Merge pull request TulipCharts#24 from cirla/fix_22

Fix TulipCharts#22, Update to TI 0.8.3

.travis.yml

@@ -1,11 +1,19 @@
 language: python
-python:
-  - '2.7'
-  - '3.6'
+
+matrix:
+  include:
+    - python: 2.7
+    - python: 3.6
+    - python: 3.7
+      dist: xenial
+      sudo: true
+
 install:
   - pip install --upgrade pip setuptools wheel
   - pip install --only-binary=Cython,numpy -r requirements.txt
+
 script: make test
+
 deploy:
   provider: pypi
   user: cirla

README.md

@@ -29,7 +29,7 @@ ti.TI_VERSION
 
 
 
-    '0.8.2'
+    '0.8.3'
 
 
 

appveyor.yml

@@ -8,14 +8,14 @@ environment:
     - PYTHON: "C:\\Python27"
       PYTHON_VERSION: "2.7"
       PYTHON_ARCH: "32"
-    - PYTHON: "C:\\Python36"
-      PYTHON_VERSION: "3.6"
+    - PYTHON: "C:\\Python37"
+      PYTHON_VERSION: "3.7"
       PYTHON_ARCH: "32"
     - PYTHON: "C:\\Python27-x64"
       PYTHON_VERSION: "2.7"
       PYTHON_ARCH: "64"
-    - PYTHON: "C:\\Python36-x64"
-      PYTHON_VERSION: "3.6"
+    - PYTHON: "C:\\Python37-x64"
+      PYTHON_VERSION: "3.7"
       PYTHON_ARCH: "64"
 
 install:

libindicators/indicators.h

@@ -24,8 +24,8 @@
 
 /*
  *
- * Version 0.8.2
- * Header Build 1521563742
+ * Version 0.8.3
+ * Header Build 1535408446
  *
  */
 
@@ -39,11 +39,9 @@
 #define __TI_INDICATORS_H__
 
 
-#define TI_VERSION "0.8.2"
-#define TI_BUILD 1521563742
+#define TI_VERSION "0.8.3"
+#define TI_BUILD 1535408446
 
-const char* ti_version();
-long int ti_build();
 
 #ifndef TI_SKIP_SYSTEM_HEADERS
 #include <math.h>
@@ -57,13 +55,16 @@ extern "C" {
 #endif
 
 
+const char* ti_version();
+long int ti_build();
+
 
 
 
 
 #define TI_REAL double
 
-#define TI_INDICATOR_COUNT 103 /* Total number of indicators. */
+#define TI_INDICATOR_COUNT 104 /* Total number of indicators. */
 
 #define TI_OKAY                    0
 #define TI_INVALID_OPTION          1
@@ -1360,6 +1361,22 @@ int ti_stoch(int size,
 
 
 
+/* Stochastic RSI */
+/* Type: indicator */
+/* Input arrays: 1    Options: 1    Output arrays: 1 */
+/* Inputs: real */
+/* Options: period */
+/* Outputs: stochrsi */
+int ti_stochrsi_start(TI_REAL const *options);
+int ti_stochrsi(int size,
+      TI_REAL const *const *inputs,
+      TI_REAL const *options,
+      TI_REAL *const *outputs);
+
+
+
+
+
 /* Vector Subtraction */
 /* Type: simple */
 /* Input arrays: 2    Options: 0    Output arrays: 1 */

requirements.txt

@@ -1,2 +1,2 @@
-Cython==0.28.1
-numpy==1.14.2
+Cython==0.28.5
+numpy==1.15.1

setup.py

@@ -4,6 +4,9 @@
 import numpy as np
 from Cython.Distutils import build_ext
 
+with open('README.md') as f:
+    long_description = f.read()
+
 ext_modules = [
     Extension(name='tulipy.lib',
               sources=['libindicators/tiamalgamation.c', 'tulipy/lib/__init__.pyx'],
@@ -15,7 +18,9 @@
 setup(
     name='tulipy',
     description='Financial Technical Analysis Indicator Library. Python bindings for https://github.com/TulipCharts/tulipindicators',
-    version='0.2.1',
+    long_description=long_description,
+    long_description_content_type='text/markdown',
+    version='0.3.0',
     url='https://github.com/cirla/tulipy',
     author='https://github.com/cirla/tulipy/blob/master/AUTHORS',
     license='LGPL-3.0',

tulipy/lib/__init__.pyx

@@ -42,6 +42,9 @@ TI_BUILD   = ti.TI_BUILD
 class InvalidOptionError(ValueError):
     pass
 
+class InvalidInputError(ValueError):
+    pass
+
 cdef dict _type_names = {
     ti.TI_TYPE_OVERLAY:     b'overlay',
     ti.TI_TYPE_INDICATOR:   b'indicator',
@@ -105,7 +108,12 @@ cdef class _Indicator:
         cdef np.ndarray[np.float64_t, ndim=1, mode='c'] input_ref
 
         for i in range(self.info.inputs):
-            input_ref = inputs[i][-min_input_len:]
+            if inputs[i].dtype == np.float64:
+                input_ref = inputs[i][-min_input_len:]
+            elif np.issubdtype(inputs[i].dtype, np.number):
+                input_ref = inputs[i][-min_input_len:].astype(np.float64)
+            else:
+                raise InvalidInputError("Input arrays must have a numeric dtype")
             c_inputs[i] = &input_ref[0]
 
         cdef ti.TI_REAL * c_outputs[ti.TI_MAXINDPARAMS]