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pprint | Pretty Printer for Modern C | 3D Printing library

 by   p-ranav C++ Version: v0.9.1 License: MIT

 by   p-ranav C++ Version: v0.9.1 License: MIT

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kandi X-RAY | pprint Summary

pprint is a C++ library typically used in Modeling, 3D Printing applications. pprint has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.
Pretty Printer for Modern C++
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kandi-support Support

  • pprint has a medium active ecosystem.
  • It has 802 star(s) with 62 fork(s). There are 21 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 1 open issues and 5 have been closed. On average issues are closed in 56 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of pprint is v0.9.1
pprint Support
Best in #3D Printing
Average in #3D Printing
pprint Support
Best in #3D Printing
Average in #3D Printing

quality kandi Quality

  • pprint has no bugs reported.
pprint Quality
Best in #3D Printing
Average in #3D Printing
pprint Quality
Best in #3D Printing
Average in #3D Printing

securitySecurity

  • pprint has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pprint Security
Best in #3D Printing
Average in #3D Printing
pprint Security
Best in #3D Printing
Average in #3D Printing

license License

  • pprint is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
pprint License
Best in #3D Printing
Average in #3D Printing
pprint License
Best in #3D Printing
Average in #3D Printing

buildReuse

  • pprint releases are available to install and integrate.
  • Installation instructions, examples and code snippets are available.
pprint Reuse
Best in #3D Printing
Average in #3D Printing
pprint Reuse
Best in #3D Printing
Average in #3D Printing
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pprint Key Features

Pretty Printer for Modern C++

Quick Start

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#include <pprint.hpp>

Fundamental Types

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printer.print(5);
printer.print(3.14f);
printer.print(2.718);
printer.print(true);
printer.print('x');
printer.print("Hello, 世界");
printer.print(nullptr);

Strings

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printer.quotes(true);
printer.print("A", "B", "C");

Complex Numbers

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using namespace std::complex_literals;
std::complex<double> foo = 1. + 2.5i;
std::complex<double> bar = 9. + 4i;
printer.print(foo, "*", bar, "=", (foo * bar));   // parameter packing

Enumeration Types

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enum Color { RED = 2, BLUE = 4, GREEN = 8 };
Color color = BLUE;
printer.print(color);

STL Sequence Containers

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typedef std::array<std::array<int, 3>, 3> Mat3x3;
Mat3x3 matrix;
matrix[0] = {1, 2, 3};
matrix[1] = {4, 5, 6};
matrix[2] = {7, 8, 9};
printer.print("Matrix =", matrix);

Compact Printing

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std::vector<std::map<std::string, int>> foo {{{"a", 1}, {"b", 2}}, {{"c", 3}, {"d", 4}}};
printer.compact(true);
printer.print("Foo =", foo);

STL Associative Containers

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printer.print(std::map<std::string, std::set<int>>{ 
    {"foo", {1, 2, 3, 3, 2, 1}}, {"bar", {7, 6, 5, 4}}});

STL Container Adaptors

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std::priority_queue<int> queue;
for(int n : {1,8,5,6,3,4,0,9,7,2}) queue.push(n);
printer.print(queue);

Fixed-size Heterogeneous Tuples

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auto get_student = [](int id) {
  if (id == 0) return std::make_tuple(3.8, 'A', "Lisa Simpson");
  if (id == 1) return std::make_tuple(2.9, 'C', "Milhouse Van Houten");
  if (id == 2) return std::make_tuple(1.7, 'D', "Ralph Wiggum");
  throw std::invalid_argument("id");
};
printer.print({ get_student(0), get_student(1), get_student(2) });

Type-safe Unions

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// Construct a vector of values
std::vector<std::variant<bool, int, int *, float, std::string, std::vector<int>,		      
       std::map<std::string, std::map<std::string, int>>, 
       std::pair<double, double>>> var;
var.push_back(5);
var.push_back(nullptr);
var.push_back(3.14f);
var.push_back(std::string{"Hello World"});
var.push_back(std::vector<int>{1, 2, 3, 4});
var.push_back(std::map<std::string, std::map<std::string, int>>{{"a",{{"b",1}}}, {"c",{{"d",2}, {"e",3}}}});
var.push_back(true);
var.push_back(std::pair<double, double>{1.1, 2.2});

// Print the vector
pprint::PrettyPrinter printer;
printer.indent(2);
printer.quotes(true);
printer.print(var);

Optional Values

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std::optional<int> opt = 5;
std::optional<int> opt2;

printer.print(opt);
printer.print(opt2);

Class Objects

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class Foo {};
Foo foo;
printer.print(foo);

User-defined types

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struct Vector3 {
  float x, y, z;
};

struct Mesh {
  std::vector<Vector3> vertices;
};

Extracting multiple Wikipedia pages using Pythons Wikipedia

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text = [wiki.page(i).content for i in results]

Gathering results from an asyncio task list with exceptions

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res = []
for t in tasks:
    try:
        r = t.result() # gives an error!!!
    except BaseException as e:
        res.append(e)
        continue
    res.append(r)

print(res)
[0.3088946587429545,
 0.01323751590501987,
 Exception('0.4844375347808497 of Task-3 is too high'),
 asyncio.exceptions.CancelledError(),
 asyncio.exceptions.CancelledError(),
 asyncio.exceptions.CancelledError(),
 Exception('0.4419557492849159 of Task-7 is too high'),
 0.3113884366691503,
 0.07422124156714727,
 asyncio.exceptions.CancelledError()]

Recursing to a function that doesn't exist yet in Haskell

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transformSyntaxExprToParser :: Parser [Text] -> SyntaxAst -> Parser [Text]
transformSyntaxExprToParser self = go
  where
    go (Keyword text) = dbg "Keyword" (pure <$> lexeme (string' text))
    go (Optional inner) = dbg "Optional" (option [] (try (inParens (go inner))))
    go Recurse = dbg "Recurse" self

createParser :: [SyntaxAst] -> Parser [Text]
createParser expressions = parser
  where
    parser = foldr1 (liftA2 (<>))
      (fmap (transformSyntaxExprToParser parser) expressions)
{-# Language RecursiveDo #-}

transformSyntaxExprToParser :: (MonadLog m) => Parser [Text] -> SyntaxAst -> m (Parser [Text])
transformSyntaxExprToParser self = go
  where
    go (Keyword text) = do
      logMessage "Got ‘Keyword’"
      pure $ dbg "Keyword" (pure <$> lexeme (string' text))
    go (Optional inner) = do
      logMessage "Got ‘Optional’"
      inner' <- go inner
      pure $ dbg "Optional" (option [] (try (inParens inner')))
    go Recurse = do
      logMessage "Got ‘Recurse’"
      pure $ dbg "Recurse" self

createParser :: (MonadFix m, MonadLog m) => [SyntaxAst] -> m (Parser [Text])
createParser expressions = do
  rec
    parser <- fmap (foldr1 (liftA2 (<>)))
      (traverse (transformSyntaxExprToParser parser) expressions)
  pure parser
transformSyntaxExprToParser :: Parser [Text] -> SyntaxAst -> Parser [Text]
transformSyntaxExprToParser self = go
  where
    go (Keyword text) = dbg "Keyword" (pure <$> lexeme (string' text))
    go (Optional inner) = dbg "Optional" (option [] (try (inParens (go inner))))
    go Recurse = dbg "Recurse" self

createParser :: [SyntaxAst] -> Parser [Text]
createParser expressions = parser
  where
    parser = foldr1 (liftA2 (<>))
      (fmap (transformSyntaxExprToParser parser) expressions)
{-# Language RecursiveDo #-}

transformSyntaxExprToParser :: (MonadLog m) => Parser [Text] -> SyntaxAst -> m (Parser [Text])
transformSyntaxExprToParser self = go
  where
    go (Keyword text) = do
      logMessage "Got ‘Keyword’"
      pure $ dbg "Keyword" (pure <$> lexeme (string' text))
    go (Optional inner) = do
      logMessage "Got ‘Optional’"
      inner' <- go inner
      pure $ dbg "Optional" (option [] (try (inParens inner')))
    go Recurse = do
      logMessage "Got ‘Recurse’"
      pure $ dbg "Recurse" self

createParser :: (MonadFix m, MonadLog m) => [SyntaxAst] -> m (Parser [Text])
createParser expressions = do
  rec
    parser <- fmap (foldr1 (liftA2 (<>)))
      (traverse (transformSyntaxExprToParser parser) expressions)
  pure parser

How to execute a boolean logic stored as a string, preferably without eval()?

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import pandas as pd

fname = 's_test.out'
rule, logic = rp

def apply_rule(rule_dict: dict, fname: str) -> dict:
    return {rule: func(fname) 
        for rule, func in rule_dict.items()}

print(pd.eval(logic, local_dict = apply_rule(rule, fname)))
False
import pandas as pd

fname = 's_test.out'
rule, logic = rp

def apply_rule(rule_dict: dict, fname: str) -> dict:
    return {rule: func(fname) 
        for rule, func in rule_dict.items()}

print(pd.eval(logic, local_dict = apply_rule(rule, fname)))
False

How to Subscribe to multiple Websocket streams using Muiltiprocessing

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if __name__ == '__main__':
    import multiprocessing as mp

    p1 = mp.Process(target=ws_tickerInfo)
    p2 = mp.Process(target=ws_orderBookUpdates)
    p1.start()
    p2.start()
    p1.join() # wait for completion
    p2.join() # wait for completion
    p1 = mp.Process(target=ws_tickerInfo(), daemon=True)
    p2 = mp.Process(target=ws_orderBookUpdates(), daemon=True)
    p1 = mp.Process(target=ws_tickerInfo)
    p2 = mp.Process(target=ws_orderBookUpdates)
import websocket
import json
import pprint
from datetime import datetime
import time
import sys
import signal

# Function to subscribe to ticker information.
def ws_tickerInfo():
    def on_open(wsapp):
        print("opened")
        subscribe_message = {
            "method": "subscribe",
            "params": {'channel': "lightning_ticker_BTC_JPY"}
        }
        wsapp.send(json.dumps(subscribe_message))

    def on_message(wsapp, message, prev=None):
        print(f"Ticker Info, Received : {datetime.now()}")

        ###### full json payloads ######
        # pprint.pprint(json.loads(message))

    def on_close(wsapp):
        print("closed connection")

    endpoint = 'wss://ws.lightstream.bitflyer.com/json-rpc'
    ws = websocket.WebSocketApp(endpoint,
                                on_open=on_open,
                                on_message=on_message,
                                on_close=on_close)

    ws.run_forever()


# Function to subscribe to order book updates.
def ws_orderBookUpdates():
    def on_open(wsapp):
        print("opened")
        subscribe_message = {
            "method": "subscribe",
            "params": {'channel': "lightning_board_BTC_JPY"}
        }
        wsapp.send(json.dumps(subscribe_message))

    def on_message(wsapp, message):
        print(f"Order Book, Received : {datetime.now()}")

        ###### full json payloads ######
        # pprint.pprint(json.loads(message))

    def on_close(wsapp):
        print("closed connection")

    endpoint = 'wss://ws.lightstream.bitflyer.com/json-rpc'
    ws = websocket.WebSocketApp(endpoint,
                                on_open=on_open,
                                on_message=on_message,
                                on_close=on_close)
    ws.run_forever()

def handle_ctrl_c(signum, stack_frame):
    sys.exit(0)

if __name__ == '__main__':
    import multiprocessing as mp

    signal.signal(signal.SIGINT, handle_ctrl_c) # terminate on ctrl-c
    print('Enter Ctrl-C to terminate.')
    p1 = mp.Process(target=ws_tickerInfo)
    p2 = mp.Process(target=ws_orderBookUpdates)
    p1.start()
    p2.start()
    p1.join() # wait for completion (will never happen)
    p2.join() # wait for completion (will never happen)
if __name__ == '__main__':
    import threading

    t1 = threading.Thread(target=ws_tickerInfo, daemon=True)
    t2 = threading.Thread(target=ws_orderBookUpdates, daemon=True)
    t1.start()
    t2.start()
    input('Hit enter to terminate...\n')
if __name__ == '__main__':
    import multiprocessing as mp

    p1 = mp.Process(target=ws_tickerInfo)
    p2 = mp.Process(target=ws_orderBookUpdates)
    p1.start()
    p2.start()
    p1.join() # wait for completion
    p2.join() # wait for completion
    p1 = mp.Process(target=ws_tickerInfo(), daemon=True)
    p2 = mp.Process(target=ws_orderBookUpdates(), daemon=True)
    p1 = mp.Process(target=ws_tickerInfo)
    p2 = mp.Process(target=ws_orderBookUpdates)
import websocket
import json
import pprint
from datetime import datetime
import time
import sys
import signal

# Function to subscribe to ticker information.
def ws_tickerInfo():
    def on_open(wsapp):
        print("opened")
        subscribe_message = {
            "method": "subscribe",
            "params": {'channel': "lightning_ticker_BTC_JPY"}
        }
        wsapp.send(json.dumps(subscribe_message))

    def on_message(wsapp, message, prev=None):
        print(f"Ticker Info, Received : {datetime.now()}")

        ###### full json payloads ######
        # pprint.pprint(json.loads(message))

    def on_close(wsapp):
        print("closed connection")

    endpoint = 'wss://ws.lightstream.bitflyer.com/json-rpc'
    ws = websocket.WebSocketApp(endpoint,
                                on_open=on_open,
                                on_message=on_message,
                                on_close=on_close)

    ws.run_forever()


# Function to subscribe to order book updates.
def ws_orderBookUpdates():
    def on_open(wsapp):
        print("opened")
        subscribe_message = {
            "method": "subscribe",
            "params": {'channel': "lightning_board_BTC_JPY"}
        }
        wsapp.send(json.dumps(subscribe_message))

    def on_message(wsapp, message):
        print(f"Order Book, Received : {datetime.now()}")

        ###### full json payloads ######
        # pprint.pprint(json.loads(message))

    def on_close(wsapp):
        print("closed connection")

    endpoint = 'wss://ws.lightstream.bitflyer.com/json-rpc'
    ws = websocket.WebSocketApp(endpoint,
                                on_open=on_open,
                                on_message=on_message,
                                on_close=on_close)
    ws.run_forever()

def handle_ctrl_c(signum, stack_frame):
    sys.exit(0)

if __name__ == '__main__':
    import multiprocessing as mp

    signal.signal(signal.SIGINT, handle_ctrl_c) # terminate on ctrl-c
    print('Enter Ctrl-C to terminate.')
    p1 = mp.Process(target=ws_tickerInfo)
    p2 = mp.Process(target=ws_orderBookUpdates)
    p1.start()
    p2.start()
    p1.join() # wait for completion (will never happen)
    p2.join() # wait for completion (will never happen)
if __name__ == '__main__':
    import threading

    t1 = threading.Thread(target=ws_tickerInfo, daemon=True)
    t2 = threading.Thread(target=ws_orderBookUpdates, daemon=True)
    t1.start()
    t2.start()
    input('Hit enter to terminate...\n')
if __name__ == '__main__':
    import multiprocessing as mp

    p1 = mp.Process(target=ws_tickerInfo)
    p2 = mp.Process(target=ws_orderBookUpdates)
    p1.start()
    p2.start()
    p1.join() # wait for completion
    p2.join() # wait for completion
    p1 = mp.Process(target=ws_tickerInfo(), daemon=True)
    p2 = mp.Process(target=ws_orderBookUpdates(), daemon=True)
    p1 = mp.Process(target=ws_tickerInfo)
    p2 = mp.Process(target=ws_orderBookUpdates)
import websocket
import json
import pprint
from datetime import datetime
import time
import sys
import signal

# Function to subscribe to ticker information.
def ws_tickerInfo():
    def on_open(wsapp):
        print("opened")
        subscribe_message = {
            "method": "subscribe",
            "params": {'channel': "lightning_ticker_BTC_JPY"}
        }
        wsapp.send(json.dumps(subscribe_message))

    def on_message(wsapp, message, prev=None):
        print(f"Ticker Info, Received : {datetime.now()}")

        ###### full json payloads ######
        # pprint.pprint(json.loads(message))

    def on_close(wsapp):
        print("closed connection")

    endpoint = 'wss://ws.lightstream.bitflyer.com/json-rpc'
    ws = websocket.WebSocketApp(endpoint,
                                on_open=on_open,
                                on_message=on_message,
                                on_close=on_close)

    ws.run_forever()


# Function to subscribe to order book updates.
def ws_orderBookUpdates():
    def on_open(wsapp):
        print("opened")
        subscribe_message = {
            "method": "subscribe",
            "params": {'channel': "lightning_board_BTC_JPY"}
        }
        wsapp.send(json.dumps(subscribe_message))

    def on_message(wsapp, message):
        print(f"Order Book, Received : {datetime.now()}")

        ###### full json payloads ######
        # pprint.pprint(json.loads(message))

    def on_close(wsapp):
        print("closed connection")

    endpoint = 'wss://ws.lightstream.bitflyer.com/json-rpc'
    ws = websocket.WebSocketApp(endpoint,
                                on_open=on_open,
                                on_message=on_message,
                                on_close=on_close)
    ws.run_forever()

def handle_ctrl_c(signum, stack_frame):
    sys.exit(0)

if __name__ == '__main__':
    import multiprocessing as mp

    signal.signal(signal.SIGINT, handle_ctrl_c) # terminate on ctrl-c
    print('Enter Ctrl-C to terminate.')
    p1 = mp.Process(target=ws_tickerInfo)
    p2 = mp.Process(target=ws_orderBookUpdates)
    p1.start()
    p2.start()
    p1.join() # wait for completion (will never happen)
    p2.join() # wait for completion (will never happen)
if __name__ == '__main__':
    import threading

    t1 = threading.Thread(target=ws_tickerInfo, daemon=True)
    t2 = threading.Thread(target=ws_orderBookUpdates, daemon=True)
    t1.start()
    t2.start()
    input('Hit enter to terminate...\n')
if __name__ == '__main__':
    import multiprocessing as mp

    p1 = mp.Process(target=ws_tickerInfo)
    p2 = mp.Process(target=ws_orderBookUpdates)
    p1.start()
    p2.start()
    p1.join() # wait for completion
    p2.join() # wait for completion
    p1 = mp.Process(target=ws_tickerInfo(), daemon=True)
    p2 = mp.Process(target=ws_orderBookUpdates(), daemon=True)
    p1 = mp.Process(target=ws_tickerInfo)
    p2 = mp.Process(target=ws_orderBookUpdates)
import websocket
import json
import pprint
from datetime import datetime
import time
import sys
import signal

# Function to subscribe to ticker information.
def ws_tickerInfo():
    def on_open(wsapp):
        print("opened")
        subscribe_message = {
            "method": "subscribe",
            "params": {'channel': "lightning_ticker_BTC_JPY"}
        }
        wsapp.send(json.dumps(subscribe_message))

    def on_message(wsapp, message, prev=None):
        print(f"Ticker Info, Received : {datetime.now()}")

        ###### full json payloads ######
        # pprint.pprint(json.loads(message))

    def on_close(wsapp):
        print("closed connection")

    endpoint = 'wss://ws.lightstream.bitflyer.com/json-rpc'
    ws = websocket.WebSocketApp(endpoint,
                                on_open=on_open,
                                on_message=on_message,
                                on_close=on_close)

    ws.run_forever()


# Function to subscribe to order book updates.
def ws_orderBookUpdates():
    def on_open(wsapp):
        print("opened")
        subscribe_message = {
            "method": "subscribe",
            "params": {'channel': "lightning_board_BTC_JPY"}
        }
        wsapp.send(json.dumps(subscribe_message))

    def on_message(wsapp, message):
        print(f"Order Book, Received : {datetime.now()}")

        ###### full json payloads ######
        # pprint.pprint(json.loads(message))

    def on_close(wsapp):
        print("closed connection")

    endpoint = 'wss://ws.lightstream.bitflyer.com/json-rpc'
    ws = websocket.WebSocketApp(endpoint,
                                on_open=on_open,
                                on_message=on_message,
                                on_close=on_close)
    ws.run_forever()

def handle_ctrl_c(signum, stack_frame):
    sys.exit(0)

if __name__ == '__main__':
    import multiprocessing as mp

    signal.signal(signal.SIGINT, handle_ctrl_c) # terminate on ctrl-c
    print('Enter Ctrl-C to terminate.')
    p1 = mp.Process(target=ws_tickerInfo)
    p2 = mp.Process(target=ws_orderBookUpdates)
    p1.start()
    p2.start()
    p1.join() # wait for completion (will never happen)
    p2.join() # wait for completion (will never happen)
if __name__ == '__main__':
    import threading

    t1 = threading.Thread(target=ws_tickerInfo, daemon=True)
    t2 = threading.Thread(target=ws_orderBookUpdates, daemon=True)
    t1.start()
    t2.start()
    input('Hit enter to terminate...\n')
if __name__ == '__main__':
    import multiprocessing as mp

    p1 = mp.Process(target=ws_tickerInfo)
    p2 = mp.Process(target=ws_orderBookUpdates)
    p1.start()
    p2.start()
    p1.join() # wait for completion
    p2.join() # wait for completion
    p1 = mp.Process(target=ws_tickerInfo(), daemon=True)
    p2 = mp.Process(target=ws_orderBookUpdates(), daemon=True)
    p1 = mp.Process(target=ws_tickerInfo)
    p2 = mp.Process(target=ws_orderBookUpdates)
import websocket
import json
import pprint
from datetime import datetime
import time
import sys
import signal

# Function to subscribe to ticker information.
def ws_tickerInfo():
    def on_open(wsapp):
        print("opened")
        subscribe_message = {
            "method": "subscribe",
            "params": {'channel': "lightning_ticker_BTC_JPY"}
        }
        wsapp.send(json.dumps(subscribe_message))

    def on_message(wsapp, message, prev=None):
        print(f"Ticker Info, Received : {datetime.now()}")

        ###### full json payloads ######
        # pprint.pprint(json.loads(message))

    def on_close(wsapp):
        print("closed connection")

    endpoint = 'wss://ws.lightstream.bitflyer.com/json-rpc'
    ws = websocket.WebSocketApp(endpoint,
                                on_open=on_open,
                                on_message=on_message,
                                on_close=on_close)

    ws.run_forever()


# Function to subscribe to order book updates.
def ws_orderBookUpdates():
    def on_open(wsapp):
        print("opened")
        subscribe_message = {
            "method": "subscribe",
            "params": {'channel': "lightning_board_BTC_JPY"}
        }
        wsapp.send(json.dumps(subscribe_message))

    def on_message(wsapp, message):
        print(f"Order Book, Received : {datetime.now()}")

        ###### full json payloads ######
        # pprint.pprint(json.loads(message))

    def on_close(wsapp):
        print("closed connection")

    endpoint = 'wss://ws.lightstream.bitflyer.com/json-rpc'
    ws = websocket.WebSocketApp(endpoint,
                                on_open=on_open,
                                on_message=on_message,
                                on_close=on_close)
    ws.run_forever()

def handle_ctrl_c(signum, stack_frame):
    sys.exit(0)

if __name__ == '__main__':
    import multiprocessing as mp

    signal.signal(signal.SIGINT, handle_ctrl_c) # terminate on ctrl-c
    print('Enter Ctrl-C to terminate.')
    p1 = mp.Process(target=ws_tickerInfo)
    p2 = mp.Process(target=ws_orderBookUpdates)
    p1.start()
    p2.start()
    p1.join() # wait for completion (will never happen)
    p2.join() # wait for completion (will never happen)
if __name__ == '__main__':
    import threading

    t1 = threading.Thread(target=ws_tickerInfo, daemon=True)
    t2 = threading.Thread(target=ws_orderBookUpdates, daemon=True)
    t1.start()
    t2.start()
    input('Hit enter to terminate...\n')

Get user's IP Address in Lambda (with API Gateway, and Python)

copy iconCopydownload iconDownload
{
   "client_ip" : "$input.params('X-Forwarded-For')",
   "user_agent" : "$input.params('User-Agent')"
}
{
   "client_ip" : "$input.params('X-Forwarded-For')",
   "user_agent" : "$input.params('User-Agent')",
   "body" : $input.json('$.body') 
}
##  See http://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-mapping-template-reference.html
##  This template will pass through all parameters including path, querystring, header, stage variables, and context through to the integration endpoint via the body/payload
#set($allParams = $input.params())
{
"body-json" : $input.json('$'),
"params" : {
#foreach($type in $allParams.keySet())
    #set($params = $allParams.get($type))
"$type" : {
    #foreach($paramName in $params.keySet())
    "$paramName" : "$util.escapeJavaScript($params.get($paramName))"
        #if($foreach.hasNext),#end
    #end
}
    #if($foreach.hasNext),#end
#end
},
"stage-variables" : {
#foreach($key in $stageVariables.keySet())
"$key" : "$util.escapeJavaScript($stageVariables.get($key))"
    #if($foreach.hasNext),#end
#end
},
"context" : {
    "account-id" : "$context.identity.accountId",
    "api-id" : "$context.apiId",
    "api-key" : "$context.identity.apiKey",
    "authorizer-principal-id" : "$context.authorizer.principalId",
    "caller" : "$context.identity.caller",
    "cognito-authentication-provider" : "$context.identity.cognitoAuthenticationProvider",
    "cognito-authentication-type" : "$context.identity.cognitoAuthenticationType",
    "cognito-identity-id" : "$context.identity.cognitoIdentityId",
    "cognito-identity-pool-id" : "$context.identity.cognitoIdentityPoolId",
    "http-method" : "$context.httpMethod",
    "stage" : "$context.stage",
    "source-ip" : "$context.identity.sourceIp",
    "user" : "$context.identity.user",
    "user-agent" : "$context.identity.userAgent",
    "user-arn" : "$context.identity.userArn",
    "request-id" : "$context.requestId",
    "resource-id" : "$context.resourceId",
    "resource-path" : "$context.resourcePath"
    }
}
{
   "client_ip" : "$input.params('X-Forwarded-For')",
   "user_agent" : "$input.params('User-Agent')",
   "body" : $input.json('$.body') 
}
##  See http://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-mapping-template-reference.html
##  This template will pass through all parameters including path, querystring, header, stage variables, and context through to the integration endpoint via the body/payload
#set($allParams = $input.params())
{
"body-json" : $input.json('$'),
"params" : {
#foreach($type in $allParams.keySet())
    #set($params = $allParams.get($type))
"$type" : {
    #foreach($paramName in $params.keySet())
    "$paramName" : "$util.escapeJavaScript($params.get($paramName))"
        #if($foreach.hasNext),#end
    #end
}
    #if($foreach.hasNext),#end
#end
},
"stage-variables" : {
#foreach($key in $stageVariables.keySet())
"$key" : "$util.escapeJavaScript($stageVariables.get($key))"
    #if($foreach.hasNext),#end
#end
},
"context" : {
    "account-id" : "$context.identity.accountId",
    "api-id" : "$context.apiId",
    "api-key" : "$context.identity.apiKey",
    "authorizer-principal-id" : "$context.authorizer.principalId",
    "caller" : "$context.identity.caller",
    "cognito-authentication-provider" : "$context.identity.cognitoAuthenticationProvider",
    "cognito-authentication-type" : "$context.identity.cognitoAuthenticationType",
    "cognito-identity-id" : "$context.identity.cognitoIdentityId",
    "cognito-identity-pool-id" : "$context.identity.cognitoIdentityPoolId",
    "http-method" : "$context.httpMethod",
    "stage" : "$context.stage",
    "source-ip" : "$context.identity.sourceIp",
    "user" : "$context.identity.user",
    "user-agent" : "$context.identity.userAgent",
    "user-arn" : "$context.identity.userArn",
    "request-id" : "$context.requestId",
    "resource-id" : "$context.resourceId",
    "resource-path" : "$context.resourcePath"
    }
}

Django - annotate price= &quot;price_A&quot; or &quot;price_B&quot;

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from django.db.models.functions import Coalesce

Product.objects.annotate(
    price=Coalesce('price_amazon', 'price_ebay', 'price_etsy')
)

Python3 error trying to decode (base64) then decompress (gzip)

copy iconCopydownload iconDownload
raw = hydata["player"]["stats"]["Pit"]["profile"]["inv_contents"]
by = bytes([i if i >= 0 else 256+i for i in raw['data']])
decoded = decompress(by)

How to build an array of Objects in a loop

copy iconCopydownload iconDownload
class IndexItem:
    def __init__(self, filepath, size):
            self.filepath = filepath
            self.size = size
            
    def __repr__(self):
        # Returns a string representation of the IindexItem
        return f"({self.filepath}, {self.size})"   
class IndexStore:
    def __init__(self):
        self._index = []
        
    def append(self, o: object):
        # Append an entry onto the index
        self._index.append(o)
        
    def __repr__(self):
        # Returns a string representation of self._index
        return ', '.join(list(str(x) for x in self._index))   
listOfFile = os.listdir(sourcePath)
index = IndexStore()
for f in listOfFile[:5]:
    # For each entry f in listOfFile 
    fullpath = os.path.join(sourcePath, f)
    # add an instantiation of IndexItem to IndexStore
    index.append(IndexItem(fullpath, int(os.path.getsize(fullpath))))

print(index)    
IndexStore = []
listOfFile = os.listdir(sourcePath)
for f in listOfFile[:5]:
    # For each entry f in listOfFile 
    fullpath = os.path.join(sourcePath, f)
    # add an instantiation of IndexItem to IndexStore
    IndexStore.append((fullpath, int(os.path.getsize(fullpath)))

print(IndexStore)    
class IndexItem:
    def __init__(self, filepath, size):
            self.filepath = filepath
            self.size = size
            
    def __repr__(self):
        # Returns a string representation of the IindexItem
        return f"({self.filepath}, {self.size})"   
class IndexStore:
    def __init__(self):
        self._index = []
        
    def append(self, o: object):
        # Append an entry onto the index
        self._index.append(o)
        
    def __repr__(self):
        # Returns a string representation of self._index
        return ', '.join(list(str(x) for x in self._index))   
listOfFile = os.listdir(sourcePath)
index = IndexStore()
for f in listOfFile[:5]:
    # For each entry f in listOfFile 
    fullpath = os.path.join(sourcePath, f)
    # add an instantiation of IndexItem to IndexStore
    index.append(IndexItem(fullpath, int(os.path.getsize(fullpath))))

print(index)    
IndexStore = []
listOfFile = os.listdir(sourcePath)
for f in listOfFile[:5]:
    # For each entry f in listOfFile 
    fullpath = os.path.join(sourcePath, f)
    # add an instantiation of IndexItem to IndexStore
    IndexStore.append((fullpath, int(os.path.getsize(fullpath)))

print(IndexStore)    
class IndexItem:
    def __init__(self, filepath, size):
            self.filepath = filepath
            self.size = size
            
    def __repr__(self):
        # Returns a string representation of the IindexItem
        return f"({self.filepath}, {self.size})"   
class IndexStore:
    def __init__(self):
        self._index = []
        
    def append(self, o: object):
        # Append an entry onto the index
        self._index.append(o)
        
    def __repr__(self):
        # Returns a string representation of self._index
        return ', '.join(list(str(x) for x in self._index))   
listOfFile = os.listdir(sourcePath)
index = IndexStore()
for f in listOfFile[:5]:
    # For each entry f in listOfFile 
    fullpath = os.path.join(sourcePath, f)
    # add an instantiation of IndexItem to IndexStore
    index.append(IndexItem(fullpath, int(os.path.getsize(fullpath))))

print(index)    
IndexStore = []
listOfFile = os.listdir(sourcePath)
for f in listOfFile[:5]:
    # For each entry f in listOfFile 
    fullpath = os.path.join(sourcePath, f)
    # add an instantiation of IndexItem to IndexStore
    IndexStore.append((fullpath, int(os.path.getsize(fullpath)))

print(IndexStore)    
class IndexItem:
    def __init__(self, filepath, size):
            self.filepath = filepath
            self.size = size
            
    def __repr__(self):
        # Returns a string representation of the IindexItem
        return f"({self.filepath}, {self.size})"   
class IndexStore:
    def __init__(self):
        self._index = []
        
    def append(self, o: object):
        # Append an entry onto the index
        self._index.append(o)
        
    def __repr__(self):
        # Returns a string representation of self._index
        return ', '.join(list(str(x) for x in self._index))   
listOfFile = os.listdir(sourcePath)
index = IndexStore()
for f in listOfFile[:5]:
    # For each entry f in listOfFile 
    fullpath = os.path.join(sourcePath, f)
    # add an instantiation of IndexItem to IndexStore
    index.append(IndexItem(fullpath, int(os.path.getsize(fullpath))))

print(index)    
IndexStore = []
listOfFile = os.listdir(sourcePath)
for f in listOfFile[:5]:
    # For each entry f in listOfFile 
    fullpath = os.path.join(sourcePath, f)
    # add an instantiation of IndexItem to IndexStore
    IndexStore.append((fullpath, int(os.path.getsize(fullpath)))

print(IndexStore)    

Set attribue in custom class derived from uuid.UUID: AttributeError

copy iconCopydownload iconDownload
import uuid

class UUID(uuid.UUID):
    """Represents a more general version of the uuid.UUID, so we can have both
            regular and short UUIDs.
    """

    def __init__(self, hex=None, bytes=None, is_short=False, **kwargs):
        self.is_short = False
        if len(hex) == 4:
            self.is_short = True
            hex = "0000"+hex+"-0000-1000-8000-00805f9b34fb"
        super(UUID, self).__init__(hex=hex, bytes=bytes, **kwargs)

    def __str__(self):
        val = super(UUID, self).__str__()
        if self.is_short:
            return val[4:8]
        else:
            return val

Community Discussions

Trending Discussions on pprint
  • Extracting multiple Wikipedia pages using Pythons Wikipedia
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  • Recursing to a function that doesn't exist yet in Haskell
  • How to execute a boolean logic stored as a string, preferably without eval()?
  • How to Subscribe to multiple Websocket streams using Muiltiprocessing
  • Get user's IP Address in Lambda (with API Gateway, and Python)
  • Django - annotate price= &quot;price_A&quot; or &quot;price_B&quot;
  • Python3 error trying to decode (base64) then decompress (gzip)
  • How to build an array of Objects in a loop
  • Failed to scrape price related information from a site using requests
Trending Discussions on pprint

QUESTION

Extracting multiple Wikipedia pages using Pythons Wikipedia

Asked 2021-Jun-15 at 13:10

I am not sure how to extract multiple pages from a search result using Pythons Wikipedia plugin. Some advice would be appreciated.

My code so far:

import wikipedia as wiki
import pprint as pp
from transformers import BertTokenizer, BertForSequenceClassification

model = BertForSequenceClassification.from_pretrained('bert-base-uncased')
question = 'New Zealand'
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
results = wiki.search(question)
print("Wikipedia search results for our question:\n")
pp.pprint(results)

page = wiki.page(results[0])
text = page.content

How can I get page to hold all the different search results?

ANSWER

Answered 2021-Jun-15 at 13:10

You have done the hard part, the results are already in the results variable.

But the results need parsing by the wiki.page() nethod, which only takes one argument.

The solution? Use a loop to parse all results one by one.

The easiest way will be using for loops, but the list comprehension method is the best.

Replace the last two lines with the following:

text = [wiki.page(i).content for i in results]

You should get all the texts in the text variable, which is a list.

Source https://stackoverflow.com/questions/67986624

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

Vulnerabilities

No vulnerabilities reported

Install pprint

Simply include pprint.hpp and you're good to go. To start printing, create a PrettyPrinter. You can construct a PrettyPrinter with any stream that inherits from std::ostream , e.g, std::stringstream.

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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