5DBF2BAAFAE96A5A5A768AD76B933016031', owner_funds='4587408572', quality='0.0000008186371808232591')], validated=True, warnings=[Warnings(id=1004, message='This is a reporting server.  The default behavior of a reporting server is to only return validated data. If you are looking for not yet validated data, include "ledger_index : current" in your request, which will cause this server to forward the request to a p2p node. If the forward is successful the response will include "forwarded" : "true"')]), status='success', type='response')
                      
                      from dataclass_wizard import json_key
                      # Note: In Python 3.9+ you can import this from `typing` instead
                      from typing_extensions import Annotated  
                      
                      @dataclass
                      class Offers:
                          ...
                          previous_tx_id: Annotated[str, json_key('PreviousTxnID')]
                          previous_tx_lgr_seq: Annotated[int, json_key('PreviousTxnLgrSeq')]
                          ...
                      

                      How Ethereum protocol works with geth

                      copy iconCopydownload iconDownload
                      geth --bootnodes enode://pubkey1@ip1:port1,enode://pubkey2@ip2:port2,enode://pubkey3@ip3:port3
                      

                      Flutter - firebase FCM messages not working on Testflight release builds at all

                      copy iconCopydownload iconDownload
                      func application(_ application: UIApplication,
                      didRegisterForRemoteNotificationsWithDeviceToken deviceToken: Data) {
                          let token = deviceToken.map { String(format: "%02.2hhx", $0) }.joined()
                          
                          print("APNs Device Token: \(token)")
                          Messaging.messaging().apnsToken = deviceToken
                          Messaging.messaging().setAPNSToken(deviceToken, type: .prod)
                          
                      }
                      
                          bool isProduction = bool.fromEnvironment('dart.vm.product');
                          parameters.environment = isProduction ? CubeEnvironment.PRODUCTION : CubeEnvironment.DEVELOPMENT;
                      
                      [
                        {
                          "subscription": {
                            "id": sub id,
                            "_id": "insert sub id",
                            "user_id": cube_user_id,
                            "bundle_identifier": "insert bundle id",
                            "client_identification_sequence": "insert client id",
                            "notification_channel_id": 6,
                            "udid": "insert-uuid",
                            "platform_id": 1,
                            "environment": "development",
                            "notification_channel": {
                              "name": "apns_voip"
                            },
                            "device": {
                              "udid": "insert-uuid",
                              "platform": {
                                "name": "ios"
                              }
                            }
                          }
                        }
                      ]
                      
                      environment": "development
                      
                          bool isProduction = bool.fromEnvironment('dart.vm.product');
                          parameters.environment = isProduction ? CubeEnvironment.PRODUCTION : CubeEnvironment.DEVELOPMENT;
                      
                      [
                        {
                          "subscription": {
                            "id": sub id,
                            "_id": "insert sub id",
                            "user_id": cube_user_id,
                            "bundle_identifier": "insert bundle id",
                            "client_identification_sequence": "insert client id",
                            "notification_channel_id": 6,
                            "udid": "insert-uuid",
                            "platform_id": 1,
                            "environment": "development",
                            "notification_channel": {
                              "name": "apns_voip"
                            },
                            "device": {
                              "udid": "insert-uuid",
                              "platform": {
                                "name": "ios"
                              }
                            }
                          }
                        }
                      ]
                      
                      environment": "development
                      
                          bool isProduction = bool.fromEnvironment('dart.vm.product');
                          parameters.environment = isProduction ? CubeEnvironment.PRODUCTION : CubeEnvironment.DEVELOPMENT;
                      
                      [
                        {
                          "subscription": {
                            "id": sub id,
                            "_id": "insert sub id",
                            "user_id": cube_user_id,
                            "bundle_identifier": "insert bundle id",
                            "client_identification_sequence": "insert client id",
                            "notification_channel_id": 6,
                            "udid": "insert-uuid",
                            "platform_id": 1,
                            "environment": "development",
                            "notification_channel": {
                              "name": "apns_voip"
                            },
                            "device": {
                              "udid": "insert-uuid",
                              "platform": {
                                "name": "ios"
                              }
                            }
                          }
                        }
                      ]
                      
                      environment": "development
                      

                      Community Discussions

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                      QUESTION

                      pyQiwiP2P pay_sources: list[str] = None

                      Asked 2022-Apr-15 at 19:18

                      I need to make payment via qiwi

                      from pyqiwip2p import QiwiP2P
                      from pyqiwip2p.Qiwip2p import PaymentMethods  
                      
                      def create_trans(amount=400, lifetime=30, comment="def"):
                              p2p = QiwiP2P(auth_key="I specifically removed")
                              bill = p2p.bill(amount=amount, lifetime=lifetime, comment=comment, bill_id=random_id, pay_sources=[PaymentMethods.qiwi, PaymentMethods.card, PaymentMethods.mobile])
                              return bill
                      

                      The program ends with an error:

                      File "G:\bot\venv\lib\site-packages\pyqiwip2p\Qiwip2p.py", line 118, in QiwiP2P    
                      pay_sources: list[str] = None,
                      TypeError: 'type' object is not subscriptable
                      

                      ANSWER

                      Answered 2022-Apr-15 at 19:18

                      This looks to be a bug in pyQiwiP2P.

                      As per your traceback, line 118 of pyqiwip2p.Qiwip2p.py is as follows:

                              pay_sources: list[str] = None,
                      

                      This contains a broken type hint, list[str]. It seems the author wanted to add a type hint saying that the method parameter pay_sources should contain a list of strings. In this case, they should write

                              pay_sources: typing.List[str] = None,
                      

                      or perhaps

                              pay_sources: typing.Union[typing.List[str], None] = None,
                      

                      instead, given that pay_sources can also be None.

                      To confirm this is the case, we can easily reproduce your exception in a Python interactive session:

                      >>> def test(a: list[str]):
                      ...     pass
                      ...
                      Traceback (most recent call last):
                        File "<stdin>", line 1, in <module>
                      TypeError: 'type' object is not subscriptable
                      

                      I would suggest you get in contact with the package author, perhaps by raising an issue on the project's GitHub repository.

                      Source https://stackoverflow.com/questions/71887305

                      Community Discussions, Code Snippets contain sources that include Stack Exchange Network

                      Vulnerabilities

                      CS2 Network P2P through 3.x, as used in millions of Internet of Things devices, suffers from an information exposure flaw that exposes user session data to supernodes in the network, as demonstrated by passively eavesdropping on user video/audio streams, capturing credentials, and compromising devices.
                      CS2 Network P2P through 3.x, as used in millions of Internet of Things devices, suffers from an authentication flaw that allows remote attackers to perform a man-in-the-middle attack, as demonstrated by eavesdropping on user video/audio streams, capturing credentials, and compromising devices.

                      Install p2p

                      You can download it from GitHub.
                      You can use p2p like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the p2p component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

                      Support

                      For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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