Add files using upload-large-folder tool

.ipynb_checkpoints/setup-checkpoint.sh

@@ -0,0 +1,96 @@
+#!/usr/bin/env bash
+set -Eeuo pipefail
+
+trap 'echo "ERROR: setup failed at line $LINENO: $BASH_COMMAND" >&2' ERR
+
+echo "=== RunPod local-disk setup ==="
+
+DATA_ROOT="/root/data"
+MODELS_ROOT="/root/models"
+HF_CACHE="/root/hf-cache"
+HF_TMP="/root/hf-tmp"
+SEGVGGT_DIR="$MODELS_ROOT/SegVGGT"
+REQUIREMENTS="$SEGVGGT_DIR/requirements.txt"
+
+mkdir -p "$DATA_ROOT" "$MODELS_ROOT" "$HF_CACHE" "$HF_TMP"
+mkdir -p /workspace/data/spatial_codes /workspace/data/caches
+
+echo "Installing system packages..."
+apt-get update
+apt-get install -y git git-lfs ffmpeg rsync python3-pip
+
+git lfs install
+python -m pip install --upgrade pip setuptools wheel huggingface_hub
+
+if [ ! -d "$DATA_ROOT/thinking-in-space/.git" ]; then
+  echo "Cloning thinking-in-space..."
+  git clone https://github.com/vision-x-nyu/thinking-in-space.git \
+    "$DATA_ROOT/thinking-in-space"
+else
+  echo "Updating thinking-in-space..."
+  git -C "$DATA_ROOT/thinking-in-space" pull --ff-only
+
+if [ ! -d "$DATA_ROOT/VSI-Bench" ] || [ -z "$(ls -A "$DATA_ROOT/VSI-Bench" 2>/dev/null)" ]; then
+  echo "Downloading VSI-Bench..."
+  mkdir -p "$DATA_ROOT/VSI-Bench"
+  HF_HOME="$HF_CACHE" \
+  TMPDIR="$HF_TMP" \
+  HF_HUB_DISABLE_XET=1 \
+  hf download nyu-visionx/VSI-Bench \
+    --repo-type dataset \
+    --local-dir "$DATA_ROOT/VSI-Bench"
+else
+  echo "VSI-Bench already exists; skipping download."
+
+if [ ! -d "$SEGVGGT_DIR/.git" ]; then
+  echo "Cloning SegVGGT..."
+  git clone https://github.com/IDEA-Research/SegVGGT.git "$SEGVGGT_DIR"
+else
+  echo "Updating existing SegVGGT checkout..."
+  git -C "$SEGVGGT_DIR" fetch origin
+  git -C "$SEGVGGT_DIR" pull --ff-only
+
+if [ ! -f "$REQUIREMENTS" ]; then
+  exit 1
+
+echo "----- requirements.txt -----"
+cat "$REQUIREMENTS"
+echo "----------------------------"
+
+echo "Recreating isolated Python environment..."
+VENV="/workspace/.venv"
+rm -rf "$VENV"
+/usr/bin/python3 -m venv --system-site-packages "$VENV"
+"$VENV/bin/python" -m pip install --upgrade pip setuptools wheel
+echo "Installing every SegVGGT requirement..."
+"$VENV/bin/python" -m pip install --no-cache-dir --ignore-installed -r "$REQUIREMENTS"
+
+CHECKPOINT="$SEGVGGT_DIR/checkpoint/segvggt_scannet200.pt"
+
+if [ ! -f "$CHECKPOINT" ]; then
+  echo "Downloading SegVGGT ScanNet200 checkpoint..."
+  HF_HOME="$HF_CACHE" \
+  TMPDIR="$HF_TMP" \
+  HF_HUB_DISABLE_XET=1 \
+  hf download JinyuanQu/SegVGGT \
+    checkpoint/segvggt_scannet200.pt \
+    --repo-type model \
+    --local-dir "$SEGVGGT_DIR"
+else
+  echo "SegVGGT checkpoint already exists; skipping download."
+
+echo "Creating compatibility symlinks..."
+ln -sfn "$DATA_ROOT/thinking-in-space" /workspace/data/thinking-in-space
+ln -sfn "$DATA_ROOT/VSI-Bench" /workspace/data/VSI-Bench
+
+else
+
+echo
+echo "=== Setup complete ==="
+echo "thinking-in-space: $DATA_ROOT/thinking-in-space"
+echo "VSI-Bench:        $DATA_ROOT/VSI-Bench"
+echo "SegVGGT:          $SEGVGGT_DIR"
+echo "Requirements:     $REQUIREMENTS"
+echo "Checkpoint:       $CHECKPOINT"
+echo
+df -h /

.venv/bin/Activate.ps1

@@ -0,0 +1,247 @@
+<#
+.Synopsis
+Activate a Python virtual environment for the current PowerShell session.
+
+.Description
+Pushes the python executable for a virtual environment to the front of the
+$Env:PATH environment variable and sets the prompt to signify that you are
+in a Python virtual environment. Makes use of the command line switches as
+well as the `pyvenv.cfg` file values present in the virtual environment.
+
+.Parameter VenvDir
+Path to the directory that contains the virtual environment to activate. The
+default value for this is the parent of the directory that the Activate.ps1
+script is located within.
+
+.Parameter Prompt
+The prompt prefix to display when this virtual environment is activated. By
+default, this prompt is the name of the virtual environment folder (VenvDir)
+surrounded by parentheses and followed by a single space (ie. '(.venv) ').
+
+.Example
+Activate.ps1
+Activates the Python virtual environment that contains the Activate.ps1 script.
+
+.Example
+Activate.ps1 -Verbose
+Activates the Python virtual environment that contains the Activate.ps1 script,
+and shows extra information about the activation as it executes.
+
+.Example
+Activate.ps1 -VenvDir C:\Users\MyUser\Common\.venv
+Activates the Python virtual environment located in the specified location.
+
+.Example
+Activate.ps1 -Prompt "MyPython"
+Activates the Python virtual environment that contains the Activate.ps1 script,
+and prefixes the current prompt with the specified string (surrounded in
+parentheses) while the virtual environment is active.
+
+.Notes
+On Windows, it may be required to enable this Activate.ps1 script by setting the
+execution policy for the user. You can do this by issuing the following PowerShell
+command:
+
+PS C:\> Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser
+
+For more information on Execution Policies: 
+https://go.microsoft.com/fwlink/?LinkID=135170
+
+#>
+Param(
+    [Parameter(Mandatory = $false)]
+    [String]
+    $VenvDir,
+    [Parameter(Mandatory = $false)]
+    [String]
+    $Prompt
+)
+
+<# Function declarations --------------------------------------------------- #>
+
+<#
+.Synopsis
+Remove all shell session elements added by the Activate script, including the
+addition of the virtual environment's Python executable from the beginning of
+the PATH variable.
+
+.Parameter NonDestructive
+If present, do not remove this function from the global namespace for the
+session.
+
+#>
+function global:deactivate ([switch]$NonDestructive) {
+    # Revert to original values
+
+    # The prior prompt:
+    if (Test-Path -Path Function:_OLD_VIRTUAL_PROMPT) {
+        Copy-Item -Path Function:_OLD_VIRTUAL_PROMPT -Destination Function:prompt
+        Remove-Item -Path Function:_OLD_VIRTUAL_PROMPT
+    }
+
+    # The prior PYTHONHOME:
+    if (Test-Path -Path Env:_OLD_VIRTUAL_PYTHONHOME) {
+        Copy-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME -Destination Env:PYTHONHOME
+        Remove-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME
+    }
+
+    # The prior PATH:
+    if (Test-Path -Path Env:_OLD_VIRTUAL_PATH) {
+        Copy-Item -Path Env:_OLD_VIRTUAL_PATH -Destination Env:PATH
+        Remove-Item -Path Env:_OLD_VIRTUAL_PATH
+    }
+
+    # Just remove the VIRTUAL_ENV altogether:
+    if (Test-Path -Path Env:VIRTUAL_ENV) {
+        Remove-Item -Path env:VIRTUAL_ENV
+    }
+
+    # Just remove VIRTUAL_ENV_PROMPT altogether.
+    if (Test-Path -Path Env:VIRTUAL_ENV_PROMPT) {
+        Remove-Item -Path env:VIRTUAL_ENV_PROMPT
+    }
+
+    # Just remove the _PYTHON_VENV_PROMPT_PREFIX altogether:
+    if (Get-Variable -Name "_PYTHON_VENV_PROMPT_PREFIX" -ErrorAction SilentlyContinue) {
+        Remove-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Scope Global -Force
+    }
+
+    # Leave deactivate function in the global namespace if requested:
+    if (-not $NonDestructive) {
+        Remove-Item -Path function:deactivate
+    }
+}
+
+<#
+.Description
+Get-PyVenvConfig parses the values from the pyvenv.cfg file located in the
+given folder, and returns them in a map.
+
+For each line in the pyvenv.cfg file, if that line can be parsed into exactly
+two strings separated by `=` (with any amount of whitespace surrounding the =)
+then it is considered a `key = value` line. The left hand string is the key,
+the right hand is the value.
+
+If the value starts with a `'` or a `"` then the first and last character is
+stripped from the value before being captured.
+
+.Parameter ConfigDir
+Path to the directory that contains the `pyvenv.cfg` file.
+#>
+function Get-PyVenvConfig(
+    [String]
+    $ConfigDir
+) {
+    Write-Verbose "Given ConfigDir=$ConfigDir, obtain values in pyvenv.cfg"
+
+    # Ensure the file exists, and issue a warning if it doesn't (but still allow the function to continue).
+    $pyvenvConfigPath = Join-Path -Resolve -Path $ConfigDir -ChildPath 'pyvenv.cfg' -ErrorAction Continue
+
+    # An empty map will be returned if no config file is found.
+    $pyvenvConfig = @{ }
+
+    if ($pyvenvConfigPath) {
+
+        Write-Verbose "File exists, parse `key = value` lines"
+        $pyvenvConfigContent = Get-Content -Path $pyvenvConfigPath
+
+        $pyvenvConfigContent | ForEach-Object {
+            $keyval = $PSItem -split "\s*=\s*", 2
+            if ($keyval[0] -and $keyval[1]) {
+                $val = $keyval[1]
+
+                # Remove extraneous quotations around a string value.
+                if ("'""".Contains($val.Substring(0, 1))) {
+                    $val = $val.Substring(1, $val.Length - 2)
+                }
+
+                $pyvenvConfig[$keyval[0]] = $val
+                Write-Verbose "Adding Key: '$($keyval[0])'='$val'"
+            }
+        }
+    }
+    return $pyvenvConfig
+}
+
+
+<# Begin Activate script --------------------------------------------------- #>
+
+# Determine the containing directory of this script
+$VenvExecPath = Split-Path -Parent $MyInvocation.MyCommand.Definition
+$VenvExecDir = Get-Item -Path $VenvExecPath
+
+Write-Verbose "Activation script is located in path: '$VenvExecPath'"
+Write-Verbose "VenvExecDir Fullname: '$($VenvExecDir.FullName)"
+Write-Verbose "VenvExecDir Name: '$($VenvExecDir.Name)"
+
+# Set values required in priority: CmdLine, ConfigFile, Default
+# First, get the location of the virtual environment, it might not be
+# VenvExecDir if specified on the command line.
+if ($VenvDir) {
+    Write-Verbose "VenvDir given as parameter, using '$VenvDir' to determine values"
+}
+else {
+    Write-Verbose "VenvDir not given as a parameter, using parent directory name as VenvDir."
+    $VenvDir = $VenvExecDir.Parent.FullName.TrimEnd("\\/")
+    Write-Verbose "VenvDir=$VenvDir"
+}
+
+# Next, read the `pyvenv.cfg` file to determine any required value such
+# as `prompt`.
+$pyvenvCfg = Get-PyVenvConfig -ConfigDir $VenvDir
+
+# Next, set the prompt from the command line, or the config file, or
+# just use the name of the virtual environment folder.
+if ($Prompt) {
+    Write-Verbose "Prompt specified as argument, using '$Prompt'"
+}
+else {
+    Write-Verbose "Prompt not specified as argument to script, checking pyvenv.cfg value"
+    if ($pyvenvCfg -and $pyvenvCfg['prompt']) {
+        Write-Verbose "  Setting based on value in pyvenv.cfg='$($pyvenvCfg['prompt'])'"
+        $Prompt = $pyvenvCfg['prompt'];
+    }
+    else {
+        Write-Verbose "  Setting prompt based on parent's directory's name. (Is the directory name passed to venv module when creating the virtual environment)"
+        Write-Verbose "  Got leaf-name of $VenvDir='$(Split-Path -Path $venvDir -Leaf)'"
+        $Prompt = Split-Path -Path $venvDir -Leaf
+    }
+}
+
+Write-Verbose "Prompt = '$Prompt'"
+Write-Verbose "VenvDir='$VenvDir'"
+
+# Deactivate any currently active virtual environment, but leave the
+# deactivate function in place.
+deactivate -nondestructive
+
+# Now set the environment variable VIRTUAL_ENV, used by many tools to determine
+# that there is an activated venv.
+$env:VIRTUAL_ENV = $VenvDir
+
+if (-not $Env:VIRTUAL_ENV_DISABLE_PROMPT) {
+
+    Write-Verbose "Setting prompt to '$Prompt'"
+
+    # Set the prompt to include the env name
+    # Make sure _OLD_VIRTUAL_PROMPT is global
+    function global:_OLD_VIRTUAL_PROMPT { "" }
+    Copy-Item -Path function:prompt -Destination function:_OLD_VIRTUAL_PROMPT
+    New-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Description "Python virtual environment prompt prefix" -Scope Global -Option ReadOnly -Visibility Public -Value $Prompt
+
+    function global:prompt {
+        Write-Host -NoNewline -ForegroundColor Green "($_PYTHON_VENV_PROMPT_PREFIX) "
+        _OLD_VIRTUAL_PROMPT
+    }
+    $env:VIRTUAL_ENV_PROMPT = $Prompt
+}
+
+# Clear PYTHONHOME
+if (Test-Path -Path Env:PYTHONHOME) {
+    Copy-Item -Path Env:PYTHONHOME -Destination Env:_OLD_VIRTUAL_PYTHONHOME
+    Remove-Item -Path Env:PYTHONHOME
+}
+
+# Add the venv to the PATH
+Copy-Item -Path Env:PATH -Destination Env:_OLD_VIRTUAL_PATH
+$Env:PATH = "$VenvExecDir$([System.IO.Path]::PathSeparator)$Env:PATH"

.venv/bin/activate

@@ -0,0 +1,63 @@
+# This file must be used with "source bin/activate" *from bash*
+# you cannot run it directly
+
+deactivate () {
+    # reset old environment variables
+    if [ -n "${_OLD_VIRTUAL_PATH:-}" ] ; then
+        PATH="${_OLD_VIRTUAL_PATH:-}"
+        export PATH
+        unset _OLD_VIRTUAL_PATH
+    fi
+    if [ -n "${_OLD_VIRTUAL_PYTHONHOME:-}" ] ; then
+        PYTHONHOME="${_OLD_VIRTUAL_PYTHONHOME:-}"
+        export PYTHONHOME
+        unset _OLD_VIRTUAL_PYTHONHOME
+    fi
+
+    # Call hash to forget past commands. Without forgetting
+    # past commands the $PATH changes we made may not be respected
+    hash -r 2> /dev/null
+
+    if [ -n "${_OLD_VIRTUAL_PS1:-}" ] ; then
+        PS1="${_OLD_VIRTUAL_PS1:-}"
+        export PS1
+        unset _OLD_VIRTUAL_PS1
+    fi
+
+    unset VIRTUAL_ENV
+    unset VIRTUAL_ENV_PROMPT
+    if [ ! "${1:-}" = "nondestructive" ] ; then
+    # Self destruct!
+        unset -f deactivate
+    fi
+}
+
+# unset irrelevant variables
+deactivate nondestructive
+
+VIRTUAL_ENV="/workspace/.venv"
+export VIRTUAL_ENV
+
+_OLD_VIRTUAL_PATH="$PATH"
+PATH="$VIRTUAL_ENV/bin:$PATH"
+export PATH
+
+# unset PYTHONHOME if set
+# this will fail if PYTHONHOME is set to the empty string (which is bad anyway)
+# could use `if (set -u; : $PYTHONHOME) ;` in bash
+if [ -n "${PYTHONHOME:-}" ] ; then
+    _OLD_VIRTUAL_PYTHONHOME="${PYTHONHOME:-}"
+    unset PYTHONHOME
+fi
+
+if [ -z "${VIRTUAL_ENV_DISABLE_PROMPT:-}" ] ; then
+    _OLD_VIRTUAL_PS1="${PS1:-}"
+    PS1="(.venv) ${PS1:-}"
+    export PS1
+    VIRTUAL_ENV_PROMPT="(.venv) "
+    export VIRTUAL_ENV_PROMPT
+fi
+
+# Call hash to forget past commands. Without forgetting
+# past commands the $PATH changes we made may not be respected
+hash -r 2> /dev/null

.venv/bin/activate.csh

@@ -0,0 +1,26 @@
+# This file must be used with "source bin/activate.csh" *from csh*.
+# You cannot run it directly.
+# Created by Davide Di Blasi <davidedb@gmail.com>.
+# Ported to Python 3.3 venv by Andrew Svetlov <andrew.svetlov@gmail.com>
+
+alias deactivate 'test $?_OLD_VIRTUAL_PATH != 0 && setenv PATH "$_OLD_VIRTUAL_PATH" && unset _OLD_VIRTUAL_PATH; rehash; test $?_OLD_VIRTUAL_PROMPT != 0 && set prompt="$_OLD_VIRTUAL_PROMPT" && unset _OLD_VIRTUAL_PROMPT; unsetenv VIRTUAL_ENV; unsetenv VIRTUAL_ENV_PROMPT; test "\!:*" != "nondestructive" && unalias deactivate'
+
+# Unset irrelevant variables.
+deactivate nondestructive
+
+setenv VIRTUAL_ENV "/workspace/.venv"
+
+set _OLD_VIRTUAL_PATH="$PATH"
+setenv PATH "$VIRTUAL_ENV/bin:$PATH"
+
+
+set _OLD_VIRTUAL_PROMPT="$prompt"
+
+if (! "$?VIRTUAL_ENV_DISABLE_PROMPT") then
+    set prompt = "(.venv) $prompt"
+    setenv VIRTUAL_ENV_PROMPT "(.venv) "
+endif
+
+alias pydoc python -m pydoc
+
+rehash

.venv/bin/activate.fish

@@ -0,0 +1,69 @@
+# This file must be used with "source <venv>/bin/activate.fish" *from fish*
+# (https://fishshell.com/); you cannot run it directly.
+
+function deactivate  -d "Exit virtual environment and return to normal shell environment"
+    # reset old environment variables
+    if test -n "$_OLD_VIRTUAL_PATH"
+        set -gx PATH $_OLD_VIRTUAL_PATH
+        set -e _OLD_VIRTUAL_PATH
+    end
+    if test -n "$_OLD_VIRTUAL_PYTHONHOME"
+        set -gx PYTHONHOME $_OLD_VIRTUAL_PYTHONHOME
+        set -e _OLD_VIRTUAL_PYTHONHOME
+    end
+
+    if test -n "$_OLD_FISH_PROMPT_OVERRIDE"
+        set -e _OLD_FISH_PROMPT_OVERRIDE
+        # prevents error when using nested fish instances (Issue #93858)
+        if functions -q _old_fish_prompt
+            functions -e fish_prompt
+            functions -c _old_fish_prompt fish_prompt
+            functions -e _old_fish_prompt
+        end
+    end
+
+    set -e VIRTUAL_ENV
+    set -e VIRTUAL_ENV_PROMPT
+    if test "$argv[1]" != "nondestructive"
+        # Self-destruct!
+        functions -e deactivate
+    end
+end
+
+# Unset irrelevant variables.
+deactivate nondestructive
+
+set -gx VIRTUAL_ENV "/workspace/.venv"
+
+set -gx _OLD_VIRTUAL_PATH $PATH
+set -gx PATH "$VIRTUAL_ENV/bin" $PATH
+
+# Unset PYTHONHOME if set.
+if set -q PYTHONHOME
+    set -gx _OLD_VIRTUAL_PYTHONHOME $PYTHONHOME
+    set -e PYTHONHOME
+end
+
+if test -z "$VIRTUAL_ENV_DISABLE_PROMPT"
+    # fish uses a function instead of an env var to generate the prompt.
+
+    # Save the current fish_prompt function as the function _old_fish_prompt.
+    functions -c fish_prompt _old_fish_prompt
+
+    # With the original prompt function renamed, we can override with our own.
+    function fish_prompt
+        # Save the return status of the last command.
+        set -l old_status $status
+
+        # Output the venv prompt; color taken from the blue of the Python logo.
+        printf "%s%s%s" (set_color 4B8BBE) "(.venv) " (set_color normal)
+
+        # Restore the return status of the previous command.
+        echo "exit $old_status" | .
+        # Output the original/"old" prompt.
+        _old_fish_prompt
+    end
+
+    set -gx _OLD_FISH_PROMPT_OVERRIDE "$VIRTUAL_ENV"
+    set -gx VIRTUAL_ENV_PROMPT "(.venv) "
+end

.venv/bin/pip

@@ -0,0 +1,8 @@
+#!/workspace/.venv/bin/python
+# -*- coding: utf-8 -*-
+import re
+import sys
+from pip._internal.cli.main import main
+if __name__ == '__main__':
+    sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
+    sys.exit(main())

.venv/bin/pip3

@@ -0,0 +1,8 @@
+#!/workspace/.venv/bin/python
+# -*- coding: utf-8 -*-
+import re
+import sys
+from pip._internal.cli.main import main
+if __name__ == '__main__':
+    sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
+    sys.exit(main())

.venv/bin/pip3.11

@@ -0,0 +1,8 @@
+#!/workspace/.venv/bin/python
+# -*- coding: utf-8 -*-
+import re
+import sys
+from pip._internal.cli.main import main
+if __name__ == '__main__':
+    sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
+    sys.exit(main())

.venv/bin/pygmentize

@@ -0,0 +1,6 @@
+#!/workspace/.venv/bin/python
+import sys
+from pygments.cmdline import main
+if __name__ == '__main__':
+    sys.argv[0] = sys.argv[0].removesuffix('.exe')
+    sys.exit(main())

.venv/bin/pygrun

@@ -0,0 +1,164 @@
+#!/workspace/.venv/bin/python
+__author__ = 'jszheng'
+import optparse
+import sys
+import os
+import importlib
+from antlr4 import *
+
+
+# this is a python version of TestRig
+def beautify_lisp_string(in_string):
+    indent_size = 3
+    add_indent = ' '*indent_size
+    out_string = in_string[0]  # no indent for 1st (
+    indent = ''
+    for i in range(1, len(in_string)):
+        if in_string[i] == '(' and in_string[i+1] != ' ':
+            indent += add_indent
+            out_string += "\n" + indent + '('
+        elif in_string[i] == ')':
+            out_string += ')'
+            if len(indent) > 0:
+                indent = indent.replace(add_indent, '', 1)
+        else:
+            out_string += in_string[i]
+    return out_string
+
+
+if __name__ == '__main__':
+
+    #############################################################
+    # parse options
+    # not support -gui -encoding -ps
+    #############################################################
+    usage = "Usage: %prog [options] Grammar_Name Start_Rule"
+    parser = optparse.OptionParser(usage=usage)
+    # parser.add_option('-t', '--tree',
+    #                   dest="out_file",
+    #                   default="default.out",
+    #                   help='set output file name',
+    #                   )
+    parser.add_option('-t', '--tree',
+                      default=False,
+                      action='store_true',
+                      help='Print AST tree'
+                      )
+    parser.add_option('-k', '--tokens',
+                      dest="token",
+                      default=False,
+                      action='store_true',
+                      help='Show Tokens'
+                      )
+    parser.add_option('-s', '--sll',
+                      dest="sll",
+                      default=False,
+                      action='store_true',
+                      help='Show SLL'
+                      )
+    parser.add_option('-d', '--diagnostics',
+                      dest="diagnostics",
+                      default=False,
+                      action='store_true',
+                      help='Enable diagnostics error listener'
+                      )
+    parser.add_option('-a', '--trace',
+                      dest="trace",
+                      default=False,
+                      action='store_true',
+                      help='Enable Trace'
+                      )
+
+    options, remainder = parser.parse_args()
+    if len(remainder) < 2:
+        print('ERROR: You have to provide at least 2 arguments!')
+        parser.print_help()
+        exit(1)
+    else:
+        grammar = remainder.pop(0)
+        start_rule = remainder.pop(0)
+        file_list = remainder
+
+    #############################################################
+    # check and load antlr generated files
+    #############################################################
+    # dynamic load the module and class
+    lexerName = grammar + 'Lexer'
+    parserName = grammar + 'Parser'
+    # check if the generate file exist
+    lexer_file = lexerName + '.py'
+    parser_file = parserName + '.py'
+    if not os.path.exists(lexer_file):
+        print("[ERROR] Can't find lexer file {}!".format(lexer_file))
+        print(os.path.realpath('.'))
+        exit(1)
+    if not os.path.exists(parser_file):
+        print("[ERROR] Can't find parser file {}!".format(lexer_file))
+        print(os.path.realpath('.'))
+        exit(1)
+
+    # current directory is where the generated file loaded
+    # the script might be in different place.
+    sys.path.append('.')
+    # print(sys.path)
+
+    # print("Load Lexer {}".format(lexerName))
+    module_lexer = __import__(lexerName, globals(), locals(), lexerName)
+    class_lexer = getattr(module_lexer, lexerName)
+    # print(class_lexer)
+
+    # print("Load Parser {}".format(parserName))
+    module_parser = __import__(parserName, globals(), locals(), parserName)
+    class_parser = getattr(module_parser, parserName)
+    # print(class_parser)
+
+    #############################################################
+    # main process steps.
+    #############################################################
+    def process(input_stream, class_lexer, class_parser):
+        lexer = class_lexer(input_stream)
+        token_stream = CommonTokenStream(lexer)
+        token_stream.fill()
+        if options.token:  # need to show token
+            for tok in token_stream.tokens:
+                print(tok)
+        if start_rule == 'tokens':
+            return
+
+        parser = class_parser(token_stream)
+
+        if options.diagnostics:
+            parser.addErrorListener(DiagnosticErrorListener())
+            parser._interp.predictionMode = PredictionMode.LL_EXACT_AMBIG_DETECTION
+        if options.tree:
+            parser.buildParseTrees = True
+        if options.sll:
+            parser._interp.predictionMode = PredictionMode.SLL
+        #parser.setTokenStream(token_stream)
+        parser.setTrace(options.trace)
+        if hasattr(parser, start_rule):
+            func_start_rule = getattr(parser, start_rule)
+            parser_ret = func_start_rule()
+            if options.tree:
+                lisp_tree_str = parser_ret.toStringTree(recog=parser)
+                print(beautify_lisp_string(lisp_tree_str))
+        else:
+            print("[ERROR] Can't find start rule '{}' in parser '{}'".format(start_rule, parserName))
+
+    #############################################################
+    # use stdin if not provide file as input stream
+    #############################################################
+    if len(file_list) == 0:
+        input_stream = InputStream(sys.stdin.read())
+        process(input_stream, class_lexer, class_parser)
+        exit(0)
+
+    #############################################################
+    # iterate all input file
+    #############################################################
+    for file_name in file_list:
+        if os.path.exists(file_name) and os.path.isfile(file_name):
+            input_stream = FileStream(file_name)
+            process(input_stream, class_lexer, class_parser)
+        else:
+            print("[ERROR] file {} not exist".format(os.path.normpath(file_name)))

.venv/bin/tabulate

@@ -0,0 +1,6 @@
+#!/workspace/.venv/bin/python
+import sys
+from tabulate import _main
+if __name__ == '__main__':
+    sys.argv[0] = sys.argv[0].removesuffix('.exe')
+    sys.exit(_main())

.venv/bin/tqdm

@@ -0,0 +1,6 @@
+#!/workspace/.venv/bin/python
+import sys
+from tqdm.cli import main
+if __name__ == '__main__':
+    sys.argv[0] = sys.argv[0].removesuffix('.exe')
+    sys.exit(main())

.venv/etc/jupyter/nbconfig/notebook.d/widgetsnbextension.json

@@ -0,0 +1,5 @@
+{
+  "load_extensions": {
+    "jupyter-js-widgets/extension": true
+  }
+}

.venv/lib/python3.11/site-packages/numpy-1.26.1.dist-info/LICENSE.txt

@@ -0,0 +1,973 @@
+Copyright (c) 2005-2023, NumPy Developers.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+       notice, this list of conditions and the following disclaimer.
+
+    * Redistributions in binary form must reproduce the above
+       copyright notice, this list of conditions and the following
+       disclaimer in the documentation and/or other materials provided
+       with the distribution.
+
+    * Neither the name of the NumPy Developers nor the names of any
+       contributors may be used to endorse or promote products derived
+       from this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+The NumPy repository and source distributions bundle several libraries that are
+compatibly licensed.  We list these here.
+
+Name: lapack-lite
+Files: numpy/linalg/lapack_lite/*
+License: BSD-3-Clause
+  For details, see numpy/linalg/lapack_lite/LICENSE.txt
+
+Name: tempita
+Files: tools/npy_tempita/*
+License: MIT
+  For details, see tools/npy_tempita/license.txt
+
+Name: dragon4
+Files: numpy/core/src/multiarray/dragon4.c
+License: MIT
+  For license text, see numpy/core/src/multiarray/dragon4.c
+
+Name: libdivide
+Files: numpy/core/include/numpy/libdivide/*
+License: Zlib
+  For license text, see numpy/core/include/numpy/libdivide/LICENSE.txt
+
+
+Note that the following files are vendored in the repository and sdist but not
+installed in built numpy packages:
+
+Name: Meson
+Files: vendored-meson/meson/*
+License: Apache 2.0
+  For license text, see vendored-meson/meson/COPYING
+
+Name: meson-python
+Files: vendored-meson/meson-python/*
+License: MIT
+  For license text, see vendored-meson/meson-python/LICENSE
+
+Name: spin
+Files: .spin/cmds.py
+License: BSD-3
+  For license text, see .spin/LICENSE
+
+----
+
+This binary distribution of NumPy also bundles the following software:
+
+
+Name: OpenBLAS
+Files: numpy.libs/libopenblas*.so
+Description: bundled as a dynamically linked library
+Availability: https://github.com/OpenMathLib/OpenBLAS/
+License: BSD-3-Clause-Attribution
+  Copyright (c) 2011-2014, The OpenBLAS Project
+  All rights reserved.
+
+  Redistribution and use in source and binary forms, with or without
+  modification, are permitted provided that the following conditions are
+  met:
+
+     1. Redistributions of source code must retain the above copyright
+        notice, this list of conditions and the following disclaimer.
+
+     2. Redistributions in binary form must reproduce the above copyright
+        notice, this list of conditions and the following disclaimer in
+        the documentation and/or other materials provided with the
+        distribution.
+     3. Neither the name of the OpenBLAS project nor the names of
+        its contributors may be used to endorse or promote products
+        derived from this software without specific prior written
+        permission.
+
+  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+  AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+  IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+  ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
+  LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+  DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+  SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+  CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+  OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE
+  USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+Name: LAPACK
+Files: numpy.libs/libopenblas*.so
+Description: bundled in OpenBLAS
+Availability: https://github.com/OpenMathLib/OpenBLAS/
+License: BSD-3-Clause-Attribution
+  Copyright (c) 1992-2013 The University of Tennessee and The University
+                          of Tennessee Research Foundation.  All rights
+                          reserved.
+  Copyright (c) 2000-2013 The University of California Berkeley. All
+                          rights reserved.
+  Copyright (c) 2006-2013 The University of Colorado Denver.  All rights
+                          reserved.
+
+  $COPYRIGHT$
+
+  Additional copyrights may follow
+
+  $HEADER$
+
+  Redistribution and use in source and binary forms, with or without
+  modification, are permitted provided that the following conditions are
+  met:
+
+  - Redistributions of source code must retain the above copyright
+    notice, this list of conditions and the following disclaimer.
+
+  - Redistributions in binary form must reproduce the above copyright
+    notice, this list of conditions and the following disclaimer listed
+    in this license in the documentation and/or other materials
+    provided with the distribution.
+
+  - Neither the name of the copyright holders nor the names of its
+    contributors may be used to endorse or promote products derived from
+    this software without specific prior written permission.
+
+  The copyright holders provide no reassurances that the source code
+  provided does not infringe any patent, copyright, or any other
+  intellectual property rights of third parties.  The copyright holders
+  disclaim any liability to any recipient for claims brought against
+  recipient by any third party for infringement of that parties
+  intellectual property rights.
+
+  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+  "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+  LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+  A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+  OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+  SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+  LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+  DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+  THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+  (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+  OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+Name: GCC runtime library
+Files: numpy.libs/libgfortran*.so
+Description: dynamically linked to files compiled with gcc
+Availability: https://gcc.gnu.org/git/?p=gcc.git;a=tree;f=libgfortran
+License: GPL-3.0-with-GCC-exception
+  Copyright (C) 2002-2017 Free Software Foundation, Inc.
+
+  Libgfortran is free software; you can redistribute it and/or modify
+  it under the terms of the GNU General Public License as published by
+  the Free Software Foundation; either version 3, or (at your option)
+  any later version.
+
+  Libgfortran is distributed in the hope that it will be useful,
+  but WITHOUT ANY WARRANTY; without even the implied warranty of
+  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+  GNU General Public License for more details.
+
+  Under Section 7 of GPL version 3, you are granted additional
+  permissions described in the GCC Runtime Library Exception, version
+  3.1, as published by the Free Software Foundation.
+
+  You should have received a copy of the GNU General Public License and
+  a copy of the GCC Runtime Library Exception along with this program;
+  see the files COPYING3 and COPYING.RUNTIME respectively.  If not, see
+  <http://www.gnu.org/licenses/>.
+
+----
+
+Full text of license texts referred to above follows (that they are
+listed below does not necessarily imply the conditions apply to the
+present binary release):
+
+----
+
+GCC RUNTIME LIBRARY EXCEPTION
+
+Version 3.1, 31 March 2009
+
+Copyright (C) 2009 Free Software Foundation, Inc. <http://fsf.org/>
+
+Everyone is permitted to copy and distribute verbatim copies of this
+license document, but changing it is not allowed.
+
+This GCC Runtime Library Exception ("Exception") is an additional
+permission under section 7 of the GNU General Public License, version
+3 ("GPLv3"). It applies to a given file (the "Runtime Library") that
+bears a notice placed by the copyright holder of the file stating that
+the file is governed by GPLv3 along with this Exception.
+
+When you use GCC to compile a program, GCC may combine portions of
+certain GCC header files and runtime libraries with the compiled
+program. The purpose of this Exception is to allow compilation of
+non-GPL (including proprietary) programs to use, in this way, the
+header files and runtime libraries covered by this Exception.
+
+0. Definitions.
+
+A file is an "Independent Module" if it either requires the Runtime
+Library for execution after a Compilation Process, or makes use of an
+interface provided by the Runtime Library, but is not otherwise based
+on the Runtime Library.
+
+"GCC" means a version of the GNU Compiler Collection, with or without
+modifications, governed by version 3 (or a specified later version) of
+the GNU General Public License (GPL) with the option of using any
+subsequent versions published by the FSF.
+
+"GPL-compatible Software" is software whose conditions of propagation,
+modification and use would permit combination with GCC in accord with
+the license of GCC.
+
+"Target Code" refers to output from any compiler for a real or virtual
+target processor architecture, in executable form or suitable for
+input to an assembler, loader, linker and/or execution
+phase. Notwithstanding that, Target Code does not include data in any
+format that is used as a compiler intermediate representation, or used
+for producing a compiler intermediate representation.
+
+The "Compilation Process" transforms code entirely represented in
+non-intermediate languages designed for human-written code, and/or in
+Java Virtual Machine byte code, into Target Code. Thus, for example,
+use of source code generators and preprocessors need not be considered
+part of the Compilation Process, since the Compilation Process can be
+understood as starting with the output of the generators or
+preprocessors.
+
+A Compilation Process is "Eligible" if it is done using GCC, alone or
+with other GPL-compatible software, or if it is done without using any
+work based on GCC. For example, using non-GPL-compatible Software to
+optimize any GCC intermediate representations would not qualify as an
+Eligible Compilation Process.
+
+1. Grant of Additional Permission.
+
+You have permission to propagate a work of Target Code formed by
+combining the Runtime Library with Independent Modules, even if such
+propagation would otherwise violate the terms of GPLv3, provided that
+all Target Code was generated by Eligible Compilation Processes. You
+may then convey such a combination under terms of your choice,
+consistent with the licensing of the Independent Modules.
+
+2. No Weakening of GCC Copyleft.
+
+The availability of this Exception does not imply any general
+presumption that third-party software is unaffected by the copyleft
+requirements of the license of GCC.
+
+----
+
+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
+  The GNU General Public License is a free, copyleft license for
+software and other kinds of works.
+
+  The licenses for most software and other practical works are designed
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.venv/lib/python3.11/site-packages/numpy-1.26.1.dist-info/METADATA

@@ -0,0 +1,1094 @@
+Metadata-Version: 2.1
+Name: numpy
+Version: 1.26.1
+Summary: Fundamental package for array computing in Python
+Home-page: https://numpy.org
+Author: Travis E. Oliphant et al.
+Maintainer-Email: NumPy Developers <numpy-discussion@python.org>
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+        Files: numpy/linalg/lapack_lite/*
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+        Files: tools/npy_tempita/*
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+          For license text, see vendored-meson/meson/COPYING
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+          For license text, see .spin/LICENSE
+        
+        ----
+        
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+          the Free Software Foundation; either version 3, or (at your option)
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+        
+          Libgfortran is distributed in the hope that it will be useful,
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+        
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+        
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+        
+        ----
+        
+        Full text of license texts referred to above follows (that they are
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+        GCC RUNTIME LIBRARY EXCEPTION
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+NumPy is the fundamental package for scientific computing with Python.
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+
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+
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+
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+
+Code of Conduct
+----------------------
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+NumPy is a community-driven open source project developed by a diverse group of
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+Call for Contributions
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+and how to successfully get involved.

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.venv/lib/python3.11/site-packages/numpy-1.26.1.dist-info/WHEEL

@@ -0,0 +1,6 @@
+Wheel-Version: 1.0
+Generator: meson
+Root-Is-Purelib: false
+Tag: cp311-cp311-manylinux_2_17_x86_64
+Tag: cp311-cp311-manylinux2014_x86_64
+

.venv/lib/python3.11/site-packages/numpy-1.26.1.dist-info/entry_points.txt

@@ -0,0 +1,9 @@
+[array_api]
+numpy = numpy.array_api
+
+[pyinstaller40]
+hook-dirs = numpy:_pyinstaller_hooks_dir
+
+[console_scripts]
+f2py = numpy.f2py.f2py2e:main
+

.venv/lib/python3.11/site-packages/numpy/__config__.py

@@ -0,0 +1,156 @@
+# This file is generated by numpy's build process
+# It contains system_info results at the time of building this package.
+from enum import Enum
+from numpy.core._multiarray_umath import (
+    __cpu_features__,
+    __cpu_baseline__,
+    __cpu_dispatch__,
+)
+
+__all__ = ["show"]
+_built_with_meson = True
+
+
+class DisplayModes(Enum):
+    stdout = "stdout"
+    dicts = "dicts"
+
+
+def _cleanup(d):
+    """
+    Removes empty values in a `dict` recursively
+    This ensures we remove values that Meson could not provide to CONFIG
+    """
+    if isinstance(d, dict):
+        return {k: _cleanup(v) for k, v in d.items() if v and _cleanup(v)}
+    else:
+        return d
+
+
+CONFIG = _cleanup(
+    {
+        "Compilers": {
+            "c": {
+                "name": "gcc",
+                "linker": "ld.bfd",
+                "version": "10.2.1",
+                "commands": "cc",
+            },
+            "cython": {
+                "name": "cython",
+                "linker": "cython",
+                "version": "3.0.3",
+                "commands": "cython",
+            },
+            "c++": {
+                "name": "gcc",
+                "linker": "ld.bfd",
+                "version": "10.2.1",
+                "commands": "c++",
+            },
+        },
+        "Machine Information": {
+            "host": {
+                "cpu": "x86_64",
+                "family": "x86_64",
+                "endian": "little",
+                "system": "linux",
+            },
+            "build": {
+                "cpu": "x86_64",
+                "family": "x86_64",
+                "endian": "little",
+                "system": "linux",
+            },
+            "cross-compiled": bool("False".lower().replace("false", "")),
+        },
+        "Build Dependencies": {
+            "blas": {
+                "name": "openblas64",
+                "found": bool("True".lower().replace("false", "")),
+                "version": "0.3.23.dev",
+                "detection method": "pkgconfig",
+                "include directory": r"/usr/local/include",
+                "lib directory": r"/usr/local/lib",
+                "openblas configuration": "USE_64BITINT=1 DYNAMIC_ARCH=1 DYNAMIC_OLDER= NO_CBLAS= NO_LAPACK= NO_LAPACKE= NO_AFFINITY=1 USE_OPENMP= HASWELL MAX_THREADS=2",
+                "pc file directory": r"/usr/local/lib/pkgconfig",
+            },
+            "lapack": {
+                "name": "dep140250237405136",
+                "found": bool("True".lower().replace("false", "")),
+                "version": "1.26.1",
+                "detection method": "internal",
+                "include directory": r"unknown",
+                "lib directory": r"unknown",
+                "openblas configuration": "unknown",
+                "pc file directory": r"unknown",
+            },
+        },
+        "Python Information": {
+            "path": r"/opt/python/cp311-cp311/bin/python",
+            "version": "3.11",
+        },
+        "SIMD Extensions": {
+            "baseline": __cpu_baseline__,
+            "found": [
+                feature for feature in __cpu_dispatch__ if __cpu_features__[feature]
+            ],
+            "not found": [
+                feature for feature in __cpu_dispatch__ if not __cpu_features__[feature]
+            ],
+        },
+    }
+)
+
+
+def _check_pyyaml():
+    import yaml
+
+    return yaml
+
+
+def show(mode=DisplayModes.stdout.value):
+    """
+    Show libraries and system information on which NumPy was built
+    and is being used
+
+    Parameters
+    ----------
+    mode : {`'stdout'`, `'dicts'`}, optional.
+        Indicates how to display the config information.
+        `'stdout'` prints to console, `'dicts'` returns a dictionary
+        of the configuration.
+
+    Returns
+    -------
+    out : {`dict`, `None`}
+        If mode is `'dicts'`, a dict is returned, else None
+
+    See Also
+    --------
+    get_include : Returns the directory containing NumPy C
+                  header files.
+
+    Notes
+    -----
+    1. The `'stdout'` mode will give more readable
+       output if ``pyyaml`` is installed
+
+    """
+    if mode == DisplayModes.stdout.value:
+        try:  # Non-standard library, check import
+            yaml = _check_pyyaml()
+
+            print(yaml.dump(CONFIG))
+        except ModuleNotFoundError:
+            import warnings
+            import json
+
+            warnings.warn("Install `pyyaml` for better output", stacklevel=1)
+            print(json.dumps(CONFIG, indent=2))
+    elif mode == DisplayModes.dicts.value:
+        return CONFIG
+    else:
+        raise AttributeError(
+            f"Invalid `mode`, use one of: {', '.join([e.value for e in DisplayModes])}"
+        )

.venv/lib/python3.11/site-packages/numpy/__init__.cython-30.pxd

@@ -0,0 +1,1049 @@
+# NumPy static imports for Cython >= 3.0
+#
+# If any of the PyArray_* functions are called, import_array must be
+# called first.  This is done automatically by Cython 3.0+ if a call
+# is not detected inside of the module.
+#
+# Author: Dag Sverre Seljebotn
+#
+
+from cpython.ref cimport Py_INCREF
+from cpython.object cimport PyObject, PyTypeObject, PyObject_TypeCheck
+cimport libc.stdio as stdio
+
+
+cdef extern from *:
+    # Leave a marker that the NumPy declarations came from NumPy itself and not from Cython.
+    # See https://github.com/cython/cython/issues/3573
+    """
+    /* Using NumPy API declarations from "numpy/__init__.cython-30.pxd" */
+    """
+
+
+cdef extern from "Python.h":
+    ctypedef Py_ssize_t Py_intptr_t
+
+cdef extern from "numpy/arrayobject.h":
+    ctypedef Py_intptr_t npy_intp
+    ctypedef size_t npy_uintp
+
+    cdef enum NPY_TYPES:
+        NPY_BOOL
+        NPY_BYTE
+        NPY_UBYTE
+        NPY_SHORT
+        NPY_USHORT
+        NPY_INT
+        NPY_UINT
+        NPY_LONG
+        NPY_ULONG
+        NPY_LONGLONG
+        NPY_ULONGLONG
+        NPY_FLOAT
+        NPY_DOUBLE
+        NPY_LONGDOUBLE
+        NPY_CFLOAT
+        NPY_CDOUBLE
+        NPY_CLONGDOUBLE
+        NPY_OBJECT
+        NPY_STRING
+        NPY_UNICODE
+        NPY_VOID
+        NPY_DATETIME
+        NPY_TIMEDELTA
+        NPY_NTYPES
+        NPY_NOTYPE
+
+        NPY_INT8
+        NPY_INT16
+        NPY_INT32
+        NPY_INT64
+        NPY_INT128
+        NPY_INT256
+        NPY_UINT8
+        NPY_UINT16
+        NPY_UINT32
+        NPY_UINT64
+        NPY_UINT128
+        NPY_UINT256
+        NPY_FLOAT16
+        NPY_FLOAT32
+        NPY_FLOAT64
+        NPY_FLOAT80
+        NPY_FLOAT96
+        NPY_FLOAT128
+        NPY_FLOAT256
+        NPY_COMPLEX32
+        NPY_COMPLEX64
+        NPY_COMPLEX128
+        NPY_COMPLEX160
+        NPY_COMPLEX192
+        NPY_COMPLEX256
+        NPY_COMPLEX512
+
+        NPY_INTP
+
+    ctypedef enum NPY_ORDER:
+        NPY_ANYORDER
+        NPY_CORDER
+        NPY_FORTRANORDER
+        NPY_KEEPORDER
+
+    ctypedef enum NPY_CASTING:
+        NPY_NO_CASTING
+        NPY_EQUIV_CASTING
+        NPY_SAFE_CASTING
+        NPY_SAME_KIND_CASTING
+        NPY_UNSAFE_CASTING
+
+    ctypedef enum NPY_CLIPMODE:
+        NPY_CLIP
+        NPY_WRAP
+        NPY_RAISE
+
+    ctypedef enum NPY_SCALARKIND:
+        NPY_NOSCALAR,
+        NPY_BOOL_SCALAR,
+        NPY_INTPOS_SCALAR,
+        NPY_INTNEG_SCALAR,
+        NPY_FLOAT_SCALAR,
+        NPY_COMPLEX_SCALAR,
+        NPY_OBJECT_SCALAR
+
+    ctypedef enum NPY_SORTKIND:
+        NPY_QUICKSORT
+        NPY_HEAPSORT
+        NPY_MERGESORT
+
+    ctypedef enum NPY_SEARCHSIDE:
+        NPY_SEARCHLEFT
+        NPY_SEARCHRIGHT
+
+    enum:
+        # DEPRECATED since NumPy 1.7 ! Do not use in new code!
+        NPY_C_CONTIGUOUS
+        NPY_F_CONTIGUOUS
+        NPY_CONTIGUOUS
+        NPY_FORTRAN
+        NPY_OWNDATA
+        NPY_FORCECAST
+        NPY_ENSURECOPY
+        NPY_ENSUREARRAY
+        NPY_ELEMENTSTRIDES
+        NPY_ALIGNED
+        NPY_NOTSWAPPED
+        NPY_WRITEABLE
+        NPY_ARR_HAS_DESCR
+
+        NPY_BEHAVED
+        NPY_BEHAVED_NS
+        NPY_CARRAY
+        NPY_CARRAY_RO
+        NPY_FARRAY
+        NPY_FARRAY_RO
+        NPY_DEFAULT
+
+        NPY_IN_ARRAY
+        NPY_OUT_ARRAY
+        NPY_INOUT_ARRAY
+        NPY_IN_FARRAY
+        NPY_OUT_FARRAY
+        NPY_INOUT_FARRAY
+
+        NPY_UPDATE_ALL
+
+    enum:
+        # Added in NumPy 1.7 to replace the deprecated enums above.
+        NPY_ARRAY_C_CONTIGUOUS
+        NPY_ARRAY_F_CONTIGUOUS
+        NPY_ARRAY_OWNDATA
+        NPY_ARRAY_FORCECAST
+        NPY_ARRAY_ENSURECOPY
+        NPY_ARRAY_ENSUREARRAY
+        NPY_ARRAY_ELEMENTSTRIDES
+        NPY_ARRAY_ALIGNED
+        NPY_ARRAY_NOTSWAPPED
+        NPY_ARRAY_WRITEABLE
+        NPY_ARRAY_WRITEBACKIFCOPY
+
+        NPY_ARRAY_BEHAVED
+        NPY_ARRAY_BEHAVED_NS
+        NPY_ARRAY_CARRAY
+        NPY_ARRAY_CARRAY_RO
+        NPY_ARRAY_FARRAY
+        NPY_ARRAY_FARRAY_RO
+        NPY_ARRAY_DEFAULT
+
+        NPY_ARRAY_IN_ARRAY
+        NPY_ARRAY_OUT_ARRAY
+        NPY_ARRAY_INOUT_ARRAY
+        NPY_ARRAY_IN_FARRAY
+        NPY_ARRAY_OUT_FARRAY
+        NPY_ARRAY_INOUT_FARRAY
+
+        NPY_ARRAY_UPDATE_ALL
+
+    cdef enum:
+        NPY_MAXDIMS
+
+    npy_intp NPY_MAX_ELSIZE
+
+    ctypedef void (*PyArray_VectorUnaryFunc)(void *, void *, npy_intp, void *,  void *)
+
+    ctypedef struct PyArray_ArrayDescr:
+        # shape is a tuple, but Cython doesn't support "tuple shape"
+        # inside a non-PyObject declaration, so we have to declare it
+        # as just a PyObject*.
+        PyObject* shape
+
+    ctypedef struct PyArray_Descr:
+        pass
+
+    ctypedef class numpy.dtype [object PyArray_Descr, check_size ignore]:
+        # Use PyDataType_* macros when possible, however there are no macros
+        # for accessing some of the fields, so some are defined.
+        cdef PyTypeObject* typeobj
+        cdef char kind
+        cdef char type
+        # Numpy sometimes mutates this without warning (e.g. it'll
+        # sometimes change "|" to "<" in shared dtype objects on
+        # little-endian machines). If this matters to you, use
+        # PyArray_IsNativeByteOrder(dtype.byteorder) instead of
+        # directly accessing this field.
+        cdef char byteorder
+        cdef char flags
+        cdef int type_num
+        cdef int itemsize "elsize"
+        cdef int alignment
+        cdef object fields
+        cdef tuple names
+        # Use PyDataType_HASSUBARRAY to test whether this field is
+        # valid (the pointer can be NULL). Most users should access
+        # this field via the inline helper method PyDataType_SHAPE.
+        cdef PyArray_ArrayDescr* subarray
+
+    ctypedef class numpy.flatiter [object PyArrayIterObject, check_size ignore]:
+        # Use through macros
+        pass
+
+    ctypedef class numpy.broadcast [object PyArrayMultiIterObject, check_size ignore]:
+        # Use through macros
+        pass
+
+    ctypedef struct PyArrayObject:
+        # For use in situations where ndarray can't replace PyArrayObject*,
+        # like PyArrayObject**.
+        pass
+
+    ctypedef class numpy.ndarray [object PyArrayObject, check_size ignore]:
+        cdef __cythonbufferdefaults__ = {"mode": "strided"}
+
+        # NOTE: no field declarations since direct access is deprecated since NumPy 1.7
+        # Instead, we use properties that map to the corresponding C-API functions.
+
+        @property
+        cdef inline PyObject* base(self) nogil:
+            """Returns a borrowed reference to the object owning the data/memory.
+            """
+            return PyArray_BASE(self)
+
+        @property
+        cdef inline dtype descr(self):
+            """Returns an owned reference to the dtype of the array.
+            """
+            return <dtype>PyArray_DESCR(self)
+
+        @property
+        cdef inline int ndim(self) nogil:
+            """Returns the number of dimensions in the array.
+            """
+            return PyArray_NDIM(self)
+
+        @property
+        cdef inline npy_intp *shape(self) nogil:
+            """Returns a pointer to the dimensions/shape of the array.
+            The number of elements matches the number of dimensions of the array (ndim).
+            Can return NULL for 0-dimensional arrays.
+            """
+            return PyArray_DIMS(self)
+
+        @property
+        cdef inline npy_intp *strides(self) nogil:
+            """Returns a pointer to the strides of the array.
+            The number of elements matches the number of dimensions of the array (ndim).
+            """
+            return PyArray_STRIDES(self)
+
+        @property
+        cdef inline npy_intp size(self) nogil:
+            """Returns the total size (in number of elements) of the array.
+            """
+            return PyArray_SIZE(self)
+
+        @property
+        cdef inline char* data(self) nogil:
+            """The pointer to the data buffer as a char*.
+            This is provided for legacy reasons to avoid direct struct field access.
+            For new code that needs this access, you probably want to cast the result
+            of `PyArray_DATA()` instead, which returns a 'void*'.
+            """
+            return PyArray_BYTES(self)
+
+    ctypedef unsigned char      npy_bool
+
+    ctypedef signed char      npy_byte
+    ctypedef signed short     npy_short
+    ctypedef signed int       npy_int
+    ctypedef signed long      npy_long
+    ctypedef signed long long npy_longlong
+
+    ctypedef unsigned char      npy_ubyte
+    ctypedef unsigned short     npy_ushort
+    ctypedef unsigned int       npy_uint
+    ctypedef unsigned long      npy_ulong
+    ctypedef unsigned long long npy_ulonglong
+
+    ctypedef float        npy_float
+    ctypedef double       npy_double
+    ctypedef long double  npy_longdouble
+
+    ctypedef signed char        npy_int8
+    ctypedef signed short       npy_int16
+    ctypedef signed int         npy_int32
+    ctypedef signed long long   npy_int64
+    ctypedef signed long long   npy_int96
+    ctypedef signed long long   npy_int128
+
+    ctypedef unsigned char      npy_uint8
+    ctypedef unsigned short     npy_uint16
+    ctypedef unsigned int       npy_uint32
+    ctypedef unsigned long long npy_uint64
+    ctypedef unsigned long long npy_uint96
+    ctypedef unsigned long long npy_uint128
+
+    ctypedef float        npy_float32
+    ctypedef double       npy_float64
+    ctypedef long double  npy_float80
+    ctypedef long double  npy_float96
+    ctypedef long double  npy_float128
+
+    ctypedef struct npy_cfloat:
+        float real
+        float imag
+
+    ctypedef struct npy_cdouble:
+        double real
+        double imag
+
+    ctypedef struct npy_clongdouble:
+        long double real
+        long double imag
+
+    ctypedef struct npy_complex64:
+        float real
+        float imag
+
+    ctypedef struct npy_complex128:
+        double real
+        double imag
+
+    ctypedef struct npy_complex160:
+        long double real
+        long double imag
+
+    ctypedef struct npy_complex192:
+        long double real
+        long double imag
+
+    ctypedef struct npy_complex256:
+        long double real
+        long double imag
+
+    ctypedef struct PyArray_Dims:
+        npy_intp *ptr
+        int len
+
+    int _import_array() except -1
+    # A second definition so _import_array isn't marked as used when we use it here.
+    # Do not use - subject to change any time.
+    int __pyx_import_array "_import_array"() except -1
+
+    #
+    # Macros from ndarrayobject.h
+    #
+    bint PyArray_CHKFLAGS(ndarray m, int flags) nogil
+    bint PyArray_IS_C_CONTIGUOUS(ndarray arr) nogil
+    bint PyArray_IS_F_CONTIGUOUS(ndarray arr) nogil
+    bint PyArray_ISCONTIGUOUS(ndarray m) nogil
+    bint PyArray_ISWRITEABLE(ndarray m) nogil
+    bint PyArray_ISALIGNED(ndarray m) nogil
+
+    int PyArray_NDIM(ndarray) nogil
+    bint PyArray_ISONESEGMENT(ndarray) nogil
+    bint PyArray_ISFORTRAN(ndarray) nogil
+    int PyArray_FORTRANIF(ndarray) nogil
+
+    void* PyArray_DATA(ndarray) nogil
+    char* PyArray_BYTES(ndarray) nogil
+
+    npy_intp* PyArray_DIMS(ndarray) nogil
+    npy_intp* PyArray_STRIDES(ndarray) nogil
+    npy_intp PyArray_DIM(ndarray, size_t) nogil
+    npy_intp PyArray_STRIDE(ndarray, size_t) nogil
+
+    PyObject *PyArray_BASE(ndarray) nogil  # returns borrowed reference!
+    PyArray_Descr *PyArray_DESCR(ndarray) nogil  # returns borrowed reference to dtype!
+    PyArray_Descr *PyArray_DTYPE(ndarray) nogil  # returns borrowed reference to dtype! NP 1.7+ alias for descr.
+    int PyArray_FLAGS(ndarray) nogil
+    void PyArray_CLEARFLAGS(ndarray, int flags) nogil  # Added in NumPy 1.7
+    void PyArray_ENABLEFLAGS(ndarray, int flags) nogil  # Added in NumPy 1.7
+    npy_intp PyArray_ITEMSIZE(ndarray) nogil
+    int PyArray_TYPE(ndarray arr) nogil
+
+    object PyArray_GETITEM(ndarray arr, void *itemptr)
+    int PyArray_SETITEM(ndarray arr, void *itemptr, object obj) except -1
+
+    bint PyTypeNum_ISBOOL(int) nogil
+    bint PyTypeNum_ISUNSIGNED(int) nogil
+    bint PyTypeNum_ISSIGNED(int) nogil
+    bint PyTypeNum_ISINTEGER(int) nogil
+    bint PyTypeNum_ISFLOAT(int) nogil
+    bint PyTypeNum_ISNUMBER(int) nogil
+    bint PyTypeNum_ISSTRING(int) nogil
+    bint PyTypeNum_ISCOMPLEX(int) nogil
+    bint PyTypeNum_ISPYTHON(int) nogil
+    bint PyTypeNum_ISFLEXIBLE(int) nogil
+    bint PyTypeNum_ISUSERDEF(int) nogil
+    bint PyTypeNum_ISEXTENDED(int) nogil
+    bint PyTypeNum_ISOBJECT(int) nogil
+
+    bint PyDataType_ISBOOL(dtype) nogil
+    bint PyDataType_ISUNSIGNED(dtype) nogil
+    bint PyDataType_ISSIGNED(dtype) nogil
+    bint PyDataType_ISINTEGER(dtype) nogil
+    bint PyDataType_ISFLOAT(dtype) nogil
+    bint PyDataType_ISNUMBER(dtype) nogil
+    bint PyDataType_ISSTRING(dtype) nogil
+    bint PyDataType_ISCOMPLEX(dtype) nogil
+    bint PyDataType_ISPYTHON(dtype) nogil
+    bint PyDataType_ISFLEXIBLE(dtype) nogil
+    bint PyDataType_ISUSERDEF(dtype) nogil
+    bint PyDataType_ISEXTENDED(dtype) nogil
+    bint PyDataType_ISOBJECT(dtype) nogil
+    bint PyDataType_HASFIELDS(dtype) nogil
+    bint PyDataType_HASSUBARRAY(dtype) nogil
+
+    bint PyArray_ISBOOL(ndarray) nogil
+    bint PyArray_ISUNSIGNED(ndarray) nogil
+    bint PyArray_ISSIGNED(ndarray) nogil
+    bint PyArray_ISINTEGER(ndarray) nogil
+    bint PyArray_ISFLOAT(ndarray) nogil
+    bint PyArray_ISNUMBER(ndarray) nogil
+    bint PyArray_ISSTRING(ndarray) nogil
+    bint PyArray_ISCOMPLEX(ndarray) nogil
+    bint PyArray_ISPYTHON(ndarray) nogil
+    bint PyArray_ISFLEXIBLE(ndarray) nogil
+    bint PyArray_ISUSERDEF(ndarray) nogil
+    bint PyArray_ISEXTENDED(ndarray) nogil
+    bint PyArray_ISOBJECT(ndarray) nogil
+    bint PyArray_HASFIELDS(ndarray) nogil
+
+    bint PyArray_ISVARIABLE(ndarray) nogil
+
+    bint PyArray_SAFEALIGNEDCOPY(ndarray) nogil
+    bint PyArray_ISNBO(char) nogil              # works on ndarray.byteorder
+    bint PyArray_IsNativeByteOrder(char) nogil # works on ndarray.byteorder
+    bint PyArray_ISNOTSWAPPED(ndarray) nogil
+    bint PyArray_ISBYTESWAPPED(ndarray) nogil
+
+    bint PyArray_FLAGSWAP(ndarray, int) nogil
+
+    bint PyArray_ISCARRAY(ndarray) nogil
+    bint PyArray_ISCARRAY_RO(ndarray) nogil
+    bint PyArray_ISFARRAY(ndarray) nogil
+    bint PyArray_ISFARRAY_RO(ndarray) nogil
+    bint PyArray_ISBEHAVED(ndarray) nogil
+    bint PyArray_ISBEHAVED_RO(ndarray) nogil
+
+
+    bint PyDataType_ISNOTSWAPPED(dtype) nogil
+    bint PyDataType_ISBYTESWAPPED(dtype) nogil
+
+    bint PyArray_DescrCheck(object)
+
+    bint PyArray_Check(object)
+    bint PyArray_CheckExact(object)
+
+    # Cannot be supported due to out arg:
+    # bint PyArray_HasArrayInterfaceType(object, dtype, object, object&)
+    # bint PyArray_HasArrayInterface(op, out)
+
+
+    bint PyArray_IsZeroDim(object)
+    # Cannot be supported due to ## ## in macro:
+    # bint PyArray_IsScalar(object, verbatim work)
+    bint PyArray_CheckScalar(object)
+    bint PyArray_IsPythonNumber(object)
+    bint PyArray_IsPythonScalar(object)
+    bint PyArray_IsAnyScalar(object)
+    bint PyArray_CheckAnyScalar(object)
+
+    ndarray PyArray_GETCONTIGUOUS(ndarray)
+    bint PyArray_SAMESHAPE(ndarray, ndarray) nogil
+    npy_intp PyArray_SIZE(ndarray) nogil
+    npy_intp PyArray_NBYTES(ndarray) nogil
+
+    object PyArray_FROM_O(object)
+    object PyArray_FROM_OF(object m, int flags)
+    object PyArray_FROM_OT(object m, int type)
+    object PyArray_FROM_OTF(object m, int type, int flags)
+    object PyArray_FROMANY(object m, int type, int min, int max, int flags)
+    object PyArray_ZEROS(int nd, npy_intp* dims, int type, int fortran)
+    object PyArray_EMPTY(int nd, npy_intp* dims, int type, int fortran)
+    void PyArray_FILLWBYTE(object, int val)
+    npy_intp PyArray_REFCOUNT(object)
+    object PyArray_ContiguousFromAny(op, int, int min_depth, int max_depth)
+    unsigned char PyArray_EquivArrTypes(ndarray a1, ndarray a2)
+    bint PyArray_EquivByteorders(int b1, int b2) nogil
+    object PyArray_SimpleNew(int nd, npy_intp* dims, int typenum)
+    object PyArray_SimpleNewFromData(int nd, npy_intp* dims, int typenum, void* data)
+    #object PyArray_SimpleNewFromDescr(int nd, npy_intp* dims, dtype descr)
+    object PyArray_ToScalar(void* data, ndarray arr)
+
+    void* PyArray_GETPTR1(ndarray m, npy_intp i) nogil
+    void* PyArray_GETPTR2(ndarray m, npy_intp i, npy_intp j) nogil
+    void* PyArray_GETPTR3(ndarray m, npy_intp i, npy_intp j, npy_intp k) nogil
+    void* PyArray_GETPTR4(ndarray m, npy_intp i, npy_intp j, npy_intp k, npy_intp l) nogil
+
+    # Cannot be supported due to out arg
+    # void PyArray_DESCR_REPLACE(descr)
+
+
+    object PyArray_Copy(ndarray)
+    object PyArray_FromObject(object op, int type, int min_depth, int max_depth)
+    object PyArray_ContiguousFromObject(object op, int type, int min_depth, int max_depth)
+    object PyArray_CopyFromObject(object op, int type, int min_depth, int max_depth)
+
+    object PyArray_Cast(ndarray mp, int type_num)
+    object PyArray_Take(ndarray ap, object items, int axis)
+    object PyArray_Put(ndarray ap, object items, object values)
+
+    void PyArray_ITER_RESET(flatiter it) nogil
+    void PyArray_ITER_NEXT(flatiter it) nogil
+    void PyArray_ITER_GOTO(flatiter it, npy_intp* destination) nogil
+    void PyArray_ITER_GOTO1D(flatiter it, npy_intp ind) nogil
+    void* PyArray_ITER_DATA(flatiter it) nogil
+    bint PyArray_ITER_NOTDONE(flatiter it) nogil
+
+    void PyArray_MultiIter_RESET(broadcast multi) nogil
+    void PyArray_MultiIter_NEXT(broadcast multi) nogil
+    void PyArray_MultiIter_GOTO(broadcast multi, npy_intp dest) nogil
+    void PyArray_MultiIter_GOTO1D(broadcast multi, npy_intp ind) nogil
+    void* PyArray_MultiIter_DATA(broadcast multi, npy_intp i) nogil
+    void PyArray_MultiIter_NEXTi(broadcast multi, npy_intp i) nogil
+    bint PyArray_MultiIter_NOTDONE(broadcast multi) nogil
+
+    # Functions from __multiarray_api.h
+
+    # Functions taking dtype and returning object/ndarray are disabled
+    # for now as they steal dtype references. I'm conservative and disable
+    # more than is probably needed until it can be checked further.
+    int PyArray_SetNumericOps (object) except -1
+    object PyArray_GetNumericOps ()
+    int PyArray_INCREF (ndarray) except *  # uses PyArray_Item_INCREF...
+    int PyArray_XDECREF (ndarray) except *  # uses PyArray_Item_DECREF...
+    void PyArray_SetStringFunction (object, int)
+    dtype PyArray_DescrFromType (int)
+    object PyArray_TypeObjectFromType (int)
+    char * PyArray_Zero (ndarray)
+    char * PyArray_One (ndarray)
+    #object PyArray_CastToType (ndarray, dtype, int)
+    int PyArray_CastTo (ndarray, ndarray) except -1
+    int PyArray_CastAnyTo (ndarray, ndarray) except -1
+    int PyArray_CanCastSafely (int, int)  # writes errors
+    npy_bool PyArray_CanCastTo (dtype, dtype)  # writes errors
+    int PyArray_ObjectType (object, int) except 0
+    dtype PyArray_DescrFromObject (object, dtype)
+    #ndarray* PyArray_ConvertToCommonType (object, int *)
+    dtype PyArray_DescrFromScalar (object)
+    dtype PyArray_DescrFromTypeObject (object)
+    npy_intp PyArray_Size (object)
+    #object PyArray_Scalar (void *, dtype, object)
+    #object PyArray_FromScalar (object, dtype)
+    void PyArray_ScalarAsCtype (object, void *)
+    #int PyArray_CastScalarToCtype (object, void *, dtype)
+    #int PyArray_CastScalarDirect (object, dtype, void *, int)
+    object PyArray_ScalarFromObject (object)
+    #PyArray_VectorUnaryFunc * PyArray_GetCastFunc (dtype, int)
+    object PyArray_FromDims (int, int *, int)
+    #object PyArray_FromDimsAndDataAndDescr (int, int *, dtype, char *)
+    #object PyArray_FromAny (object, dtype, int, int, int, object)
+    object PyArray_EnsureArray (object)
+    object PyArray_EnsureAnyArray (object)
+    #object PyArray_FromFile (stdio.FILE *, dtype, npy_intp, char *)
+    #object PyArray_FromString (char *, npy_intp, dtype, npy_intp, char *)
+    #object PyArray_FromBuffer (object, dtype, npy_intp, npy_intp)
+    #object PyArray_FromIter (object, dtype, npy_intp)
+    object PyArray_Return (ndarray)
+    #object PyArray_GetField (ndarray, dtype, int)
+    #int PyArray_SetField (ndarray, dtype, int, object) except -1
+    object PyArray_Byteswap (ndarray, npy_bool)
+    object PyArray_Resize (ndarray, PyArray_Dims *, int, NPY_ORDER)
+    int PyArray_MoveInto (ndarray, ndarray) except -1
+    int PyArray_CopyInto (ndarray, ndarray) except -1
+    int PyArray_CopyAnyInto (ndarray, ndarray) except -1
+    int PyArray_CopyObject (ndarray, object) except -1
+    object PyArray_NewCopy (ndarray, NPY_ORDER)
+    object PyArray_ToList (ndarray)
+    object PyArray_ToString (ndarray, NPY_ORDER)
+    int PyArray_ToFile (ndarray, stdio.FILE *, char *, char *) except -1
+    int PyArray_Dump (object, object, int) except -1
+    object PyArray_Dumps (object, int)
+    int PyArray_ValidType (int)  # Cannot error
+    void PyArray_UpdateFlags (ndarray, int)
+    object PyArray_New (type, int, npy_intp *, int, npy_intp *, void *, int, int, object)
+    #object PyArray_NewFromDescr (type, dtype, int, npy_intp *, npy_intp *, void *, int, object)
+    #dtype PyArray_DescrNew (dtype)
+    dtype PyArray_DescrNewFromType (int)
+    double PyArray_GetPriority (object, double)  # clears errors as of 1.25
+    object PyArray_IterNew (object)
+    object PyArray_MultiIterNew (int, ...)
+
+    int PyArray_PyIntAsInt (object) except? -1
+    npy_intp PyArray_PyIntAsIntp (object)
+    int PyArray_Broadcast (broadcast) except -1
+    void PyArray_FillObjectArray (ndarray, object) except *
+    int PyArray_FillWithScalar (ndarray, object) except -1
+    npy_bool PyArray_CheckStrides (int, int, npy_intp, npy_intp, npy_intp *, npy_intp *)
+    dtype PyArray_DescrNewByteorder (dtype, char)
+    object PyArray_IterAllButAxis (object, int *)
+    #object PyArray_CheckFromAny (object, dtype, int, int, int, object)
+    #object PyArray_FromArray (ndarray, dtype, int)
+    object PyArray_FromInterface (object)
+    object PyArray_FromStructInterface (object)
+    #object PyArray_FromArrayAttr (object, dtype, object)
+    #NPY_SCALARKIND PyArray_ScalarKind (int, ndarray*)
+    int PyArray_CanCoerceScalar (int, int, NPY_SCALARKIND)
+    object PyArray_NewFlagsObject (object)
+    npy_bool PyArray_CanCastScalar (type, type)
+    #int PyArray_CompareUCS4 (npy_ucs4 *, npy_ucs4 *, register size_t)
+    int PyArray_RemoveSmallest (broadcast) except -1
+    int PyArray_ElementStrides (object)
+    void PyArray_Item_INCREF (char *, dtype) except *
+    void PyArray_Item_XDECREF (char *, dtype) except *
+    object PyArray_FieldNames (object)
+    object PyArray_Transpose (ndarray, PyArray_Dims *)
+    object PyArray_TakeFrom (ndarray, object, int, ndarray, NPY_CLIPMODE)
+    object PyArray_PutTo (ndarray, object, object, NPY_CLIPMODE)
+    object PyArray_PutMask (ndarray, object, object)
+    object PyArray_Repeat (ndarray, object, int)
+    object PyArray_Choose (ndarray, object, ndarray, NPY_CLIPMODE)
+    int PyArray_Sort (ndarray, int, NPY_SORTKIND) except -1
+    object PyArray_ArgSort (ndarray, int, NPY_SORTKIND)
+    object PyArray_SearchSorted (ndarray, object, NPY_SEARCHSIDE, PyObject *)
+    object PyArray_ArgMax (ndarray, int, ndarray)
+    object PyArray_ArgMin (ndarray, int, ndarray)
+    object PyArray_Reshape (ndarray, object)
+    object PyArray_Newshape (ndarray, PyArray_Dims *, NPY_ORDER)
+    object PyArray_Squeeze (ndarray)
+    #object PyArray_View (ndarray, dtype, type)
+    object PyArray_SwapAxes (ndarray, int, int)
+    object PyArray_Max (ndarray, int, ndarray)
+    object PyArray_Min (ndarray, int, ndarray)
+    object PyArray_Ptp (ndarray, int, ndarray)
+    object PyArray_Mean (ndarray, int, int, ndarray)
+    object PyArray_Trace (ndarray, int, int, int, int, ndarray)
+    object PyArray_Diagonal (ndarray, int, int, int)
+    object PyArray_Clip (ndarray, object, object, ndarray)
+    object PyArray_Conjugate (ndarray, ndarray)
+    object PyArray_Nonzero (ndarray)
+    object PyArray_Std (ndarray, int, int, ndarray, int)
+    object PyArray_Sum (ndarray, int, int, ndarray)
+    object PyArray_CumSum (ndarray, int, int, ndarray)
+    object PyArray_Prod (ndarray, int, int, ndarray)
+    object PyArray_CumProd (ndarray, int, int, ndarray)
+    object PyArray_All (ndarray, int, ndarray)
+    object PyArray_Any (ndarray, int, ndarray)
+    object PyArray_Compress (ndarray, object, int, ndarray)
+    object PyArray_Flatten (ndarray, NPY_ORDER)
+    object PyArray_Ravel (ndarray, NPY_ORDER)
+    npy_intp PyArray_MultiplyList (npy_intp *, int)
+    int PyArray_MultiplyIntList (int *, int)
+    void * PyArray_GetPtr (ndarray, npy_intp*)
+    int PyArray_CompareLists (npy_intp *, npy_intp *, int)
+    #int PyArray_AsCArray (object*, void *, npy_intp *, int, dtype)
+    #int PyArray_As1D (object*, char **, int *, int)
+    #int PyArray_As2D (object*, char ***, int *, int *, int)
+    int PyArray_Free (object, void *)
+    #int PyArray_Converter (object, object*)
+    int PyArray_IntpFromSequence (object, npy_intp *, int) except -1
+    object PyArray_Concatenate (object, int)
+    object PyArray_InnerProduct (object, object)
+    object PyArray_MatrixProduct (object, object)
+    object PyArray_CopyAndTranspose (object)
+    object PyArray_Correlate (object, object, int)
+    int PyArray_TypestrConvert (int, int)
+    #int PyArray_DescrConverter (object, dtype*) except 0
+    #int PyArray_DescrConverter2 (object, dtype*) except 0
+    int PyArray_IntpConverter (object, PyArray_Dims *) except 0
+    #int PyArray_BufferConverter (object, chunk) except 0
+    int PyArray_AxisConverter (object, int *) except 0
+    int PyArray_BoolConverter (object, npy_bool *) except 0
+    int PyArray_ByteorderConverter (object, char *) except 0
+    int PyArray_OrderConverter (object, NPY_ORDER *) except 0
+    unsigned char PyArray_EquivTypes (dtype, dtype)  # clears errors
+    #object PyArray_Zeros (int, npy_intp *, dtype, int)
+    #object PyArray_Empty (int, npy_intp *, dtype, int)
+    object PyArray_Where (object, object, object)
+    object PyArray_Arange (double, double, double, int)
+    #object PyArray_ArangeObj (object, object, object, dtype)
+    int PyArray_SortkindConverter (object, NPY_SORTKIND *) except 0
+    object PyArray_LexSort (object, int)
+    object PyArray_Round (ndarray, int, ndarray)
+    unsigned char PyArray_EquivTypenums (int, int)
+    int PyArray_RegisterDataType (dtype) except -1
+    int PyArray_RegisterCastFunc (dtype, int, PyArray_VectorUnaryFunc *) except -1
+    int PyArray_RegisterCanCast (dtype, int, NPY_SCALARKIND) except -1
+    #void PyArray_InitArrFuncs (PyArray_ArrFuncs *)
+    object PyArray_IntTupleFromIntp (int, npy_intp *)
+    int PyArray_TypeNumFromName (char *)
+    int PyArray_ClipmodeConverter (object, NPY_CLIPMODE *) except 0
+    #int PyArray_OutputConverter (object, ndarray*) except 0
+    object PyArray_BroadcastToShape (object, npy_intp *, int)
+    void _PyArray_SigintHandler (int)
+    void* _PyArray_GetSigintBuf ()
+    #int PyArray_DescrAlignConverter (object, dtype*) except 0
+    #int PyArray_DescrAlignConverter2 (object, dtype*) except 0
+    int PyArray_SearchsideConverter (object, void *) except 0
+    object PyArray_CheckAxis (ndarray, int *, int)
+    npy_intp PyArray_OverflowMultiplyList (npy_intp *, int)
+    int PyArray_CompareString (char *, char *, size_t)
+    int PyArray_SetBaseObject(ndarray, base) except -1 # NOTE: steals a reference to base! Use "set_array_base()" instead.
+
+
+# Typedefs that matches the runtime dtype objects in
+# the numpy module.
+
+# The ones that are commented out needs an IFDEF function
+# in Cython to enable them only on the right systems.
+
+ctypedef npy_int8       int8_t
+ctypedef npy_int16      int16_t
+ctypedef npy_int32      int32_t
+ctypedef npy_int64      int64_t
+#ctypedef npy_int96      int96_t
+#ctypedef npy_int128     int128_t
+
+ctypedef npy_uint8      uint8_t
+ctypedef npy_uint16     uint16_t
+ctypedef npy_uint32     uint32_t
+ctypedef npy_uint64     uint64_t
+#ctypedef npy_uint96     uint96_t
+#ctypedef npy_uint128    uint128_t
+
+ctypedef npy_float32    float32_t
+ctypedef npy_float64    float64_t
+#ctypedef npy_float80    float80_t
+#ctypedef npy_float128   float128_t
+
+ctypedef float complex  complex64_t
+ctypedef double complex complex128_t
+
+# The int types are mapped a bit surprising --
+# numpy.int corresponds to 'l' and numpy.long to 'q'
+ctypedef npy_long       int_t
+ctypedef npy_longlong   longlong_t
+
+ctypedef npy_ulong      uint_t
+ctypedef npy_ulonglong  ulonglong_t
+
+ctypedef npy_intp       intp_t
+ctypedef npy_uintp      uintp_t
+
+ctypedef npy_double     float_t
+ctypedef npy_double     double_t
+ctypedef npy_longdouble longdouble_t
+
+ctypedef npy_cfloat      cfloat_t
+ctypedef npy_cdouble     cdouble_t
+ctypedef npy_clongdouble clongdouble_t
+
+ctypedef npy_cdouble     complex_t
+
+cdef inline object PyArray_MultiIterNew1(a):
+    return PyArray_MultiIterNew(1, <void*>a)
+
+cdef inline object PyArray_MultiIterNew2(a, b):
+    return PyArray_MultiIterNew(2, <void*>a, <void*>b)
+
+cdef inline object PyArray_MultiIterNew3(a, b, c):
+    return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
+
+cdef inline object PyArray_MultiIterNew4(a, b, c, d):
+    return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
+
+cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):
+    return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
+
+cdef inline tuple PyDataType_SHAPE(dtype d):
+    if PyDataType_HASSUBARRAY(d):
+        return <tuple>d.subarray.shape
+    else:
+        return ()
+
+
+cdef extern from "numpy/ndarrayobject.h":
+    PyTypeObject PyTimedeltaArrType_Type
+    PyTypeObject PyDatetimeArrType_Type
+    ctypedef int64_t npy_timedelta
+    ctypedef int64_t npy_datetime
+
+cdef extern from "numpy/ndarraytypes.h":
+    ctypedef struct PyArray_DatetimeMetaData:
+        NPY_DATETIMEUNIT base
+        int64_t num
+
+cdef extern from "numpy/arrayscalars.h":
+
+    # abstract types
+    ctypedef class numpy.generic [object PyObject]:
+        pass
+    ctypedef class numpy.number [object PyObject]:
+        pass
+    ctypedef class numpy.integer [object PyObject]:
+        pass
+    ctypedef class numpy.signedinteger [object PyObject]:
+        pass
+    ctypedef class numpy.unsignedinteger [object PyObject]:
+        pass
+    ctypedef class numpy.inexact [object PyObject]:
+        pass
+    ctypedef class numpy.floating [object PyObject]:
+        pass
+    ctypedef class numpy.complexfloating [object PyObject]:
+        pass
+    ctypedef class numpy.flexible [object PyObject]:
+        pass
+    ctypedef class numpy.character [object PyObject]:
+        pass
+
+    ctypedef struct PyDatetimeScalarObject:
+        # PyObject_HEAD
+        npy_datetime obval
+        PyArray_DatetimeMetaData obmeta
+
+    ctypedef struct PyTimedeltaScalarObject:
+        # PyObject_HEAD
+        npy_timedelta obval
+        PyArray_DatetimeMetaData obmeta
+
+    ctypedef enum NPY_DATETIMEUNIT:
+        NPY_FR_Y
+        NPY_FR_M
+        NPY_FR_W
+        NPY_FR_D
+        NPY_FR_B
+        NPY_FR_h
+        NPY_FR_m
+        NPY_FR_s
+        NPY_FR_ms
+        NPY_FR_us
+        NPY_FR_ns
+        NPY_FR_ps
+        NPY_FR_fs
+        NPY_FR_as
+
+
+#
+# ufunc API
+#
+
+cdef extern from "numpy/ufuncobject.h":
+
+    ctypedef void (*PyUFuncGenericFunction) (char **, npy_intp *, npy_intp *, void *)
+
+    ctypedef class numpy.ufunc [object PyUFuncObject, check_size ignore]:
+        cdef:
+            int nin, nout, nargs
+            int identity
+            PyUFuncGenericFunction *functions
+            void **data
+            int ntypes
+            int check_return
+            char *name
+            char *types
+            char *doc
+            void *ptr
+            PyObject *obj
+            PyObject *userloops
+
+    cdef enum:
+        PyUFunc_Zero
+        PyUFunc_One
+        PyUFunc_None
+        UFUNC_ERR_IGNORE
+        UFUNC_ERR_WARN
+        UFUNC_ERR_RAISE
+        UFUNC_ERR_CALL
+        UFUNC_ERR_PRINT
+        UFUNC_ERR_LOG
+        UFUNC_MASK_DIVIDEBYZERO
+        UFUNC_MASK_OVERFLOW
+        UFUNC_MASK_UNDERFLOW
+        UFUNC_MASK_INVALID
+        UFUNC_SHIFT_DIVIDEBYZERO
+        UFUNC_SHIFT_OVERFLOW
+        UFUNC_SHIFT_UNDERFLOW
+        UFUNC_SHIFT_INVALID
+        UFUNC_FPE_DIVIDEBYZERO
+        UFUNC_FPE_OVERFLOW
+        UFUNC_FPE_UNDERFLOW
+        UFUNC_FPE_INVALID
+        UFUNC_ERR_DEFAULT
+        UFUNC_ERR_DEFAULT2
+
+    object PyUFunc_FromFuncAndData(PyUFuncGenericFunction *,
+          void **, char *, int, int, int, int, char *, char *, int)
+    int PyUFunc_RegisterLoopForType(ufunc, int,
+                                    PyUFuncGenericFunction, int *, void *) except -1
+    void PyUFunc_f_f_As_d_d \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_d_d \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_f_f \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_g_g \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_F_F_As_D_D \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_F_F \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_D_D \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_G_G \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_O_O \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_ff_f_As_dd_d \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_ff_f \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_dd_d \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_gg_g \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_FF_F_As_DD_D \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_DD_D \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_FF_F \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_GG_G \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_OO_O \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_O_O_method \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_OO_O_method \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_On_Om \
+         (char **, npy_intp *, npy_intp *, void *)
+    int PyUFunc_GetPyValues \
+        (char *, int *, int *, PyObject **)
+    int PyUFunc_checkfperr \
+           (int, PyObject *, int *)
+    void PyUFunc_clearfperr()
+    int PyUFunc_getfperr()
+    int PyUFunc_handlefperr \
+        (int, PyObject *, int, int *) except -1
+    int PyUFunc_ReplaceLoopBySignature \
+        (ufunc, PyUFuncGenericFunction, int *, PyUFuncGenericFunction *)
+    object PyUFunc_FromFuncAndDataAndSignature \
+             (PyUFuncGenericFunction *, void **, char *, int, int, int,
+              int, char *, char *, int, char *)
+
+    int _import_umath() except -1
+
+cdef inline void set_array_base(ndarray arr, object base):
+    Py_INCREF(base) # important to do this before stealing the reference below!
+    PyArray_SetBaseObject(arr, base)
+
+cdef inline object get_array_base(ndarray arr):
+    base = PyArray_BASE(arr)
+    if base is NULL:
+        return None
+    return <object>base
+
+# Versions of the import_* functions which are more suitable for
+# Cython code.
+cdef inline int import_array() except -1:
+    try:
+        __pyx_import_array()
+    except Exception:
+        raise ImportError("numpy.core.multiarray failed to import")
+
+cdef inline int import_umath() except -1:
+    try:
+        _import_umath()
+    except Exception:
+        raise ImportError("numpy.core.umath failed to import")
+
+cdef inline int import_ufunc() except -1:
+    try:
+        _import_umath()
+    except Exception:
+        raise ImportError("numpy.core.umath failed to import")
+
+
+cdef inline bint is_timedelta64_object(object obj):
+    """
+    Cython equivalent of `isinstance(obj, np.timedelta64)`
+
+    Parameters
+    ----------
+    obj : object
+
+    Returns
+    -------
+    bool
+    """
+    return PyObject_TypeCheck(obj, &PyTimedeltaArrType_Type)
+
+
+cdef inline bint is_datetime64_object(object obj):
+    """
+    Cython equivalent of `isinstance(obj, np.datetime64)`
+
+    Parameters
+    ----------
+    obj : object
+
+    Returns
+    -------
+    bool
+    """
+    return PyObject_TypeCheck(obj, &PyDatetimeArrType_Type)
+
+
+cdef inline npy_datetime get_datetime64_value(object obj) nogil:
+    """
+    returns the int64 value underlying scalar numpy datetime64 object
+
+    Note that to interpret this as a datetime, the corresponding unit is
+    also needed.  That can be found using `get_datetime64_unit`.
+    """
+    return (<PyDatetimeScalarObject*>obj).obval
+
+
+cdef inline npy_timedelta get_timedelta64_value(object obj) nogil:
+    """
+    returns the int64 value underlying scalar numpy timedelta64 object
+    """
+    return (<PyTimedeltaScalarObject*>obj).obval
+
+
+cdef inline NPY_DATETIMEUNIT get_datetime64_unit(object obj) nogil:
+    """
+    returns the unit part of the dtype for a numpy datetime64 object.
+    """
+    return <NPY_DATETIMEUNIT>(<PyDatetimeScalarObject*>obj).obmeta.base

.venv/lib/python3.11/site-packages/numpy/__init__.pxd

@@ -0,0 +1,1014 @@
+# NumPy static imports for Cython < 3.0
+#
+# If any of the PyArray_* functions are called, import_array must be
+# called first.
+#
+# Author: Dag Sverre Seljebotn
+#
+
+DEF _buffer_format_string_len = 255
+
+cimport cpython.buffer as pybuf
+from cpython.ref cimport Py_INCREF
+from cpython.mem cimport PyObject_Malloc, PyObject_Free
+from cpython.object cimport PyObject, PyTypeObject
+from cpython.buffer cimport PyObject_GetBuffer
+from cpython.type cimport type
+cimport libc.stdio as stdio
+
+cdef extern from "Python.h":
+    ctypedef int Py_intptr_t
+    bint PyObject_TypeCheck(object obj, PyTypeObject* type)
+
+cdef extern from "numpy/arrayobject.h":
+    ctypedef Py_intptr_t npy_intp
+    ctypedef size_t npy_uintp
+
+    cdef enum NPY_TYPES:
+        NPY_BOOL
+        NPY_BYTE
+        NPY_UBYTE
+        NPY_SHORT
+        NPY_USHORT
+        NPY_INT
+        NPY_UINT
+        NPY_LONG
+        NPY_ULONG
+        NPY_LONGLONG
+        NPY_ULONGLONG
+        NPY_FLOAT
+        NPY_DOUBLE
+        NPY_LONGDOUBLE
+        NPY_CFLOAT
+        NPY_CDOUBLE
+        NPY_CLONGDOUBLE
+        NPY_OBJECT
+        NPY_STRING
+        NPY_UNICODE
+        NPY_VOID
+        NPY_DATETIME
+        NPY_TIMEDELTA
+        NPY_NTYPES
+        NPY_NOTYPE
+
+        NPY_INT8
+        NPY_INT16
+        NPY_INT32
+        NPY_INT64
+        NPY_INT128
+        NPY_INT256
+        NPY_UINT8
+        NPY_UINT16
+        NPY_UINT32
+        NPY_UINT64
+        NPY_UINT128
+        NPY_UINT256
+        NPY_FLOAT16
+        NPY_FLOAT32
+        NPY_FLOAT64
+        NPY_FLOAT80
+        NPY_FLOAT96
+        NPY_FLOAT128
+        NPY_FLOAT256
+        NPY_COMPLEX32
+        NPY_COMPLEX64
+        NPY_COMPLEX128
+        NPY_COMPLEX160
+        NPY_COMPLEX192
+        NPY_COMPLEX256
+        NPY_COMPLEX512
+
+        NPY_INTP
+
+    ctypedef enum NPY_ORDER:
+        NPY_ANYORDER
+        NPY_CORDER
+        NPY_FORTRANORDER
+        NPY_KEEPORDER
+
+    ctypedef enum NPY_CASTING:
+        NPY_NO_CASTING
+        NPY_EQUIV_CASTING
+        NPY_SAFE_CASTING
+        NPY_SAME_KIND_CASTING
+        NPY_UNSAFE_CASTING
+
+    ctypedef enum NPY_CLIPMODE:
+        NPY_CLIP
+        NPY_WRAP
+        NPY_RAISE
+
+    ctypedef enum NPY_SCALARKIND:
+        NPY_NOSCALAR,
+        NPY_BOOL_SCALAR,
+        NPY_INTPOS_SCALAR,
+        NPY_INTNEG_SCALAR,
+        NPY_FLOAT_SCALAR,
+        NPY_COMPLEX_SCALAR,
+        NPY_OBJECT_SCALAR
+
+    ctypedef enum NPY_SORTKIND:
+        NPY_QUICKSORT
+        NPY_HEAPSORT
+        NPY_MERGESORT
+
+    ctypedef enum NPY_SEARCHSIDE:
+        NPY_SEARCHLEFT
+        NPY_SEARCHRIGHT
+
+    enum:
+        # DEPRECATED since NumPy 1.7 ! Do not use in new code!
+        NPY_C_CONTIGUOUS
+        NPY_F_CONTIGUOUS
+        NPY_CONTIGUOUS
+        NPY_FORTRAN
+        NPY_OWNDATA
+        NPY_FORCECAST
+        NPY_ENSURECOPY
+        NPY_ENSUREARRAY
+        NPY_ELEMENTSTRIDES
+        NPY_ALIGNED
+        NPY_NOTSWAPPED
+        NPY_WRITEABLE
+        NPY_ARR_HAS_DESCR
+
+        NPY_BEHAVED
+        NPY_BEHAVED_NS
+        NPY_CARRAY
+        NPY_CARRAY_RO
+        NPY_FARRAY
+        NPY_FARRAY_RO
+        NPY_DEFAULT
+
+        NPY_IN_ARRAY
+        NPY_OUT_ARRAY
+        NPY_INOUT_ARRAY
+        NPY_IN_FARRAY
+        NPY_OUT_FARRAY
+        NPY_INOUT_FARRAY
+
+        NPY_UPDATE_ALL
+
+    enum:
+        # Added in NumPy 1.7 to replace the deprecated enums above.
+        NPY_ARRAY_C_CONTIGUOUS
+        NPY_ARRAY_F_CONTIGUOUS
+        NPY_ARRAY_OWNDATA
+        NPY_ARRAY_FORCECAST
+        NPY_ARRAY_ENSURECOPY
+        NPY_ARRAY_ENSUREARRAY
+        NPY_ARRAY_ELEMENTSTRIDES
+        NPY_ARRAY_ALIGNED
+        NPY_ARRAY_NOTSWAPPED
+        NPY_ARRAY_WRITEABLE
+        NPY_ARRAY_WRITEBACKIFCOPY
+
+        NPY_ARRAY_BEHAVED
+        NPY_ARRAY_BEHAVED_NS
+        NPY_ARRAY_CARRAY
+        NPY_ARRAY_CARRAY_RO
+        NPY_ARRAY_FARRAY
+        NPY_ARRAY_FARRAY_RO
+        NPY_ARRAY_DEFAULT
+
+        NPY_ARRAY_IN_ARRAY
+        NPY_ARRAY_OUT_ARRAY
+        NPY_ARRAY_INOUT_ARRAY
+        NPY_ARRAY_IN_FARRAY
+        NPY_ARRAY_OUT_FARRAY
+        NPY_ARRAY_INOUT_FARRAY
+
+        NPY_ARRAY_UPDATE_ALL
+
+    cdef enum:
+        NPY_MAXDIMS
+
+    npy_intp NPY_MAX_ELSIZE
+
+    ctypedef void (*PyArray_VectorUnaryFunc)(void *, void *, npy_intp, void *,  void *)
+
+    ctypedef struct PyArray_ArrayDescr:
+        # shape is a tuple, but Cython doesn't support "tuple shape"
+        # inside a non-PyObject declaration, so we have to declare it
+        # as just a PyObject*.
+        PyObject* shape
+
+    ctypedef struct PyArray_Descr:
+        pass
+
+    ctypedef class numpy.dtype [object PyArray_Descr, check_size ignore]:
+        # Use PyDataType_* macros when possible, however there are no macros
+        # for accessing some of the fields, so some are defined.
+        cdef PyTypeObject* typeobj
+        cdef char kind
+        cdef char type
+        # Numpy sometimes mutates this without warning (e.g. it'll
+        # sometimes change "|" to "<" in shared dtype objects on
+        # little-endian machines). If this matters to you, use
+        # PyArray_IsNativeByteOrder(dtype.byteorder) instead of
+        # directly accessing this field.
+        cdef char byteorder
+        cdef char flags
+        cdef int type_num
+        cdef int itemsize "elsize"
+        cdef int alignment
+        cdef object fields
+        cdef tuple names
+        # Use PyDataType_HASSUBARRAY to test whether this field is
+        # valid (the pointer can be NULL). Most users should access
+        # this field via the inline helper method PyDataType_SHAPE.
+        cdef PyArray_ArrayDescr* subarray
+
+    ctypedef class numpy.flatiter [object PyArrayIterObject, check_size ignore]:
+        # Use through macros
+        pass
+
+    ctypedef class numpy.broadcast [object PyArrayMultiIterObject, check_size ignore]:
+        cdef int numiter
+        cdef npy_intp size, index
+        cdef int nd
+        cdef npy_intp *dimensions
+        cdef void **iters
+
+    ctypedef struct PyArrayObject:
+        # For use in situations where ndarray can't replace PyArrayObject*,
+        # like PyArrayObject**.
+        pass
+
+    ctypedef class numpy.ndarray [object PyArrayObject, check_size ignore]:
+        cdef __cythonbufferdefaults__ = {"mode": "strided"}
+
+        cdef:
+            # Only taking a few of the most commonly used and stable fields.
+            # One should use PyArray_* macros instead to access the C fields.
+            char *data
+            int ndim "nd"
+            npy_intp *shape "dimensions"
+            npy_intp *strides
+            dtype descr  # deprecated since NumPy 1.7 !
+            PyObject* base #  NOT PUBLIC, DO NOT USE !
+
+
+
+    ctypedef unsigned char      npy_bool
+
+    ctypedef signed char      npy_byte
+    ctypedef signed short     npy_short
+    ctypedef signed int       npy_int
+    ctypedef signed long      npy_long
+    ctypedef signed long long npy_longlong
+
+    ctypedef unsigned char      npy_ubyte
+    ctypedef unsigned short     npy_ushort
+    ctypedef unsigned int       npy_uint
+    ctypedef unsigned long      npy_ulong
+    ctypedef unsigned long long npy_ulonglong
+
+    ctypedef float        npy_float
+    ctypedef double       npy_double
+    ctypedef long double  npy_longdouble
+
+    ctypedef signed char        npy_int8
+    ctypedef signed short       npy_int16
+    ctypedef signed int         npy_int32
+    ctypedef signed long long   npy_int64
+    ctypedef signed long long   npy_int96
+    ctypedef signed long long   npy_int128
+
+    ctypedef unsigned char      npy_uint8
+    ctypedef unsigned short     npy_uint16
+    ctypedef unsigned int       npy_uint32
+    ctypedef unsigned long long npy_uint64
+    ctypedef unsigned long long npy_uint96
+    ctypedef unsigned long long npy_uint128
+
+    ctypedef float        npy_float32
+    ctypedef double       npy_float64
+    ctypedef long double  npy_float80
+    ctypedef long double  npy_float96
+    ctypedef long double  npy_float128
+
+    ctypedef struct npy_cfloat:
+        float real
+        float imag
+
+    ctypedef struct npy_cdouble:
+        double real
+        double imag
+
+    ctypedef struct npy_clongdouble:
+        long double real
+        long double imag
+
+    ctypedef struct npy_complex64:
+        float real
+        float imag
+
+    ctypedef struct npy_complex128:
+        double real
+        double imag
+
+    ctypedef struct npy_complex160:
+        long double real
+        long double imag
+
+    ctypedef struct npy_complex192:
+        long double real
+        long double imag
+
+    ctypedef struct npy_complex256:
+        long double real
+        long double imag
+
+    ctypedef struct PyArray_Dims:
+        npy_intp *ptr
+        int len
+
+    int _import_array() except -1
+    # A second definition so _import_array isn't marked as used when we use it here.
+    # Do not use - subject to change any time.
+    int __pyx_import_array "_import_array"() except -1
+
+    #
+    # Macros from ndarrayobject.h
+    #
+    bint PyArray_CHKFLAGS(ndarray m, int flags) nogil
+    bint PyArray_IS_C_CONTIGUOUS(ndarray arr) nogil
+    bint PyArray_IS_F_CONTIGUOUS(ndarray arr) nogil
+    bint PyArray_ISCONTIGUOUS(ndarray m) nogil
+    bint PyArray_ISWRITEABLE(ndarray m) nogil
+    bint PyArray_ISALIGNED(ndarray m) nogil
+
+    int PyArray_NDIM(ndarray) nogil
+    bint PyArray_ISONESEGMENT(ndarray) nogil
+    bint PyArray_ISFORTRAN(ndarray) nogil
+    int PyArray_FORTRANIF(ndarray) nogil
+
+    void* PyArray_DATA(ndarray) nogil
+    char* PyArray_BYTES(ndarray) nogil
+
+    npy_intp* PyArray_DIMS(ndarray) nogil
+    npy_intp* PyArray_STRIDES(ndarray) nogil
+    npy_intp PyArray_DIM(ndarray, size_t) nogil
+    npy_intp PyArray_STRIDE(ndarray, size_t) nogil
+
+    PyObject *PyArray_BASE(ndarray) nogil  # returns borrowed reference!
+    PyArray_Descr *PyArray_DESCR(ndarray) nogil  # returns borrowed reference to dtype!
+    int PyArray_FLAGS(ndarray) nogil
+    npy_intp PyArray_ITEMSIZE(ndarray) nogil
+    int PyArray_TYPE(ndarray arr) nogil
+
+    object PyArray_GETITEM(ndarray arr, void *itemptr)
+    int PyArray_SETITEM(ndarray arr, void *itemptr, object obj) except -1
+
+    bint PyTypeNum_ISBOOL(int) nogil
+    bint PyTypeNum_ISUNSIGNED(int) nogil
+    bint PyTypeNum_ISSIGNED(int) nogil
+    bint PyTypeNum_ISINTEGER(int) nogil
+    bint PyTypeNum_ISFLOAT(int) nogil
+    bint PyTypeNum_ISNUMBER(int) nogil
+    bint PyTypeNum_ISSTRING(int) nogil
+    bint PyTypeNum_ISCOMPLEX(int) nogil
+    bint PyTypeNum_ISPYTHON(int) nogil
+    bint PyTypeNum_ISFLEXIBLE(int) nogil
+    bint PyTypeNum_ISUSERDEF(int) nogil
+    bint PyTypeNum_ISEXTENDED(int) nogil
+    bint PyTypeNum_ISOBJECT(int) nogil
+
+    bint PyDataType_ISBOOL(dtype) nogil
+    bint PyDataType_ISUNSIGNED(dtype) nogil
+    bint PyDataType_ISSIGNED(dtype) nogil
+    bint PyDataType_ISINTEGER(dtype) nogil
+    bint PyDataType_ISFLOAT(dtype) nogil
+    bint PyDataType_ISNUMBER(dtype) nogil
+    bint PyDataType_ISSTRING(dtype) nogil
+    bint PyDataType_ISCOMPLEX(dtype) nogil
+    bint PyDataType_ISPYTHON(dtype) nogil
+    bint PyDataType_ISFLEXIBLE(dtype) nogil
+    bint PyDataType_ISUSERDEF(dtype) nogil
+    bint PyDataType_ISEXTENDED(dtype) nogil
+    bint PyDataType_ISOBJECT(dtype) nogil
+    bint PyDataType_HASFIELDS(dtype) nogil
+    bint PyDataType_HASSUBARRAY(dtype) nogil
+
+    bint PyArray_ISBOOL(ndarray) nogil
+    bint PyArray_ISUNSIGNED(ndarray) nogil
+    bint PyArray_ISSIGNED(ndarray) nogil
+    bint PyArray_ISINTEGER(ndarray) nogil
+    bint PyArray_ISFLOAT(ndarray) nogil
+    bint PyArray_ISNUMBER(ndarray) nogil
+    bint PyArray_ISSTRING(ndarray) nogil
+    bint PyArray_ISCOMPLEX(ndarray) nogil
+    bint PyArray_ISPYTHON(ndarray) nogil
+    bint PyArray_ISFLEXIBLE(ndarray) nogil
+    bint PyArray_ISUSERDEF(ndarray) nogil
+    bint PyArray_ISEXTENDED(ndarray) nogil
+    bint PyArray_ISOBJECT(ndarray) nogil
+    bint PyArray_HASFIELDS(ndarray) nogil
+
+    bint PyArray_ISVARIABLE(ndarray) nogil
+
+    bint PyArray_SAFEALIGNEDCOPY(ndarray) nogil
+    bint PyArray_ISNBO(char) nogil              # works on ndarray.byteorder
+    bint PyArray_IsNativeByteOrder(char) nogil # works on ndarray.byteorder
+    bint PyArray_ISNOTSWAPPED(ndarray) nogil
+    bint PyArray_ISBYTESWAPPED(ndarray) nogil
+
+    bint PyArray_FLAGSWAP(ndarray, int) nogil
+
+    bint PyArray_ISCARRAY(ndarray) nogil
+    bint PyArray_ISCARRAY_RO(ndarray) nogil
+    bint PyArray_ISFARRAY(ndarray) nogil
+    bint PyArray_ISFARRAY_RO(ndarray) nogil
+    bint PyArray_ISBEHAVED(ndarray) nogil
+    bint PyArray_ISBEHAVED_RO(ndarray) nogil
+
+
+    bint PyDataType_ISNOTSWAPPED(dtype) nogil
+    bint PyDataType_ISBYTESWAPPED(dtype) nogil
+
+    bint PyArray_DescrCheck(object)
+
+    bint PyArray_Check(object)
+    bint PyArray_CheckExact(object)
+
+    # Cannot be supported due to out arg:
+    # bint PyArray_HasArrayInterfaceType(object, dtype, object, object&)
+    # bint PyArray_HasArrayInterface(op, out)
+
+
+    bint PyArray_IsZeroDim(object)
+    # Cannot be supported due to ## ## in macro:
+    # bint PyArray_IsScalar(object, verbatim work)
+    bint PyArray_CheckScalar(object)
+    bint PyArray_IsPythonNumber(object)
+    bint PyArray_IsPythonScalar(object)
+    bint PyArray_IsAnyScalar(object)
+    bint PyArray_CheckAnyScalar(object)
+
+    ndarray PyArray_GETCONTIGUOUS(ndarray)
+    bint PyArray_SAMESHAPE(ndarray, ndarray) nogil
+    npy_intp PyArray_SIZE(ndarray) nogil
+    npy_intp PyArray_NBYTES(ndarray) nogil
+
+    object PyArray_FROM_O(object)
+    object PyArray_FROM_OF(object m, int flags)
+    object PyArray_FROM_OT(object m, int type)
+    object PyArray_FROM_OTF(object m, int type, int flags)
+    object PyArray_FROMANY(object m, int type, int min, int max, int flags)
+    object PyArray_ZEROS(int nd, npy_intp* dims, int type, int fortran)
+    object PyArray_EMPTY(int nd, npy_intp* dims, int type, int fortran)
+    void PyArray_FILLWBYTE(object, int val)
+    npy_intp PyArray_REFCOUNT(object)
+    object PyArray_ContiguousFromAny(op, int, int min_depth, int max_depth)
+    unsigned char PyArray_EquivArrTypes(ndarray a1, ndarray a2)
+    bint PyArray_EquivByteorders(int b1, int b2) nogil
+    object PyArray_SimpleNew(int nd, npy_intp* dims, int typenum)
+    object PyArray_SimpleNewFromData(int nd, npy_intp* dims, int typenum, void* data)
+    #object PyArray_SimpleNewFromDescr(int nd, npy_intp* dims, dtype descr)
+    object PyArray_ToScalar(void* data, ndarray arr)
+
+    void* PyArray_GETPTR1(ndarray m, npy_intp i) nogil
+    void* PyArray_GETPTR2(ndarray m, npy_intp i, npy_intp j) nogil
+    void* PyArray_GETPTR3(ndarray m, npy_intp i, npy_intp j, npy_intp k) nogil
+    void* PyArray_GETPTR4(ndarray m, npy_intp i, npy_intp j, npy_intp k, npy_intp l) nogil
+
+    # Cannot be supported due to out arg
+    # void PyArray_DESCR_REPLACE(descr)
+
+
+    object PyArray_Copy(ndarray)
+    object PyArray_FromObject(object op, int type, int min_depth, int max_depth)
+    object PyArray_ContiguousFromObject(object op, int type, int min_depth, int max_depth)
+    object PyArray_CopyFromObject(object op, int type, int min_depth, int max_depth)
+
+    object PyArray_Cast(ndarray mp, int type_num)
+    object PyArray_Take(ndarray ap, object items, int axis)
+    object PyArray_Put(ndarray ap, object items, object values)
+
+    void PyArray_ITER_RESET(flatiter it) nogil
+    void PyArray_ITER_NEXT(flatiter it) nogil
+    void PyArray_ITER_GOTO(flatiter it, npy_intp* destination) nogil
+    void PyArray_ITER_GOTO1D(flatiter it, npy_intp ind) nogil
+    void* PyArray_ITER_DATA(flatiter it) nogil
+    bint PyArray_ITER_NOTDONE(flatiter it) nogil
+
+    void PyArray_MultiIter_RESET(broadcast multi) nogil
+    void PyArray_MultiIter_NEXT(broadcast multi) nogil
+    void PyArray_MultiIter_GOTO(broadcast multi, npy_intp dest) nogil
+    void PyArray_MultiIter_GOTO1D(broadcast multi, npy_intp ind) nogil
+    void* PyArray_MultiIter_DATA(broadcast multi, npy_intp i) nogil
+    void PyArray_MultiIter_NEXTi(broadcast multi, npy_intp i) nogil
+    bint PyArray_MultiIter_NOTDONE(broadcast multi) nogil
+
+    # Functions from __multiarray_api.h
+
+    # Functions taking dtype and returning object/ndarray are disabled
+    # for now as they steal dtype references. I'm conservative and disable
+    # more than is probably needed until it can be checked further.
+    int PyArray_SetNumericOps (object) except -1
+    object PyArray_GetNumericOps ()
+    int PyArray_INCREF (ndarray) except *  # uses PyArray_Item_INCREF...
+    int PyArray_XDECREF (ndarray) except *  # uses PyArray_Item_DECREF...
+    void PyArray_SetStringFunction (object, int)
+    dtype PyArray_DescrFromType (int)
+    object PyArray_TypeObjectFromType (int)
+    char * PyArray_Zero (ndarray)
+    char * PyArray_One (ndarray)
+    #object PyArray_CastToType (ndarray, dtype, int)
+    int PyArray_CastTo (ndarray, ndarray) except -1
+    int PyArray_CastAnyTo (ndarray, ndarray) except -1
+    int PyArray_CanCastSafely (int, int)  # writes errors
+    npy_bool PyArray_CanCastTo (dtype, dtype)  # writes errors
+    int PyArray_ObjectType (object, int) except 0
+    dtype PyArray_DescrFromObject (object, dtype)
+    #ndarray* PyArray_ConvertToCommonType (object, int *)
+    dtype PyArray_DescrFromScalar (object)
+    dtype PyArray_DescrFromTypeObject (object)
+    npy_intp PyArray_Size (object)
+    #object PyArray_Scalar (void *, dtype, object)
+    #object PyArray_FromScalar (object, dtype)
+    void PyArray_ScalarAsCtype (object, void *)
+    #int PyArray_CastScalarToCtype (object, void *, dtype)
+    #int PyArray_CastScalarDirect (object, dtype, void *, int)
+    object PyArray_ScalarFromObject (object)
+    #PyArray_VectorUnaryFunc * PyArray_GetCastFunc (dtype, int)
+    object PyArray_FromDims (int, int *, int)
+    #object PyArray_FromDimsAndDataAndDescr (int, int *, dtype, char *)
+    #object PyArray_FromAny (object, dtype, int, int, int, object)
+    object PyArray_EnsureArray (object)
+    object PyArray_EnsureAnyArray (object)
+    #object PyArray_FromFile (stdio.FILE *, dtype, npy_intp, char *)
+    #object PyArray_FromString (char *, npy_intp, dtype, npy_intp, char *)
+    #object PyArray_FromBuffer (object, dtype, npy_intp, npy_intp)
+    #object PyArray_FromIter (object, dtype, npy_intp)
+    object PyArray_Return (ndarray)
+    #object PyArray_GetField (ndarray, dtype, int)
+    #int PyArray_SetField (ndarray, dtype, int, object) except -1
+    object PyArray_Byteswap (ndarray, npy_bool)
+    object PyArray_Resize (ndarray, PyArray_Dims *, int, NPY_ORDER)
+    int PyArray_MoveInto (ndarray, ndarray) except -1
+    int PyArray_CopyInto (ndarray, ndarray) except -1
+    int PyArray_CopyAnyInto (ndarray, ndarray) except -1
+    int PyArray_CopyObject (ndarray, object) except -1
+    object PyArray_NewCopy (ndarray, NPY_ORDER)
+    object PyArray_ToList (ndarray)
+    object PyArray_ToString (ndarray, NPY_ORDER)
+    int PyArray_ToFile (ndarray, stdio.FILE *, char *, char *) except -1
+    int PyArray_Dump (object, object, int) except -1
+    object PyArray_Dumps (object, int)
+    int PyArray_ValidType (int)  # Cannot error
+    void PyArray_UpdateFlags (ndarray, int)
+    object PyArray_New (type, int, npy_intp *, int, npy_intp *, void *, int, int, object)
+    #object PyArray_NewFromDescr (type, dtype, int, npy_intp *, npy_intp *, void *, int, object)
+    #dtype PyArray_DescrNew (dtype)
+    dtype PyArray_DescrNewFromType (int)
+    double PyArray_GetPriority (object, double)  # clears errors as of 1.25
+    object PyArray_IterNew (object)
+    object PyArray_MultiIterNew (int, ...)
+
+    int PyArray_PyIntAsInt (object) except? -1
+    npy_intp PyArray_PyIntAsIntp (object)
+    int PyArray_Broadcast (broadcast) except -1
+    void PyArray_FillObjectArray (ndarray, object) except *
+    int PyArray_FillWithScalar (ndarray, object) except -1
+    npy_bool PyArray_CheckStrides (int, int, npy_intp, npy_intp, npy_intp *, npy_intp *)
+    dtype PyArray_DescrNewByteorder (dtype, char)
+    object PyArray_IterAllButAxis (object, int *)
+    #object PyArray_CheckFromAny (object, dtype, int, int, int, object)
+    #object PyArray_FromArray (ndarray, dtype, int)
+    object PyArray_FromInterface (object)
+    object PyArray_FromStructInterface (object)
+    #object PyArray_FromArrayAttr (object, dtype, object)
+    #NPY_SCALARKIND PyArray_ScalarKind (int, ndarray*)
+    int PyArray_CanCoerceScalar (int, int, NPY_SCALARKIND)
+    object PyArray_NewFlagsObject (object)
+    npy_bool PyArray_CanCastScalar (type, type)
+    #int PyArray_CompareUCS4 (npy_ucs4 *, npy_ucs4 *, register size_t)
+    int PyArray_RemoveSmallest (broadcast) except -1
+    int PyArray_ElementStrides (object)
+    void PyArray_Item_INCREF (char *, dtype) except *
+    void PyArray_Item_XDECREF (char *, dtype) except *
+    object PyArray_FieldNames (object)
+    object PyArray_Transpose (ndarray, PyArray_Dims *)
+    object PyArray_TakeFrom (ndarray, object, int, ndarray, NPY_CLIPMODE)
+    object PyArray_PutTo (ndarray, object, object, NPY_CLIPMODE)
+    object PyArray_PutMask (ndarray, object, object)
+    object PyArray_Repeat (ndarray, object, int)
+    object PyArray_Choose (ndarray, object, ndarray, NPY_CLIPMODE)
+    int PyArray_Sort (ndarray, int, NPY_SORTKIND) except -1
+    object PyArray_ArgSort (ndarray, int, NPY_SORTKIND)
+    object PyArray_SearchSorted (ndarray, object, NPY_SEARCHSIDE, PyObject *)
+    object PyArray_ArgMax (ndarray, int, ndarray)
+    object PyArray_ArgMin (ndarray, int, ndarray)
+    object PyArray_Reshape (ndarray, object)
+    object PyArray_Newshape (ndarray, PyArray_Dims *, NPY_ORDER)
+    object PyArray_Squeeze (ndarray)
+    #object PyArray_View (ndarray, dtype, type)
+    object PyArray_SwapAxes (ndarray, int, int)
+    object PyArray_Max (ndarray, int, ndarray)
+    object PyArray_Min (ndarray, int, ndarray)
+    object PyArray_Ptp (ndarray, int, ndarray)
+    object PyArray_Mean (ndarray, int, int, ndarray)
+    object PyArray_Trace (ndarray, int, int, int, int, ndarray)
+    object PyArray_Diagonal (ndarray, int, int, int)
+    object PyArray_Clip (ndarray, object, object, ndarray)
+    object PyArray_Conjugate (ndarray, ndarray)
+    object PyArray_Nonzero (ndarray)
+    object PyArray_Std (ndarray, int, int, ndarray, int)
+    object PyArray_Sum (ndarray, int, int, ndarray)
+    object PyArray_CumSum (ndarray, int, int, ndarray)
+    object PyArray_Prod (ndarray, int, int, ndarray)
+    object PyArray_CumProd (ndarray, int, int, ndarray)
+    object PyArray_All (ndarray, int, ndarray)
+    object PyArray_Any (ndarray, int, ndarray)
+    object PyArray_Compress (ndarray, object, int, ndarray)
+    object PyArray_Flatten (ndarray, NPY_ORDER)
+    object PyArray_Ravel (ndarray, NPY_ORDER)
+    npy_intp PyArray_MultiplyList (npy_intp *, int)
+    int PyArray_MultiplyIntList (int *, int)
+    void * PyArray_GetPtr (ndarray, npy_intp*)
+    int PyArray_CompareLists (npy_intp *, npy_intp *, int)
+    #int PyArray_AsCArray (object*, void *, npy_intp *, int, dtype)
+    #int PyArray_As1D (object*, char **, int *, int)
+    #int PyArray_As2D (object*, char ***, int *, int *, int)
+    int PyArray_Free (object, void *)
+    #int PyArray_Converter (object, object*)
+    int PyArray_IntpFromSequence (object, npy_intp *, int) except -1
+    object PyArray_Concatenate (object, int)
+    object PyArray_InnerProduct (object, object)
+    object PyArray_MatrixProduct (object, object)
+    object PyArray_CopyAndTranspose (object)
+    object PyArray_Correlate (object, object, int)
+    int PyArray_TypestrConvert (int, int)
+    #int PyArray_DescrConverter (object, dtype*) except 0
+    #int PyArray_DescrConverter2 (object, dtype*) except 0
+    int PyArray_IntpConverter (object, PyArray_Dims *) except 0
+    #int PyArray_BufferConverter (object, chunk) except 0
+    int PyArray_AxisConverter (object, int *) except 0
+    int PyArray_BoolConverter (object, npy_bool *) except 0
+    int PyArray_ByteorderConverter (object, char *) except 0
+    int PyArray_OrderConverter (object, NPY_ORDER *) except 0
+    unsigned char PyArray_EquivTypes (dtype, dtype)  # clears errors
+    #object PyArray_Zeros (int, npy_intp *, dtype, int)
+    #object PyArray_Empty (int, npy_intp *, dtype, int)
+    object PyArray_Where (object, object, object)
+    object PyArray_Arange (double, double, double, int)
+    #object PyArray_ArangeObj (object, object, object, dtype)
+    int PyArray_SortkindConverter (object, NPY_SORTKIND *) except 0
+    object PyArray_LexSort (object, int)
+    object PyArray_Round (ndarray, int, ndarray)
+    unsigned char PyArray_EquivTypenums (int, int)
+    int PyArray_RegisterDataType (dtype) except -1
+    int PyArray_RegisterCastFunc (dtype, int, PyArray_VectorUnaryFunc *) except -1
+    int PyArray_RegisterCanCast (dtype, int, NPY_SCALARKIND) except -1
+    #void PyArray_InitArrFuncs (PyArray_ArrFuncs *)
+    object PyArray_IntTupleFromIntp (int, npy_intp *)
+    int PyArray_TypeNumFromName (char *)
+    int PyArray_ClipmodeConverter (object, NPY_CLIPMODE *) except 0
+    #int PyArray_OutputConverter (object, ndarray*) except 0
+    object PyArray_BroadcastToShape (object, npy_intp *, int)
+    void _PyArray_SigintHandler (int)
+    void* _PyArray_GetSigintBuf ()
+    #int PyArray_DescrAlignConverter (object, dtype*) except 0
+    #int PyArray_DescrAlignConverter2 (object, dtype*) except 0
+    int PyArray_SearchsideConverter (object, void *) except 0
+    object PyArray_CheckAxis (ndarray, int *, int)
+    npy_intp PyArray_OverflowMultiplyList (npy_intp *, int)
+    int PyArray_CompareString (char *, char *, size_t)
+    int PyArray_SetBaseObject(ndarray, base) except -1 # NOTE: steals a reference to base! Use "set_array_base()" instead.
+
+
+# Typedefs that matches the runtime dtype objects in
+# the numpy module.
+
+# The ones that are commented out needs an IFDEF function
+# in Cython to enable them only on the right systems.
+
+ctypedef npy_int8       int8_t
+ctypedef npy_int16      int16_t
+ctypedef npy_int32      int32_t
+ctypedef npy_int64      int64_t
+#ctypedef npy_int96      int96_t
+#ctypedef npy_int128     int128_t
+
+ctypedef npy_uint8      uint8_t
+ctypedef npy_uint16     uint16_t
+ctypedef npy_uint32     uint32_t
+ctypedef npy_uint64     uint64_t
+#ctypedef npy_uint96     uint96_t
+#ctypedef npy_uint128    uint128_t
+
+ctypedef npy_float32    float32_t
+ctypedef npy_float64    float64_t
+#ctypedef npy_float80    float80_t
+#ctypedef npy_float128   float128_t
+
+ctypedef float complex  complex64_t
+ctypedef double complex complex128_t
+
+# The int types are mapped a bit surprising --
+# numpy.int corresponds to 'l' and numpy.long to 'q'
+ctypedef npy_long       int_t
+ctypedef npy_longlong   longlong_t
+
+ctypedef npy_ulong      uint_t
+ctypedef npy_ulonglong  ulonglong_t
+
+ctypedef npy_intp       intp_t
+ctypedef npy_uintp      uintp_t
+
+ctypedef npy_double     float_t
+ctypedef npy_double     double_t
+ctypedef npy_longdouble longdouble_t
+
+ctypedef npy_cfloat      cfloat_t
+ctypedef npy_cdouble     cdouble_t
+ctypedef npy_clongdouble clongdouble_t
+
+ctypedef npy_cdouble     complex_t
+
+cdef inline object PyArray_MultiIterNew1(a):
+    return PyArray_MultiIterNew(1, <void*>a)
+
+cdef inline object PyArray_MultiIterNew2(a, b):
+    return PyArray_MultiIterNew(2, <void*>a, <void*>b)
+
+cdef inline object PyArray_MultiIterNew3(a, b, c):
+    return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
+
+cdef inline object PyArray_MultiIterNew4(a, b, c, d):
+    return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
+
+cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):
+    return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
+
+cdef inline tuple PyDataType_SHAPE(dtype d):
+    if PyDataType_HASSUBARRAY(d):
+        return <tuple>d.subarray.shape
+    else:
+        return ()
+
+
+cdef extern from "numpy/ndarrayobject.h":
+    PyTypeObject PyTimedeltaArrType_Type
+    PyTypeObject PyDatetimeArrType_Type
+    ctypedef int64_t npy_timedelta
+    ctypedef int64_t npy_datetime
+
+cdef extern from "numpy/ndarraytypes.h":
+    ctypedef struct PyArray_DatetimeMetaData:
+        NPY_DATETIMEUNIT base
+        int64_t num
+
+cdef extern from "numpy/arrayscalars.h":
+
+    # abstract types
+    ctypedef class numpy.generic [object PyObject]:
+        pass
+    ctypedef class numpy.number [object PyObject]:
+        pass
+    ctypedef class numpy.integer [object PyObject]:
+        pass
+    ctypedef class numpy.signedinteger [object PyObject]:
+        pass
+    ctypedef class numpy.unsignedinteger [object PyObject]:
+        pass
+    ctypedef class numpy.inexact [object PyObject]:
+        pass
+    ctypedef class numpy.floating [object PyObject]:
+        pass
+    ctypedef class numpy.complexfloating [object PyObject]:
+        pass
+    ctypedef class numpy.flexible [object PyObject]:
+        pass
+    ctypedef class numpy.character [object PyObject]:
+        pass
+
+    ctypedef struct PyDatetimeScalarObject:
+        # PyObject_HEAD
+        npy_datetime obval
+        PyArray_DatetimeMetaData obmeta
+
+    ctypedef struct PyTimedeltaScalarObject:
+        # PyObject_HEAD
+        npy_timedelta obval
+        PyArray_DatetimeMetaData obmeta
+
+    ctypedef enum NPY_DATETIMEUNIT:
+        NPY_FR_Y
+        NPY_FR_M
+        NPY_FR_W
+        NPY_FR_D
+        NPY_FR_B
+        NPY_FR_h
+        NPY_FR_m
+        NPY_FR_s
+        NPY_FR_ms
+        NPY_FR_us
+        NPY_FR_ns
+        NPY_FR_ps
+        NPY_FR_fs
+        NPY_FR_as
+
+
+#
+# ufunc API
+#
+
+cdef extern from "numpy/ufuncobject.h":
+
+    ctypedef void (*PyUFuncGenericFunction) (char **, npy_intp *, npy_intp *, void *)
+
+    ctypedef class numpy.ufunc [object PyUFuncObject, check_size ignore]:
+        cdef:
+            int nin, nout, nargs
+            int identity
+            PyUFuncGenericFunction *functions
+            void **data
+            int ntypes
+            int check_return
+            char *name
+            char *types
+            char *doc
+            void *ptr
+            PyObject *obj
+            PyObject *userloops
+
+    cdef enum:
+        PyUFunc_Zero
+        PyUFunc_One
+        PyUFunc_None
+        UFUNC_ERR_IGNORE
+        UFUNC_ERR_WARN
+        UFUNC_ERR_RAISE
+        UFUNC_ERR_CALL
+        UFUNC_ERR_PRINT
+        UFUNC_ERR_LOG
+        UFUNC_MASK_DIVIDEBYZERO
+        UFUNC_MASK_OVERFLOW
+        UFUNC_MASK_UNDERFLOW
+        UFUNC_MASK_INVALID
+        UFUNC_SHIFT_DIVIDEBYZERO
+        UFUNC_SHIFT_OVERFLOW
+        UFUNC_SHIFT_UNDERFLOW
+        UFUNC_SHIFT_INVALID
+        UFUNC_FPE_DIVIDEBYZERO
+        UFUNC_FPE_OVERFLOW
+        UFUNC_FPE_UNDERFLOW
+        UFUNC_FPE_INVALID
+        UFUNC_ERR_DEFAULT
+        UFUNC_ERR_DEFAULT2
+
+    object PyUFunc_FromFuncAndData(PyUFuncGenericFunction *,
+          void **, char *, int, int, int, int, char *, char *, int)
+    int PyUFunc_RegisterLoopForType(ufunc, int,
+                                    PyUFuncGenericFunction, int *, void *) except -1
+    void PyUFunc_f_f_As_d_d \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_d_d \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_f_f \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_g_g \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_F_F_As_D_D \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_F_F \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_D_D \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_G_G \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_O_O \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_ff_f_As_dd_d \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_ff_f \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_dd_d \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_gg_g \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_FF_F_As_DD_D \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_DD_D \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_FF_F \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_GG_G \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_OO_O \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_O_O_method \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_OO_O_method \
+         (char **, npy_intp *, npy_intp *, void *)
+    void PyUFunc_On_Om \
+         (char **, npy_intp *, npy_intp *, void *)
+    int PyUFunc_GetPyValues \
+        (char *, int *, int *, PyObject **)
+    int PyUFunc_checkfperr \
+           (int, PyObject *, int *)
+    void PyUFunc_clearfperr()
+    int PyUFunc_getfperr()
+    int PyUFunc_handlefperr \
+        (int, PyObject *, int, int *) except -1
+    int PyUFunc_ReplaceLoopBySignature \
+        (ufunc, PyUFuncGenericFunction, int *, PyUFuncGenericFunction *)
+    object PyUFunc_FromFuncAndDataAndSignature \
+             (PyUFuncGenericFunction *, void **, char *, int, int, int,
+              int, char *, char *, int, char *)
+
+    int _import_umath() except -1
+
+cdef inline void set_array_base(ndarray arr, object base):
+    Py_INCREF(base) # important to do this before stealing the reference below!
+    PyArray_SetBaseObject(arr, base)
+
+cdef inline object get_array_base(ndarray arr):
+    base = PyArray_BASE(arr)
+    if base is NULL:
+        return None
+    return <object>base
+
+# Versions of the import_* functions which are more suitable for
+# Cython code.
+cdef inline int import_array() except -1:
+    try:
+        __pyx_import_array()
+    except Exception:
+        raise ImportError("numpy.core.multiarray failed to import")
+
+cdef inline int import_umath() except -1:
+    try:
+        _import_umath()
+    except Exception:
+        raise ImportError("numpy.core.umath failed to import")
+
+cdef inline int import_ufunc() except -1:
+    try:
+        _import_umath()
+    except Exception:
+        raise ImportError("numpy.core.umath failed to import")
+
+cdef extern from *:
+    # Leave a marker that the NumPy declarations came from this file
+    # See https://github.com/cython/cython/issues/3573
+    """
+    /* NumPy API declarations from "numpy/__init__.pxd" */
+    """
+
+
+cdef inline bint is_timedelta64_object(object obj):
+    """
+    Cython equivalent of `isinstance(obj, np.timedelta64)`
+
+    Parameters
+    ----------
+    obj : object
+
+    Returns
+    -------
+    bool
+    """
+    return PyObject_TypeCheck(obj, &PyTimedeltaArrType_Type)
+
+
+cdef inline bint is_datetime64_object(object obj):
+    """
+    Cython equivalent of `isinstance(obj, np.datetime64)`
+
+    Parameters
+    ----------
+    obj : object
+
+    Returns
+    -------
+    bool
+    """
+    return PyObject_TypeCheck(obj, &PyDatetimeArrType_Type)
+
+
+cdef inline npy_datetime get_datetime64_value(object obj) nogil:
+    """
+    returns the int64 value underlying scalar numpy datetime64 object
+
+    Note that to interpret this as a datetime, the corresponding unit is
+    also needed.  That can be found using `get_datetime64_unit`.
+    """
+    return (<PyDatetimeScalarObject*>obj).obval
+
+
+cdef inline npy_timedelta get_timedelta64_value(object obj) nogil:
+    """
+    returns the int64 value underlying scalar numpy timedelta64 object
+    """
+    return (<PyTimedeltaScalarObject*>obj).obval
+
+
+cdef inline NPY_DATETIMEUNIT get_datetime64_unit(object obj) nogil:
+    """
+    returns the unit part of the dtype for a numpy datetime64 object.
+    """
+    return <NPY_DATETIMEUNIT>(<PyDatetimeScalarObject*>obj).obmeta.base

.venv/lib/python3.11/site-packages/numpy/_pytesttester.py

@@ -0,0 +1,207 @@
+"""
+Pytest test running.
+
+This module implements the ``test()`` function for NumPy modules. The usual
+boiler plate for doing that is to put the following in the module
+``__init__.py`` file::
+
+    from numpy._pytesttester import PytestTester
+    test = PytestTester(__name__)
+    del PytestTester
+
+
+Warnings filtering and other runtime settings should be dealt with in the
+``pytest.ini`` file in the numpy repo root. The behavior of the test depends on
+whether or not that file is found as follows:
+
+* ``pytest.ini`` is present (develop mode)
+    All warnings except those explicitly filtered out are raised as error.
+* ``pytest.ini`` is absent (release mode)
+    DeprecationWarnings and PendingDeprecationWarnings are ignored, other
+    warnings are passed through.
+
+In practice, tests run from the numpy repo are run in develop mode. That
+includes the standard ``python runtests.py`` invocation.
+
+This module is imported by every numpy subpackage, so lies at the top level to
+simplify circular import issues. For the same reason, it contains no numpy
+imports at module scope, instead importing numpy within function calls.
+"""
+import sys
+import os
+
+__all__ = ['PytestTester']
+
+
+def _show_numpy_info():
+    import numpy as np
+
+    print("NumPy version %s" % np.__version__)
+    relaxed_strides = np.ones((10, 1), order="C").flags.f_contiguous
+    print("NumPy relaxed strides checking option:", relaxed_strides)
+    info = np.lib.utils._opt_info()
+    print("NumPy CPU features: ", (info if info else 'nothing enabled'))
+
+
+class PytestTester:
+    """
+    Pytest test runner.
+
+    A test function is typically added to a package's __init__.py like so::
+
+      from numpy._pytesttester import PytestTester
+      test = PytestTester(__name__).test
+      del PytestTester
+
+    Calling this test function finds and runs all tests associated with the
+    module and all its sub-modules.
+
+    Attributes
+    ----------
+    module_name : str
+        Full path to the package to test.
+
+    Parameters
+    ----------
+    module_name : module name
+        The name of the module to test.
+
+    Notes
+    -----
+    Unlike the previous ``nose``-based implementation, this class is not
+    publicly exposed as it performs some ``numpy``-specific warning
+    suppression.
+
+    """
+    def __init__(self, module_name):
+        self.module_name = module_name
+
+    def __call__(self, label='fast', verbose=1, extra_argv=None,
+                 doctests=False, coverage=False, durations=-1, tests=None):
+        """
+        Run tests for module using pytest.
+
+        Parameters
+        ----------
+        label : {'fast', 'full'}, optional
+            Identifies the tests to run. When set to 'fast', tests decorated
+            with `pytest.mark.slow` are skipped, when 'full', the slow marker
+            is ignored.
+        verbose : int, optional
+            Verbosity value for test outputs, in the range 1-3. Default is 1.
+        extra_argv : list, optional
+            List with any extra arguments to pass to pytests.
+        doctests : bool, optional
+            .. note:: Not supported
+        coverage : bool, optional
+            If True, report coverage of NumPy code. Default is False.
+            Requires installation of (pip) pytest-cov.
+        durations : int, optional
+            If < 0, do nothing, If 0, report time of all tests, if > 0,
+            report the time of the slowest `timer` tests. Default is -1.
+        tests : test or list of tests
+            Tests to be executed with pytest '--pyargs'
+
+        Returns
+        -------
+        result : bool
+            Return True on success, false otherwise.
+
+        Notes
+        -----
+        Each NumPy module exposes `test` in its namespace to run all tests for
+        it. For example, to run all tests for numpy.lib:
+
+        >>> np.lib.test() #doctest: +SKIP
+
+        Examples
+        --------
+        >>> result = np.lib.test() #doctest: +SKIP
+        ...
+        1023 passed, 2 skipped, 6 deselected, 1 xfailed in 10.39 seconds
+        >>> result
+        True
+
+        """
+        import pytest
+        import warnings
+
+        module = sys.modules[self.module_name]
+        module_path = os.path.abspath(module.__path__[0])
+
+        # setup the pytest arguments
+        pytest_args = ["-l"]
+
+        # offset verbosity. The "-q" cancels a "-v".
+        pytest_args += ["-q"]
+
+        if sys.version_info < (3, 12):
+            with warnings.catch_warnings():
+                warnings.simplefilter("always")
+                # Filter out distutils cpu warnings (could be localized to
+                # distutils tests). ASV has problems with top level import,
+                # so fetch module for suppression here.
+                from numpy.distutils import cpuinfo
+
+        with warnings.catch_warnings(record=True):
+            # Ignore the warning from importing the array_api submodule. This
+            # warning is done on import, so it would break pytest collection,
+            # but importing it early here prevents the warning from being
+            # issued when it imported again.
+            import numpy.array_api
+
+        # Filter out annoying import messages. Want these in both develop and
+        # release mode.
+        pytest_args += [
+            "-W ignore:Not importing directory",
+            "-W ignore:numpy.dtype size changed",
+            "-W ignore:numpy.ufunc size changed",
+            "-W ignore::UserWarning:cpuinfo",
+            ]
+
+        # When testing matrices, ignore their PendingDeprecationWarnings
+        pytest_args += [
+            "-W ignore:the matrix subclass is not",
+            "-W ignore:Importing from numpy.matlib is",
+            ]
+
+        if doctests:
+            pytest_args += ["--doctest-modules"]
+
+        if extra_argv:
+            pytest_args += list(extra_argv)
+
+        if verbose > 1:
+            pytest_args += ["-" + "v"*(verbose - 1)]
+
+        if coverage:
+            pytest_args += ["--cov=" + module_path]
+
+        if label == "fast":
+            # not importing at the top level to avoid circular import of module
+            from numpy.testing import IS_PYPY
+            if IS_PYPY:
+                pytest_args += ["-m", "not slow and not slow_pypy"]
+            else:
+                pytest_args += ["-m", "not slow"]
+
+        elif label != "full":
+            pytest_args += ["-m", label]
+
+        if durations >= 0:
+            pytest_args += ["--durations=%s" % durations]
+
+        if tests is None:
+            tests = [self.module_name]
+
+        pytest_args += ["--pyargs"] + list(tests)
+
+        # run tests.
+        _show_numpy_info()
+
+        try:
+            code = pytest.main(pytest_args)
+        except SystemExit as exc:
+            code = exc.code
+
+        return code == 0

.venv/lib/python3.11/site-packages/numpy/ctypeslib.pyi

@@ -0,0 +1,251 @@
+# NOTE: Numpy's mypy plugin is used for importing the correct
+# platform-specific `ctypes._SimpleCData[int]` sub-type
+from ctypes import c_int64 as _c_intp
+
+import os
+import sys
+import ctypes
+from collections.abc import Iterable, Sequence
+from typing import (
+    Literal as L,
+    Any,
+    Union,
+    TypeVar,
+    Generic,
+    overload,
+    ClassVar,
+)
+
+from numpy import (
+    ndarray,
+    dtype,
+    generic,
+    bool_,
+    byte,
+    short,
+    intc,
+    int_,
+    longlong,
+    ubyte,
+    ushort,
+    uintc,
+    uint,
+    ulonglong,
+    single,
+    double,
+    longdouble,
+    void,
+)
+from numpy.core._internal import _ctypes
+from numpy.core.multiarray import flagsobj
+from numpy._typing import (
+    # Arrays
+    NDArray,
+    _ArrayLike,
+
+    # Shapes
+    _ShapeLike,
+
+    # DTypes
+    DTypeLike,
+    _DTypeLike,
+    _VoidDTypeLike,
+    _BoolCodes,
+    _UByteCodes,
+    _UShortCodes,
+    _UIntCCodes,
+    _UIntCodes,
+    _ULongLongCodes,
+    _ByteCodes,
+    _ShortCodes,
+    _IntCCodes,
+    _IntCodes,
+    _LongLongCodes,
+    _SingleCodes,
+    _DoubleCodes,
+    _LongDoubleCodes,
+)
+
+# TODO: Add a proper `_Shape` bound once we've got variadic typevars
+_DType = TypeVar("_DType", bound=dtype[Any])
+_DTypeOptional = TypeVar("_DTypeOptional", bound=None | dtype[Any])
+_SCT = TypeVar("_SCT", bound=generic)
+
+_FlagsKind = L[
+    'C_CONTIGUOUS', 'CONTIGUOUS', 'C',
+    'F_CONTIGUOUS', 'FORTRAN', 'F',
+    'ALIGNED', 'A',
+    'WRITEABLE', 'W',
+    'OWNDATA', 'O',
+    'WRITEBACKIFCOPY', 'X',
+]
+
+# TODO: Add a shape typevar once we have variadic typevars (PEP 646)
+class _ndptr(ctypes.c_void_p, Generic[_DTypeOptional]):
+    # In practice these 4 classvars are defined in the dynamic class
+    # returned by `ndpointer`
+    _dtype_: ClassVar[_DTypeOptional]
+    _shape_: ClassVar[None]
+    _ndim_: ClassVar[None | int]
+    _flags_: ClassVar[None | list[_FlagsKind]]
+
+    @overload
+    @classmethod
+    def from_param(cls: type[_ndptr[None]], obj: ndarray[Any, Any]) -> _ctypes[Any]: ...
+    @overload
+    @classmethod
+    def from_param(cls: type[_ndptr[_DType]], obj: ndarray[Any, _DType]) -> _ctypes[Any]: ...
+
+class _concrete_ndptr(_ndptr[_DType]):
+    _dtype_: ClassVar[_DType]
+    _shape_: ClassVar[tuple[int, ...]]
+    @property
+    def contents(self) -> ndarray[Any, _DType]: ...
+
+def load_library(
+    libname: str | bytes | os.PathLike[str] | os.PathLike[bytes],
+    loader_path: str | bytes | os.PathLike[str] | os.PathLike[bytes],
+) -> ctypes.CDLL: ...
+
+__all__: list[str]
+
+c_intp = _c_intp
+
+@overload
+def ndpointer(
+    dtype: None = ...,
+    ndim: int = ...,
+    shape: None | _ShapeLike = ...,
+    flags: None | _FlagsKind | Iterable[_FlagsKind] | int | flagsobj = ...,
+) -> type[_ndptr[None]]: ...
+@overload
+def ndpointer(
+    dtype: _DTypeLike[_SCT],
+    ndim: int = ...,
+    *,
+    shape: _ShapeLike,
+    flags: None | _FlagsKind | Iterable[_FlagsKind] | int | flagsobj = ...,
+) -> type[_concrete_ndptr[dtype[_SCT]]]: ...
+@overload
+def ndpointer(
+    dtype: DTypeLike,
+    ndim: int = ...,
+    *,
+    shape: _ShapeLike,
+    flags: None | _FlagsKind | Iterable[_FlagsKind] | int | flagsobj = ...,
+) -> type[_concrete_ndptr[dtype[Any]]]: ...
+@overload
+def ndpointer(
+    dtype: _DTypeLike[_SCT],
+    ndim: int = ...,
+    shape: None = ...,
+    flags: None | _FlagsKind | Iterable[_FlagsKind] | int | flagsobj = ...,
+) -> type[_ndptr[dtype[_SCT]]]: ...
+@overload
+def ndpointer(
+    dtype: DTypeLike,
+    ndim: int = ...,
+    shape: None = ...,
+    flags: None | _FlagsKind | Iterable[_FlagsKind] | int | flagsobj = ...,
+) -> type[_ndptr[dtype[Any]]]: ...
+
+@overload
+def as_ctypes_type(dtype: _BoolCodes | _DTypeLike[bool_] | type[ctypes.c_bool]) -> type[ctypes.c_bool]: ...
+@overload
+def as_ctypes_type(dtype: _ByteCodes | _DTypeLike[byte] | type[ctypes.c_byte]) -> type[ctypes.c_byte]: ...
+@overload
+def as_ctypes_type(dtype: _ShortCodes | _DTypeLike[short] | type[ctypes.c_short]) -> type[ctypes.c_short]: ...
+@overload
+def as_ctypes_type(dtype: _IntCCodes | _DTypeLike[intc] | type[ctypes.c_int]) -> type[ctypes.c_int]: ...
+@overload
+def as_ctypes_type(dtype: _IntCodes | _DTypeLike[int_] | type[int | ctypes.c_long]) -> type[ctypes.c_long]: ...
+@overload
+def as_ctypes_type(dtype: _LongLongCodes | _DTypeLike[longlong] | type[ctypes.c_longlong]) -> type[ctypes.c_longlong]: ...
+@overload
+def as_ctypes_type(dtype: _UByteCodes | _DTypeLike[ubyte] | type[ctypes.c_ubyte]) -> type[ctypes.c_ubyte]: ...
+@overload
+def as_ctypes_type(dtype: _UShortCodes | _DTypeLike[ushort] | type[ctypes.c_ushort]) -> type[ctypes.c_ushort]: ...
+@overload
+def as_ctypes_type(dtype: _UIntCCodes | _DTypeLike[uintc] | type[ctypes.c_uint]) -> type[ctypes.c_uint]: ...
+@overload
+def as_ctypes_type(dtype: _UIntCodes | _DTypeLike[uint] | type[ctypes.c_ulong]) -> type[ctypes.c_ulong]: ...
+@overload
+def as_ctypes_type(dtype: _ULongLongCodes | _DTypeLike[ulonglong] | type[ctypes.c_ulonglong]) -> type[ctypes.c_ulonglong]: ...
+@overload
+def as_ctypes_type(dtype: _SingleCodes | _DTypeLike[single] | type[ctypes.c_float]) -> type[ctypes.c_float]: ...
+@overload
+def as_ctypes_type(dtype: _DoubleCodes | _DTypeLike[double] | type[float | ctypes.c_double]) -> type[ctypes.c_double]: ...
+@overload
+def as_ctypes_type(dtype: _LongDoubleCodes | _DTypeLike[longdouble] | type[ctypes.c_longdouble]) -> type[ctypes.c_longdouble]: ...
+@overload
+def as_ctypes_type(dtype: _VoidDTypeLike) -> type[Any]: ...  # `ctypes.Union` or `ctypes.Structure`
+@overload
+def as_ctypes_type(dtype: str) -> type[Any]: ...
+
+@overload
+def as_array(obj: ctypes._PointerLike, shape: Sequence[int]) -> NDArray[Any]: ...
+@overload
+def as_array(obj: _ArrayLike[_SCT], shape: None | _ShapeLike = ...) -> NDArray[_SCT]: ...
+@overload
+def as_array(obj: object, shape: None | _ShapeLike = ...) -> NDArray[Any]: ...
+
+@overload
+def as_ctypes(obj: bool_) -> ctypes.c_bool: ...
+@overload
+def as_ctypes(obj: byte) -> ctypes.c_byte: ...
+@overload
+def as_ctypes(obj: short) -> ctypes.c_short: ...
+@overload
+def as_ctypes(obj: intc) -> ctypes.c_int: ...
+@overload
+def as_ctypes(obj: int_) -> ctypes.c_long: ...
+@overload
+def as_ctypes(obj: longlong) -> ctypes.c_longlong: ...
+@overload
+def as_ctypes(obj: ubyte) -> ctypes.c_ubyte: ...
+@overload
+def as_ctypes(obj: ushort) -> ctypes.c_ushort: ...
+@overload
+def as_ctypes(obj: uintc) -> ctypes.c_uint: ...
+@overload
+def as_ctypes(obj: uint) -> ctypes.c_ulong: ...
+@overload
+def as_ctypes(obj: ulonglong) -> ctypes.c_ulonglong: ...
+@overload
+def as_ctypes(obj: single) -> ctypes.c_float: ...
+@overload
+def as_ctypes(obj: double) -> ctypes.c_double: ...
+@overload
+def as_ctypes(obj: longdouble) -> ctypes.c_longdouble: ...
+@overload
+def as_ctypes(obj: void) -> Any: ...  # `ctypes.Union` or `ctypes.Structure`
+@overload
+def as_ctypes(obj: NDArray[bool_]) -> ctypes.Array[ctypes.c_bool]: ...
+@overload
+def as_ctypes(obj: NDArray[byte]) -> ctypes.Array[ctypes.c_byte]: ...
+@overload
+def as_ctypes(obj: NDArray[short]) -> ctypes.Array[ctypes.c_short]: ...
+@overload
+def as_ctypes(obj: NDArray[intc]) -> ctypes.Array[ctypes.c_int]: ...
+@overload
+def as_ctypes(obj: NDArray[int_]) -> ctypes.Array[ctypes.c_long]: ...
+@overload
+def as_ctypes(obj: NDArray[longlong]) -> ctypes.Array[ctypes.c_longlong]: ...
+@overload
+def as_ctypes(obj: NDArray[ubyte]) -> ctypes.Array[ctypes.c_ubyte]: ...
+@overload
+def as_ctypes(obj: NDArray[ushort]) -> ctypes.Array[ctypes.c_ushort]: ...
+@overload
+def as_ctypes(obj: NDArray[uintc]) -> ctypes.Array[ctypes.c_uint]: ...
+@overload
+def as_ctypes(obj: NDArray[uint]) -> ctypes.Array[ctypes.c_ulong]: ...
+@overload
+def as_ctypes(obj: NDArray[ulonglong]) -> ctypes.Array[ctypes.c_ulonglong]: ...
+@overload
+def as_ctypes(obj: NDArray[single]) -> ctypes.Array[ctypes.c_float]: ...
+@overload
+def as_ctypes(obj: NDArray[double]) -> ctypes.Array[ctypes.c_double]: ...
+@overload
+def as_ctypes(obj: NDArray[longdouble]) -> ctypes.Array[ctypes.c_longdouble]: ...
+@overload
+def as_ctypes(obj: NDArray[void]) -> ctypes.Array[Any]: ...  # `ctypes.Union` or `ctypes.Structure`

.venv/lib/python3.11/site-packages/numpy/linalg/__init__.py

@@ -0,0 +1,80 @@
+"""
+``numpy.linalg``
+================
+
+The NumPy linear algebra functions rely on BLAS and LAPACK to provide efficient
+low level implementations of standard linear algebra algorithms. Those
+libraries may be provided by NumPy itself using C versions of a subset of their
+reference implementations but, when possible, highly optimized libraries that
+take advantage of specialized processor functionality are preferred. Examples
+of such libraries are OpenBLAS, MKL (TM), and ATLAS. Because those libraries
+are multithreaded and processor dependent, environmental variables and external
+packages such as threadpoolctl may be needed to control the number of threads
+or specify the processor architecture.
+
+- OpenBLAS: https://www.openblas.net/
+- threadpoolctl: https://github.com/joblib/threadpoolctl
+
+Please note that the most-used linear algebra functions in NumPy are present in
+the main ``numpy`` namespace rather than in ``numpy.linalg``.  There are:
+``dot``, ``vdot``, ``inner``, ``outer``, ``matmul``, ``tensordot``, ``einsum``,
+``einsum_path`` and ``kron``.
+
+Functions present in numpy.linalg are listed below.
+
+
+Matrix and vector products
+--------------------------
+
+   multi_dot
+   matrix_power
+
+Decompositions
+--------------
+
+   cholesky
+   qr
+   svd
+
+Matrix eigenvalues
+------------------
+
+   eig
+   eigh
+   eigvals
+   eigvalsh
+
+Norms and other numbers
+-----------------------
+
+   norm
+   cond
+   det
+   matrix_rank
+   slogdet
+
+Solving equations and inverting matrices
+----------------------------------------
+
+   solve
+   tensorsolve
+   lstsq
+   inv
+   pinv
+   tensorinv
+
+Exceptions
+----------
+
+   LinAlgError
+
+"""
+# To get sub-modules
+from . import linalg
+from .linalg import *
+
+__all__ = linalg.__all__.copy()
+
+from numpy._pytesttester import PytestTester
+test = PytestTester(__name__)
+del PytestTester

.venv/lib/python3.11/site-packages/numpy/matlib.py

@@ -0,0 +1,378 @@
+import warnings
+
+# 2018-05-29, PendingDeprecationWarning added to matrix.__new__
+# 2020-01-23, numpy 1.19.0 PendingDeprecatonWarning
+warnings.warn("Importing from numpy.matlib is deprecated since 1.19.0. "
+              "The matrix subclass is not the recommended way to represent "
+              "matrices or deal with linear algebra (see "
+              "https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). "
+              "Please adjust your code to use regular ndarray. ",
+              PendingDeprecationWarning, stacklevel=2)
+
+import numpy as np
+from numpy.matrixlib.defmatrix import matrix, asmatrix
+# Matlib.py contains all functions in the numpy namespace with a few
+# replacements. See doc/source/reference/routines.matlib.rst for details.
+# Need * as we're copying the numpy namespace.
+from numpy import *  # noqa: F403
+
+__version__ = np.__version__
+
+__all__ = np.__all__[:] # copy numpy namespace
+__all__ += ['rand', 'randn', 'repmat']
+
+def empty(shape, dtype=None, order='C'):
+    """Return a new matrix of given shape and type, without initializing entries.
+
+    Parameters
+    ----------
+    shape : int or tuple of int
+        Shape of the empty matrix.
+    dtype : data-type, optional
+        Desired output data-type.
+    order : {'C', 'F'}, optional
+        Whether to store multi-dimensional data in row-major
+        (C-style) or column-major (Fortran-style) order in
+        memory.
+
+    See Also
+    --------
+    empty_like, zeros
+
+    Notes
+    -----
+    `empty`, unlike `zeros`, does not set the matrix values to zero,
+    and may therefore be marginally faster.  On the other hand, it requires
+    the user to manually set all the values in the array, and should be
+    used with caution.
+
+    Examples
+    --------
+    >>> import numpy.matlib
+    >>> np.matlib.empty((2, 2))    # filled with random data
+    matrix([[  6.76425276e-320,   9.79033856e-307], # random
+            [  7.39337286e-309,   3.22135945e-309]])
+    >>> np.matlib.empty((2, 2), dtype=int)
+    matrix([[ 6600475,        0], # random
+            [ 6586976, 22740995]])
+
+    """
+    return ndarray.__new__(matrix, shape, dtype, order=order)
+
+def ones(shape, dtype=None, order='C'):
+    """
+    Matrix of ones.
+
+    Return a matrix of given shape and type, filled with ones.
+
+    Parameters
+    ----------
+    shape : {sequence of ints, int}
+        Shape of the matrix
+    dtype : data-type, optional
+        The desired data-type for the matrix, default is np.float64.
+    order : {'C', 'F'}, optional
+        Whether to store matrix in C- or Fortran-contiguous order,
+        default is 'C'.
+
+    Returns
+    -------
+    out : matrix
+        Matrix of ones of given shape, dtype, and order.
+
+    See Also
+    --------
+    ones : Array of ones.
+    matlib.zeros : Zero matrix.
+
+    Notes
+    -----
+    If `shape` has length one i.e. ``(N,)``, or is a scalar ``N``,
+    `out` becomes a single row matrix of shape ``(1,N)``.
+
+    Examples
+    --------
+    >>> np.matlib.ones((2,3))
+    matrix([[1.,  1.,  1.],
+            [1.,  1.,  1.]])
+
+    >>> np.matlib.ones(2)
+    matrix([[1.,  1.]])
+
+    """
+    a = ndarray.__new__(matrix, shape, dtype, order=order)
+    a.fill(1)
+    return a
+
+def zeros(shape, dtype=None, order='C'):
+    """
+    Return a matrix of given shape and type, filled with zeros.
+
+    Parameters
+    ----------
+    shape : int or sequence of ints
+        Shape of the matrix
+    dtype : data-type, optional
+        The desired data-type for the matrix, default is float.
+    order : {'C', 'F'}, optional
+        Whether to store the result in C- or Fortran-contiguous order,
+        default is 'C'.
+
+    Returns
+    -------
+    out : matrix
+        Zero matrix of given shape, dtype, and order.
+
+    See Also
+    --------
+    numpy.zeros : Equivalent array function.
+    matlib.ones : Return a matrix of ones.
+
+    Notes
+    -----
+    If `shape` has length one i.e. ``(N,)``, or is a scalar ``N``,
+    `out` becomes a single row matrix of shape ``(1,N)``.
+
+    Examples
+    --------
+    >>> import numpy.matlib
+    >>> np.matlib.zeros((2, 3))
+    matrix([[0.,  0.,  0.],
+            [0.,  0.,  0.]])
+
+    >>> np.matlib.zeros(2)
+    matrix([[0.,  0.]])
+
+    """
+    a = ndarray.__new__(matrix, shape, dtype, order=order)
+    a.fill(0)
+    return a
+
+def identity(n,dtype=None):
+    """
+    Returns the square identity matrix of given size.
+
+    Parameters
+    ----------
+    n : int
+        Size of the returned identity matrix.
+    dtype : data-type, optional
+        Data-type of the output. Defaults to ``float``.
+
+    Returns
+    -------
+    out : matrix
+        `n` x `n` matrix with its main diagonal set to one,
+        and all other elements zero.
+
+    See Also
+    --------
+    numpy.identity : Equivalent array function.
+    matlib.eye : More general matrix identity function.
+
+    Examples
+    --------
+    >>> import numpy.matlib
+    >>> np.matlib.identity(3, dtype=int)
+    matrix([[1, 0, 0],
+            [0, 1, 0],
+            [0, 0, 1]])
+
+    """
+    a = array([1]+n*[0], dtype=dtype)
+    b = empty((n, n), dtype=dtype)
+    b.flat = a
+    return b
+
+def eye(n,M=None, k=0, dtype=float, order='C'):
+    """
+    Return a matrix with ones on the diagonal and zeros elsewhere.
+
+    Parameters
+    ----------
+    n : int
+        Number of rows in the output.
+    M : int, optional
+        Number of columns in the output, defaults to `n`.
+    k : int, optional
+        Index of the diagonal: 0 refers to the main diagonal,
+        a positive value refers to an upper diagonal,
+        and a negative value to a lower diagonal.
+    dtype : dtype, optional
+        Data-type of the returned matrix.
+    order : {'C', 'F'}, optional
+        Whether the output should be stored in row-major (C-style) or
+        column-major (Fortran-style) order in memory.
+
+        .. versionadded:: 1.14.0
+
+    Returns
+    -------
+    I : matrix
+        A `n` x `M` matrix where all elements are equal to zero,
+        except for the `k`-th diagonal, whose values are equal to one.
+
+    See Also
+    --------
+    numpy.eye : Equivalent array function.
+    identity : Square identity matrix.
+
+    Examples
+    --------
+    >>> import numpy.matlib
+    >>> np.matlib.eye(3, k=1, dtype=float)
+    matrix([[0.,  1.,  0.],
+            [0.,  0.,  1.],
+            [0.,  0.,  0.]])
+
+    """
+    return asmatrix(np.eye(n, M=M, k=k, dtype=dtype, order=order))
+
+def rand(*args):
+    """
+    Return a matrix of random values with given shape.
+
+    Create a matrix of the given shape and propagate it with
+    random samples from a uniform distribution over ``[0, 1)``.
+
+    Parameters
+    ----------
+    \\*args : Arguments
+        Shape of the output.
+        If given as N integers, each integer specifies the size of one
+        dimension.
+        If given as a tuple, this tuple gives the complete shape.
+
+    Returns
+    -------
+    out : ndarray
+        The matrix of random values with shape given by `\\*args`.
+
+    See Also
+    --------
+    randn, numpy.random.RandomState.rand
+
+    Examples
+    --------
+    >>> np.random.seed(123)
+    >>> import numpy.matlib
+    >>> np.matlib.rand(2, 3)
+    matrix([[0.69646919, 0.28613933, 0.22685145],
+            [0.55131477, 0.71946897, 0.42310646]])
+    >>> np.matlib.rand((2, 3))
+    matrix([[0.9807642 , 0.68482974, 0.4809319 ],
+            [0.39211752, 0.34317802, 0.72904971]])
+
+    If the first argument is a tuple, other arguments are ignored:
+
+    >>> np.matlib.rand((2, 3), 4)
+    matrix([[0.43857224, 0.0596779 , 0.39804426],
+            [0.73799541, 0.18249173, 0.17545176]])
+
+    """
+    if isinstance(args[0], tuple):
+        args = args[0]
+    return asmatrix(np.random.rand(*args))
+
+def randn(*args):
+    """
+    Return a random matrix with data from the "standard normal" distribution.
+
+    `randn` generates a matrix filled with random floats sampled from a
+    univariate "normal" (Gaussian) distribution of mean 0 and variance 1.
+
+    Parameters
+    ----------
+    \\*args : Arguments
+        Shape of the output.
+        If given as N integers, each integer specifies the size of one
+        dimension. If given as a tuple, this tuple gives the complete shape.
+
+    Returns
+    -------
+    Z : matrix of floats
+        A matrix of floating-point samples drawn from the standard normal
+        distribution.
+
+    See Also
+    --------
+    rand, numpy.random.RandomState.randn
+
+    Notes
+    -----
+    For random samples from the normal distribution with mean ``mu`` and
+    standard deviation ``sigma``, use::
+
+        sigma * np.matlib.randn(...) + mu
+
+    Examples
+    --------
+    >>> np.random.seed(123)
+    >>> import numpy.matlib
+    >>> np.matlib.randn(1)
+    matrix([[-1.0856306]])
+    >>> np.matlib.randn(1, 2, 3)
+    matrix([[ 0.99734545,  0.2829785 , -1.50629471],
+            [-0.57860025,  1.65143654, -2.42667924]])
+
+    Two-by-four matrix of samples from the normal distribution with
+    mean 3 and standard deviation 2.5:
+
+    >>> 2.5 * np.matlib.randn((2, 4)) + 3
+    matrix([[1.92771843, 6.16484065, 0.83314899, 1.30278462],
+            [2.76322758, 6.72847407, 1.40274501, 1.8900451 ]])
+
+    """
+    if isinstance(args[0], tuple):
+        args = args[0]
+    return asmatrix(np.random.randn(*args))
+
+def repmat(a, m, n):
+    """
+    Repeat a 0-D to 2-D array or matrix MxN times.
+
+    Parameters
+    ----------
+    a : array_like
+        The array or matrix to be repeated.
+    m, n : int
+        The number of times `a` is repeated along the first and second axes.
+
+    Returns
+    -------
+    out : ndarray
+        The result of repeating `a`.
+
+    Examples
+    --------
+    >>> import numpy.matlib
+    >>> a0 = np.array(1)
+    >>> np.matlib.repmat(a0, 2, 3)
+    array([[1, 1, 1],
+           [1, 1, 1]])
+
+    >>> a1 = np.arange(4)
+    >>> np.matlib.repmat(a1, 2, 2)
+    array([[0, 1, 2, 3, 0, 1, 2, 3],
+           [0, 1, 2, 3, 0, 1, 2, 3]])
+
+    >>> a2 = np.asmatrix(np.arange(6).reshape(2, 3))
+    >>> np.matlib.repmat(a2, 2, 3)
+    matrix([[0, 1, 2, 0, 1, 2, 0, 1, 2],
+            [3, 4, 5, 3, 4, 5, 3, 4, 5],
+            [0, 1, 2, 0, 1, 2, 0, 1, 2],
+            [3, 4, 5, 3, 4, 5, 3, 4, 5]])
+
+    """
+    a = asanyarray(a)
+    ndim = a.ndim
+    if ndim == 0:
+        origrows, origcols = (1, 1)
+    elif ndim == 1:
+        origrows, origcols = (1, a.shape[0])
+    else:
+        origrows, origcols = a.shape
+    rows = origrows * m
+    cols = origcols * n
+    c = a.reshape(1, a.size).repeat(m, 0).reshape(rows, origcols).repeat(n, 0)
+    return c.reshape(rows, cols)

.venv/lib/python3.11/site-packages/retrying.py

@@ -0,0 +1,346 @@
+# Copyright 2013-2014 Ray Holder
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import logging
+import random
+import sys
+import time
+import traceback
+from functools import wraps
+
+# sys.maxint / 2, since Python 3.2 doesn't have a sys.maxint...
+MAX_WAIT = 1073741823
+
+
+def _retry_if_exception_of_type(retryable_types):
+    def _retry_if_exception_these_types(exception):
+        return isinstance(exception, retryable_types)
+
+    return _retry_if_exception_these_types
+
+
+def retry(*dargs, **dkw):
+    """
+    Decorator function that instantiates the Retrying object
+    @param *dargs: positional arguments passed to Retrying object
+    @param **dkw: keyword arguments passed to the Retrying object
+    """
+    # support both @retry and @retry() as valid syntax
+    if len(dargs) == 1 and callable(dargs[0]):
+
+        def wrap_simple(f):
+            @wraps(f)
+            def wrapped_f(*args, **kw):
+                return Retrying().call(f, *args, **kw)
+
+            return wrapped_f
+
+        return wrap_simple(dargs[0])
+
+    else:
+
+        def wrap(f):
+            @wraps(f)
+            def wrapped_f(*args, **kw):
+                return Retrying(*dargs, **dkw).call(f, *args, **kw)
+
+            return wrapped_f
+
+        return wrap
+
+_default_logger = None
+_configured_null_logger = False
+
+def _pick_logger(logger=None):
+    # Factor this logic out into a smaller function so that `global` only needs to be here,
+    # not the large __init__ function.
+    global _default_logger, _configured_null_logger
+
+    if logger in (True, None):
+        if _default_logger is None:
+            _default_logger = logging.getLogger(__name__)
+        # Only add the null handler once, not every time we get the logger
+        if logger is None and not _configured_null_logger:
+            _configured_null_logger = True
+            _default_logger.addHandler(logging.NullHandler())
+            _default_logger.propagate = False
+        return _default_logger
+    else:  # Not None (and not True) -> must have supplied a logger. Just use that.
+        return logger
+
+
+class Retrying(object):
+    def __init__(
+        self,
+        stop=None,
+        wait=None,
+        stop_max_attempt_number=None,
+        stop_max_delay=None,
+        wait_fixed=None,
+        wait_random_min=None,
+        wait_random_max=None,
+        wait_incrementing_start=None,
+        wait_incrementing_increment=None,
+        wait_incrementing_max=None,
+        wait_exponential_multiplier=None,
+        wait_exponential_max=None,
+        retry_on_exception=None,
+        retry_on_result=None,
+        wrap_exception=False,
+        stop_func=None,
+        wait_func=None,
+        wait_jitter_max=None,
+        before_attempts=None,
+        after_attempts=None,
+        logger=None,
+    ):
+
+        self._stop_max_attempt_number = (
+            5 if stop_max_attempt_number is None else stop_max_attempt_number
+        )
+        self._stop_max_delay = 100 if stop_max_delay is None else stop_max_delay
+        self._wait_fixed = 1000 if wait_fixed is None else wait_fixed
+        self._wait_random_min = 0 if wait_random_min is None else wait_random_min
+        self._wait_random_max = 1000 if wait_random_max is None else wait_random_max
+        self._wait_incrementing_start = (
+            0 if wait_incrementing_start is None else wait_incrementing_start
+        )
+        self._wait_incrementing_increment = (
+            100 if wait_incrementing_increment is None else wait_incrementing_increment
+        )
+        self._wait_exponential_multiplier = (
+            1 if wait_exponential_multiplier is None else wait_exponential_multiplier
+        )
+        self._wait_exponential_max = (
+            MAX_WAIT if wait_exponential_max is None else wait_exponential_max
+        )
+        self._wait_incrementing_max = (
+            MAX_WAIT if wait_incrementing_max is None else wait_incrementing_max
+        )
+        self._wait_jitter_max = 0 if wait_jitter_max is None else wait_jitter_max
+        self._before_attempts = before_attempts
+        self._after_attempts = after_attempts
+
+        self._logger = _pick_logger(logger)
+
+        # TODO add chaining of stop behaviors
+        # stop behavior
+        stop_funcs = []
+        if stop_max_attempt_number is not None:
+            stop_funcs.append(self.stop_after_attempt)
+
+        if stop_max_delay is not None:
+            stop_funcs.append(self.stop_after_delay)
+
+        if stop_func is not None:
+            self.stop = stop_func
+
+        elif stop is None:
+            self.stop = lambda attempts, delay: any(
+                f(attempts, delay) for f in stop_funcs
+            )
+
+        else:
+            self.stop = getattr(self, stop)
+
+        # TODO add chaining of wait behaviors
+        # wait behavior
+        wait_funcs = [lambda *args, **kwargs: 0]
+        if wait_fixed is not None:
+            wait_funcs.append(self.fixed_sleep)
+
+        if wait_random_min is not None or wait_random_max is not None:
+            wait_funcs.append(self.random_sleep)
+
+        if (
+            wait_incrementing_start is not None
+            or wait_incrementing_increment is not None
+        ):
+            wait_funcs.append(self.incrementing_sleep)
+
+        if wait_exponential_multiplier is not None or wait_exponential_max is not None:
+            wait_funcs.append(self.exponential_sleep)
+
+        if wait_func is not None:
+            self.wait = wait_func
+
+        elif wait is None:
+            self.wait = lambda attempts, delay: max(
+                f(attempts, delay) for f in wait_funcs
+            )
+
+        else:
+            self.wait = getattr(self, wait)
+
+        # retry on exception filter
+        if retry_on_exception is None:
+            self._retry_on_exception = self.always_reject
+        else:
+            # this allows for providing a tuple of exception types that
+            # should be allowed to retry on, and avoids having to create
+            # a callback that does the same thing
+            if isinstance(retry_on_exception, (tuple, Exception)):
+                retry_on_exception = _retry_if_exception_of_type(retry_on_exception)
+            self._retry_on_exception = retry_on_exception
+
+        # retry on result filter
+        if retry_on_result is None:
+            self._retry_on_result = self.never_reject
+        else:
+            self._retry_on_result = retry_on_result
+
+        self._wrap_exception = wrap_exception
+
+    def stop_after_attempt(self, previous_attempt_number, delay_since_first_attempt_ms):
+        """Stop after the previous attempt >= stop_max_attempt_number."""
+        return previous_attempt_number >= self._stop_max_attempt_number
+
+    def stop_after_delay(self, previous_attempt_number, delay_since_first_attempt_ms):
+        """Stop after the time from the first attempt >= stop_max_delay."""
+        return delay_since_first_attempt_ms >= self._stop_max_delay
+
+    @staticmethod
+    def no_sleep(previous_attempt_number, delay_since_first_attempt_ms):
+        """Don't sleep at all before retrying."""
+        return 0
+
+    def fixed_sleep(self, previous_attempt_number, delay_since_first_attempt_ms):
+        """Sleep a fixed amount of time between each retry."""
+        return self._wait_fixed
+
+    def random_sleep(self, previous_attempt_number, delay_since_first_attempt_ms):
+        """Sleep a random amount of time between wait_random_min and wait_random_max"""
+        return random.randint(self._wait_random_min, self._wait_random_max)
+
+    def incrementing_sleep(self, previous_attempt_number, delay_since_first_attempt_ms):
+        """
+        Sleep an incremental amount of time after each attempt, starting at
+        wait_incrementing_start and incrementing by wait_incrementing_increment
+        """
+        result = self._wait_incrementing_start + (
+            self._wait_incrementing_increment * (previous_attempt_number - 1)
+        )
+        if result > self._wait_incrementing_max:
+            result = self._wait_incrementing_max
+        if result < 0:
+            result = 0
+        return result
+
+    def exponential_sleep(self, previous_attempt_number, delay_since_first_attempt_ms):
+        exp = 2**previous_attempt_number
+        result = self._wait_exponential_multiplier * exp
+        if result > self._wait_exponential_max:
+            result = self._wait_exponential_max
+        if result < 0:
+            result = 0
+        return result
+
+    @staticmethod
+    def never_reject(result):
+        return False
+
+    @staticmethod
+    def always_reject(result):
+        return True
+
+    def should_reject(self, attempt):
+        reject = False
+        if attempt.has_exception:
+            reject |= self._retry_on_exception(attempt.value[1])
+        else:
+            reject |= self._retry_on_result(attempt.value)
+
+        return reject
+
+    def call(self, fn, *args, **kwargs):
+        start_time = int(round(time.time() * 1000))
+        attempt_number = 1
+        while True:
+            if self._before_attempts:
+                self._before_attempts(attempt_number)
+
+            try:
+                attempt = Attempt(fn(*args, **kwargs), attempt_number, False)
+            except Exception:
+                tb = sys.exc_info()
+                attempt = Attempt(tb, attempt_number, True)
+
+            if not self.should_reject(attempt):
+                return attempt.get(self._wrap_exception)
+
+            self._logger.warning(attempt)
+            if self._after_attempts:
+                self._after_attempts(attempt_number)
+
+            delay_since_first_attempt_ms = int(round(time.time() * 1000)) - start_time
+            if self.stop(attempt_number, delay_since_first_attempt_ms):
+                if not self._wrap_exception and attempt.has_exception:
+                    # get() on an attempt with an exception should cause it to be raised, but raise just in case
+                    raise attempt.get()
+                else:
+                    raise RetryError(attempt)
+            else:
+                sleep = self.wait(attempt_number, delay_since_first_attempt_ms)
+                if self._wait_jitter_max:
+                    jitter = random.random() * self._wait_jitter_max
+                    sleep = sleep + max(0, jitter)
+                self._logger.info(f"Retrying in {sleep / 1000.0:.2f} seconds.")
+                time.sleep(sleep / 1000.0)
+
+            attempt_number += 1
+
+
+class Attempt(object):
+    """
+    An Attempt encapsulates a call to a target function that may end as a
+    normal return value from the function or an Exception depending on what
+    occurred during the execution.
+    """
+
+    def __init__(self, value, attempt_number, has_exception):
+        self.value = value
+        self.attempt_number = attempt_number
+        self.has_exception = has_exception
+
+    def get(self, wrap_exception=False):
+        """
+        Return the return value of this Attempt instance or raise an Exception.
+        If wrap_exception is true, this Attempt is wrapped inside of a
+        RetryError before being raised.
+        """
+        if self.has_exception:
+            if wrap_exception:
+                raise RetryError(self)
+            else:
+                exc_type, exc, tb = self.value
+                raise exc.with_traceback(tb)
+        else:
+            return self.value
+
+    def __repr__(self):
+        if self.has_exception:
+            return f"Attempts: {self.attempt_number}, Error:\n{''.join(traceback.format_tb(self.value[2]))}"
+        else:
+            return f"Attempts: {self.attempt_number}, Value: {self.value}"
+
+
+class RetryError(Exception):
+    """
+    A RetryError encapsulates the last Attempt instance right before giving up.
+    """
+
+    def __init__(self, last_attempt):
+        self.last_attempt = last_attempt
+
+    def __str__(self):
+        return f"RetryError[{self.last_attempt}]"

.venv/lib/python3.11/site-packages/six.py

@@ -0,0 +1,1003 @@
+# Copyright (c) 2010-2024 Benjamin Peterson
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
+
+"""Utilities for writing code that runs on Python 2 and 3"""
+
+from __future__ import absolute_import
+
+import functools
+import itertools
+import operator
+import sys
+import types
+
+__author__ = "Benjamin Peterson <benjamin@python.org>"
+__version__ = "1.17.0"
+
+
+# Useful for very coarse version differentiation.
+PY2 = sys.version_info[0] == 2
+PY3 = sys.version_info[0] == 3
+PY34 = sys.version_info[0:2] >= (3, 4)
+
+if PY3:
+    string_types = str,
+    integer_types = int,
+    class_types = type,
+    text_type = str
+    binary_type = bytes
+
+    MAXSIZE = sys.maxsize
+else:
+    string_types = basestring,
+    integer_types = (int, long)
+    class_types = (type, types.ClassType)
+    text_type = unicode
+    binary_type = str
+
+    if sys.platform.startswith("java"):
+        # Jython always uses 32 bits.
+        MAXSIZE = int((1 << 31) - 1)
+    else:
+        # It's possible to have sizeof(long) != sizeof(Py_ssize_t).
+        class X(object):
+
+            def __len__(self):
+                return 1 << 31
+        try:
+            len(X())
+        except OverflowError:
+            # 32-bit
+            MAXSIZE = int((1 << 31) - 1)
+        else:
+            # 64-bit
+            MAXSIZE = int((1 << 63) - 1)
+        del X
+
+if PY34:
+    from importlib.util import spec_from_loader
+else:
+    spec_from_loader = None
+
+
+def _add_doc(func, doc):
+    """Add documentation to a function."""
+    func.__doc__ = doc
+
+
+def _import_module(name):
+    """Import module, returning the module after the last dot."""
+    __import__(name)
+    return sys.modules[name]
+
+
+class _LazyDescr(object):
+
+    def __init__(self, name):
+        self.name = name
+
+    def __get__(self, obj, tp):
+        result = self._resolve()
+        setattr(obj, self.name, result)  # Invokes __set__.
+        try:
+            # This is a bit ugly, but it avoids running this again by
+            # removing this descriptor.
+            delattr(obj.__class__, self.name)
+        except AttributeError:
+            pass
+        return result
+
+
+class MovedModule(_LazyDescr):
+
+    def __init__(self, name, old, new=None):
+        super(MovedModule, self).__init__(name)
+        if PY3:
+            if new is None:
+                new = name
+            self.mod = new
+        else:
+            self.mod = old
+
+    def _resolve(self):
+        return _import_module(self.mod)
+
+    def __getattr__(self, attr):
+        _module = self._resolve()
+        value = getattr(_module, attr)
+        setattr(self, attr, value)
+        return value
+
+
+class _LazyModule(types.ModuleType):
+
+    def __init__(self, name):
+        super(_LazyModule, self).__init__(name)
+        self.__doc__ = self.__class__.__doc__
+
+    def __dir__(self):
+        attrs = ["__doc__", "__name__"]
+        attrs += [attr.name for attr in self._moved_attributes]
+        return attrs
+
+    # Subclasses should override this
+    _moved_attributes = []
+
+
+class MovedAttribute(_LazyDescr):
+
+    def __init__(self, name, old_mod, new_mod, old_attr=None, new_attr=None):
+        super(MovedAttribute, self).__init__(name)
+        if PY3:
+            if new_mod is None:
+                new_mod = name
+            self.mod = new_mod
+            if new_attr is None:
+                if old_attr is None:
+                    new_attr = name
+                else:
+                    new_attr = old_attr
+            self.attr = new_attr
+        else:
+            self.mod = old_mod
+            if old_attr is None:
+                old_attr = name
+            self.attr = old_attr
+
+    def _resolve(self):
+        module = _import_module(self.mod)
+        return getattr(module, self.attr)
+
+
+class _SixMetaPathImporter(object):
+
+    """
+    A meta path importer to import six.moves and its submodules.
+
+    This class implements a PEP302 finder and loader. It should be compatible
+    with Python 2.5 and all existing versions of Python3
+    """
+
+    def __init__(self, six_module_name):
+        self.name = six_module_name
+        self.known_modules = {}
+
+    def _add_module(self, mod, *fullnames):
+        for fullname in fullnames:
+            self.known_modules[self.name + "." + fullname] = mod
+
+    def _get_module(self, fullname):
+        return self.known_modules[self.name + "." + fullname]
+
+    def find_module(self, fullname, path=None):
+        if fullname in self.known_modules:
+            return self
+        return None
+
+    def find_spec(self, fullname, path, target=None):
+        if fullname in self.known_modules:
+            return spec_from_loader(fullname, self)
+        return None
+
+    def __get_module(self, fullname):
+        try:
+            return self.known_modules[fullname]
+        except KeyError:
+            raise ImportError("This loader does not know module " + fullname)
+
+    def load_module(self, fullname):
+        try:
+            # in case of a reload
+            return sys.modules[fullname]
+        except KeyError:
+            pass
+        mod = self.__get_module(fullname)
+        if isinstance(mod, MovedModule):
+            mod = mod._resolve()
+        else:
+            mod.__loader__ = self
+        sys.modules[fullname] = mod
+        return mod
+
+    def is_package(self, fullname):
+        """
+        Return true, if the named module is a package.
+
+        We need this method to get correct spec objects with
+        Python 3.4 (see PEP451)
+        """
+        return hasattr(self.__get_module(fullname), "__path__")
+
+    def get_code(self, fullname):
+        """Return None
+
+        Required, if is_package is implemented"""
+        self.__get_module(fullname)  # eventually raises ImportError
+        return None
+    get_source = get_code  # same as get_code
+
+    def create_module(self, spec):
+        return self.load_module(spec.name)
+
+    def exec_module(self, module):
+        pass
+
+_importer = _SixMetaPathImporter(__name__)
+
+
+class _MovedItems(_LazyModule):
+
+    """Lazy loading of moved objects"""
+    __path__ = []  # mark as package
+
+
+_moved_attributes = [
+    MovedAttribute("cStringIO", "cStringIO", "io", "StringIO"),
+    MovedAttribute("filter", "itertools", "builtins", "ifilter", "filter"),
+    MovedAttribute("filterfalse", "itertools", "itertools", "ifilterfalse", "filterfalse"),
+    MovedAttribute("input", "__builtin__", "builtins", "raw_input", "input"),
+    MovedAttribute("intern", "__builtin__", "sys"),
+    MovedAttribute("map", "itertools", "builtins", "imap", "map"),
+    MovedAttribute("getcwd", "os", "os", "getcwdu", "getcwd"),
+    MovedAttribute("getcwdb", "os", "os", "getcwd", "getcwdb"),
+    MovedAttribute("getoutput", "commands", "subprocess"),
+    MovedAttribute("range", "__builtin__", "builtins", "xrange", "range"),
+    MovedAttribute("reload_module", "__builtin__", "importlib" if PY34 else "imp", "reload"),
+    MovedAttribute("reduce", "__builtin__", "functools"),
+    MovedAttribute("shlex_quote", "pipes", "shlex", "quote"),
+    MovedAttribute("StringIO", "StringIO", "io"),
+    MovedAttribute("UserDict", "UserDict", "collections", "IterableUserDict", "UserDict"),
+    MovedAttribute("UserList", "UserList", "collections"),
+    MovedAttribute("UserString", "UserString", "collections"),
+    MovedAttribute("xrange", "__builtin__", "builtins", "xrange", "range"),
+    MovedAttribute("zip", "itertools", "builtins", "izip", "zip"),
+    MovedAttribute("zip_longest", "itertools", "itertools", "izip_longest", "zip_longest"),
+    MovedModule("builtins", "__builtin__"),
+    MovedModule("configparser", "ConfigParser"),
+    MovedModule("collections_abc", "collections", "collections.abc" if sys.version_info >= (3, 3) else "collections"),
+    MovedModule("copyreg", "copy_reg"),
+    MovedModule("dbm_gnu", "gdbm", "dbm.gnu"),
+    MovedModule("dbm_ndbm", "dbm", "dbm.ndbm"),
+    MovedModule("_dummy_thread", "dummy_thread", "_dummy_thread" if sys.version_info < (3, 9) else "_thread"),
+    MovedModule("http_cookiejar", "cookielib", "http.cookiejar"),
+    MovedModule("http_cookies", "Cookie", "http.cookies"),
+    MovedModule("html_entities", "htmlentitydefs", "html.entities"),
+    MovedModule("html_parser", "HTMLParser", "html.parser"),
+    MovedModule("http_client", "httplib", "http.client"),
+    MovedModule("email_mime_base", "email.MIMEBase", "email.mime.base"),
+    MovedModule("email_mime_image", "email.MIMEImage", "email.mime.image"),
+    MovedModule("email_mime_multipart", "email.MIMEMultipart", "email.mime.multipart"),
+    MovedModule("email_mime_nonmultipart", "email.MIMENonMultipart", "email.mime.nonmultipart"),
+    MovedModule("email_mime_text", "email.MIMEText", "email.mime.text"),
+    MovedModule("BaseHTTPServer", "BaseHTTPServer", "http.server"),
+    MovedModule("CGIHTTPServer", "CGIHTTPServer", "http.server"),
+    MovedModule("SimpleHTTPServer", "SimpleHTTPServer", "http.server"),
+    MovedModule("cPickle", "cPickle", "pickle"),
+    MovedModule("queue", "Queue"),
+    MovedModule("reprlib", "repr"),
+    MovedModule("socketserver", "SocketServer"),
+    MovedModule("_thread", "thread", "_thread"),
+    MovedModule("tkinter", "Tkinter"),
+    MovedModule("tkinter_dialog", "Dialog", "tkinter.dialog"),
+    MovedModule("tkinter_filedialog", "FileDialog", "tkinter.filedialog"),
+    MovedModule("tkinter_scrolledtext", "ScrolledText", "tkinter.scrolledtext"),
+    MovedModule("tkinter_simpledialog", "SimpleDialog", "tkinter.simpledialog"),
+    MovedModule("tkinter_tix", "Tix", "tkinter.tix"),
+    MovedModule("tkinter_ttk", "ttk", "tkinter.ttk"),
+    MovedModule("tkinter_constants", "Tkconstants", "tkinter.constants"),
+    MovedModule("tkinter_dnd", "Tkdnd", "tkinter.dnd"),
+    MovedModule("tkinter_colorchooser", "tkColorChooser",
+                "tkinter.colorchooser"),
+    MovedModule("tkinter_commondialog", "tkCommonDialog",
+                "tkinter.commondialog"),
+    MovedModule("tkinter_tkfiledialog", "tkFileDialog", "tkinter.filedialog"),
+    MovedModule("tkinter_font", "tkFont", "tkinter.font"),
+    MovedModule("tkinter_messagebox", "tkMessageBox", "tkinter.messagebox"),
+    MovedModule("tkinter_tksimpledialog", "tkSimpleDialog",
+                "tkinter.simpledialog"),
+    MovedModule("urllib_parse", __name__ + ".moves.urllib_parse", "urllib.parse"),
+    MovedModule("urllib_error", __name__ + ".moves.urllib_error", "urllib.error"),
+    MovedModule("urllib", __name__ + ".moves.urllib", __name__ + ".moves.urllib"),
+    MovedModule("urllib_robotparser", "robotparser", "urllib.robotparser"),
+    MovedModule("xmlrpc_client", "xmlrpclib", "xmlrpc.client"),
+    MovedModule("xmlrpc_server", "SimpleXMLRPCServer", "xmlrpc.server"),
+]
+# Add windows specific modules.
+if sys.platform == "win32":
+    _moved_attributes += [
+        MovedModule("winreg", "_winreg"),
+    ]
+
+for attr in _moved_attributes:
+    setattr(_MovedItems, attr.name, attr)
+    if isinstance(attr, MovedModule):
+        _importer._add_module(attr, "moves." + attr.name)
+del attr
+
+_MovedItems._moved_attributes = _moved_attributes
+
+moves = _MovedItems(__name__ + ".moves")
+_importer._add_module(moves, "moves")
+
+
+class Module_six_moves_urllib_parse(_LazyModule):
+
+    """Lazy loading of moved objects in six.moves.urllib_parse"""
+
+
+_urllib_parse_moved_attributes = [
+    MovedAttribute("ParseResult", "urlparse", "urllib.parse"),
+    MovedAttribute("SplitResult", "urlparse", "urllib.parse"),
+    MovedAttribute("parse_qs", "urlparse", "urllib.parse"),
+    MovedAttribute("parse_qsl", "urlparse", "urllib.parse"),
+    MovedAttribute("urldefrag", "urlparse", "urllib.parse"),
+    MovedAttribute("urljoin", "urlparse", "urllib.parse"),
+    MovedAttribute("urlparse", "urlparse", "urllib.parse"),
+    MovedAttribute("urlsplit", "urlparse", "urllib.parse"),
+    MovedAttribute("urlunparse", "urlparse", "urllib.parse"),
+    MovedAttribute("urlunsplit", "urlparse", "urllib.parse"),
+    MovedAttribute("quote", "urllib", "urllib.parse"),
+    MovedAttribute("quote_plus", "urllib", "urllib.parse"),
+    MovedAttribute("unquote", "urllib", "urllib.parse"),
+    MovedAttribute("unquote_plus", "urllib", "urllib.parse"),
+    MovedAttribute("unquote_to_bytes", "urllib", "urllib.parse", "unquote", "unquote_to_bytes"),
+    MovedAttribute("urlencode", "urllib", "urllib.parse"),
+    MovedAttribute("splitquery", "urllib", "urllib.parse"),
+    MovedAttribute("splittag", "urllib", "urllib.parse"),
+    MovedAttribute("splituser", "urllib", "urllib.parse"),
+    MovedAttribute("splitvalue", "urllib", "urllib.parse"),
+    MovedAttribute("uses_fragment", "urlparse", "urllib.parse"),
+    MovedAttribute("uses_netloc", "urlparse", "urllib.parse"),
+    MovedAttribute("uses_params", "urlparse", "urllib.parse"),
+    MovedAttribute("uses_query", "urlparse", "urllib.parse"),
+    MovedAttribute("uses_relative", "urlparse", "urllib.parse"),
+]
+for attr in _urllib_parse_moved_attributes:
+    setattr(Module_six_moves_urllib_parse, attr.name, attr)
+del attr
+
+Module_six_moves_urllib_parse._moved_attributes = _urllib_parse_moved_attributes
+
+_importer._add_module(Module_six_moves_urllib_parse(__name__ + ".moves.urllib_parse"),
+                      "moves.urllib_parse", "moves.urllib.parse")
+
+
+class Module_six_moves_urllib_error(_LazyModule):
+
+    """Lazy loading of moved objects in six.moves.urllib_error"""
+
+
+_urllib_error_moved_attributes = [
+    MovedAttribute("URLError", "urllib2", "urllib.error"),
+    MovedAttribute("HTTPError", "urllib2", "urllib.error"),
+    MovedAttribute("ContentTooShortError", "urllib", "urllib.error"),
+]
+for attr in _urllib_error_moved_attributes:
+    setattr(Module_six_moves_urllib_error, attr.name, attr)
+del attr
+
+Module_six_moves_urllib_error._moved_attributes = _urllib_error_moved_attributes
+
+_importer._add_module(Module_six_moves_urllib_error(__name__ + ".moves.urllib.error"),
+                      "moves.urllib_error", "moves.urllib.error")
+
+
+class Module_six_moves_urllib_request(_LazyModule):
+
+    """Lazy loading of moved objects in six.moves.urllib_request"""
+
+
+_urllib_request_moved_attributes = [
+    MovedAttribute("urlopen", "urllib2", "urllib.request"),
+    MovedAttribute("install_opener", "urllib2", "urllib.request"),
+    MovedAttribute("build_opener", "urllib2", "urllib.request"),
+    MovedAttribute("pathname2url", "urllib", "urllib.request"),
+    MovedAttribute("url2pathname", "urllib", "urllib.request"),
+    MovedAttribute("getproxies", "urllib", "urllib.request"),
+    MovedAttribute("Request", "urllib2", "urllib.request"),
+    MovedAttribute("OpenerDirector", "urllib2", "urllib.request"),
+    MovedAttribute("HTTPDefaultErrorHandler", "urllib2", "urllib.request"),
+    MovedAttribute("HTTPRedirectHandler", "urllib2", "urllib.request"),
+    MovedAttribute("HTTPCookieProcessor", "urllib2", "urllib.request"),
+    MovedAttribute("ProxyHandler", "urllib2", "urllib.request"),
+    MovedAttribute("BaseHandler", "urllib2", "urllib.request"),
+    MovedAttribute("HTTPPasswordMgr", "urllib2", "urllib.request"),
+    MovedAttribute("HTTPPasswordMgrWithDefaultRealm", "urllib2", "urllib.request"),
+    MovedAttribute("AbstractBasicAuthHandler", "urllib2", "urllib.request"),
+    MovedAttribute("HTTPBasicAuthHandler", "urllib2", "urllib.request"),
+    MovedAttribute("ProxyBasicAuthHandler", "urllib2", "urllib.request"),
+    MovedAttribute("AbstractDigestAuthHandler", "urllib2", "urllib.request"),
+    MovedAttribute("HTTPDigestAuthHandler", "urllib2", "urllib.request"),
+    MovedAttribute("ProxyDigestAuthHandler", "urllib2", "urllib.request"),
+    MovedAttribute("HTTPHandler", "urllib2", "urllib.request"),
+    MovedAttribute("HTTPSHandler", "urllib2", "urllib.request"),
+    MovedAttribute("FileHandler", "urllib2", "urllib.request"),
+    MovedAttribute("FTPHandler", "urllib2", "urllib.request"),
+    MovedAttribute("CacheFTPHandler", "urllib2", "urllib.request"),
+    MovedAttribute("UnknownHandler", "urllib2", "urllib.request"),
+    MovedAttribute("HTTPErrorProcessor", "urllib2", "urllib.request"),
+    MovedAttribute("urlretrieve", "urllib", "urllib.request"),
+    MovedAttribute("urlcleanup", "urllib", "urllib.request"),
+    MovedAttribute("proxy_bypass", "urllib", "urllib.request"),
+    MovedAttribute("parse_http_list", "urllib2", "urllib.request"),
+    MovedAttribute("parse_keqv_list", "urllib2", "urllib.request"),
+]
+if sys.version_info[:2] < (3, 14):
+    _urllib_request_moved_attributes.extend(
+        [
+            MovedAttribute("URLopener", "urllib", "urllib.request"),
+            MovedAttribute("FancyURLopener", "urllib", "urllib.request"),
+        ]
+    )
+for attr in _urllib_request_moved_attributes:
+    setattr(Module_six_moves_urllib_request, attr.name, attr)
+del attr
+
+Module_six_moves_urllib_request._moved_attributes = _urllib_request_moved_attributes
+
+_importer._add_module(Module_six_moves_urllib_request(__name__ + ".moves.urllib.request"),
+                      "moves.urllib_request", "moves.urllib.request")
+
+
+class Module_six_moves_urllib_response(_LazyModule):
+
+    """Lazy loading of moved objects in six.moves.urllib_response"""
+
+
+_urllib_response_moved_attributes = [
+    MovedAttribute("addbase", "urllib", "urllib.response"),
+    MovedAttribute("addclosehook", "urllib", "urllib.response"),
+    MovedAttribute("addinfo", "urllib", "urllib.response"),
+    MovedAttribute("addinfourl", "urllib", "urllib.response"),
+]
+for attr in _urllib_response_moved_attributes:
+    setattr(Module_six_moves_urllib_response, attr.name, attr)
+del attr
+
+Module_six_moves_urllib_response._moved_attributes = _urllib_response_moved_attributes
+
+_importer._add_module(Module_six_moves_urllib_response(__name__ + ".moves.urllib.response"),
+                      "moves.urllib_response", "moves.urllib.response")
+
+
+class Module_six_moves_urllib_robotparser(_LazyModule):
+
+    """Lazy loading of moved objects in six.moves.urllib_robotparser"""
+
+
+_urllib_robotparser_moved_attributes = [
+    MovedAttribute("RobotFileParser", "robotparser", "urllib.robotparser"),
+]
+for attr in _urllib_robotparser_moved_attributes:
+    setattr(Module_six_moves_urllib_robotparser, attr.name, attr)
+del attr
+
+Module_six_moves_urllib_robotparser._moved_attributes = _urllib_robotparser_moved_attributes
+
+_importer._add_module(Module_six_moves_urllib_robotparser(__name__ + ".moves.urllib.robotparser"),
+                      "moves.urllib_robotparser", "moves.urllib.robotparser")
+
+
+class Module_six_moves_urllib(types.ModuleType):
+
+    """Create a six.moves.urllib namespace that resembles the Python 3 namespace"""
+    __path__ = []  # mark as package
+    parse = _importer._get_module("moves.urllib_parse")
+    error = _importer._get_module("moves.urllib_error")
+    request = _importer._get_module("moves.urllib_request")
+    response = _importer._get_module("moves.urllib_response")
+    robotparser = _importer._get_module("moves.urllib_robotparser")
+
+    def __dir__(self):
+        return ['parse', 'error', 'request', 'response', 'robotparser']
+
+_importer._add_module(Module_six_moves_urllib(__name__ + ".moves.urllib"),
+                      "moves.urllib")
+
+
+def add_move(move):
+    """Add an item to six.moves."""
+    setattr(_MovedItems, move.name, move)
+
+
+def remove_move(name):
+    """Remove item from six.moves."""
+    try:
+        delattr(_MovedItems, name)
+    except AttributeError:
+        try:
+            del moves.__dict__[name]
+        except KeyError:
+            raise AttributeError("no such move, %r" % (name,))
+
+
+if PY3:
+    _meth_func = "__func__"
+    _meth_self = "__self__"
+
+    _func_closure = "__closure__"
+    _func_code = "__code__"
+    _func_defaults = "__defaults__"
+    _func_globals = "__globals__"
+else:
+    _meth_func = "im_func"
+    _meth_self = "im_self"
+
+    _func_closure = "func_closure"
+    _func_code = "func_code"
+    _func_defaults = "func_defaults"
+    _func_globals = "func_globals"
+
+
+try:
+    advance_iterator = next
+except NameError:
+    def advance_iterator(it):
+        return it.next()
+next = advance_iterator
+
+
+try:
+    callable = callable
+except NameError:
+    def callable(obj):
+        return any("__call__" in klass.__dict__ for klass in type(obj).__mro__)
+
+
+if PY3:
+    def get_unbound_function(unbound):
+        return unbound
+
+    create_bound_method = types.MethodType
+
+    def create_unbound_method(func, cls):
+        return func
+
+    Iterator = object
+else:
+    def get_unbound_function(unbound):
+        return unbound.im_func
+
+    def create_bound_method(func, obj):
+        return types.MethodType(func, obj, obj.__class__)
+
+    def create_unbound_method(func, cls):
+        return types.MethodType(func, None, cls)
+
+    class Iterator(object):
+
+        def next(self):
+            return type(self).__next__(self)
+
+    callable = callable
+_add_doc(get_unbound_function,
+         """Get the function out of a possibly unbound function""")
+
+
+get_method_function = operator.attrgetter(_meth_func)
+get_method_self = operator.attrgetter(_meth_self)
+get_function_closure = operator.attrgetter(_func_closure)
+get_function_code = operator.attrgetter(_func_code)
+get_function_defaults = operator.attrgetter(_func_defaults)
+get_function_globals = operator.attrgetter(_func_globals)
+
+
+if PY3:
+    def iterkeys(d, **kw):
+        return iter(d.keys(**kw))
+
+    def itervalues(d, **kw):
+        return iter(d.values(**kw))
+
+    def iteritems(d, **kw):
+        return iter(d.items(**kw))
+
+    def iterlists(d, **kw):
+        return iter(d.lists(**kw))
+
+    viewkeys = operator.methodcaller("keys")
+
+    viewvalues = operator.methodcaller("values")
+
+    viewitems = operator.methodcaller("items")
+else:
+    def iterkeys(d, **kw):
+        return d.iterkeys(**kw)
+
+    def itervalues(d, **kw):
+        return d.itervalues(**kw)
+
+    def iteritems(d, **kw):
+        return d.iteritems(**kw)
+
+    def iterlists(d, **kw):
+        return d.iterlists(**kw)
+
+    viewkeys = operator.methodcaller("viewkeys")
+
+    viewvalues = operator.methodcaller("viewvalues")
+
+    viewitems = operator.methodcaller("viewitems")
+
+_add_doc(iterkeys, "Return an iterator over the keys of a dictionary.")
+_add_doc(itervalues, "Return an iterator over the values of a dictionary.")
+_add_doc(iteritems,
+         "Return an iterator over the (key, value) pairs of a dictionary.")
+_add_doc(iterlists,
+         "Return an iterator over the (key, [values]) pairs of a dictionary.")
+
+
+if PY3:
+    def b(s):
+        return s.encode("latin-1")
+
+    def u(s):
+        return s
+    unichr = chr
+    import struct
+    int2byte = struct.Struct(">B").pack
+    del struct
+    byte2int = operator.itemgetter(0)
+    indexbytes = operator.getitem
+    iterbytes = iter
+    import io
+    StringIO = io.StringIO
+    BytesIO = io.BytesIO
+    del io
+    _assertCountEqual = "assertCountEqual"
+    if sys.version_info[1] <= 1:
+        _assertRaisesRegex = "assertRaisesRegexp"
+        _assertRegex = "assertRegexpMatches"
+        _assertNotRegex = "assertNotRegexpMatches"
+    else:
+        _assertRaisesRegex = "assertRaisesRegex"
+        _assertRegex = "assertRegex"
+        _assertNotRegex = "assertNotRegex"
+else:
+    def b(s):
+        return s
+    # Workaround for standalone backslash
+
+    def u(s):
+        return unicode(s.replace(r'\\', r'\\\\'), "unicode_escape")
+    unichr = unichr
+    int2byte = chr
+
+    def byte2int(bs):
+        return ord(bs[0])
+
+    def indexbytes(buf, i):
+        return ord(buf[i])
+    iterbytes = functools.partial(itertools.imap, ord)
+    import StringIO
+    StringIO = BytesIO = StringIO.StringIO
+    _assertCountEqual = "assertItemsEqual"
+    _assertRaisesRegex = "assertRaisesRegexp"
+    _assertRegex = "assertRegexpMatches"
+    _assertNotRegex = "assertNotRegexpMatches"
+_add_doc(b, """Byte literal""")
+_add_doc(u, """Text literal""")
+
+
+def assertCountEqual(self, *args, **kwargs):
+    return getattr(self, _assertCountEqual)(*args, **kwargs)
+
+
+def assertRaisesRegex(self, *args, **kwargs):
+    return getattr(self, _assertRaisesRegex)(*args, **kwargs)
+
+
+def assertRegex(self, *args, **kwargs):
+    return getattr(self, _assertRegex)(*args, **kwargs)
+
+
+def assertNotRegex(self, *args, **kwargs):
+    return getattr(self, _assertNotRegex)(*args, **kwargs)
+
+
+if PY3:
+    exec_ = getattr(moves.builtins, "exec")
+
+    def reraise(tp, value, tb=None):
+        try:
+            if value is None:
+                value = tp()
+            if value.__traceback__ is not tb:
+                raise value.with_traceback(tb)
+            raise value
+        finally:
+            value = None
+            tb = None
+
+else:
+    def exec_(_code_, _globs_=None, _locs_=None):
+        """Execute code in a namespace."""
+        if _globs_ is None:
+            frame = sys._getframe(1)
+            _globs_ = frame.f_globals
+            if _locs_ is None:
+                _locs_ = frame.f_locals
+            del frame
+        elif _locs_ is None:
+            _locs_ = _globs_
+        exec("""exec _code_ in _globs_, _locs_""")
+
+    exec_("""def reraise(tp, value, tb=None):
+    try:
+        raise tp, value, tb
+    finally:
+        tb = None
+""")
+
+
+if sys.version_info[:2] > (3,):
+    exec_("""def raise_from(value, from_value):
+    try:
+        raise value from from_value
+    finally:
+        value = None
+""")
+else:
+    def raise_from(value, from_value):
+        raise value
+
+
+print_ = getattr(moves.builtins, "print", None)
+if print_ is None:
+    def print_(*args, **kwargs):
+        """The new-style print function for Python 2.4 and 2.5."""
+        fp = kwargs.pop("file", sys.stdout)
+        if fp is None:
+            return
+
+        def write(data):
+            if not isinstance(data, basestring):
+                data = str(data)
+            # If the file has an encoding, encode unicode with it.
+            if (isinstance(fp, file) and
+                    isinstance(data, unicode) and
+                    fp.encoding is not None):
+                errors = getattr(fp, "errors", None)
+                if errors is None:
+                    errors = "strict"
+                data = data.encode(fp.encoding, errors)
+            fp.write(data)
+        want_unicode = False
+        sep = kwargs.pop("sep", None)
+        if sep is not None:
+            if isinstance(sep, unicode):
+                want_unicode = True
+            elif not isinstance(sep, str):
+                raise TypeError("sep must be None or a string")
+        end = kwargs.pop("end", None)
+        if end is not None:
+            if isinstance(end, unicode):
+                want_unicode = True
+            elif not isinstance(end, str):
+                raise TypeError("end must be None or a string")
+        if kwargs:
+            raise TypeError("invalid keyword arguments to print()")
+        if not want_unicode:
+            for arg in args:
+                if isinstance(arg, unicode):
+                    want_unicode = True
+                    break
+        if want_unicode:
+            newline = unicode("\n")
+            space = unicode(" ")
+        else:
+            newline = "\n"
+            space = " "
+        if sep is None:
+            sep = space
+        if end is None:
+            end = newline
+        for i, arg in enumerate(args):
+            if i:
+                write(sep)
+            write(arg)
+        write(end)
+if sys.version_info[:2] < (3, 3):
+    _print = print_
+
+    def print_(*args, **kwargs):
+        fp = kwargs.get("file", sys.stdout)
+        flush = kwargs.pop("flush", False)
+        _print(*args, **kwargs)
+        if flush and fp is not None:
+            fp.flush()
+
+_add_doc(reraise, """Reraise an exception.""")
+
+if sys.version_info[0:2] < (3, 4):
+    # This does exactly the same what the :func:`py3:functools.update_wrapper`
+    # function does on Python versions after 3.2. It sets the ``__wrapped__``
+    # attribute on ``wrapper`` object and it doesn't raise an error if any of
+    # the attributes mentioned in ``assigned`` and ``updated`` are missing on
+    # ``wrapped`` object.
+    def _update_wrapper(wrapper, wrapped,
+                        assigned=functools.WRAPPER_ASSIGNMENTS,
+                        updated=functools.WRAPPER_UPDATES):
+        for attr in assigned:
+            try:
+                value = getattr(wrapped, attr)
+            except AttributeError:
+                continue
+            else:
+                setattr(wrapper, attr, value)
+        for attr in updated:
+            getattr(wrapper, attr).update(getattr(wrapped, attr, {}))
+        wrapper.__wrapped__ = wrapped
+        return wrapper
+    _update_wrapper.__doc__ = functools.update_wrapper.__doc__
+
+    def wraps(wrapped, assigned=functools.WRAPPER_ASSIGNMENTS,
+              updated=functools.WRAPPER_UPDATES):
+        return functools.partial(_update_wrapper, wrapped=wrapped,
+                                 assigned=assigned, updated=updated)
+    wraps.__doc__ = functools.wraps.__doc__
+
+else:
+    wraps = functools.wraps
+
+
+def with_metaclass(meta, *bases):
+    """Create a base class with a metaclass."""
+    # This requires a bit of explanation: the basic idea is to make a dummy
+    # metaclass for one level of class instantiation that replaces itself with
+    # the actual metaclass.
+    class metaclass(type):
+
+        def __new__(cls, name, this_bases, d):
+            if sys.version_info[:2] >= (3, 7):
+                # This version introduced PEP 560 that requires a bit
+                # of extra care (we mimic what is done by __build_class__).
+                resolved_bases = types.resolve_bases(bases)
+                if resolved_bases is not bases:
+                    d['__orig_bases__'] = bases
+            else:
+                resolved_bases = bases
+            return meta(name, resolved_bases, d)
+
+        @classmethod
+        def __prepare__(cls, name, this_bases):
+            return meta.__prepare__(name, bases)
+    return type.__new__(metaclass, 'temporary_class', (), {})
+
+
+def add_metaclass(metaclass):
+    """Class decorator for creating a class with a metaclass."""
+    def wrapper(cls):
+        orig_vars = cls.__dict__.copy()
+        slots = orig_vars.get('__slots__')
+        if slots is not None:
+            if isinstance(slots, str):
+                slots = [slots]
+            for slots_var in slots:
+                orig_vars.pop(slots_var)
+        orig_vars.pop('__dict__', None)
+        orig_vars.pop('__weakref__', None)
+        if hasattr(cls, '__qualname__'):
+            orig_vars['__qualname__'] = cls.__qualname__
+        return metaclass(cls.__name__, cls.__bases__, orig_vars)
+    return wrapper
+
+
+def ensure_binary(s, encoding='utf-8', errors='strict'):
+    """Coerce **s** to six.binary_type.
+
+    For Python 2:
+      - `unicode` -> encoded to `str`
+      - `str` -> `str`
+
+    For Python 3:
+      - `str` -> encoded to `bytes`
+      - `bytes` -> `bytes`
+    """
+    if isinstance(s, binary_type):
+        return s
+    if isinstance(s, text_type):
+        return s.encode(encoding, errors)
+    raise TypeError("not expecting type '%s'" % type(s))
+
+
+def ensure_str(s, encoding='utf-8', errors='strict'):
+    """Coerce *s* to `str`.
+
+    For Python 2:
+      - `unicode` -> encoded to `str`
+      - `str` -> `str`
+
+    For Python 3:
+      - `str` -> `str`
+      - `bytes` -> decoded to `str`
+    """
+    # Optimization: Fast return for the common case.
+    if type(s) is str:
+        return s
+    if PY2 and isinstance(s, text_type):
+        return s.encode(encoding, errors)
+    elif PY3 and isinstance(s, binary_type):
+        return s.decode(encoding, errors)
+    elif not isinstance(s, (text_type, binary_type)):
+        raise TypeError("not expecting type '%s'" % type(s))
+    return s
+
+
+def ensure_text(s, encoding='utf-8', errors='strict'):
+    """Coerce *s* to six.text_type.
+
+    For Python 2:
+      - `unicode` -> `unicode`
+      - `str` -> `unicode`
+
+    For Python 3:
+      - `str` -> `str`
+      - `bytes` -> decoded to `str`
+    """
+    if isinstance(s, binary_type):
+        return s.decode(encoding, errors)
+    elif isinstance(s, text_type):
+        return s
+    else:
+        raise TypeError("not expecting type '%s'" % type(s))
+
+
+def python_2_unicode_compatible(klass):
+    """
+    A class decorator that defines __unicode__ and __str__ methods under Python 2.
+    Under Python 3 it does nothing.
+
+    To support Python 2 and 3 with a single code base, define a __str__ method
+    returning text and apply this decorator to the class.
+    """
+    if PY2:
+        if '__str__' not in klass.__dict__:
+            raise ValueError("@python_2_unicode_compatible cannot be applied "
+                             "to %s because it doesn't define __str__()." %
+                             klass.__name__)
+        klass.__unicode__ = klass.__str__
+        klass.__str__ = lambda self: self.__unicode__().encode('utf-8')
+    return klass
+
+
+# Complete the moves implementation.
+# This code is at the end of this module to speed up module loading.
+# Turn this module into a package.
+__path__ = []  # required for PEP 302 and PEP 451
+__package__ = __name__  # see PEP 366 @ReservedAssignment
+if globals().get("__spec__") is not None:
+    __spec__.submodule_search_locations = []  # PEP 451 @UndefinedVariable
+# Remove other six meta path importers, since they cause problems. This can
+# happen if six is removed from sys.modules and then reloaded. (Setuptools does
+# this for some reason.)
+if sys.meta_path:
+    for i, importer in enumerate(sys.meta_path):
+        # Here's some real nastiness: Another "instance" of the six module might
+        # be floating around. Therefore, we can't use isinstance() to check for
+        # the six meta path importer, since the other six instance will have
+        # inserted an importer with different class.
+        if (type(importer).__name__ == "_SixMetaPathImporter" and
+                importer.name == __name__):
+            del sys.meta_path[i]
+            break
+    del i, importer
+# Finally, add the importer to the meta path import hook.
+sys.meta_path.append(_importer)

.venv/lib/python3.11/site-packages/threadpoolctl.py

@@ -0,0 +1,1292 @@
+"""threadpoolctl
+
+This module provides utilities to introspect native libraries that relies on
+thread pools (notably BLAS and OpenMP implementations) and dynamically set the
+maximal number of threads they can use.
+"""
+
+# License: BSD 3-Clause
+
+# The code to introspect dynamically loaded libraries on POSIX systems is
+# adapted from code by Intel developer @anton-malakhov available at
+# https://github.com/IntelPython/smp (Copyright (c) 2017, Intel Corporation)
+# and also published under the BSD 3-Clause license
+import os
+import re
+import sys
+import ctypes
+import itertools
+import textwrap
+from typing import final
+import warnings
+from ctypes.util import find_library
+from abc import ABC, abstractmethod
+from functools import lru_cache
+from contextlib import ContextDecorator
+
+__version__ = "3.6.0"
+__all__ = [
+    "threadpool_limits",
+    "threadpool_info",
+    "ThreadpoolController",
+    "LibController",
+    "register",
+]
+
+
+# One can get runtime errors or even segfaults due to multiple OpenMP libraries
+# loaded simultaneously which can happen easily in Python when importing and
+# using compiled extensions built with different compilers and therefore
+# different OpenMP runtimes in the same program. In particular libiomp (used by
+# Intel ICC) and libomp used by clang/llvm tend to crash. This can happen for
+# instance when calling BLAS inside a prange. Setting the following environment
+# variable allows multiple OpenMP libraries to be loaded. It should not degrade
+# performances since we manually take care of potential over-subscription
+# performance issues, in sections of the code where nested OpenMP loops can
+# happen, by dynamically reconfiguring the inner OpenMP runtime to temporarily
+# disable it while under the scope of the outer OpenMP parallel section.
+os.environ.setdefault("KMP_DUPLICATE_LIB_OK", "True")
+
+# Structure to cast the info on dynamically loaded library. See
+# https://linux.die.net/man/3/dl_iterate_phdr for more details.
+_SYSTEM_UINT = ctypes.c_uint64 if sys.maxsize > 2**32 else ctypes.c_uint32
+_SYSTEM_UINT_HALF = ctypes.c_uint32 if sys.maxsize > 2**32 else ctypes.c_uint16
+
+
+class _dl_phdr_info(ctypes.Structure):
+    _fields_ = [
+        ("dlpi_addr", _SYSTEM_UINT),  # Base address of object
+        ("dlpi_name", ctypes.c_char_p),  # path to the library
+        ("dlpi_phdr", ctypes.c_void_p),  # pointer on dlpi_headers
+        ("dlpi_phnum", _SYSTEM_UINT_HALF),  # number of elements in dlpi_phdr
+    ]
+
+
+# The RTLD_NOLOAD flag for loading shared libraries is not defined on Windows.
+try:
+    _RTLD_NOLOAD = os.RTLD_NOLOAD
+except AttributeError:
+    _RTLD_NOLOAD = ctypes.DEFAULT_MODE
+
+
+class LibController(ABC):
+    """Abstract base class for the individual library controllers
+
+    A library controller must expose the following class attributes:
+        - user_api : str
+            Usually the name of the library or generic specification the library
+            implements, e.g. "blas" is a specification with different implementations.
+        - internal_api : str
+            Usually the name of the library or concrete implementation of some
+            specification, e.g. "openblas" is an implementation of the "blas"
+            specification.
+        - filename_prefixes : tuple
+            Possible prefixes of the shared library's filename that allow to
+            identify the library. e.g. "libopenblas" for libopenblas.so.
+
+    and implement the following methods: `get_num_threads`, `set_num_threads` and
+    `get_version`.
+
+    Threadpoolctl loops through all the loaded shared libraries and tries to match
+    the filename of each library with the `filename_prefixes`. If a match is found, a
+    controller is instantiated and a handler to the library is stored in the `dynlib`
+    attribute as a `ctypes.CDLL` object. It can be used to access the necessary symbols
+    of the shared library to implement the above methods.
+
+    The following information will be exposed in the info dictionary:
+      - user_api : standardized API, if any, or a copy of internal_api.
+      - internal_api : implementation-specific API.
+      - num_threads : the current thread limit.
+      - prefix : prefix of the shared library's filename.
+      - filepath : path to the loaded shared library.
+      - version : version of the library (if available).
+
+    In addition, each library controller may expose internal API specific entries. They
+    must be set as attributes in the `set_additional_attributes` method.
+    """
+
+    @final
+    def __init__(self, *, filepath=None, prefix=None, parent=None):
+        """This is not meant to be overriden by subclasses."""
+        self.parent = parent
+        self.prefix = prefix
+        self.filepath = filepath
+        self.dynlib = ctypes.CDLL(filepath, mode=_RTLD_NOLOAD)
+        self._symbol_prefix, self._symbol_suffix = self._find_affixes()
+        self.version = self.get_version()
+        self.set_additional_attributes()
+
+    def info(self):
+        """Return relevant info wrapped in a dict"""
+        hidden_attrs = ("dynlib", "parent", "_symbol_prefix", "_symbol_suffix")
+        return {
+            "user_api": self.user_api,
+            "internal_api": self.internal_api,
+            "num_threads": self.num_threads,
+            **{k: v for k, v in vars(self).items() if k not in hidden_attrs},
+        }
+
+    def set_additional_attributes(self):
+        """Set additional attributes meant to be exposed in the info dict"""
+
+    @property
+    def num_threads(self):
+        """Exposes the current thread limit as a dynamic property
+
+        This is not meant to be used or overriden by subclasses.
+        """
+        return self.get_num_threads()
+
+    @abstractmethod
+    def get_num_threads(self):
+        """Return the maximum number of threads available to use"""
+
+    @abstractmethod
+    def set_num_threads(self, num_threads):
+        """Set the maximum number of threads to use"""
+
+    @abstractmethod
+    def get_version(self):
+        """Return the version of the shared library"""
+
+    def _find_affixes(self):
+        """Return the affixes for the symbols of the shared library"""
+        return "", ""
+
+    def _get_symbol(self, name):
+        """Return the symbol of the shared library accounding for the affixes"""
+        return getattr(
+            self.dynlib, f"{self._symbol_prefix}{name}{self._symbol_suffix}", None
+        )
+
+
+class OpenBLASController(LibController):
+    """Controller class for OpenBLAS"""
+
+    user_api = "blas"
+    internal_api = "openblas"
+    filename_prefixes = ("libopenblas", "libblas", "libscipy_openblas")
+
+    _symbol_prefixes = ("", "scipy_")
+    _symbol_suffixes = ("", "64_", "_64")
+
+    # All variations of "openblas_get_num_threads", accounting for the affixes
+    check_symbols = tuple(
+        f"{prefix}openblas_get_num_threads{suffix}"
+        for prefix, suffix in itertools.product(_symbol_prefixes, _symbol_suffixes)
+    )
+
+    def _find_affixes(self):
+        for prefix, suffix in itertools.product(
+            self._symbol_prefixes, self._symbol_suffixes
+        ):
+            if hasattr(self.dynlib, f"{prefix}openblas_get_num_threads{suffix}"):
+                return prefix, suffix
+
+    def set_additional_attributes(self):
+        self.threading_layer = self._get_threading_layer()
+        self.architecture = self._get_architecture()
+
+    def get_num_threads(self):
+        get_num_threads_func = self._get_symbol("openblas_get_num_threads")
+        if get_num_threads_func is not None:
+            return get_num_threads_func()
+        return None
+
+    def set_num_threads(self, num_threads):
+        set_num_threads_func = self._get_symbol("openblas_set_num_threads")
+        if set_num_threads_func is not None:
+            return set_num_threads_func(num_threads)
+        return None
+
+    def get_version(self):
+        # None means OpenBLAS is not loaded or version < 0.3.4, since OpenBLAS
+        # did not expose its version before that.
+        get_version_func = self._get_symbol("openblas_get_config")
+        if get_version_func is not None:
+            get_version_func.restype = ctypes.c_char_p
+            config = get_version_func().split()
+            if config[0] == b"OpenBLAS":
+                return config[1].decode("utf-8")
+            return None
+        return None
+
+    def _get_threading_layer(self):
+        """Return the threading layer of OpenBLAS"""
+        get_threading_layer_func = self._get_symbol("openblas_get_parallel")
+        if get_threading_layer_func is not None:
+            threading_layer = get_threading_layer_func()
+            if threading_layer == 2:
+                return "openmp"
+            elif threading_layer == 1:
+                return "pthreads"
+            return "disabled"
+        return "unknown"
+
+    def _get_architecture(self):
+        """Return the architecture detected by OpenBLAS"""
+        get_architecture_func = self._get_symbol("openblas_get_corename")
+        if get_architecture_func is not None:
+            get_architecture_func.restype = ctypes.c_char_p
+            return get_architecture_func().decode("utf-8")
+        return None
+
+
+class BLISController(LibController):
+    """Controller class for BLIS"""
+
+    user_api = "blas"
+    internal_api = "blis"
+    filename_prefixes = ("libblis", "libblas")
+    check_symbols = (
+        "bli_thread_get_num_threads",
+        "bli_thread_set_num_threads",
+        "bli_info_get_version_str",
+        "bli_info_get_enable_openmp",
+        "bli_info_get_enable_pthreads",
+        "bli_arch_query_id",
+        "bli_arch_string",
+    )
+
+    def set_additional_attributes(self):
+        self.threading_layer = self._get_threading_layer()
+        self.architecture = self._get_architecture()
+
+    def get_num_threads(self):
+        get_func = getattr(self.dynlib, "bli_thread_get_num_threads", lambda: None)
+        num_threads = get_func()
+        # by default BLIS is single-threaded and get_num_threads
+        # returns -1. We map it to 1 for consistency with other libraries.
+        return 1 if num_threads == -1 else num_threads
+
+    def set_num_threads(self, num_threads):
+        set_func = getattr(
+            self.dynlib, "bli_thread_set_num_threads", lambda num_threads: None
+        )
+        return set_func(num_threads)
+
+    def get_version(self):
+        get_version_ = getattr(self.dynlib, "bli_info_get_version_str", None)
+        if get_version_ is None:
+            return None
+
+        get_version_.restype = ctypes.c_char_p
+        return get_version_().decode("utf-8")
+
+    def _get_threading_layer(self):
+        """Return the threading layer of BLIS"""
+        if getattr(self.dynlib, "bli_info_get_enable_openmp", lambda: False)():
+            return "openmp"
+        elif getattr(self.dynlib, "bli_info_get_enable_pthreads", lambda: False)():
+            return "pthreads"
+        return "disabled"
+
+    def _get_architecture(self):
+        """Return the architecture detected by BLIS"""
+        bli_arch_query_id = getattr(self.dynlib, "bli_arch_query_id", None)
+        bli_arch_string = getattr(self.dynlib, "bli_arch_string", None)
+        if bli_arch_query_id is None or bli_arch_string is None:
+            return None
+
+        # the true restype should be BLIS' arch_t (enum) but int should work
+        # for us:
+        bli_arch_query_id.restype = ctypes.c_int
+        bli_arch_string.restype = ctypes.c_char_p
+        return bli_arch_string(bli_arch_query_id()).decode("utf-8")
+
+
+class FlexiBLASController(LibController):
+    """Controller class for FlexiBLAS"""
+
+    user_api = "blas"
+    internal_api = "flexiblas"
+    filename_prefixes = ("libflexiblas",)
+    check_symbols = (
+        "flexiblas_get_num_threads",
+        "flexiblas_set_num_threads",
+        "flexiblas_get_version",
+        "flexiblas_list",
+        "flexiblas_list_loaded",
+        "flexiblas_current_backend",
+    )
+
+    @property
+    def loaded_backends(self):
+        return self._get_backend_list(loaded=True)
+
+    @property
+    def current_backend(self):
+        return self._get_current_backend()
+
+    def info(self):
+        """Return relevant info wrapped in a dict"""
+        # We override the info method because the loaded and current backends
+        # are dynamic properties
+        exposed_attrs = super().info()
+        exposed_attrs["loaded_backends"] = self.loaded_backends
+        exposed_attrs["current_backend"] = self.current_backend
+
+        return exposed_attrs
+
+    def set_additional_attributes(self):
+        self.available_backends = self._get_backend_list(loaded=False)
+
+    def get_num_threads(self):
+        get_func = getattr(self.dynlib, "flexiblas_get_num_threads", lambda: None)
+        num_threads = get_func()
+        # by default BLIS is single-threaded and get_num_threads
+        # returns -1. We map it to 1 for consistency with other libraries.
+        return 1 if num_threads == -1 else num_threads
+
+    def set_num_threads(self, num_threads):
+        set_func = getattr(
+            self.dynlib, "flexiblas_set_num_threads", lambda num_threads: None
+        )
+        return set_func(num_threads)
+
+    def get_version(self):
+        get_version_ = getattr(self.dynlib, "flexiblas_get_version", None)
+        if get_version_ is None:
+            return None
+
+        major = ctypes.c_int()
+        minor = ctypes.c_int()
+        patch = ctypes.c_int()
+        get_version_(ctypes.byref(major), ctypes.byref(minor), ctypes.byref(patch))
+        return f"{major.value}.{minor.value}.{patch.value}"
+
+    def _get_backend_list(self, loaded=False):
+        """Return the list of available backends for FlexiBLAS.
+
+        If loaded is False, return the list of available backends from the FlexiBLAS
+        configuration. If loaded is True, return the list of actually loaded backends.
+        """
+        func_name = f"flexiblas_list{'_loaded' if loaded else ''}"
+        get_backend_list_ = getattr(self.dynlib, func_name, None)
+        if get_backend_list_ is None:
+            return None
+
+        n_backends = get_backend_list_(None, 0, 0)
+
+        backends = []
+        for i in range(n_backends):
+            backend_name = ctypes.create_string_buffer(1024)
+            get_backend_list_(backend_name, 1024, i)
+            if backend_name.value.decode("utf-8") != "__FALLBACK__":
+                # We don't know when to expect __FALLBACK__ but it is not a real
+                # backend and does not show up when running flexiblas list.
+                backends.append(backend_name.value.decode("utf-8"))
+        return backends
+
+    def _get_current_backend(self):
+        """Return the backend of FlexiBLAS"""
+        get_backend_ = getattr(self.dynlib, "flexiblas_current_backend", None)
+        if get_backend_ is None:
+            return None
+
+        backend = ctypes.create_string_buffer(1024)
+        get_backend_(backend, ctypes.sizeof(backend))
+        return backend.value.decode("utf-8")
+
+    def switch_backend(self, backend):
+        """Switch the backend of FlexiBLAS
+
+        Parameters
+        ----------
+        backend : str
+            The name or the path to the shared library of the backend to switch to. If
+            the backend is not already loaded, it will be loaded first.
+        """
+        if backend not in self.loaded_backends:
+            if backend in self.available_backends:
+                load_func = getattr(self.dynlib, "flexiblas_load_backend", lambda _: -1)
+            else:  # assume backend is a path to a shared library
+                load_func = getattr(
+                    self.dynlib, "flexiblas_load_backend_library", lambda _: -1
+                )
+            res = load_func(str(backend).encode("utf-8"))
+            if res == -1:
+                raise RuntimeError(
+                    f"Failed to load backend {backend!r}. It must either be the name of"
+                    " a backend available in the FlexiBLAS configuration "
+                    f"{self.available_backends} or the path to a valid shared library."
+                )
+
+            # Trigger a new search of loaded shared libraries since loading a new
+            # backend caused a dlopen.
+            self.parent._load_libraries()
+
+        switch_func = getattr(self.dynlib, "flexiblas_switch", lambda _: -1)
+        idx = self.loaded_backends.index(backend)
+        res = switch_func(idx)
+        if res == -1:
+            raise RuntimeError(f"Failed to switch to backend {backend!r}.")
+
+
+class MKLController(LibController):
+    """Controller class for MKL"""
+
+    user_api = "blas"
+    internal_api = "mkl"
+    filename_prefixes = ("libmkl_rt", "mkl_rt", "libblas")
+    check_symbols = (
+        "MKL_Get_Max_Threads",
+        "MKL_Set_Num_Threads",
+        "MKL_Get_Version_String",
+        "MKL_Set_Threading_Layer",
+    )
+
+    def set_additional_attributes(self):
+        self.threading_layer = self._get_threading_layer()
+
+    def get_num_threads(self):
+        get_func = getattr(self.dynlib, "MKL_Get_Max_Threads", lambda: None)
+        return get_func()
+
+    def set_num_threads(self, num_threads):
+        set_func = getattr(self.dynlib, "MKL_Set_Num_Threads", lambda num_threads: None)
+        return set_func(num_threads)
+
+    def get_version(self):
+        if not hasattr(self.dynlib, "MKL_Get_Version_String"):
+            return None
+
+        res = ctypes.create_string_buffer(200)
+        self.dynlib.MKL_Get_Version_String(res, 200)
+
+        version = res.value.decode("utf-8")
+        group = re.search(r"Version ([^ ]+) ", version)
+        if group is not None:
+            version = group.groups()[0]
+        return version.strip()
+
+    def _get_threading_layer(self):
+        """Return the threading layer of MKL"""
+        # The function mkl_set_threading_layer returns the current threading
+        # layer. Calling it with an invalid threading layer allows us to safely
+        # get the threading layer
+        set_threading_layer = getattr(
+            self.dynlib, "MKL_Set_Threading_Layer", lambda layer: -1
+        )
+        layer_map = {
+            0: "intel",
+            1: "sequential",
+            2: "pgi",
+            3: "gnu",
+            4: "tbb",
+            -1: "not specified",
+        }
+        return layer_map[set_threading_layer(-1)]
+
+
+class OpenMPController(LibController):
+    """Controller class for OpenMP"""
+
+    user_api = "openmp"
+    internal_api = "openmp"
+    filename_prefixes = ("libiomp", "libgomp", "libomp", "vcomp")
+    check_symbols = (
+        "omp_get_max_threads",
+        "omp_get_num_threads",
+    )
+
+    def get_num_threads(self):
+        get_func = getattr(self.dynlib, "omp_get_max_threads", lambda: None)
+        return get_func()
+
+    def set_num_threads(self, num_threads):
+        set_func = getattr(self.dynlib, "omp_set_num_threads", lambda num_threads: None)
+        return set_func(num_threads)
+
+    def get_version(self):
+        # There is no way to get the version number programmatically in OpenMP.
+        return None
+
+
+# Controllers for the libraries that we'll look for in the loaded libraries.
+# Third party libraries can register their own controllers.
+_ALL_CONTROLLERS = [
+    OpenBLASController,
+    BLISController,
+    MKLController,
+    OpenMPController,
+    FlexiBLASController,
+]
+
+# Helpers for the doc and test names
+_ALL_USER_APIS = list(set(lib.user_api for lib in _ALL_CONTROLLERS))
+_ALL_INTERNAL_APIS = [lib.internal_api for lib in _ALL_CONTROLLERS]
+_ALL_PREFIXES = list(
+    set(prefix for lib in _ALL_CONTROLLERS for prefix in lib.filename_prefixes)
+)
+_ALL_BLAS_LIBRARIES = [
+    lib.internal_api for lib in _ALL_CONTROLLERS if lib.user_api == "blas"
+]
+_ALL_OPENMP_LIBRARIES = OpenMPController.filename_prefixes
+
+
+def register(controller):
+    """Register a new controller"""
+    _ALL_CONTROLLERS.append(controller)
+    _ALL_USER_APIS.append(controller.user_api)
+    _ALL_INTERNAL_APIS.append(controller.internal_api)
+    _ALL_PREFIXES.extend(controller.filename_prefixes)
+
+
+def _format_docstring(*args, **kwargs):
+    def decorator(o):
+        if o.__doc__ is not None:
+            o.__doc__ = o.__doc__.format(*args, **kwargs)
+        return o
+
+    return decorator
+
+
+@lru_cache(maxsize=10000)
+def _realpath(filepath):
+    """Small caching wrapper around os.path.realpath to limit system calls"""
+    return os.path.realpath(filepath)
+
+
+@_format_docstring(USER_APIS=list(_ALL_USER_APIS), INTERNAL_APIS=_ALL_INTERNAL_APIS)
+def threadpool_info():
+    """Return the maximal number of threads for each detected library.
+
+    Return a list with all the supported libraries that have been found. Each
+    library is represented by a dict with the following information:
+
+      - "user_api" : user API. Possible values are {USER_APIS}.
+      - "internal_api": internal API. Possible values are {INTERNAL_APIS}.
+      - "prefix" : filename prefix of the specific implementation.
+      - "filepath": path to the loaded library.
+      - "version": version of the library (if available).
+      - "num_threads": the current thread limit.
+
+    In addition, each library may contain internal_api specific entries.
+    """
+    return ThreadpoolController().info()
+
+
+class _ThreadpoolLimiter:
+    """The guts of ThreadpoolController.limit
+
+    Refer to the docstring of ThreadpoolController.limit for more details.
+
+    It will only act on the library controllers held by the provided `controller`.
+    Using the default constructor sets the limits right away such that it can be used as
+    a callable. Setting the limits can be delayed by using the `wrap` class method such
+    that it can be used as a decorator.
+    """
+
+    def __init__(self, controller, *, limits=None, user_api=None):
+        self._controller = controller
+        self._limits, self._user_api, self._prefixes = self._check_params(
+            limits, user_api
+        )
+        self._original_info = self._controller.info()
+        self._set_threadpool_limits()
+
+    def __enter__(self):
+        return self
+
+    def __exit__(self, type, value, traceback):
+        self.restore_original_limits()
+
+    @classmethod
+    def wrap(cls, controller, *, limits=None, user_api=None):
+        """Return an instance of this class that can be used as a decorator"""
+        return _ThreadpoolLimiterDecorator(
+            controller=controller, limits=limits, user_api=user_api
+        )
+
+    def restore_original_limits(self):
+        """Set the limits back to their original values"""
+        for lib_controller, original_info in zip(
+            self._controller.lib_controllers, self._original_info
+        ):
+            lib_controller.set_num_threads(original_info["num_threads"])
+
+    # Alias of `restore_original_limits` for backward compatibility
+    unregister = restore_original_limits
+
+    def get_original_num_threads(self):
+        """Original num_threads from before calling threadpool_limits
+
+        Return a dict `{user_api: num_threads}`.
+        """
+        num_threads = {}
+        warning_apis = []
+
+        for user_api in self._user_api:
+            limits = [
+                lib_info["num_threads"]
+                for lib_info in self._original_info
+                if lib_info["user_api"] == user_api
+            ]
+            limits = set(limits)
+            n_limits = len(limits)
+
+            if n_limits == 1:
+                limit = limits.pop()
+            elif n_limits == 0:
+                limit = None
+            else:
+                limit = min(limits)
+                warning_apis.append(user_api)
+
+            num_threads[user_api] = limit
+
+        if warning_apis:
+            warnings.warn(
+                "Multiple value possible for following user apis: "
+                + ", ".join(warning_apis)
+                + ". Returning the minimum."
+            )
+
+        return num_threads
+
+    def _check_params(self, limits, user_api):
+        """Suitable values for the _limits, _user_api and _prefixes attributes"""
+
+        if isinstance(limits, str) and limits == "sequential_blas_under_openmp":
+            (
+                limits,
+                user_api,
+            ) = self._controller._get_params_for_sequential_blas_under_openmp().values()
+
+        if limits is None or isinstance(limits, int):
+            if user_api is None:
+                user_api = _ALL_USER_APIS
+            elif user_api in _ALL_USER_APIS:
+                user_api = [user_api]
+            else:
+                raise ValueError(
+                    f"user_api must be either in {_ALL_USER_APIS} or None. Got "
+                    f"{user_api} instead."
+                )
+
+            if limits is not None:
+                limits = {api: limits for api in user_api}
+            prefixes = []
+        else:
+            if isinstance(limits, list):
+                # This should be a list of dicts of library info, for
+                # compatibility with the result from threadpool_info.
+                limits = {
+                    lib_info["prefix"]: lib_info["num_threads"] for lib_info in limits
+                }
+            elif isinstance(limits, ThreadpoolController):
+                # To set the limits from the library controllers of a
+                # ThreadpoolController object.
+                limits = {
+                    lib_controller.prefix: lib_controller.num_threads
+                    for lib_controller in limits.lib_controllers
+                }
+
+            if not isinstance(limits, dict):
+                raise TypeError(
+                    "limits must either be an int, a list, a dict, or "
+                    f"'sequential_blas_under_openmp'. Got {type(limits)} instead"
+                )
+
+            # With a dictionary, can set both specific limit for given
+            # libraries and global limit for user_api. Fetch each separately.
+            prefixes = [prefix for prefix in limits if prefix in _ALL_PREFIXES]
+            user_api = [api for api in limits if api in _ALL_USER_APIS]
+
+        return limits, user_api, prefixes
+
+    def _set_threadpool_limits(self):
+        """Change the maximal number of threads in selected thread pools.
+
+        Return a list with all the supported libraries that have been found
+        matching `self._prefixes` and `self._user_api`.
+        """
+        if self._limits is None:
+            return
+
+        for lib_controller in self._controller.lib_controllers:
+            # self._limits is a dict {key: num_threads} where key is either
+            # a prefix or a user_api. If a library matches both, the limit
+            # corresponding to the prefix is chosen.
+            if lib_controller.prefix in self._limits:
+                num_threads = self._limits[lib_controller.prefix]
+            elif lib_controller.user_api in self._limits:
+                num_threads = self._limits[lib_controller.user_api]
+            else:
+                continue
+
+            if num_threads is not None:
+                lib_controller.set_num_threads(num_threads)
+
+
+class _ThreadpoolLimiterDecorator(_ThreadpoolLimiter, ContextDecorator):
+    """Same as _ThreadpoolLimiter but to be used as a decorator"""
+
+    def __init__(self, controller, *, limits=None, user_api=None):
+        self._limits, self._user_api, self._prefixes = self._check_params(
+            limits, user_api
+        )
+        self._controller = controller
+
+    def __enter__(self):
+        # we need to set the limits here and not in the __init__ because we want the
+        # limits to be set when calling the decorated function, not when creating the
+        # decorator.
+        self._original_info = self._controller.info()
+        self._set_threadpool_limits()
+        return self
+
+
+@_format_docstring(
+    USER_APIS=", ".join(f'"{api}"' for api in _ALL_USER_APIS),
+    BLAS_LIBS=", ".join(_ALL_BLAS_LIBRARIES),
+    OPENMP_LIBS=", ".join(_ALL_OPENMP_LIBRARIES),
+)
+class threadpool_limits(_ThreadpoolLimiter):
+    """Change the maximal number of threads that can be used in thread pools.
+
+    This object can be used either as a callable (the construction of this object
+    limits the number of threads), as a context manager in a `with` block to
+    automatically restore the original state of the controlled libraries when exiting
+    the block, or as a decorator through its `wrap` method.
+
+    Set the maximal number of threads that can be used in thread pools used in
+    the supported libraries to `limit`. This function works for libraries that
+    are already loaded in the interpreter and can be changed dynamically.
+
+    This effect is global and impacts the whole Python process. There is no thread level
+    isolation as these libraries do not offer thread-local APIs to configure the number
+    of threads to use in nested parallel calls.
+
+    Parameters
+    ----------
+    limits : int, dict, 'sequential_blas_under_openmp' or None (default=None)
+        The maximal number of threads that can be used in thread pools
+
+        - If int, sets the maximum number of threads to `limits` for each
+          library selected by `user_api`.
+
+        - If it is a dictionary `{{key: max_threads}}`, this function sets a
+          custom maximum number of threads for each `key` which can be either a
+          `user_api` or a `prefix` for a specific library.
+
+        - If 'sequential_blas_under_openmp', it will chose the appropriate `limits`
+          and `user_api` parameters for the specific use case of sequential BLAS
+          calls within an OpenMP parallel region. The `user_api` parameter is
+          ignored.
+
+        - If None, this function does not do anything.
+
+    user_api : {USER_APIS} or None (default=None)
+        APIs of libraries to limit. Used only if `limits` is an int.
+
+        - If "blas", it will only limit BLAS supported libraries ({BLAS_LIBS}).
+
+        - If "openmp", it will only limit OpenMP supported libraries
+          ({OPENMP_LIBS}). Note that it can affect the number of threads used
+          by the BLAS libraries if they rely on OpenMP.
+
+        - If None, this function will apply to all supported libraries.
+    """
+
+    def __init__(self, limits=None, user_api=None):
+        super().__init__(ThreadpoolController(), limits=limits, user_api=user_api)
+
+    @classmethod
+    def wrap(cls, limits=None, user_api=None):
+        return super().wrap(ThreadpoolController(), limits=limits, user_api=user_api)
+
+
+class ThreadpoolController:
+    """Collection of LibController objects for all loaded supported libraries
+
+    Attributes
+    ----------
+    lib_controllers : list of `LibController` objects
+        The list of library controllers of all loaded supported libraries.
+    """
+
+    # Cache for libc under POSIX and a few system libraries under Windows.
+    # We use a class level cache instead of an instance level cache because
+    # it's very unlikely that a shared library will be unloaded and reloaded
+    # during the lifetime of a program.
+    _system_libraries = dict()
+
+    def __init__(self):
+        self.lib_controllers = []
+        self._load_libraries()
+        self._warn_if_incompatible_openmp()
+
+    @classmethod
+    def _from_controllers(cls, lib_controllers):
+        new_controller = cls.__new__(cls)
+        new_controller.lib_controllers = lib_controllers
+        return new_controller
+
+    def info(self):
+        """Return lib_controllers info as a list of dicts"""
+        return [lib_controller.info() for lib_controller in self.lib_controllers]
+
+    def select(self, **kwargs):
+        """Return a ThreadpoolController containing a subset of its current
+        library controllers
+
+        It will select all libraries matching at least one pair (key, value) from kwargs
+        where key is an entry of the library info dict (like "user_api", "internal_api",
+        "prefix", ...) and value is the value or a list of acceptable values for that
+        entry.
+
+        For instance, `ThreadpoolController().select(internal_api=["blis", "openblas"])`
+        will select all library controllers whose internal_api is either "blis" or
+        "openblas".
+        """
+        for key, vals in kwargs.items():
+            kwargs[key] = [vals] if not isinstance(vals, list) else vals
+
+        lib_controllers = [
+            lib_controller
+            for lib_controller in self.lib_controllers
+            if any(
+                getattr(lib_controller, key, None) in vals
+                for key, vals in kwargs.items()
+            )
+        ]
+
+        return ThreadpoolController._from_controllers(lib_controllers)
+
+    def _get_params_for_sequential_blas_under_openmp(self):
+        """Return appropriate params to use for a sequential BLAS call in an OpenMP loop
+
+        This function takes into account the unexpected behavior of OpenBLAS with the
+        OpenMP threading layer.
+        """
+        if self.select(
+            internal_api="openblas", threading_layer="openmp"
+        ).lib_controllers:
+            return {"limits": None, "user_api": None}
+        return {"limits": 1, "user_api": "blas"}
+
+    @_format_docstring(
+        USER_APIS=", ".join('"{}"'.format(api) for api in _ALL_USER_APIS),
+        BLAS_LIBS=", ".join(_ALL_BLAS_LIBRARIES),
+        OPENMP_LIBS=", ".join(_ALL_OPENMP_LIBRARIES),
+    )
+    def limit(self, *, limits=None, user_api=None):
+        """Change the maximal number of threads that can be used in thread pools.
+
+        This function returns an object that can be used either as a callable (the
+        construction of this object limits the number of threads) or as a context
+        manager, in a `with` block to automatically restore the original state of the
+        controlled libraries when exiting the block.
+
+        Set the maximal number of threads that can be used in thread pools used in
+        the supported libraries to `limits`. This function works for libraries that
+        are already loaded in the interpreter and can be changed dynamically.
+
+        This effect is global and impacts the whole Python process. There is no thread
+        level isolation as these libraries do not offer thread-local APIs to configure
+        the number of threads to use in nested parallel calls.
+
+        Parameters
+        ----------
+        limits : int, dict, 'sequential_blas_under_openmp' or None (default=None)
+            The maximal number of threads that can be used in thread pools
+
+            - If int, sets the maximum number of threads to `limits` for each
+              library selected by `user_api`.
+
+            - If it is a dictionary `{{key: max_threads}}`, this function sets a
+              custom maximum number of threads for each `key` which can be either a
+              `user_api` or a `prefix` for a specific library.
+
+            - If 'sequential_blas_under_openmp', it will chose the appropriate `limits`
+              and `user_api` parameters for the specific use case of sequential BLAS
+              calls within an OpenMP parallel region. The `user_api` parameter is
+              ignored.
+
+            - If None, this function does not do anything.
+
+        user_api : {USER_APIS} or None (default=None)
+            APIs of libraries to limit. Used only if `limits` is an int.
+
+            - If "blas", it will only limit BLAS supported libraries ({BLAS_LIBS}).
+
+            - If "openmp", it will only limit OpenMP supported libraries
+              ({OPENMP_LIBS}). Note that it can affect the number of threads used
+              by the BLAS libraries if they rely on OpenMP.
+
+            - If None, this function will apply to all supported libraries.
+        """
+        return _ThreadpoolLimiter(self, limits=limits, user_api=user_api)
+
+    @_format_docstring(
+        USER_APIS=", ".join('"{}"'.format(api) for api in _ALL_USER_APIS),
+        BLAS_LIBS=", ".join(_ALL_BLAS_LIBRARIES),
+        OPENMP_LIBS=", ".join(_ALL_OPENMP_LIBRARIES),
+    )
+    def wrap(self, *, limits=None, user_api=None):
+        """Change the maximal number of threads that can be used in thread pools.
+
+        This function returns an object that can be used as a decorator.
+
+        Set the maximal number of threads that can be used in thread pools used in
+        the supported libraries to `limits`. This function works for libraries that
+        are already loaded in the interpreter and can be changed dynamically.
+
+        Parameters
+        ----------
+        limits : int, dict or None (default=None)
+            The maximal number of threads that can be used in thread pools
+
+            - If int, sets the maximum number of threads to `limits` for each
+              library selected by `user_api`.
+
+            - If it is a dictionary `{{key: max_threads}}`, this function sets a
+              custom maximum number of threads for each `key` which can be either a
+              `user_api` or a `prefix` for a specific library.
+
+            - If None, this function does not do anything.
+
+        user_api : {USER_APIS} or None (default=None)
+            APIs of libraries to limit. Used only if `limits` is an int.
+
+            - If "blas", it will only limit BLAS supported libraries ({BLAS_LIBS}).
+
+            - If "openmp", it will only limit OpenMP supported libraries
+              ({OPENMP_LIBS}). Note that it can affect the number of threads used
+              by the BLAS libraries if they rely on OpenMP.
+
+            - If None, this function will apply to all supported libraries.
+        """
+        return _ThreadpoolLimiter.wrap(self, limits=limits, user_api=user_api)
+
+    def __len__(self):
+        return len(self.lib_controllers)
+
+    def _load_libraries(self):
+        """Loop through loaded shared libraries and store the supported ones"""
+        if sys.platform == "darwin":
+            self._find_libraries_with_dyld()
+        elif sys.platform == "win32":
+            self._find_libraries_with_enum_process_module_ex()
+        elif "pyodide" in sys.modules:
+            self._find_libraries_pyodide()
+        else:
+            self._find_libraries_with_dl_iterate_phdr()
+
+    def _find_libraries_with_dl_iterate_phdr(self):
+        """Loop through loaded libraries and return binders on supported ones
+
+        This function is expected to work on POSIX system only.
+        This code is adapted from code by Intel developer @anton-malakhov
+        available at https://github.com/IntelPython/smp
+
+        Copyright (c) 2017, Intel Corporation published under the BSD 3-Clause
+        license
+        """
+        libc = self._get_libc()
+        if not hasattr(libc, "dl_iterate_phdr"):  # pragma: no cover
+            warnings.warn(
+                "Could not find dl_iterate_phdr in the C standard library.",
+                RuntimeWarning,
+            )
+            return []
+
+        # Callback function for `dl_iterate_phdr` which is called for every
+        # library loaded in the current process until it returns 1.
+        def match_library_callback(info, size, data):
+            # Get the path of the current library
+            filepath = info.contents.dlpi_name
+            if filepath:
+                filepath = filepath.decode("utf-8")
+
+                # Store the library controller if it is supported and selected
+                self._make_controller_from_path(filepath)
+            return 0
+
+        c_func_signature = ctypes.CFUNCTYPE(
+            ctypes.c_int,  # Return type
+            ctypes.POINTER(_dl_phdr_info),
+            ctypes.c_size_t,
+            ctypes.c_char_p,
+        )
+        c_match_library_callback = c_func_signature(match_library_callback)
+
+        data = ctypes.c_char_p(b"")
+        libc.dl_iterate_phdr(c_match_library_callback, data)
+
+    def _find_libraries_with_dyld(self):
+        """Loop through loaded libraries and return binders on supported ones
+
+        This function is expected to work on OSX system only
+        """
+        libc = self._get_libc()
+        if not hasattr(libc, "_dyld_image_count"):  # pragma: no cover
+            warnings.warn(
+                "Could not find _dyld_image_count in the C standard library.",
+                RuntimeWarning,
+            )
+            return []
+
+        n_dyld = libc._dyld_image_count()
+        libc._dyld_get_image_name.restype = ctypes.c_char_p
+
+        for i in range(n_dyld):
+            filepath = ctypes.string_at(libc._dyld_get_image_name(i))
+            filepath = filepath.decode("utf-8")
+
+            # Store the library controller if it is supported and selected
+            self._make_controller_from_path(filepath)
+
+    def _find_libraries_with_enum_process_module_ex(self):
+        """Loop through loaded libraries and return binders on supported ones
+
+        This function is expected to work on windows system only.
+        This code is adapted from code by Philipp Hagemeister @phihag available
+        at https://stackoverflow.com/questions/17474574
+        """
+        from ctypes.wintypes import DWORD, HMODULE, MAX_PATH
+
+        PROCESS_QUERY_INFORMATION = 0x0400
+        PROCESS_VM_READ = 0x0010
+
+        LIST_LIBRARIES_ALL = 0x03
+
+        ps_api = self._get_windll("Psapi")
+        kernel_32 = self._get_windll("kernel32")
+
+        h_process = kernel_32.OpenProcess(
+            PROCESS_QUERY_INFORMATION | PROCESS_VM_READ, False, os.getpid()
+        )
+        if not h_process:  # pragma: no cover
+            raise OSError(f"Could not open PID {os.getpid()}")
+
+        try:
+            buf_count = 256
+            needed = DWORD()
+            # Grow the buffer until it becomes large enough to hold all the
+            # module headers
+            while True:
+                buf = (HMODULE * buf_count)()
+                buf_size = ctypes.sizeof(buf)
+                if not ps_api.EnumProcessModulesEx(
+                    h_process,
+                    ctypes.byref(buf),
+                    buf_size,
+                    ctypes.byref(needed),
+                    LIST_LIBRARIES_ALL,
+                ):
+                    raise OSError("EnumProcessModulesEx failed")
+                if buf_size >= needed.value:
+                    break
+                buf_count = needed.value // (buf_size // buf_count)
+
+            count = needed.value // (buf_size // buf_count)
+            h_modules = map(HMODULE, buf[:count])
+
+            # Loop through all the module headers and get the library path
+            # Allocate a buffer for the path 10 times the size of MAX_PATH to take
+            # into account long path names.
+            max_path = 10 * MAX_PATH
+            buf = ctypes.create_unicode_buffer(max_path)
+            n_size = DWORD()
+            for h_module in h_modules:
+                # Get the path of the current module
+                if not ps_api.GetModuleFileNameExW(
+                    h_process, h_module, ctypes.byref(buf), ctypes.byref(n_size)
+                ):
+                    raise OSError("GetModuleFileNameEx failed")
+                filepath = buf.value
+
+                if len(filepath) == max_path:  # pragma: no cover
+                    warnings.warn(
+                        "Could not get the full path of a dynamic library (path too "
+                        "long). This library will be ignored and threadpoolctl might "
+                        "not be able to control or display information about all "
+                        f"loaded libraries. Here's the truncated path: {filepath!r}",
+                        RuntimeWarning,
+                    )
+                else:
+                    # Store the library controller if it is supported and selected
+                    self._make_controller_from_path(filepath)
+        finally:
+            kernel_32.CloseHandle(h_process)
+
+    def _find_libraries_pyodide(self):
+        """Pyodide specific implementation for finding loaded libraries.
+
+        Adapted from suggestion in https://github.com/joblib/threadpoolctl/pull/169#issuecomment-1946696449.
+
+        One day, we may have a simpler solution. libc dl_iterate_phdr needs to
+        be implemented in Emscripten and exposed in Pyodide, see
+        https://github.com/emscripten-core/emscripten/issues/21354 for more
+        details.
+        """
+        try:
+            from pyodide_js._module import LDSO
+        except ImportError:
+            warnings.warn(
+                "Unable to import LDSO from pyodide_js._module. This should never "
+                "happen."
+            )
+            return
+
+        for filepath in LDSO.loadedLibsByName.as_object_map():
+            # Some libraries are duplicated by Pyodide and do not exist in the
+            # filesystem, so we first check for the existence of the file. For
+            # more details, see
+            # https://github.com/joblib/threadpoolctl/pull/169#issuecomment-1947946728
+            if os.path.exists(filepath):
+                self._make_controller_from_path(filepath)
+
+    def _make_controller_from_path(self, filepath):
+        """Store a library controller if it is supported and selected"""
+        # Required to resolve symlinks
+        filepath = _realpath(filepath)
+        # `lower` required to take account of OpenMP dll case on Windows
+        # (vcomp, VCOMP, Vcomp, ...)
+        filename = os.path.basename(filepath).lower()
+
+        # Loop through supported libraries to find if this filename corresponds
+        # to a supported one.
+        for controller_class in _ALL_CONTROLLERS:
+            # check if filename matches a supported prefix
+            prefix = self._check_prefix(filename, controller_class.filename_prefixes)
+
+            # filename does not match any of the prefixes of the candidate
+            # library. move to next library.
+            if prefix is None:
+                continue
+
+            # workaround for BLAS libraries packaged by conda-forge on windows, which
+            # are all renamed "libblas.dll". We thus have to check to which BLAS
+            # implementation it actually corresponds looking for implementation
+            # specific symbols.
+            if prefix == "libblas":
+                if filename.endswith(".dll"):
+                    libblas = ctypes.CDLL(filepath, _RTLD_NOLOAD)
+                    if not any(
+                        hasattr(libblas, func)
+                        for func in controller_class.check_symbols
+                    ):
+                        continue
+                else:
+                    # We ignore libblas on other platforms than windows because there
+                    # might be a libblas dso comming with openblas for instance that
+                    # can't be used to instantiate a pertinent LibController (many
+                    # symbols are missing) and would create confusion by making a
+                    # duplicate entry in threadpool_info.
+                    continue
+
+            # filename matches a prefix. Now we check if the library has the symbols we
+            # are looking for. If none of the symbols exists, it's very likely not the
+            # expected library (e.g. a library having a common prefix with one of the
+            # our supported libraries). Otherwise, create and store the library
+            # controller.
+            lib_controller = controller_class(
+                filepath=filepath, prefix=prefix, parent=self
+            )
+
+            if filepath in (lib.filepath for lib in self.lib_controllers):
+                # We already have a controller for this library.
+                continue
+
+            if not hasattr(controller_class, "check_symbols") or any(
+                hasattr(lib_controller.dynlib, func)
+                for func in controller_class.check_symbols
+            ):
+                self.lib_controllers.append(lib_controller)
+
+    def _check_prefix(self, library_basename, filename_prefixes):
+        """Return the prefix library_basename starts with
+
+        Return None if none matches.
+        """
+        for prefix in filename_prefixes:
+            if library_basename.startswith(prefix):
+                return prefix
+        return None
+
+    def _warn_if_incompatible_openmp(self):
+        """Raise a warning if llvm-OpenMP and intel-OpenMP are both loaded"""
+        prefixes = [lib_controller.prefix for lib_controller in self.lib_controllers]
+        msg = textwrap.dedent(
+            """
+            Found Intel OpenMP ('libiomp') and LLVM OpenMP ('libomp') loaded at
+            the same time. Both libraries are known to be incompatible and this
+            can cause random crashes or deadlocks on Linux when loaded in the
+            same Python program.
+            Using threadpoolctl may cause crashes or deadlocks. For more
+            information and possible workarounds, please see
+                https://github.com/joblib/threadpoolctl/blob/master/multiple_openmp.md
+            """
+        )
+        if "libomp" in prefixes and "libiomp" in prefixes:
+            warnings.warn(msg, RuntimeWarning)
+
+    @classmethod
+    def _get_libc(cls):
+        """Load the lib-C for unix systems."""
+        libc = cls._system_libraries.get("libc")
+        if libc is None:
+            # Remark: If libc is statically linked or if Python is linked against an
+            # alternative implementation of libc like musl, find_library will return
+            # None and CDLL will load the main program itself which should contain the
+            # libc symbols. We still name it libc for convenience.
+            # If the main program does not contain the libc symbols, it's ok because
+            # we check their presence later anyway.
+            libc = ctypes.CDLL(find_library("c"), mode=_RTLD_NOLOAD)
+            cls._system_libraries["libc"] = libc
+        return libc
+
+    @classmethod
+    def _get_windll(cls, dll_name):
+        """Load a windows DLL"""
+        dll = cls._system_libraries.get(dll_name)
+        if dll is None:
+            dll = ctypes.WinDLL(f"{dll_name}.dll")
+            cls._system_libraries[dll_name] = dll
+        return dll
+
+
+def _main():
+    """Commandline interface to display thread-pool information and exit."""
+    import argparse
+    import importlib
+    import json
+    import sys
+
+    parser = argparse.ArgumentParser(
+        usage="python -m threadpoolctl -i numpy scipy.linalg xgboost",
+        description="Display thread-pool information and exit.",
+    )
+    parser.add_argument(
+        "-i",
+        "--import",
+        dest="modules",
+        nargs="*",
+        default=(),
+        help="Python modules to import before introspecting thread-pools.",
+    )
+    parser.add_argument(
+        "-c",
+        "--command",
+        help="a Python statement to execute before introspecting thread-pools.",
+    )
+
+    options = parser.parse_args(sys.argv[1:])
+    for module in options.modules:
+        try:
+            importlib.import_module(module, package=None)
+        except ImportError:
+            print("WARNING: could not import", module, file=sys.stderr)
+
+    if options.command:
+        exec(options.command)
+
+    print(json.dumps(threadpool_info(), indent=2))
+
+
+if __name__ == "__main__":
+    _main()

.venv/pyvenv.cfg

@@ -0,0 +1,5 @@
+home = /usr/bin
+include-system-site-packages = true
+version = 3.11.10
+executable = /usr/bin/python3.11
+command = /usr/bin/python3 -m venv --system-site-packages /workspace/.venv

.venv/share/jupyter/nbextensions/jupyter-js-widgets/extension.js.LICENSE.txt

@@ -0,0 +1,17 @@
+/*!
+ * is-plain-object <https://github.com/jonschlinkert/is-plain-object>
+ *
+ * Copyright (c) 2014-2017, Jon Schlinkert.
+ * Released under the MIT License.
+ */
+
+/*!
+ * jQuery JavaScript Library v3.7.1
+ * https://jquery.com/
+ *
+ * Copyright OpenJS Foundation and other contributors
+ * Released under the MIT license
+ * https://jquery.org/license
+ *
+ * Date: 2023-08-28T13:37Z
+ */

encoder/adapters.py

@@ -193,39 +193,20 @@ def adapt_da3_sam3(root=None, da3_path=None, sam3_path=None, **_):
 
 
 # ==========================================================================================
-# SegVGGT -- expects one deliberately boring NPZ export. SegVGGT's own query/pose decoding
-# stays in its runner; this adapter only groups already-world-space points by instance mask.
+# SegVGGT -- reads one deliberately boring NPZ export and groups already-world-space
+# points by instance mask. Model inference is intentionally outside the encoder package.
 # ==========================================================================================
 
 
-def adapt_segvggt(
-    root=None,
-    path=None,
-    video_path=None,
-    model_root=None,
-    checkpoint=None,
-    frame_count=32,
-    rebuild=False,
-    **_,
-):
-    """Run SegVGGT if needed, then translate its raw NPZ to canonical geometry."""
+def adapt_segvggt(root=None, path=None, **_):
+    """Translate an existing SegVGGT NPZ export to canonical geometry."""
     path = path or root
     if path is None:
         raise ValueError("SegVGGT cache path is required")
     if os.path.isdir(path):
         path = os.path.join(path, "geometry.npz")
-    if rebuild or not os.path.exists(path):
-        if not video_path:
-            raise FileNotFoundError(f"SegVGGT raw cache does not exist: {path}")
-        from segvggt_runner import run_segvggt
-
-        run_segvggt(
-            video_path=video_path,
-            output_path=path,
-            model_root=model_root,
-            checkpoint=checkpoint,
-            frame_count=frame_count,
-        )
+    if not os.path.exists(path):
+        raise FileNotFoundError(f"SegVGGT raw cache does not exist: {path}")
     d = np.load(path, allow_pickle=True)
     world, masks = (
         np.asarray(d["world_points"], np.float32),

encoder/config.py

@@ -14,13 +14,6 @@ VSI_ROOT = Path(os.environ.get("VSI_ROOT", "/root/data/VSI-Bench"))
 JSONL = Path(os.environ.get("VSI_JSONL", VSI_ROOT / "test.jsonl"))
 CACHE_ROOT = Path(os.environ.get("VSI_CACHE_ROOT", DATA_ROOT / "caches"))
 CODES_ROOT = Path(os.environ.get("VSI_CODES", DATA_ROOT / "spatial codes"))
-SEGVGGT_ROOT = Path(os.environ.get("VSI_SEGVGGT_ROOT", "/root/models/SegVGGT"))
-SEGVGGT_CHECKPOINT = Path(
-    os.environ.get(
-        "VSI_SEGVGGT_CHECKPOINT", SEGVGGT_ROOT / "checkpoint/segvggt_scannet200.pt"
-    )
-)
-
 VIDEO_DATASETS = ("scannet", "scannetpp", "arkitscenes")
 
 ADAPTERS = {

encoder/run.py

@@ -12,25 +12,15 @@ import config as C
 
 
 def _adapter_kwargs(scene: str, model: str) -> dict:
-    common = {
-        "scene": scene,
-        "video_path": C.video_path(scene),
-        "frame_count": C.FRAMES_PER_VIDEO,
-    }
     if model == "segvggt":
-        return {
-            **common,
-            "path": C.segvggt_cache_file(scene, model),
-            "model_root": str(C.SEGVGGT_ROOT),
-            "checkpoint": str(C.SEGVGGT_CHECKPOINT),
-        }
+        return {"scene": scene, "path": C.segvggt_cache_file(scene, model)}
     if model == "da3_sam3":
         return {
-            **common,
+            "scene": scene,
             "da3_path": C.da3_cache_file(scene, model),
             "sam3_path": C.sam3_cache_file(scene, model),
         }
-    return {**common, "root": C.model_cache_dir(model)}
+    return {"scene": scene, "root": C.model_cache_dir(model)}
 
 
 def cache_or_load(scene: str, model: str | None = None, rebuild: bool = False):

inference/__init__.py

@@ -0,0 +1 @@
+"""Model inference that produces raw geometry caches for the encoder."""

inference/adapters.py

@@ -0,0 +1,215 @@
+"""Model-specific inference adapters that write encoder-compatible raw caches."""
+
+from __future__ import annotations
+
+from abc import ABC, abstractmethod
+import os
+from pathlib import Path
+import sys
+
+import numpy as np
+
+
+class InferenceAdapter(ABC):
+    """Common interface implemented by every inference backend."""
+
+    output_suffix = ".npz"
+
+    @abstractmethod
+    def load_model(self, device: str) -> None:
+        """Load model state once for repeated scene inference."""
+
+    @abstractmethod
+    def run_scene(self, video_path: str, output_path: str, frame_count: int) -> None:
+        """Run one video and atomically write a raw encoder cache."""
+
+
+class SegVGGTAdapter(InferenceAdapter):
+    """SegVGGT inference producing the NPZ fields consumed by encoder/adapters.py."""
+
+    classes = """wall|floor|chair|table|door|couch|cabinet|shelf|desk|office chair|bed|pillow|sink|picture|window|toilet|bookshelf|monitor|curtain|book|armchair|coffee table|box|refrigerator|lamp|kitchen cabinet|towel|clothes|tv|nightstand|counter|dresser|stool|cushion|plant|ceiling|bathtub|end table|dining table|keyboard|bag|backpack|toilet paper|printer|tv stand|whiteboard|blanket|shower curtain|trash can|closet|stairs|microwave|stove|shoe|computer tower|bottle|bin|ottoman|bench|board|washing machine|mirror|copier|basket|sofa chair|file cabinet|fan|laptop|shower|paper|person|paper towel dispenser|oven|blinds|rack|plate|blackboard|piano|suitcase|rail|radiator|recycling bin|container|wardrobe|soap dispenser|telephone""".split(
+        "|"
+    )
+
+    def __init__(self, model_root=None, checkpoint=None):
+        self.model_root = Path(
+            model_root or os.environ.get("VSI_SEGVGGT_ROOT", "/root/models/SegVGGT")
+        )
+        self.checkpoint = Path(
+            checkpoint
+            or os.environ.get(
+                "VSI_SEGVGGT_CHECKPOINT",
+                self.model_root / "checkpoint/segvggt_scannet200.pt",
+            )
+        )
+        self.model = self.device = self.dtype = self.runtime = None
+
+    def load_model(self, device: str) -> None:
+        if not self.model_root.is_dir():
+            raise FileNotFoundError(f"SegVGGT repository not found: {self.model_root}")
+        if not self.checkpoint.is_file():
+            raise FileNotFoundError(f"SegVGGT checkpoint not found: {self.checkpoint}")
+        sys.path.insert(0, str(self.model_root))
+        try:
+            import torch
+            import torch.nn.functional as functional
+            from eval.instance_eval_common import predict_by_feat_instance
+            from hydra import compose, initialize_config_dir
+            from hydra.utils import instantiate
+            from segvggt.utils.geometry import (
+                closed_form_inverse_se3,
+                unproject_depth_map_to_point_map,
+            )
+            from segvggt.utils.pose_enc import pose_encoding_to_extri_intri
+        except ImportError as exc:
+            raise RuntimeError(
+                f"missing SegVGGT dependency ({exc}); install {self.model_root}/requirements.txt"
+            ) from exc
+        self.device = torch.device(device)
+        if self.device.type == "cuda" and not torch.cuda.is_available():
+            raise RuntimeError("CUDA worker requested but CUDA is unavailable")
+        self.dtype = (
+            torch.bfloat16
+            if self.device.type == "cpu"
+            or torch.cuda.get_device_capability(self.device)[0] >= 8
+            else torch.float16
+        )
+        with initialize_config_dir(
+            version_base=None, config_dir=str(self.model_root / "configs/eval")
+        ):
+            config = compose(config_name="segvggt_scannet200")
+        model = instantiate(config.model, _recursive_=False)
+        state = torch.load(self.checkpoint, map_location="cpu")
+        model.load_state_dict(
+            state["model"] if "model" in state else state, strict=False
+        )
+        self.model = model.to(self.device).to(self.dtype).eval()
+        self.runtime = (
+            torch,
+            functional,
+            predict_by_feat_instance,
+            unproject_depth_map_to_point_map,
+            closed_form_inverse_se3,
+            pose_encoding_to_extri_intri,
+        )
+
+    @staticmethod
+    def _read_video(path, frame_count):
+        import cv2
+
+        capture = cv2.VideoCapture(path)
+        if not capture.isOpened():
+            raise RuntimeError(f"cannot open video: {path}")
+        try:
+            fps = capture.get(cv2.CAP_PROP_FPS) or 1.0
+            total = int(capture.get(cv2.CAP_PROP_FRAME_COUNT))
+            if total < frame_count:
+                raise ValueError(
+                    f"{path} has {total} frames; {frame_count} are required"
+                )
+            indices = np.linspace(0, total - 1, frame_count, dtype=int)
+            frames = []
+            for index in indices:
+                capture.set(cv2.CAP_PROP_POS_FRAMES, int(index))
+                ok, frame = capture.read()
+                if not ok:
+                    raise RuntimeError(f"failed reading frame {index} from {path}")
+                frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+                height, width = frame.shape[:2]
+                new_height = max(14, round(height * 518 / width / 14) * 14)
+                frame = cv2.resize(
+                    frame, (518, new_height), interpolation=cv2.INTER_LANCZOS4
+                )
+                if new_height > 518:
+                    offset = (new_height - 518) // 2
+                    frame = frame[offset : offset + 518]
+                frames.append(frame)
+        finally:
+            capture.release()
+        return np.stack(frames), indices.astype(np.float32) / fps
+
+    def run_scene(self, video_path, output_path, frame_count):
+        if self.model is None or self.runtime is None:
+            raise RuntimeError("load_model() must be called before run_scene()")
+        torch, functional, predict, unproject, inverse, decode_pose = self.runtime
+        frames, times = self._read_video(video_path, frame_count)
+        images = (
+            torch.from_numpy(frames)
+            .permute(0, 3, 1, 2)
+            .float()
+            .div_(255)
+            .unsqueeze(0)
+            .to(self.device)
+        )
+        with (
+            torch.no_grad(),
+            torch.autocast(device_type=self.device.type, dtype=self.dtype),
+        ):
+            prediction = self.model(images)
+        logits = prediction["instance_maps"][0]
+        query_count, frame_total, height, width = logits.shape
+        masks, labels, _ = predict(
+            prediction["instance_labels"][0],
+            logits.reshape(query_count, -1),
+            mask_thr=float(os.environ.get("VSI_MASK_THR", "0.4")),
+            npoint_thr=1,
+        )
+        masks = masks.reshape(-1, frame_total, height, width).detach().cpu().numpy()
+        labels = labels.detach().cpu().numpy()
+        depth = prediction["depth"][0].float().cpu()
+        extrinsics, intrinsics = decode_pose(
+            prediction["pose_enc"].float(), depth.shape[1:3]
+        )
+        extrinsics = extrinsics[0].detach().cpu().numpy()
+        intrinsics = intrinsics[0].detach().cpu().numpy()
+        world = unproject(depth.numpy(), extrinsics, intrinsics)
+        world = (
+            functional.interpolate(
+                torch.from_numpy(world).permute(0, 3, 1, 2),
+                (height, width),
+                mode="nearest",
+            )
+            .permute(0, 2, 3, 1)
+            .numpy()
+        )
+        cameras = inverse(extrinsics)[:, :3, 3]
+        keep = [index for index, label in enumerate(labels) if int(label) >= 2]
+        names = np.asarray(
+            [
+                self.classes[int(labels[index])]
+                if int(labels[index]) < len(self.classes)
+                else f"class {int(labels[index])}"
+                for index in keep
+            ],
+            dtype=object,
+        )
+        output = Path(output_path)
+        output.parent.mkdir(parents=True, exist_ok=True)
+        temporary = output.with_suffix(output.suffix + ".tmp.npz")
+        np.savez_compressed(
+            temporary,
+            world_points=world.astype(np.float32),
+            instance_masks=masks[keep].astype(bool),
+            labels=names,
+            frame_times=times,
+            camera_positions=cameras.astype(np.float32),
+        )
+        os.replace(temporary, output)
+
+
+_ADAPTERS = {"segvggt": SegVGGTAdapter}
+
+
+def available_models():
+    """Return registered model names in stable order."""
+    return tuple(sorted(_ADAPTERS))
+
+
+def get_adapter(model, **config):
+    """Create one unloaded adapter for ``model``."""
+    adapter_type = _ADAPTERS.get(model)
+    if adapter_type is None:
+        raise KeyError(
+            f"unknown inference model {model!r}; expected one of {available_models()}"
+        )
+    return adapter_type(**config)

inference/launch.py

@@ -0,0 +1,160 @@
+"""Keep every visible GPU busy with persistent model-inference workers."""
+
+from __future__ import annotations
+
+import argparse
+import importlib.util
+import json
+import multiprocessing as mp
+import os
+from pathlib import Path
+import subprocess
+import sys
+import traceback
+
+HERE = Path(__file__).resolve().parent
+WORKSPACE_ROOT = HERE.parent
+ENCODER_ROOT = WORKSPACE_ROOT / "encoder"
+for path in (WORKSPACE_ROOT, ENCODER_ROOT):
+    if str(path) not in sys.path:
+        sys.path.insert(0, str(path))
+
+from inference import adapters  # noqa: E402
+import config as encoder_config  # noqa: E402
+
+
+def _load_run_module():
+    spec = importlib.util.spec_from_file_location("_inference_run", HERE / "run.py")
+    module = importlib.util.module_from_spec(spec)
+    sys.modules[spec.name] = module
+    spec.loader.exec_module(module)
+    return module
+
+
+def scenes():
+    """Return unique manifest scenes in their original order."""
+    with open(encoder_config.JSONL) as manifest:
+        return list(
+            dict.fromkeys(str(json.loads(line)["scene_name"]) for line in manifest)
+        )
+
+
+def visible_gpus():
+    """Return configured or hardware-discovered GPU identifiers."""
+    configured = os.environ.get("CUDA_VISIBLE_DEVICES")
+    if configured is not None:
+        return [
+            value.strip()
+            for value in configured.split(",")
+            if value.strip() and value.strip() != "-1"
+        ]
+    try:
+        output = subprocess.check_output(
+            ["nvidia-smi", "--query-gpu=index", "--format=csv,noheader"],
+            text=True,
+            stderr=subprocess.DEVNULL,
+        )
+        return [line.strip() for line in output.splitlines() if line.strip()]
+    except (FileNotFoundError, subprocess.SubprocessError):
+        return []
+
+
+def _worker(tasks, results, model, frame_count, rebuild, gpu, cpu_threads):
+    if gpu is not None:
+        os.environ["CUDA_VISIBLE_DEVICES"] = str(gpu)
+    for variable in ("OMP_NUM_THREADS", "MKL_NUM_THREADS", "OPENBLAS_NUM_THREADS"):
+        os.environ[variable] = str(cpu_threads)
+    run = _load_run_module()
+    adapter = None
+    load_error = None
+    try:
+        adapter = adapters.get_adapter(model)
+        adapter.load_model("cuda:0" if gpu is not None else "cpu")
+    except Exception:
+        load_error = traceback.format_exc()
+    while True:
+        scene = tasks.get()
+        if scene is None:
+            return
+        if load_error is not None:
+            results.put((scene, False, load_error))
+            continue
+        try:
+            status, path = run.run_scene(
+                scene, model, frame_count, rebuild, adapter=adapter
+            )
+            results.put((scene, True, f"{status} -> {path}"))
+        except Exception:
+            results.put((scene, False, traceback.format_exc()))
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("scene", nargs="?")
+    parser.add_argument(
+        "--model", default="segvggt", choices=adapters.available_models()
+    )
+    parser.add_argument("--frames", type=int, default=encoder_config.FRAMES_PER_VIDEO)
+    parser.add_argument("--rebuild", action="store_true")
+    args = parser.parse_args()
+    selected = [args.scene] if args.scene else scenes()
+    pending = [
+        scene
+        for scene in selected
+        if args.rebuild
+        or not Path(_load_run_module().output_path(scene, args.model)).is_file()
+    ]
+    skipped = len(selected) - len(pending)
+    if not pending:
+        print(f"DONE: 0 built, {skipped} skipped, 0 failed")
+        return
+    gpus = visible_gpus()
+    worker_count = min(len(pending), len(gpus) if gpus else 1)
+    assignments = gpus[:worker_count] if gpus else [None]
+    cpu_threads = max(1, (os.cpu_count() or 1) // worker_count)
+    print(
+        f"starting {worker_count} persistent worker(s); GPUs={assignments}; CPU threads={cpu_threads}"
+    )
+    context = mp.get_context("spawn")
+    tasks, results = context.Queue(), context.Queue()
+    for scene in pending:
+        tasks.put(scene)
+    for _ in range(worker_count):
+        tasks.put(None)
+    workers = [
+        context.Process(
+            target=_worker,
+            args=(
+                tasks,
+                results,
+                args.model,
+                args.frames,
+                args.rebuild,
+                gpu,
+                cpu_threads,
+            ),
+        )
+        for gpu in assignments
+    ]
+    for worker in workers:
+        worker.start()
+    failed = []
+    for completed in range(1, len(pending) + 1):
+        scene, ok, detail = results.get()
+        if not ok:
+            failed.append(scene)
+        print(
+            f"[{completed}/{len(pending)}] {scene}: {'done' if ok else 'FAILED'}\n{detail}",
+            flush=True,
+        )
+    for worker in workers:
+        worker.join()
+    print(
+        f"DONE: {len(pending) - len(failed)} built, {skipped} skipped, {len(failed)} failed"
+    )
+    if failed:
+        raise SystemExit(1)
+
+
+if __name__ == "__main__":
+    main()

inference/run.py

@@ -0,0 +1,57 @@
+"""Run one model adapter for one scene and write its raw cache."""
+
+from __future__ import annotations
+
+import argparse
+from pathlib import Path
+import sys
+
+HERE = Path(__file__).resolve().parent
+WORKSPACE_ROOT = HERE.parent
+ENCODER_ROOT = WORKSPACE_ROOT / "encoder"
+for path in (WORKSPACE_ROOT, ENCODER_ROOT):
+    if str(path) not in sys.path:
+        sys.path.insert(0, str(path))
+
+from inference import adapters  # noqa: E402
+import config as encoder_config  # noqa: E402
+
+
+def output_path(scene, model):
+    """Return the flat raw-cache path for one scene and model."""
+    return str(Path(encoder_config.model_cache_dir(model)) / f"{scene}.npz")
+
+
+def run_scene(
+    scene, model="segvggt", frame_count=None, rebuild=False, adapter=None, device=None
+):
+    """Run one scene, optionally reusing an adapter already loaded by a batch worker."""
+    destination = output_path(scene, model)
+    if Path(destination).is_file() and not rebuild:
+        return "skipped", destination
+    frame_count = frame_count or encoder_config.FRAMES_PER_VIDEO
+    if adapter is None:
+        adapter = adapters.get_adapter(model)
+        adapter.load_model(device or "cuda")
+    adapter.run_scene(encoder_config.video_path(scene), destination, frame_count)
+    return "built", destination
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("scene")
+    parser.add_argument(
+        "--model", default="segvggt", choices=adapters.available_models()
+    )
+    parser.add_argument("--frames", type=int, default=encoder_config.FRAMES_PER_VIDEO)
+    parser.add_argument("--device", default="cuda")
+    parser.add_argument("--rebuild", action="store_true")
+    args = parser.parse_args()
+    status, path = run_scene(
+        args.scene, args.model, args.frames, args.rebuild, device=args.device
+    )
+    print(f"[{args.scene}] model={args.model} cache={status} path={path}")
+
+
+if __name__ == "__main__":
+    main()

setup.sh

@@ -11,29 +11,42 @@ HF_CACHE="/root/hf-cache"
 HF_TMP="/root/hf-tmp"
 SEGVGGT_DIR="$MODELS_ROOT/SegVGGT"
 REQUIREMENTS="$SEGVGGT_DIR/requirements.txt"
+VENV="/root/.venv"
 
 mkdir -p "$DATA_ROOT" "$MODELS_ROOT" "$HF_CACHE" "$HF_TMP"
-mkdir -p /workspace/data/spatial_codes /workspace/data/caches
 
 echo "Installing system packages..."
 apt-get update
-apt-get install -y git git-lfs ffmpeg rsync python3-pip
+apt-get install -y \
+  git \
+  git-lfs \
+  ffmpeg \
+  rsync \
+  python3-pip \
+  python3-venv
 
 git lfs install
-python -m pip install --upgrade pip setuptools wheel huggingface_hub
+
+/usr/bin/python3 -m pip install \
+  --upgrade \
+  --break-system-packages \
+  pip setuptools wheel huggingface_hub
 
 if [ ! -d "$DATA_ROOT/thinking-in-space/.git" ]; then
   echo "Cloning thinking-in-space..."
-  git clone https://github.com/vision-x-nyu/thinking-in-space.git \
+  git clone \
+    https://github.com/vision-x-nyu/thinking-in-space.git \
     "$DATA_ROOT/thinking-in-space"
 else
   echo "Updating thinking-in-space..."
   git -C "$DATA_ROOT/thinking-in-space" pull --ff-only
 fi
 
-if [ ! -d "$DATA_ROOT/VSI-Bench" ] || [ -z "$(ls -A "$DATA_ROOT/VSI-Bench" 2>/dev/null)" ]; then
+if [ ! -d "$DATA_ROOT/VSI-Bench" ] || \
+   [ -z "$(ls -A "$DATA_ROOT/VSI-Bench" 2>/dev/null)" ]; then
   echo "Downloading VSI-Bench..."
   mkdir -p "$DATA_ROOT/VSI-Bench"
+
   HF_HOME="$HF_CACHE" \
   TMPDIR="$HF_TMP" \
   HF_HUB_DISABLE_XET=1 \
@@ -46,7 +59,9 @@ fi
 
 if [ ! -d "$SEGVGGT_DIR/.git" ]; then
   echo "Cloning SegVGGT..."
-  git clone https://github.com/IDEA-Research/SegVGGT.git "$SEGVGGT_DIR"
+  git clone \
+    https://github.com/IDEA-Research/SegVGGT.git \
+    "$SEGVGGT_DIR"
 else
   echo "Updating existing SegVGGT checkout..."
   git -C "$SEGVGGT_DIR" fetch origin
@@ -54,66 +69,61 @@ else
 fi
 
 if [ ! -f "$REQUIREMENTS" ]; then
-  echo "ERROR: requirements file not found: $REQUIREMENTS" >&2
+  echo "ERROR: requirements.txt not found at:"
+  echo "$REQUIREMENTS"
   exit 1
 fi
 
-echo "Requirements file being installed: $REQUIREMENTS"
 echo "----- requirements.txt -----"
 cat "$REQUIREMENTS"
 echo "----------------------------"
 
-echo "Installing every SegVGGT requirement..."
-python -m pip install --upgrade --no-cache-dir -r "$REQUIREMENTS"
-
-echo "Checking dependency consistency..."
-python -m pip check
-
-echo "Verifying every named distribution in requirements.txt is installed..."
-REQUIREMENTS="$REQUIREMENTS" python - <<'PY'
-import os
-import re
-import sys
-from importlib import metadata
-from pathlib import Path
-
-req_path = Path(os.environ["REQUIREMENTS"])
-missing = []
-checked = []
-
-for raw_line in req_path.read_text().splitlines():
-    line = raw_line.strip()
-    if not line or line.startswith("#") or line.startswith(("-r", "--", "git+", "http://", "https://")):
-        continue
-
-    # Extract the distribution name before version markers, extras, or environment markers.
-    name = re.split(r"[<>=!~;\[]", line, maxsplit=1)[0].strip()
-    if not name:
-        continue
-
-    checked.append(name)
-    try:
-        metadata.version(name)
-    except metadata.PackageNotFoundError:
-        missing.append(name)
-
-if missing:
-    print("ERROR: These requirements are still missing:", ", ".join(missing), file=sys.stderr)
-    sys.exit(1)
-
-print(f"Verified {len(checked)} installed distributions.")
-PY
-
-# Explicitly test the import that previously failed.
-python - <<'PY'
+echo "Recreating Python environment..."
+rm -rf "$VENV"
+
+/usr/bin/python3 -m venv "$VENV"
+
+"$VENV/bin/python" -m pip install \
+  --upgrade \
+  pip setuptools wheel
+
+echo "Installing SegVGGT PyTorch versions..."
+"$VENV/bin/python" -m pip install \
+  --no-cache-dir \
+  torch==2.3.1 torchvision==0.18.1 \
+  --index-url https://download.pytorch.org/whl/cu121
+
+echo "Installing SegVGGT requirements..."
+"$VENV/bin/python" -m pip install \
+  --no-cache-dir \
+  -r "$REQUIREMENTS"
+
+echo "Verifying packages and CUDA..."
+"$VENV/bin/python" -m pip check
+"$VENV/bin/python" - <<'VERIFY'
+import torch
+import torchvision
 import cv2
-print("OpenCV import successful:", cv2.__version__)
-PY
+import hydra
+import omegaconf
+
+assert torch.__version__.startswith("2.3.1"), torch.__version__
+assert torchvision.__version__.startswith("0.18.1"), torchvision.__version__
+assert torch.cuda.is_available(), "CUDA is unavailable"
+
+print("Torch:", torch.__version__)
+print("Torchvision:", torchvision.__version__)
+print("CUDA:", torch.version.cuda)
+print("GPU:", torch.cuda.get_device_name(0))
+print("OpenCV:", cv2.__version__)
+print("Verification passed.")
+VERIFY
 
 CHECKPOINT="$SEGVGGT_DIR/checkpoint/segvggt_scannet200.pt"
 
 if [ ! -f "$CHECKPOINT" ]; then
   echo "Downloading SegVGGT ScanNet200 checkpoint..."
+
   HF_HOME="$HF_CACHE" \
   TMPDIR="$HF_TMP" \
   HF_HUB_DISABLE_XET=1 \
@@ -125,28 +135,15 @@ else
   echo "SegVGGT checkpoint already exists; skipping download."
 fi
 
-echo "Creating compatibility symlinks..."
-ln -sfn "$DATA_ROOT/thinking-in-space" /workspace/data/thinking-in-space
-ln -sfn "$DATA_ROOT/VSI-Bench" /workspace/data/VSI-Bench
-
-# Do not replace a real /workspace/models directory with a symlink.
-if [ -L /workspace/models ]; then
-  ln -sfn "$MODELS_ROOT" /workspace/models
-elif [ ! -e /workspace/models ]; then
-  ln -s "$MODELS_ROOT" /workspace/models
-else
-  echo "/workspace/models already exists as a real directory; leaving it unchanged."
-  ln -sfn "$SEGVGGT_DIR" /workspace/models/SegVGGT
-fi
 
 echo
 echo "=== Setup complete ==="
 echo "thinking-in-space: $DATA_ROOT/thinking-in-space"
-echo "VSI-Bench:        $DATA_ROOT/VSI-Bench"
-echo "SegVGGT:          $SEGVGGT_DIR"
-echo "Requirements:     $REQUIREMENTS"
-echo "Checkpoint:       $CHECKPOINT"
+echo "VSI-Bench:         $DATA_ROOT/VSI-Bench"
+echo "SegVGGT:           $SEGVGGT_DIR"
+echo "Requirements:      $REQUIREMENTS"
+echo "Checkpoint:        $CHECKPOINT"
+echo "Virtual env:       $VENV"
 echo
-python -m pip show opencv-python || true
-python -m pip show opencv-python-headless || true
-df -h /
+
+df -h

tests/encoder_tests/test_adapters.py

@@ -1,3 +1,6 @@
+import gzip
+import pickle
+
 import numpy as np
 import pytest
 
@@ -57,6 +60,41 @@ def test_adapt_segvggt_reads_flat_npz(tmp_path):
     assert result["stats"]["chair"] == {"raw": 1, "merged": 1, "peak": 1}
 
 
-def test_adapt_segvggt_requires_cache_or_video(tmp_path):
+def test_adapt_segvggt_requires_existing_cache(tmp_path):
     with pytest.raises(FileNotFoundError, match="raw cache does not exist"):
         adapters.adapt_segvggt(path=str(tmp_path / "missing.npz"))
+
+
+def test_adapt_segvggt_rejects_missing_npz_fields(tmp_path):
+    path = tmp_path / "broken.npz"
+    np.savez(path, labels=np.array(["chair"], dtype=object))
+    with pytest.raises(KeyError):
+        adapters.adapt_segvggt(path=str(path))
+
+
+def test_adapt_da3_sam3_decodes_masks_and_backprojects(tmp_path):
+    da3_path = tmp_path / "scene.da3.npz"
+    depth = np.full((1, 2, 2), 2.0, np.float32)
+    intrinsics = np.eye(3, dtype=np.float32)[None]
+    poses = np.eye(4, dtype=np.float32)[None]
+    np.savez(
+        da3_path,
+        depth=depth,
+        intr=intrinsics,
+        c2w=poses,
+        frame_times=np.array([1.5], np.float32),
+    )
+    mask = np.array([[True, False], [False, True]])
+    packed = {"chair": {0: {7: (np.packbits(mask), mask.shape)}}}
+    mask_path = tmp_path / "scene.sam3.pkl.gz"
+    with gzip.open(mask_path, "wb") as cache:
+        pickle.dump(packed, cache)
+
+    result = adapters.adapt_da3_sam3(da3_path=str(da3_path), sam3_path=str(mask_path))
+
+    instance = result["instances"]["chair"][0]
+    assert instance["frames"] == {0}
+    assert instance["first_time"] == pytest.approx(1.5)
+    np.testing.assert_allclose(instance["pts"], [[0, 0, 2], [2, 2, 2]])
+    assert result["stats"]["chair"] == {"raw": 1, "merged": 1, "peak": 1}
+    assert result["raw_inputs"]["per"]["chair"][0][7].dtype == bool

tests/encoder_tests/test_geometry_primitives.py

@@ -0,0 +1,70 @@
+import numpy as np
+import pytest
+
+import geometric
+
+
+def test_backproject_frame_applies_intrinsics_pose_and_confidence():
+    depth = np.array([[2.0, 2.0], [2.0, np.nan]], np.float32)
+    mask = np.ones((2, 2), bool)
+    intrinsics = np.eye(3, dtype=np.float32)
+    pose = np.eye(4, dtype=np.float32)
+    pose[0, 3] = 1.0
+    confidence = np.array([[0.9, 0.8], [0.1, 1.0]], np.float32)
+
+    points, kept_confidence = geometric.backproject_frame(
+        depth, intrinsics, pose, mask, confidence, conf_thr=0.5, return_conf=True
+    )
+
+    np.testing.assert_allclose(points, [[1.0, 0.0, 2.0], [3.0, 0.0, 2.0]])
+    np.testing.assert_allclose(kept_confidence, [0.9, 0.8])
+
+
+def test_backproject_frame_returns_typed_empty_array():
+    points = geometric.backproject_frame(
+        np.zeros((2, 2), np.float32), np.eye(3), np.eye(4), np.ones((2, 2), bool)
+    )
+    assert points.shape == (0, 3)
+    assert points.dtype == np.float32
+
+
+def test_relative_direction_modes():
+    origin = np.array([0.0, 0.0, 0.0])
+    forward = np.array([0.0, 1.0, 0.0])
+    front_left = np.array([-1.0, 1.0, 0.0])
+    up = np.array([0.0, 0.0, 1.0])
+    assert (
+        geometric.answer_rel_direction(origin, forward, front_left, up, 2)
+        == "front-left"
+    )
+    assert (
+        geometric.answer_rel_direction(origin, forward, front_left, up, 2, "medium")
+        == "left"
+    )
+    assert geometric.answer_rel_direction(origin, origin, front_left, up, 2) is None
+
+
+def test_closest_distance_uses_point_cloud_distance():
+    first = [{"pts": np.array([[0.0, 0.0, 0.0]], np.float32), "n": 1}]
+    second = [{"pts": np.array([[0.0, 3.0, 4.0]], np.float32), "n": 1}]
+    assert geometric.answer_closest_distance(first, second) == pytest.approx(5.0)
+
+
+def test_robust_centroid_extent_returns_sorted_dimensions():
+    points = np.array(
+        [[x, y, z] for x in (-2.0, 2.0) for y in (-1.0, 1.0) for z in (-0.5, 0.5)],
+        np.float32,
+    )
+    centroid, longest, dimensions = geometric.robust_centroid_extent(points, up_axis=2)
+    np.testing.assert_allclose(centroid, [0.0, 0.0, 0.0])
+    assert longest > 3.0
+    assert np.all(dimensions[:-1] >= dimensions[1:])
+
+
+def test_depth_edges_handles_small_and_discontinuous_frames():
+    small = np.ones((5, 5), np.float32)
+    assert not geometric.depth_edges(small, np.ones_like(small, bool)).any()
+    depth = np.ones((20, 20), np.float32)
+    depth[:, 10:] = 10.0
+    edges = geometric.depth_edges(depth, np.ones_like(depth, bool))
+    assert edges[:, 9:11].any()

tests/encoder_tests/test_launch.py

@@ -1,4 +1,7 @@
 import json
+import sys
+
+import pytest
 
 import config as C
 import launch
@@ -24,3 +27,23 @@ def test_visible_gpus_falls_back_to_nvidia_smi(monkeypatch):
         launch.subprocess, "check_output", lambda *args, **kwargs: "0\n1\n"
     )
     assert launch._visible_gpus() == ["0", "1"]
+
+
+def test_main_skips_existing_spatial_codes(tmp_path, monkeypatch, capsys):
+    manifest = tmp_path / "test.jsonl"
+    manifest.write_text('{"scene_name": "s1"}\n')
+    codes = tmp_path / "codes"
+    codes.mkdir()
+    (codes / "s1.json").write_text("{}")
+    monkeypatch.setattr(C, "JSONL", manifest)
+    monkeypatch.setattr(C, "CODES_ROOT", codes)
+    monkeypatch.setattr(sys, "argv", ["launch.py"])
+    monkeypatch.setattr(
+        launch.mp, "get_context", lambda *args: pytest.fail("workers should not start")
+    )
+
+    launch.main()
+
+    output = capsys.readouterr().out
+    assert "s1: skipped" in output
+    assert "DONE: 1 ok, 0 failed" in output

tests/inference_tests/conftest.py

@@ -0,0 +1,9 @@
+"""Import paths for inference tests."""
+
+from pathlib import Path
+import sys
+
+ROOT = Path(__file__).resolve().parents[2]
+for path in (ROOT, ROOT / "encoder"):
+    if str(path) not in sys.path:
+        sys.path.insert(0, str(path))

tests/inference_tests/test_adapter_runtime.py

@@ -0,0 +1,84 @@
+import numpy as np
+import pytest
+
+from inference import adapters
+
+
+def test_load_model_validates_repository_and_checkpoint(tmp_path):
+    adapter = adapters.SegVGGTAdapter(model_root=tmp_path / "missing")
+    with pytest.raises(FileNotFoundError, match="repository not found"):
+        adapter.load_model("cpu")
+    model_root = tmp_path / "model"
+    model_root.mkdir()
+    adapter = adapters.SegVGGTAdapter(
+        model_root=model_root, checkpoint=tmp_path / "missing.pt"
+    )
+    with pytest.raises(FileNotFoundError, match="checkpoint not found"):
+        adapter.load_model("cpu")
+
+
+def test_run_scene_requires_loaded_model(tmp_path):
+    adapter = adapters.SegVGGTAdapter()
+    with pytest.raises(RuntimeError, match=r"load_model\(\)"):
+        adapter.run_scene("video.mp4", tmp_path / "scene.npz", 1)
+
+
+def test_read_video_rejects_unopenable_file():
+    with pytest.raises(RuntimeError, match="cannot open video"):
+        adapters.SegVGGTAdapter._read_video("/missing/video.mp4", 1)
+
+
+def test_run_scene_writes_expected_npz_atomically(tmp_path, monkeypatch):
+    torch = pytest.importorskip("torch")
+    adapter = adapters.SegVGGTAdapter()
+    adapter.device = torch.device("cpu")
+    adapter.dtype = torch.bfloat16
+    frames = np.zeros((1, 2, 2, 3), np.uint8)
+    monkeypatch.setattr(
+        adapter,
+        "_read_video",
+        lambda path, count: (frames, np.array([0.25], np.float32)),
+    )
+
+    class Model:
+        def __call__(self, images):
+            return {
+                "instance_maps": torch.zeros((1, 2, 1, 2, 2)),
+                "instance_labels": torch.zeros((1, 2, 3)),
+                "depth": torch.ones((1, 1, 2, 2)),
+                "pose_enc": torch.zeros((1, 1, 4)),
+            }
+
+    def predict(labels, logits, **kwargs):
+        masks = torch.tensor([[1, 0, 0, 0], [0, 1, 0, 0]], dtype=torch.bool)
+        return masks, torch.tensor([0, 2]), None
+
+    def decode_pose(pose, shape):
+        return torch.eye(4).reshape(1, 1, 4, 4), torch.eye(3).reshape(1, 1, 3, 3)
+
+    def unproject(depth, extrinsics, intrinsics):
+        return np.zeros((1, 2, 2, 3), np.float32)
+
+    def inverse(extrinsics):
+        return np.eye(4, dtype=np.float32)[None]
+
+    adapter.model = Model()
+    adapter.runtime = (
+        torch,
+        torch.nn.functional,
+        predict,
+        unproject,
+        inverse,
+        decode_pose,
+    )
+    output = tmp_path / "nested" / "scene.npz"
+    adapter.run_scene("video.mp4", output, 1)
+
+    assert output.is_file()
+    assert not output.with_suffix(".npz.tmp.npz").exists()
+    with np.load(output, allow_pickle=True) as cache:
+        assert cache["world_points"].shape == (1, 2, 2, 3)
+        assert cache["instance_masks"].shape == (1, 1, 2, 2)
+        assert cache["labels"].tolist() == ["chair"]
+        assert cache["frame_times"].tolist() == pytest.approx([0.25])
+        assert cache["camera_positions"].shape == (1, 3)

tests/inference_tests/test_gpu_integration.py

@@ -0,0 +1,37 @@
+"""Optional real-model validation; enable with VSI_RUN_GPU_TESTS=1."""
+
+import json
+import os
+
+import numpy as np
+import pytest
+
+from inference import adapters
+from inference import run
+
+
+@pytest.mark.skipif(
+    os.environ.get("VSI_RUN_GPU_TESTS") != "1",
+    reason="set VSI_RUN_GPU_TESTS=1 to run real SegVGGT inference",
+)
+def test_real_segvggt_scene_writes_encoder_compatible_cache(tmp_path):
+    with open(run.encoder_config.JSONL) as manifest:
+        scene = str(json.loads(next(manifest))["scene_name"])
+    adapter = adapters.get_adapter("segvggt")
+    adapter.load_model("cuda:0")
+    output = tmp_path / f"{scene}.npz"
+    adapter.run_scene(
+        run.encoder_config.video_path(scene),
+        str(output),
+        run.encoder_config.FRAMES_PER_VIDEO,
+    )
+    with np.load(output, allow_pickle=True) as cache:
+        assert set(cache.files) == {
+            "world_points",
+            "instance_masks",
+            "labels",
+            "frame_times",
+            "camera_positions",
+        }
+        assert cache["world_points"].shape[-1] == 3
+        assert cache["instance_masks"].dtype == bool

tests/inference_tests/test_launch_runtime.py

@@ -0,0 +1,128 @@
+from queue import Queue
+from types import SimpleNamespace
+import sys
+
+import pytest
+
+from inference import launch
+from inference import run
+
+
+class FakeAdapter:
+    def __init__(self, load_error=None):
+        self.load_error = load_error
+        self.load_calls = []
+
+    def load_model(self, device):
+        self.load_calls.append(device)
+        if self.load_error:
+            raise self.load_error
+
+
+def _queues(*scenes):
+    tasks, results = Queue(), Queue()
+    for scene in scenes:
+        tasks.put(scene)
+    tasks.put(None)
+    return tasks, results
+
+
+def test_worker_loads_adapter_once_and_reuses_it(monkeypatch):
+    adapter = FakeAdapter()
+    calls = []
+    fake_run = SimpleNamespace(
+        run_scene=lambda scene, model, frames, rebuild, adapter: (
+            calls.append(scene) or ("built", f"/{scene}.npz")
+        )
+    )
+    monkeypatch.setattr(launch.adapters, "get_adapter", lambda model: adapter)
+    monkeypatch.setattr(launch, "_load_run_module", lambda: fake_run)
+    tasks, results = _queues("s1", "s2")
+
+    launch._worker(tasks, results, "segvggt", 32, False, "3", 2)
+
+    assert adapter.load_calls == ["cuda:0"]
+    assert calls == ["s1", "s2"]
+    assert results.get() == ("s1", True, "built -> /s1.npz")
+    assert results.get() == ("s2", True, "built -> /s2.npz")
+
+
+def test_worker_reports_model_load_failure_for_every_scene(monkeypatch):
+    adapter = FakeAdapter(RuntimeError("load failed"))
+    monkeypatch.setattr(launch.adapters, "get_adapter", lambda model: adapter)
+    monkeypatch.setattr(launch, "_load_run_module", lambda: SimpleNamespace())
+    tasks, results = _queues("s1", "s2")
+
+    launch._worker(tasks, results, "segvggt", 32, False, None, 1)
+
+    for expected in ("s1", "s2"):
+        scene, ok, detail = results.get()
+        assert scene == expected and not ok
+        assert "load failed" in detail
+    assert adapter.load_calls == ["cpu"]
+
+
+def test_worker_reports_scene_failure_and_continues(monkeypatch):
+    adapter = FakeAdapter()
+
+    def run_scene(scene, *args, **kwargs):
+        if scene == "bad":
+            raise ValueError("broken scene")
+        return "built", f"/{scene}.npz"
+
+    monkeypatch.setattr(launch.adapters, "get_adapter", lambda model: adapter)
+    monkeypatch.setattr(
+        launch, "_load_run_module", lambda: SimpleNamespace(run_scene=run_scene)
+    )
+    tasks, results = _queues("bad", "good")
+
+    launch._worker(tasks, results, "segvggt", 32, False, None, 1)
+
+    first, second = results.get(), results.get()
+    assert first[0:2] == ("bad", False) and "broken scene" in first[2]
+    assert second == ("good", True, "built -> /good.npz")
+
+
+def test_run_scene_rebuild_overwrites_existing_cache(tmp_path, monkeypatch):
+    monkeypatch.setattr(run.encoder_config, "CACHE_ROOT", tmp_path)
+    monkeypatch.setattr(run.encoder_config, "video_path", lambda scene: f"/{scene}.mp4")
+    destination = tmp_path / "segvggt" / "s1.npz"
+    destination.parent.mkdir()
+    destination.write_bytes(b"old")
+    calls = []
+    adapter = SimpleNamespace(
+        run_scene=lambda *args: calls.append(args) or destination.write_bytes(b"new")
+    )
+
+    status, _ = run.run_scene("s1", rebuild=True, adapter=adapter)
+
+    assert status == "built"
+    assert destination.read_bytes() == b"new"
+    assert len(calls) == 1
+
+
+def test_visible_gpus_falls_back_to_nvidia_smi(monkeypatch):
+    monkeypatch.delenv("CUDA_VISIBLE_DEVICES", raising=False)
+    monkeypatch.setattr(
+        launch.subprocess, "check_output", lambda *args, **kwargs: "0\n2\n"
+    )
+    assert launch.visible_gpus() == ["0", "2"]
+
+
+def test_launch_main_skips_all_existing_caches(tmp_path, monkeypatch, capsys):
+    cache = tmp_path / "s1.npz"
+    cache.touch()
+    monkeypatch.setattr(launch, "scenes", lambda: ["s1"])
+    monkeypatch.setattr(
+        launch,
+        "_load_run_module",
+        lambda: SimpleNamespace(output_path=lambda *args: str(cache)),
+    )
+    monkeypatch.setattr(sys, "argv", ["launch.py"])
+    monkeypatch.setattr(
+        launch.mp, "get_context", lambda *args: pytest.fail("workers should not start")
+    )
+
+    launch.main()
+
+    assert "DONE: 0 built, 1 skipped, 0 failed" in capsys.readouterr().out