Merge #871: Remove rand_pow_array(), it's not used anymore

392f51b38b Remove rand_pow_array(), it's not used anymore (Kristaps Kaupe)

Pull request description:

  Resolves #869.

Top commit has no ACKs.

Tree-SHA512: de21e50513216b7a8923414726c4adf6712dd668ca000e957f0aabcba4fa74262fe95ebaef6997b1a8178a47c4cc8ccd1232714854bdfb0032190da147c43b30

jmclient/jmclient/__init__.py

@@ -3,7 +3,7 @@ import logging
 
 from .support import (calc_cj_fee, choose_sweep_orders, choose_orders,
                       cheapest_order_choose, weighted_order_choose,
-                      rand_norm_array, rand_pow_array, rand_exp_array,
+                      rand_norm_array, rand_exp_array,
                       rand_weighted_choice, select,
                       select_gradual, select_greedy, select_greediest,
                       get_random_bytes, random_under_max_order_choose,

jmclient/jmclient/support.py

@@ -44,14 +44,6 @@ def rand_exp_array(lamda, n):
     return [random.expovariate(1.0 / lamda) for _ in range(n)]
 
 
-def rand_pow_array(power, n):
-    # rather crude in that uses a uniform sample which is a multiple of 1e-4
-    # for basis of formula, see: http://mathworld.wolfram.com/RandomNumber.html
-    return [y**(1.0 / power)
-            for y in [x * 0.0001 for x in random.sample(
-                range(10000), n)]]
-
-
 def rand_weighted_choice(n, p_arr):
     """
     Choose a value in 0..n-1

jmclient/test/test_support.py

@@ -4,7 +4,7 @@
 import pytest
 from jmclient import (select, select_gradual, select_greedy, select_greediest,
                       choose_orders, choose_sweep_orders, weighted_order_choose)
-from jmclient.support import (calc_cj_fee, rand_exp_array, rand_pow_array,
+from jmclient.support import (calc_cj_fee, rand_exp_array,
                               rand_norm_array, rand_weighted_choice,
                               cheapest_order_choose)
 from taker_test_data import t_orderbook
@@ -37,11 +37,6 @@ def test_random_funcs():
     assert len(x2) == 10
     for x in x2:
         assert x > 0
-    x3 = rand_pow_array(100, 10)
-    assert len(x3) == 10
-    for x in x3:
-        assert x > 0
-        assert x < 1
     x4 = rand_weighted_choice(5, [0.2, 0.1, 0.3, 0.15, 0.25])
     assert x4 in range(5)
     #test weighted choice fails with invalid inputs