From 5e4cca1f1796bec109adacdb049d9e34c17656eb Mon Sep 17 00:00:00 2001
From: plafosse <peter@vector35.com>
Date: Fri, 28 Oct 2016 20:16:37 -0400
Subject: Refactor python api into separate files and add Enumeration support.
 Also fixed bugs found with pyflakes

---
 python/functionrecognizer.py | 64 ++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 64 insertions(+)
 create mode 100644 python/functionrecognizer.py

(limited to 'python/functionrecognizer.py')

diff --git a/python/functionrecognizer.py b/python/functionrecognizer.py
new file mode 100644
index 00000000..960aee2f
--- /dev/null
+++ b/python/functionrecognizer.py
@@ -0,0 +1,64 @@
+# Copyright (c) 2015-2016 Vector 35 LLC
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to
+# deal in the Software without restriction, including without limitation the
+# rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+# sell copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in
+# all copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
+# IN THE SOFTWARE.
+
+import traceback
+
+# Binary Ninja components
+import _binaryninjacore as core
+import function
+import filemetadata
+import binaryview
+import lowlevelil
+import log
+
+
+class FunctionRecognizer(object):
+	_instance = None
+
+	def __init__(self):
+		self._cb = core.BNFunctionRecognizer()
+		self._cb.context = 0
+		self._cb.recognizeLowLevelIL = self._cb.recognizeLowLevelIL.__class__(self._recognize_low_level_il)
+
+	@classmethod
+	def register_global(cls):
+		if cls._instance is None:
+			cls._instance = cls()
+		core.BNRegisterGlobalFunctionRecognizer(cls._instance._cb)
+
+	@classmethod
+	def register_arch(cls, arch):
+		if cls._instance is None:
+			cls._instance = cls()
+		core.BNRegisterArchitectureFunctionRecognizer(arch.handle, cls._instance._cb)
+
+	def _recognize_low_level_il(self, ctxt, data, func, il):
+		try:
+			file_metadata = filemetadata.FileMetadata(handle = core.BNGetFileForView(data))
+			view = binaryview.BinaryView(file_metadata = file_metadata, handle = core.BNNewViewReference(data))
+			func = function.Function(view, handle = core.BNNewFunctionReference(func))
+			il = lowlevelil.LowLevelILFunction(func.arch, handle = core.BNNewLowLevelILFunctionReference(il))
+			return self.recognize_low_level_il(view, func, il)
+		except:
+			log.log_error(traceback.format_exc())
+			return False
+
+	def recognize_low_level_il(self, data, func, il):
+		return False
-- 
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