Removes dependency to pyquickhelper (#34)

* remove pyquickhelper

* doc

* fix documentation

* bypass warnings

* doc

Author: xadupre

_doc/conf.py

@@ -54,7 +54,7 @@
 
 # The following is used by sphinx.ext.linkcode to provide links to github
 linkcode_resolve = make_linkcode_resolve(
-    "mlstatpy",
+    "onnx-array-api",
     (
         "https://github.com/sdpython/onnx-array-api/"
         "blob/{revision}/{package}/"
@@ -114,6 +114,7 @@
         "https://data-apis.org/array-api/",
         ("2022.12/API_specification/generated/array_api.{0}.html", 1),
     ),
+    "cProfile.Profile": "https://docs.python.org/3/library/profile.html#profile.Profile",
     "DOT": "https://graphviz.org/doc/info/lang.html",
     "JIT": "https://en.wikipedia.org/wiki/Just-in-time_compilation",
     "onnx": "https://onnx.ai/onnx/",

_doc/examples/plot_benchmark_rf.py

@@ -25,7 +25,7 @@
 from onnxmltools.convert.xgboost.operator_converters.XGBoost import convert_xgboost
 from onnxruntime import InferenceSession, SessionOptions
 from psutil import cpu_count
-from pyquickhelper.loghelper import run_cmd
+from sphinx_runpython.runpython import run_cmd
 from skl2onnx import to_onnx, update_registered_converter
 from skl2onnx.common.shape_calculator import calculate_linear_regressor_output_shapes
 from sklearn import set_config

_doc/examples/plot_onnxruntime.py

@@ -45,7 +45,7 @@ def myloss(x, y):
 ###############################
 # Profiling
 # +++++++++
-from pyquickhelper.pycode.profiling import profile, profile2graph
+from onnx_array_api.profiling import profile, profile2graph
 
 x = np.random.randn(10000, 2).astype(np.float32)
 y = np.random.randn(10000, 2).astype(np.float32)

onnx_array_api/profiling.py

@@ -491,7 +491,7 @@ def profile2df(
     ::
 
         import pstats
-        from pyquickhelper.pycode.profiling import profile2df
+        from onnx_array_api.profiling import profile2df
 
         ps = pstats.Stats('bench_ortmodule_nn_gpu6.prof')
         df = profile2df(pd)
@@ -519,7 +519,7 @@ def profile(
     sort: str = "cumulative",
     rootrem: Optional[str] = None,
     as_df: bool = False,
-    return_results=False,
+    return_results: bool = False,
     **kwargs,
 ) -> str:
     """
@@ -532,17 +532,22 @@ def profile(
     :param as_df: return the results as a dataframe and not text
     :param return_results: if True, return results as well
         (in the first position)
-    :param kwargs: additional parameters used to create the profiler
+    :param kwargs: additional parameters used to create the profiler,
+        see :epkg:`cProfile.Profile`
     :return: raw results, statistics text dump (or dataframe is *as_df* is True)
 
     .. plot::
 
         import matplotlib.pyplot as plt
-        from pyquickhelper.pycode.profiling import profile
-        from pyquickhelper.texthelper import compare_module_version
+        from onnx_array_api.profiling import profile
+
+        def subf(x):
+            return sum(x)
 
         def fctm():
-            return compare_module_version('0.20.4', '0.22.dev0')
+            x1 = subf([1, 2, 3])
+            x2 = subf([1, 2, 3, 4])
+            return x1 + x2
 
         pr, df = profile(lambda: [fctm() for i in range(0, 1000)], as_df=True)
         ax = df[['namefct', 'cum_tall']].head(n=15).set_index(
@@ -585,8 +590,7 @@ def clean_text(res):
                         res = res.replace(sub[0], sub[1])
                     else:
                         raise TypeError(
-                            "rootrem must contains strings or tuple not {0}"
-                            ".".format(rootrem)
+                            f"rootrem must contains strings or tuple not {rootrem!r}."
                         )
         return res
 

requirements-dev.txt

@@ -15,7 +15,6 @@ openpyxl
 packaging
 pandas
 psutil
-pyquickhelper
 pytest
 pytest-cov
 rstcheck[sphinx,toml]