Ficed bugs introduced by previous changes and added Scikit-Learn dpndncy

Data/Calibration.py

@@ -3,6 +3,8 @@ class CalCurve():
     def __init__(self):
         self.name = "None"
         self.formula = "y=x"
+        self.response = ""
+        self.units = ""
 
     def __call__(self, x):
         return x
@@ -16,6 +18,8 @@ class AlSi7Mg(CalCurve):
     def __init__(self):
         self.name = "AlSi7Mg"
         self.formula = "N/A"
+        self.response = "Temperature"
+        self.units = "°C"
 
     def __call__(self, x):
         return x
@@ -26,16 +30,20 @@ class Al6061(CalCurve):
     def __init__(self):
         self.name = "Al6061"
         self.formula = "T=(V+84.66)/1.45"
+        self.response = "Temperature"
+        self.units = "°C"
 
     def __call__(self, x):
         return (x + 84.661) / 1.4516
 
 
-class _15_5PH(CalCurve):
+class SS15_5PH(CalCurve):
 
     def __init__(self):
         self.name = "15-5PH Stainless Steel"
         self.formula = "N/A"
+        self.response = "Temperature"
+        self.units = "°C"
 
     def __call__(self, x):
         return x
@@ -46,6 +54,8 @@ class H13(CalCurve):
     def __init__(self):
         self.name = "H13 Tool Steel"
         self.formula = "N/A"
+        self.response = "Temperature"
+        self.units = "°C"
 
     def __call__(self, x):
         return x
@@ -56,6 +66,8 @@ class Inconel625(CalCurve):
     def __init__(self):
         self.name = "Inconel 625"
         self.formula = "N/A"
+        self.response = "Temperature"
+        self.units = "°C"
 
     def __call__(self, x):
         return x
@@ -66,6 +78,8 @@ class Inconel718(CalCurve):
     def __init__(self):
         self.name = "Inconel 718"
         self.formula = "N/A"
+        self.response = "Temperature"
+        self.units = "°C"
 
     def __call__(self, x):
         return x
@@ -76,6 +90,8 @@ class Custom(CalCurve):
     def __init__(self):
         self.name = "Custom"
         self.formula = "y=mx+c"
+        self.response = "Response"
+        self.units = "U"
 
     def __call__(self, x):
         return x

Data/ThresholdFunctions.py

@@ -1,4 +1,4 @@
-import operator as __op
+import operator as _op
 
 
 class __Base():
@@ -16,7 +16,7 @@ class Greater(__Base):
         self.name = ">"
 
     def __call__(self, *args):
-        return __op.gt(*args)
+        return _op.gt(*args)
 
 
 class GreaterOrEqual(__Base):
@@ -25,7 +25,7 @@ class GreaterOrEqual(__Base):
         self.name = "≥"
 
     def __call__(self, *args):
-        return __op.ge(*args)
+        return _op.ge(*args)
 
 
 class Equal(__Base):
@@ -34,7 +34,7 @@ class Equal(__Base):
         self.name = "="
 
     def __call__(self, *args):
-        return __op.eq(*args)
+        return _op.eq(*args)
 
 
 class NotEqual(__Base):
@@ -43,7 +43,7 @@ class NotEqual(__Base):
         self.name = "≠"
 
     def __call__(self, *args):
-        return __op.ne(*args)
+        return _op.ne(*args)
 
 
 class LessOrEqual(__Base):
@@ -52,7 +52,7 @@ class LessOrEqual(__Base):
         self.name = "≤"
 
     def __call__(self, *args):
-        return __op.le(*args)
+        return _op.le(*args)
 
 
 class Less(__Base):
@@ -61,4 +61,4 @@ class Less(__Base):
         self.name = "<"
 
     def __call__(self, *args):
-        return __op.lt(*args)
+        return _op.lt(*args)

Main/Main_Desktop.py

@@ -42,12 +42,12 @@ class Main(Screen):
         self.mtpy.progress_bars["_layers_to_3dplot"] = self.ids.layers_to_3dplot_progbar  # noqa
         self.mtpy.progress_bars["_layers_to_3dplot_interactive"] = self.ids.layers_to_3dplot_interactive_progbar  # noqa
         self.mtpy.progress_bars["samples_to_figures"] = self.ids.samples_to_figures_progbar  # noqa
-        self.mtpy.progress_bars["samples_to_3dplot"] = self.ids.samples_to_3dplot_progbar  # noqa
-        self.mtpy.progress_bars["samples_to_3dplot_interactive"] = self.ids.samples_to_3dplot_interactive_progbar  # noqa
+        self.mtpy.progress_bars["samples_to_3dplots"] = self.ids.samples_to_3dplots_progbar  # noqa
+        self.mtpy.progress_bars["samples_to_3dplots_interactive"] = self.ids.samples_to_3dplots_interactive_progbar  # noqa
         self.mtpy.progress_bars["separate_samples"] = self.ids.kmeans_separate_samples_progbar  # noqa
         # self.mtpy.progress_bars["threshold_all_layers"] = self.ids.avgspeed_threshold_progbar  # noqa
         # self.mtpy.progress_bars["threshold_all_layers"] = self.ids.avgtemp_threshold_progbar  # noqa
-        self.mtpy.progress_bars["temp_data_to_csv"] = self.ids.kmeans_separate_samples_progbar  # noqa
+        self.mtpy.progress_bars["temp_data_to_csv"] = self.ids.temp_data_to_csv_progbar  # noqa
         # Starting items in cache
         starting_cache = {
             # Shared variables
@@ -58,9 +58,9 @@ class Main(Screen):
             "calibration_curve": False,  # last cal curve used
             # Dropdown population lists
             "printer_types": ("None", "3D Systems", "Aconity", "GE Additive", "Renishaw", "Stratasys"),
-            "calibration_curves": [v() for k, v in Calibration.__dict__.items() if "__" not in k],
+            "calibration_curves": [v() for k, v in Calibration.__dict__.items() if k[0] != "_"],
             "static_fileformats": ("png", "pdf", "ps", "eps", "svg"),  # Allowed static formats
-            "thresh_functions": [v() for k, v in ThresholdFunctions.__dict__.items() if "__" not in k],
+            "thresh_functions": [v() for k, v in ThresholdFunctions.__dict__.items() if k[0] != "_"],
             # Progress Bars
             "progress_bars": self.mtpy.progress_bars
         }
@@ -74,18 +74,18 @@ class Main(Screen):
         # The dropdown for selecting the printer type
         self.ids.printer_type_dropdown.populate_dropdown(self.cache.printer_types)
         # The dropdown for calibration curves
-        self.ids.calibration_curve_dropdown.populate_dropdown(self.cache.calibration_curves)
+        self.ids.calibration_curve_dropdown.populate_dropdown(self.cache.calibration_curves, default_selection=None)
         # The dropdowns for matplotlib filetype options
         static_filetype_dropdowns = (
             self.ids.layers_to_figures_filetype_dropdown,
             self.ids.layers_to_3dplot_filetype_dropdown,
             self.ids.samples_to_figures_filetype_dropdown,
-            self.ids.samples_to_3dplot_filetype_dropdown,
+            self.ids.samples_to_3dplots_filetype_dropdown,
         )
         for dropdown in static_filetype_dropdowns:
             dropdown.populate_dropdown(self.cache.static_fileformats)
         # The dropdowns for the thresholding functions
-        self.ids.avgtemp_thresh_function_dropdown.populate_dropdown(self.cache.thresh_functions)
+        self.ids.avgtemp_thresh_function_dropdown.populate_dropdown(self.cache.thresh_functions, default_selection=">")
 
     # Property returns a string summarising the status of data processing
     @property
@@ -212,6 +212,7 @@ class Main(Screen):
         else:
             if cal_curve_selection is not self.cache.calibration_curve:
                 self.mtpy.apply_calibration_curve(cal_curve_selection)
+                self.mtpy.wlabel = f"{cal_curve_selection.response} ({cal_curve_selection.units})"
                 self.cache.calibration_curve = cal_curve_selection
                 self.update_data_status()
 
@@ -303,22 +304,22 @@ class Main(Screen):
                                      scatterparams=scatterparams)
 
     # A wrapper function translating application state into a call to the
-    # mtpy function samples_to_3dplot
+    # mtpy function samples_to_3dplots
     @run_in_thread
-    def samples_to_3dplot(self):
+    def samples_to_3dplots(self):
         # get filetype and if not allowed replace with default (png)
-        filetype = self.ids.samples_to_3dplot_filetype_dropdown.text
+        filetype = self.ids.samples_to_3dplots_filetype_dropdown.text
         if filetype not in self.cache.static_fileformats:
             filetype = "png"
         # get checkbox parameters
-        plot_w = self.ids.samples_to_3dplot_plot_w.active
-        colorbar = self.ids.samples_to_3dplot_colorbar.active
+        plot_w = self.ids.samples_to_3dplots_plot_w.active
+        colorbar = self.ids.samples_to_3dplots_colorbar.active
         # then parse kwarg params
         figureparams = self.parse_kwargs(
-            self.ids.samples_to_3dplot_figureparams.text)
+            self.ids.samples_to_3dplots_figureparams.text)
         plotparams = self.parse_kwargs(
-            self.ids.samples_to_3dplot_plotparams.text)
-        self.mtpy.samples_to_3dplot(self.cache.out_path,
+            self.ids.samples_to_3dplots_plotparams.text)
+        self.mtpy.samples_to_3dplots(self.cache.out_path,
                                     filetype=filetype,
                                     plot_w=plot_w,
                                     colorbar=colorbar,
@@ -328,18 +329,18 @@ class Main(Screen):
     # A wrapper function translating application state into a call to the
     # mtpy function layers_to_3dplot_interactive
     @run_in_thread
-    def samples_to_3dplot_interactive(self):
+    def samples_to_3dplots_interactive(self):
         # get checkbox parameters
-        plot_w = self.ids.samples_to_3dplot_interactive_plot_w.active
-        sliceable = self.ids.samples_to_3dplot_interactive_sliceable.active
-        downsampling = self.ids.samples_to_3dplot_interactive_downsampling.text
+        plot_w = self.ids.samples_to_3dplots_interactive_plot_w.active
+        sliceable = self.ids.samples_to_3dplots_interactive_sliceable.active
+        downsampling = self.ids.samples_to_3dplots_interactive_downsampling.text
         if downsampling == "":
             downsampling = 1
         else:
             downsampling = int(downsampling)
         # then parse kwarg params
-        plotparams = self.parse_kwargs(self.ids.samples_to_3dplot_interactive_plotparams.text)  # noqa
-        self.mtpy.samples_to_3dplot_interactive(self.cache.out_path,
+        plotparams = self.parse_kwargs(self.ids.samples_to_3dplots_interactive_plotparams.text)  # noqa
+        self.mtpy.samples_to_3dplots_interactive(self.cache.out_path,
                                                 plot_w=plot_w,
                                                 sliceable=sliceable,
                                                 downsampling=downsampling,
@@ -367,10 +368,7 @@ class Main(Screen):
     # mtpy module to threshold all layers based on temperature
     @run_in_thread
     def avgtemp_threshold(self):
-        # get filetype and if not allowed replace with default (png)
-        thresh_function = self.ids.avgtemp_thresh_function_dropdown.text
-        if thresh_function not in self.cache.thresh_functions.keys():
-            thresh_function = ">"
+        # thresh_function = self.ids.avgtemp_thresh_function_dropdown.text
         # get threshold percentage
         thresh_percent = float(self.ids.avgtemp_thresh_thresh_percent.text)
         # Link to progress bar (at time of call since this bar is shared)
@@ -380,7 +378,7 @@ class Main(Screen):
             self.mtpy.avgw_threshold,
             {
                 "threshold_percent": thresh_percent,
-                "comparison_func": self.cache.thresh_functions[thresh_function]
+                "comparison_func": self.ids.avgtemp_thresh_function_dropdown.current_selection
             }
         )
 
@@ -407,7 +405,7 @@ class Main(Screen):
     # This function generates datasheets
     @run_in_thread
     def temp_data_to_csv(self):
-        confidence_interval = self.ids.temp_data_to_csv_confinterval
+        confidence_interval = str(self.ids.temp_data_to_csv_confinterval)
         confidence_interval = confidence_interval.strip()
         if confidence_interval.isdigit():
             confidence_interval = float(confidence_interval)

Templates/dropdown_button.py

@@ -10,7 +10,7 @@ class DropdownButton(Button):
 
     def __init__(self,
                  option_list=None,
-                 default_selection=None,
+                 default_selection="None",
                  bound_textfields={},
                  **kwargs):
         # ensure "test" kwarg isnt present
@@ -34,15 +34,10 @@ class DropdownButton(Button):
         super(DropdownButton, self).__init__(**self.kwargs)
 
         if option_list is not None:
-            self.populate_dropdown(option_list)
-
-        if type(default_selection) == str:
-            self.current_selection = self.objects_dict[default_selection]
-        else:
-            self.current_selection = default_selection
+            self.populate_dropdown(option_list, default_selection)
 
     # Populates dropdown with contents of list given
-    def populate_dropdown(self, option_list):
+    def populate_dropdown(self, option_list, default_selection=None):
         kwargs = self.kwargs.copy()
         kwargs["size_hint_y"] = None
         if "height" not in kwargs:
@@ -55,7 +50,7 @@ class DropdownButton(Button):
 
         self.objects_dict = {str(x): x for x in option_list}
 
-        for x in self.objects_dict.keys():
+        for x in self.objects_dict:
             button = Button(text=x, **kwargs)
             button.bind(on_release=self._bind_button)
             self.dropdown_list.add_widget(button)
@@ -63,6 +58,9 @@ class DropdownButton(Button):
         self.bind(on_release=self.dropdown_list.open)
         self.dropdown_list.bind(on_select=self._select_item)
 
+        if default_selection is not None:
+            self._select_item(self, default_selection)
+
     # Function to bind button to dropdown
     def _bind_button(self, btn):
         self.dropdown_list.select(btn.text)

Templates/melter_desktop.kv

@@ -672,7 +672,7 @@
                         size_hint_y: row_y_hint
                         # This button will be a dropdown
                         DropdownButton:
-                            id: samples_to_3dplot_filetype_dropdown
+                            id: samples_to_3dplots_filetype_dropdown
                             text: "select file type (png)"
                             size_hint_x: 0.25
                             size_hint_y: 0.5
@@ -682,7 +682,7 @@
                             size_hint_y: 0.5
                             # Checkboxes for toggling plot colouring and colourbars
                             CheckBox:
-                                id: samples_to_3dplot_plot_w
+                                id: samples_to_3dplots_plot_w
                                 active: True
                                 size_hint_x: 0.1
                                 size_hint_y: 0.5
@@ -694,7 +694,7 @@
                                 halign: "left"
                                 valign: "middle"
                             CheckBox:
-                                id: samples_to_3dplot_colorbar
+                                id: samples_to_3dplots_colorbar
                                 active: True
                                 size_hint_x: 0.1
                                 size_hint_y: 0.5
@@ -707,23 +707,23 @@
                                 valign: "middle"
                         # Text input for layer/sample filters
                         TextInput:
-                            id: samples_to_3dplot_layerfilter
+                            id: samples_to_3dplots_layerfilter
                             size_hint_x: 0.25
                             size_hint_y: 0.5
                             hint_text: "Layer filter..."
                         TextInput:
-                            id: samples_to_3dplot_samplefilter
+                            id: samples_to_3dplots_samplefilter
                             size_hint_x: 0.25
                             size_hint_y: 0.5
                             hint_text: "Sample filter..."
                         # And text input for other figure parameters
                         TextInput:
-                            id: samples_to_3dplot_figureparams
+                            id: samples_to_3dplots_figureparams
                             size_hint_x: 0.5
                             size_hint_y: 0.5
                             hint_text: "Figure parameters..."
                         TextInput:
-                            id: samples_to_3dplot_plotparams
+                            id: samples_to_3dplots_plotparams
                             size_hint_x: 0.5
                             size_hint_y: 0.5
                             hint_text: "Plot parameters..."
@@ -733,9 +733,9 @@
                         text: "Generate static 3d\nsample figures"
                         size_hint_x: 0.25
                         size_hint_y: row_y_hint
-                        on_press: root.samples_to_3dplot()
+                        on_press: root.samples_to_3dplots()
                     ProgressBar:
-                        id: samples_to_3dplot_progbar
+                        id: samples_to_3dplots_progbar
                         size_hint_x: 0.75
                         size_hint_y: row_y_hint
                         value: 0
@@ -761,22 +761,22 @@
                             halign: "right"
                             valign: "middle"
                         TextInput:
-                            id: samples_to_3dplot_interactive_downsampling
+                            id: samples_to_3dplots_interactive_downsampling
                             hint_text: "1"
                             size_hint_x: 0.083
                             size_hint_y: 0.5
                         TextInput:
-                            id: samples_to_3dplot_interactive_layerfilter
+                            id: samples_to_3dplots_interactive_layerfilter
                             size_hint_x: 0.375
                             size_hint_y: 0.5
                             hint_text: "Layer Filter..."
                         TextInput:
-                            id: samples_to_3dplot_interactive_samplefilter
+                            id: samples_to_3dplots_interactive_samplefilter
                             size_hint_x: 0.375
                             size_hint_y: 0.5
                             hint_text: "Sample Filter..."
                         CheckBox:
-                            id: samples_to_3dplot_interactive_plot_w
+                            id: samples_to_3dplots_interactive_plot_w
                             active: True
                             size_hint_x: 0.025
                             size_hint_y: 0.5
@@ -788,7 +788,7 @@
                             halign: "left"
                             valign: "middle"
                         CheckBox:
-                            id: samples_to_3dplot_interactive_sliceable
+                            id: samples_to_3dplots_interactive_sliceable
                             active: True
                             size_hint_x: 0.025
                             size_hint_y: 0.5
@@ -800,7 +800,7 @@
                             halign: "left"
                             valign: "middle"
                         TextInput:
-                            id: samples_to_3dplot_interactive_plotparams
+                            id: samples_to_3dplots_interactive_plotparams
                             size_hint_x: 0.75
                             size_hint_y: 0.5
                             hint_text: "Plot parameters..."
@@ -810,9 +810,9 @@
                         text: "Generate interactive 3d\nsample figures"
                         size_hint_x: 0.25
                         size_hint_y: row_y_hint
-                        on_press: root.samples_to_3dplot_interactive()
+                        on_press: root.samples_to_3dplots_interactive()
                     ProgressBar:
-                        id: samples_to_3dplot_interactive_progbar
+                        id: samples_to_3dplots_interactive_progbar
                         size_hint_x: 0.75
                         size_hint_y: row_y_hint
                         value: 0

poetry.lock

@@ -108,6 +108,14 @@ category = "main"
 optional = false
 python-versions = ">=3.5"
 
+[[package]]
+name = "joblib"
+version = "1.1.0"
+description = "Lightweight pipelining with Python functions"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "kivy"
 version = "2.0.0"
@@ -446,6 +454,26 @@ urllib3 = ">=1.21.1,<1.27"
 socks = ["PySocks (>=1.5.6,!=1.5.7)", "win-inet-pton"]
 use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"]
 
+[[package]]
+name = "scikit-learn"
+version = "1.0.2"
+description = "A set of python modules for machine learning and data mining"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+joblib = ">=0.11"
+numpy = ">=1.14.6"
+scipy = ">=1.1.0"
+threadpoolctl = ">=2.0.0"
+
+[package.extras]
+benchmark = ["matplotlib (>=2.2.3)", "pandas (>=0.25.0)", "memory-profiler (>=0.57.0)"]
+docs = ["matplotlib (>=2.2.3)", "scikit-image (>=0.14.5)", "pandas (>=0.25.0)", "seaborn (>=0.9.0)", "memory-profiler (>=0.57.0)", "sphinx (>=4.0.1)", "sphinx-gallery (>=0.7.0)", "numpydoc (>=1.0.0)", "Pillow (>=7.1.2)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
+examples = ["matplotlib (>=2.2.3)", "scikit-image (>=0.14.5)", "pandas (>=0.25.0)", "seaborn (>=0.9.0)"]
+tests = ["matplotlib (>=2.2.3)", "scikit-image (>=0.14.5)", "pandas (>=0.25.0)", "pytest (>=5.0.1)", "pytest-cov (>=2.9.0)", "flake8 (>=3.8.2)", "black (>=21.6b0)", "mypy (>=0.770)", "pyamg (>=4.0.0)"]
+
 [[package]]
 name = "scipy"
 version = "1.8.0"
@@ -492,6 +520,14 @@ python-versions = ">=3.6"
 [package.extras]
 doc = ["reno", "sphinx", "tornado (>=4.5)"]
 
+[[package]]
+name = "threadpoolctl"
+version = "3.1.0"
+description = "threadpoolctl"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "tomli"
 version = "2.0.1"
@@ -540,7 +576,7 @@ python-versions = "*"
 [metadata]
 lock-version = "1.1"
 python-versions = "3.9.10"
-content-hash = "5c3096aa86126e5494ad825be7e62c0138e33e076ff2fb09d0d2e7b1c0a1b198"
+content-hash = "ff2c32b9689293a65aaf606d637beb00185917031f036baf242a1baf055b86f4"
 
 [metadata.files]
 altgraph = [
@@ -586,6 +622,10 @@ idna = [
     {file = "idna-3.3-py3-none-any.whl", hash = "sha256:84d9dd047ffa80596e0f246e2eab0b391788b0503584e8945f2368256d2735ff"},
     {file = "idna-3.3.tar.gz", hash = "sha256:9d643ff0a55b762d5cdb124b8eaa99c66322e2157b69160bc32796e824360e6d"},
 ]
+joblib = [
+    {file = "joblib-1.1.0-py2.py3-none-any.whl", hash = "sha256:f21f109b3c7ff9d95f8387f752d0d9c34a02aa2f7060c2135f465da0e5160ff6"},
+    {file = "joblib-1.1.0.tar.gz", hash = "sha256:4158fcecd13733f8be669be0683b96ebdbbd38d23559f54dca7205aea1bf1e35"},
+]
 kivy = [
     {file = "Kivy-2.0.0-cp36-cp36m-macosx_10_14_x86_64.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl", hash = "sha256:256846daa1a35b54b00426f7468423a962c3d8f909d7e8c713acab55c3281dee"},
     {file = "Kivy-2.0.0-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:bfb6b801599eac5aa9388308119d42a637a495945c79e2e2a3f6ef60c563c770"},
@@ -899,6 +939,40 @@ requests = [
     {file = "requests-2.27.1-py2.py3-none-any.whl", hash = "sha256:f22fa1e554c9ddfd16e6e41ac79759e17be9e492b3587efa038054674760e72d"},
     {file = "requests-2.27.1.tar.gz", hash = "sha256:68d7c56fd5a8999887728ef304a6d12edc7be74f1cfa47714fc8b414525c9a61"},
 ]
+scikit-learn = [
+    {file = "scikit-learn-1.0.2.tar.gz", hash = "sha256:b5870959a5484b614f26d31ca4c17524b1b0317522199dc985c3b4256e030767"},
+    {file = "scikit_learn-1.0.2-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:da3c84694ff693b5b3194d8752ccf935a665b8b5edc33a283122f4273ca3e687"},
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 scipy = [
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@@ -936,6 +1010,10 @@ tenacity = [
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 ]
+threadpoolctl = [
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+]
 tomli = [
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     {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},

pyproject.toml

@@ -15,6 +15,7 @@ scipy = "^1.8.0"
 tqdm = "^4.62.3"
 pyinstaller = "^4.9"
 PySDL2 = {version = "^0.9.11", platform = "win32"}
+scikit-learn = "^1.0.2"
 
 [tool.poetry.dev-dependencies]
 pytest = "^5.2"