IntelPython · shssf · Nov 15, 2019 · Nov 15, 2019 · Nov 15, 2019
diff --git a/.coveragerc b/.coveragerc
@@ -1,15 +1,15 @@
 # configuration file used by run_coverage.py
 [run]
 branch = True
-source = hpat
+source = sdc
 concurrency = multiprocessing
 parallel = True
 
 [report]
 
 omit =
-    hpat/ml/*
-    hpat/xenon_ext.py
-    hpat/ros.py
-    hpat/cv_ext.py
-    hpat/tests/*
+    sdc/ml/*
+    sdc/xenon_ext.py
+    sdc/ros.py
+    sdc/cv_ext.py
+    sdc/tests/*
diff --git a/buildscripts/build.py b/buildscripts/build.py
@@ -17,7 +17,7 @@
 
 def run_smoke_tests(sdc_src, test_env_activate):
         sdc_pi_example = os.path.join(sdc_src, 'buildscripts', 'sdc_pi_example.py')
-        run_command(f'{test_env_activate} && python -c "import hpat"')
+        run_command(f'{test_env_activate} && python -c "import sdc"')
         run_command(f'{test_env_activate} && python {sdc_pi_example}')
 
 
@@ -104,13 +104,13 @@ def run_smoke_tests(sdc_src, test_env_activate):
     os.chdir(../sdc_src) is a workaround for the following error:
     Traceback (most recent call last):
         File "<string>", line 1, in <module>
-        File "hpat/hpat/__init__.py", line 9, in <module>
-            import hpat.dict_ext
-        File "hpat/hpat/dict_ext.py", line 12, in <module>
-            from hpat.str_ext import string_type, gen_unicode_to_std_str, gen_std_str_to_unicode
-        File "hpat/hpat/str_ext.py", line 18, in <module>
+        File "sdc/sdc/__init__.py", line 9, in <module>
+            import sdc.dict_ext
+        File "sdc/sdc/dict_ext.py", line 12, in <module>
+            from sdc.str_ext import string_type, gen_unicode_to_std_str, gen_std_str_to_unicode
+        File "sdc/sdc/str_ext.py", line 18, in <module>
             from . import hstr_ext
-    ImportError: cannot import name 'hstr_ext' from 'hpat' (hpat/hpat/__init__.py)
+    ImportError: cannot import name 'hstr_ext' from 'sdc' (sdc/sdc/__init__.py)
     """
     os.chdir(os.path.dirname(sdc_src))
 

diff --git a/buildscripts/sdc-conda-recipe/meta.yaml b/buildscripts/sdc-conda-recipe/meta.yaml
@@ -4,7 +4,7 @@
 {% set ARROW_CPP_VERSION = "==0.15.0" %}
 
 package:
-  name: hpat
+  name: sdc
   version: {{ GIT_DESCRIBE_TAG }}
 
 source:
@@ -58,13 +58,13 @@ test:
     - h5py
     - scipy
   imports:
-    - hpat
+    - sdc
 
 outputs:
   - type: conda
-    name: hpat
+    name: sdc
   - type: wheel
-    name: hpat
+    name: sdc
     requirements:
       build:
         - {{ compiler('c') }}

diff --git a/buildscripts/sdc-conda-recipe/run_test.bat b/buildscripts/sdc-conda-recipe/run_test.bat
@@ -4,15 +4,15 @@ set NUMBA_DEVELOPER_MODE=1
 set NUMBA_DISABLE_ERROR_MESSAGE_HIGHLIGHTING=1
 set PYTHONFAULTHANDLER=1
 
-python -m hpat.tests.gen_test_data
+python -m sdc.tests.gen_test_data
 if errorlevel 1 exit 1
 
 @rem TODO investigate root cause of NumbaPerformanceWarning
 @rem http://numba.pydata.org/numba-doc/latest/user/parallel.html#diagnostics
 IF "%SDC_NP_MPI%" == "" (
-    python -W ignore -u -m hpat.runtests -v
+    python -W ignore -u -m sdc.runtests -v
     ) ELSE (
-    mpiexec -localonly -n %SDC_NP_MPI% python -W ignore -u -m hpat.runtests -v)
+    mpiexec -localonly -n %SDC_NP_MPI% python -W ignore -u -m sdc.runtests -v)
 if errorlevel 1 exit 1
 
 REM Link check for Documentation using Sphinx's in-built linkchecker

diff --git a/buildscripts/sdc-conda-recipe/run_test.sh b/buildscripts/sdc-conda-recipe/run_test.sh
@@ -6,15 +6,15 @@ export NUMBA_DEVELOPER_MODE=1
 export NUMBA_DISABLE_ERROR_MESSAGE_HIGHLIGHTING=1
 export PYTHONFAULTHANDLER=1
 
-python -m hpat.tests.gen_test_data
+python -m sdc.tests.gen_test_data
 
 #Link check for Documentation using Sphinx's in-built linkchecker
 #sphinx-build -b linkcheck -j1 usersource _build/html
 
 # TODO investigate root cause of NumbaPerformanceWarning
 # http://numba.pydata.org/numba-doc/latest/user/parallel.html#diagnostics
 if [ -z "$SDC_NP_MPI" ]; then
-  python -W ignore -u -m hpat.runtests -v
+  python -W ignore -u -m sdc.runtests -v
 else
-  mpiexec -n $SDC_NP_MPI python -W ignore -u -m hpat.runtests -v
+  mpiexec -n $SDC_NP_MPI python -W ignore -u -m sdc.runtests -v
 fi
diff --git a/buildscripts/sdc_pi_example.py b/buildscripts/sdc_pi_example.py
@@ -1,9 +1,9 @@
-import hpat
+import sdc
 import numpy as np
 import time
 
 
-@hpat.jit
+@sdc.jit
 def calc_pi(n):
     t1 = time.time()
     x = 2 * np.random.ranf(n) - 1

diff --git a/buildscripts/test.py b/buildscripts/test.py
@@ -73,7 +73,7 @@
         os.environ['PYTHONPATH'] = '.'
         os.environ['HDF5_DIR'] = conda_prefix
         try:
-            run_command(f'{develop_env_activate} && python -m hpat.tests.gen_test_data && coverage erase && coverage run -m hpat.runtests && coveralls -v')
+            run_command(f'{develop_env_activate} && python -m sdc.tests.gen_test_data && coverage erase && coverage run -m sdc.runtests && coveralls -v')
         except:
             format_print('Coverage fails')
             print(traceback.format_exc())
@@ -85,13 +85,13 @@
         os.chdir(../sdc_src) is a workaround for the following error:
         Traceback (most recent call last):
             File "<string>", line 1, in <module>
-            File "hpat/hpat/__init__.py", line 9, in <module>
-                import hpat.dict_ext
-            File "hpat/hpat/dict_ext.py", line 12, in <module>
-                from hpat.str_ext import string_type, gen_unicode_to_std_str, gen_std_str_to_unicode
-            File "hpat/hpat/str_ext.py", line 18, in <module>
+            File "sdc/sdc/__init__.py", line 9, in <module>
+                import sdc.dict_ext
+            File "sdc/sdc/dict_ext.py", line 12, in <module>
+                from sdc.str_ext import string_type, gen_unicode_to_std_str, gen_std_str_to_unicode
+            File "sdc/sdc/str_ext.py", line 18, in <module>
                 from . import hstr_ext
-        ImportError: cannot import name 'hstr_ext' from 'hpat' (hpat/hpat/__init__.py)
+        ImportError: cannot import name 'hstr_ext' from 'sdc' (sdc/sdc/__init__.py)
         """
         os.chdir(os.path.dirname(sdc_src))
         run_command(f'{develop_env_activate} && {test_script}')
@@ -119,13 +119,13 @@
         os.chdir(../sdc_src) is a workaround for the following error:
         Traceback (most recent call last):
             File "<string>", line 1, in <module>
-            File "hpat/hpat/__init__.py", line 9, in <module>
-                import hpat.dict_ext
-            File "hpat/hpat/dict_ext.py", line 12, in <module>
-                from hpat.str_ext import string_type, gen_unicode_to_std_str, gen_std_str_to_unicode
-            File "hpat/hpat/str_ext.py", line 18, in <module>
+            File "sdc/sdc/__init__.py", line 9, in <module>
+                import sdc.dict_ext
+            File "sdc/sdc/dict_ext.py", line 12, in <module>
+                from sdc.str_ext import string_type, gen_unicode_to_std_str, gen_std_str_to_unicode
+            File "sdc/sdc/str_ext.py", line 18, in <module>
                 from . import hstr_ext
-        ImportError: cannot import name 'hstr_ext' from 'hpat' (hpat/hpat/__init__.py)
+        ImportError: cannot import name 'hstr_ext' from 'sdc' (sdc/sdc/__init__.py)
         """
         os.chdir(os.path.dirname(sdc_src))
         sdc_packages = get_sdc_build_packages(build_folder)

diff --git a/buildscripts/utilities.py b/buildscripts/utilities.py
@@ -76,7 +76,7 @@ def get_sdc_build_packages(build_output):
     sdc_build_dir = os.path.join(build_output, os_dir)
     for item in os.listdir(sdc_build_dir):
         item_path = os.path.join(sdc_build_dir, item)
-        if os.path.isfile(item_path) and re.search(r'^hpat.*\.tar\.bz2$|^hpat.*\.whl$', item):
+        if os.path.isfile(item_path) and re.search(r'^sdc.*\.tar\.bz2$|^sdc.*\.whl$', item):
             sdc_packages.append(item_path)
 
     return sdc_packages

diff --git a/docs/source/conf.py b/docs/source/conf.py
@@ -51,9 +51,9 @@
 
 if not sdc_doc_no_api_ref:
     try:
-        import hpat  # TODO: Rename hpat module name to sdc
+        import sdc  # TODO: Rename hpat module name to sdc
     except ImportError:
-        print('IMPORT EXCEPTION: Cannot import hpat. ')
+        print('IMPORT EXCEPTION: Cannot import sdc. ')
         print('Documentation generator for API Reference for a given module expects that module '
               'to be installed. Use conda/pip install hpat to install it prior to using API Reference generation')
         print('If you want to disable API Reference generation, set the environment variable SDC_DOC_NO_API_REF=1')
@@ -214,7 +214,7 @@
 # One entry per manual page. List of tuples
 # (source start file, name, description, authors, manual section).
 man_pages = [
-    (master_doc, 'hpat', 'HPAT Documentation',
+    (master_doc, 'sdc', 'HPAT Documentation',
      [author], 1)
 ]
 

diff --git a/docs/source/sdc2pd_name.py b/docs/source/sdc2pd_name.py
@@ -26,7 +26,7 @@
 
 import os
 import glob
-import hpat  # TODO: Rename hpat module name to sdc
+import sdc  # TODO: Rename hpat module name to sdc
 
 # *****************************************************************************************************
 # ***                                     PARSER CONFIGURATION                                      ***
@@ -139,7 +139,7 @@ def parse_file(fname):
 
 
 #  Get path to SDC module installed
-sdc_path = os.path.dirname(hpat.__file__)  # TODO: Change hpat to sdc
+sdc_path = os.path.dirname(sdc.__file__)  # TODO: Change hpat to sdc
 sdc_datatypes_path = os.path.join(sdc_path, "datatypes")
 sdc_datatypes_pathname_mask = os.path.join(sdc_datatypes_path, "*.py")
 

diff --git a/examples/Basic_DataFrame.py b/examples/Basic_DataFrame.py
@@ -27,18 +27,18 @@
 
 import pandas as pd
 import numpy as np
-import hpat
+import sdc
 
 
-@hpat.jit
+@sdc.jit
 def merge_df(n):
     df1 = pd.DataFrame({'key1': np.arange(n), 'A': np.arange(n) + 1.0})
     df2 = pd.DataFrame({'key2': n - np.arange(n), 'B': n + np.arange(n) + 1.0})
     df3 = pd.merge(df1, df2, left_on='key1', right_on='key2')
     return df3
 
 
-@hpat.jit
+@sdc.jit
 def concat_df(n):
     df1 = pd.DataFrame({'key1': np.arange(n), 'A': np.arange(n) + 1.0})
     df2 = pd.DataFrame({'key2': n - np.arange(n), 'A': n + np.arange(n) + 2.0})

diff --git a/examples/accel_example.py b/examples/accel_example.py
@@ -28,10 +28,10 @@
 import numpy as np
 import time
 import pandas as pd
-import hpat
+import sdc
 
 
-@hpat.jit
+@sdc.jit
 def accel_infer(n):
 
     t1 = time.time()

diff --git a/examples/d4p_kmeans.py b/examples/d4p_kmeans.py
@@ -27,11 +27,11 @@
 
 import daal4py
 import daal4py.hpat
-import hpat
+import sdc
 import numpy as np
 
 
-@hpat.jit(nopython=True)
+@sdc.jit(nopython=True)
 def kmeans(N, D, nClusters, maxit):
     a = np.random.ranf((N, D))  # doesn't make much sense, but ok for now
     kmi = daal4py.kmeans_init(nClusters, method='plusPlusDense')
@@ -42,4 +42,4 @@ def kmeans(N, D, nClusters, maxit):
 
 print(kmeans(10000, 20, 2, 30))
 
-hpat.distribution_report()
+sdc.distribution_report()
diff --git a/examples/d4p_linreg.py b/examples/d4p_linreg.py
@@ -27,17 +27,17 @@
 
 import daal4py
 import daal4py.hpat
-import hpat
+import sdc
 import numpy as np
 
 
-@hpat.jit
+@sdc.jit
 def lr_predict(N, D, model):
     data = np.random.ranf((N / 2, D))
     return daal4py.linear_regression_prediction().compute(data, model)
 
 
-@hpat.jit
+@sdc.jit
 def lr_train(N, D):
     data = np.random.ranf((N, D))
     gt = np.random.ranf((N, 2))
@@ -49,4 +49,4 @@ def lr_train(N, D):
 
 print(p_res.prediction[0], t_res.model.NumberOfBetas)
 
-hpat.distribution_report()
+sdc.distribution_report()
diff --git a/examples/hiframes_concat.py b/examples/hiframes_concat.py
@@ -27,10 +27,10 @@
 
 import pandas as pd
 import numpy as np
-import hpat
+import sdc
 
 
-@hpat.jit
+@sdc.jit
 def concat_df(n):
     df1 = pd.DataFrame({'key1': np.arange(n), 'A': np.arange(n) + 1.0})
     df2 = pd.DataFrame({'key2': n - np.arange(n), 'A': n + np.arange(n) + 1.0})
@@ -40,4 +40,4 @@ def concat_df(n):
 
 n = 10
 print(concat_df(n))
-# hpat.distribution_report()
+# sdc.distribution_report()
diff --git a/examples/hiframes_cumsum.py b/examples/hiframes_cumsum.py
@@ -27,10 +27,10 @@
 
 import pandas as pd
 import numpy as np
-import hpat
+import sdc
 
 
-@hpat.jit
+@sdc.jit
 def cumsum_df(n):
     df = pd.DataFrame({'A': np.arange(n) + 1.0, 'B': np.random.ranf(n)})
     Ac = df.A.cumsum()
@@ -39,4 +39,4 @@ def cumsum_df(n):
 
 n = 10
 print(cumsum_df(n))
-hpat.distribution_report()
+sdc.distribution_report()
diff --git a/examples/hiframes_filter.py b/examples/hiframes_filter.py
@@ -27,10 +27,10 @@
 
 import pandas as pd
 import numpy as np
-import hpat
+import sdc
 
 
-@hpat.jit
+@sdc.jit
 def filter_df(n):
     df = pd.DataFrame({'A': np.random.ranf(n), 'B': np.random.ranf(n)})
     df1 = df[df.A > .5]

diff --git a/examples/hiframes_merge.py b/examples/hiframes_merge.py
@@ -27,10 +27,10 @@
 
 import pandas as pd
 import numpy as np
-import hpat
+import sdc
 
 
-@hpat.jit
+@sdc.jit
 def merge_df(n):
     df1 = pd.DataFrame({'key1': np.arange(n), 'A': np.arange(n) + 1.0})
     df2 = pd.DataFrame({'key2': n - np.arange(n), 'B': n + np.arange(n) + 1.0})

diff --git a/examples/hiframes_pivot.py b/examples/hiframes_pivot.py
@@ -27,10 +27,10 @@
 
 import pandas as pd
 import numpy as np
-import hpat
+import sdc
 
 
-@hpat.jit(pivots={'pt': ['small', 'large']})
+@sdc.jit(pivots={'pt': ['small', 'large']})
 def df_pivot(df):
     pt = df.pivot_table(index='A', columns='C', values='D', aggfunc='sum')
     print(pt.small.values)