Cannot install caimanmanager.py

Tell us a bit about your setup:
1. Operating system (Linux/macOS/Windows): Windows 10 Home 64-bit (10.0, Build 18362)
2. Python version (3.x): Python 3.7.3
3. Working environment (Python IDE/Jupyter Notebook/other): CMD Visual Studio Code
4. Which of the demo scripts you're using for your analysis (if applicable): n/a
5. CaImAn version*: n/a
6. CaImAn installation process (pip install ./pip install -e ./conda): pip install -e .

*You can get the CaImAn version by creating a params object and then typing params.data['caiman_version']. If the field doesn't exist, type N/A and consider upgrading)

Describe the issue that you are experiencing When trying to install caimanmanager.py via python caimanmanager.py install --inplace in the command prompt I get the following error:
Copy error log below (caiman) D:\Repos\CaImAn>python caimanmanager.py install --inplace Traceback (most recent call last): File "caimanmanager.py", line 16, in from caiman.paths import caiman_datadir File "D:\Repos\CaImAn\caiman__init__.py", line 3, in from .base.movies import movie, load, load_movie_chain File "D:\Repos\CaImAn\caiman\base\movies.py", line 26, in import pylab as pl File "D:\Anaconda3\envs\caiman\lib\site-packages\pylab.py", line 1, in from matplotlib.pylab import * File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\pylab.py", line 235, in from matplotlib import cbook, mlab, pyplot as plt File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\pyplot.py", line 2349, in switch_backend(rcParams["backend"]) File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib__init.py", line 833, in getitem plt.switch_backend(rcsetup._auto_backend_sentinel) File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\pyplot.py", line 204, in switch_backend switch_backend(candidate) File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\pyplot.py", line 221, in switch_backend backend_mod = importlib.import_module(backend_name) File "D:\Anaconda3\envs\caiman\lib\importlib\init__.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\backends\backend_qt5agg.py", line 11, in from .backend_qt5 import ( File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\backends\backend_qt5.py", line 15, in import matplotlib.backends.qt_editor.figureoptions as figureoptions File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\backends\qt_editor\figureoptions.py", line 13, in from matplotlib.backends.qt_compat import QtGui File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\backends\qt_compat.py", line 153, in _setup() File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\backends\qt_compat.py", line 116, in _setup_pyqt4 _setup_pyqt4_internal(api=2) File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\backends\qt_compat.py", line 101, in _setup_pyqt4_internal sip.setapi(_sip_api, api) AttributeError: module 'sip' has no attribute 'setapi'

Hi, Right now it looks like somehow matplotlib's qt backend is trying to render to qt4 libraries, and the underlying APIs between qt4 and qt5 are not compatible. My guess is that you previously used some qt4 apps that saved a config that's now giving us problems. Let's find that config file.

From inside your caiman environment, please do the following and send me the result:

python -c 'import matplotlib; print(matplotlib.matplotlib_fname())'

When doing this in the prompt I get the following error:

(caiman) D:\Repos\CaImAn>python -c 'import matplotlib; print(matplotlib.matplotlib_fname())' File "", line 1 'import ^ SyntaxError: EOL while scanning string literal

When doing the following in a test.py file (I chose caiman's python interpreter) I get another error message:

(What I tried)

import matplotlib print(matplotlib.matplotlib_fname())

(Error)

>>> import matplotlib Traceback (most recent call last): File "D:\Anaconda3\envs\caiman\lib\site-packages\numpy\core__init__.py", line 17, in from . import multiarray File "D:\Anaconda3\envs\caiman\lib\site-packages\numpy\core\multiarray.py", line 14, in from . import overrides File "D:\Anaconda3\envs\caiman\lib\site-packages\numpy\core\overrides.py", line 7, in from numpy.core._multiarray_umath import ( ImportError: DLL load failed: The specified module could not be found.

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "", line 1, in File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib__init.py", line 138, in from . import cbook, rcsetup File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\cbook\init.py", line 31, in import numpy as np File "D:\Anaconda3\envs\caiman\lib\site-packages\numpy\init.py", line 142, in from . import core File "D:\Anaconda3\envs\caiman\lib\site-packages\numpy\core\init__.py", line 47, in raise ImportError(msg) ImportError:

IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!

Importing the numpy c-extensions failed.

Try uninstalling and reinstalling numpy.

If you have already done that, then:

Check that you expected to use Python3.7 from "D:\Anaconda3\envs\caiman\python.exe", and that you have no directories in your PATH or PYTHONPATH that can interfere with the Python and numpy version "1.17.3" you're trying to use.

If (1) looks fine, you can open a new issue at https://github.com/numpy/numpy/issues. Please include details on:

how you installed Python

your operating system

whether or not you have multiple versions of Python installed

if you built from source, your compiler versions and ideally a build log

If you're working with a numpy git repository, try git clean -xdf (removes all files not under version control) and rebuild numpy.

Note: this error has many possible causes, so please don't comment on an existing issue about this - open a new one instead.

Original error was: DLL load failed: The specified module could not be found.

I didn't tackle the advice above right now since it seems to me that this is another problem. I have to say that I'm a total beginner to Python with very little experience in repository and environmental structure of this language. So maybe I didn't see a totally obvious problem. Sorry for that.

I had forgotten that on windows, it must be double quotes rather than single quotes, for that commandline above.

Can you try it again with double quotes? Meaning:

python -c "import matplotlib; print(matplotlib.matplotlib_fname())"

It worked:

(caiman) D:\Repos\CaImAn>python -c "import matplotlib; print(matplotlib.matplotlib_fname())" D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\mpl-data\matplotlibrc

Can you open that file in an editor and give it a look? If it's not too big maybe paste it in here?

Hope it's not too big...

#### MATPLOTLIBRC FORMAT

## This is a sample matplotlib configuration file - you can find a copy ## of it on your system in ## site-packages/matplotlib/mpl-data/matplotlibrc. If you edit it ## there, please note that it will be overwritten in your next install. ## If you want to keep a permanent local copy that will not be ## overwritten, place it in the following location: ## unix/linux: ## $HOME/.config/matplotlib/matplotlibrc or ## $XDG_CONFIG_HOME/matplotlib/matplotlibrc (if $XDG_CONFIG_HOME is set) ## other platforms: ## $HOME/.matplotlib/matplotlibrc ## ## See http://matplotlib.org/users/customizing.html#the-matplotlibrc-file for ## more details on the paths which are checked for the configuration file. ## ## This file is best viewed in a editor which supports python mode ## syntax highlighting. Blank lines, or lines starting with a comment ## symbol, are ignored, as are trailing comments. Other lines must ## have the format ## key : val ## optional comment ## ## Colors: for the color values below, you can either use - a ## matplotlib color string, such as r, k, or b - an rgb tuple, such as ## (1.0, 0.5, 0.0) - a hex string, such as ff00ff - a scalar ## grayscale intensity such as 0.75 - a legal html color name, e.g., red, ## blue, darkslategray

##### CONFIGURATION BEGINS HERE

## The default backend. If you omit this parameter, the first ## working backend from the following list is used: ## MacOSX Qt5Agg Qt4Agg Gtk3Agg TkAgg WxAgg Agg ## ## Other choices include: ## Qt5Cairo Qt4Cairo GTK3Cairo TkCairo WxCairo Cairo Wx PS PDF SVG Template. ## ## You can also deploy your own backend outside of matplotlib by ## referring to the module name (which must be in the PYTHONPATH) as ## 'module://my_backend'. #backend : Agg

## Note that this can be overridden by the environment variable ## QT_API used by Enthought Tool Suite (ETS); valid values are ## "pyqt" and "pyside". The "pyqt" setting has the side effect of ## forcing the use of Version 2 API for QString and QVariant.

## The port to use for the web server in the WebAgg backend. #webagg.port : 8988

## The address on which the WebAgg web server should be reachable #webagg.address : 127.0.0.1

## If webagg.port is unavailable, a number of other random ports will ## be tried until one that is available is found. #webagg.port_retries : 50

## When True, open the webbrowser to the plot that is shown #webagg.open_in_browser : True

## if you are running pyplot inside a GUI and your backend choice ## conflicts, we will automatically try to find a compatible one for ## you if backend_fallback is True #backend_fallback: True

#interactive : False #toolbar : toolbar2 ## None | toolbar2 ("classic" is deprecated) #timezone : UTC ## a pytz timezone string, e.g., US/Central or Europe/Paris

## Where your matplotlib data lives if you installed to a non-default ## location. This is where the matplotlib fonts, bitmaps, etc reside #datapath : /home/jdhunter/mpldata

#### LINES ## See http://matplotlib.org/api/artist_api.html#module-matplotlib.lines for more ## information on line properties. #lines.linewidth : 1.5 ## line width in points #lines.linestyle : - ## solid line #lines.color : C0 ## has no affect on plot(); see axes.prop_cycle #lines.marker : None ## the default marker #lines.markerfacecolor : auto ## the default markerfacecolor #lines.markeredgecolor : auto ## the default markeredgecolor #lines.markeredgewidth : 1.0 ## the line width around the marker symbol #lines.markersize : 6 ## markersize, in points #lines.dash_joinstyle : round ## miter|round|bevel #lines.dash_capstyle : butt ## butt|round|projecting #lines.solid_joinstyle : round ## miter|round|bevel #lines.solid_capstyle : projecting ## butt|round|projecting #lines.antialiased : True ## render lines in antialiased (no jaggies)

## The three standard dash patterns. These are scaled by the linewidth. #lines.dashed_pattern : 3.7, 1.6 #lines.dashdot_pattern : 6.4, 1.6, 1, 1.6 #lines.dotted_pattern : 1, 1.65 #lines.scale_dashes : True

#### PATCHES ## Patches are graphical objects that fill 2D space, like polygons or ## circles. See ## http://matplotlib.org/api/artist_api.html#module-matplotlib.patches ## information on patch properties #patch.linewidth : 1 ## edge width in points. #patch.facecolor : C0 #patch.edgecolor : black ## if forced, or patch is not filled #patch.force_edgecolor : False ## True to always use edgecolor #patch.antialiased : True ## render patches in antialiased (no jaggies)

#### HATCHES #hatch.color : black #hatch.linewidth : 1.0

#### Boxplot #boxplot.notch : False #boxplot.vertical : True #boxplot.whiskers : 1.5 #boxplot.bootstrap : None #boxplot.patchartist : False #boxplot.showmeans : False #boxplot.showcaps : True #boxplot.showbox : True #boxplot.showfliers : True #boxplot.meanline : False

#boxplot.flierprops.color : black #boxplot.flierprops.marker : o #boxplot.flierprops.markerfacecolor : none #boxplot.flierprops.markeredgecolor : black #boxplot.flierprops.markeredgewidth : 1.0 #boxplot.flierprops.markersize : 6 #boxplot.flierprops.linestyle : none #boxplot.flierprops.linewidth : 1.0

#boxplot.boxprops.color : black #boxplot.boxprops.linewidth : 1.0 #boxplot.boxprops.linestyle : -

#boxplot.whiskerprops.color : black #boxplot.whiskerprops.linewidth : 1.0 #boxplot.whiskerprops.linestyle : -

#boxplot.capprops.color : black #boxplot.capprops.linewidth : 1.0 #boxplot.capprops.linestyle : -

#boxplot.medianprops.color : C1 #boxplot.medianprops.linewidth : 1.0 #boxplot.medianprops.linestyle : -

#boxplot.meanprops.color : C2 #boxplot.meanprops.marker : ^ #boxplot.meanprops.markerfacecolor : C2 #boxplot.meanprops.markeredgecolor : C2 #boxplot.meanprops.markersize : 6 #boxplot.meanprops.linestyle : -- #boxplot.meanprops.linewidth : 1.0

#### FONT

## font properties used by text.Text. See ## http://matplotlib.org/api/font_manager_api.html for more ## information on font properties. The 6 font properties used for font ## matching are given below with their default values. ## ## The font.family property has five values: 'serif' (e.g., Times), ## 'sans-serif' (e.g., Helvetica), 'cursive' (e.g., Zapf-Chancery), ## 'fantasy' (e.g., Western), and 'monospace' (e.g., Courier). Each of ## these font families has a default list of font names in decreasing ## order of priority associated with them. When text.usetex is False, ## font.family may also be one or more concrete font names. ## ## The font.style property has three values: normal (or roman), italic ## or oblique. The oblique style will be used for italic, if it is not ## present. ## ## The font.variant property has two values: normal or small-caps. For ## TrueType fonts, which are scalable fonts, small-caps is equivalent ## to using a font size of 'smaller', or about 83%% of the current font ## size. ## ## The font.weight property has effectively 13 values: normal, bold, ## bolder, lighter, 100, 200, 300, ..., 900. Normal is the same as ## 400, and bold is 700. bolder and lighter are relative values with ## respect to the current weight. ## ## The font.stretch property has 11 values: ultra-condensed, ## extra-condensed, condensed, semi-condensed, normal, semi-expanded, ## expanded, extra-expanded, ultra-expanded, wider, and narrower. This ## property is not currently implemented. ## ## The font.size property is the default font size for text, given in pts. ## 10 pt is the standard value.

#font.family : sans-serif #font.style : normal #font.variant : normal #font.weight : normal #font.stretch : normal ## note that font.size controls default text sizes. To configure ## special text sizes tick labels, axes, labels, title, etc, see the rc ## settings for axes and ticks. Special text sizes can be defined ## relative to font.size, using the following values: xx-small, x-small, ## small, medium, large, x-large, xx-large, larger, or smaller #font.size : 10.0 #font.serif : DejaVu Serif, Bitstream Vera Serif, Computer Modern Roman, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif #font.sans-serif : DejaVu Sans, Bitstream Vera Sans, Computer Modern Sans Serif, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif #font.cursive : Apple Chancery, Textile, Zapf Chancery, Sand, Script MT, Felipa, cursive #font.fantasy : Comic Sans MS, Chicago, Charcoal, ImpactWestern, Humor Sans, xkcd, fantasy #font.monospace : DejaVu Sans Mono, Bitstream Vera Sans Mono, Computer Modern Typewriter, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace

#### TEXT ## text properties used by text.Text. See ## http://matplotlib.org/api/artist_api.html#module-matplotlib.text for more ## information on text properties #text.color : black

#### LaTeX customizations. See http://wiki.scipy.org/Cookbook/Matplotlib/UsingTex #text.usetex : False ## use latex for all text handling. The following fonts ## are supported through the usual rc parameter settings: ## new century schoolbook, bookman, times, palatino, ## zapf chancery, charter, serif, sans-serif, helvetica, ## avant garde, courier, monospace, computer modern roman, ## computer modern sans serif, computer modern typewriter ## If another font is desired which can loaded using the ## LaTeX \usepackage command, please inquire at the ## matplotlib mailing list #text.latex.preamble : ## IMPROPER USE OF THIS FEATURE WILL LEAD TO LATEX FAILURES ## AND IS THEREFORE UNSUPPORTED. PLEASE DO NOT ASK FOR HELP ## IF THIS FEATURE DOES NOT DO WHAT YOU EXPECT IT TO. ## text.latex.preamble is a single line of LaTeX code that ## will be passed on to the LaTeX system. It may contain ## any code that is valid for the LaTeX "preamble", i.e. ## between the "\documentclass" and "\begin{document}" ## statements. ## Note that it has to be put on a single line, which may ## become quite long. ## The following packages are always loaded with usetex, so ## beware of package collisions: color, geometry, graphicx, ## type1cm, textcomp. ## Adobe Postscript (PSSNFS) font packages may also be ## loaded, depending on your font settings. #text.latex.preview : False

#text.hinting : auto ## May be one of the following: ## none: Perform no hinting ## auto: Use FreeType's autohinter ## native: Use the hinting information in the # font file, if available, and if your # FreeType library supports it ## either: Use the native hinting information, # or the autohinter if none is available. ## For backward compatibility, this value may also be ## True === 'auto' or False === 'none'. #text.hinting_factor : 8 ## Specifies the amount of softness for hinting in the ## horizontal direction. A value of 1 will hint to full ## pixels. A value of 2 will hint to half pixels etc. #text.antialiased : True ## If True (default), the text will be antialiased. ## This only affects the Agg backend.

## The following settings allow you to select the fonts in math mode. ## They map from a TeX font name to a fontconfig font pattern. ## These settings are only used if mathtext.fontset is 'custom'. ## Note that this "custom" mode is unsupported and may go away in the ## future. #mathtext.cal : cursive #mathtext.rm : sans #mathtext.tt : monospace #mathtext.it : sans:italic #mathtext.bf : sans:bold #mathtext.sf : sans #mathtext.fontset : dejavusans ## Should be 'dejavusans' (default), ## 'dejavuserif', 'cm' (Computer Modern), 'stix', ## 'stixsans' or 'custom' #mathtext.fallback_to_cm : True ## When True, use symbols from the Computer Modern ## fonts when a symbol can not be found in one of ## the custom math fonts. #mathtext.default : it ## The default font to use for math. ## Can be any of the LaTeX font names, including ## the special name "regular" for the same font ## used in regular text.

#### AXES ## default face and edge color, default tick sizes, ## default fontsizes for ticklabels, and so on. See ## http://matplotlib.org/api/axes_api.html#module-matplotlib.axes #axes.facecolor : white ## axes background color #axes.edgecolor : black ## axes edge color #axes.linewidth : 0.8 ## edge linewidth #axes.grid : False ## display grid or not #axes.grid.axis : both ## which axis the grid should apply to #axes.grid.which : major ## gridlines at major, minor or both ticks #axes.titlesize : large ## fontsize of the axes title #axes.titleweight : normal ## font weight of title #axes.titlepad : 6.0 ## pad between axes and title in points #axes.labelsize : medium ## fontsize of the x any y labels #axes.labelpad : 4.0 ## space between label and axis #axes.labelweight : normal ## weight of the x and y labels #axes.labelcolor : black #axes.axisbelow : line ## draw axis gridlines and ticks below ## patches (True); above patches but below ## lines ('line'); or above all (False) #axes.formatter.limits : -7, 7 ## use scientific notation if log10 ## of the axis range is smaller than the ## first or larger than the second #axes.formatter.use_locale : False ## When True, format tick labels ## according to the user's locale. ## For example, use ',' as a decimal ## separator in the fr_FR locale. #axes.formatter.use_mathtext : False ## When True, use mathtext for scientific ## notation. #axes.formatter.min_exponent: 0 ## minimum exponent to format in scientific notation #axes.formatter.useoffset : True ## If True, the tick label formatter ## will default to labeling ticks relative ## to an offset when the data range is ## small compared to the minimum absolute ## value of the data. #axes.formatter.offset_threshold : 4 ## When useoffset is True, the offset ## will be used when it can remove ## at least this number of significant ## digits from tick labels. #axes.spines.left : True ## display axis spines #axes.spines.bottom : True #axes.spines.top : True #axes.spines.right : True #axes.unicode_minus : True ## use unicode for the minus symbol ## rather than hyphen. See ## http://en.wikipedia.org/wiki/Plus_and_minus_signs#Character_codes #axes.prop_cycle : cycler('color', ['1f77b4', 'ff7f0e', '2ca02c', 'd62728', '9467bd', '8c564b', 'e377c2', '7f7f7f', 'bcbd22', '17becf']) ## color cycle for plot lines as list of string ## colorspecs: single letter, long name, or web-style hex ## Note the use of string escapes here ('1f77b4', instead of 1f77b4) ## as opposed to the rest of this file. #axes.autolimit_mode : data ## How to scale axes limits to the data. ## Use "data" to use data limits, plus some margin ## Use "round_number" move to the nearest "round" number #axes.xmargin : .05 ## x margin. Seeaxes.Axes.margins #axes.ymargin : .05 ## y margin Seeaxes.Axes.margins #polaraxes.grid : True ## display grid on polar axes #axes3d.grid : True ## display grid on 3d axes

#### DATES ## These control the default format strings used in AutoDateFormatter. ## Any valid format datetime format string can be used (see the python ##datetimefor details). For example using '%%x' will use the locale date representation ## '%%X' will use the locale time representation and '%%c' will use the full locale datetime ## representation. ## These values map to the scales: ## {'year': 365, 'month': 30, 'day': 1, 'hour': 1/24, 'minute': 1 / (24 * 60)}

#date.autoformatter.year : %Y #date.autoformatter.month : %Y-%m #date.autoformatter.day : %Y-%m-%d #date.autoformatter.hour : %m-%d %H #date.autoformatter.minute : %d %H:%M #date.autoformatter.second : %H:%M:%S #date.autoformatter.microsecond : %M:%S.%f

#### TICKS ## see http://matplotlib.org/api/axis_api.html#matplotlib.axis.Tick #xtick.top : False ## draw ticks on the top side #xtick.bottom : True ## draw ticks on the bottom side #xtick.labeltop : False ## draw label on the top #xtick.labelbottom : True ## draw label on the bottom #xtick.major.size : 3.5 ## major tick size in points #xtick.minor.size : 2 ## minor tick size in points #xtick.major.width : 0.8 ## major tick width in points #xtick.minor.width : 0.6 ## minor tick width in points #xtick.major.pad : 3.5 ## distance to major tick label in points #xtick.minor.pad : 3.4 ## distance to the minor tick label in points #xtick.color : black ## color of the tick labels #xtick.labelsize : medium ## fontsize of the tick labels #xtick.direction : out ## direction: in, out, or inout #xtick.minor.visible : False ## visibility of minor ticks on x-axis #xtick.major.top : True ## draw x axis top major ticks #xtick.major.bottom : True ## draw x axis bottom major ticks #xtick.minor.top : True ## draw x axis top minor ticks #xtick.minor.bottom : True ## draw x axis bottom minor ticks #xtick.alignment : center ## alignment of xticks

#ytick.left : True ## draw ticks on the left side #ytick.right : False ## draw ticks on the right side #ytick.labelleft : True ## draw tick labels on the left side #ytick.labelright : False ## draw tick labels on the right side #ytick.major.size : 3.5 ## major tick size in points #ytick.minor.size : 2 ## minor tick size in points #ytick.major.width : 0.8 ## major tick width in points #ytick.minor.width : 0.6 ## minor tick width in points #ytick.major.pad : 3.5 ## distance to major tick label in points #ytick.minor.pad : 3.4 ## distance to the minor tick label in points #ytick.color : black ## color of the tick labels #ytick.labelsize : medium ## fontsize of the tick labels #ytick.direction : out ## direction: in, out, or inout #ytick.minor.visible : False ## visibility of minor ticks on y-axis #ytick.major.left : True ## draw y axis left major ticks #ytick.major.right : True ## draw y axis right major ticks #ytick.minor.left : True ## draw y axis left minor ticks #ytick.minor.right : True ## draw y axis right minor ticks #ytick.alignment : center_baseline ## alignment of yticks

#### GRIDS #grid.color : b0b0b0 ## grid color #grid.linestyle : - ## solid #grid.linewidth : 0.8 ## in points #grid.alpha : 1.0 ## transparency, between 0.0 and 1.0

#### Legend #legend.loc #legend.frameon #legend.framealpha : 0.8 #legend.facecolor #legend.edgecolor #legend.fancybox ## legend #legend.shadow #legend.numpoints : 1 #legend.scatterpoints : 1 #legend.markerscale : 1.0 #legend.fontsize #legend.title_fontsize ## Dimensions #legend.borderpad #legend.labelspacing : 0.5 #legend.handlelength : 2.0 #legend.handleheight : 0.7 #legend.handletextpad : 0.8 #legend.borderaxespad : 0.5 #legend.columnspacing : 2.0 : best : True ## if True, draw the legend on a background patch ## legend patch transparency : inherit ## inherit from axes.facecolor; or color spec : 0.8 ## background patch boundary color : True ## if True, use a rounded box for the background, else a rectangle : False ## if True, give background a shadow effect ## the number of marker points in the legend line ## number of scatter points ## the relative size of legend markers vs. original : medium : None ## None sets to the same as the default axes. as fraction of fontsize: : 0.4 ## border whitespace ## the vertical space between the legend entries ## the length of the legend lines ## the height of the legend handle ## the space between the legend line and legend text ## the border between the axes and legend edge ## column separation

#### FIGURE ## See http://matplotlib.org/api/figure_api.html#matplotlib.figure.Figure #figure.titlesize : large ## size of the figure title (Figure.suptitle()) #figure.titleweight : normal ## weight of the figure title #figure.figsize : 6.4, 4.8 ## figure size in inches #figure.dpi : 100 ## figure dots per inch #figure.facecolor : white ## figure facecolor #figure.edgecolor : white ## figure edgecolor #figure.frameon : True ## enable figure frame #figure.max_open_warning : 20 ## The maximum number of figures to open through ## the pyplot interface before emitting a warning. ## If less than one this feature is disabled. ## The figure subplot parameters. All dimensions are a fraction of the #figure.subplot.left : 0.125 ## the left side of the subplots of the figure #figure.subplot.right : 0.9 ## the right side of the subplots of the figure #figure.subplot.bottom : 0.11 ## the bottom of the subplots of the figure #figure.subplot.top : 0.88 ## the top of the subplots of the figure #figure.subplot.wspace : 0.2 ## the amount of width reserved for space between subplots, ## expressed as a fraction of the average axis width #figure.subplot.hspace : 0.2 ## the amount of height reserved for space between subplots, ## expressed as a fraction of the average axis height

## Figure layout #figure.autolayout : False ## When True, automatically adjust subplot ## parameters to make the plot fit the figure ## usingtight_layout #figure.constrained_layout.use: False ## When True, automatically make plot ## elements fit on the figure. (Not compatible ## withautolayout, above). #figure.constrained_layout.h_pad : 0.04167 ## Padding around axes objects. Float representing #figure.constrained_layout.w_pad : 0.04167 ## inches. Default is 3./72. inches (3 pts) #figure.constrained_layout.hspace : 0.02 ## Space between subplot groups. Float representing #figure.constrained_layout.wspace : 0.02 ## a fraction of the subplot widths being separated.

#### IMAGES #image.aspect : equal ## equal | auto | a number #image.interpolation : nearest ## see help(imshow) for options #image.cmap : viridis ## A colormap name, gray etc... #image.lut : 256 ## the size of the colormap lookup table #image.origin : upper ## lower | upper #image.resample : True #image.composite_image : True ## When True, all the images on a set of axes are ## combined into a single composite image before ## saving a figure as a vector graphics file, ## such as a PDF.

#### CONTOUR PLOTS #contour.negative_linestyle : dashed ## string or on-off ink sequence #contour.corner_mask : True ## True | False | legacy

#### ERRORBAR PLOTS #errorbar.capsize : 0 ## length of end cap on error bars in pixels

#### HISTOGRAM PLOTS #hist.bins : 10 ## The default number of histogram bins. ## If Numpy 1.11 or later is ## installed, may also beauto

#### SCATTER PLOTS #scatter.marker : o ## The default marker type for scatter plots. #scatter.edgecolors : face ## The default edgecolors for scatter plots.

#### Agg rendering #### Warning: experimental, 2008/10/10 #agg.path.chunksize : 0 ## 0 to disable; values in the range ## 10000 to 100000 can improve speed slightly ## and prevent an Agg rendering failure ## when plotting very large data sets, ## especially if they are very gappy. ## It may cause minor artifacts, though. ## A value of 20000 is probably a good ## starting point. #### PATHS #path.simplify : True ## When True, simplify paths by removing "invisible" ## points to reduce file size and increase rendering ## speed #path.simplify_threshold : 0.111111111111 ## The threshold of similarity below which ## vertices will be removed in the ## simplification process #path.snap : True ## When True, rectilinear axis-aligned paths will be snapped to ## the nearest pixel when certain criteria are met. When False, ## paths will never be snapped. #path.sketch : None ## May be none, or a 3-tuple of the form (scale, length, ## randomness). ## *scale* is the amplitude of the wiggle ## perpendicular to the line (in pixels). *length* ## is the length of the wiggle along the line (in ## pixels). *randomness* is the factor by which ## the length is randomly scaled. #path.effects : [] ##

#### SAVING FIGURES ## the default savefig params can be different from the display params ## e.g., you may want a higher resolution, or to make the figure ## background white #savefig.dpi : figure ## figure dots per inch or 'figure' #savefig.facecolor : white ## figure facecolor when saving #savefig.edgecolor : white ## figure edgecolor when saving #savefig.format : png ## png, ps, pdf, svg #savefig.bbox : standard ## 'tight' or 'standard'. ## 'tight' is incompatible with pipe-based animation ## backends but will workd with temporary file based ones: ## e.g. setting animation.writer to ffmpeg will not work, ## use ffmpeg_file instead #savefig.pad_inches : 0.1 ## Padding to be used when bbox is set to 'tight' #savefig.jpeg_quality: 95 ## when a jpeg is saved, the default quality parameter. #savefig.directory : ~ ## default directory in savefig dialog box, ## leave empty to always use current working directory #savefig.transparent : False ## setting that controls whether figures are saved with a ## transparent background by default #savefig.orientation : portrait ## Orientation of saved figure

### tk backend params #tk.window_focus : False ## Maintain shell focus for TkAgg

### ps backend params #ps.papersize : letter ## auto, letter, legal, ledger, A0-A10, B0-B10 #ps.useafm : False ## use of afm fonts, results in small files #ps.usedistiller : False ## can be: None, ghostscript or xpdf ## Experimental: may produce smaller files. ## xpdf intended for production of publication quality files, ## but requires ghostscript, xpdf and ps2eps #ps.distiller.res : 6000 ## dpi #ps.fonttype : 3 ## Output Type 3 (Type3) or Type 42 (TrueType)

### pdf backend params #pdf.compression : 6 ## integer from 0 to 9 ## 0 disables compression (good for debugging) #pdf.fonttype : 3 ## Output Type 3 (Type3) or Type 42 (TrueType) #pdf.use14corefonts : False #pdf.inheritcolor : False

### svg backend params #svg.image_inline : True ## write raster image data directly into the svg file #svg.fonttype : path ## How to handle SVG fonts: ## none: Assume fonts are installed on the machine where the SVG will be viewed. ## path: Embed characters as paths -- supported by most SVG renderers #svg.hashsalt : None ## if not None, use this string as hash salt ## instead of uuid4 ### pgf parameter #pgf.rcfonts : True #pgf.preamble : ## see text.latex.preamble for documentation #pgf.texsystem : xelatex

### docstring params ##docstring.hardcopy = False ## set this when you want to generate hardcopy docstring

## Event keys to interact with figures/plots via keyboard. ## Customize these settings according to your needs. ## Leave the field(s) empty if you don't need a key-map. (i.e., fullscreen : '') #keymap.fullscreen : f, ctrl+f ## toggling #keymap.home : h, r, home ## home or reset mnemonic #keymap.back : left, c, backspace, MouseButton.BACK ## forward / backward keys #keymap.forward : right, v, MouseButton.FORWARD ## for quick navigation #keymap.pan : p ## pan mnemonic #keymap.zoom : o ## zoom mnemonic #keymap.save : s, ctrl+s ## saving current figure #keymap.help : f1 ## display help about active tools #keymap.quit : ctrl+w, cmd+w, q ## close the current figure #keymap.quit_all : W, cmd+W, Q ## close all figures #keymap.grid : g ## switching on/off major grids in current axes #keymap.grid_minor : G ## switching on/off minor grids in current axes #keymap.yscale : l ## toggle scaling of y-axes ('log'/'linear') #keymap.xscale : k, L ## toggle scaling of x-axes ('log'/'linear') #keymap.all_axes : a ## enable all axes #keymap.copy : ctrl+c, cmd+c ## Copy figure to clipboard

###ANIMATION settings #animation.html : none ## How to display the animation as HTML in ## the IPython notebook. 'html5' uses ## HTML5 video tag; 'jshtml' creates a ## Javascript animation #animation.writer : ffmpeg ## MovieWriter 'backend' to use #animation.codec : h264 ## Codec to use for writing movie #animation.bitrate: -1 ## Controls size/quality tradeoff for movie. ## -1 implies let utility auto-determine #animation.frame_format: png ## Controls frame format used by temp files #animation.html_args: ## Additional arguments to pass to html writer #animation.ffmpeg_path: ffmpeg ## Path to ffmpeg binary. Without full path ## $PATH is searched #animation.ffmpeg_args: ## Additional arguments to pass to ffmpeg #animation.avconv_path: avconv ## Path to avconv binary. Without full path ## $PATH is searched #animation.avconv_args: ## Additional arguments to pass to avconv #animation.convert_path: convert ## Path to ImageMagick's convert binary. ## On Windows use the full path since convert ## is also the name of a system tool. #animation.convert_args: ## Additional arguments to pass to convert #animation.embed_limit : 20.0 ## Limit, in MB, of size of base64 encoded ## animation in HTML (i.e. IPython notebook)

If you can go to the "backend" line in that file, uncomment it, and set it to Qt5Agg, that may fix the issue.

Just to make sure we talk about the same thing: I changed the following part:

##### CONFIGURATION BEGINS HERE

I saved the file, restarted the CMD, activated caiman and did again (caiman) D:\Repos>python caimanmanager.py install --inplace. Unfortunately the error remains.

Did forget to past the error message:

(caiman) D:\Repos>python caimanmanager.py install --inplace Traceback (most recent call last): File "caimanmanager.py", line 16, in from caiman.paths import caiman_datadir File "d:\repos\caiman\caiman__init__.py", line 3, in from .base.movies import movie, load, load_movie_chain File "d:\repos\caiman\caiman\base\movies.py", line 26, in import pylab as pl File "D:\Anaconda3\envs\caiman\lib\site-packages\pylab.py", line 1, in from matplotlib.pylab import * File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\pylab.py", line 235, in from matplotlib import cbook, mlab, pyplot as plt File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\pyplot.py", line 2349, in switch_backend(rcParams["backend"]) File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\pyplot.py", line 221, in switch_backend backend_mod = importlib.import_module(backend_name) File "D:\Anaconda3\envs\caiman\lib\importlib__init__.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\backends\backend_qt5agg.py", line 11, in from .backend_qt5 import ( File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\backends\backend_qt5.py", line 15, in import matplotlib.backends.qt_editor.figureoptions as figureoptions File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\backends\qt_editor\figureoptions.py", line 13, in from matplotlib.backends.qt_compat import QtGui File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\backends\qt_compat.py", line 153, in _setup() File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\backends\qt_compat.py", line 116, in _setup_pyqt4 _setup_pyqt4_internal(api=2) File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\backends\qt_compat.py", line 101, in _setup_pyqt4_internal sip.setapi(_sip_api, api) AttributeError: module 'sip' has no attribute 'setapi'

Was worth a shot. You could also try Qt5Cairo or TkCairo (although I'm not super optimistic that they'd work). Give those a go, and I'll see if I can find a system that I can get to exhibit the issue here.

At least the message is shorter than before, so it seems for me to be a step in the right direction.

After changing to Qt5Cairo:

(caiman) D:\Repos>python caimanmanager.py install --inplace Traceback (most recent call last): File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\backends\backend_cairo.py", line 14, in import cairo ModuleNotFoundError: No module named 'cairo'

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\backends\backend_cairo.py", line 20, in import cairocffi as cairo ModuleNotFoundError: No module named 'cairocffi'

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "caimanmanager.py", line 16, in from caiman.paths import caiman_datadir File "d:\repos\caiman\caiman__init__.py", line 3, in from .base.movies import movie, load, load_movie_chain File "d:\repos\caiman\caiman\base\movies.py", line 26, in import pylab as pl File "D:\Anaconda3\envs\caiman\lib\site-packages\pylab.py", line 1, in from matplotlib.pylab import * File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\pylab.py", line 235, in from matplotlib import cbook, mlab, pyplot as plt File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\pyplot.py", line 2349, in switch_backend(rcParams["backend"]) File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\pyplot.py", line 221, in switch_backend backend_mod = importlib.import_module(backend_name) File "D:\Anaconda3\envs\caiman\lib\importlib__init__.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\backends\backend_qt5cairo.py", line 3, in from .backend_cairo import cairo, FigureCanvasCairo, RendererCairo File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\backends\backend_cairo.py", line 23, in "cairo backend requires that pycairo>=1.11.0 or cairocffi" ImportError: cairo backend requires that pycairo>=1.11.0 or cairocffiis installed

With TkCairo it's the almost the same:

(caiman) D:\Repos>python caimanmanager.py install --inplace Traceback (most recent call last): File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\backends\backend_cairo.py", line 14, in import cairo ModuleNotFoundError: No module named 'cairo'

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\backends\backend_cairo.py", line 20, in import cairocffi as cairo ModuleNotFoundError: No module named 'cairocffi'

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "caimanmanager.py", line 16, in from caiman.paths import caiman_datadir File "d:\repos\caiman\caiman__init__.py", line 3, in from .base.movies import movie, load, load_movie_chain File "d:\repos\caiman\caiman\base\movies.py", line 26, in import pylab as pl File "D:\Anaconda3\envs\caiman\lib\site-packages\pylab.py", line 1, in from matplotlib.pylab import * File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\pylab.py", line 235, in from matplotlib import cbook, mlab, pyplot as plt File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\pyplot.py", line 2349, in switch_backend(rcParams["backend"]) File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\pyplot.py", line 221, in switch_backend backend_mod = importlib.import_module(backend_name) File "D:\Anaconda3\envs\caiman\lib\importlib__init__.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\backends\backend_tkcairo.py", line 6, in from .backend_cairo import cairo, FigureCanvasCairo, RendererCairo File "D:\Anaconda3\envs\caiman\lib\site-packages\matplotlib\backends\backend_cairo.py", line 23, in "cairo backend requires that pycairo>=1.11.0 or cairocffi" ImportError: cairo backend requires that pycairo>=1.11.0 or cairocffiis installed

For now let's commend the backend specifier back out. This is not a bug in our code - it appears to be upstream, but I'll still try to reproduce it locally and see if a workaround comes to mind. It may be a bit until I can get back to you.

Wouldn't it be a good idea to just delete the config file you spoke of? If it's not easy to find it, would it be easier to just un- and reinstall Anaconda?

Besides, in Europe it's already 6 pm, so I'm gone in an hour and would be back tomorrow if you don't mind.

That file is probably something that would be recreated if you delete it; as we've only changed that one value, all its values are probably defaults so I would expect that not to do anything.

Unless you've done something particularly weird, I would expect uninstalling and reinstalling anaconda to not result in anything different. If you want to give it a try it couldn't hurt.

One of the things you might try (again, after commenting out that line), is installing a newer qt.

conda install -c conda-forge qt=5.12.5

That might help.

Commented out the line as you said, startet conda install -c conda-forge qt=5.12.5 in the evening and, since it seemed to need some time, let it work overnight.

I arrived at 8 am and it's still not done:

(base) D:\Repos>conda install -c conda-forge qt=5.12.5 Collecting package metadata (current_repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. Collecting package metadata (repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. Solving environment: \ Found conflicts! Looking for incompatible packages. This can take several minutes. Press CTRL-C to abort. Examining qt: 1%|▌ | 3/371 [00:00<?, ?it/| Comparing specs that have this dependency: 0%| | 0/16 [00:00<?, ?it/- Comparing specs that have this dependency: 12%|████▉ | 2/16 [03:53<27:11, 116.57s/i| /Comparing specs that have this dependency: 19%|███████▌ | 3/16 [04:00<17:24, 80.31s/i- \Comparing specs that have this dependency: 31%|██████████▋ | 5/16 [2:18:54<5:05:35, 1666.83s/i\ /Finding shortest conflict path for qt: 3%|█▎ | 1/33 [00:42<22:52, 42.89s/i/ \Comparing specs that have this dependency: 38%|████████████▊ | 6/16 [4:07:17<6:52:09, 2472.92s/i- |Comparing specs that have this dependency: 56%|███████████████████▏ | 9/16 [4:12:48<3:16:37, 1685.40s/i| -Examining icu: 20%|███████████▋ | 75/371 [9:36:39<568:57:49, 6919.83s/i| \Comparing specs that have this dependency: 12%|████▋ | 2/17 [02:19<17:24, 69.62s/i- Comparing specs that have this dependency: 24%|████████ | 4/17 [2:47:07<9:03:08, 2506.84s/i/ /Comparing specs that have this dependency: 29%|██████████ | 5/17 [3:44:54<8:59:45, 2698.81s/i- \Finding shortest conflict path for icu[version='>=58.2,<59.0a0']: 60%|██████████▊ | 3/5 [01:49<01:10, 35.47s/it]\Finding shortest conflict path for icu: 100%|████████████████████████████████████████████| 5/5 [02:55<00:00, 37.40s/it]

It didn't make any progress in the last 2 hours. Should I cancel it?

I'd let it keep going for a bit, but there are two things that may be worth trying, moving forward.

1) Doing a conda clean --all can speed up conda operations in general, possibly including this (although it looks like it would likely fail and it's just taking forever to tell you why) 2) If you delete the conda environment, locally edit your environment.yml to add =5.12.5 to where qt is listed, and recreate it, you may have more luck.

I don't understand why your system is using qt5 with qt4 as a backend though; I've never seen that before.

I canceled the process, did conda clean --all and deleted the old caiman environment. With "environment.yml", I suppose you meant the one in the CaImAn folder (after cloning the git repo). Because other than that I cannot find one. There was only pyqtgraph in that file but no qt alone, so i added the =5.12.5 to the pyqtgraph. When trying to create the caiman environment (using conda env create -f environment.yml -n caiman) I get the following error message:

(base) D:\Repos\CaImAn>conda env create -f environment.yml -n caiman Collecting package metadata (repodata.json): done Solving environment: failed

ResolvePackageNotFound:

pyqtgraph=5.12.5

Ah, take that back off of pyqtgraph. Instead, add a new line with qt=5.12.5 and see if you can create that environment.

Didn't work without some strange warnings but ok:

(base) D:\Repos\CaImAn>conda env create -f environment.yml -n caiman Collecting package metadata (repodata.json): done Solving environment: done

Downloading and Extracting Packages opencv-4.1.2 | 11 KB | ############################################################################ | 100% blas-1.0 | 6 KB | ############################################################################ | 100% tensorflow-1.13.1 | 22 KB | ############################################################################ | 100% jupyter-1.0.0 | 4 KB | ############################################################################ | 100% msys2-conda-epoch-20 | 2 KB | ############################################################################ | 100% py-opencv-4.1.2 | 11 KB | ############################################################################ | 100% vc-14.1 | 6 KB | ############################################################################ | 100% dask-core-2.8.0 | 578 KB | ############################################################################ | 100% tifffile-0.15.1 | 183 KB | ############################################################################ | 100% matplotlib-3.1.2 | 7 KB | ############################################################################ | 100% Preparing transaction: done Verifying transaction: - SafetyError: The package for matplotlib-base located at D:\Anaconda3\pkgs\matplotlib-base-3.1.2-py37h2981e6d_1 appears to be corrupted. The path 'Lib/site-packages/matplotlib/mpl-data/matplotlibrc' has an incorrect size. reported size: 34114 bytes actual size: 34117 bytes

ClobberError: This transaction has incompatible packages due to a shared path. packages: conda-forge::tensorboard-1.13.1-py37_0, conda-forge::tensorflow-base-1.13.1-py37_7 path: 'scripts/tensorboard-script.py'

ClobberError: This transaction has incompatible packages due to a shared path. packages: conda-forge::tensorboard-1.13.1-py37_0, conda-forge::tensorflow-base-1.13.1-py37_7 path: 'scripts/tensorboard.exe'

done Executing transaction: - b'Enabling notebook extension jupyter-js-widgets/extension...\n - Validating: ok\n' done # # To activate this environment, use # # $ conda activate caiman # # To deactivate an active environment, use # # $ conda deactivate

I then did conda install -n caiman vs2017_win-64 followed by conda activate caiman.

(base) D:\Repos\CaImAn>conda activate caiman

D:\Repos\CaImAn>SET DISTUTILS_USE_SDK=1

D:\Repos\CaImAn>SET MSSdk=1

D:\Repos\CaImAn>SET "VS_VERSION=15.0"

D:\Repos\CaImAn>SET "VS_MAJOR=15"

D:\Repos\CaImAn>SET "VS_YEAR=2017"

D:\Repos\CaImAn>set "MSYS2_ARG_CONV_EXCL=/AI;/AL;/OUT;/out"

D:\Repos\CaImAn>set "MSYS2_ENV_CONV_EXCL=CL"

D:\Repos\CaImAn>set "PY_VCRUNTIME_REDIST=\bin\vcruntime140.dll"

D:\Repos\CaImAn>set "VSINSTALLDIR="

D:\Repos\CaImAn>for /F "usebackq tokens=" %i in (`vswhere.exe -nologo -products -version [15.0,16.0) -property installationPath`) do (set "VSINSTALLDIR=%i\" )

D:\Repos\CaImAn>if not exist "" (for /F "usebackq tokens=" %i in (`vswhere.exe -nologo -products -requires Microsoft.VisualStudio.Component.VC.v141.x86.x64 -property installationPath`) do (set "VSINSTALLDIR=%i\" ) )

D:\Repos\CaImAn>if not exist "" (set "VSINSTALLDIR=C:\Program Files (x86)\Microsoft Visual Studio\2017\Professional\" ) D:\Repos\CaImAn>if not exist "C:\Program Files (x86)\Microsoft Visual Studio\2017\Professional\" (set "VSINSTALLDIR=C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\" )

D:\Repos\CaImAn>if not exist "C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\" (set "VSINSTALLDIR=C:\Program Files (x86)\Microsoft Visual Studio\2017\BuildTools\" )

D:\Repos\CaImAn>if not exist "C:\Program Files (x86)\Microsoft Visual Studio\2017\BuildTools\" (set "VSINSTALLDIR=C:\Program Files (x86)\Microsoft Visual Studio\2017\Enterprise\" )

D:\Repos\CaImAn>IF NOT "" == "" ( set "INCLUDE=;" set "LIB=;" set "CMAKE_PREFIX_PATH=;" )

D:\Repos\CaImAn>call :GetWin10SdkDir

D:\Repos\CaImAn>call :GetWin10SdkDirHelper HKLM\SOFTWARE\Wow6432Node 1>nul 2>&1

D:\Repos\CaImAn>if errorlevel 1 call :GetWin10SdkDirHelper HKCU\SOFTWARE\Wow6432Node 1>nul 2>&1

D:\Repos\CaImAn>if errorlevel 1 call :GetWin10SdkDirHelper HKLM\SOFTWARE 1>nul 2>&1

D:\Repos\CaImAn>if errorlevel 1 call :GetWin10SdkDirHelper HKCU\SOFTWARE 1>nul 2>&1

D:\Repos\CaImAn>if errorlevel 1 exit /B 1

D:\Repos\CaImAn>exit /B 0

D:\Repos\CaImAn>for /F %i in ('dir /ON /B "C:\Program Files (x86)\Windows Kits\10\include"') DO (SET WindowsSDKVer=%~i )

D:\Repos\CaImAn>(SET WindowsSDKVer=10.0.10240.0 )

D:\Repos\CaImAn>(SET WindowsSDKVer=10.0.16299.0 )

D:\Repos\CaImAn>(SET WindowsSDKVer=10.0.17134.0 )

D:\Repos\CaImAn>(SET WindowsSDKVer=10.0.17763.0 )

D:\Repos\CaImAn>(SET WindowsSDKVer=10.0.18362.0 )

D:\Repos\CaImAn>if errorlevel 1 (echo "Didn't find any windows 10 SDK. I'm not sure if things will work, but let's try..." ) else (echo Windows SDK version found as: "10.0.18362.0" ) Windows SDK version found as: "10.0.18362.0"

D:\Repos\CaImAn>IF "win-64" == "win-64" ( set "target_platform=amd64" set "CMAKE_GEN=Visual Studio 15 2017 Win64" set "BITS=64" ) else ( set "target_platform=x86" set "CMAKE_GEN=Visual Studio 15 2017" set "BITS=32" )

D:\Repos\CaImAn>pushd C:\Program Files (x86)\Microsoft Visual Studio\2017\Enterprise\ The system cannot find the path specified.

D:\Repos\CaImAn>CALL "VC\Auxiliary\Build\vcvars64.bat" -vcvars_ver=14.16 10.0.18362.0 The system cannot find the path specified.

D:\Repos\CaImAn>popd

D:\Repos\CaImAn>IF "" == "" SET "CMAKE_GENERATOR=Visual Studio 15 2017 Win64"

D:\Repos\CaImAn>call :GetWin10SdkDirHelper HKLM\SOFTWARE\Wow6432Node 1>nul 2>&1

D:\Repos\CaImAn>if errorlevel 1 call :GetWin10SdkDirHelper HKCU\SOFTWARE\Wow6432Node 1>nul 2>&1

D:\Repos\CaImAn>if errorlevel 1 call :GetWin10SdkDirHelper HKLM\SOFTWARE 1>nul 2>&1

D:\Repos\CaImAn>if errorlevel 1 call :GetWin10SdkDirHelper HKCU\SOFTWARE 1>nul 2>&1

D:\Repos\CaImAn>if errorlevel 1 exit /B 1

D:\Repos\CaImAn>exit /B 0

Information for you: I'm using VS Community 2019 as well as VS Build Tools 2019, so maybe that causes a problem. Win10 SDK is definitely installed, though in Build Tools 2019. I didn't get this error before since I followed this installing routine: https://github.com/flatironinstitute/CaImAn/blob/master/docs/INSTALL-windows.md

Now I followed this one: https://caiman.readthedocs.io/en/master/Installation.html#installation-on-windows

Since they are different, which one is the newer one?

In both cases: VS Build Tools 2017 is not available for download anymore.

Older versions are available if you follow the link at the very bottom of the download page, but in general you have two options when installing Caiman on windows: 1) Install the package version 2) Install from sources, using a compiler

The former is a lot simpler and is ideal if you won't be changing how caiman works (just using it as a library).

flatironinstitute / CaImAn

Cannot install caimanmanager.py #664