Use lists instead of tuples for args

Author: mlouhivu

Diff for: demos/lock.py

@@ -10,5 +10,5 @@ def hello(lock, id):
 
 lock = Lock()
 for i in range(10):
-    Process(target=hello, args=(lock, i)).start()
+    Process(target=hello, args=[lock, i]).start()
 

Diff for: demos/manager.py

@@ -7,7 +7,7 @@ def f(x):
 manager = Manager()
 fruits = manager.dict()
 
-p = Process(target=f, args=(fruits, ))
+p = Process(target=f, args=[fruits])
 p.start()
 p.join()
 

Diff for: demos/pool.py

@@ -7,11 +7,11 @@ def f(x):
 pool = Pool(8)
 
 # Blocking execution (with a single process)
-result = pool.apply(f, (4,))
+result = pool.apply(f, [4])
 print(result)
 
 # Non-blocking execution "in the background"
-result = pool.apply_async(f, (12,))
+result = pool.apply_async(f, [12])
 while not result.ready():
     print("waiting...")
     time.sleep(1)

Diff for: demos/shared-mem.py

@@ -5,7 +5,7 @@ def squared(a):
         a[i] = a[i] * a[i]
 
 numbers = Array('i', range(10))
-p = Process(target=squared, args=(numbers, ))
+p = Process(target=squared, args=[numbers])
 p.start()
 p.join()
 

Diff for: demos/spawn.py

@@ -7,7 +7,7 @@ def hello(name):
     print("My parent's PID is {0}".format(os.getppid()))
 
 # Create a new process
-p = Process(target=hello, args=('Alice', ))
+p = Process(target=hello, args=['Alice'])
 
 # Start the process
 p.start()

Diff for: demos/task-queue.py

@@ -16,7 +16,7 @@ def f(q, i):
 n = 3   # no. of processes
 p = []  # list of processes
 for i in range(n):
-    p.append(Process(target=f, args=(q, i, )))
+    p.append(Process(target=f, args=[q, i]))
     q.put(None)  # add sentinels to signal STOP
 
 # start work on all processes

Diff for: multiprocessing/data-sharing/solution/data-manager.py

@@ -7,7 +7,7 @@ def squared(a, i):
 numbers = manager.list()
 numbers.extend(range(10))
 
-p = [Process(target=squared, args=(numbers, i, )) for i in range(10)]
+p = [Process(target=squared, args=[numbers, i]) for i in range(10)]
 
 for i in range(10):
     p[i].start()

Diff for: multiprocessing/data-sharing/solution/shared-memory.py

@@ -6,7 +6,7 @@ def squared(a, i):
     a.release()
 
 numbers = Array('i', range(10))
-p = [Process(target=squared, args=(numbers, i, )) for i in range(10)]
+p = [Process(target=squared, args=[numbers, i]) for i in range(10)]
 
 for i in range(10):
     p[i].start()

Diff for: multiprocessing/pipes/count-w.py

@@ -9,7 +9,7 @@ def count(pipe, letter):
 
 left, right = Pipe()
 
-p = Process(target=count, args=(right, 'W'))
+p = Process(target=count, args=[right, 'W'])
 p.start()
 
 fasta = Fasta('5ire.fasta.txt')

Diff for: multiprocessing/simple-calculation/solution/square.py

@@ -4,7 +4,7 @@ def squared(x):
     print(x**2)
 
 # create parallel processes
-procs = [Process(target=squared, args=(x,)) for x in range(10)]
+procs = [Process(target=squared, args=[x]) for x in range(10)]
 
 # start all processes
 for p in procs:

Diff for: multiprocessing/work-distribution/solution/pool-of-workers.py

@@ -23,7 +23,7 @@ def average(chunk):
 # submit each task to the pool
 results = []
 for chunk in tasks:
-    res = pool.apply_async(average, (chunk,))
+    res = pool.apply_async(average, [chunk])
     results.append(res)
 
 # wait for all tasks to finish

Diff for: multiprocessing/work-distribution/solution/queue.py

@@ -39,7 +39,7 @@ def worker(q, r):
 # create parallel processes
 p = []
 for i in range(size):
-    p.append(Process(target=worker, args=(q, r)))
+    p.append(Process(target=worker, args=[q, r]))
     q.put(None)  # add sentinels to signal STOP
     p[i].start()