Add files using upload-large-folder tool

llmeval-env/lib/python3.10/site-packages/setuptools/_distutils/command/bdist_msi.py

@@ -0,0 +1,749 @@
+# Copyright (C) 2005, 2006 Martin von Löwis
+# Licensed to PSF under a Contributor Agreement.
+# The bdist_wininst command proper
+# based on bdist_wininst
+"""
+Implements the bdist_msi command.
+"""
+
+import os
+import sys
+import warnings
+from distutils.core import Command
+from distutils.dir_util import remove_tree
+from distutils.sysconfig import get_python_version
+from distutils.version import StrictVersion
+from distutils.errors import DistutilsOptionError
+from distutils.util import get_platform
+from distutils import log
+import msilib
+from msilib import schema, sequence, text
+from msilib import Directory, Feature, Dialog, add_data
+
+class PyDialog(Dialog):
+    """Dialog class with a fixed layout: controls at the top, then a ruler,
+    then a list of buttons: back, next, cancel. Optionally a bitmap at the
+    left."""
+    def __init__(self, *args, **kw):
+        """Dialog(database, name, x, y, w, h, attributes, title, first,
+        default, cancel, bitmap=true)"""
+        Dialog.__init__(self, *args)
+        ruler = self.h - 36
+        bmwidth = 152*ruler/328
+        #if kw.get("bitmap", True):
+        #    self.bitmap("Bitmap", 0, 0, bmwidth, ruler, "PythonWin")
+        self.line("BottomLine", 0, ruler, self.w, 0)
+
+    def title(self, title):
+        "Set the title text of the dialog at the top."
+        # name, x, y, w, h, flags=Visible|Enabled|Transparent|NoPrefix,
+        # text, in VerdanaBold10
+        self.text("Title", 15, 10, 320, 60, 0x30003,
+                  r"{\VerdanaBold10}%s" % title)
+
+    def back(self, title, next, name = "Back", active = 1):
+        """Add a back button with a given title, the tab-next button,
+        its name in the Control table, possibly initially disabled.
+
+        Return the button, so that events can be associated"""
+        if active:
+            flags = 3 # Visible|Enabled
+        else:
+            flags = 1 # Visible
+        return self.pushbutton(name, 180, self.h-27 , 56, 17, flags, title, next)
+
+    def cancel(self, title, next, name = "Cancel", active = 1):
+        """Add a cancel button with a given title, the tab-next button,
+        its name in the Control table, possibly initially disabled.
+
+        Return the button, so that events can be associated"""
+        if active:
+            flags = 3 # Visible|Enabled
+        else:
+            flags = 1 # Visible
+        return self.pushbutton(name, 304, self.h-27, 56, 17, flags, title, next)
+
+    def next(self, title, next, name = "Next", active = 1):
+        """Add a Next button with a given title, the tab-next button,
+        its name in the Control table, possibly initially disabled.
+
+        Return the button, so that events can be associated"""
+        if active:
+            flags = 3 # Visible|Enabled
+        else:
+            flags = 1 # Visible
+        return self.pushbutton(name, 236, self.h-27, 56, 17, flags, title, next)
+
+    def xbutton(self, name, title, next, xpos):
+        """Add a button with a given title, the tab-next button,
+        its name in the Control table, giving its x position; the
+        y-position is aligned with the other buttons.
+
+        Return the button, so that events can be associated"""
+        return self.pushbutton(name, int(self.w*xpos - 28), self.h-27, 56, 17, 3, title, next)
+
+class bdist_msi(Command):
+
+    description = "create a Microsoft Installer (.msi) binary distribution"
+
+    user_options = [('bdist-dir=', None,
+                     "temporary directory for creating the distribution"),
+                    ('plat-name=', 'p',
+                     "platform name to embed in generated filenames "
+                     "(default: %s)" % get_platform()),
+                    ('keep-temp', 'k',
+                     "keep the pseudo-installation tree around after " +
+                     "creating the distribution archive"),
+                    ('target-version=', None,
+                     "require a specific python version" +
+                     " on the target system"),
+                    ('no-target-compile', 'c',
+                     "do not compile .py to .pyc on the target system"),
+                    ('no-target-optimize', 'o',
+                     "do not compile .py to .pyo (optimized) "
+                     "on the target system"),
+                    ('dist-dir=', 'd',
+                     "directory to put final built distributions in"),
+                    ('skip-build', None,
+                     "skip rebuilding everything (for testing/debugging)"),
+                    ('install-script=', None,
+                     "basename of installation script to be run after "
+                     "installation or before deinstallation"),
+                    ('pre-install-script=', None,
+                     "Fully qualified filename of a script to be run before "
+                     "any files are installed.  This script need not be in the "
+                     "distribution"),
+                   ]
+
+    boolean_options = ['keep-temp', 'no-target-compile', 'no-target-optimize',
+                       'skip-build']
+
+    all_versions = ['2.0', '2.1', '2.2', '2.3', '2.4',
+                    '2.5', '2.6', '2.7', '2.8', '2.9',
+                    '3.0', '3.1', '3.2', '3.3', '3.4',
+                    '3.5', '3.6', '3.7', '3.8', '3.9']
+    other_version = 'X'
+
+    def __init__(self, *args, **kw):
+        super().__init__(*args, **kw)
+        warnings.warn("bdist_msi command is deprecated since Python 3.9, "
+                      "use bdist_wheel (wheel packages) instead",
+                      DeprecationWarning, 2)
+
+    def initialize_options(self):
+        self.bdist_dir = None
+        self.plat_name = None
+        self.keep_temp = 0
+        self.no_target_compile = 0
+        self.no_target_optimize = 0
+        self.target_version = None
+        self.dist_dir = None
+        self.skip_build = None
+        self.install_script = None
+        self.pre_install_script = None
+        self.versions = None
+
+    def finalize_options(self):
+        self.set_undefined_options('bdist', ('skip_build', 'skip_build'))
+
+        if self.bdist_dir is None:
+            bdist_base = self.get_finalized_command('bdist').bdist_base
+            self.bdist_dir = os.path.join(bdist_base, 'msi')
+
+        short_version = get_python_version()
+        if (not self.target_version) and self.distribution.has_ext_modules():
+            self.target_version = short_version
+
+        if self.target_version:
+            self.versions = [self.target_version]
+            if not self.skip_build and self.distribution.has_ext_modules()\
+               and self.target_version != short_version:
+                raise DistutilsOptionError(
+                      "target version can only be %s, or the '--skip-build'"
+                      " option must be specified" % (short_version,))
+        else:
+            self.versions = list(self.all_versions)
+
+        self.set_undefined_options('bdist',
+                                   ('dist_dir', 'dist_dir'),
+                                   ('plat_name', 'plat_name'),
+                                   )
+
+        if self.pre_install_script:
+            raise DistutilsOptionError(
+                  "the pre-install-script feature is not yet implemented")
+
+        if self.install_script:
+            for script in self.distribution.scripts:
+                if self.install_script == os.path.basename(script):
+                    break
+            else:
+                raise DistutilsOptionError(
+                      "install_script '%s' not found in scripts"
+                      % self.install_script)
+        self.install_script_key = None
+
+    def run(self):
+        if not self.skip_build:
+            self.run_command('build')
+
+        install = self.reinitialize_command('install', reinit_subcommands=1)
+        install.prefix = self.bdist_dir
+        install.skip_build = self.skip_build
+        install.warn_dir = 0
+
+        install_lib = self.reinitialize_command('install_lib')
+        # we do not want to include pyc or pyo files
+        install_lib.compile = 0
+        install_lib.optimize = 0
+
+        if self.distribution.has_ext_modules():
+            # If we are building an installer for a Python version other
+            # than the one we are currently running, then we need to ensure
+            # our build_lib reflects the other Python version rather than ours.
+            # Note that for target_version!=sys.version, we must have skipped the
+            # build step, so there is no issue with enforcing the build of this
+            # version.
+            target_version = self.target_version
+            if not target_version:
+                assert self.skip_build, "Should have already checked this"
+                target_version = '%d.%d' % sys.version_info[:2]
+            plat_specifier = ".%s-%s" % (self.plat_name, target_version)
+            build = self.get_finalized_command('build')
+            build.build_lib = os.path.join(build.build_base,
+                                           'lib' + plat_specifier)
+
+        log.info("installing to %s", self.bdist_dir)
+        install.ensure_finalized()
+
+        # avoid warning of 'install_lib' about installing
+        # into a directory not in sys.path
+        sys.path.insert(0, os.path.join(self.bdist_dir, 'PURELIB'))
+
+        install.run()
+
+        del sys.path[0]
+
+        self.mkpath(self.dist_dir)
+        fullname = self.distribution.get_fullname()
+        installer_name = self.get_installer_filename(fullname)
+        installer_name = os.path.abspath(installer_name)
+        if os.path.exists(installer_name): os.unlink(installer_name)
+
+        metadata = self.distribution.metadata
+        author = metadata.author
+        if not author:
+            author = metadata.maintainer
+        if not author:
+            author = "UNKNOWN"
+        version = metadata.get_version()
+        # ProductVersion must be strictly numeric
+        # XXX need to deal with prerelease versions
+        sversion = "%d.%d.%d" % StrictVersion(version).version
+        # Prefix ProductName with Python x.y, so that
+        # it sorts together with the other Python packages
+        # in Add-Remove-Programs (APR)
+        fullname = self.distribution.get_fullname()
+        if self.target_version:
+            product_name = "Python %s %s" % (self.target_version, fullname)
+        else:
+            product_name = "Python %s" % (fullname)
+        self.db = msilib.init_database(installer_name, schema,
+                product_name, msilib.gen_uuid(),
+                sversion, author)
+        msilib.add_tables(self.db, sequence)
+        props = [('DistVersion', version)]
+        email = metadata.author_email or metadata.maintainer_email
+        if email:
+            props.append(("ARPCONTACT", email))
+        if metadata.url:
+            props.append(("ARPURLINFOABOUT", metadata.url))
+        if props:
+            add_data(self.db, 'Property', props)
+
+        self.add_find_python()
+        self.add_files()
+        self.add_scripts()
+        self.add_ui()
+        self.db.Commit()
+
+        if hasattr(self.distribution, 'dist_files'):
+            tup = 'bdist_msi', self.target_version or 'any', fullname
+            self.distribution.dist_files.append(tup)
+
+        if not self.keep_temp:
+            remove_tree(self.bdist_dir, dry_run=self.dry_run)
+
+    def add_files(self):
+        db = self.db
+        cab = msilib.CAB("distfiles")
+        rootdir = os.path.abspath(self.bdist_dir)
+
+        root = Directory(db, cab, None, rootdir, "TARGETDIR", "SourceDir")
+        f = Feature(db, "Python", "Python", "Everything",
+                    0, 1, directory="TARGETDIR")
+
+        items = [(f, root, '')]
+        for version in self.versions + [self.other_version]:
+            target = "TARGETDIR" + version
+            name = default = "Python" + version
+            desc = "Everything"
+            if version is self.other_version:
+                title = "Python from another location"
+                level = 2
+            else:
+                title = "Python %s from registry" % version
+                level = 1
+            f = Feature(db, name, title, desc, 1, level, directory=target)
+            dir = Directory(db, cab, root, rootdir, target, default)
+            items.append((f, dir, version))
+        db.Commit()
+
+        seen = {}
+        for feature, dir, version in items:
+            todo = [dir]
+            while todo:
+                dir = todo.pop()
+                for file in os.listdir(dir.absolute):
+                    afile = os.path.join(dir.absolute, file)
+                    if os.path.isdir(afile):
+                        short = "%s|%s" % (dir.make_short(file), file)
+                        default = file + version
+                        newdir = Directory(db, cab, dir, file, default, short)
+                        todo.append(newdir)
+                    else:
+                        if not dir.component:
+                            dir.start_component(dir.logical, feature, 0)
+                        if afile not in seen:
+                            key = seen[afile] = dir.add_file(file)
+                            if file==self.install_script:
+                                if self.install_script_key:
+                                    raise DistutilsOptionError(
+                                          "Multiple files with name %s" % file)
+                                self.install_script_key = '[#%s]' % key
+                        else:
+                            key = seen[afile]
+                            add_data(self.db, "DuplicateFile",
+                                [(key + version, dir.component, key, None, dir.logical)])
+            db.Commit()
+        cab.commit(db)
+
+    def add_find_python(self):
+        """Adds code to the installer to compute the location of Python.
+
+        Properties PYTHON.MACHINE.X.Y and PYTHON.USER.X.Y will be set from the
+        registry for each version of Python.
+
+        Properties TARGETDIRX.Y will be set from PYTHON.USER.X.Y if defined,
+        else from PYTHON.MACHINE.X.Y.
+
+        Properties PYTHONX.Y will be set to TARGETDIRX.Y\\python.exe"""
+
+        start = 402
+        for ver in self.versions:
+            install_path = r"SOFTWARE\Python\PythonCore\%s\InstallPath" % ver
+            machine_reg = "python.machine." + ver
+            user_reg = "python.user." + ver
+            machine_prop = "PYTHON.MACHINE." + ver
+            user_prop = "PYTHON.USER." + ver
+            machine_action = "PythonFromMachine" + ver
+            user_action = "PythonFromUser" + ver
+            exe_action = "PythonExe" + ver
+            target_dir_prop = "TARGETDIR" + ver
+            exe_prop = "PYTHON" + ver
+            if msilib.Win64:
+                # type: msidbLocatorTypeRawValue + msidbLocatorType64bit
+                Type = 2+16
+            else:
+                Type = 2
+            add_data(self.db, "RegLocator",
+                    [(machine_reg, 2, install_path, None, Type),
+                     (user_reg, 1, install_path, None, Type)])
+            add_data(self.db, "AppSearch",
+                    [(machine_prop, machine_reg),
+                     (user_prop, user_reg)])
+            add_data(self.db, "CustomAction",
+                    [(machine_action, 51+256, target_dir_prop, "[" + machine_prop + "]"),
+                     (user_action, 51+256, target_dir_prop, "[" + user_prop + "]"),
+                     (exe_action, 51+256, exe_prop, "[" + target_dir_prop + "]\\python.exe"),
+                    ])
+            add_data(self.db, "InstallExecuteSequence",
+                    [(machine_action, machine_prop, start),
+                     (user_action, user_prop, start + 1),
+                     (exe_action, None, start + 2),
+                    ])
+            add_data(self.db, "InstallUISequence",
+                    [(machine_action, machine_prop, start),
+                     (user_action, user_prop, start + 1),
+                     (exe_action, None, start + 2),
+                    ])
+            add_data(self.db, "Condition",
+                    [("Python" + ver, 0, "NOT TARGETDIR" + ver)])
+            start += 4
+            assert start < 500
+
+    def add_scripts(self):
+        if self.install_script:
+            start = 6800
+            for ver in self.versions + [self.other_version]:
+                install_action = "install_script." + ver
+                exe_prop = "PYTHON" + ver
+                add_data(self.db, "CustomAction",
+                        [(install_action, 50, exe_prop, self.install_script_key)])
+                add_data(self.db, "InstallExecuteSequence",
+                        [(install_action, "&Python%s=3" % ver, start)])
+                start += 1
+        # XXX pre-install scripts are currently refused in finalize_options()
+        #     but if this feature is completed, it will also need to add
+        #     entries for each version as the above code does
+        if self.pre_install_script:
+            scriptfn = os.path.join(self.bdist_dir, "preinstall.bat")
+            with open(scriptfn, "w") as f:
+                # The batch file will be executed with [PYTHON], so that %1
+                # is the path to the Python interpreter; %0 will be the path
+                # of the batch file.
+                # rem ="""
+                # %1 %0
+                # exit
+                # """
+                # <actual script>
+                f.write('rem ="""\n%1 %0\nexit\n"""\n')
+                with open(self.pre_install_script) as fin:
+                    f.write(fin.read())
+            add_data(self.db, "Binary",
+                [("PreInstall", msilib.Binary(scriptfn))
+                ])
+            add_data(self.db, "CustomAction",
+                [("PreInstall", 2, "PreInstall", None)
+                ])
+            add_data(self.db, "InstallExecuteSequence",
+                    [("PreInstall", "NOT Installed", 450)])
+
+
+    def add_ui(self):
+        db = self.db
+        x = y = 50
+        w = 370
+        h = 300
+        title = "[ProductName] Setup"
+
+        # see "Dialog Style Bits"
+        modal = 3      # visible | modal
+        modeless = 1   # visible
+        track_disk_space = 32
+
+        # UI customization properties
+        add_data(db, "Property",
+                 # See "DefaultUIFont Property"
+                 [("DefaultUIFont", "DlgFont8"),
+                  # See "ErrorDialog Style Bit"
+                  ("ErrorDialog", "ErrorDlg"),
+                  ("Progress1", "Install"),   # modified in maintenance type dlg
+                  ("Progress2", "installs"),
+                  ("MaintenanceForm_Action", "Repair"),
+                  # possible values: ALL, JUSTME
+                  ("WhichUsers", "ALL")
+                 ])
+
+        # Fonts, see "TextStyle Table"
+        add_data(db, "TextStyle",
+                 [("DlgFont8", "Tahoma", 9, None, 0),
+                  ("DlgFontBold8", "Tahoma", 8, None, 1), #bold
+                  ("VerdanaBold10", "Verdana", 10, None, 1),
+                  ("VerdanaRed9", "Verdana", 9, 255, 0),
+                 ])
+
+        # UI Sequences, see "InstallUISequence Table", "Using a Sequence Table"
+        # Numbers indicate sequence; see sequence.py for how these action integrate
+        add_data(db, "InstallUISequence",
+                 [("PrepareDlg", "Not Privileged or Windows9x or Installed", 140),
+                  ("WhichUsersDlg", "Privileged and not Windows9x and not Installed", 141),
+                  # In the user interface, assume all-users installation if privileged.
+                  ("SelectFeaturesDlg", "Not Installed", 1230),
+                  # XXX no support for resume installations yet
+                  #("ResumeDlg", "Installed AND (RESUME OR Preselected)", 1240),
+                  ("MaintenanceTypeDlg", "Installed AND NOT RESUME AND NOT Preselected", 1250),
+                  ("ProgressDlg", None, 1280)])
+
+        add_data(db, 'ActionText', text.ActionText)
+        add_data(db, 'UIText', text.UIText)
+        #####################################################################
+        # Standard dialogs: FatalError, UserExit, ExitDialog
+        fatal=PyDialog(db, "FatalError", x, y, w, h, modal, title,
+                     "Finish", "Finish", "Finish")
+        fatal.title("[ProductName] Installer ended prematurely")
+        fatal.back("< Back", "Finish", active = 0)
+        fatal.cancel("Cancel", "Back", active = 0)
+        fatal.text("Description1", 15, 70, 320, 80, 0x30003,
+                   "[ProductName] setup ended prematurely because of an error.  Your system has not been modified.  To install this program at a later time, please run the installation again.")
+        fatal.text("Description2", 15, 155, 320, 20, 0x30003,
+                   "Click the Finish button to exit the Installer.")
+        c=fatal.next("Finish", "Cancel", name="Finish")
+        c.event("EndDialog", "Exit")
+
+        user_exit=PyDialog(db, "UserExit", x, y, w, h, modal, title,
+                     "Finish", "Finish", "Finish")
+        user_exit.title("[ProductName] Installer was interrupted")
+        user_exit.back("< Back", "Finish", active = 0)
+        user_exit.cancel("Cancel", "Back", active = 0)
+        user_exit.text("Description1", 15, 70, 320, 80, 0x30003,
+                   "[ProductName] setup was interrupted.  Your system has not been modified.  "
+                   "To install this program at a later time, please run the installation again.")
+        user_exit.text("Description2", 15, 155, 320, 20, 0x30003,
+                   "Click the Finish button to exit the Installer.")
+        c = user_exit.next("Finish", "Cancel", name="Finish")
+        c.event("EndDialog", "Exit")
+
+        exit_dialog = PyDialog(db, "ExitDialog", x, y, w, h, modal, title,
+                             "Finish", "Finish", "Finish")
+        exit_dialog.title("Completing the [ProductName] Installer")
+        exit_dialog.back("< Back", "Finish", active = 0)
+        exit_dialog.cancel("Cancel", "Back", active = 0)
+        exit_dialog.text("Description", 15, 235, 320, 20, 0x30003,
+                   "Click the Finish button to exit the Installer.")
+        c = exit_dialog.next("Finish", "Cancel", name="Finish")
+        c.event("EndDialog", "Return")
+
+        #####################################################################
+        # Required dialog: FilesInUse, ErrorDlg
+        inuse = PyDialog(db, "FilesInUse",
+                         x, y, w, h,
+                         19,                # KeepModeless|Modal|Visible
+                         title,
+                         "Retry", "Retry", "Retry", bitmap=False)
+        inuse.text("Title", 15, 6, 200, 15, 0x30003,
+                   r"{\DlgFontBold8}Files in Use")
+        inuse.text("Description", 20, 23, 280, 20, 0x30003,
+               "Some files that need to be updated are currently in use.")
+        inuse.text("Text", 20, 55, 330, 50, 3,
+                   "The following applications are using files that need to be updated by this setup. Close these applications and then click Retry to continue the installation or Cancel to exit it.")
+        inuse.control("List", "ListBox", 20, 107, 330, 130, 7, "FileInUseProcess",
+                      None, None, None)
+        c=inuse.back("Exit", "Ignore", name="Exit")
+        c.event("EndDialog", "Exit")
+        c=inuse.next("Ignore", "Retry", name="Ignore")
+        c.event("EndDialog", "Ignore")
+        c=inuse.cancel("Retry", "Exit", name="Retry")
+        c.event("EndDialog","Retry")
+
+        # See "Error Dialog". See "ICE20" for the required names of the controls.
+        error = Dialog(db, "ErrorDlg",
+                       50, 10, 330, 101,
+                       65543,       # Error|Minimize|Modal|Visible
+                       title,
+                       "ErrorText", None, None)
+        error.text("ErrorText", 50,9,280,48,3, "")
+        #error.control("ErrorIcon", "Icon", 15, 9, 24, 24, 5242881, None, "py.ico", None, None)
+        error.pushbutton("N",120,72,81,21,3,"No",None).event("EndDialog","ErrorNo")
+        error.pushbutton("Y",240,72,81,21,3,"Yes",None).event("EndDialog","ErrorYes")
+        error.pushbutton("A",0,72,81,21,3,"Abort",None).event("EndDialog","ErrorAbort")
+        error.pushbutton("C",42,72,81,21,3,"Cancel",None).event("EndDialog","ErrorCancel")
+        error.pushbutton("I",81,72,81,21,3,"Ignore",None).event("EndDialog","ErrorIgnore")
+        error.pushbutton("O",159,72,81,21,3,"Ok",None).event("EndDialog","ErrorOk")
+        error.pushbutton("R",198,72,81,21,3,"Retry",None).event("EndDialog","ErrorRetry")
+
+        #####################################################################
+        # Global "Query Cancel" dialog
+        cancel = Dialog(db, "CancelDlg", 50, 10, 260, 85, 3, title,
+                        "No", "No", "No")
+        cancel.text("Text", 48, 15, 194, 30, 3,
+                    "Are you sure you want to cancel [ProductName] installation?")
+        #cancel.control("Icon", "Icon", 15, 15, 24, 24, 5242881, None,
+        #               "py.ico", None, None)
+        c=cancel.pushbutton("Yes", 72, 57, 56, 17, 3, "Yes", "No")
+        c.event("EndDialog", "Exit")
+
+        c=cancel.pushbutton("No", 132, 57, 56, 17, 3, "No", "Yes")
+        c.event("EndDialog", "Return")
+
+        #####################################################################
+        # Global "Wait for costing" dialog
+        costing = Dialog(db, "WaitForCostingDlg", 50, 10, 260, 85, modal, title,
+                         "Return", "Return", "Return")
+        costing.text("Text", 48, 15, 194, 30, 3,
+                     "Please wait while the installer finishes determining your disk space requirements.")
+        c = costing.pushbutton("Return", 102, 57, 56, 17, 3, "Return", None)
+        c.event("EndDialog", "Exit")
+
+        #####################################################################
+        # Preparation dialog: no user input except cancellation
+        prep = PyDialog(db, "PrepareDlg", x, y, w, h, modeless, title,
+                        "Cancel", "Cancel", "Cancel")
+        prep.text("Description", 15, 70, 320, 40, 0x30003,
+                  "Please wait while the Installer prepares to guide you through the installation.")
+        prep.title("Welcome to the [ProductName] Installer")
+        c=prep.text("ActionText", 15, 110, 320, 20, 0x30003, "Pondering...")
+        c.mapping("ActionText", "Text")
+        c=prep.text("ActionData", 15, 135, 320, 30, 0x30003, None)
+        c.mapping("ActionData", "Text")
+        prep.back("Back", None, active=0)
+        prep.next("Next", None, active=0)
+        c=prep.cancel("Cancel", None)
+        c.event("SpawnDialog", "CancelDlg")
+
+        #####################################################################
+        # Feature (Python directory) selection
+        seldlg = PyDialog(db, "SelectFeaturesDlg", x, y, w, h, modal, title,
+                        "Next", "Next", "Cancel")
+        seldlg.title("Select Python Installations")
+
+        seldlg.text("Hint", 15, 30, 300, 20, 3,
+                    "Select the Python locations where %s should be installed."
+                    % self.distribution.get_fullname())
+
+        seldlg.back("< Back", None, active=0)
+        c = seldlg.next("Next >", "Cancel")
+        order = 1
+        c.event("[TARGETDIR]", "[SourceDir]", ordering=order)
+        for version in self.versions + [self.other_version]:
+            order += 1
+            c.event("[TARGETDIR]", "[TARGETDIR%s]" % version,
+                    "FEATURE_SELECTED AND &Python%s=3" % version,
+                    ordering=order)
+        c.event("SpawnWaitDialog", "WaitForCostingDlg", ordering=order + 1)
+        c.event("EndDialog", "Return", ordering=order + 2)
+        c = seldlg.cancel("Cancel", "Features")
+        c.event("SpawnDialog", "CancelDlg")
+
+        c = seldlg.control("Features", "SelectionTree", 15, 60, 300, 120, 3,
+                           "FEATURE", None, "PathEdit", None)
+        c.event("[FEATURE_SELECTED]", "1")
+        ver = self.other_version
+        install_other_cond = "FEATURE_SELECTED AND &Python%s=3" % ver
+        dont_install_other_cond = "FEATURE_SELECTED AND &Python%s<>3" % ver
+
+        c = seldlg.text("Other", 15, 200, 300, 15, 3,
+                        "Provide an alternate Python location")
+        c.condition("Enable", install_other_cond)
+        c.condition("Show", install_other_cond)
+        c.condition("Disable", dont_install_other_cond)
+        c.condition("Hide", dont_install_other_cond)
+
+        c = seldlg.control("PathEdit", "PathEdit", 15, 215, 300, 16, 1,
+                           "TARGETDIR" + ver, None, "Next", None)
+        c.condition("Enable", install_other_cond)
+        c.condition("Show", install_other_cond)
+        c.condition("Disable", dont_install_other_cond)
+        c.condition("Hide", dont_install_other_cond)
+
+        #####################################################################
+        # Disk cost
+        cost = PyDialog(db, "DiskCostDlg", x, y, w, h, modal, title,
+                        "OK", "OK", "OK", bitmap=False)
+        cost.text("Title", 15, 6, 200, 15, 0x30003,
+                 r"{\DlgFontBold8}Disk Space Requirements")
+        cost.text("Description", 20, 20, 280, 20, 0x30003,
+                  "The disk space required for the installation of the selected features.")
+        cost.text("Text", 20, 53, 330, 60, 3,
+                  "The highlighted volumes (if any) do not have enough disk space "
+              "available for the currently selected features.  You can either "
+              "remove some files from the highlighted volumes, or choose to "
+              "install less features onto local drive(s), or select different "
+              "destination drive(s).")
+        cost.control("VolumeList", "VolumeCostList", 20, 100, 330, 150, 393223,
+                     None, "{120}{70}{70}{70}{70}", None, None)
+        cost.xbutton("OK", "Ok", None, 0.5).event("EndDialog", "Return")
+
+        #####################################################################
+        # WhichUsers Dialog. Only available on NT, and for privileged users.
+        # This must be run before FindRelatedProducts, because that will
+        # take into account whether the previous installation was per-user
+        # or per-machine. We currently don't support going back to this
+        # dialog after "Next" was selected; to support this, we would need to
+        # find how to reset the ALLUSERS property, and how to re-run
+        # FindRelatedProducts.
+        # On Windows9x, the ALLUSERS property is ignored on the command line
+        # and in the Property table, but installer fails according to the documentation
+        # if a dialog attempts to set ALLUSERS.
+        whichusers = PyDialog(db, "WhichUsersDlg", x, y, w, h, modal, title,
+                            "AdminInstall", "Next", "Cancel")
+        whichusers.title("Select whether to install [ProductName] for all users of this computer.")
+        # A radio group with two options: allusers, justme
+        g = whichusers.radiogroup("AdminInstall", 15, 60, 260, 50, 3,
+                                  "WhichUsers", "", "Next")
+        g.add("ALL", 0, 5, 150, 20, "Install for all users")
+        g.add("JUSTME", 0, 25, 150, 20, "Install just for me")
+
+        whichusers.back("Back", None, active=0)
+
+        c = whichusers.next("Next >", "Cancel")
+        c.event("[ALLUSERS]", "1", 'WhichUsers="ALL"', 1)
+        c.event("EndDialog", "Return", ordering = 2)
+
+        c = whichusers.cancel("Cancel", "AdminInstall")
+        c.event("SpawnDialog", "CancelDlg")
+
+        #####################################################################
+        # Installation Progress dialog (modeless)
+        progress = PyDialog(db, "ProgressDlg", x, y, w, h, modeless, title,
+                            "Cancel", "Cancel", "Cancel", bitmap=False)
+        progress.text("Title", 20, 15, 200, 15, 0x30003,
+                     r"{\DlgFontBold8}[Progress1] [ProductName]")
+        progress.text("Text", 35, 65, 300, 30, 3,
+                      "Please wait while the Installer [Progress2] [ProductName]. "
+                      "This may take several minutes.")
+        progress.text("StatusLabel", 35, 100, 35, 20, 3, "Status:")
+
+        c=progress.text("ActionText", 70, 100, w-70, 20, 3, "Pondering...")
+        c.mapping("ActionText", "Text")
+
+        #c=progress.text("ActionData", 35, 140, 300, 20, 3, None)
+        #c.mapping("ActionData", "Text")
+
+        c=progress.control("ProgressBar", "ProgressBar", 35, 120, 300, 10, 65537,
+                           None, "Progress done", None, None)
+        c.mapping("SetProgress", "Progress")
+
+        progress.back("< Back", "Next", active=False)
+        progress.next("Next >", "Cancel", active=False)
+        progress.cancel("Cancel", "Back").event("SpawnDialog", "CancelDlg")
+
+        ###################################################################
+        # Maintenance type: repair/uninstall
+        maint = PyDialog(db, "MaintenanceTypeDlg", x, y, w, h, modal, title,
+                         "Next", "Next", "Cancel")
+        maint.title("Welcome to the [ProductName] Setup Wizard")
+        maint.text("BodyText", 15, 63, 330, 42, 3,
+                   "Select whether you want to repair or remove [ProductName].")
+        g=maint.radiogroup("RepairRadioGroup", 15, 108, 330, 60, 3,
+                            "MaintenanceForm_Action", "", "Next")
+        #g.add("Change", 0, 0, 200, 17, "&Change [ProductName]")
+        g.add("Repair", 0, 18, 200, 17, "&Repair [ProductName]")
+        g.add("Remove", 0, 36, 200, 17, "Re&move [ProductName]")
+
+        maint.back("< Back", None, active=False)
+        c=maint.next("Finish", "Cancel")
+        # Change installation: Change progress dialog to "Change", then ask
+        # for feature selection
+        #c.event("[Progress1]", "Change", 'MaintenanceForm_Action="Change"', 1)
+        #c.event("[Progress2]", "changes", 'MaintenanceForm_Action="Change"', 2)
+
+        # Reinstall: Change progress dialog to "Repair", then invoke reinstall
+        # Also set list of reinstalled features to "ALL"
+        c.event("[REINSTALL]", "ALL", 'MaintenanceForm_Action="Repair"', 5)
+        c.event("[Progress1]", "Repairing", 'MaintenanceForm_Action="Repair"', 6)
+        c.event("[Progress2]", "repairs", 'MaintenanceForm_Action="Repair"', 7)
+        c.event("Reinstall", "ALL", 'MaintenanceForm_Action="Repair"', 8)
+
+        # Uninstall: Change progress to "Remove", then invoke uninstall
+        # Also set list of removed features to "ALL"
+        c.event("[REMOVE]", "ALL", 'MaintenanceForm_Action="Remove"', 11)
+        c.event("[Progress1]", "Removing", 'MaintenanceForm_Action="Remove"', 12)
+        c.event("[Progress2]", "removes", 'MaintenanceForm_Action="Remove"', 13)
+        c.event("Remove", "ALL", 'MaintenanceForm_Action="Remove"', 14)
+
+        # Close dialog when maintenance action scheduled
+        c.event("EndDialog", "Return", 'MaintenanceForm_Action<>"Change"', 20)
+        #c.event("NewDialog", "SelectFeaturesDlg", 'MaintenanceForm_Action="Change"', 21)
+
+        maint.cancel("Cancel", "RepairRadioGroup").event("SpawnDialog", "CancelDlg")
+
+    def get_installer_filename(self, fullname):
+        # Factored out to allow overriding in subclasses
+        if self.target_version:
+            base_name = "%s.%s-py%s.msi" % (fullname, self.plat_name,
+                                            self.target_version)
+        else:
+            base_name = "%s.%s.msi" % (fullname, self.plat_name)
+        installer_name = os.path.join(self.dist_dir, base_name)
+        return installer_name

llmeval-env/lib/python3.10/site-packages/setuptools/_distutils/command/clean.py

@@ -0,0 +1,76 @@
+"""distutils.command.clean
+
+Implements the Distutils 'clean' command."""
+
+# contributed by Bastian Kleineidam <[email protected]>, added 2000-03-18
+
+import os
+from distutils.core import Command
+from distutils.dir_util import remove_tree
+from distutils import log
+
+class clean(Command):
+
+    description = "clean up temporary files from 'build' command"
+    user_options = [
+        ('build-base=', 'b',
+         "base build directory (default: 'build.build-base')"),
+        ('build-lib=', None,
+         "build directory for all modules (default: 'build.build-lib')"),
+        ('build-temp=', 't',
+         "temporary build directory (default: 'build.build-temp')"),
+        ('build-scripts=', None,
+         "build directory for scripts (default: 'build.build-scripts')"),
+        ('bdist-base=', None,
+         "temporary directory for built distributions"),
+        ('all', 'a',
+         "remove all build output, not just temporary by-products")
+    ]
+
+    boolean_options = ['all']
+
+    def initialize_options(self):
+        self.build_base = None
+        self.build_lib = None
+        self.build_temp = None
+        self.build_scripts = None
+        self.bdist_base = None
+        self.all = None
+
+    def finalize_options(self):
+        self.set_undefined_options('build',
+                                   ('build_base', 'build_base'),
+                                   ('build_lib', 'build_lib'),
+                                   ('build_scripts', 'build_scripts'),
+                                   ('build_temp', 'build_temp'))
+        self.set_undefined_options('bdist',
+                                   ('bdist_base', 'bdist_base'))
+
+    def run(self):
+        # remove the build/temp.<plat> directory (unless it's already
+        # gone)
+        if os.path.exists(self.build_temp):
+            remove_tree(self.build_temp, dry_run=self.dry_run)
+        else:
+            log.debug("'%s' does not exist -- can't clean it",
+                      self.build_temp)
+
+        if self.all:
+            # remove build directories
+            for directory in (self.build_lib,
+                              self.bdist_base,
+                              self.build_scripts):
+                if os.path.exists(directory):
+                    remove_tree(directory, dry_run=self.dry_run)
+                else:
+                    log.warn("'%s' does not exist -- can't clean it",
+                             directory)
+
+        # just for the heck of it, try to remove the base build directory:
+        # we might have emptied it right now, but if not we don't care
+        if not self.dry_run:
+            try:
+                os.rmdir(self.build_base)
+                log.info("removing '%s'", self.build_base)
+            except OSError:
+                pass

llmeval-env/lib/python3.10/site-packages/setuptools/_distutils/command/install.py

@@ -0,0 +1,721 @@
+"""distutils.command.install
+
+Implements the Distutils 'install' command."""
+
+import sys
+import os
+import contextlib
+import sysconfig
+import itertools
+
+from distutils import log
+from distutils.core import Command
+from distutils.debug import DEBUG
+from distutils.sysconfig import get_config_vars
+from distutils.errors import DistutilsPlatformError
+from distutils.file_util import write_file
+from distutils.util import convert_path, subst_vars, change_root
+from distutils.util import get_platform
+from distutils.errors import DistutilsOptionError
+
+from site import USER_BASE
+from site import USER_SITE
+HAS_USER_SITE = True
+
+WINDOWS_SCHEME = {
+    'purelib': '{base}/Lib/site-packages',
+    'platlib': '{base}/Lib/site-packages',
+    'headers': '{base}/Include/{dist_name}',
+    'scripts': '{base}/Scripts',
+    'data'   : '{base}',
+}
+
+INSTALL_SCHEMES = {
+    'posix_prefix': {
+        'purelib': '{base}/lib/{implementation_lower}{py_version_short}/site-packages',
+        'platlib': '{platbase}/{platlibdir}/{implementation_lower}{py_version_short}/site-packages',
+        'headers': '{base}/include/{implementation_lower}{py_version_short}{abiflags}/{dist_name}',
+        'scripts': '{base}/bin',
+        'data'   : '{base}',
+        },
+    'posix_home': {
+        'purelib': '{base}/lib/{implementation_lower}',
+        'platlib': '{base}/{platlibdir}/{implementation_lower}',
+        'headers': '{base}/include/{implementation_lower}/{dist_name}',
+        'scripts': '{base}/bin',
+        'data'   : '{base}',
+        },
+    'nt': WINDOWS_SCHEME,
+    'pypy': {
+        'purelib': '{base}/site-packages',
+        'platlib': '{base}/site-packages',
+        'headers': '{base}/include/{dist_name}',
+        'scripts': '{base}/bin',
+        'data'   : '{base}',
+        },
+    'pypy_nt': {
+        'purelib': '{base}/site-packages',
+        'platlib': '{base}/site-packages',
+        'headers': '{base}/include/{dist_name}',
+        'scripts': '{base}/Scripts',
+        'data'   : '{base}',
+        },
+    }
+
+# user site schemes
+if HAS_USER_SITE:
+    INSTALL_SCHEMES['nt_user'] = {
+        'purelib': '{usersite}',
+        'platlib': '{usersite}',
+        'headers': '{userbase}/{implementation}{py_version_nodot}/Include/{dist_name}',
+        'scripts': '{userbase}/{implementation}{py_version_nodot}/Scripts',
+        'data'   : '{userbase}',
+        }
+
+    INSTALL_SCHEMES['posix_user'] = {
+        'purelib': '{usersite}',
+        'platlib': '{usersite}',
+        'headers':
+            '{userbase}/include/{implementation_lower}{py_version_short}{abiflags}/{dist_name}',
+        'scripts': '{userbase}/bin',
+        'data'   : '{userbase}',
+        }
+
+# The keys to an installation scheme; if any new types of files are to be
+# installed, be sure to add an entry to every installation scheme above,
+# and to SCHEME_KEYS here.
+SCHEME_KEYS = ('purelib', 'platlib', 'headers', 'scripts', 'data')
+
+
+def _load_sysconfig_schemes():
+    with contextlib.suppress(AttributeError):
+        return {
+            scheme: sysconfig.get_paths(scheme, expand=False)
+            for scheme in sysconfig.get_scheme_names()
+        }
+
+
+def _load_schemes():
+    """
+    Extend default schemes with schemes from sysconfig.
+    """
+
+    sysconfig_schemes = _load_sysconfig_schemes() or {}
+
+    return {
+        scheme: {
+            **INSTALL_SCHEMES.get(scheme, {}),
+            **sysconfig_schemes.get(scheme, {}),
+        }
+        for scheme in set(itertools.chain(INSTALL_SCHEMES, sysconfig_schemes))
+    }
+
+
+def _get_implementation():
+    if hasattr(sys, 'pypy_version_info'):
+        return 'PyPy'
+    else:
+        return 'Python'
+
+
+class install(Command):
+
+    description = "install everything from build directory"
+
+    user_options = [
+        # Select installation scheme and set base director(y|ies)
+        ('prefix=', None,
+         "installation prefix"),
+        ('exec-prefix=', None,
+         "(Unix only) prefix for platform-specific files"),
+        ('home=', None,
+         "(Unix only) home directory to install under"),
+
+        # Or, just set the base director(y|ies)
+        ('install-base=', None,
+         "base installation directory (instead of --prefix or --home)"),
+        ('install-platbase=', None,
+         "base installation directory for platform-specific files " +
+         "(instead of --exec-prefix or --home)"),
+        ('root=', None,
+         "install everything relative to this alternate root directory"),
+
+        # Or, explicitly set the installation scheme
+        ('install-purelib=', None,
+         "installation directory for pure Python module distributions"),
+        ('install-platlib=', None,
+         "installation directory for non-pure module distributions"),
+        ('install-lib=', None,
+         "installation directory for all module distributions " +
+         "(overrides --install-purelib and --install-platlib)"),
+
+        ('install-headers=', None,
+         "installation directory for C/C++ headers"),
+        ('install-scripts=', None,
+         "installation directory for Python scripts"),
+        ('install-data=', None,
+         "installation directory for data files"),
+
+        # Byte-compilation options -- see install_lib.py for details, as
+        # these are duplicated from there (but only install_lib does
+        # anything with them).
+        ('compile', 'c', "compile .py to .pyc [default]"),
+        ('no-compile', None, "don't compile .py files"),
+        ('optimize=', 'O',
+         "also compile with optimization: -O1 for \"python -O\", "
+         "-O2 for \"python -OO\", and -O0 to disable [default: -O0]"),
+
+        # Miscellaneous control options
+        ('force', 'f',
+         "force installation (overwrite any existing files)"),
+        ('skip-build', None,
+         "skip rebuilding everything (for testing/debugging)"),
+
+        # Where to install documentation (eventually!)
+        #('doc-format=', None, "format of documentation to generate"),
+        #('install-man=', None, "directory for Unix man pages"),
+        #('install-html=', None, "directory for HTML documentation"),
+        #('install-info=', None, "directory for GNU info files"),
+
+        ('record=', None,
+         "filename in which to record list of installed files"),
+        ]
+
+    boolean_options = ['compile', 'force', 'skip-build']
+
+    if HAS_USER_SITE:
+        user_options.append(('user', None,
+                             "install in user site-package '%s'" % USER_SITE))
+        boolean_options.append('user')
+
+    negative_opt = {'no-compile' : 'compile'}
+
+
+    def initialize_options(self):
+        """Initializes options."""
+        # High-level options: these select both an installation base
+        # and scheme.
+        self.prefix = None
+        self.exec_prefix = None
+        self.home = None
+        self.user = 0
+
+        # These select only the installation base; it's up to the user to
+        # specify the installation scheme (currently, that means supplying
+        # the --install-{platlib,purelib,scripts,data} options).
+        self.install_base = None
+        self.install_platbase = None
+        self.root = None
+
+        # These options are the actual installation directories; if not
+        # supplied by the user, they are filled in using the installation
+        # scheme implied by prefix/exec-prefix/home and the contents of
+        # that installation scheme.
+        self.install_purelib = None     # for pure module distributions
+        self.install_platlib = None     # non-pure (dists w/ extensions)
+        self.install_headers = None     # for C/C++ headers
+        self.install_lib = None         # set to either purelib or platlib
+        self.install_scripts = None
+        self.install_data = None
+        self.install_userbase = USER_BASE
+        self.install_usersite = USER_SITE
+
+        self.compile = None
+        self.optimize = None
+
+        # Deprecated
+        # These two are for putting non-packagized distributions into their
+        # own directory and creating a .pth file if it makes sense.
+        # 'extra_path' comes from the setup file; 'install_path_file' can
+        # be turned off if it makes no sense to install a .pth file.  (But
+        # better to install it uselessly than to guess wrong and not
+        # install it when it's necessary and would be used!)  Currently,
+        # 'install_path_file' is always true unless some outsider meddles
+        # with it.
+        self.extra_path = None
+        self.install_path_file = 1
+
+        # 'force' forces installation, even if target files are not
+        # out-of-date.  'skip_build' skips running the "build" command,
+        # handy if you know it's not necessary.  'warn_dir' (which is *not*
+        # a user option, it's just there so the bdist_* commands can turn
+        # it off) determines whether we warn about installing to a
+        # directory not in sys.path.
+        self.force = 0
+        self.skip_build = 0
+        self.warn_dir = 1
+
+        # These are only here as a conduit from the 'build' command to the
+        # 'install_*' commands that do the real work.  ('build_base' isn't
+        # actually used anywhere, but it might be useful in future.)  They
+        # are not user options, because if the user told the install
+        # command where the build directory is, that wouldn't affect the
+        # build command.
+        self.build_base = None
+        self.build_lib = None
+
+        # Not defined yet because we don't know anything about
+        # documentation yet.
+        #self.install_man = None
+        #self.install_html = None
+        #self.install_info = None
+
+        self.record = None
+
+
+    # -- Option finalizing methods -------------------------------------
+    # (This is rather more involved than for most commands,
+    # because this is where the policy for installing third-
+    # party Python modules on various platforms given a wide
+    # array of user input is decided.  Yes, it's quite complex!)
+
+    def finalize_options(self):
+        """Finalizes options."""
+        # This method (and its helpers, like 'finalize_unix()',
+        # 'finalize_other()', and 'select_scheme()') is where the default
+        # installation directories for modules, extension modules, and
+        # anything else we care to install from a Python module
+        # distribution.  Thus, this code makes a pretty important policy
+        # statement about how third-party stuff is added to a Python
+        # installation!  Note that the actual work of installation is done
+        # by the relatively simple 'install_*' commands; they just take
+        # their orders from the installation directory options determined
+        # here.
+
+        # Check for errors/inconsistencies in the options; first, stuff
+        # that's wrong on any platform.
+
+        if ((self.prefix or self.exec_prefix or self.home) and
+            (self.install_base or self.install_platbase)):
+            raise DistutilsOptionError(
+                   "must supply either prefix/exec-prefix/home or " +
+                   "install-base/install-platbase -- not both")
+
+        if self.home and (self.prefix or self.exec_prefix):
+            raise DistutilsOptionError(
+                  "must supply either home or prefix/exec-prefix -- not both")
+
+        if self.user and (self.prefix or self.exec_prefix or self.home or
+                self.install_base or self.install_platbase):
+            raise DistutilsOptionError("can't combine user with prefix, "
+                                       "exec_prefix/home, or install_(plat)base")
+
+        # Next, stuff that's wrong (or dubious) only on certain platforms.
+        if os.name != "posix":
+            if self.exec_prefix:
+                self.warn("exec-prefix option ignored on this platform")
+                self.exec_prefix = None
+
+        # Now the interesting logic -- so interesting that we farm it out
+        # to other methods.  The goal of these methods is to set the final
+        # values for the install_{lib,scripts,data,...}  options, using as
+        # input a heady brew of prefix, exec_prefix, home, install_base,
+        # install_platbase, user-supplied versions of
+        # install_{purelib,platlib,lib,scripts,data,...}, and the
+        # install schemes.  Phew!
+
+        self.dump_dirs("pre-finalize_{unix,other}")
+
+        if os.name == 'posix':
+            self.finalize_unix()
+        else:
+            self.finalize_other()
+
+        self.dump_dirs("post-finalize_{unix,other}()")
+
+        # Expand configuration variables, tilde, etc. in self.install_base
+        # and self.install_platbase -- that way, we can use $base or
+        # $platbase in the other installation directories and not worry
+        # about needing recursive variable expansion (shudder).
+
+        py_version = sys.version.split()[0]
+        (prefix, exec_prefix) = get_config_vars('prefix', 'exec_prefix')
+        try:
+            abiflags = sys.abiflags
+        except AttributeError:
+            # sys.abiflags may not be defined on all platforms.
+            abiflags = ''
+        self.config_vars = {'dist_name': self.distribution.get_name(),
+                            'dist_version': self.distribution.get_version(),
+                            'dist_fullname': self.distribution.get_fullname(),
+                            'py_version': py_version,
+                            'py_version_short': '%d.%d' % sys.version_info[:2],
+                            'py_version_nodot': '%d%d' % sys.version_info[:2],
+                            'sys_prefix': prefix,
+                            'prefix': prefix,
+                            'sys_exec_prefix': exec_prefix,
+                            'exec_prefix': exec_prefix,
+                            'abiflags': abiflags,
+                            'platlibdir': getattr(sys, 'platlibdir', 'lib'),
+                            'implementation_lower': _get_implementation().lower(),
+                            'implementation': _get_implementation(),
+                           }
+
+        if HAS_USER_SITE:
+            self.config_vars['userbase'] = self.install_userbase
+            self.config_vars['usersite'] = self.install_usersite
+
+        self.expand_basedirs()
+
+        self.dump_dirs("post-expand_basedirs()")
+
+        # Now define config vars for the base directories so we can expand
+        # everything else.
+        self.config_vars['base'] = self.install_base
+        self.config_vars['platbase'] = self.install_platbase
+        self.config_vars['installed_base'] = (
+            sysconfig.get_config_vars()['installed_base'])
+
+        if DEBUG:
+            from pprint import pprint
+            print("config vars:")
+            pprint(self.config_vars)
+
+        # Expand "~" and configuration variables in the installation
+        # directories.
+        self.expand_dirs()
+
+        self.dump_dirs("post-expand_dirs()")
+
+        # Create directories in the home dir:
+        if self.user:
+            self.create_home_path()
+
+        # Pick the actual directory to install all modules to: either
+        # install_purelib or install_platlib, depending on whether this
+        # module distribution is pure or not.  Of course, if the user
+        # already specified install_lib, use their selection.
+        if self.install_lib is None:
+            if self.distribution.has_ext_modules(): # has extensions: non-pure
+                self.install_lib = self.install_platlib
+            else:
+                self.install_lib = self.install_purelib
+
+
+        # Convert directories from Unix /-separated syntax to the local
+        # convention.
+        self.convert_paths('lib', 'purelib', 'platlib',
+                           'scripts', 'data', 'headers',
+                           'userbase', 'usersite')
+
+        # Deprecated
+        # Well, we're not actually fully completely finalized yet: we still
+        # have to deal with 'extra_path', which is the hack for allowing
+        # non-packagized module distributions (hello, Numerical Python!) to
+        # get their own directories.
+        self.handle_extra_path()
+        self.install_libbase = self.install_lib # needed for .pth file
+        self.install_lib = os.path.join(self.install_lib, self.extra_dirs)
+
+        # If a new root directory was supplied, make all the installation
+        # dirs relative to it.
+        if self.root is not None:
+            self.change_roots('libbase', 'lib', 'purelib', 'platlib',
+                              'scripts', 'data', 'headers')
+
+        self.dump_dirs("after prepending root")
+
+        # Find out the build directories, ie. where to install from.
+        self.set_undefined_options('build',
+                                   ('build_base', 'build_base'),
+                                   ('build_lib', 'build_lib'))
+
+        # Punt on doc directories for now -- after all, we're punting on
+        # documentation completely!
+
+    def dump_dirs(self, msg):
+        """Dumps the list of user options."""
+        if not DEBUG:
+            return
+        from distutils.fancy_getopt import longopt_xlate
+        log.debug(msg + ":")
+        for opt in self.user_options:
+            opt_name = opt[0]
+            if opt_name[-1] == "=":
+                opt_name = opt_name[0:-1]
+            if opt_name in self.negative_opt:
+                opt_name = self.negative_opt[opt_name]
+                opt_name = opt_name.translate(longopt_xlate)
+                val = not getattr(self, opt_name)
+            else:
+                opt_name = opt_name.translate(longopt_xlate)
+                val = getattr(self, opt_name)
+            log.debug("  %s: %s", opt_name, val)
+
+    def finalize_unix(self):
+        """Finalizes options for posix platforms."""
+        if self.install_base is not None or self.install_platbase is not None:
+            if ((self.install_lib is None and
+                 self.install_purelib is None and
+                 self.install_platlib is None) or
+                self.install_headers is None or
+                self.install_scripts is None or
+                self.install_data is None):
+                raise DistutilsOptionError(
+                      "install-base or install-platbase supplied, but "
+                      "installation scheme is incomplete")
+            return
+
+        if self.user:
+            if self.install_userbase is None:
+                raise DistutilsPlatformError(
+                    "User base directory is not specified")
+            self.install_base = self.install_platbase = self.install_userbase
+            self.select_scheme("posix_user")
+        elif self.home is not None:
+            self.install_base = self.install_platbase = self.home
+            self.select_scheme("posix_home")
+        else:
+            if self.prefix is None:
+                if self.exec_prefix is not None:
+                    raise DistutilsOptionError(
+                          "must not supply exec-prefix without prefix")
+
+                # Allow Fedora to add components to the prefix
+                _prefix_addition = getattr(sysconfig, '_prefix_addition', "")
+
+                self.prefix = (
+                    os.path.normpath(sys.prefix) + _prefix_addition)
+                self.exec_prefix = (
+                    os.path.normpath(sys.exec_prefix) + _prefix_addition)
+
+            else:
+                if self.exec_prefix is None:
+                    self.exec_prefix = self.prefix
+
+            self.install_base = self.prefix
+            self.install_platbase = self.exec_prefix
+            self.select_scheme("posix_prefix")
+
+    def finalize_other(self):
+        """Finalizes options for non-posix platforms"""
+        if self.user:
+            if self.install_userbase is None:
+                raise DistutilsPlatformError(
+                    "User base directory is not specified")
+            self.install_base = self.install_platbase = self.install_userbase
+            self.select_scheme(os.name + "_user")
+        elif self.home is not None:
+            self.install_base = self.install_platbase = self.home
+            self.select_scheme("posix_home")
+        else:
+            if self.prefix is None:
+                self.prefix = os.path.normpath(sys.prefix)
+
+            self.install_base = self.install_platbase = self.prefix
+            try:
+                self.select_scheme(os.name)
+            except KeyError:
+                raise DistutilsPlatformError(
+                      "I don't know how to install stuff on '%s'" % os.name)
+
+    def select_scheme(self, name):
+        """Sets the install directories by applying the install schemes."""
+        # it's the caller's problem if they supply a bad name!
+        if (hasattr(sys, 'pypy_version_info') and
+                sys.version_info < (3, 8) and
+                not name.endswith(('_user', '_home'))):
+            if os.name == 'nt':
+                name = 'pypy_nt'
+            else:
+                name = 'pypy'
+        scheme = _load_schemes()[name]
+        for key in SCHEME_KEYS:
+            attrname = 'install_' + key
+            if getattr(self, attrname) is None:
+                setattr(self, attrname, scheme[key])
+
+    def _expand_attrs(self, attrs):
+        for attr in attrs:
+            val = getattr(self, attr)
+            if val is not None:
+                if os.name == 'posix' or os.name == 'nt':
+                    val = os.path.expanduser(val)
+                val = subst_vars(val, self.config_vars)
+                setattr(self, attr, val)
+
+    def expand_basedirs(self):
+        """Calls `os.path.expanduser` on install_base, install_platbase and
+        root."""
+        self._expand_attrs(['install_base', 'install_platbase', 'root'])
+
+    def expand_dirs(self):
+        """Calls `os.path.expanduser` on install dirs."""
+        self._expand_attrs(['install_purelib', 'install_platlib',
+                            'install_lib', 'install_headers',
+                            'install_scripts', 'install_data',])
+
+    def convert_paths(self, *names):
+        """Call `convert_path` over `names`."""
+        for name in names:
+            attr = "install_" + name
+            setattr(self, attr, convert_path(getattr(self, attr)))
+
+    def handle_extra_path(self):
+        """Set `path_file` and `extra_dirs` using `extra_path`."""
+        if self.extra_path is None:
+            self.extra_path = self.distribution.extra_path
+
+        if self.extra_path is not None:
+            log.warn(
+                "Distribution option extra_path is deprecated. "
+                "See issue27919 for details."
+            )
+            if isinstance(self.extra_path, str):
+                self.extra_path = self.extra_path.split(',')
+
+            if len(self.extra_path) == 1:
+                path_file = extra_dirs = self.extra_path[0]
+            elif len(self.extra_path) == 2:
+                path_file, extra_dirs = self.extra_path
+            else:
+                raise DistutilsOptionError(
+                      "'extra_path' option must be a list, tuple, or "
+                      "comma-separated string with 1 or 2 elements")
+
+            # convert to local form in case Unix notation used (as it
+            # should be in setup scripts)
+            extra_dirs = convert_path(extra_dirs)
+        else:
+            path_file = None
+            extra_dirs = ''
+
+        # XXX should we warn if path_file and not extra_dirs? (in which
+        # case the path file would be harmless but pointless)
+        self.path_file = path_file
+        self.extra_dirs = extra_dirs
+
+    def change_roots(self, *names):
+        """Change the install directories pointed by name using root."""
+        for name in names:
+            attr = "install_" + name
+            setattr(self, attr, change_root(self.root, getattr(self, attr)))
+
+    def create_home_path(self):
+        """Create directories under ~."""
+        if not self.user:
+            return
+        home = convert_path(os.path.expanduser("~"))
+        for name, path in self.config_vars.items():
+            if path.startswith(home) and not os.path.isdir(path):
+                self.debug_print("os.makedirs('%s', 0o700)" % path)
+                os.makedirs(path, 0o700)
+
+    # -- Command execution methods -------------------------------------
+
+    def run(self):
+        """Runs the command."""
+        # Obviously have to build before we can install
+        if not self.skip_build:
+            self.run_command('build')
+            # If we built for any other platform, we can't install.
+            build_plat = self.distribution.get_command_obj('build').plat_name
+            # check warn_dir - it is a clue that the 'install' is happening
+            # internally, and not to sys.path, so we don't check the platform
+            # matches what we are running.
+            if self.warn_dir and build_plat != get_platform():
+                raise DistutilsPlatformError("Can't install when "
+                                             "cross-compiling")
+
+        # Run all sub-commands (at least those that need to be run)
+        for cmd_name in self.get_sub_commands():
+            self.run_command(cmd_name)
+
+        if self.path_file:
+            self.create_path_file()
+
+        # write list of installed files, if requested.
+        if self.record:
+            outputs = self.get_outputs()
+            if self.root:               # strip any package prefix
+                root_len = len(self.root)
+                for counter in range(len(outputs)):
+                    outputs[counter] = outputs[counter][root_len:]
+            self.execute(write_file,
+                         (self.record, outputs),
+                         "writing list of installed files to '%s'" %
+                         self.record)
+
+        sys_path = map(os.path.normpath, sys.path)
+        sys_path = map(os.path.normcase, sys_path)
+        install_lib = os.path.normcase(os.path.normpath(self.install_lib))
+        if (self.warn_dir and
+            not (self.path_file and self.install_path_file) and
+            install_lib not in sys_path):
+            log.debug(("modules installed to '%s', which is not in "
+                       "Python's module search path (sys.path) -- "
+                       "you'll have to change the search path yourself"),
+                       self.install_lib)
+
+    def create_path_file(self):
+        """Creates the .pth file"""
+        filename = os.path.join(self.install_libbase,
+                                self.path_file + ".pth")
+        if self.install_path_file:
+            self.execute(write_file,
+                         (filename, [self.extra_dirs]),
+                         "creating %s" % filename)
+        else:
+            self.warn("path file '%s' not created" % filename)
+
+
+    # -- Reporting methods ---------------------------------------------
+
+    def get_outputs(self):
+        """Assembles the outputs of all the sub-commands."""
+        outputs = []
+        for cmd_name in self.get_sub_commands():
+            cmd = self.get_finalized_command(cmd_name)
+            # Add the contents of cmd.get_outputs(), ensuring
+            # that outputs doesn't contain duplicate entries
+            for filename in cmd.get_outputs():
+                if filename not in outputs:
+                    outputs.append(filename)
+
+        if self.path_file and self.install_path_file:
+            outputs.append(os.path.join(self.install_libbase,
+                                        self.path_file + ".pth"))
+
+        return outputs
+
+    def get_inputs(self):
+        """Returns the inputs of all the sub-commands"""
+        # XXX gee, this looks familiar ;-(
+        inputs = []
+        for cmd_name in self.get_sub_commands():
+            cmd = self.get_finalized_command(cmd_name)
+            inputs.extend(cmd.get_inputs())
+
+        return inputs
+
+    # -- Predicates for sub-command list -------------------------------
+
+    def has_lib(self):
+        """Returns true if the current distribution has any Python
+        modules to install."""
+        return (self.distribution.has_pure_modules() or
+                self.distribution.has_ext_modules())
+
+    def has_headers(self):
+        """Returns true if the current distribution has any headers to
+        install."""
+        return self.distribution.has_headers()
+
+    def has_scripts(self):
+        """Returns true if the current distribution has any scripts to.
+        install."""
+        return self.distribution.has_scripts()
+
+    def has_data(self):
+        """Returns true if the current distribution has any data to.
+        install."""
+        return self.distribution.has_data_files()
+
+    # 'sub_commands': a list of commands this command might have to run to
+    # get its work done.  See cmd.py for more info.
+    sub_commands = [('install_lib',     has_lib),
+                    ('install_headers', has_headers),
+                    ('install_scripts', has_scripts),
+                    ('install_data',    has_data),
+                    ('install_egg_info', lambda self:True),
+                   ]

llmeval-env/lib/python3.10/site-packages/setuptools/_distutils/command/install_egg_info.py

@@ -0,0 +1,84 @@
+"""distutils.command.install_egg_info
+
+Implements the Distutils 'install_egg_info' command, for installing
+a package's PKG-INFO metadata."""
+
+
+from distutils.cmd import Command
+from distutils import log, dir_util
+import os, sys, re
+
+class install_egg_info(Command):
+    """Install an .egg-info file for the package"""
+
+    description = "Install package's PKG-INFO metadata as an .egg-info file"
+    user_options = [
+        ('install-dir=', 'd', "directory to install to"),
+    ]
+
+    def initialize_options(self):
+        self.install_dir = None
+
+    @property
+    def basename(self):
+        """
+        Allow basename to be overridden by child class.
+        Ref pypa/distutils#2.
+        """
+        return "%s-%s-py%d.%d.egg-info" % (
+            to_filename(safe_name(self.distribution.get_name())),
+            to_filename(safe_version(self.distribution.get_version())),
+            *sys.version_info[:2]
+        )
+
+    def finalize_options(self):
+        self.set_undefined_options('install_lib',('install_dir','install_dir'))
+        self.target = os.path.join(self.install_dir, self.basename)
+        self.outputs = [self.target]
+
+    def run(self):
+        target = self.target
+        if os.path.isdir(target) and not os.path.islink(target):
+            dir_util.remove_tree(target, dry_run=self.dry_run)
+        elif os.path.exists(target):
+            self.execute(os.unlink,(self.target,),"Removing "+target)
+        elif not os.path.isdir(self.install_dir):
+            self.execute(os.makedirs, (self.install_dir,),
+                         "Creating "+self.install_dir)
+        log.info("Writing %s", target)
+        if not self.dry_run:
+            with open(target, 'w', encoding='UTF-8') as f:
+                self.distribution.metadata.write_pkg_file(f)
+
+    def get_outputs(self):
+        return self.outputs
+
+
+# The following routines are taken from setuptools' pkg_resources module and
+# can be replaced by importing them from pkg_resources once it is included
+# in the stdlib.
+
+def safe_name(name):
+    """Convert an arbitrary string to a standard distribution name
+
+    Any runs of non-alphanumeric/. characters are replaced with a single '-'.
+    """
+    return re.sub('[^A-Za-z0-9.]+', '-', name)
+
+
+def safe_version(version):
+    """Convert an arbitrary string to a standard version string
+
+    Spaces become dots, and all other non-alphanumeric characters become
+    dashes, with runs of multiple dashes condensed to a single dash.
+    """
+    version = version.replace(' ','.')
+    return re.sub('[^A-Za-z0-9.]+', '-', version)
+
+
+def to_filename(name):
+    """Convert a project or version name to its filename-escaped form
+
+    Any '-' characters are currently replaced with '_'.
+    """
+    return name.replace('-','_')

llmeval-env/lib/python3.10/site-packages/setuptools/_distutils/command/py37compat.py

@@ -0,0 +1,30 @@
+import sys
+
+
+def _pythonlib_compat():
+    """
+    On Python 3.7 and earlier, distutils would include the Python
+    library. See pypa/distutils#9.
+    """
+    from distutils import sysconfig
+    if not sysconfig.get_config_var('Py_ENABLED_SHARED'):
+        return
+
+    yield 'python{}.{}{}'.format(
+        sys.hexversion >> 24,
+        (sys.hexversion >> 16) & 0xff,
+        sysconfig.get_config_var('ABIFLAGS'),
+    )
+
+
+def compose(f1, f2):
+    return lambda *args, **kwargs: f1(f2(*args, **kwargs))
+
+
+pythonlib = (
+    compose(list, _pythonlib_compat)
+    if sys.version_info < (3, 8)
+    and sys.platform != 'darwin'
+    and sys.platform[:3] != 'aix'
+    else list
+)

llmeval-env/lib/python3.10/site-packages/setuptools/_distutils/command/register.py

@@ -0,0 +1,304 @@
+"""distutils.command.register
+
+Implements the Distutils 'register' command (register with the repository).
+"""
+
+# created 2002/10/21, Richard Jones
+
+import getpass
+import io
+import urllib.parse, urllib.request
+from warnings import warn
+
+from distutils.core import PyPIRCCommand
+from distutils.errors import *
+from distutils import log
+
+class register(PyPIRCCommand):
+
+    description = ("register the distribution with the Python package index")
+    user_options = PyPIRCCommand.user_options + [
+        ('list-classifiers', None,
+         'list the valid Trove classifiers'),
+        ('strict', None ,
+         'Will stop the registering if the meta-data are not fully compliant')
+        ]
+    boolean_options = PyPIRCCommand.boolean_options + [
+        'verify', 'list-classifiers', 'strict']
+
+    sub_commands = [('check', lambda self: True)]
+
+    def initialize_options(self):
+        PyPIRCCommand.initialize_options(self)
+        self.list_classifiers = 0
+        self.strict = 0
+
+    def finalize_options(self):
+        PyPIRCCommand.finalize_options(self)
+        # setting options for the `check` subcommand
+        check_options = {'strict': ('register', self.strict),
+                         'restructuredtext': ('register', 1)}
+        self.distribution.command_options['check'] = check_options
+
+    def run(self):
+        self.finalize_options()
+        self._set_config()
+
+        # Run sub commands
+        for cmd_name in self.get_sub_commands():
+            self.run_command(cmd_name)
+
+        if self.dry_run:
+            self.verify_metadata()
+        elif self.list_classifiers:
+            self.classifiers()
+        else:
+            self.send_metadata()
+
+    def check_metadata(self):
+        """Deprecated API."""
+        warn("distutils.command.register.check_metadata is deprecated, \
+              use the check command instead", PendingDeprecationWarning)
+        check = self.distribution.get_command_obj('check')
+        check.ensure_finalized()
+        check.strict = self.strict
+        check.restructuredtext = 1
+        check.run()
+
+    def _set_config(self):
+        ''' Reads the configuration file and set attributes.
+        '''
+        config = self._read_pypirc()
+        if config != {}:
+            self.username = config['username']
+            self.password = config['password']
+            self.repository = config['repository']
+            self.realm = config['realm']
+            self.has_config = True
+        else:
+            if self.repository not in ('pypi', self.DEFAULT_REPOSITORY):
+                raise ValueError('%s not found in .pypirc' % self.repository)
+            if self.repository == 'pypi':
+                self.repository = self.DEFAULT_REPOSITORY
+            self.has_config = False
+
+    def classifiers(self):
+        ''' Fetch the list of classifiers from the server.
+        '''
+        url = self.repository+'?:action=list_classifiers'
+        response = urllib.request.urlopen(url)
+        log.info(self._read_pypi_response(response))
+
+    def verify_metadata(self):
+        ''' Send the metadata to the package index server to be checked.
+        '''
+        # send the info to the server and report the result
+        (code, result) = self.post_to_server(self.build_post_data('verify'))
+        log.info('Server response (%s): %s', code, result)
+
+    def send_metadata(self):
+        ''' Send the metadata to the package index server.
+
+            Well, do the following:
+            1. figure who the user is, and then
+            2. send the data as a Basic auth'ed POST.
+
+            First we try to read the username/password from $HOME/.pypirc,
+            which is a ConfigParser-formatted file with a section
+            [distutils] containing username and password entries (both
+            in clear text). Eg:
+
+                [distutils]
+                index-servers =
+                    pypi
+
+                [pypi]
+                username: fred
+                password: sekrit
+
+            Otherwise, to figure who the user is, we offer the user three
+            choices:
+
+             1. use existing login,
+             2. register as a new user, or
+             3. set the password to a random string and email the user.
+
+        '''
+        # see if we can short-cut and get the username/password from the
+        # config
+        if self.has_config:
+            choice = '1'
+            username = self.username
+            password = self.password
+        else:
+            choice = 'x'
+            username = password = ''
+
+        # get the user's login info
+        choices = '1 2 3 4'.split()
+        while choice not in choices:
+            self.announce('''\
+We need to know who you are, so please choose either:
+ 1. use your existing login,
+ 2. register as a new user,
+ 3. have the server generate a new password for you (and email it to you), or
+ 4. quit
+Your selection [default 1]: ''', log.INFO)
+            choice = input()
+            if not choice:
+                choice = '1'
+            elif choice not in choices:
+                print('Please choose one of the four options!')
+
+        if choice == '1':
+            # get the username and password
+            while not username:
+                username = input('Username: ')
+            while not password:
+                password = getpass.getpass('Password: ')
+
+            # set up the authentication
+            auth = urllib.request.HTTPPasswordMgr()
+            host = urllib.parse.urlparse(self.repository)[1]
+            auth.add_password(self.realm, host, username, password)
+            # send the info to the server and report the result
+            code, result = self.post_to_server(self.build_post_data('submit'),
+                auth)
+            self.announce('Server response (%s): %s' % (code, result),
+                          log.INFO)
+
+            # possibly save the login
+            if code == 200:
+                if self.has_config:
+                    # sharing the password in the distribution instance
+                    # so the upload command can reuse it
+                    self.distribution.password = password
+                else:
+                    self.announce(('I can store your PyPI login so future '
+                                   'submissions will be faster.'), log.INFO)
+                    self.announce('(the login will be stored in %s)' % \
+                                  self._get_rc_file(), log.INFO)
+                    choice = 'X'
+                    while choice.lower() not in 'yn':
+                        choice = input('Save your login (y/N)?')
+                        if not choice:
+                            choice = 'n'
+                    if choice.lower() == 'y':
+                        self._store_pypirc(username, password)
+
+        elif choice == '2':
+            data = {':action': 'user'}
+            data['name'] = data['password'] = data['email'] = ''
+            data['confirm'] = None
+            while not data['name']:
+                data['name'] = input('Username: ')
+            while data['password'] != data['confirm']:
+                while not data['password']:
+                    data['password'] = getpass.getpass('Password: ')
+                while not data['confirm']:
+                    data['confirm'] = getpass.getpass(' Confirm: ')
+                if data['password'] != data['confirm']:
+                    data['password'] = ''
+                    data['confirm'] = None
+                    print("Password and confirm don't match!")
+            while not data['email']:
+                data['email'] = input('   EMail: ')
+            code, result = self.post_to_server(data)
+            if code != 200:
+                log.info('Server response (%s): %s', code, result)
+            else:
+                log.info('You will receive an email shortly.')
+                log.info(('Follow the instructions in it to '
+                          'complete registration.'))
+        elif choice == '3':
+            data = {':action': 'password_reset'}
+            data['email'] = ''
+            while not data['email']:
+                data['email'] = input('Your email address: ')
+            code, result = self.post_to_server(data)
+            log.info('Server response (%s): %s', code, result)
+
+    def build_post_data(self, action):
+        # figure the data to send - the metadata plus some additional
+        # information used by the package server
+        meta = self.distribution.metadata
+        data = {
+            ':action': action,
+            'metadata_version' : '1.0',
+            'name': meta.get_name(),
+            'version': meta.get_version(),
+            'summary': meta.get_description(),
+            'home_page': meta.get_url(),
+            'author': meta.get_contact(),
+            'author_email': meta.get_contact_email(),
+            'license': meta.get_licence(),
+            'description': meta.get_long_description(),
+            'keywords': meta.get_keywords(),
+            'platform': meta.get_platforms(),
+            'classifiers': meta.get_classifiers(),
+            'download_url': meta.get_download_url(),
+            # PEP 314
+            'provides': meta.get_provides(),
+            'requires': meta.get_requires(),
+            'obsoletes': meta.get_obsoletes(),
+        }
+        if data['provides'] or data['requires'] or data['obsoletes']:
+            data['metadata_version'] = '1.1'
+        return data
+
+    def post_to_server(self, data, auth=None):
+        ''' Post a query to the server, and return a string response.
+        '''
+        if 'name' in data:
+            self.announce('Registering %s to %s' % (data['name'],
+                                                    self.repository),
+                                                    log.INFO)
+        # Build up the MIME payload for the urllib2 POST data
+        boundary = '--------------GHSKFJDLGDS7543FJKLFHRE75642756743254'
+        sep_boundary = '\n--' + boundary
+        end_boundary = sep_boundary + '--'
+        body = io.StringIO()
+        for key, value in data.items():
+            # handle multiple entries for the same name
+            if type(value) not in (type([]), type( () )):
+                value = [value]
+            for value in value:
+                value = str(value)
+                body.write(sep_boundary)
+                body.write('\nContent-Disposition: form-data; name="%s"'%key)
+                body.write("\n\n")
+                body.write(value)
+                if value and value[-1] == '\r':
+                    body.write('\n')  # write an extra newline (lurve Macs)
+        body.write(end_boundary)
+        body.write("\n")
+        body = body.getvalue().encode("utf-8")
+
+        # build the Request
+        headers = {
+            'Content-type': 'multipart/form-data; boundary=%s; charset=utf-8'%boundary,
+            'Content-length': str(len(body))
+        }
+        req = urllib.request.Request(self.repository, body, headers)
+
+        # handle HTTP and include the Basic Auth handler
+        opener = urllib.request.build_opener(
+            urllib.request.HTTPBasicAuthHandler(password_mgr=auth)
+        )
+        data = ''
+        try:
+            result = opener.open(req)
+        except urllib.error.HTTPError as e:
+            if self.show_response:
+                data = e.fp.read()
+            result = e.code, e.msg
+        except urllib.error.URLError as e:
+            result = 500, str(e)
+        else:
+            if self.show_response:
+                data = self._read_pypi_response(result)
+            result = 200, 'OK'
+        if self.show_response:
+            msg = '\n'.join(('-' * 75, data, '-' * 75))
+            self.announce(msg, log.INFO)
+        return result

llmeval-env/lib/python3.10/site-packages/setuptools/_distutils/command/upload.py

@@ -0,0 +1,214 @@
+"""
+distutils.command.upload
+
+Implements the Distutils 'upload' subcommand (upload package to a package
+index).
+"""
+
+import os
+import io
+import hashlib
+from base64 import standard_b64encode
+from urllib.request import urlopen, Request, HTTPError
+from urllib.parse import urlparse
+from distutils.errors import DistutilsError, DistutilsOptionError
+from distutils.core import PyPIRCCommand
+from distutils.spawn import spawn
+from distutils import log
+
+
+# PyPI Warehouse supports MD5, SHA256, and Blake2 (blake2-256)
+# https://bugs.python.org/issue40698
+_FILE_CONTENT_DIGESTS = {
+    "md5_digest": getattr(hashlib, "md5", None),
+    "sha256_digest": getattr(hashlib, "sha256", None),
+    "blake2_256_digest": getattr(hashlib, "blake2b", None),
+}
+
+
+class upload(PyPIRCCommand):
+
+    description = "upload binary package to PyPI"
+
+    user_options = PyPIRCCommand.user_options + [
+        ('sign', 's',
+         'sign files to upload using gpg'),
+        ('identity=', 'i', 'GPG identity used to sign files'),
+        ]
+
+    boolean_options = PyPIRCCommand.boolean_options + ['sign']
+
+    def initialize_options(self):
+        PyPIRCCommand.initialize_options(self)
+        self.username = ''
+        self.password = ''
+        self.show_response = 0
+        self.sign = False
+        self.identity = None
+
+    def finalize_options(self):
+        PyPIRCCommand.finalize_options(self)
+        if self.identity and not self.sign:
+            raise DistutilsOptionError(
+                "Must use --sign for --identity to have meaning"
+            )
+        config = self._read_pypirc()
+        if config != {}:
+            self.username = config['username']
+            self.password = config['password']
+            self.repository = config['repository']
+            self.realm = config['realm']
+
+        # getting the password from the distribution
+        # if previously set by the register command
+        if not self.password and self.distribution.password:
+            self.password = self.distribution.password
+
+    def run(self):
+        if not self.distribution.dist_files:
+            msg = ("Must create and upload files in one command "
+                   "(e.g. setup.py sdist upload)")
+            raise DistutilsOptionError(msg)
+        for command, pyversion, filename in self.distribution.dist_files:
+            self.upload_file(command, pyversion, filename)
+
+    def upload_file(self, command, pyversion, filename):
+        # Makes sure the repository URL is compliant
+        schema, netloc, url, params, query, fragments = \
+            urlparse(self.repository)
+        if params or query or fragments:
+            raise AssertionError("Incompatible url %s" % self.repository)
+
+        if schema not in ('http', 'https'):
+            raise AssertionError("unsupported schema " + schema)
+
+        # Sign if requested
+        if self.sign:
+            gpg_args = ["gpg", "--detach-sign", "-a", filename]
+            if self.identity:
+                gpg_args[2:2] = ["--local-user", self.identity]
+            spawn(gpg_args,
+                  dry_run=self.dry_run)
+
+        # Fill in the data - send all the meta-data in case we need to
+        # register a new release
+        f = open(filename,'rb')
+        try:
+            content = f.read()
+        finally:
+            f.close()
+
+        meta = self.distribution.metadata
+        data = {
+            # action
+            ':action': 'file_upload',
+            'protocol_version': '1',
+
+            # identify release
+            'name': meta.get_name(),
+            'version': meta.get_version(),
+
+            # file content
+            'content': (os.path.basename(filename),content),
+            'filetype': command,
+            'pyversion': pyversion,
+
+            # additional meta-data
+            'metadata_version': '1.0',
+            'summary': meta.get_description(),
+            'home_page': meta.get_url(),
+            'author': meta.get_contact(),
+            'author_email': meta.get_contact_email(),
+            'license': meta.get_licence(),
+            'description': meta.get_long_description(),
+            'keywords': meta.get_keywords(),
+            'platform': meta.get_platforms(),
+            'classifiers': meta.get_classifiers(),
+            'download_url': meta.get_download_url(),
+            # PEP 314
+            'provides': meta.get_provides(),
+            'requires': meta.get_requires(),
+            'obsoletes': meta.get_obsoletes(),
+            }
+
+        data['comment'] = ''
+
+        # file content digests
+        for digest_name, digest_cons in _FILE_CONTENT_DIGESTS.items():
+            if digest_cons is None:
+                continue
+            try:
+                data[digest_name] = digest_cons(content).hexdigest()
+            except ValueError:
+                # hash digest not available or blocked by security policy
+                pass
+
+        if self.sign:
+            with open(filename + ".asc", "rb") as f:
+                data['gpg_signature'] = (os.path.basename(filename) + ".asc",
+                                         f.read())
+
+        # set up the authentication
+        user_pass = (self.username + ":" + self.password).encode('ascii')
+        # The exact encoding of the authentication string is debated.
+        # Anyway PyPI only accepts ascii for both username or password.
+        auth = "Basic " + standard_b64encode(user_pass).decode('ascii')
+
+        # Build up the MIME payload for the POST data
+        boundary = '--------------GHSKFJDLGDS7543FJKLFHRE75642756743254'
+        sep_boundary = b'\r\n--' + boundary.encode('ascii')
+        end_boundary = sep_boundary + b'--\r\n'
+        body = io.BytesIO()
+        for key, value in data.items():
+            title = '\r\nContent-Disposition: form-data; name="%s"' % key
+            # handle multiple entries for the same name
+            if not isinstance(value, list):
+                value = [value]
+            for value in value:
+                if type(value) is tuple:
+                    title += '; filename="%s"' % value[0]
+                    value = value[1]
+                else:
+                    value = str(value).encode('utf-8')
+                body.write(sep_boundary)
+                body.write(title.encode('utf-8'))
+                body.write(b"\r\n\r\n")
+                body.write(value)
+        body.write(end_boundary)
+        body = body.getvalue()
+
+        msg = "Submitting %s to %s" % (filename, self.repository)
+        self.announce(msg, log.INFO)
+
+        # build the Request
+        headers = {
+            'Content-type': 'multipart/form-data; boundary=%s' % boundary,
+            'Content-length': str(len(body)),
+            'Authorization': auth,
+        }
+
+        request = Request(self.repository, data=body,
+                          headers=headers)
+        # send the data
+        try:
+            result = urlopen(request)
+            status = result.getcode()
+            reason = result.msg
+        except HTTPError as e:
+            status = e.code
+            reason = e.msg
+        except OSError as e:
+            self.announce(str(e), log.ERROR)
+            raise
+
+        if status == 200:
+            self.announce('Server response (%s): %s' % (status, reason),
+                          log.INFO)
+            if self.show_response:
+                text = self._read_pypi_response(result)
+                msg = '\n'.join(('-' * 75, text, '-' * 75))
+                self.announce(msg, log.INFO)
+        else:
+            msg = 'Upload failed (%s): %s' % (status, reason)
+            self.announce(msg, log.ERROR)
+            raise DistutilsError(msg)

llmeval-env/lib/python3.10/site-packages/transformers/activations.py

@@ -0,0 +1,239 @@
+# Copyright 2020 The HuggingFace Team. All rights reserved.
+#
+# 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 math
+from collections import OrderedDict
+
+import torch
+from packaging import version
+from torch import Tensor, nn
+
+from .utils import logging
+
+
+logger = logging.get_logger(__name__)
+
+
+class PytorchGELUTanh(nn.Module):
+    """
+    A fast C implementation of the tanh approximation of the GeLU activation function. See
+    https://arxiv.org/abs/1606.08415.
+
+    This implementation is equivalent to NewGELU and FastGELU but much faster. However, it is not an exact numerical
+    match due to rounding errors.
+    """
+
+    def __init__(self):
+        super().__init__()
+        if version.parse(torch.__version__) < version.parse("1.12.0"):
+            raise ImportError(
+                f"You are using torch=={torch.__version__}, but torch>=1.12.0 is required to use "
+                "PytorchGELUTanh. Please upgrade torch."
+            )
+
+    def forward(self, input: Tensor) -> Tensor:
+        return nn.functional.gelu(input, approximate="tanh")
+
+
+class NewGELUActivation(nn.Module):
+    """
+    Implementation of the GELU activation function currently in Google BERT repo (identical to OpenAI GPT). Also see
+    the Gaussian Error Linear Units paper: https://arxiv.org/abs/1606.08415
+    """
+
+    def forward(self, input: Tensor) -> Tensor:
+        return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
+
+
+class GELUActivation(nn.Module):
+    """
+    Original Implementation of the GELU activation function in Google BERT repo when initially created. For
+    information: OpenAI GPT's GELU is slightly different (and gives slightly different results): 0.5 * x * (1 +
+    torch.tanh(math.sqrt(2 / math.pi) * (x + 0.044715 * torch.pow(x, 3)))) This is now written in C in nn.functional
+    Also see the Gaussian Error Linear Units paper: https://arxiv.org/abs/1606.08415
+    """
+
+    def __init__(self, use_gelu_python: bool = False):
+        super().__init__()
+        if use_gelu_python:
+            self.act = self._gelu_python
+        else:
+            self.act = nn.functional.gelu
+
+    def _gelu_python(self, input: Tensor) -> Tensor:
+        return input * 0.5 * (1.0 + torch.erf(input / math.sqrt(2.0)))
+
+    def forward(self, input: Tensor) -> Tensor:
+        return self.act(input)
+
+
+class FastGELUActivation(nn.Module):
+    """
+    Applies GELU approximation that is slower than QuickGELU but more accurate. See: https://github.com/hendrycks/GELUs
+    """
+
+    def forward(self, input: Tensor) -> Tensor:
+        return 0.5 * input * (1.0 + torch.tanh(input * 0.7978845608 * (1.0 + 0.044715 * input * input)))
+
+
+class QuickGELUActivation(nn.Module):
+    """
+    Applies GELU approximation that is fast but somewhat inaccurate. See: https://github.com/hendrycks/GELUs
+    """
+
+    def forward(self, input: Tensor) -> Tensor:
+        return input * torch.sigmoid(1.702 * input)
+
+
+class ClippedGELUActivation(nn.Module):
+    """
+    Clip the range of possible GeLU outputs between [min, max]. This is especially useful for quantization purpose, as
+    it allows mapping negatives values in the GeLU spectrum. For more information on this trick, please refer to
+    https://arxiv.org/abs/2004.09602.
+
+    Gaussian Error Linear Unit. Original Implementation of the gelu activation function in Google Bert repo when
+    initially created.
+
+    For information: OpenAI GPT's gelu is slightly different (and gives slightly different results): 0.5 * x * (1 +
+    torch.tanh(math.sqrt(2 / math.pi) * (x + 0.044715 * torch.pow(x, 3)))). See https://arxiv.org/abs/1606.08415
+    """
+
+    def __init__(self, min: float, max: float):
+        if min > max:
+            raise ValueError(f"min should be < max (got min: {min}, max: {max})")
+
+        super().__init__()
+        self.min = min
+        self.max = max
+
+    def forward(self, x: Tensor) -> Tensor:
+        return torch.clip(gelu(x), self.min, self.max)
+
+
+class AccurateGELUActivation(nn.Module):
+    """
+    Applies GELU approximation that is faster than default and more accurate than QuickGELU. See:
+    https://github.com/hendrycks/GELUs
+
+    Implemented along with MEGA (Moving Average Equipped Gated Attention)
+    """
+
+    def __init__(self):
+        super().__init__()
+        self.precomputed_constant = math.sqrt(2 / math.pi)
+
+    def forward(self, input: Tensor) -> Tensor:
+        return 0.5 * input * (1 + torch.tanh(self.precomputed_constant * (input + 0.044715 * torch.pow(input, 3))))
+
+
+class MishActivation(nn.Module):
+    """
+    See Mish: A Self-Regularized Non-Monotonic Activation Function (Misra., https://arxiv.org/abs/1908.08681). Also
+    visit the official repository for the paper: https://github.com/digantamisra98/Mish
+    """
+
+    def __init__(self):
+        super().__init__()
+        if version.parse(torch.__version__) < version.parse("1.9.0"):
+            self.act = self._mish_python
+        else:
+            self.act = nn.functional.mish
+
+    def _mish_python(self, input: Tensor) -> Tensor:
+        return input * torch.tanh(nn.functional.softplus(input))
+
+    def forward(self, input: Tensor) -> Tensor:
+        return self.act(input)
+
+
+class LinearActivation(nn.Module):
+    """
+    Applies the linear activation function, i.e. forwarding input directly to output.
+    """
+
+    def forward(self, input: Tensor) -> Tensor:
+        return input
+
+
+class LaplaceActivation(nn.Module):
+    """
+    Applies elementwise activation based on Laplace function, introduced in MEGA as an attention activation. See
+    https://arxiv.org/abs/2209.10655
+
+    Inspired by squared relu, but with bounded range and gradient for better stability
+    """
+
+    def forward(self, input, mu=0.707107, sigma=0.282095):
+        input = (input - mu).div(sigma * math.sqrt(2.0))
+        return 0.5 * (1.0 + torch.erf(input))
+
+
+class ReLUSquaredActivation(nn.Module):
+    """
+    Applies the relu^2 activation introduced in https://arxiv.org/abs/2109.08668v2
+    """
+
+    def forward(self, input):
+        relu_applied = nn.functional.relu(input)
+        squared = torch.square(relu_applied)
+        return squared
+
+
+class ClassInstantier(OrderedDict):
+    def __getitem__(self, key):
+        content = super().__getitem__(key)
+        cls, kwargs = content if isinstance(content, tuple) else (content, {})
+        return cls(**kwargs)
+
+
+ACT2CLS = {
+    "gelu": GELUActivation,
+    "gelu_10": (ClippedGELUActivation, {"min": -10, "max": 10}),
+    "gelu_fast": FastGELUActivation,
+    "gelu_new": NewGELUActivation,
+    "gelu_python": (GELUActivation, {"use_gelu_python": True}),
+    "gelu_pytorch_tanh": PytorchGELUTanh,
+    "gelu_accurate": AccurateGELUActivation,
+    "laplace": LaplaceActivation,
+    "leaky_relu": nn.LeakyReLU,
+    "linear": LinearActivation,
+    "mish": MishActivation,
+    "quick_gelu": QuickGELUActivation,
+    "relu": nn.ReLU,
+    "relu2": ReLUSquaredActivation,
+    "relu6": nn.ReLU6,
+    "sigmoid": nn.Sigmoid,
+    "silu": nn.SiLU,
+    "swish": nn.SiLU,
+    "tanh": nn.Tanh,
+}
+ACT2FN = ClassInstantier(ACT2CLS)
+
+
+def get_activation(activation_string):
+    if activation_string in ACT2FN:
+        return ACT2FN[activation_string]
+    else:
+        raise KeyError(f"function {activation_string} not found in ACT2FN mapping {list(ACT2FN.keys())}")
+
+
+# For backwards compatibility with: from activations import gelu_python
+gelu_python = get_activation("gelu_python")
+gelu_new = get_activation("gelu_new")
+gelu = get_activation("gelu")
+gelu_fast = get_activation("gelu_fast")
+quick_gelu = get_activation("quick_gelu")
+silu = get_activation("silu")
+mish = get_activation("mish")
+linear_act = get_activation("linear")

llmeval-env/lib/python3.10/site-packages/transformers/activations_tf.py

@@ -0,0 +1,147 @@
+# Copyright 2020 The HuggingFace Team. All rights reserved.
+#
+# 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 math
+
+import tensorflow as tf
+from packaging.version import parse
+
+
+try:
+    import tf_keras as keras
+except (ModuleNotFoundError, ImportError):
+    import keras
+
+    if parse(keras.__version__).major > 2:
+        raise ValueError(
+            "Your currently installed version of Keras is Keras 3, but this is not yet supported in "
+            "Transformers. Please install the backwards-compatible tf-keras package with "
+            "`pip install tf-keras`."
+        )
+
+
+def _gelu(x):
+    """
+    Gaussian Error Linear Unit. Original Implementation of the gelu activation function in Google Bert repo when
+    initially created. For information: OpenAI GPT's gelu is slightly different (and gives slightly different results):
+    0.5 * x * (1 + torch.tanh(math.sqrt(2 / math.pi) * (x + 0.044715 * torch.pow(x, 3)))) Also see
+    https://arxiv.org/abs/1606.08415
+    """
+    x = tf.convert_to_tensor(x)
+    cdf = 0.5 * (1.0 + tf.math.erf(x / tf.cast(tf.sqrt(2.0), x.dtype)))
+
+    return x * cdf
+
+
+def _gelu_new(x):
+    """
+    Gaussian Error Linear Unit. This is a smoother version of the GELU. Original paper: https://arxiv.org/abs/1606.0841
+
+    Args:
+        x: float Tensor to perform activation
+
+    Returns:
+        `x` with the GELU activation applied.
+    """
+    x = tf.convert_to_tensor(x)
+    pi = tf.cast(math.pi, x.dtype)
+    coeff = tf.cast(0.044715, x.dtype)
+    cdf = 0.5 * (1.0 + tf.tanh(tf.sqrt(2.0 / pi) * (x + coeff * tf.pow(x, 3))))
+
+    return x * cdf
+
+
+def mish(x):
+    x = tf.convert_to_tensor(x)
+
+    return x * tf.tanh(tf.math.softplus(x))
+
+
+def gelu_fast(x):
+    x = tf.convert_to_tensor(x)
+    coeff1 = tf.cast(0.044715, x.dtype)
+    coeff2 = tf.cast(0.7978845608, x.dtype)
+
+    return 0.5 * x * (1.0 + tf.tanh(x * coeff2 * (1.0 + coeff1 * x * x)))
+
+
+def quick_gelu(x):
+    x = tf.convert_to_tensor(x)
+    coeff = tf.cast(1.702, x.dtype)
+    return x * tf.math.sigmoid(coeff * x)
+
+
+def gelu_10(x):
+    """
+    Clip the range of possible GeLU outputs between [-10, 10]. This is especially useful for quantization purpose, as
+    it allows mapping 2 negatives values in the GeLU spectrum. For more information on this trick, please refer to
+    https://arxiv.org/abs/2004.09602
+
+    Gaussian Error Linear Unit. Original Implementation of the gelu activation function in Google Bert repo when
+    initially created. For information: OpenAI GPT's gelu is slightly different (and gives slightly different results):
+    0.5 * x * (1 + torch.tanh(math.sqrt(2 / math.pi) * (x + 0.044715 * torch.pow(x, 3)))) Also see
+    https://arxiv.org/abs/1606.08415 :param x: :return:
+    """
+    return tf.clip_by_value(_gelu(x), -10, 10)
+
+
+def glu(x, axis=-1):
+    """
+    Gated Linear Unit. Implementation as defined in the original paper (see https://arxiv.org/abs/1612.08083), where
+    the input `x` is split in two halves across a dimension (`axis`), A and B, returning A * sigmoid(B).
+
+    Args:
+        `x`: float Tensor to perform activation
+        `axis`: dimension across which `x` be split in half
+
+    Returns:
+        `x` with the GLU activation applied (with its size halved across the dimension `axis`).
+    """
+    a, b = tf.split(x, 2, axis=axis)
+    return a * tf.math.sigmoid(b)
+
+
+if parse(tf.version.VERSION) >= parse("2.4"):
+
+    def approximate_gelu_wrap(x):
+        return keras.activations.gelu(x, approximate=True)
+
+    gelu = keras.activations.gelu
+    gelu_new = approximate_gelu_wrap
+else:
+    gelu = _gelu
+    gelu_new = _gelu_new
+
+
+ACT2FN = {
+    "gelu": gelu,
+    "gelu_10": gelu_10,
+    "gelu_fast": gelu_fast,
+    "gelu_new": gelu_new,
+    "glu": glu,
+    "mish": mish,
+    "quick_gelu": quick_gelu,
+    "relu": keras.activations.relu,
+    "sigmoid": keras.activations.sigmoid,
+    "silu": keras.activations.swish,
+    "swish": keras.activations.swish,
+    "tanh": keras.activations.tanh,
+}
+
+
+def get_tf_activation(activation_string):
+    if activation_string in ACT2FN:
+        return ACT2FN[activation_string]
+    else:
+        raise KeyError(f"function {activation_string} not found in ACT2FN mapping {list(ACT2FN.keys())}")

llmeval-env/lib/python3.10/site-packages/transformers/audio_utils.py

@@ -0,0 +1,825 @@
+# coding=utf-8
+# Copyright 2023 The HuggingFace Inc. team and the librosa & torchaudio authors.
+#
+# 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.
+"""
+Audio processing functions to extract features from audio waveforms. This code is pure numpy to support all frameworks
+and remove unnecessary dependencies.
+"""
+import warnings
+from typing import Optional, Tuple, Union
+
+import numpy as np
+
+
+def hertz_to_mel(freq: Union[float, np.ndarray], mel_scale: str = "htk") -> Union[float, np.ndarray]:
+    """
+    Convert frequency from hertz to mels.
+
+    Args:
+        freq (`float` or `np.ndarray`):
+            The frequency, or multiple frequencies, in hertz (Hz).
+        mel_scale (`str`, *optional*, defaults to `"htk"`):
+            The mel frequency scale to use, `"htk"`, `"kaldi"` or `"slaney"`.
+
+    Returns:
+        `float` or `np.ndarray`: The frequencies on the mel scale.
+    """
+
+    if mel_scale not in ["slaney", "htk", "kaldi"]:
+        raise ValueError('mel_scale should be one of "htk", "slaney" or "kaldi".')
+
+    if mel_scale == "htk":
+        return 2595.0 * np.log10(1.0 + (freq / 700.0))
+    elif mel_scale == "kaldi":
+        return 1127.0 * np.log(1.0 + (freq / 700.0))
+
+    min_log_hertz = 1000.0
+    min_log_mel = 15.0
+    logstep = 27.0 / np.log(6.4)
+    mels = 3.0 * freq / 200.0
+
+    if isinstance(freq, np.ndarray):
+        log_region = freq >= min_log_hertz
+        mels[log_region] = min_log_mel + np.log(freq[log_region] / min_log_hertz) * logstep
+    elif freq >= min_log_hertz:
+        mels = min_log_mel + np.log(freq / min_log_hertz) * logstep
+
+    return mels
+
+
+def mel_to_hertz(mels: Union[float, np.ndarray], mel_scale: str = "htk") -> Union[float, np.ndarray]:
+    """
+    Convert frequency from mels to hertz.
+
+    Args:
+        mels (`float` or `np.ndarray`):
+            The frequency, or multiple frequencies, in mels.
+        mel_scale (`str`, *optional*, `"htk"`):
+            The mel frequency scale to use, `"htk"`, `"kaldi"` or `"slaney"`.
+
+    Returns:
+        `float` or `np.ndarray`: The frequencies in hertz.
+    """
+
+    if mel_scale not in ["slaney", "htk", "kaldi"]:
+        raise ValueError('mel_scale should be one of "htk", "slaney" or "kaldi".')
+
+    if mel_scale == "htk":
+        return 700.0 * (np.power(10, mels / 2595.0) - 1.0)
+    elif mel_scale == "kaldi":
+        return 700.0 * (np.exp(mels / 1127.0) - 1.0)
+
+    min_log_hertz = 1000.0
+    min_log_mel = 15.0
+    logstep = np.log(6.4) / 27.0
+    freq = 200.0 * mels / 3.0
+
+    if isinstance(mels, np.ndarray):
+        log_region = mels >= min_log_mel
+        freq[log_region] = min_log_hertz * np.exp(logstep * (mels[log_region] - min_log_mel))
+    elif mels >= min_log_mel:
+        freq = min_log_hertz * np.exp(logstep * (mels - min_log_mel))
+
+    return freq
+
+
+def hertz_to_octave(
+    freq: Union[float, np.ndarray], tuning: Optional[float] = 0.0, bins_per_octave: Optional[int] = 12
+):
+    """
+    Convert frequency from hertz to fractional octave numbers.
+    Adapted from *librosa*.
+
+    Args:
+        freq (`float` or `np.ndarray`):
+            The frequency, or multiple frequencies, in hertz (Hz).
+        tuning (`float`, defaults to `0.`):
+            Tuning deviation from the Stuttgart pitch (A440) in (fractional) bins per octave.
+        bins_per_octave (`int`, defaults to `12`):
+            Number of bins per octave.
+
+    Returns:
+        `float` or `np.ndarray`: The frequencies on the octave scale.
+    """
+    stuttgart_pitch = 440.0 * 2.0 ** (tuning / bins_per_octave)
+    octave = np.log2(freq / (float(stuttgart_pitch) / 16))
+    return octave
+
+
+def _create_triangular_filter_bank(fft_freqs: np.ndarray, filter_freqs: np.ndarray) -> np.ndarray:
+    """
+    Creates a triangular filter bank.
+
+    Adapted from *torchaudio* and *librosa*.
+
+    Args:
+        fft_freqs (`np.ndarray` of shape `(num_frequency_bins,)`):
+            Discrete frequencies of the FFT bins in Hz.
+        filter_freqs (`np.ndarray` of shape `(num_mel_filters,)`):
+            Center frequencies of the triangular filters to create, in Hz.
+
+    Returns:
+        `np.ndarray` of shape `(num_frequency_bins, num_mel_filters)`
+    """
+    filter_diff = np.diff(filter_freqs)
+    slopes = np.expand_dims(filter_freqs, 0) - np.expand_dims(fft_freqs, 1)
+    down_slopes = -slopes[:, :-2] / filter_diff[:-1]
+    up_slopes = slopes[:, 2:] / filter_diff[1:]
+    return np.maximum(np.zeros(1), np.minimum(down_slopes, up_slopes))
+
+
+def chroma_filter_bank(
+    num_frequency_bins: int,
+    num_chroma: int,
+    sampling_rate: int,
+    tuning: float = 0.0,
+    power: Optional[float] = 2.0,
+    weighting_parameters: Optional[Tuple[float]] = (5.0, 2),
+    start_at_c_chroma: Optional[bool] = True,
+):
+    """
+    Creates a chroma filter bank, i.e a linear transformation to project spectrogram bins onto chroma bins.
+
+    Adapted from *librosa*.
+
+    Args:
+        num_frequency_bins (`int`):
+            Number of frequencies used to compute the spectrogram (should be the same as in `stft`).
+        num_chroma (`int`):
+            Number of chroma bins (i.e pitch classes).
+        sampling_rate (`float`):
+            Sample rate of the audio waveform.
+        tuning (`float`):
+            Tuning deviation from A440 in fractions of a chroma bin.
+        power (`float`, *optional*, defaults to 2.0):
+            If 12.0, normalizes each column with their L2 norm. If 1.0, normalizes each column with their L1 norm.
+        weighting_parameters (`Tuple[float]`, *optional*, defaults to `(5., 2.)`):
+            If specified, apply a Gaussian weighting parameterized by the first element of the tuple being the center and
+            the second element being the Gaussian half-width.
+        start_at_c_chroma (`float`, *optional*, defaults to `True`):
+            If True, the filter bank will start at the 'C' pitch class. Otherwise, it will start at 'A'.
+    Returns:
+        `np.ndarray` of shape `(num_frequency_bins, num_chroma)`
+    """
+    # Get the FFT bins, not counting the DC component
+    frequencies = np.linspace(0, sampling_rate, num_frequency_bins, endpoint=False)[1:]
+
+    freq_bins = num_chroma * hertz_to_octave(frequencies, tuning=tuning, bins_per_octave=num_chroma)
+
+    # make up a value for the 0 Hz bin = 1.5 octaves below bin 1
+    # (so chroma is 50% rotated from bin 1, and bin width is broad)
+    freq_bins = np.concatenate(([freq_bins[0] - 1.5 * num_chroma], freq_bins))
+
+    bins_width = np.concatenate((np.maximum(freq_bins[1:] - freq_bins[:-1], 1.0), [1]))
+
+    chroma_filters = np.subtract.outer(freq_bins, np.arange(0, num_chroma, dtype="d")).T
+
+    num_chroma2 = np.round(float(num_chroma) / 2)
+
+    # Project into range -num_chroma/2 .. num_chroma/2
+    # add on fixed offset of 10*num_chroma to ensure all values passed to
+    # rem are positive
+    chroma_filters = np.remainder(chroma_filters + num_chroma2 + 10 * num_chroma, num_chroma) - num_chroma2
+
+    # Gaussian bumps - 2*D to make them narrower
+    chroma_filters = np.exp(-0.5 * (2 * chroma_filters / np.tile(bins_width, (num_chroma, 1))) ** 2)
+
+    # normalize each column
+    if power is not None:
+        chroma_filters = chroma_filters / np.sum(chroma_filters**power, axis=0, keepdims=True) ** (1.0 / power)
+
+    # Maybe apply scaling for fft bins
+    if weighting_parameters is not None:
+        center, half_width = weighting_parameters
+        chroma_filters *= np.tile(
+            np.exp(-0.5 * (((freq_bins / num_chroma - center) / half_width) ** 2)),
+            (num_chroma, 1),
+        )
+
+    if start_at_c_chroma:
+        chroma_filters = np.roll(chroma_filters, -3 * (num_chroma // 12), axis=0)
+
+    # remove aliasing columns, copy to ensure row-contiguity
+    return np.ascontiguousarray(chroma_filters[:, : int(1 + num_frequency_bins / 2)])
+
+
+def mel_filter_bank(
+    num_frequency_bins: int,
+    num_mel_filters: int,
+    min_frequency: float,
+    max_frequency: float,
+    sampling_rate: int,
+    norm: Optional[str] = None,
+    mel_scale: str = "htk",
+    triangularize_in_mel_space: bool = False,
+) -> np.ndarray:
+    """
+    Creates a frequency bin conversion matrix used to obtain a mel spectrogram. This is called a *mel filter bank*, and
+    various implementation exist, which differ in the number of filters, the shape of the filters, the way the filters
+    are spaced, the bandwidth of the filters, and the manner in which the spectrum is warped. The goal of these
+    features is to approximate the non-linear human perception of the variation in pitch with respect to the frequency.
+
+    Different banks of mel filters were introduced in the literature. The following variations are supported:
+
+    - MFCC FB-20: introduced in 1980 by Davis and Mermelstein, it assumes a sampling frequency of 10 kHz and a speech
+      bandwidth of `[0, 4600]` Hz.
+    - MFCC FB-24 HTK: from the Cambridge HMM Toolkit (HTK) (1995) uses a filter bank of 24 filters for a speech
+      bandwidth of `[0, 8000]` Hz. This assumes sampling rate ≥ 16 kHz.
+    - MFCC FB-40: from the Auditory Toolbox for MATLAB written by Slaney in 1998, assumes a sampling rate of 16 kHz and
+      speech bandwidth of `[133, 6854]` Hz. This version also includes area normalization.
+    - HFCC-E FB-29 (Human Factor Cepstral Coefficients) of Skowronski and Harris (2004), assumes a sampling rate of
+      12.5 kHz and speech bandwidth of `[0, 6250]` Hz.
+
+    This code is adapted from *torchaudio* and *librosa*. Note that the default parameters of torchaudio's
+    `melscale_fbanks` implement the `"htk"` filters while librosa uses the `"slaney"` implementation.
+
+    Args:
+        num_frequency_bins (`int`):
+            Number of frequencies used to compute the spectrogram (should be the same as in `stft`).
+        num_mel_filters (`int`):
+            Number of mel filters to generate.
+        min_frequency (`float`):
+            Lowest frequency of interest in Hz.
+        max_frequency (`float`):
+            Highest frequency of interest in Hz. This should not exceed `sampling_rate / 2`.
+        sampling_rate (`int`):
+            Sample rate of the audio waveform.
+        norm (`str`, *optional*):
+            If `"slaney"`, divide the triangular mel weights by the width of the mel band (area normalization).
+        mel_scale (`str`, *optional*, defaults to `"htk"`):
+            The mel frequency scale to use, `"htk"`, `"kaldi"` or `"slaney"`.
+        triangularize_in_mel_space (`bool`, *optional*, defaults to `False`):
+            If this option is enabled, the triangular filter is applied in mel space rather than frequency space. This
+            should be set to `true` in order to get the same results as `torchaudio` when computing mel filters.
+
+    Returns:
+        `np.ndarray` of shape (`num_frequency_bins`, `num_mel_filters`): Triangular filter bank matrix. This is a
+        projection matrix to go from a spectrogram to a mel spectrogram.
+    """
+    if norm is not None and norm != "slaney":
+        raise ValueError('norm must be one of None or "slaney"')
+
+    # center points of the triangular mel filters
+    mel_min = hertz_to_mel(min_frequency, mel_scale=mel_scale)
+    mel_max = hertz_to_mel(max_frequency, mel_scale=mel_scale)
+    mel_freqs = np.linspace(mel_min, mel_max, num_mel_filters + 2)
+    filter_freqs = mel_to_hertz(mel_freqs, mel_scale=mel_scale)
+
+    if triangularize_in_mel_space:
+        # frequencies of FFT bins in Hz, but filters triangularized in mel space
+        fft_bin_width = sampling_rate / (num_frequency_bins * 2)
+        fft_freqs = hertz_to_mel(fft_bin_width * np.arange(num_frequency_bins), mel_scale=mel_scale)
+        filter_freqs = mel_freqs
+    else:
+        # frequencies of FFT bins in Hz
+        fft_freqs = np.linspace(0, sampling_rate // 2, num_frequency_bins)
+
+    mel_filters = _create_triangular_filter_bank(fft_freqs, filter_freqs)
+
+    if norm is not None and norm == "slaney":
+        # Slaney-style mel is scaled to be approx constant energy per channel
+        enorm = 2.0 / (filter_freqs[2 : num_mel_filters + 2] - filter_freqs[:num_mel_filters])
+        mel_filters *= np.expand_dims(enorm, 0)
+
+    if (mel_filters.max(axis=0) == 0.0).any():
+        warnings.warn(
+            "At least one mel filter has all zero values. "
+            f"The value for `num_mel_filters` ({num_mel_filters}) may be set too high. "
+            f"Or, the value for `num_frequency_bins` ({num_frequency_bins}) may be set too low."
+        )
+
+    return mel_filters
+
+
+def optimal_fft_length(window_length: int) -> int:
+    """
+    Finds the best FFT input size for a given `window_length`. This function takes a given window length and, if not
+    already a power of two, rounds it up to the next power or two.
+
+    The FFT algorithm works fastest when the length of the input is a power of two, which may be larger than the size
+    of the window or analysis frame. For example, if the window is 400 samples, using an FFT input size of 512 samples
+    is more optimal than an FFT size of 400 samples. Using a larger FFT size does not affect the detected frequencies,
+    it simply gives a higher frequency resolution (i.e. the frequency bins are smaller).
+    """
+    return 2 ** int(np.ceil(np.log2(window_length)))
+
+
+def window_function(
+    window_length: int,
+    name: str = "hann",
+    periodic: bool = True,
+    frame_length: Optional[int] = None,
+    center: bool = True,
+) -> np.ndarray:
+    """
+    Returns an array containing the specified window. This window is intended to be used with `stft`.
+
+    The following window types are supported:
+
+        - `"boxcar"`: a rectangular window
+        - `"hamming"`: the Hamming window
+        - `"hann"`: the Hann window
+        - `"povey"`: the Povey window
+
+    Args:
+        window_length (`int`):
+            The length of the window in samples.
+        name (`str`, *optional*, defaults to `"hann"`):
+            The name of the window function.
+        periodic (`bool`, *optional*, defaults to `True`):
+            Whether the window is periodic or symmetric.
+        frame_length (`int`, *optional*):
+            The length of the analysis frames in samples. Provide a value for `frame_length` if the window is smaller
+            than the frame length, so that it will be zero-padded.
+        center (`bool`, *optional*, defaults to `True`):
+            Whether to center the window inside the FFT buffer. Only used when `frame_length` is provided.
+
+    Returns:
+        `np.ndarray` of shape `(window_length,)` or `(frame_length,)` containing the window.
+    """
+    length = window_length + 1 if periodic else window_length
+
+    if name == "boxcar":
+        window = np.ones(length)
+    elif name in ["hamming", "hamming_window"]:
+        window = np.hamming(length)
+    elif name in ["hann", "hann_window"]:
+        window = np.hanning(length)
+    elif name in ["povey"]:
+        window = np.power(np.hanning(length), 0.85)
+    else:
+        raise ValueError(f"Unknown window function '{name}'")
+
+    if periodic:
+        window = window[:-1]
+
+    if frame_length is None:
+        return window
+
+    if window_length > frame_length:
+        raise ValueError(
+            f"Length of the window ({window_length}) may not be larger than frame_length ({frame_length})"
+        )
+
+    padded_window = np.zeros(frame_length)
+    offset = (frame_length - window_length) // 2 if center else 0
+    padded_window[offset : offset + window_length] = window
+    return padded_window
+
+
+# TODO This method does not support batching yet as we are mainly focused on inference.
+def spectrogram(
+    waveform: np.ndarray,
+    window: np.ndarray,
+    frame_length: int,
+    hop_length: int,
+    fft_length: Optional[int] = None,
+    power: Optional[float] = 1.0,
+    center: bool = True,
+    pad_mode: str = "reflect",
+    onesided: bool = True,
+    preemphasis: Optional[float] = None,
+    mel_filters: Optional[np.ndarray] = None,
+    mel_floor: float = 1e-10,
+    log_mel: Optional[str] = None,
+    reference: float = 1.0,
+    min_value: float = 1e-10,
+    db_range: Optional[float] = None,
+    remove_dc_offset: Optional[bool] = None,
+    dtype: np.dtype = np.float32,
+) -> np.ndarray:
+    """
+    Calculates a spectrogram over one waveform using the Short-Time Fourier Transform.
+
+    This function can create the following kinds of spectrograms:
+
+      - amplitude spectrogram (`power = 1.0`)
+      - power spectrogram (`power = 2.0`)
+      - complex-valued spectrogram (`power = None`)
+      - log spectrogram (use `log_mel` argument)
+      - mel spectrogram (provide `mel_filters`)
+      - log-mel spectrogram (provide `mel_filters` and `log_mel`)
+
+    How this works:
+
+      1. The input waveform is split into frames of size `frame_length` that are partially overlapping by `frame_length
+         - hop_length` samples.
+      2. Each frame is multiplied by the window and placed into a buffer of size `fft_length`.
+      3. The DFT is taken of each windowed frame.
+      4. The results are stacked into a spectrogram.
+
+    We make a distinction between the following "blocks" of sample data, each of which may have a different lengths:
+
+      - The analysis frame. This is the size of the time slices that the input waveform is split into.
+      - The window. Each analysis frame is multiplied by the window to avoid spectral leakage.
+      - The FFT input buffer. The length of this determines how many frequency bins are in the spectrogram.
+
+    In this implementation, the window is assumed to be zero-padded to have the same size as the analysis frame. A
+    padded window can be obtained from `window_function()`. The FFT input buffer may be larger than the analysis frame,
+    typically the next power of two.
+
+    Note: This function is not optimized for speed yet. It should be mostly compatible with `librosa.stft` and
+    `torchaudio.functional.transforms.Spectrogram`, although it is more flexible due to the different ways spectrograms
+    can be constructed.
+
+    Args:
+        waveform (`np.ndarray` of shape `(length,)`):
+            The input waveform. This must be a single real-valued, mono waveform.
+        window (`np.ndarray` of shape `(frame_length,)`):
+            The windowing function to apply, including zero-padding if necessary. The actual window length may be
+            shorter than `frame_length`, but we're assuming the array has already been zero-padded.
+        frame_length (`int`):
+            The length of the analysis frames in samples. With librosa this is always equal to `fft_length` but we also
+            allow smaller sizes.
+        hop_length (`int`):
+            The stride between successive analysis frames in samples.
+        fft_length (`int`, *optional*):
+            The size of the FFT buffer in samples. This determines how many frequency bins the spectrogram will have.
+            For optimal speed, this should be a power of two. If `None`, uses `frame_length`.
+        power (`float`, *optional*, defaults to 1.0):
+            If 1.0, returns the amplitude spectrogram. If 2.0, returns the power spectrogram. If `None`, returns
+            complex numbers.
+        center (`bool`, *optional*, defaults to `True`):
+            Whether to pad the waveform so that frame `t` is centered around time `t * hop_length`. If `False`, frame
+            `t` will start at time `t * hop_length`.
+        pad_mode (`str`, *optional*, defaults to `"reflect"`):
+            Padding mode used when `center` is `True`. Possible values are: `"constant"` (pad with zeros), `"edge"`
+            (pad with edge values), `"reflect"` (pads with mirrored values).
+        onesided (`bool`, *optional*, defaults to `True`):
+            If True, only computes the positive frequencies and returns a spectrogram containing `fft_length // 2 + 1`
+            frequency bins. If False, also computes the negative frequencies and returns `fft_length` frequency bins.
+        preemphasis (`float`, *optional*)
+            Coefficient for a low-pass filter that applies pre-emphasis before the DFT.
+        mel_filters (`np.ndarray` of shape `(num_freq_bins, num_mel_filters)`, *optional*):
+            The mel filter bank. If supplied, applies a this filter bank to create a mel spectrogram.
+        mel_floor (`float`, *optional*, defaults to 1e-10):
+            Minimum value of mel frequency banks.
+        log_mel (`str`, *optional*):
+            How to convert the spectrogram to log scale. Possible options are: `None` (don't convert), `"log"` (take
+            the natural logarithm) `"log10"` (take the base-10 logarithm), `"dB"` (convert to decibels). Can only be
+            used when `power` is not `None`.
+        reference (`float`, *optional*, defaults to 1.0):
+            Sets the input spectrogram value that corresponds to 0 dB. For example, use `np.max(spectrogram)` to set
+            the loudest part to 0 dB. Must be greater than zero.
+        min_value (`float`, *optional*, defaults to `1e-10`):
+            The spectrogram will be clipped to this minimum value before conversion to decibels, to avoid taking
+            `log(0)`. For a power spectrogram, the default of `1e-10` corresponds to a minimum of -100 dB. For an
+            amplitude spectrogram, the value `1e-5` corresponds to -100 dB. Must be greater than zero.
+        db_range (`float`, *optional*):
+            Sets the maximum dynamic range in decibels. For example, if `db_range = 80`, the difference between the
+            peak value and the smallest value will never be more than 80 dB. Must be greater than zero.
+        remove_dc_offset (`bool`, *optional*):
+            Subtract mean from waveform on each frame, applied before pre-emphasis. This should be set to `true` in
+            order to get the same results as `torchaudio.compliance.kaldi.fbank` when computing mel filters.
+        dtype (`np.dtype`, *optional*, defaults to `np.float32`):
+            Data type of the spectrogram tensor. If `power` is None, this argument is ignored and the dtype will be
+            `np.complex64`.
+
+    Returns:
+        `nd.array` containing a spectrogram of shape `(num_frequency_bins, length)` for a regular spectrogram or shape
+        `(num_mel_filters, length)` for a mel spectrogram.
+    """
+    window_length = len(window)
+
+    if fft_length is None:
+        fft_length = frame_length
+
+    if frame_length > fft_length:
+        raise ValueError(f"frame_length ({frame_length}) may not be larger than fft_length ({fft_length})")
+
+    if window_length != frame_length:
+        raise ValueError(f"Length of the window ({window_length}) must equal frame_length ({frame_length})")
+
+    if hop_length <= 0:
+        raise ValueError("hop_length must be greater than zero")
+
+    if waveform.ndim != 1:
+        raise ValueError(f"Input waveform must have only one dimension, shape is {waveform.shape}")
+
+    if np.iscomplexobj(waveform):
+        raise ValueError("Complex-valued input waveforms are not currently supported")
+
+    if power is None and mel_filters is not None:
+        raise ValueError(
+            "You have provided `mel_filters` but `power` is `None`. Mel spectrogram computation is not yet supported for complex-valued spectrogram."
+            "Specify `power` to fix this issue."
+        )
+
+    # center pad the waveform
+    if center:
+        padding = [(int(frame_length // 2), int(frame_length // 2))]
+        waveform = np.pad(waveform, padding, mode=pad_mode)
+
+    # promote to float64, since np.fft uses float64 internally
+    waveform = waveform.astype(np.float64)
+    window = window.astype(np.float64)
+
+    # split waveform into frames of frame_length size
+    num_frames = int(1 + np.floor((waveform.size - frame_length) / hop_length))
+
+    num_frequency_bins = (fft_length // 2) + 1 if onesided else fft_length
+    spectrogram = np.empty((num_frames, num_frequency_bins), dtype=np.complex64)
+
+    # rfft is faster than fft
+    fft_func = np.fft.rfft if onesided else np.fft.fft
+    buffer = np.zeros(fft_length)
+
+    timestep = 0
+    for frame_idx in range(num_frames):
+        buffer[:frame_length] = waveform[timestep : timestep + frame_length]
+
+        if remove_dc_offset:
+            buffer[:frame_length] = buffer[:frame_length] - buffer[:frame_length].mean()
+
+        if preemphasis is not None:
+            buffer[1:frame_length] -= preemphasis * buffer[: frame_length - 1]
+            buffer[0] *= 1 - preemphasis
+
+        buffer[:frame_length] *= window
+
+        spectrogram[frame_idx] = fft_func(buffer)
+        timestep += hop_length
+
+    # note: ** is much faster than np.power
+    if power is not None:
+        spectrogram = np.abs(spectrogram, dtype=np.float64) ** power
+
+    spectrogram = spectrogram.T
+
+    if mel_filters is not None:
+        spectrogram = np.maximum(mel_floor, np.dot(mel_filters.T, spectrogram))
+
+    if power is not None and log_mel is not None:
+        if log_mel == "log":
+            spectrogram = np.log(spectrogram)
+        elif log_mel == "log10":
+            spectrogram = np.log10(spectrogram)
+        elif log_mel == "dB":
+            if power == 1.0:
+                spectrogram = amplitude_to_db(spectrogram, reference, min_value, db_range)
+            elif power == 2.0:
+                spectrogram = power_to_db(spectrogram, reference, min_value, db_range)
+            else:
+                raise ValueError(f"Cannot use log_mel option '{log_mel}' with power {power}")
+        else:
+            raise ValueError(f"Unknown log_mel option: {log_mel}")
+
+        spectrogram = np.asarray(spectrogram, dtype)
+
+    return spectrogram
+
+
+def power_to_db(
+    spectrogram: np.ndarray,
+    reference: float = 1.0,
+    min_value: float = 1e-10,
+    db_range: Optional[float] = None,
+) -> np.ndarray:
+    """
+    Converts a power spectrogram to the decibel scale. This computes `10 * log10(spectrogram / reference)`, using basic
+    logarithm properties for numerical stability.
+
+    The motivation behind applying the log function on the (mel) spectrogram is that humans do not hear loudness on a
+    linear scale. Generally to double the perceived volume of a sound we need to put 8 times as much energy into it.
+    This means that large variations in energy may not sound all that different if the sound is loud to begin with.
+    This compression operation makes the (mel) spectrogram features match more closely what humans actually hear.
+
+    Based on the implementation of `librosa.power_to_db`.
+
+    Args:
+        spectrogram (`np.ndarray`):
+            The input power (mel) spectrogram. Note that a power spectrogram has the amplitudes squared!
+        reference (`float`, *optional*, defaults to 1.0):
+            Sets the input spectrogram value that corresponds to 0 dB. For example, use `np.max(spectrogram)` to set
+            the loudest part to 0 dB. Must be greater than zero.
+        min_value (`float`, *optional*, defaults to `1e-10`):
+            The spectrogram will be clipped to this minimum value before conversion to decibels, to avoid taking
+            `log(0)`. The default of `1e-10` corresponds to a minimum of -100 dB. Must be greater than zero.
+        db_range (`float`, *optional*):
+            Sets the maximum dynamic range in decibels. For example, if `db_range = 80`, the difference between the
+            peak value and the smallest value will never be more than 80 dB. Must be greater than zero.
+
+    Returns:
+        `np.ndarray`: the spectrogram in decibels
+    """
+    if reference <= 0.0:
+        raise ValueError("reference must be greater than zero")
+    if min_value <= 0.0:
+        raise ValueError("min_value must be greater than zero")
+
+    reference = max(min_value, reference)
+
+    spectrogram = np.clip(spectrogram, a_min=min_value, a_max=None)
+    spectrogram = 10.0 * (np.log10(spectrogram) - np.log10(reference))
+
+    if db_range is not None:
+        if db_range <= 0.0:
+            raise ValueError("db_range must be greater than zero")
+        spectrogram = np.clip(spectrogram, a_min=spectrogram.max() - db_range, a_max=None)
+
+    return spectrogram
+
+
+def amplitude_to_db(
+    spectrogram: np.ndarray,
+    reference: float = 1.0,
+    min_value: float = 1e-5,
+    db_range: Optional[float] = None,
+) -> np.ndarray:
+    """
+    Converts an amplitude spectrogram to the decibel scale. This computes `20 * log10(spectrogram / reference)`, using
+    basic logarithm properties for numerical stability.
+
+    The motivation behind applying the log function on the (mel) spectrogram is that humans do not hear loudness on a
+    linear scale. Generally to double the perceived volume of a sound we need to put 8 times as much energy into it.
+    This means that large variations in energy may not sound all that different if the sound is loud to begin with.
+    This compression operation makes the (mel) spectrogram features match more closely what humans actually hear.
+
+    Args:
+        spectrogram (`np.ndarray`):
+            The input amplitude (mel) spectrogram.
+        reference (`float`, *optional*, defaults to 1.0):
+            Sets the input spectrogram value that corresponds to 0 dB. For example, use `np.max(spectrogram)` to set
+            the loudest part to 0 dB. Must be greater than zero.
+        min_value (`float`, *optional*, defaults to `1e-5`):
+            The spectrogram will be clipped to this minimum value before conversion to decibels, to avoid taking
+            `log(0)`. The default of `1e-5` corresponds to a minimum of -100 dB. Must be greater than zero.
+        db_range (`float`, *optional*):
+            Sets the maximum dynamic range in decibels. For example, if `db_range = 80`, the difference between the
+            peak value and the smallest value will never be more than 80 dB. Must be greater than zero.
+
+    Returns:
+        `np.ndarray`: the spectrogram in decibels
+    """
+    if reference <= 0.0:
+        raise ValueError("reference must be greater than zero")
+    if min_value <= 0.0:
+        raise ValueError("min_value must be greater than zero")
+
+    reference = max(min_value, reference)
+
+    spectrogram = np.clip(spectrogram, a_min=min_value, a_max=None)
+    spectrogram = 20.0 * (np.log10(spectrogram) - np.log10(reference))
+
+    if db_range is not None:
+        if db_range <= 0.0:
+            raise ValueError("db_range must be greater than zero")
+        spectrogram = np.clip(spectrogram, a_min=spectrogram.max() - db_range, a_max=None)
+
+    return spectrogram
+
+
+### deprecated functions below this line ###
+
+
+def get_mel_filter_banks(
+    nb_frequency_bins: int,
+    nb_mel_filters: int,
+    frequency_min: float,
+    frequency_max: float,
+    sample_rate: int,
+    norm: Optional[str] = None,
+    mel_scale: str = "htk",
+) -> np.array:
+    warnings.warn(
+        "The function `get_mel_filter_banks` is deprecated and will be removed in version 4.31.0 of Transformers",
+        FutureWarning,
+    )
+    return mel_filter_bank(
+        num_frequency_bins=nb_frequency_bins,
+        num_mel_filters=nb_mel_filters,
+        min_frequency=frequency_min,
+        max_frequency=frequency_max,
+        sampling_rate=sample_rate,
+        norm=norm,
+        mel_scale=mel_scale,
+    )
+
+
+def fram_wave(waveform: np.array, hop_length: int = 160, fft_window_size: int = 400, center: bool = True):
+    """
+    In order to compute the short time fourier transform, the waveform needs to be split in overlapping windowed
+    segments called `frames`.
+
+    The window length (window_length) defines how much of the signal is contained in each frame, while the hop length
+    defines the step between the beginning of each new frame.
+
+
+    Args:
+        waveform (`np.array` of shape `(sample_length,)`):
+            The raw waveform which will be split into smaller chunks.
+        hop_length (`int`, *optional*, defaults to 160):
+            Step between each window of the waveform.
+        fft_window_size (`int`, *optional*, defaults to 400):
+            Defines the size of the window.
+        center (`bool`, defaults to `True`):
+            Whether or not to center each frame around the middle of the frame. Centering is done by reflecting the
+            waveform on the left and on the right.
+
+    Return:
+        framed_waveform (`np.array` of shape `(waveform.shape // hop_length , fft_window_size)`):
+            The framed waveforms that can be fed to `np.fft`.
+    """
+    warnings.warn(
+        "The function `fram_wave` is deprecated and will be removed in version 4.31.0 of Transformers",
+        FutureWarning,
+    )
+    frames = []
+    for i in range(0, waveform.shape[0] + 1, hop_length):
+        if center:
+            half_window = (fft_window_size - 1) // 2 + 1
+            start = i - half_window if i > half_window else 0
+            end = i + half_window if i < waveform.shape[0] - half_window else waveform.shape[0]
+            frame = waveform[start:end]
+            if start == 0:
+                padd_width = (-i + half_window, 0)
+                frame = np.pad(frame, pad_width=padd_width, mode="reflect")
+
+            elif end == waveform.shape[0]:
+                padd_width = (0, (i - waveform.shape[0] + half_window))
+                frame = np.pad(frame, pad_width=padd_width, mode="reflect")
+
+        else:
+            frame = waveform[i : i + fft_window_size]
+            frame_width = frame.shape[0]
+            if frame_width < waveform.shape[0]:
+                frame = np.lib.pad(
+                    frame, pad_width=(0, fft_window_size - frame_width), mode="constant", constant_values=0
+                )
+        frames.append(frame)
+
+    frames = np.stack(frames, 0)
+    return frames
+
+
+def stft(frames: np.array, windowing_function: np.array, fft_window_size: int = None):
+    """
+    Calculates the complex Short-Time Fourier Transform (STFT) of the given framed signal. Should give the same results
+    as `torch.stft`.
+
+    Args:
+        frames (`np.array` of dimension `(num_frames, fft_window_size)`):
+            A framed audio signal obtained using `audio_utils.fram_wav`.
+        windowing_function (`np.array` of dimension `(nb_frequency_bins, nb_mel_filters)`:
+            A array reprensenting the function that will be used to reduces the amplitude of the discontinuities at the
+            boundaries of each frame when computing the STFT. Each frame will be multiplied by the windowing_function.
+            For more information on the discontinuities, called *Spectral leakage*, refer to [this
+            tutorial]https://download.ni.com/evaluation/pxi/Understanding%20FFTs%20and%20Windowing.pdf
+        fft_window_size (`int`, *optional*):
+            Size of the window om which the Fourier transform is applied. This controls the frequency resolution of the
+            spectrogram. 400 means that the fourrier transform is computed on windows of 400 samples. The number of
+            frequency bins (`nb_frequency_bins`) used to divide the window into equal strips is equal to
+            `(1+fft_window_size)//2`. An increase of the fft_window_size slows the calculus time proportionnally.
+
+    Example:
+
+    ```python
+    >>> from transformers.audio_utils import stft, fram_wave
+    >>> import numpy as np
+
+    >>> audio = np.random.rand(50)
+    >>> fft_window_size = 10
+    >>> hop_length = 2
+    >>> framed_audio = fram_wave(audio, hop_length, fft_window_size)
+    >>> spectrogram = stft(framed_audio, np.hanning(fft_window_size + 1))
+    ```
+
+    Returns:
+        spectrogram (`np.ndarray`):
+            A spectrogram of shape `(num_frames, nb_frequency_bins)` obtained using the STFT algorithm
+    """
+    warnings.warn(
+        "The function `stft` is deprecated and will be removed in version 4.31.0 of Transformers",
+        FutureWarning,
+    )
+    frame_size = frames.shape[1]
+
+    if fft_window_size is None:
+        fft_window_size = frame_size
+
+    if fft_window_size < frame_size:
+        raise ValueError("FFT size must greater or equal the frame size")
+    # number of FFT bins to store
+    nb_frequency_bins = (fft_window_size >> 1) + 1
+
+    spectrogram = np.empty((len(frames), nb_frequency_bins), dtype=np.complex64)
+    fft_signal = np.zeros(fft_window_size)
+
+    for f, frame in enumerate(frames):
+        if windowing_function is not None:
+            np.multiply(frame, windowing_function, out=fft_signal[:frame_size])
+        else:
+            fft_signal[:frame_size] = frame
+        spectrogram[f] = np.fft.fft(fft_signal, axis=0)[:nb_frequency_bins]
+    return spectrogram.T