From f9e2e3739a3485d6873b0b77664d62b9f55a6762 Mon Sep 17 00:00:00 2001
From: Kevin Hughes <kevinhughes27@gmail.com>
Date: Fri, 14 Apr 2017 18:46:27 -0400
Subject: [PATCH] remove perf tests. They dont use the actual utils so there is
 no reason to keep them in this state

---
 play.py            |  10 ---
 tests/perfTests.py | 154 ---------------------------------------------
 2 files changed, 164 deletions(-)
 delete mode 100644 tests/perfTests.py

diff --git a/play.py b/play.py
index 618f52f89..80f3b2dc8 100644
--- a/play.py
+++ b/play.py
@@ -1,18 +1,8 @@
 #!/usr/bin/env python
 
 from utils import resize_image, XboxController
-<<<<<<< 48ae7d1910c02bfc04433f31ac9fd14322f7747e
-from termcolor import cprint
-||||||| merged common ancestors
-import tensorflow as tf
-import model
-from termcolor import cprint
-=======
 from termcolor import cprint
 
-import tensorflow as tf
-import model
->>>>>>> split Sample class out of Screenshot class
 import gym
 import gym_mupen64plus
 from train import create_model
diff --git a/tests/perfTests.py b/tests/perfTests.py
deleted file mode 100644
index 86bf61fce..000000000
--- a/tests/perfTests.py
+++ /dev/null
@@ -1,154 +0,0 @@
-#!/usr/bin/env python
-
-import sys
-import time
-import array
-
-import wx
-wx.App()
-
-from skimage.transform import resize
-from skimage.util import img_as_float
-
-import numpy as np
-
-from PIL import Image
-
-
-# CONSTANTS #
-SRC_W = 640
-SRC_H = 480
-SRC_D = 3
-OFFSET_X = 400
-OFFSET_Y = 240
-
-IMG_W = 200
-IMG_H = 66
-IMG_D = 3
-
-
-def original_take_screenshot():
-    screen = wx.ScreenDC()
-    size = screen.GetSize()
-    bmp = wx.Bitmap(size[0], size[1])
-    mem = wx.MemoryDC(bmp)
-    mem.Blit(0, 0, size[0], size[1], screen, 0, 0)
-    return bmp.GetSubBitmap(wx.Rect([0,0],[SRC_W,SRC_H]))
-
-
-def modified_take_screenshot():
-    screen = wx.ScreenDC()
-    bmp = wx.Bitmap(SRC_W, SRC_H)
-    mem = wx.MemoryDC(bmp)
-    mem.Blit(0, 0, SRC_W, SRC_H, screen, OFFSET_X, OFFSET_Y)
-    return bmp
-
-
-def original_prepare_image(img):
-    buf = img.ConvertToImage().GetData()
-    img = np.frombuffer(buf, dtype='uint8')
-
-    img = img.reshape(SRC_H, SRC_W, SRC_D)
-    img = resize(img, [IMG_H, IMG_W])
-
-    return img
-
-
-arr = array.array('B', [0] * (SRC_W * SRC_H * SRC_D));
-def modified_prepare_image(img):
-    img.CopyToBuffer(arr)
-    img = np.frombuffer(arr, dtype=np.uint8)
-
-    img = img.reshape(SRC_H, SRC_W, SRC_D)
-
-    im = Image.fromarray(img)
-    im = im.resize((IMG_W, IMG_H))
-
-    im_arr = np.frombuffer(im.tobytes(), dtype=np.uint8)
-    im_arr = im_arr.reshape((IMG_H, IMG_W, IMG_D))
-
-    return img_as_float(im_arr)
-
-
-def call_original():
-    bmp = original_take_screenshot()
-    vec = original_prepare_image(bmp)
-
-
-def call_modified():
-    bmp = modified_take_screenshot()
-    vec = modified_prepare_image(bmp)
-
-
-if __name__ == '__main__':
-  import timeit
-
-  try:
-    n = int(sys.argv[1])
-  except (ValueError, IndexError) as e:
-    n = 100
-
-  print("# Running tests " + str(n) + " times")
-
-  print("#")
-  print("# ORIGINAL:")
-  print(timeit.timeit("call_original()", setup="from __main__ import call_original;", number=n))
-
-  print("#")
-  print("# MODIFIED:")
-  print(timeit.timeit("call_modified()", setup="from __main__ import call_modified;", number=n))
- 
-
-######################################################
-# SOME RESULTS #
-#
-# Running tests 10000 times
-#
-# ORIGINAL:
-# 1210.20094013
-#
-# MODIFIED:
-# 313.987584114
-#
-#
-# Running tests 10000 times
-#
-# ORIGINAL:
-# 1074.97350001
-#
-# MODIFIED:
-# 270.604922056
-#
-######################################################
-  
-
-######################################################
-# RESULTS DURING ACTUAL UTILS.PY PREPARE RUN #
-#
-# Preparing 4493 samples (8 races)
-#
-# ORIGINAL CODE: ~280s
-#
-# MODIFIED CODE: ~90s
-#
-######################################################
-  
-
-######################################################
-# RESULTS DURING ACTUAL PLAY.PY RUN #
-#
-# ORIGINAL CODE:
-#                  Screenshot        Prepare Image   Model Eval
-# Avg Times (500): 0.000318816661835 0.136291568279  0.0443236446381
-#
-# MODIFIED CODE:
-#                  Screenshot        Prepare Image   Model Eval
-# Avg Times (500): 0.000203844547272 0.0492500219345 0.0412494616508
-#
-# IMPROVEMENT (AS % DECREASE OVER ORIGINAL):
-#                  Screenshot        Prepare Image   Model Eval
-#                  36.06%            63.86%          6.94% (execution variance - no changes)
-#
-######################################################
-
-