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random_methods.py

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+import random
+# from numpy import random
+# def guess(x):
+#     random_number=random.randint(0, x)
+#     print(random_number)
+#     guess=0
+#     while guess !=random_number:
+#         guess=int(input(f"guess a no in between 1 and{x}:"))
+#         if( guess > random_number):
+#             print(f"Enter a no less than {guess} ")
+#         elif( guess < random_number):
+#             print(f"Enter a no greater than {guess} ")
+#     print(f"U hit the jack pot,random_number generated by system is {random_number} ,random no u gussed is {guess},both are equal")
+
+#guess(10)
+def computer_guess(x):
+    low=0
+    high=x
+    feedback=''
+    while feedback!="c" :
+        if low!=high:
+            guess = random.randint(low,high)
+        else:
+            guess=low #since low and both are equal guess could be equal to high
+        feedback=input(f"Is {guess} is too high(h),or too low(l) or correct(c):")
+        if (feedback=='h'):
+            high=guess-1
+        elif(feedback=='l'):
+            low=guess+1
+    print(f"U hit the jack pot, ,random no system gussed is {guess} corerct")
+
+computer_guess(10)
+
+
+
+
+
+
+# x = random.choice([3, 5, 7, 9], p=[0.1, 0.3, 0.6, 0.0], size=(100))
+# '''Generate a 1-D array containing 100 values, where each value has to be 3, 5, 7 or 9.
+#
+# The probability for the value to be 3 is set to be 0.1
+#
+# The probability for the value to be 5 is set to be 0.3
+#
+# The probability for the value to be 7 is set to be 0.6
+#
+# The probability for the value to be 9 is set to be 0'''
+# x = random.rand() #Generate a random float from 0 to 1:
+# x=random.randint(100, size=(5))#Generate a 1-D array containing 5 random integers from 0 to 100
+# x = random.randint(100, size=(3, 5))#Generate a 2-D array with 3 rows, each row containing 5 random integers from 0 to 100:
+# x = random.rand(5)#Generate a 1-D array containing 5 random floats:
+# x = random.rand(3, 5)#Generate a 2-D array with 3 rows, each row containing 5 random numbers
+# x = random.choice([3, 5, 7, 9])#Return one of the values in an array
+# x = random.choice([3, 5, 7, 9], size=(3, 5))#Generate a 2-D array that consists of the values in the array parameter (3, 5, 7, and 9):
+# import numpy as np
+#
+# arr = np.array([1, 2, 3, 4, 5])#o/p=[2 4 5 3 1]
+# arr=[1,2,3,4,5]#o/p =[2,1,3,5,4]
+#
+# random.shuffle(arr)#Rando mly shuffle elements of following array ,The shuffle() method makes changes to the original array.
+#
+# print(random.permutation(arr)) #The permutation() method returns a re-arranged array (and leaves the original array un-changed).