fix typos suggested by codespell

.codespell/ignore_words.txt

@@ -9,3 +9,6 @@ socio-economic
 
 ;; Frobenius norm used in np.linalg.norm
 fro
+
+;; library used for Python package release, no longer used
+rever

README.rst

@@ -190,7 +190,7 @@ trying to commit again.
 
 Improvements and fixes are always appreciated.
 
-Before contribuing, please read our `Code of Conduct <https://github.com/diffpy/diffpy.pdfmorph/blob/main/CODE_OF_CONDUCT.rst>`_.
+Before contributing, please read our `Code of Conduct <https://github.com/diffpy/diffpy.pdfmorph/blob/main/CODE_OF_CONDUCT.rst>`_.
 
 Contact
 -------

TUTORIAL.rst

@@ -148,7 +148,7 @@ Basic PDFmorph Workflow
 
        We are getting closer to an acceptably close fit to our data!
 
-    8. Finally, we will examine the stretch factor. Provide an intial
+    8. Finally, we will examine the stretch factor. Provide an initial
        guess by typing ::
 
             pdfmorph --scale=0.8 --smear=-0.08 --stretch=0.5 --rmin=1.5 --rmax=30 -a darkSub_rh20_C_01.gr darkSub_rh20_C_44.gr
@@ -183,5 +183,5 @@ Enjoy the software!
 Bug Reports
 -----------
 
-Please enjoy using our software! If you come accross any bugs in the
+Please enjoy using our software! If you come across any bugs in the
 application, please report them to [email protected]

doc/manual/acknowledgements.texinfo

@@ -1,7 +1,7 @@
 The PDFmorph app was developed by the Billinge group at Columbia University.
 The examples in the tutorial part of the manual were made possible by data
 collected by Soham Banerjee at Brookhaven National Laboratory,
-Benjamin Frandsen during his PhD at Columbia Unversity,
+Benjamin Frandsen during his PhD at Columbia University,
 and Long Yang from Tonji University.
 
 The DiffPy development team is the set of all contributors to DiffPy projects.

doc/manual/pdfmorph.texinfo

@@ -156,7 +156,7 @@ it has not been extensively tested beyond the PDF.
 It runs on Windows, Mac OS, Linux, and all major Unix systems.
 The source code is freely available at @url{https://github.com/diffpy/diffpy.pdfmorph}.
 
-If you come accross any bugs in the application, please open an
+If you come across any bugs in the application, please open an
 @url{https://github.com/diffpy/diffpy.pdfmorph/issues, issue} or email
 diffpy-dev@@googlegroups.com.
 
@@ -440,8 +440,8 @@ extra tutorial data @code{additionalData.zip}} before proceeding.
 @cindex  performing multiple morphs
 
 It may be useful to morph a PDF against multiple targets: for example, you may want
-to morph a PDF against a sequence of PDFs measured at various temepratures to determine
-whether a phase change has occured. PDFmorph currently allows users to morph a PDF
+to morph a PDF against a sequence of PDFs measured at various temperatures to determine
+whether a phase change has occurred. PDFmorph currently allows users to morph a PDF
 against all files in a selected directory and plot resulting @math{R_W} values from each morph.
 It is advised that the lowest temperature PDF be that morphed and the higher temperature PDFs
 act as targets as the smear morph is only able to account for increases in thermal motion.
@@ -619,15 +619,15 @@ Again, we can begin by plotting the bulk material against our nanoparticle.
 @example
 pdfmorph Ni_bulk.gr Ni_nano_spheroid.cgr
 @end example
-@item The nanoparticle shape of the calculated PDF is an oblate spheroid with equitorial
+@item The nanoparticle shape of the calculated PDF is an oblate spheroid with equatorial
 radius of about @math{12} and polar radius of about @math{6} (this information is contained
 within the @code{Ni_nano_spheroid.cgr} file). To apply the spheroidal shape effects onto the
 bulk, run
 @example
 pdfmorph Ni_bulk.gr Ni_nano_spheroid.cgr --radius=12 --pradius=6 -a
 @end example
 @itemize
-@item The @code{--radius} option corresponds to the equitorial radius.
+@item The @code{--radius} option corresponds to the equatorial radius.
 @item The @code{--pradius} option corresponds to the polar radius.
 @end itemize
 @item Run the same command without @code{-a} to refine. Refining should give
@@ -792,24 +792,24 @@ using atomic pair distribution function analysis. Phys. Rev. B, 76(11), 115413.
 The available shape morphs are listed below:
 @itemize
 @item @code{--radius=RADIUS} - Multiply the PDF by the nanoparticle form factor for a sphere of radius @code{RADIUS}.
-If used with @code{--pradius}, multiply the PDF by the nanoparticle form factor for a spheroid of equitorial radius
+If used with @code{--pradius}, multiply the PDF by the nanoparticle form factor for a spheroid of equatorial radius
 @code{RADIUS} and polar radius @code{PRADIUS}.
 @itemize
 @item The sphere form factor was computed by Kodama et al. @footnote{Kodama, K., Iikubo, S., Taguchi, T., &
 Shamoto, S. (2006). Finite size effects of nanoparticles on the atomic pair distribution functions.
 Acta Crystallographica Section A, 62(6), 444–453. @url{https://doi.org/10.1107/S0108767306034635}}.
 @end itemize
-@item @code{--pradius=PRADIUS} - Multiply the PDF by the nanoparticle form factor for a spheroid of equitorial radius
+@item @code{--pradius=PRADIUS} - Multiply the PDF by the nanoparticle form factor for a spheroid of equatorial radius
 @code{RADIUS} and polar radius @code{PRADIUS}.
 @itemize
 @item The spheroid form factor was computed by Lei et al. @footnote{Lei, M., de Graff, A. M. R., Thorpe, M. F., Wells,
 S. A., & Sartbaeva, A. (2009). Uncovering the intrinsic geometry from the atomic pair distribution function of
 nanomaterials. Phys. Rev. B, 80(2), 024118. @url{https://doi.org/10.1103/PhysRevB.80.024118}}.
 @end itemize
 @item @code{--iradius=IRADIUS} - Divide the PDF by the nanoparticle form factor for a sphere of radius @code{IRADIUS}.
-If used with @code{--ipradius}, divide the PDF by the nanoparticle form factor for a spheroid of equitorial radius
+If used with @code{--ipradius}, divide the PDF by the nanoparticle form factor for a spheroid of equatorial radius
 @code{IRADIUS} and polar radius @code{IPRADIUS}.
-@item @code{--ipradius=IPRADIUS} - Divide the PDF by the nanoparticle form factor for a spheroid of equitorial radius
+@item @code{--ipradius=IPRADIUS} - Divide the PDF by the nanoparticle form factor for a spheroid of equatorial radius
 @code{IRADIUS} and polar radius @code{IPRADIUS}.
 @end itemize
 
@@ -842,7 +842,7 @@ post-expansion. The volume of the nanoparticle also increases by a factor @math{
 @displaymath
 \gamma'_0(\vec{r}) = {1 \over {\alpha^3 V}} \int \int \int s'(\vec{r}')s'(\vec{r}'+\vec{r})d\vec{r}'.
 @end displaymath
-Aplying a change of variables @math{\vec{r}' \rightarrow \vec{r}' / \alpha} gives
+Applying a change of variables @math{\vec{r}' \rightarrow \vec{r}' / \alpha} gives
 @displaymath
 \gamma'_0(\vec{r}) = {1 \over {\alpha^3 V}} \int \int \int s'(\alpha \vec{r}')s'(\alpha \vec{r}'+\vec{r})\alpha^3d\vec{r}',
 @end displaymath
@@ -963,7 +963,7 @@ requires us to apply a Gaussian dampening envelope centered at @math{r=0} with w
 @noindent @code{--radius=RADIUS}
 @* @indent Apply the nanoparticle form factor @math{\gamma_0} for a sphere of radius @code{RADIUS}.
 If @code{PRADIUS} is also specified, instead apply the characteristic function of a spheroid with
-equitorial radius @code{RADIUS} and polar radius @code{PRADIUS}.
+equatorial radius @code{RADIUS} and polar radius @code{PRADIUS}.
 
 @noindent @code{--pradius=PRADIUS}
 @* @indent If @code{RADIUS} is also specified, see @code{--radius}. Otherwise, apply the characteristic
@@ -972,7 +972,7 @@ function of a sphere with radius @code{PRADIUS}.
 @noindent @code{--iradius=IRADIUS}
 @* @indent Apply the inverse characteristic function @math{1/\gamma_0} of a sphere of radius @code{IRADIUS}/
 If @code{IPRADIUS} is also specified, instead apply the characteristic function of a spheroid with
-equitorial radius @code{IRADIUS} and polar radius @code{PRADIUS}.
+equatorial radius @code{IRADIUS} and polar radius @code{PRADIUS}.
 
 @noindent @code{--ipradius=IPRADIUS}
 @* @indent If @code{IRADIUS} is also specified, see @code{--iradius}. Otherwise, apply the characteristic

doc/source/quickstart.rst

@@ -150,7 +150,7 @@ Basic PDFmorph Workflow
 
     We are getting closer to an acceptably close fit to our data!
 
-    8. Finally, we will examine the stretch factor. Provide an intial
+    8. Finally, we will examine the stretch factor. Provide an initial
        guess by typing ::
 
            pdfmorph --scale=0.8 --smear=-0.08 --stretch=0.5 --rmin=1.5 --rmax=30 -a darkSub_rh20_C_01.gr darkSub_rh20_C_44.gr
@@ -193,7 +193,7 @@ Performing Multiple Morphs
 
 It may be useful to morph a PDF against multiple targets:
 for example, you may want to morph a PDF against multiple PDFs measured
-at various temepratures to determine whether a phase change has occured.
+at various temperatures to determine whether a phase change has occurred.
 PDFmorph currently allows users to morph a PDF against all files in a
 selected directory and plot resulting :math:`R_w` values from each morph.
 
@@ -285,7 +285,7 @@ Currently, the supported nanoparticle shapes include: spheres and spheroids.
 
                pdfmorph Ni_bulk.gr Ni_nano_spheroid.cgr --radius=12 --pradius=6 -a
 
-           Note that the equitorial radius corresponds to the ``--radius`` parameter and polar radius to ``--pradius``.
+           Note that the equatorial radius corresponds to the ``--radius`` parameter and polar radius to ``--pradius``.
         3. Remove the ``-a`` tag to refine.
 
 There is also support for morphing from a nanoparticle to a bulk. When applying the inverse morphs,
@@ -294,5 +294,5 @@ it is recommended to set ``--rmax=psize`` where ``psize`` is the longest diamete
 Bug Reports
 ===========
 
-Please enjoy using our software! If you come accross any bugs in the
+Please enjoy using our software! If you come across any bugs in the
 application, please report them to [email protected].

pyproject.toml

@@ -57,7 +57,7 @@ dependencies = {file = ["requirements/pip.txt"]}
 [tool.codespell]
 exclude-file = ".codespell/ignore_lines.txt"
 ignore-words = ".codespell/ignore_words.txt"
-skip = "*.cif,*.dat"
+skip = "*.cif,*.dat,*agr"
 
 [tool.black]
 line-length = 115

src/diffpy/pdfmorph/pdfmorph_api.py

@@ -86,7 +86,7 @@ def pdfmorph(
     verbose=False,
     **kwargs,
 ):
-    """function to perfom PDF morphing.
+    """function to perform PDF morphing.
 
     Parameters
     ----------
@@ -142,7 +142,7 @@ def pdfmorph(
         - morph_chain: diffpy.pdfmorph.morphs.morphchain.MorphChain
               The instance of processed morph chain.
               Calling ``x_morph, y_morph, x_target, y_target = morph_chain.xyallout``
-              will conviniently retrun morphed data and reference data
+              will conveniently return morphed data and reference data
         - morphed_cfg: dict
               A dictionary of refined morphing parameters
         - rw: float
@@ -248,11 +248,11 @@ def plot_morph(chain, ax=None, **kwargs):
     ----------
     chain: diffpy.pdfmorph.morphs.morphchain.MorphChain
         An instance of processed morph chain.
-    ax: matplotlib.axes.Axes, optinal
+    ax: matplotlib.axes.Axes, optional
         An instance of Axes class to plot the morphing result.
         If ax is None, instances of new Figure and Axes will be created. Default to None.
     kwargs:
-        Additional keyword arguements will be passed to ``ax.plot(...**kwargs)``
+        Additional keyword arguments will be passed to ``ax.plot(...**kwargs)``
 
     Returns
     -------

src/diffpy/pdfmorph/pdfmorph_io.py

@@ -44,7 +44,7 @@ def single_morph_output(
     morph_results: dict
         Resulting data after morphing.
     save_file
-        Name of file to print to. If None (defualt) print to terminal.
+        Name of file to print to. If None (default) print to terminal.
     morph_file
         Name of the morphed PDF file. Required when printing to a non-terminal file.
     param xy_out: list

src/diffpy/pdfmorph/refine.py

@@ -71,7 +71,7 @@ def _pearson(self, pvals):
         """Pearson correlation function.
 
         This gives e**-p (vector), where p is the pearson correlation function.
-        We seek to minimize this, which occurrs when the correlation is the largest.
+        We seek to minimize this, which occurs when the correlation is the largest.
         """
         self._update_chain(pvals)
         _x_morph, _y_morph, _x_target, _y_target = self.chain(