Add files using upload-large-folder tool

1001-sala-de-aula-master/env/lib64/python3.5/site-packages/rest_framework/schemas/inspectors.py

@@ -0,0 +1,79 @@
+"""
+inspectors.py   # Per-endpoint view introspection
+
+See schemas.__init__.py for package overview.
+"""
+from weakref import WeakKeyDictionary
+
+from rest_framework.settings import api_settings
+
+
+class ViewInspector:
+    """
+    Descriptor class on APIView.
+
+    Provide subclass for per-view schema generation
+    """
+
+    def __init__(self):
+        self.instance_schemas = WeakKeyDictionary()
+
+    def __get__(self, instance, owner):
+        """
+        Enables `ViewInspector` as a Python _Descriptor_.
+
+        This is how `view.schema` knows about `view`.
+
+        `__get__` is called when the descriptor is accessed on the owner.
+        (That will be when view.schema is called in our case.)
+
+        `owner` is always the owner class. (An APIView, or subclass for us.)
+        `instance` is the view instance or `None` if accessed from the class,
+        rather than an instance.
+
+        See: https://docs.python.org/3/howto/descriptor.html for info on
+        descriptor usage.
+        """
+        if instance in self.instance_schemas:
+            return self.instance_schemas[instance]
+
+        self.view = instance
+        return self
+
+    def __set__(self, instance, other):
+        self.instance_schemas[instance] = other
+        if other is not None:
+            other.view = instance
+
+    @property
+    def view(self):
+        """View property."""
+        assert self._view is not None, (
+            "Schema generation REQUIRES a view instance. (Hint: you accessed "
+            "`schema` from the view class rather than an instance.)"
+        )
+        return self._view
+
+    @view.setter
+    def view(self, value):
+        self._view = value
+
+    @view.deleter
+    def view(self):
+        self._view = None
+
+
+class DefaultSchema(ViewInspector):
+    """Allows overriding AutoSchema using DEFAULT_SCHEMA_CLASS setting"""
+    def __get__(self, instance, owner):
+        result = super().__get__(instance, owner)
+        if not isinstance(result, DefaultSchema):
+            return result
+
+        inspector_class = api_settings.DEFAULT_SCHEMA_CLASS
+        assert issubclass(inspector_class, ViewInspector), (
+            "DEFAULT_SCHEMA_CLASS must be set to a ViewInspector (usually an AutoSchema) subclass"
+        )
+        inspector = inspector_class()
+        inspector.view = instance
+        return inspector

1001-sala-de-aula-master/env/lib64/python3.5/site-packages/setuptools/command/easy_install.py

@@ -0,0 +1,2315 @@
+#!/usr/bin/env python
+
+"""
+Easy Install
+------------
+
+A tool for doing automatic download/extract/build of distutils-based Python
+packages.  For detailed documentation, see the accompanying EasyInstall.txt
+file, or visit the `EasyInstall home page`__.
+
+__ https://pythonhosted.org/setuptools/easy_install.html
+
+"""
+
+from glob import glob
+from distutils.util import get_platform
+from distutils.util import convert_path, subst_vars
+from distutils.errors import DistutilsArgError, DistutilsOptionError, \
+    DistutilsError, DistutilsPlatformError
+from distutils.command.install import INSTALL_SCHEMES, SCHEME_KEYS
+from distutils import log, dir_util
+from distutils.command.build_scripts import first_line_re
+from distutils.spawn import find_executable
+import sys
+import os
+import zipimport
+import shutil
+import tempfile
+import zipfile
+import re
+import stat
+import random
+import platform
+import textwrap
+import warnings
+import site
+import struct
+import contextlib
+import subprocess
+import shlex
+import io
+
+from setuptools.extern import six
+from setuptools.extern.six.moves import configparser, map
+
+from setuptools import Command
+from setuptools.sandbox import run_setup
+from setuptools.py31compat import get_path, get_config_vars
+from setuptools.command import setopt
+from setuptools.archive_util import unpack_archive
+from setuptools.package_index import PackageIndex
+from setuptools.package_index import URL_SCHEME
+from setuptools.command import bdist_egg, egg_info
+from pkg_resources import (
+    yield_lines, normalize_path, resource_string, ensure_directory,
+    get_distribution, find_distributions, Environment, Requirement,
+    Distribution, PathMetadata, EggMetadata, WorkingSet, DistributionNotFound,
+    VersionConflict, DEVELOP_DIST,
+)
+import pkg_resources
+
+# Turn on PEP440Warnings
+warnings.filterwarnings("default", category=pkg_resources.PEP440Warning)
+
+
+__all__ = [
+    'samefile', 'easy_install', 'PthDistributions', 'extract_wininst_cfg',
+    'main', 'get_exe_prefixes',
+]
+
+
+def is_64bit():
+    return struct.calcsize("P") == 8
+
+
+def samefile(p1, p2):
+    both_exist = os.path.exists(p1) and os.path.exists(p2)
+    use_samefile = hasattr(os.path, 'samefile') and both_exist
+    if use_samefile:
+        return os.path.samefile(p1, p2)
+    norm_p1 = os.path.normpath(os.path.normcase(p1))
+    norm_p2 = os.path.normpath(os.path.normcase(p2))
+    return norm_p1 == norm_p2
+
+
+if six.PY2:
+    def _to_ascii(s):
+        return s
+
+    def isascii(s):
+        try:
+            six.text_type(s, 'ascii')
+            return True
+        except UnicodeError:
+            return False
+else:
+    def _to_ascii(s):
+        return s.encode('ascii')
+
+    def isascii(s):
+        try:
+            s.encode('ascii')
+            return True
+        except UnicodeError:
+            return False
+
+
+class easy_install(Command):
+    """Manage a download/build/install process"""
+    description = "Find/get/install Python packages"
+    command_consumes_arguments = True
+
+    user_options = [
+        ('prefix=', None, "installation prefix"),
+        ("zip-ok", "z", "install package as a zipfile"),
+        ("multi-version", "m", "make apps have to require() a version"),
+        ("upgrade", "U", "force upgrade (searches PyPI for latest versions)"),
+        ("install-dir=", "d", "install package to DIR"),
+        ("script-dir=", "s", "install scripts to DIR"),
+        ("exclude-scripts", "x", "Don't install scripts"),
+        ("always-copy", "a", "Copy all needed packages to install dir"),
+        ("index-url=", "i", "base URL of Python Package Index"),
+        ("find-links=", "f", "additional URL(s) to search for packages"),
+        ("build-directory=", "b",
+         "download/extract/build in DIR; keep the results"),
+        ('optimize=', 'O',
+         "also compile with optimization: -O1 for \"python -O\", "
+         "-O2 for \"python -OO\", and -O0 to disable [default: -O0]"),
+        ('record=', None,
+         "filename in which to record list of installed files"),
+        ('always-unzip', 'Z', "don't install as a zipfile, no matter what"),
+        ('site-dirs=', 'S', "list of directories where .pth files work"),
+        ('editable', 'e', "Install specified packages in editable form"),
+        ('no-deps', 'N', "don't install dependencies"),
+        ('allow-hosts=', 'H', "pattern(s) that hostnames must match"),
+        ('local-snapshots-ok', 'l',
+         "allow building eggs from local checkouts"),
+        ('version', None, "print version information and exit"),
+        ('install-layout=', None, "installation layout to choose (known values: deb)"),
+        ('force-installation-into-system-dir', '0', "force installation into /usr"),
+        ('no-find-links', None,
+         "Don't load find-links defined in packages being installed")
+    ]
+    boolean_options = [
+        'zip-ok', 'multi-version', 'exclude-scripts', 'upgrade', 'always-copy',
+        'editable',
+        'no-deps', 'local-snapshots-ok', 'version', 'force-installation-into-system-dir'
+    ]
+
+    if site.ENABLE_USER_SITE:
+        help_msg = "install in user site-package '%s'" % site.USER_SITE
+        user_options.append(('user', None, help_msg))
+        boolean_options.append('user')
+
+    negative_opt = {'always-unzip': 'zip-ok'}
+    create_index = PackageIndex
+
+    def initialize_options(self):
+        # the --user option seems to be an opt-in one,
+        # so the default should be False.
+        self.user = 0
+        self.zip_ok = self.local_snapshots_ok = None
+        self.install_dir = self.script_dir = self.exclude_scripts = None
+        self.index_url = None
+        self.find_links = None
+        self.build_directory = None
+        self.args = None
+        self.optimize = self.record = None
+        self.upgrade = self.always_copy = self.multi_version = None
+        self.editable = self.no_deps = self.allow_hosts = None
+        self.root = self.prefix = self.no_report = None
+        self.version = None
+        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_base = None
+        self.install_platbase = None
+        if site.ENABLE_USER_SITE:
+            self.install_userbase = site.USER_BASE
+            self.install_usersite = site.USER_SITE
+        else:
+            self.install_userbase = None
+            self.install_usersite = None
+        self.no_find_links = None
+
+        # Options not specifiable via command line
+        self.package_index = None
+        self.pth_file = self.always_copy_from = None
+        self.site_dirs = None
+        self.installed_projects = {}
+        self.sitepy_installed = False
+        # enable custom installation, known values: deb
+        self.install_layout = None
+        self.force_installation_into_system_dir = None
+        self.multiarch = None
+
+        # Always read easy_install options, even if we are subclassed, or have
+        # an independent instance created.  This ensures that defaults will
+        # always come from the standard configuration file(s)' "easy_install"
+        # section, even if this is a "develop" or "install" command, or some
+        # other embedding.
+        self._dry_run = None
+        self.verbose = self.distribution.verbose
+        self.distribution._set_command_options(
+            self, self.distribution.get_option_dict('easy_install')
+        )
+
+    def delete_blockers(self, blockers):
+        extant_blockers = (
+            filename for filename in blockers
+            if os.path.exists(filename) or os.path.islink(filename)
+        )
+        list(map(self._delete_path, extant_blockers))
+
+    def _delete_path(self, path):
+        log.info("Deleting %s", path)
+        if self.dry_run:
+            return
+
+        is_tree = os.path.isdir(path) and not os.path.islink(path)
+        remover = rmtree if is_tree else os.unlink
+        remover(path)
+
+    @staticmethod
+    def _render_version():
+        """
+        Render the Setuptools version and installation details, then exit.
+        """
+        ver = sys.version[:3]
+        dist = get_distribution('setuptools')
+        tmpl = 'setuptools {dist.version} from {dist.location} (Python {ver})'
+        print(tmpl.format(**locals()))
+        raise SystemExit()
+
+    def finalize_options(self):
+        self.version and self._render_version()
+
+        py_version = sys.version.split()[0]
+        prefix, exec_prefix = get_config_vars('prefix', 'exec_prefix')
+
+        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': py_version[0:3],
+            'py_version_nodot': py_version[0] + py_version[2],
+            'sys_prefix': prefix,
+            'prefix': prefix,
+            'sys_exec_prefix': exec_prefix,
+            'exec_prefix': exec_prefix,
+            # Only python 3.2+ has abiflags
+            'abiflags': getattr(sys, 'abiflags', ''),
+        }
+
+        if site.ENABLE_USER_SITE:
+            self.config_vars['userbase'] = self.install_userbase
+            self.config_vars['usersite'] = self.install_usersite
+
+        self._fix_install_dir_for_user_site()
+
+        self.expand_basedirs()
+        self.expand_dirs()
+
+        if self.install_layout:
+            if not self.install_layout.lower() in ['deb']:
+                raise DistutilsOptionError("unknown value for --install-layout")
+            self.install_layout = self.install_layout.lower()
+            import sysconfig
+            if sys.version_info[:2] >= (3, 3):
+                self.multiarch = sysconfig.get_config_var('MULTIARCH')
+        self._expand('install_dir', 'script_dir', 'build_directory',
+                     'site_dirs')
+        # If a non-default installation directory was specified, default the
+        # script directory to match it.
+        if self.script_dir is None:
+            self.script_dir = self.install_dir
+
+        if self.no_find_links is None:
+            self.no_find_links = False
+
+        # Let install_dir get set by install_lib command, which in turn
+        # gets its info from the install command, and takes into account
+        # --prefix and --home and all that other crud.
+        self.set_undefined_options(
+            'install_lib', ('install_dir', 'install_dir')
+        )
+        # Likewise, set default script_dir from 'install_scripts.install_dir'
+        self.set_undefined_options(
+            'install_scripts', ('install_dir', 'script_dir')
+        )
+
+        if self.user and self.install_purelib:
+            self.install_dir = self.install_purelib
+            self.script_dir = self.install_scripts
+
+        if self.prefix == '/usr' and not self.force_installation_into_system_dir:
+            raise DistutilsOptionError("""installation into /usr
+
+Trying to install into the system managed parts of the file system. Please
+consider to install to another location, or use the option
+--force-installation-into-system-dir to overwrite this warning.
+""")
+
+        # default --record from the install command
+        self.set_undefined_options('install', ('record', 'record'))
+        # Should this be moved to the if statement below? It's not used
+        # elsewhere
+        normpath = map(normalize_path, sys.path)
+        self.all_site_dirs = get_site_dirs()
+        if self.site_dirs is not None:
+            site_dirs = [
+                os.path.expanduser(s.strip()) for s in
+                self.site_dirs.split(',')
+            ]
+            for d in site_dirs:
+                if not os.path.isdir(d):
+                    log.warn("%s (in --site-dirs) does not exist", d)
+                elif normalize_path(d) not in normpath:
+                    raise DistutilsOptionError(
+                        d + " (in --site-dirs) is not on sys.path"
+                    )
+                else:
+                    self.all_site_dirs.append(normalize_path(d))
+        if not self.editable:
+            self.check_site_dir()
+        self.index_url = self.index_url or "https://pypi.python.org/simple"
+        self.shadow_path = self.all_site_dirs[:]
+        for path_item in self.install_dir, normalize_path(self.script_dir):
+            if path_item not in self.shadow_path:
+                self.shadow_path.insert(0, path_item)
+
+        if self.allow_hosts is not None:
+            hosts = [s.strip() for s in self.allow_hosts.split(',')]
+        else:
+            hosts = ['*']
+        if self.package_index is None:
+            self.package_index = self.create_index(
+                self.index_url, search_path=self.shadow_path, hosts=hosts,
+            )
+        self.local_index = Environment(self.shadow_path + sys.path)
+
+        if self.find_links is not None:
+            if isinstance(self.find_links, six.string_types):
+                self.find_links = self.find_links.split()
+        else:
+            self.find_links = []
+        if self.local_snapshots_ok:
+            self.package_index.scan_egg_links(self.shadow_path + sys.path)
+        if not self.no_find_links:
+            self.package_index.add_find_links(self.find_links)
+        self.set_undefined_options('install_lib', ('optimize', 'optimize'))
+        if not isinstance(self.optimize, int):
+            try:
+                self.optimize = int(self.optimize)
+                if not (0 <= self.optimize <= 2):
+                    raise ValueError
+            except ValueError:
+                raise DistutilsOptionError("--optimize must be 0, 1, or 2")
+
+        if self.editable and not self.build_directory:
+            raise DistutilsArgError(
+                "Must specify a build directory (-b) when using --editable"
+            )
+        if not self.args:
+            raise DistutilsArgError(
+                "No urls, filenames, or requirements specified (see --help)")
+
+        self.outputs = []
+
+    def _fix_install_dir_for_user_site(self):
+        """
+        Fix the install_dir if "--user" was used.
+        """
+        if not self.user or not site.ENABLE_USER_SITE:
+            return
+
+        self.create_home_path()
+        if self.install_userbase is None:
+            msg = "User base directory is not specified"
+            raise DistutilsPlatformError(msg)
+        self.install_base = self.install_platbase = self.install_userbase
+        scheme_name = os.name.replace('posix', 'unix') + '_user'
+        self.select_scheme(scheme_name)
+
+    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 run(self):
+        if self.verbose != self.distribution.verbose:
+            log.set_verbosity(self.verbose)
+        try:
+            for spec in self.args:
+                self.easy_install(spec, not self.no_deps)
+            if self.record:
+                outputs = self.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:]
+                from distutils import file_util
+
+                self.execute(
+                    file_util.write_file, (self.record, outputs),
+                    "writing list of installed files to '%s'" %
+                    self.record
+                )
+            self.warn_deprecated_options()
+        finally:
+            log.set_verbosity(self.distribution.verbose)
+
+    def pseudo_tempname(self):
+        """Return a pseudo-tempname base in the install directory.
+        This code is intentionally naive; if a malicious party can write to
+        the target directory you're already in deep doodoo.
+        """
+        try:
+            pid = os.getpid()
+        except:
+            pid = random.randint(0, sys.maxsize)
+        return os.path.join(self.install_dir, "test-easy-install-%s" % pid)
+
+    def warn_deprecated_options(self):
+        pass
+
+    def check_site_dir(self):
+        """Verify that self.install_dir is .pth-capable dir, if needed"""
+
+        instdir = normalize_path(self.install_dir)
+        pth_file = os.path.join(instdir, 'easy-install.pth')
+
+        # Is it a configured, PYTHONPATH, implicit, or explicit site dir?
+        is_site_dir = instdir in self.all_site_dirs
+
+        if not is_site_dir and not self.multi_version:
+            # No?  Then directly test whether it does .pth file processing
+            is_site_dir = self.check_pth_processing()
+        else:
+            # make sure we can write to target dir
+            testfile = self.pseudo_tempname() + '.write-test'
+            test_exists = os.path.exists(testfile)
+            try:
+                if test_exists:
+                    os.unlink(testfile)
+                open(testfile, 'w').close()
+                os.unlink(testfile)
+            except (OSError, IOError):
+                self.cant_write_to_target()
+
+        if not is_site_dir and not self.multi_version:
+            # Can't install non-multi to non-site dir
+            raise DistutilsError(self.no_default_version_msg())
+
+        if is_site_dir:
+            if self.pth_file is None:
+                self.pth_file = PthDistributions(pth_file, self.all_site_dirs)
+        else:
+            self.pth_file = None
+
+        PYTHONPATH = os.environ.get('PYTHONPATH', '').split(os.pathsep)
+        if instdir not in map(normalize_path, filter(None, PYTHONPATH)):
+            # only PYTHONPATH dirs need a site.py, so pretend it's there
+            self.sitepy_installed = True
+        elif self.multi_version and not os.path.exists(pth_file):
+            self.sitepy_installed = True  # don't need site.py in this case
+            self.pth_file = None  # and don't create a .pth file
+        self.install_dir = instdir
+
+    __cant_write_msg = textwrap.dedent("""
+        can't create or remove files in install directory
+
+        The following error occurred while trying to add or remove files in the
+        installation directory:
+
+            %s
+
+        The installation directory you specified (via --install-dir, --prefix, or
+        the distutils default setting) was:
+
+            %s
+        """).lstrip()
+
+    __not_exists_id = textwrap.dedent("""
+        This directory does not currently exist.  Please create it and try again, or
+        choose a different installation directory (using the -d or --install-dir
+        option).
+        """).lstrip()
+
+    __access_msg = textwrap.dedent("""
+        Perhaps your account does not have write access to this directory?  If the
+        installation directory is a system-owned directory, you may need to sign in
+        as the administrator or "root" account.  If you do not have administrative
+        access to this machine, you may wish to choose a different installation
+        directory, preferably one that is listed in your PYTHONPATH environment
+        variable.
+
+        For information on other options, you may wish to consult the
+        documentation at:
+
+          https://pythonhosted.org/setuptools/easy_install.html
+
+        Please make the appropriate changes for your system and try again.
+        """).lstrip()
+
+    def cant_write_to_target(self):
+        msg = self.__cant_write_msg % (sys.exc_info()[1], self.install_dir,)
+
+        if not os.path.exists(self.install_dir):
+            msg += '\n' + self.__not_exists_id
+        else:
+            msg += '\n' + self.__access_msg
+        raise DistutilsError(msg)
+
+    def check_pth_processing(self):
+        """Empirically verify whether .pth files are supported in inst. dir"""
+        instdir = self.install_dir
+        log.info("Checking .pth file support in %s", instdir)
+        pth_file = self.pseudo_tempname() + ".pth"
+        ok_file = pth_file + '.ok'
+        ok_exists = os.path.exists(ok_file)
+        try:
+            if ok_exists:
+                os.unlink(ok_file)
+            dirname = os.path.dirname(ok_file)
+            if not os.path.exists(dirname):
+                os.makedirs(dirname)
+            f = open(pth_file, 'w')
+        except (OSError, IOError):
+            self.cant_write_to_target()
+        else:
+            try:
+                f.write("import os; f = open(%r, 'w'); f.write('OK'); "
+                        "f.close()\n" % (ok_file,))
+                f.close()
+                f = None
+                executable = sys.executable
+                if os.name == 'nt':
+                    dirname, basename = os.path.split(executable)
+                    alt = os.path.join(dirname, 'pythonw.exe')
+                    if (basename.lower() == 'python.exe' and
+                            os.path.exists(alt)):
+                        # use pythonw.exe to avoid opening a console window
+                        executable = alt
+
+                from distutils.spawn import spawn
+
+                spawn([executable, '-E', '-c', 'pass'], 0)
+
+                if os.path.exists(ok_file):
+                    log.info(
+                        "TEST PASSED: %s appears to support .pth files",
+                        instdir
+                    )
+                    return True
+            finally:
+                if f:
+                    f.close()
+                if os.path.exists(ok_file):
+                    os.unlink(ok_file)
+                if os.path.exists(pth_file):
+                    os.unlink(pth_file)
+        if not self.multi_version:
+            log.warn("TEST FAILED: %s does NOT support .pth files", instdir)
+        return False
+
+    def install_egg_scripts(self, dist):
+        """Write all the scripts for `dist`, unless scripts are excluded"""
+        if not self.exclude_scripts and dist.metadata_isdir('scripts'):
+            for script_name in dist.metadata_listdir('scripts'):
+                if dist.metadata_isdir('scripts/' + script_name):
+                    # The "script" is a directory, likely a Python 3
+                    # __pycache__ directory, so skip it.
+                    continue
+                self.install_script(
+                    dist, script_name,
+                    dist.get_metadata('scripts/' + script_name)
+                )
+        self.install_wrapper_scripts(dist)
+
+    def add_output(self, path):
+        if os.path.isdir(path):
+            for base, dirs, files in os.walk(path):
+                for filename in files:
+                    self.outputs.append(os.path.join(base, filename))
+        else:
+            self.outputs.append(path)
+
+    def not_editable(self, spec):
+        if self.editable:
+            raise DistutilsArgError(
+                "Invalid argument %r: you can't use filenames or URLs "
+                "with --editable (except via the --find-links option)."
+                % (spec,)
+            )
+
+    def check_editable(self, spec):
+        if not self.editable:
+            return
+
+        if os.path.exists(os.path.join(self.build_directory, spec.key)):
+            raise DistutilsArgError(
+                "%r already exists in %s; can't do a checkout there" %
+                (spec.key, self.build_directory)
+            )
+
+    def easy_install(self, spec, deps=False):
+        tmpdir = tempfile.mkdtemp(prefix="easy_install-")
+        download = None
+        if not self.editable:
+            self.install_site_py()
+
+        try:
+            if not isinstance(spec, Requirement):
+                if URL_SCHEME(spec):
+                    # It's a url, download it to tmpdir and process
+                    self.not_editable(spec)
+                    download = self.package_index.download(spec, tmpdir)
+                    return self.install_item(None, download, tmpdir, deps,
+                                             True)
+
+                elif os.path.exists(spec):
+                    # Existing file or directory, just process it directly
+                    self.not_editable(spec)
+                    return self.install_item(None, spec, tmpdir, deps, True)
+                else:
+                    spec = parse_requirement_arg(spec)
+
+            self.check_editable(spec)
+            dist = self.package_index.fetch_distribution(
+                spec, tmpdir, self.upgrade, self.editable,
+                not self.always_copy, self.local_index
+            )
+            if dist is None:
+                msg = "Could not find suitable distribution for %r" % spec
+                if self.always_copy:
+                    msg += " (--always-copy skips system and development eggs)"
+                raise DistutilsError(msg)
+            elif dist.precedence == DEVELOP_DIST:
+                # .egg-info dists don't need installing, just process deps
+                self.process_distribution(spec, dist, deps, "Using")
+                return dist
+            else:
+                return self.install_item(spec, dist.location, tmpdir, deps)
+
+        finally:
+            if os.path.exists(tmpdir):
+                rmtree(tmpdir)
+
+    def install_item(self, spec, download, tmpdir, deps, install_needed=False):
+
+        # Installation is also needed if file in tmpdir or is not an egg
+        install_needed = install_needed or self.always_copy
+        install_needed = install_needed or os.path.dirname(download) == tmpdir
+        install_needed = install_needed or not download.endswith('.egg')
+        install_needed = install_needed or (
+            self.always_copy_from is not None and
+            os.path.dirname(normalize_path(download)) ==
+            normalize_path(self.always_copy_from)
+        )
+
+        if spec and not install_needed:
+            # at this point, we know it's a local .egg, we just don't know if
+            # it's already installed.
+            for dist in self.local_index[spec.project_name]:
+                if dist.location == download:
+                    break
+            else:
+                install_needed = True  # it's not in the local index
+
+        log.info("Processing %s", os.path.basename(download))
+
+        if install_needed:
+            dists = self.install_eggs(spec, download, tmpdir)
+            for dist in dists:
+                self.process_distribution(spec, dist, deps)
+        else:
+            dists = [self.egg_distribution(download)]
+            self.process_distribution(spec, dists[0], deps, "Using")
+
+        if spec is not None:
+            for dist in dists:
+                if dist in spec:
+                    return dist
+
+    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!
+        scheme = INSTALL_SCHEMES[name]
+        for key in SCHEME_KEYS:
+            attrname = 'install_' + key
+            if getattr(self, attrname) is None:
+                setattr(self, attrname, scheme[key])
+
+    def process_distribution(self, requirement, dist, deps=True, *info):
+        self.update_pth(dist)
+        self.package_index.add(dist)
+        if dist in self.local_index[dist.key]:
+            self.local_index.remove(dist)
+        self.local_index.add(dist)
+        self.install_egg_scripts(dist)
+        self.installed_projects[dist.key] = dist
+        log.info(self.installation_report(requirement, dist, *info))
+        if (dist.has_metadata('dependency_links.txt') and
+                not self.no_find_links):
+            self.package_index.add_find_links(
+                dist.get_metadata_lines('dependency_links.txt')
+            )
+        if not deps and not self.always_copy:
+            return
+        elif requirement is not None and dist.key != requirement.key:
+            log.warn("Skipping dependencies for %s", dist)
+            return  # XXX this is not the distribution we were looking for
+        elif requirement is None or dist not in requirement:
+            # if we wound up with a different version, resolve what we've got
+            distreq = dist.as_requirement()
+            requirement = Requirement(str(distreq))
+        log.info("Processing dependencies for %s", requirement)
+        try:
+            distros = WorkingSet([]).resolve(
+                [requirement], self.local_index, self.easy_install
+            )
+        except DistributionNotFound as e:
+            raise DistutilsError(str(e))
+        except VersionConflict as e:
+            raise DistutilsError(e.report())
+        if self.always_copy or self.always_copy_from:
+            # Force all the relevant distros to be copied or activated
+            for dist in distros:
+                if dist.key not in self.installed_projects:
+                    self.easy_install(dist.as_requirement())
+        log.info("Finished processing dependencies for %s", requirement)
+
+    def should_unzip(self, dist):
+        if self.zip_ok is not None:
+            return not self.zip_ok
+        if dist.has_metadata('not-zip-safe'):
+            return True
+        if not dist.has_metadata('zip-safe'):
+            return True
+        return False
+
+    def maybe_move(self, spec, dist_filename, setup_base):
+        dst = os.path.join(self.build_directory, spec.key)
+        if os.path.exists(dst):
+            msg = ("%r already exists in %s; build directory %s will not be "
+                   "kept")
+            log.warn(msg, spec.key, self.build_directory, setup_base)
+            return setup_base
+        if os.path.isdir(dist_filename):
+            setup_base = dist_filename
+        else:
+            if os.path.dirname(dist_filename) == setup_base:
+                os.unlink(dist_filename)  # get it out of the tmp dir
+            contents = os.listdir(setup_base)
+            if len(contents) == 1:
+                dist_filename = os.path.join(setup_base, contents[0])
+                if os.path.isdir(dist_filename):
+                    # if the only thing there is a directory, move it instead
+                    setup_base = dist_filename
+        ensure_directory(dst)
+        shutil.move(setup_base, dst)
+        return dst
+
+    def install_wrapper_scripts(self, dist):
+        if self.exclude_scripts:
+            return
+        for args in ScriptWriter.best().get_args(dist):
+            self.write_script(*args)
+
+    def install_script(self, dist, script_name, script_text, dev_path=None):
+        """Generate a legacy script wrapper and install it"""
+        spec = str(dist.as_requirement())
+        is_script = is_python_script(script_text, script_name)
+
+        if is_script:
+            body = self._load_template(dev_path) % locals()
+            script_text = ScriptWriter.get_header(script_text) + body
+        self.write_script(script_name, _to_ascii(script_text), 'b')
+
+    @staticmethod
+    def _load_template(dev_path):
+        """
+        There are a couple of template scripts in the package. This
+        function loads one of them and prepares it for use.
+        """
+        # See https://github.com/pypa/setuptools/issues/134 for info
+        # on script file naming and downstream issues with SVR4
+        name = 'script.tmpl'
+        if dev_path:
+            name = name.replace('.tmpl', ' (dev).tmpl')
+
+        raw_bytes = resource_string('setuptools', name)
+        return raw_bytes.decode('utf-8')
+
+    def write_script(self, script_name, contents, mode="t", blockers=()):
+        """Write an executable file to the scripts directory"""
+        self.delete_blockers(  # clean up old .py/.pyw w/o a script
+            [os.path.join(self.script_dir, x) for x in blockers]
+        )
+        log.info("Installing %s script to %s", script_name, self.script_dir)
+        target = os.path.join(self.script_dir, script_name)
+        self.add_output(target)
+
+        mask = current_umask()
+        if not self.dry_run:
+            ensure_directory(target)
+            if os.path.exists(target):
+                os.unlink(target)
+            with open(target, "w" + mode) as f:
+                f.write(contents)
+            chmod(target, 0o777 - mask)
+
+    def install_eggs(self, spec, dist_filename, tmpdir):
+        # .egg dirs or files are already built, so just return them
+        if dist_filename.lower().endswith('.egg'):
+            return [self.install_egg(dist_filename, tmpdir)]
+        elif dist_filename.lower().endswith('.exe'):
+            return [self.install_exe(dist_filename, tmpdir)]
+
+        # Anything else, try to extract and build
+        setup_base = tmpdir
+        if os.path.isfile(dist_filename) and not dist_filename.endswith('.py'):
+            unpack_archive(dist_filename, tmpdir, self.unpack_progress)
+        elif os.path.isdir(dist_filename):
+            setup_base = os.path.abspath(dist_filename)
+
+        if (setup_base.startswith(tmpdir)  # something we downloaded
+                and self.build_directory and spec is not None):
+            setup_base = self.maybe_move(spec, dist_filename, setup_base)
+
+        # Find the setup.py file
+        setup_script = os.path.join(setup_base, 'setup.py')
+
+        if not os.path.exists(setup_script):
+            setups = glob(os.path.join(setup_base, '*', 'setup.py'))
+            if not setups:
+                raise DistutilsError(
+                    "Couldn't find a setup script in %s" %
+                    os.path.abspath(dist_filename)
+                )
+            if len(setups) > 1:
+                raise DistutilsError(
+                    "Multiple setup scripts in %s" %
+                    os.path.abspath(dist_filename)
+                )
+            setup_script = setups[0]
+
+        # Now run it, and return the result
+        if self.editable:
+            log.info(self.report_editable(spec, setup_script))
+            return []
+        else:
+            return self.build_and_install(setup_script, setup_base)
+
+    def egg_distribution(self, egg_path):
+        if os.path.isdir(egg_path):
+            metadata = PathMetadata(egg_path, os.path.join(egg_path,
+                                                           'EGG-INFO'))
+        else:
+            metadata = EggMetadata(zipimport.zipimporter(egg_path))
+        return Distribution.from_filename(egg_path, metadata=metadata)
+
+    def install_egg(self, egg_path, tmpdir):
+        destination = os.path.join(self.install_dir,
+                                   os.path.basename(egg_path))
+        destination = os.path.abspath(destination)
+        if not self.dry_run:
+            ensure_directory(destination)
+
+        dist = self.egg_distribution(egg_path)
+        if not samefile(egg_path, destination):
+            if os.path.isdir(destination) and not os.path.islink(destination):
+                dir_util.remove_tree(destination, dry_run=self.dry_run)
+            elif os.path.exists(destination):
+                self.execute(os.unlink, (destination,), "Removing " +
+                             destination)
+            try:
+                new_dist_is_zipped = False
+                if os.path.isdir(egg_path):
+                    if egg_path.startswith(tmpdir):
+                        f, m = shutil.move, "Moving"
+                    else:
+                        f, m = shutil.copytree, "Copying"
+                elif self.should_unzip(dist):
+                    self.mkpath(destination)
+                    f, m = self.unpack_and_compile, "Extracting"
+                else:
+                    new_dist_is_zipped = True
+                    if egg_path.startswith(tmpdir):
+                        f, m = shutil.move, "Moving"
+                    else:
+                        f, m = shutil.copy2, "Copying"
+                self.execute(f, (egg_path, destination),
+                             (m + " %s to %s") %
+                             (os.path.basename(egg_path),
+                              os.path.dirname(destination)))
+                update_dist_caches(destination,
+                                   fix_zipimporter_caches=new_dist_is_zipped)
+            except:
+                update_dist_caches(destination, fix_zipimporter_caches=False)
+                raise
+
+        self.add_output(destination)
+        return self.egg_distribution(destination)
+
+    def install_exe(self, dist_filename, tmpdir):
+        # See if it's valid, get data
+        cfg = extract_wininst_cfg(dist_filename)
+        if cfg is None:
+            raise DistutilsError(
+                "%s is not a valid distutils Windows .exe" % dist_filename
+            )
+        # Create a dummy distribution object until we build the real distro
+        dist = Distribution(
+            None,
+            project_name=cfg.get('metadata', 'name'),
+            version=cfg.get('metadata', 'version'), platform=get_platform(),
+        )
+
+        # Convert the .exe to an unpacked egg
+        egg_path = dist.location = os.path.join(tmpdir, dist.egg_name() +
+                                                '.egg')
+        egg_tmp = egg_path + '.tmp'
+        _egg_info = os.path.join(egg_tmp, 'EGG-INFO')
+        pkg_inf = os.path.join(_egg_info, 'PKG-INFO')
+        ensure_directory(pkg_inf)  # make sure EGG-INFO dir exists
+        dist._provider = PathMetadata(egg_tmp, _egg_info)  # XXX
+        self.exe_to_egg(dist_filename, egg_tmp)
+
+        # Write EGG-INFO/PKG-INFO
+        if not os.path.exists(pkg_inf):
+            f = open(pkg_inf, 'w')
+            f.write('Metadata-Version: 1.0\n')
+            for k, v in cfg.items('metadata'):
+                if k != 'target_version':
+                    f.write('%s: %s\n' % (k.replace('_', '-').title(), v))
+            f.close()
+        script_dir = os.path.join(_egg_info, 'scripts')
+        # delete entry-point scripts to avoid duping
+        self.delete_blockers(
+            [os.path.join(script_dir, args[0]) for args in
+             ScriptWriter.get_args(dist)]
+        )
+        # Build .egg file from tmpdir
+        bdist_egg.make_zipfile(
+            egg_path, egg_tmp, verbose=self.verbose, dry_run=self.dry_run
+        )
+        # install the .egg
+        return self.install_egg(egg_path, tmpdir)
+
+    def exe_to_egg(self, dist_filename, egg_tmp):
+        """Extract a bdist_wininst to the directories an egg would use"""
+        # Check for .pth file and set up prefix translations
+        prefixes = get_exe_prefixes(dist_filename)
+        to_compile = []
+        native_libs = []
+        top_level = {}
+
+        def process(src, dst):
+            s = src.lower()
+            for old, new in prefixes:
+                if s.startswith(old):
+                    src = new + src[len(old):]
+                    parts = src.split('/')
+                    dst = os.path.join(egg_tmp, *parts)
+                    dl = dst.lower()
+                    if dl.endswith('.pyd') or dl.endswith('.dll'):
+                        parts[-1] = bdist_egg.strip_module(parts[-1])
+                        top_level[os.path.splitext(parts[0])[0]] = 1
+                        native_libs.append(src)
+                    elif dl.endswith('.py') and old != 'SCRIPTS/':
+                        top_level[os.path.splitext(parts[0])[0]] = 1
+                        to_compile.append(dst)
+                    return dst
+            if not src.endswith('.pth'):
+                log.warn("WARNING: can't process %s", src)
+            return None
+
+        # extract, tracking .pyd/.dll->native_libs and .py -> to_compile
+        unpack_archive(dist_filename, egg_tmp, process)
+        stubs = []
+        for res in native_libs:
+            if res.lower().endswith('.pyd'):  # create stubs for .pyd's
+                parts = res.split('/')
+                resource = parts[-1]
+                parts[-1] = bdist_egg.strip_module(parts[-1]) + '.py'
+                pyfile = os.path.join(egg_tmp, *parts)
+                to_compile.append(pyfile)
+                stubs.append(pyfile)
+                bdist_egg.write_stub(resource, pyfile)
+        self.byte_compile(to_compile)  # compile .py's
+        bdist_egg.write_safety_flag(
+            os.path.join(egg_tmp, 'EGG-INFO'),
+            bdist_egg.analyze_egg(egg_tmp, stubs))  # write zip-safety flag
+
+        for name in 'top_level', 'native_libs':
+            if locals()[name]:
+                txt = os.path.join(egg_tmp, 'EGG-INFO', name + '.txt')
+                if not os.path.exists(txt):
+                    f = open(txt, 'w')
+                    f.write('\n'.join(locals()[name]) + '\n')
+                    f.close()
+
+    __mv_warning = textwrap.dedent("""
+        Because this distribution was installed --multi-version, before you can
+        import modules from this package in an application, you will need to
+        'import pkg_resources' and then use a 'require()' call similar to one of
+        these examples, in order to select the desired version:
+
+            pkg_resources.require("%(name)s")  # latest installed version
+            pkg_resources.require("%(name)s==%(version)s")  # this exact version
+            pkg_resources.require("%(name)s>=%(version)s")  # this version or higher
+        """).lstrip()
+
+    __id_warning = textwrap.dedent("""
+        Note also that the installation directory must be on sys.path at runtime for
+        this to work.  (e.g. by being the application's script directory, by being on
+        PYTHONPATH, or by being added to sys.path by your code.)
+        """)
+
+    def installation_report(self, req, dist, what="Installed"):
+        """Helpful installation message for display to package users"""
+        msg = "\n%(what)s %(eggloc)s%(extras)s"
+        if self.multi_version and not self.no_report:
+            msg += '\n' + self.__mv_warning
+            if self.install_dir not in map(normalize_path, sys.path):
+                msg += '\n' + self.__id_warning
+
+        eggloc = dist.location
+        name = dist.project_name
+        version = dist.version
+        extras = ''  # TODO: self.report_extras(req, dist)
+        return msg % locals()
+
+    __editable_msg = textwrap.dedent("""
+        Extracted editable version of %(spec)s to %(dirname)s
+
+        If it uses setuptools in its setup script, you can activate it in
+        "development" mode by going to that directory and running::
+
+            %(python)s setup.py develop
+
+        See the setuptools documentation for the "develop" command for more info.
+        """).lstrip()
+
+    def report_editable(self, spec, setup_script):
+        dirname = os.path.dirname(setup_script)
+        python = sys.executable
+        return '\n' + self.__editable_msg % locals()
+
+    def run_setup(self, setup_script, setup_base, args):
+        sys.modules.setdefault('distutils.command.bdist_egg', bdist_egg)
+        sys.modules.setdefault('distutils.command.egg_info', egg_info)
+
+        args = list(args)
+        if self.verbose > 2:
+            v = 'v' * (self.verbose - 1)
+            args.insert(0, '-' + v)
+        elif self.verbose < 2:
+            args.insert(0, '-q')
+        if self.dry_run:
+            args.insert(0, '-n')
+        log.info(
+            "Running %s %s", setup_script[len(setup_base) + 1:], ' '.join(args)
+        )
+        try:
+            run_setup(setup_script, args)
+        except SystemExit as v:
+            raise DistutilsError("Setup script exited with %s" % (v.args[0],))
+
+    def build_and_install(self, setup_script, setup_base):
+        args = ['bdist_egg', '--dist-dir']
+
+        dist_dir = tempfile.mkdtemp(
+            prefix='egg-dist-tmp-', dir=os.path.dirname(setup_script)
+        )
+        try:
+            self._set_fetcher_options(os.path.dirname(setup_script))
+            args.append(dist_dir)
+
+            self.run_setup(setup_script, setup_base, args)
+            all_eggs = Environment([dist_dir])
+            eggs = []
+            for key in all_eggs:
+                for dist in all_eggs[key]:
+                    eggs.append(self.install_egg(dist.location, setup_base))
+            if not eggs and not self.dry_run:
+                log.warn("No eggs found in %s (setup script problem?)",
+                         dist_dir)
+            return eggs
+        finally:
+            rmtree(dist_dir)
+            log.set_verbosity(self.verbose)  # restore our log verbosity
+
+    def _set_fetcher_options(self, base):
+        """
+        When easy_install is about to run bdist_egg on a source dist, that
+        source dist might have 'setup_requires' directives, requiring
+        additional fetching. Ensure the fetcher options given to easy_install
+        are available to that command as well.
+        """
+        # find the fetch options from easy_install and write them out
+        # to the setup.cfg file.
+        ei_opts = self.distribution.get_option_dict('easy_install').copy()
+        fetch_directives = (
+            'find_links', 'site_dirs', 'index_url', 'optimize',
+            'site_dirs', 'allow_hosts',
+        )
+        fetch_options = {}
+        for key, val in ei_opts.items():
+            if key not in fetch_directives:
+                continue
+            fetch_options[key.replace('_', '-')] = val[1]
+        # create a settings dictionary suitable for `edit_config`
+        settings = dict(easy_install=fetch_options)
+        cfg_filename = os.path.join(base, 'setup.cfg')
+        setopt.edit_config(cfg_filename, settings)
+
+    def update_pth(self, dist):
+        if self.pth_file is None:
+            return
+
+        for d in self.pth_file[dist.key]:  # drop old entries
+            if self.multi_version or d.location != dist.location:
+                log.info("Removing %s from easy-install.pth file", d)
+                self.pth_file.remove(d)
+                if d.location in self.shadow_path:
+                    self.shadow_path.remove(d.location)
+
+        if not self.multi_version:
+            if dist.location in self.pth_file.paths:
+                log.info(
+                    "%s is already the active version in easy-install.pth",
+                    dist
+                )
+            else:
+                log.info("Adding %s to easy-install.pth file", dist)
+                self.pth_file.add(dist)  # add new entry
+                if dist.location not in self.shadow_path:
+                    self.shadow_path.append(dist.location)
+
+        if not self.dry_run:
+
+            self.pth_file.save()
+
+            if dist.key == 'setuptools':
+                # Ensure that setuptools itself never becomes unavailable!
+                # XXX should this check for latest version?
+                filename = os.path.join(self.install_dir, 'setuptools.pth')
+                if os.path.islink(filename):
+                    os.unlink(filename)
+                f = open(filename, 'wt')
+                f.write(self.pth_file.make_relative(dist.location) + '\n')
+                f.close()
+
+    def unpack_progress(self, src, dst):
+        # Progress filter for unpacking
+        log.debug("Unpacking %s to %s", src, dst)
+        return dst  # only unpack-and-compile skips files for dry run
+
+    def unpack_and_compile(self, egg_path, destination):
+        to_compile = []
+        to_chmod = []
+
+        def pf(src, dst):
+            if dst.endswith('.py') and not src.startswith('EGG-INFO/'):
+                to_compile.append(dst)
+            elif dst.endswith('.dll') or dst.endswith('.so'):
+                to_chmod.append(dst)
+            self.unpack_progress(src, dst)
+            return not self.dry_run and dst or None
+
+        unpack_archive(egg_path, destination, pf)
+        self.byte_compile(to_compile)
+        if not self.dry_run:
+            for f in to_chmod:
+                mode = ((os.stat(f)[stat.ST_MODE]) | 0o555) & 0o7755
+                chmod(f, mode)
+
+    def byte_compile(self, to_compile):
+        if sys.dont_write_bytecode:
+            self.warn('byte-compiling is disabled, skipping.')
+            return
+
+        from distutils.util import byte_compile
+
+        try:
+            # try to make the byte compile messages quieter
+            log.set_verbosity(self.verbose - 1)
+
+            byte_compile(to_compile, optimize=0, force=1, dry_run=self.dry_run)
+            if self.optimize:
+                byte_compile(
+                    to_compile, optimize=self.optimize, force=1,
+                    dry_run=self.dry_run
+                )
+        finally:
+            log.set_verbosity(self.verbose)  # restore original verbosity
+
+    __no_default_msg = textwrap.dedent("""
+        bad install directory or PYTHONPATH
+
+        You are attempting to install a package to a directory that is not
+        on PYTHONPATH and which Python does not read ".pth" files from.  The
+        installation directory you specified (via --install-dir, --prefix, or
+        the distutils default setting) was:
+
+            %s
+
+        and your PYTHONPATH environment variable currently contains:
+
+            %r
+
+        Here are some of your options for correcting the problem:
+
+        * You can choose a different installation directory, i.e., one that is
+          on PYTHONPATH or supports .pth files
+
+        * You can add the installation directory to the PYTHONPATH environment
+          variable.  (It must then also be on PYTHONPATH whenever you run
+          Python and want to use the package(s) you are installing.)
+
+        * You can set up the installation directory to support ".pth" files by
+          using one of the approaches described here:
+
+          https://pythonhosted.org/setuptools/easy_install.html#custom-installation-locations
+
+        Please make the appropriate changes for your system and try again.""").lstrip()
+
+    def no_default_version_msg(self):
+        template = self.__no_default_msg
+        return template % (self.install_dir, os.environ.get('PYTHONPATH', ''))
+
+    def install_site_py(self):
+        """Make sure there's a site.py in the target dir, if needed"""
+
+        if self.sitepy_installed:
+            return  # already did it, or don't need to
+
+        sitepy = os.path.join(self.install_dir, "site.py")
+        source = resource_string("setuptools", "site-patch.py")
+        source = source.decode('utf-8')
+        current = ""
+
+        if os.path.exists(sitepy):
+            log.debug("Checking existing site.py in %s", self.install_dir)
+            with io.open(sitepy) as strm:
+                current = strm.read()
+
+            if not current.startswith('def __boot():'):
+                raise DistutilsError(
+                    "%s is not a setuptools-generated site.py; please"
+                    " remove it." % sitepy
+                )
+
+        if current != source:
+            log.info("Creating %s", sitepy)
+            if not self.dry_run:
+                ensure_directory(sitepy)
+                with io.open(sitepy, 'w', encoding='utf-8') as strm:
+                    strm.write(source)
+            self.byte_compile([sitepy])
+
+        self.sitepy_installed = True
+
+    def create_home_path(self):
+        """Create directories under ~."""
+        if not self.user:
+            return
+        home = convert_path(os.path.expanduser("~"))
+        for name, path in six.iteritems(self.config_vars):
+            if path.startswith(home) and not os.path.isdir(path):
+                self.debug_print("os.makedirs('%s', 0o700)" % path)
+                os.makedirs(path, 0o700)
+
+    if sys.version[:3] in ('2.3', '2.4', '2.5') or 'real_prefix' in sys.__dict__:
+        sitedir_name = 'site-packages'
+    else:
+        sitedir_name = 'dist-packages'
+
+    INSTALL_SCHEMES = dict(
+        posix=dict(
+            install_dir='$base/lib/python$py_version_short/site-packages',
+            script_dir='$base/bin',
+        ),
+        unix_local = dict(
+            install_dir = '$base/local/lib/python$py_version_short/%s' % sitedir_name,
+            script_dir  = '$base/local/bin',
+        ),
+        posix_local = dict(
+            install_dir = '$base/local/lib/python$py_version_short/%s' % sitedir_name,
+            script_dir  = '$base/local/bin',
+        ),
+        deb_system = dict(
+            install_dir = '$base/lib/python3/%s' % sitedir_name,
+            script_dir  = '$base/bin',
+        ),
+    )
+
+    DEFAULT_SCHEME = dict(
+        install_dir='$base/Lib/site-packages',
+        script_dir='$base/Scripts',
+    )
+
+    def _expand(self, *attrs):
+        config_vars = self.get_finalized_command('install').config_vars
+
+        if self.prefix or self.install_layout:
+            if self.install_layout and self.install_layout in ['deb']:
+                    scheme_name = "deb_system"
+                    self.prefix = '/usr'
+            elif self.prefix or 'real_prefix' in sys.__dict__:
+                scheme_name = os.name
+            else:
+                scheme_name = "posix_local"
+            # Set default install_dir/scripts from --prefix
+            config_vars = config_vars.copy()
+            config_vars['base'] = self.prefix
+            scheme = self.INSTALL_SCHEMES.get(scheme_name,self.DEFAULT_SCHEME)
+            for attr, val in scheme.items():
+                if getattr(self, attr, None) is None:
+                    setattr(self, attr, val)
+
+        from distutils.util import subst_vars
+
+        for attr in attrs:
+            val = getattr(self, attr)
+            if val is not None:
+                val = subst_vars(val, config_vars)
+                if os.name == 'posix':
+                    val = os.path.expanduser(val)
+                setattr(self, attr, val)
+
+
+def get_site_dirs():
+    # return a list of 'site' dirs
+    sitedirs = [_f for _f in os.environ.get('PYTHONPATH',
+                                            '').split(os.pathsep) if _f]
+    prefixes = [sys.prefix]
+    if sys.exec_prefix != sys.prefix:
+        prefixes.append(sys.exec_prefix)
+    for prefix in prefixes:
+        if prefix:
+            if sys.platform in ('os2emx', 'riscos'):
+                sitedirs.append(os.path.join(prefix, "Lib", "site-packages"))
+            elif os.sep == '/':
+                sitedirs.extend([os.path.join(prefix,
+                                              "lib",
+                                              "python" + sys.version[:3],
+                                              "site-packages"),
+                                 os.path.join(prefix, "lib", "site-python")])
+            else:
+                if sys.version[:3] in ('2.3', '2.4', '2.5'):
+                    sdir = "site-packages"
+                else:
+                    sdir = "dist-packages"
+                sitedirs.extend(
+                    [os.path.join(prefix, "local/lib", "python" + sys.version[:3], sdir),
+                     os.path.join(prefix, "lib", "python" + sys.version[:3], sdir)]
+                    )
+            if sys.platform == 'darwin':
+                # for framework builds *only* we add the standard Apple
+                # locations. Currently only per-user, but /Library and
+                # /Network/Library could be added too
+                if 'Python.framework' in prefix:
+                    home = os.environ.get('HOME')
+                    if home:
+                        sitedirs.append(
+                            os.path.join(home,
+                                         'Library',
+                                         'Python',
+                                         sys.version[:3],
+                                         'site-packages'))
+    lib_paths = get_path('purelib'), get_path('platlib')
+    for site_lib in lib_paths:
+        if site_lib not in sitedirs:
+            sitedirs.append(site_lib)
+
+    if site.ENABLE_USER_SITE:
+        sitedirs.append(site.USER_SITE)
+
+    sitedirs = list(map(normalize_path, sitedirs))
+
+    return sitedirs
+
+
+def expand_paths(inputs):
+    """Yield sys.path directories that might contain "old-style" packages"""
+
+    seen = {}
+
+    for dirname in inputs:
+        dirname = normalize_path(dirname)
+        if dirname in seen:
+            continue
+
+        seen[dirname] = 1
+        if not os.path.isdir(dirname):
+            continue
+
+        files = os.listdir(dirname)
+        yield dirname, files
+
+        for name in files:
+            if not name.endswith('.pth'):
+                # We only care about the .pth files
+                continue
+            if name in ('easy-install.pth', 'setuptools.pth'):
+                # Ignore .pth files that we control
+                continue
+
+            # Read the .pth file
+            f = open(os.path.join(dirname, name))
+            lines = list(yield_lines(f))
+            f.close()
+
+            # Yield existing non-dupe, non-import directory lines from it
+            for line in lines:
+                if not line.startswith("import"):
+                    line = normalize_path(line.rstrip())
+                    if line not in seen:
+                        seen[line] = 1
+                        if not os.path.isdir(line):
+                            continue
+                        yield line, os.listdir(line)
+
+
+def extract_wininst_cfg(dist_filename):
+    """Extract configuration data from a bdist_wininst .exe
+
+    Returns a configparser.RawConfigParser, or None
+    """
+    f = open(dist_filename, 'rb')
+    try:
+        endrec = zipfile._EndRecData(f)
+        if endrec is None:
+            return None
+
+        prepended = (endrec[9] - endrec[5]) - endrec[6]
+        if prepended < 12:  # no wininst data here
+            return None
+        f.seek(prepended - 12)
+
+        tag, cfglen, bmlen = struct.unpack("<iii", f.read(12))
+        if tag not in (0x1234567A, 0x1234567B):
+            return None  # not a valid tag
+
+        f.seek(prepended - (12 + cfglen))
+        cfg = configparser.RawConfigParser(
+            {'version': '', 'target_version': ''})
+        try:
+            part = f.read(cfglen)
+            # Read up to the first null byte.
+            config = part.split(b'\0', 1)[0]
+            # Now the config is in bytes, but for RawConfigParser, it should
+            #  be text, so decode it.
+            config = config.decode(sys.getfilesystemencoding())
+            cfg.readfp(six.StringIO(config))
+        except configparser.Error:
+            return None
+        if not cfg.has_section('metadata') or not cfg.has_section('Setup'):
+            return None
+        return cfg
+
+    finally:
+        f.close()
+
+
+def get_exe_prefixes(exe_filename):
+    """Get exe->egg path translations for a given .exe file"""
+
+    prefixes = [
+        ('PURELIB/', ''), ('PLATLIB/pywin32_system32', ''),
+        ('PLATLIB/', ''),
+        ('SCRIPTS/', 'EGG-INFO/scripts/'),
+        ('DATA/lib/site-packages', ''),
+    ]
+    z = zipfile.ZipFile(exe_filename)
+    try:
+        for info in z.infolist():
+            name = info.filename
+            parts = name.split('/')
+            if len(parts) == 3 and parts[2] == 'PKG-INFO':
+                if parts[1].endswith('.egg-info'):
+                    prefixes.insert(0, ('/'.join(parts[:2]), 'EGG-INFO/'))
+                    break
+            if len(parts) != 2 or not name.endswith('.pth'):
+                continue
+            if name.endswith('-nspkg.pth'):
+                continue
+            if parts[0].upper() in ('PURELIB', 'PLATLIB'):
+                contents = z.read(name)
+                if six.PY3:
+                    contents = contents.decode()
+                for pth in yield_lines(contents):
+                    pth = pth.strip().replace('\\', '/')
+                    if not pth.startswith('import'):
+                        prefixes.append((('%s/%s/' % (parts[0], pth)), ''))
+    finally:
+        z.close()
+    prefixes = [(x.lower(), y) for x, y in prefixes]
+    prefixes.sort()
+    prefixes.reverse()
+    return prefixes
+
+
+def parse_requirement_arg(spec):
+    try:
+        return Requirement.parse(spec)
+    except ValueError:
+        raise DistutilsError(
+            "Not a URL, existing file, or requirement spec: %r" % (spec,)
+        )
+
+
+class PthDistributions(Environment):
+    """A .pth file with Distribution paths in it"""
+
+    dirty = False
+
+    def __init__(self, filename, sitedirs=()):
+        self.filename = filename
+        self.sitedirs = list(map(normalize_path, sitedirs))
+        self.basedir = normalize_path(os.path.dirname(self.filename))
+        self._load()
+        Environment.__init__(self, [], None, None)
+        for path in yield_lines(self.paths):
+            list(map(self.add, find_distributions(path, True)))
+
+    def _load(self):
+        self.paths = []
+        saw_import = False
+        seen = dict.fromkeys(self.sitedirs)
+        if os.path.isfile(self.filename):
+            f = open(self.filename, 'rt')
+            for line in f:
+                if line.startswith('import'):
+                    saw_import = True
+                    continue
+                path = line.rstrip()
+                self.paths.append(path)
+                if not path.strip() or path.strip().startswith('#'):
+                    continue
+                # skip non-existent paths, in case somebody deleted a package
+                # manually, and duplicate paths as well
+                path = self.paths[-1] = normalize_path(
+                    os.path.join(self.basedir, path)
+                )
+                if not os.path.exists(path) or path in seen:
+                    self.paths.pop()  # skip it
+                    self.dirty = True  # we cleaned up, so we're dirty now :)
+                    continue
+                seen[path] = 1
+            f.close()
+
+        if self.paths and not saw_import:
+            self.dirty = True  # ensure anything we touch has import wrappers
+        while self.paths and not self.paths[-1].strip():
+            self.paths.pop()
+
+    def save(self):
+        """Write changed .pth file back to disk"""
+        if not self.dirty:
+            return
+
+        rel_paths = list(map(self.make_relative, self.paths))
+        if rel_paths:
+            log.debug("Saving %s", self.filename)
+            lines = self._wrap_lines(rel_paths)
+            data = '\n'.join(lines) + '\n'
+
+            if os.path.islink(self.filename):
+                os.unlink(self.filename)
+            with open(self.filename, 'wt') as f:
+                f.write(data)
+
+        elif os.path.exists(self.filename):
+            log.debug("Deleting empty %s", self.filename)
+            os.unlink(self.filename)
+
+        self.dirty = False
+
+    @staticmethod
+    def _wrap_lines(lines):
+        return lines
+
+    def add(self, dist):
+        """Add `dist` to the distribution map"""
+        new_path = (
+            dist.location not in self.paths and (
+                dist.location not in self.sitedirs or
+                # account for '.' being in PYTHONPATH
+                dist.location == os.getcwd()
+            )
+        )
+        if new_path:
+            self.paths.append(dist.location)
+            self.dirty = True
+        Environment.add(self, dist)
+
+    def remove(self, dist):
+        """Remove `dist` from the distribution map"""
+        while dist.location in self.paths:
+            self.paths.remove(dist.location)
+            self.dirty = True
+        Environment.remove(self, dist)
+
+    def make_relative(self, path):
+        npath, last = os.path.split(normalize_path(path))
+        baselen = len(self.basedir)
+        parts = [last]
+        sep = os.altsep == '/' and '/' or os.sep
+        while len(npath) >= baselen:
+            if npath == self.basedir:
+                parts.append(os.curdir)
+                parts.reverse()
+                return sep.join(parts)
+            npath, last = os.path.split(npath)
+            parts.append(last)
+        else:
+            return path
+
+
+class RewritePthDistributions(PthDistributions):
+
+    @classmethod
+    def _wrap_lines(cls, lines):
+        yield cls.prelude
+        for line in lines:
+            yield line
+        yield cls.postlude
+
+    _inline = lambda text: textwrap.dedent(text).strip().replace('\n', '; ')
+    prelude = _inline("""
+        import sys
+        sys.__plen = len(sys.path)
+        """)
+    postlude = _inline("""
+        import sys
+        new = sys.path[sys.__plen:]
+        del sys.path[sys.__plen:]
+        p = getattr(sys, '__egginsert', 0)
+        sys.path[p:p] = new
+        sys.__egginsert = p + len(new)
+        """)
+
+
+if os.environ.get('SETUPTOOLS_SYS_PATH_TECHNIQUE', 'rewrite') == 'rewrite':
+    PthDistributions = RewritePthDistributions
+
+
+def _first_line_re():
+    """
+    Return a regular expression based on first_line_re suitable for matching
+    strings.
+    """
+    if isinstance(first_line_re.pattern, str):
+        return first_line_re
+
+    # first_line_re in Python >=3.1.4 and >=3.2.1 is a bytes pattern.
+    return re.compile(first_line_re.pattern.decode())
+
+
+def auto_chmod(func, arg, exc):
+    if func is os.remove and os.name == 'nt':
+        chmod(arg, stat.S_IWRITE)
+        return func(arg)
+    et, ev, _ = sys.exc_info()
+    six.reraise(et, (ev[0], ev[1] + (" %s %s" % (func, arg))))
+
+
+def update_dist_caches(dist_path, fix_zipimporter_caches):
+    """
+    Fix any globally cached `dist_path` related data
+
+    `dist_path` should be a path of a newly installed egg distribution (zipped
+    or unzipped).
+
+    sys.path_importer_cache contains finder objects that have been cached when
+    importing data from the original distribution. Any such finders need to be
+    cleared since the replacement distribution might be packaged differently,
+    e.g. a zipped egg distribution might get replaced with an unzipped egg
+    folder or vice versa. Having the old finders cached may then cause Python
+    to attempt loading modules from the replacement distribution using an
+    incorrect loader.
+
+    zipimport.zipimporter objects are Python loaders charged with importing
+    data packaged inside zip archives. If stale loaders referencing the
+    original distribution, are left behind, they can fail to load modules from
+    the replacement distribution. E.g. if an old zipimport.zipimporter instance
+    is used to load data from a new zipped egg archive, it may cause the
+    operation to attempt to locate the requested data in the wrong location -
+    one indicated by the original distribution's zip archive directory
+    information. Such an operation may then fail outright, e.g. report having
+    read a 'bad local file header', or even worse, it may fail silently &
+    return invalid data.
+
+    zipimport._zip_directory_cache contains cached zip archive directory
+    information for all existing zipimport.zipimporter instances and all such
+    instances connected to the same archive share the same cached directory
+    information.
+
+    If asked, and the underlying Python implementation allows it, we can fix
+    all existing zipimport.zipimporter instances instead of having to track
+    them down and remove them one by one, by updating their shared cached zip
+    archive directory information. This, of course, assumes that the
+    replacement distribution is packaged as a zipped egg.
+
+    If not asked to fix existing zipimport.zipimporter instances, we still do
+    our best to clear any remaining zipimport.zipimporter related cached data
+    that might somehow later get used when attempting to load data from the new
+    distribution and thus cause such load operations to fail. Note that when
+    tracking down such remaining stale data, we can not catch every conceivable
+    usage from here, and we clear only those that we know of and have found to
+    cause problems if left alive. Any remaining caches should be updated by
+    whomever is in charge of maintaining them, i.e. they should be ready to
+    handle us replacing their zip archives with new distributions at runtime.
+
+    """
+    # There are several other known sources of stale zipimport.zipimporter
+    # instances that we do not clear here, but might if ever given a reason to
+    # do so:
+    # * Global setuptools pkg_resources.working_set (a.k.a. 'master working
+    # set') may contain distributions which may in turn contain their
+    #   zipimport.zipimporter loaders.
+    # * Several zipimport.zipimporter loaders held by local variables further
+    #   up the function call stack when running the setuptools installation.
+    # * Already loaded modules may have their __loader__ attribute set to the
+    #   exact loader instance used when importing them. Python 3.4 docs state
+    #   that this information is intended mostly for introspection and so is
+    #   not expected to cause us problems.
+    normalized_path = normalize_path(dist_path)
+    _uncache(normalized_path, sys.path_importer_cache)
+    if fix_zipimporter_caches:
+        _replace_zip_directory_cache_data(normalized_path)
+    else:
+        # Here, even though we do not want to fix existing and now stale
+        # zipimporter cache information, we still want to remove it. Related to
+        # Python's zip archive directory information cache, we clear each of
+        # its stale entries in two phases:
+        #   1. Clear the entry so attempting to access zip archive information
+        #      via any existing stale zipimport.zipimporter instances fails.
+        #   2. Remove the entry from the cache so any newly constructed
+        #      zipimport.zipimporter instances do not end up using old stale
+        #      zip archive directory information.
+        # This whole stale data removal step does not seem strictly necessary,
+        # but has been left in because it was done before we started replacing
+        # the zip archive directory information cache content if possible, and
+        # there are no relevant unit tests that we can depend on to tell us if
+        # this is really needed.
+        _remove_and_clear_zip_directory_cache_data(normalized_path)
+
+
+def _collect_zipimporter_cache_entries(normalized_path, cache):
+    """
+    Return zipimporter cache entry keys related to a given normalized path.
+
+    Alternative path spellings (e.g. those using different character case or
+    those using alternative path separators) related to the same path are
+    included. Any sub-path entries are included as well, i.e. those
+    corresponding to zip archives embedded in other zip archives.
+
+    """
+    result = []
+    prefix_len = len(normalized_path)
+    for p in cache:
+        np = normalize_path(p)
+        if (np.startswith(normalized_path) and
+                np[prefix_len:prefix_len + 1] in (os.sep, '')):
+            result.append(p)
+    return result
+
+
+def _update_zipimporter_cache(normalized_path, cache, updater=None):
+    """
+    Update zipimporter cache data for a given normalized path.
+
+    Any sub-path entries are processed as well, i.e. those corresponding to zip
+    archives embedded in other zip archives.
+
+    Given updater is a callable taking a cache entry key and the original entry
+    (after already removing the entry from the cache), and expected to update
+    the entry and possibly return a new one to be inserted in its place.
+    Returning None indicates that the entry should not be replaced with a new
+    one. If no updater is given, the cache entries are simply removed without
+    any additional processing, the same as if the updater simply returned None.
+
+    """
+    for p in _collect_zipimporter_cache_entries(normalized_path, cache):
+        # N.B. pypy's custom zipimport._zip_directory_cache implementation does
+        # not support the complete dict interface:
+        # * Does not support item assignment, thus not allowing this function
+        #    to be used only for removing existing cache entries.
+        #  * Does not support the dict.pop() method, forcing us to use the
+        #    get/del patterns instead. For more detailed information see the
+        #    following links:
+        #      https://github.com/pypa/setuptools/issues/202#issuecomment-202913420
+        #      https://bitbucket.org/pypy/pypy/src/dd07756a34a41f674c0cacfbc8ae1d4cc9ea2ae4/pypy/module/zipimport/interp_zipimport.py#cl-99
+        old_entry = cache[p]
+        del cache[p]
+        new_entry = updater and updater(p, old_entry)
+        if new_entry is not None:
+            cache[p] = new_entry
+
+
+def _uncache(normalized_path, cache):
+    _update_zipimporter_cache(normalized_path, cache)
+
+
+def _remove_and_clear_zip_directory_cache_data(normalized_path):
+    def clear_and_remove_cached_zip_archive_directory_data(path, old_entry):
+        old_entry.clear()
+
+    _update_zipimporter_cache(
+        normalized_path, zipimport._zip_directory_cache,
+        updater=clear_and_remove_cached_zip_archive_directory_data)
+
+# PyPy Python implementation does not allow directly writing to the
+# zipimport._zip_directory_cache and so prevents us from attempting to correct
+# its content. The best we can do there is clear the problematic cache content
+# and have PyPy repopulate it as needed. The downside is that if there are any
+# stale zipimport.zipimporter instances laying around, attempting to use them
+# will fail due to not having its zip archive directory information available
+# instead of being automatically corrected to use the new correct zip archive
+# directory information.
+if '__pypy__' in sys.builtin_module_names:
+    _replace_zip_directory_cache_data = \
+        _remove_and_clear_zip_directory_cache_data
+else:
+    def _replace_zip_directory_cache_data(normalized_path):
+        def replace_cached_zip_archive_directory_data(path, old_entry):
+            # N.B. In theory, we could load the zip directory information just
+            # once for all updated path spellings, and then copy it locally and
+            # update its contained path strings to contain the correct
+            # spelling, but that seems like a way too invasive move (this cache
+            # structure is not officially documented anywhere and could in
+            # theory change with new Python releases) for no significant
+            # benefit.
+            old_entry.clear()
+            zipimport.zipimporter(path)
+            old_entry.update(zipimport._zip_directory_cache[path])
+            return old_entry
+
+        _update_zipimporter_cache(
+            normalized_path, zipimport._zip_directory_cache,
+            updater=replace_cached_zip_archive_directory_data)
+
+
+def is_python(text, filename='<string>'):
+    "Is this string a valid Python script?"
+    try:
+        compile(text, filename, 'exec')
+    except (SyntaxError, TypeError):
+        return False
+    else:
+        return True
+
+
+def is_sh(executable):
+    """Determine if the specified executable is a .sh (contains a #! line)"""
+    try:
+        with io.open(executable, encoding='latin-1') as fp:
+            magic = fp.read(2)
+    except (OSError, IOError):
+        return executable
+    return magic == '#!'
+
+
+def nt_quote_arg(arg):
+    """Quote a command line argument according to Windows parsing rules"""
+    return subprocess.list2cmdline([arg])
+
+
+def is_python_script(script_text, filename):
+    """Is this text, as a whole, a Python script? (as opposed to shell/bat/etc.
+    """
+    if filename.endswith('.py') or filename.endswith('.pyw'):
+        return True  # extension says it's Python
+    if is_python(script_text, filename):
+        return True  # it's syntactically valid Python
+    if script_text.startswith('#!'):
+        # It begins with a '#!' line, so check if 'python' is in it somewhere
+        return 'python' in script_text.splitlines()[0].lower()
+
+    return False  # Not any Python I can recognize
+
+
+try:
+    from os import chmod as _chmod
+except ImportError:
+    # Jython compatibility
+    def _chmod(*args):
+        pass
+
+
+def chmod(path, mode):
+    log.debug("changing mode of %s to %o", path, mode)
+    try:
+        _chmod(path, mode)
+    except os.error as e:
+        log.debug("chmod failed: %s", e)
+
+
+class CommandSpec(list):
+    """
+    A command spec for a #! header, specified as a list of arguments akin to
+    those passed to Popen.
+    """
+
+    options = []
+    split_args = dict()
+
+    @classmethod
+    def best(cls):
+        """
+        Choose the best CommandSpec class based on environmental conditions.
+        """
+        return cls
+
+    @classmethod
+    def _sys_executable(cls):
+        _default = os.path.normpath(sys.executable)
+        return os.environ.get('__PYVENV_LAUNCHER__', _default)
+
+    @classmethod
+    def from_param(cls, param):
+        """
+        Construct a CommandSpec from a parameter to build_scripts, which may
+        be None.
+        """
+        if isinstance(param, cls):
+            return param
+        if isinstance(param, list):
+            return cls(param)
+        if param is None:
+            return cls.from_environment()
+        # otherwise, assume it's a string.
+        return cls.from_string(param)
+
+    @classmethod
+    def from_environment(cls):
+        return cls([cls._sys_executable()])
+
+    @classmethod
+    def from_string(cls, string):
+        """
+        Construct a command spec from a simple string representing a command
+        line parseable by shlex.split.
+        """
+        items = shlex.split(string, **cls.split_args)
+        return cls(items)
+
+    def install_options(self, script_text):
+        self.options = shlex.split(self._extract_options(script_text))
+        cmdline = subprocess.list2cmdline(self)
+        if not isascii(cmdline):
+            self.options[:0] = ['-x']
+
+    @staticmethod
+    def _extract_options(orig_script):
+        """
+        Extract any options from the first line of the script.
+        """
+        first = (orig_script + '\n').splitlines()[0]
+        match = _first_line_re().match(first)
+        options = match.group(1) or '' if match else ''
+        return options.strip()
+
+    def as_header(self):
+        return self._render(self + list(self.options))
+
+    @staticmethod
+    def _render(items):
+        cmdline = subprocess.list2cmdline(items)
+        return '#!' + cmdline + '\n'
+
+# For pbr compat; will be removed in a future version.
+sys_executable = CommandSpec._sys_executable()
+
+
+class WindowsCommandSpec(CommandSpec):
+    split_args = dict(posix=False)
+
+
+class ScriptWriter(object):
+    """
+    Encapsulates behavior around writing entry point scripts for console and
+    gui apps.
+    """
+
+    template = textwrap.dedent("""
+        # EASY-INSTALL-ENTRY-SCRIPT: %(spec)r,%(group)r,%(name)r
+        __requires__ = %(spec)r
+        import sys
+        from pkg_resources import load_entry_point
+
+        if __name__ == '__main__':
+            sys.exit(
+                load_entry_point(%(spec)r, %(group)r, %(name)r)()
+            )
+    """).lstrip()
+
+    command_spec_class = CommandSpec
+
+    @classmethod
+    def get_script_args(cls, dist, executable=None, wininst=False):
+        # for backward compatibility
+        warnings.warn("Use get_args", DeprecationWarning)
+        writer = (WindowsScriptWriter if wininst else ScriptWriter).best()
+        header = cls.get_script_header("", executable, wininst)
+        return writer.get_args(dist, header)
+
+    @classmethod
+    def get_script_header(cls, script_text, executable=None, wininst=False):
+        # for backward compatibility
+        warnings.warn("Use get_header", DeprecationWarning)
+        if wininst:
+            executable = "python.exe"
+        cmd = cls.command_spec_class.best().from_param(executable)
+        cmd.install_options(script_text)
+        return cmd.as_header()
+
+    @classmethod
+    def get_args(cls, dist, header=None):
+        """
+        Yield write_script() argument tuples for a distribution's
+        console_scripts and gui_scripts entry points.
+        """
+        if header is None:
+            header = cls.get_header()
+        spec = str(dist.as_requirement())
+        for type_ in 'console', 'gui':
+            group = type_ + '_scripts'
+            for name, ep in dist.get_entry_map(group).items():
+                cls._ensure_safe_name(name)
+                script_text = cls.template % locals()
+                args = cls._get_script_args(type_, name, header, script_text)
+                for res in args:
+                    yield res
+
+    @staticmethod
+    def _ensure_safe_name(name):
+        """
+        Prevent paths in *_scripts entry point names.
+        """
+        has_path_sep = re.search(r'[\\/]', name)
+        if has_path_sep:
+            raise ValueError("Path separators not allowed in script names")
+
+    @classmethod
+    def get_writer(cls, force_windows):
+        # for backward compatibility
+        warnings.warn("Use best", DeprecationWarning)
+        return WindowsScriptWriter.best() if force_windows else cls.best()
+
+    @classmethod
+    def best(cls):
+        """
+        Select the best ScriptWriter for this environment.
+        """
+        if sys.platform == 'win32' or (os.name == 'java' and os._name == 'nt'):
+            return WindowsScriptWriter.best()
+        else:
+            return cls
+
+    @classmethod
+    def _get_script_args(cls, type_, name, header, script_text):
+        # Simply write the stub with no extension.
+        yield (name, header + script_text)
+
+    @classmethod
+    def get_header(cls, script_text="", executable=None):
+        """Create a #! line, getting options (if any) from script_text"""
+        cmd = cls.command_spec_class.best().from_param(executable)
+        cmd.install_options(script_text)
+        return cmd.as_header()
+
+
+class WindowsScriptWriter(ScriptWriter):
+    command_spec_class = WindowsCommandSpec
+
+    @classmethod
+    def get_writer(cls):
+        # for backward compatibility
+        warnings.warn("Use best", DeprecationWarning)
+        return cls.best()
+
+    @classmethod
+    def best(cls):
+        """
+        Select the best ScriptWriter suitable for Windows
+        """
+        writer_lookup = dict(
+            executable=WindowsExecutableLauncherWriter,
+            natural=cls,
+        )
+        # for compatibility, use the executable launcher by default
+        launcher = os.environ.get('SETUPTOOLS_LAUNCHER', 'executable')
+        return writer_lookup[launcher]
+
+    @classmethod
+    def _get_script_args(cls, type_, name, header, script_text):
+        "For Windows, add a .py extension"
+        ext = dict(console='.pya', gui='.pyw')[type_]
+        if ext not in os.environ['PATHEXT'].lower().split(';'):
+            warnings.warn("%s not listed in PATHEXT; scripts will not be "
+                          "recognized as executables." % ext, UserWarning)
+        old = ['.pya', '.py', '-script.py', '.pyc', '.pyo', '.pyw', '.exe']
+        old.remove(ext)
+        header = cls._adjust_header(type_, header)
+        blockers = [name + x for x in old]
+        yield name + ext, header + script_text, 't', blockers
+
+    @classmethod
+    def _adjust_header(cls, type_, orig_header):
+        """
+        Make sure 'pythonw' is used for gui and and 'python' is used for
+        console (regardless of what sys.executable is).
+        """
+        pattern = 'pythonw.exe'
+        repl = 'python.exe'
+        if type_ == 'gui':
+            pattern, repl = repl, pattern
+        pattern_ob = re.compile(re.escape(pattern), re.IGNORECASE)
+        new_header = pattern_ob.sub(string=orig_header, repl=repl)
+        return new_header if cls._use_header(new_header) else orig_header
+
+    @staticmethod
+    def _use_header(new_header):
+        """
+        Should _adjust_header use the replaced header?
+
+        On non-windows systems, always use. On
+        Windows systems, only use the replaced header if it resolves
+        to an executable on the system.
+        """
+        clean_header = new_header[2:-1].strip('"')
+        return sys.platform != 'win32' or find_executable(clean_header)
+
+
+class WindowsExecutableLauncherWriter(WindowsScriptWriter):
+    @classmethod
+    def _get_script_args(cls, type_, name, header, script_text):
+        """
+        For Windows, add a .py extension and an .exe launcher
+        """
+        if type_ == 'gui':
+            launcher_type = 'gui'
+            ext = '-script.pyw'
+            old = ['.pyw']
+        else:
+            launcher_type = 'cli'
+            ext = '-script.py'
+            old = ['.py', '.pyc', '.pyo']
+        hdr = cls._adjust_header(type_, header)
+        blockers = [name + x for x in old]
+        yield (name + ext, hdr + script_text, 't', blockers)
+        yield (
+            name + '.exe', get_win_launcher(launcher_type),
+            'b'  # write in binary mode
+        )
+        if not is_64bit():
+            # install a manifest for the launcher to prevent Windows
+            # from detecting it as an installer (which it will for
+            #  launchers like easy_install.exe). Consider only
+            #  adding a manifest for launchers detected as installers.
+            #  See Distribute #143 for details.
+            m_name = name + '.exe.manifest'
+            yield (m_name, load_launcher_manifest(name), 't')
+
+
+# for backward-compatibility
+get_script_args = ScriptWriter.get_script_args
+get_script_header = ScriptWriter.get_script_header
+
+
+def get_win_launcher(type):
+    """
+    Load the Windows launcher (executable) suitable for launching a script.
+
+    `type` should be either 'cli' or 'gui'
+
+    Returns the executable as a byte string.
+    """
+    launcher_fn = '%s.exe' % type
+    if platform.machine().lower() == 'arm':
+        launcher_fn = launcher_fn.replace(".", "-arm.")
+    if is_64bit():
+        launcher_fn = launcher_fn.replace(".", "-64.")
+    else:
+        launcher_fn = launcher_fn.replace(".", "-32.")
+    return resource_string('setuptools', launcher_fn)
+
+
+def load_launcher_manifest(name):
+    manifest = pkg_resources.resource_string(__name__, 'launcher manifest.xml')
+    if six.PY2:
+        return manifest % vars()
+    else:
+        return manifest.decode('utf-8') % vars()
+
+
+def rmtree(path, ignore_errors=False, onerror=auto_chmod):
+    """Recursively delete a directory tree.
+
+    This code is taken from the Python 2.4 version of 'shutil', because
+    the 2.3 version doesn't really work right.
+    """
+    if ignore_errors:
+        def onerror(*args):
+            pass
+    elif onerror is None:
+        def onerror(*args):
+            raise
+    names = []
+    try:
+        names = os.listdir(path)
+    except os.error:
+        onerror(os.listdir, path, sys.exc_info())
+    for name in names:
+        fullname = os.path.join(path, name)
+        try:
+            mode = os.lstat(fullname).st_mode
+        except os.error:
+            mode = 0
+        if stat.S_ISDIR(mode):
+            rmtree(fullname, ignore_errors, onerror)
+        else:
+            try:
+                os.remove(fullname)
+            except os.error:
+                onerror(os.remove, fullname, sys.exc_info())
+    try:
+        os.rmdir(path)
+    except os.error:
+        onerror(os.rmdir, path, sys.exc_info())
+
+
+def current_umask():
+    tmp = os.umask(0o022)
+    os.umask(tmp)
+    return tmp
+
+
+def bootstrap():
+    # This function is called when setuptools*.egg is run using /bin/sh
+    import setuptools
+
+    argv0 = os.path.dirname(setuptools.__path__[0])
+    sys.argv[0] = argv0
+    sys.argv.append(argv0)
+    main()
+
+
+def main(argv=None, **kw):
+    from setuptools import setup
+    from setuptools.dist import Distribution
+
+    class DistributionWithoutHelpCommands(Distribution):
+        common_usage = ""
+
+        def _show_help(self, *args, **kw):
+            with _patch_usage():
+                Distribution._show_help(self, *args, **kw)
+
+    if argv is None:
+        argv = sys.argv[1:]
+
+    with _patch_usage():
+        setup(
+            script_args=['-q', 'easy_install', '-v'] + argv,
+            script_name=sys.argv[0] or 'easy_install',
+            distclass=DistributionWithoutHelpCommands, **kw
+        )
+
+
+@contextlib.contextmanager
+def _patch_usage():
+    import distutils.core
+    USAGE = textwrap.dedent("""
+        usage: %(script)s [options] requirement_or_url ...
+           or: %(script)s --help
+        """).lstrip()
+
+    def gen_usage(script_name):
+        return USAGE % dict(
+            script=os.path.basename(script_name),
+        )
+
+    saved = distutils.core.gen_usage
+    distutils.core.gen_usage = gen_usage
+    try:
+        yield
+    finally:
+        distutils.core.gen_usage = saved

1001-sala-de-aula-master/env/lib64/python3.5/site-packages/setuptools/command/install_lib.py

@@ -0,0 +1,147 @@
+import os
+import sys
+import imp
+from itertools import product, starmap
+import distutils.command.install_lib as orig
+
+class install_lib(orig.install_lib):
+    """Don't add compiled flags to filenames of non-Python files"""
+
+    def initialize_options(self):
+        orig.install_lib.initialize_options(self)
+        self.multiarch = None
+        self.install_layout = None
+
+    def finalize_options(self):
+        orig.install_lib.finalize_options(self)
+        self.set_undefined_options('install',('install_layout','install_layout'))
+        if self.install_layout == 'deb' and sys.version_info[:2] >= (3, 3):
+            import sysconfig
+            self.multiarch = sysconfig.get_config_var('MULTIARCH')
+
+    def run(self):
+        self.build()
+        outfiles = self.install()
+        if outfiles is not None:
+            # always compile, in case we have any extension stubs to deal with
+            self.byte_compile(outfiles)
+
+    def get_exclusions(self):
+        """
+        Return a collections.Sized collections.Container of paths to be
+        excluded for single_version_externally_managed installations.
+        """
+        all_packages = (
+            pkg
+            for ns_pkg in self._get_SVEM_NSPs()
+            for pkg in self._all_packages(ns_pkg)
+        )
+
+        excl_specs = product(all_packages, self._gen_exclusion_paths())
+        return set(starmap(self._exclude_pkg_path, excl_specs))
+
+    def _exclude_pkg_path(self, pkg, exclusion_path):
+        """
+        Given a package name and exclusion path within that package,
+        compute the full exclusion path.
+        """
+        parts = pkg.split('.') + [exclusion_path]
+        return os.path.join(self.install_dir, *parts)
+
+    @staticmethod
+    def _all_packages(pkg_name):
+        """
+        >>> list(install_lib._all_packages('foo.bar.baz'))
+        ['foo.bar.baz', 'foo.bar', 'foo']
+        """
+        while pkg_name:
+            yield pkg_name
+            pkg_name, sep, child = pkg_name.rpartition('.')
+
+    def _get_SVEM_NSPs(self):
+        """
+        Get namespace packages (list) but only for
+        single_version_externally_managed installations and empty otherwise.
+        """
+        # TODO: is it necessary to short-circuit here? i.e. what's the cost
+        # if get_finalized_command is called even when namespace_packages is
+        # False?
+        if not self.distribution.namespace_packages:
+            return []
+
+        install_cmd = self.get_finalized_command('install')
+        svem = install_cmd.single_version_externally_managed
+
+        return self.distribution.namespace_packages if svem else []
+
+    @staticmethod
+    def _gen_exclusion_paths():
+        """
+        Generate file paths to be excluded for namespace packages (bytecode
+        cache files).
+        """
+        # always exclude the package module itself
+        yield '__init__.py'
+
+        yield '__init__.pyc'
+        yield '__init__.pyo'
+
+        if not hasattr(imp, 'get_tag'):
+            return
+
+        base = os.path.join('__pycache__', '__init__.' + imp.get_tag())
+        yield base + '.pyc'
+        yield base + '.pyo'
+        yield base + '.opt-1.pyc'
+        yield base + '.opt-2.pyc'
+
+    def copy_tree(
+            self, infile, outfile,
+            preserve_mode=1, preserve_times=1, preserve_symlinks=0, level=1
+    ):
+        assert preserve_mode and preserve_times and not preserve_symlinks
+        exclude = self.get_exclusions()
+
+        if not exclude:
+            import distutils.dir_util
+            distutils.dir_util._multiarch = self.multiarch
+            return orig.install_lib.copy_tree(self, infile, outfile)
+
+        # Exclude namespace package __init__.py* files from the output
+
+        from setuptools.archive_util import unpack_directory
+        from distutils import log
+
+        outfiles = []
+
+        if self.multiarch:
+            import sysconfig
+            ext_suffix = sysconfig.get_config_var ('EXT_SUFFIX')
+            if ext_suffix.endswith(self.multiarch + ext_suffix[-3:]):
+                new_suffix = None
+            else:
+                new_suffix = "%s-%s%s" % (ext_suffix[:-3], self.multiarch, ext_suffix[-3:])
+
+        def pf(src, dst):
+            if dst in exclude:
+                log.warn("Skipping installation of %s (namespace package)",
+                         dst)
+                return False
+
+            if self.multiarch and new_suffix and dst.endswith(ext_suffix) and not dst.endswith(new_suffix):
+                dst = dst.replace(ext_suffix, new_suffix)
+                log.info("renaming extension to %s", os.path.basename(dst))
+
+            log.info("copying %s -> %s", src, os.path.dirname(dst))
+            outfiles.append(dst)
+            return dst
+
+        unpack_directory(infile, outfile, pf)
+        return outfiles
+
+    def get_outputs(self):
+        outputs = orig.install_lib.get_outputs(self)
+        exclude = self.get_exclusions()
+        if exclude:
+            return [f for f in outputs if f not in exclude]
+        return outputs

1076LAB-master/1225test/arm.h

@@ -0,0 +1,99 @@
+#pragma once
+#include "HRSDK.h"
+#include <iostream>
+#include <Windows.h>
+//#include "gripper.h"
+
+using namespace std;
+
+class ARM
+{
+private:
+	//class robot declare
+	HROBOT robot;
+
+	//class parameter
+	int overrideRatio = 70;	 //1-100% //25-35
+	int ptpSpeed = 45;  //1-100% //25-35
+	int linSpeed = 450;  //1-2000 mm/s //700
+	int AccelerationRatio = 40; //1-100% //25-35
+
+
+
+public:
+	//pos coordinate
+	const double pos_home[6] = { 0, 286.429, 282.85, 180, 0, 90 };
+
+	//axis coordinate
+
+	//�{�����
+	ARM(HROBOT r); //��l��
+	void goThePos(double* pos);
+	void goThePos(const double* pos);
+	void lineGoThePos(const double* pos);
+	void lineGoThePosRel(const double* pos);
+	void goTheAxis(double* pos);
+	void goTheAxis(const double* pos);
+	void getNowPos(double* pos);
+	void getNowAxis(double* axis);
+	void goHome();
+	void setSpeed(int speed);//1~100
+	void setptpSpeed(int ptpspeed);
+	void setPosX(double x);
+	void setPosY(double y);
+	void setPosXY(double x, double y);
+	void setPosZ(double z);
+	void setPosRX(double rx);
+	void setAxisJ1(double j1);
+	void setAxisJ2(double j2);
+	void setAxisJ3J5(double j3, double j5);
+	void setAxisJ2J3J5(double j2, double j3, double j5);
+	void setAxisJ5(double j5);
+	void setAxisJ6(double j6);
+	void cup_300ml();
+	//�{�����
+
+	void errorCheck();
+
+
+	void goCheakPos();
+	void goCatch();
+
+
+
+	void goArticle1();
+	void goArticle2();
+	void goArticle3();
+	void goPhotoPos();
+	void goPhotoPlace();
+	void goTest();
+	void goPhotoPos(int num);
+	void goPlanePhotoPos();
+	void goSolidPhotoPos();
+	void goMiddelePos();
+	void goOriginalPos();
+	void goBlockUp(double x, double y, double angle);
+
+	void goDown();
+	void goDownDown();
+	void goUp();
+	void goUpUp();
+	void goBigUp();
+	void goMoveXY(double x, double y);
+	void goHeadStright();
+	void goHeadModeZero();
+	void goHeadModeOne();
+	void goSolidPos(double x, double y, double angle, int num);
+	//double* getnowpos();
+	void turnOverOnBox();
+	void turnOverAboveBox();
+	void goOnBox();
+	void goAboveBox();
+	void goOnBoxWithAngle(double angle);
+	void goSmallAboveBoxWithAngle(double angle);
+
+	void gripperOpen();
+	void gripperOpenLarge();
+	void gripperClose();
+
+};

1076LAB-master/Adafruit_Python_DHT/README.md

@@ -0,0 +1,104 @@
+*DEPRECATED LIBRARY* Adafruit Python DHT Sensor Library
+=======================
+
+his library has been deprecated! We are leaving this up for historical and research purposes but archiving the repository.
+
+We are now only supporting the use of our CircuitPython libraries for use with Python.
+
+Check out this guide for info on using DHT sensors with the CircuitPython library: https://learn.adafruit.com/dht-humidity-sensing-on-raspberry-pi-with-gdocs-logging/python-setup
+
+---------------------------------------
+
+Python library to read the DHT series of humidity and temperature sensors on a
+Raspberry Pi or Beaglebone Black.
+
+Designed specifically to work with the Adafruit DHT series sensors ---->
+https://www.adafruit.com/products/385
+
+Currently the library is tested with Python 2.6, 2.7, 3.3 and 3.4. It should
+work with Python greater than 3.4, too.
+
+Installing
+----------
+
+### Dependencies
+
+For all platforms (Raspberry Pi and Beaglebone Black) make sure your system is
+able to compile and download Python extensions with **pip**:
+
+On Raspbian or Beaglebone Black's Debian/Ubuntu image you can ensure your
+system is ready by running one or two of the following sets of commands:
+
+Python 2:
+
+````sh
+sudo apt-get update
+sudo apt-get install python-pip
+sudo python -m pip install --upgrade pip setuptools wheel
+````
+
+Python 3:
+
+````sh
+sudo apt-get update
+sudo apt-get install python3-pip
+sudo python3 -m pip install --upgrade pip setuptools wheel
+````
+
+### Install with pip
+
+Use `pip` to install from PyPI.
+
+Python 2:
+
+```sh
+sudo pip install Adafruit_DHT
+```
+
+Python 3:
+
+```sh
+sudo pip3 install Adafruit_DHT
+```
+
+### Compile and install from the repository
+
+First download the library source code from the [GitHub releases
+page](https://github.com/adafruit/Adafruit_Python_DHT/releases), unzipping the
+archive, and execute:
+
+Python 2:
+
+```sh
+cd Adafruit_Python_DHT
+sudo python setup.py install
+```
+
+Python 3:
+
+```sh
+cd Adafruit_Python_DHT
+sudo python3 setup.py install
+```
+
+You may also git clone the repository if you want to test an unreleased
+version:
+
+```sh
+git clone https://github.com/adafruit/Adafruit_Python_DHT.git
+```
+
+Usage
+-----
+
+See example of usage in the examples folder.
+
+Author
+------
+
+Adafruit invests time and resources providing this open source code, please
+support Adafruit and open-source hardware by purchasing products from Adafruit!
+
+Written by Tony DiCola for Adafruit Industries.
+
+MIT license, all text above must be included in any redistribution

1076LAB-master/Adafruit_Python_DHT/source/Raspberry_Pi/pi_mmio.c

@@ -0,0 +1,63 @@
+// Copyright (c) 2014 Adafruit Industries
+// Author: Tony DiCola
+// Based on code from Gert van Loo & Dom: http://elinux.org/RPi_Low-level_peripherals#GPIO_Code_examples
+
+// Permission is hereby granted, free of charge, to any person obtaining a copy
+// of this software and associated documentation files (the "Software"), to deal
+// in the Software without restriction, including without limitation the rights
+// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+// copies of the Software, and to permit persons to whom the Software is
+// furnished to do so, subject to the following conditions:
+
+// The above copyright notice and this permission notice shall be included in all
+// copies or substantial portions of the Software.
+
+// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+// SOFTWARE.
+#include <fcntl.h>
+#include <stdlib.h>
+#include <string.h>
+#include <sys/mman.h>
+#include <sys/stat.h>
+#include <sys/types.h>
+#include <unistd.h>
+
+#include "pi_mmio.h"
+
+#define BASE 0x20000000
+#define GPIO_BASE (BASE + 0x200000)
+#define GPIO_LENGTH 4096
+
+volatile uint32_t* pi_mmio_gpio = NULL;
+
+int pi_mmio_init(void) {
+  if (pi_mmio_gpio == NULL) {
+    int fd;
+
+    // On older kernels user readable /dev/gpiomem might not exists.
+    // Falls back to root-only /dev/mem.
+    if( access( "/dev/gpiomem", F_OK ) != -1 ) {
+      fd = open("/dev/gpiomem", O_RDWR | O_SYNC);
+    } else {
+      fd = open("/dev/mem", O_RDWR | O_SYNC);
+    }
+    if (fd == -1) {
+      // Error opening /dev/gpiomem.
+      return MMIO_ERROR_DEVMEM;
+    }
+    // Map GPIO memory to location in process space.
+    pi_mmio_gpio = (uint32_t*)mmap(NULL, GPIO_LENGTH, PROT_READ | PROT_WRITE, MAP_SHARED, fd, GPIO_BASE);
+    close(fd);
+    if (pi_mmio_gpio == MAP_FAILED) {
+      // Don't save the result if the memory mapping failed.
+      pi_mmio_gpio = NULL;
+      return MMIO_ERROR_MMAP;
+    }
+  }
+  return MMIO_SUCCESS;
+}

1076LAB-master/Adafruit_Python_DHT/source/Raspberry_Pi/pi_mmio.h

@@ -0,0 +1,61 @@
+// Copyright (c) 2014 Adafruit Industries
+// Author: Tony DiCola
+// Based on code from Gert van Loo & Dom: http://elinux.org/RPi_Low-level_peripherals#GPIO_Code_examples
+
+// Permission is hereby granted, free of charge, to any person obtaining a copy
+// of this software and associated documentation files (the "Software"), to deal
+// in the Software without restriction, including without limitation the rights
+// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+// copies of the Software, and to permit persons to whom the Software is
+// furnished to do so, subject to the following conditions:
+
+// The above copyright notice and this permission notice shall be included in all
+// copies or substantial portions of the Software.
+
+// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+// SOFTWARE.
+
+// Simple fast memory-mapped GPIO library for the Raspberry Pi.
+#ifndef PI_MMIO_H
+#define PI_MMIO_H
+
+#include <stdint.h>
+
+#define MMIO_SUCCESS 0
+#define MMIO_ERROR_DEVMEM -1
+#define MMIO_ERROR_MMAP -2
+
+extern volatile uint32_t* pi_mmio_gpio;
+
+int pi_mmio_init(void);
+
+static inline void pi_mmio_set_input(const int gpio_number) {
+  // Set GPIO register to 000 for specified GPIO number.
+  *(pi_mmio_gpio+((gpio_number)/10)) &= ~(7<<(((gpio_number)%10)*3));
+}
+
+static inline void pi_mmio_set_output(const int gpio_number) {
+  // First set to 000 using input function.
+  pi_mmio_set_input(gpio_number);
+  // Next set bit 0 to 1 to set output.
+  *(pi_mmio_gpio+((gpio_number)/10)) |=  (1<<(((gpio_number)%10)*3));
+}
+
+static inline void pi_mmio_set_high(const int gpio_number) {
+  *(pi_mmio_gpio+7) = 1 << gpio_number;
+}
+
+static inline void pi_mmio_set_low(const int gpio_number) {
+  *(pi_mmio_gpio+10) = 1 << gpio_number;
+}
+
+static inline uint32_t pi_mmio_input(const int gpio_number) {
+  return *(pi_mmio_gpio+13) & (1 << gpio_number);
+}
+
+#endif

1076LAB-master/Adafruit_Python_DHT/source/Raspberry_Pi_2/pi_2_dht_read.h

@@ -0,0 +1,32 @@
+// Copyright (c) 2014 Adafruit Industries
+// Author: Tony DiCola
+
+// Permission is hereby granted, free of charge, to any person obtaining a copy
+// of this software and associated documentation files (the "Software"), to deal
+// in the Software without restriction, including without limitation the rights
+// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+// copies of the Software, and to permit persons to whom the Software is
+// furnished to do so, subject to the following conditions:
+
+// The above copyright notice and this permission notice shall be included in all
+// copies or substantial portions of the Software.
+
+// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+// SOFTWARE.
+#ifndef PI_2_DHT_READ_H
+#define PI_2_DHT_READ_H
+
+#include "../common_dht_read.h"
+
+// Read DHT sensor connected to GPIO pin (using BCM numbering).  Humidity and temperature will be 
+// returned in the provided parameters. If a successfull reading could be made a value of 0 
+// (DHT_SUCCESS) will be returned.  If there was an error reading the sensor a negative value will
+// be returned.  Some errors can be ignored and retried, specifically DHT_ERROR_TIMEOUT or DHT_ERROR_CHECKSUM.
+int pi_2_dht_read(int sensor, int pin, float* humidity, float* temperature);
+
+#endif

1076LAB-master/Adafruit_Python_DHT/source/Raspberry_Pi_2/pi_2_mmio.c

@@ -0,0 +1,71 @@
+// Copyright (c) 2014 Adafruit Industries
+// Author: Tony DiCola
+// Based on code from Gert van Loo & Dom: http://elinux.org/RPi_Low-level_peripherals#GPIO_Code_examples
+
+// Permission is hereby granted, free of charge, to any person obtaining a copy
+// of this software and associated documentation files (the "Software"), to deal
+// in the Software without restriction, including without limitation the rights
+// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+// copies of the Software, and to permit persons to whom the Software is
+// furnished to do so, subject to the following conditions:
+
+// The above copyright notice and this permission notice shall be included in all
+// copies or substantial portions of the Software.
+
+// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+// SOFTWARE.
+#include <fcntl.h>
+#include <stdlib.h>
+#include <stdio.h>
+#include <string.h>
+#include <sys/mman.h>
+#include <sys/stat.h>
+#include <sys/types.h>
+#include <unistd.h>
+
+#include "pi_2_mmio.h"
+
+#define GPIO_BASE_OFFSET 0x200000
+#define GPIO_LENGTH 4096
+
+volatile uint32_t* pi_2_mmio_gpio = NULL;
+
+int pi_2_mmio_init(void) {
+  if (pi_2_mmio_gpio == NULL) {
+    // Check for GPIO and peripheral addresses from device tree.
+    // Adapted from code in the RPi.GPIO library at:
+    //   http://sourceforge.net/p/raspberry-gpio-python/
+    FILE *fp = fopen("/proc/device-tree/soc/ranges", "rb");
+    if (fp == NULL) {
+      return MMIO_ERROR_OFFSET;
+    }
+    fseek(fp, 4, SEEK_SET);
+    unsigned char buf[4];
+    if (fread(buf, 1, sizeof(buf), fp) != sizeof(buf)) {
+      return MMIO_ERROR_OFFSET;
+    }
+    uint32_t peri_base = buf[0] << 24 | buf[1] << 16 | buf[2] << 8 | buf[3] << 0;
+    uint32_t gpio_base = peri_base + GPIO_BASE_OFFSET;
+    fclose(fp);
+
+    int fd = open("/dev/gpiomem", O_RDWR | O_SYNC);
+    if (fd == -1) {
+      // Error opening /dev/gpiomem.
+      return MMIO_ERROR_DEVMEM;
+    }
+    // Map GPIO memory to location in process space.
+    pi_2_mmio_gpio = (uint32_t*)mmap(NULL, GPIO_LENGTH, PROT_READ | PROT_WRITE, MAP_SHARED, fd, gpio_base);
+    close(fd);
+    if (pi_2_mmio_gpio == MAP_FAILED) {
+      // Don't save the result if the memory mapping failed.
+      pi_2_mmio_gpio = NULL;
+      return MMIO_ERROR_MMAP;
+    }
+  }
+  return MMIO_SUCCESS;
+}

1076LAB-master/Adafruit_Python_DHT/source/Test/test_dht_read.c

@@ -0,0 +1,34 @@
+// Copyright (c) 2014 Adafruit Industries
+// Author: Tony DiCola
+
+// Permission is hereby granted, free of charge, to any person obtaining a copy
+// of this software and associated documentation files (the "Software"), to deal
+// in the Software without restriction, including without limitation the rights
+// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+// copies of the Software, and to permit persons to whom the Software is
+// furnished to do so, subject to the following conditions:
+
+// The above copyright notice and this permission notice shall be included in all
+// copies or substantial portions of the Software.
+
+// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+// SOFTWARE.
+#include <stdlib.h>
+
+#include "test_dht_read.h"
+
+int test_dht_read(int type, int pin, float* humidity, float* temperature) {
+  // Validate humidity and temperature arguments and set them to zero.
+  if (humidity == NULL || temperature == NULL) {
+    return -1;
+  }
+  *temperature = 42.0f;
+  *humidity = 50.0f;
+
+  return 0;
+}

1076LAB-master/nodes/turtlebot3_bot

@@ -0,0 +1,219 @@
+#!/usr/bin/env python
+
+# Copyright (c) 2011, Willow Garage, Inc.
+# All rights reserved.
+#
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions are met:
+#
+#    * Redistributions of source code must retain the above copyright
+#      notice, this list of conditions and the following disclaimer.
+#    * Redistributions in binary form must reproduce the above copyright
+#      notice, this list of conditions and the following disclaimer in the
+#      documentation and/or other materials provided with the distribution.
+#    * Neither the name of the Willow Garage, Inc. nor the names of its
+#      contributors may be used to endorse or promote products derived from
+#       this software without specific prior written permission.
+#
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
+# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+# POSSIBILITY OF SUCH DAMAGE.
+
+import rospy
+from geometry_msgs.msg import Twist
+import sys, select, os
+import socket
+import time
+
+
+#socket
+import sys
+import socket
+import time
+
+HOST = '192.168.0.121' #137
+PORT =8001
+u = socket.socket(socket.AF_INET,socket.SOCK_DGRAM)
+u.bind((HOST, PORT))
+
+#u.sendto('BOT',(HOST,PORT))
+u.settimeout(0.05)
+
+if os.name == 'nt':
+  import msvcrt
+else:
+  import tty, termios
+
+#the max linear velocity of turtlebot
+BURGER_MAX_LIN_VEL = 0.22
+BURGER_MAX_ANG_VEL = 2.84
+
+WAFFLE_MAX_LIN_VEL = 0.26
+WAFFLE_MAX_ANG_VEL = 1.82
+
+#the increased value of velocity when you press the bottom
+LIN_VEL_STEP_SIZE = 0.01
+ANG_VEL_STEP_SIZE = 0.1
+
+msg = """
+Control Your TurtleBot3!
+---------------------------
+Moving around:
+        w
+   a    s    d
+        x
+
+w/x : increase/decrease linear velocity (Burger : ~ 0.22, Waffle and Waffle Pi : ~ 0.26)
+a/d : increase/decrease angular velocity (Burger : ~ 2.84, Waffle and Waffle Pi : ~ 1.82)
+
+space key, s : force stop
+
+CTRL-C to quit
+"""
+
+e = """
+Communications Failed
+"""
+
+def getKey():
+    if os.name == 'nt':
+      return msvcrt.getch()
+
+    tty.setraw(sys.stdin.fileno())
+    rlist, _, _ = select.select([sys.stdin], [], [], 0.1)
+    if rlist:
+        key = sys.stdin.read(1)        
+    else:
+        key = ''
+        try:
+            data,addr = u.recvfrom(1024)
+            print data
+            #do something
+            return data
+   
+        except socket.timeout:
+            s102=0
+
+    termios.tcsetattr(sys.stdin, termios.TCSADRAIN, settings)
+    return key
+
+def vels(target_linear_vel, target_angular_vel):
+    return "currently:\tlinear vel %s\t angular vel %s " % (target_linear_vel,target_angular_vel)
+
+def makeSimpleProfile(output, input, slop):
+    if input > output:
+        output = min( input, output + slop )
+    elif input < output:
+        output = max( input, output - slop )
+    else:
+        output = input
+
+    return output
+
+def constrain(input, low, high):
+    if input < low:
+      input = low
+    elif input > high:
+      input = high
+    else:
+      input = input
+
+    return input
+
+def checkLinearLimitVelocity(vel):
+    if turtlebot3_model == "burger":
+      vel = constrain(vel, -BURGER_MAX_LIN_VEL, BURGER_MAX_LIN_VEL)
+    elif turtlebot3_model == "waffle" or turtlebot3_model == "waffle_pi":
+      vel = constrain(vel, -WAFFLE_MAX_LIN_VEL, WAFFLE_MAX_LIN_VEL)
+    else:
+      vel = constrain(vel, -BURGER_MAX_LIN_VEL, BURGER_MAX_LIN_VEL)
+
+    return vel
+
+def checkAngularLimitVelocity(vel):
+    if turtlebot3_model == "burger":
+      vel = constrain(vel, -BURGER_MAX_ANG_VEL, BURGER_MAX_ANG_VEL)
+    elif turtlebot3_model == "waffle" or turtlebot3_model == "waffle_pi":
+      vel = constrain(vel, -WAFFLE_MAX_ANG_VEL, WAFFLE_MAX_ANG_VEL)
+    else:
+      vel = constrain(vel, -BURGER_MAX_ANG_VEL, BURGER_MAX_ANG_VEL)
+
+    return vel
+
+if __name__=="__main__":
+    if os.name != 'nt':
+        settings = termios.tcgetattr(sys.stdin)
+
+    rospy.init_node('turtlebot3_teleop')
+    pub = rospy.Publisher('cmd_vel', Twist, queue_size=10)
+
+    turtlebot3_model = rospy.get_param("model", "burger")
+
+    status = 0
+    target_linear_vel   = 0.0
+    target_angular_vel  = 0.0
+    control_linear_vel  = 0.0
+    control_angular_vel = 0.0
+    status=0
+    try:
+        print(msg)
+        while(1):
+            key = getKey()    
+            if key == 'w' :
+                target_linear_vel = checkLinearLimitVelocity(target_linear_vel + LIN_VEL_STEP_SIZE)
+                status = status - 1
+                print(vels(target_linear_vel,target_angular_vel))
+            elif key == 'x' :
+                target_linear_vel = checkLinearLimitVelocity(target_linear_vel - LIN_VEL_STEP_SIZE)
+                status = status - 1
+                print(vels(target_linear_vel,target_angular_vel))
+            elif key == 'a' :
+                target_angular_vel = checkAngularLimitVelocity(target_angular_vel + ANG_VEL_STEP_SIZE)
+                status = status - 1
+                print(vels(target_linear_vel,target_angular_vel))
+            elif key == 'd' :
+                target_angular_vel = checkAngularLimitVelocity(target_angular_vel - ANG_VEL_STEP_SIZE)
+                status = status -1
+                print(vels(target_linear_vel,target_angular_vel))
+            elif key == ' ' or key == 's' :
+                target_linear_vel   = 0.0
+                control_linear_vel  = 0.0
+                target_angular_vel  = 0.0
+                control_angular_vel = 0.0
+                status = status -1
+                print(vels(target_linear_vel, target_angular_vel)) 
+            else:
+                if (key == '\x03'):
+                    sock.close()
+                    break
+
+
+            twist = Twist()
+
+            control_linear_vel = makeSimpleProfile(control_linear_vel, target_linear_vel, (LIN_VEL_STEP_SIZE/2.0))
+            twist.linear.x = control_linear_vel; twist.linear.y = 0.0; twist.linear.z = 0.0
+
+            control_angular_vel = makeSimpleProfile(control_angular_vel, target_angular_vel, (ANG_VEL_STEP_SIZE/2.0))
+            twist.angular.x = 0.0; twist.angular.y = 0.0; twist.angular.z = control_angular_vel
+
+            pub.publish(twist)
+
+    except:
+        print(e)
+
+    finally:
+        twist = Twist()
+        twist.linear.x = 0.0; twist.linear.y = 0.0; twist.linear.z = 0.0
+        twist.angular.x = 0.0; twist.angular.y = 0.0; twist.angular.z = 0.0
+        pub.publish(twist)
+
+    if os.name != 'nt':
+        termios.tcsetattr(sys.stdin, termios.TCSADRAIN, settings)

10pics-master/README.rst

@@ -0,0 +1,38 @@
+======
+10pics
+======
+This project is based on a team introduction activity: Use 10 pictures to describe yourself!
+
+With this project you will be able to choose 10 pictures from your Google Photos Library and display them in a Jupyter notebook.
+
+Setup
+========
+Google Credentials
+------------------
+In order to be able to access your photos via Google's API you'll need to download a secrets file. The steps below outline how this is done.
+
+- Create a client id using these borrowed instructions_. When it comes to choosing the application type, please choose Desktop.
+- Once the client ID is created, download it as ``secrets_file.json``
+
+.. _instructions: https://docs.google.com/document/d/1ck1679H8ifmZ_4eVbDeD_-jezIcZ-j6MlaNaeQiz7y0
+
+Poetry
+------
+This project uses poetry. Install ``poetry`` by running the command ``python <(curl -sSL https://raw.githubusercontent.com/sdispater/poetry/master/get-poetry.py)``.
+Once installed, run ``poetry install``, which will create the virtual env with the required packages.
+
+Run example
+-----------
+Run ``poetry run jupyter notebook`` to start a local Jupyter notebook, then provide the two path files as indicated.
+- ``secrets_file.json`` as explained above
+- ``credentials.pickle`` will store your session credentials for you, for easy reauthentication
+
+When instantiating the client, you will be directed to your browser to authorize your application. Make sure to follow through, even where it says *This app isn't verified*.
+
+Contribute
+==========
+Feel free to create a PR if you'd like to contribute.
+
+Please make sure to run ``make lint-check`` before you do!
+
+

10pics-master/setup.py

@@ -0,0 +1,14 @@
+"""Setup project."""
+from setuptools import find_packages, setup
+
+short_desc = "10 Pictures"
+long_desc = "Show pictures from your Google Photo Library"
+
+setup(
+    name="ten_pics",
+    description=short_desc,
+    long_description=long_desc,
+    author="Vincent Ketelaars",
+    author_email="admin@vincentketelaars.nl",
+    packages=find_packages(),
+)

11777-Group11-master/.pipreqs/requirements_pipreqs.txt

@@ -0,0 +1,31 @@
+anytree==2.12.1
+apex==0.9.10dev
+boto3==1.37.20
+botocore==1.37.20
+ftfy==6.3.1
+GitPython==3.1.44
+GitPython==3.1.44
+ipdb==0.13.13
+ipython==8.12.3
+ipython==8.18.1
+matplotlib==3.10.1
+numpy==2.2.4
+psutil==7.0.0
+ptvsd==4.3.2
+PyYAML==6.0.2
+PyYAML==6.0.2
+regex==2024.11.6
+Requests==2.32.3
+scikit_learn==1.6.1
+sentencepiece==0.2.0
+setuptools==28.8.0
+setuptools==74.0.0
+setuptools==52.0.0
+six==1.10.0
+six==1.16.0
+spacy==3.8.4
+tensorboardX==2.6.2.2
+tensorflow==2.19.0
+torch==2.1.0
+tqdm==4.67.1
+transformers==4.50.1

11777-Group11-master/attention_weight_vis/bertviz/model_view.js

@@ -0,0 +1,330 @@
+/**
+ * @fileoverview Transformer Visualization D3 javascript code.
+ *
+ * Based on: https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/visualization/attention.js
+ *
+ * Change log:
+ *
+ * 02/01/19  Jesse Vig   Initial implementation
+ */
+
+
+requirejs(['jquery', 'd3'], function($, d3) {
+
+        var params = window.params;
+        var config = {};
+
+        const MIN_X = 0;
+        const MIN_Y = 0;
+        const DIV_WIDTH = 970;
+        const THUMBNAIL_PADDING = 5;
+        const DETAIL_WIDTH = 300;
+        const DETAIL_ATTENTION_WIDTH = 140;
+        const DETAIL_BOX_WIDTH = 80;
+        const DETAIL_BOX_HEIGHT = 20;
+        const DETAIL_PADDING = 5;
+        const ATTN_PADDING = 0;
+        const DETAIL_HEADING_HEIGHT = 47;
+        const DETAIL_HEADING_TEXT_SIZE = 15;
+        const TEXT_SIZE = 13;
+        const LAYER_COLORS = d3.schemeCategory10;
+
+        function render() {
+
+            // Set global state variables
+
+            var attData = config.attention[config.filter];
+            config.leftText = attData.left_text;
+            config.rightText = attData.right_text;
+            config.attn = attData.attn;
+            config.numLayers = config.attn.length;
+            config.numHeads = config.attn[0].length;
+            config.thumbnailBoxHeight = 7 * (12 / config.numHeads);
+            config.thumbnailHeight = Math.max(config.leftText.length, config.rightText.length) * config.thumbnailBoxHeight + 2 * THUMBNAIL_PADDING;
+            config.thumbnailWidth = DIV_WIDTH / config.numHeads;
+            config.detailHeight = Math.max(config.leftText.length, config.rightText.length) * DETAIL_BOX_HEIGHT + 2 * DETAIL_PADDING + DETAIL_HEADING_HEIGHT;
+            config.divHeight = config.numLayers * config.thumbnailHeight;
+
+            $("#vis").empty();
+            $("#vis").attr("height", config.divHeight);
+            config.svg = d3.select("#vis")
+                .append('svg')
+                .attr("width", DIV_WIDTH)
+                .attr("height", config.divHeight)
+              .attr("fill", "black");
+
+            var i;
+            var j;
+            for (i = 0; i < config.numLayers; i++) {
+                for (j = 0; j < config.numHeads; j++) {
+                    renderThumbnail(i, j);
+                }
+            }
+        }
+
+        function renderThumbnail(layerIndex, headIndex) {
+            var x = headIndex * config.thumbnailWidth;
+            var y = layerIndex * config.thumbnailHeight;
+            renderThumbnailAttn(x, y, config.attn[layerIndex][headIndex], layerIndex, headIndex);
+        }
+
+        function renderDetail(att, layerIndex, headIndex) {
+            var xOffset = .8 * config.thumbnailWidth;
+            var maxX = DIV_WIDTH;
+            var maxY = config.divHeight;
+            var leftPos = (headIndex / config.numHeads) * DIV_WIDTH
+            var x = leftPos + THUMBNAIL_PADDING + xOffset;
+            if (x < MIN_X) {
+                x = MIN_X;
+            } else if (x + DETAIL_WIDTH > maxX) {
+                x = leftPos + THUMBNAIL_PADDING - DETAIL_WIDTH + 8;
+            }
+            var posLeftText = x;
+            var posAttention = posLeftText + DETAIL_BOX_WIDTH;
+            var posRightText = posAttention + DETAIL_ATTENTION_WIDTH;
+            var thumbnailHeight = Math.max(config.leftText.length, config.rightText.length) * config.thumbnailBoxHeight + 2 * THUMBNAIL_PADDING;
+            var yOffset = 20;
+            var y = layerIndex * thumbnailHeight + THUMBNAIL_PADDING + yOffset;
+            if (y < MIN_Y) {
+                y = MIN_Y;
+            } else if (y + config.detailHeight > maxY) {
+                y = maxY - config.detailHeight;
+            }
+            renderDetailFrame(x, y, layerIndex);
+            renderDetailHeading(x, y, layerIndex, headIndex);
+            renderText(config.leftText, "leftText", posLeftText, y + DETAIL_HEADING_HEIGHT, layerIndex);
+            renderDetailAttn(posAttention, y + DETAIL_HEADING_HEIGHT, att, layerIndex, headIndex);
+            renderText(config.rightText, "rightText", posRightText, y + DETAIL_HEADING_HEIGHT, layerIndex);
+        }
+
+        function renderDetailHeading(x, y, layerIndex, headIndex) {
+            var fillColor = getColor(layerIndex);
+            config.svg.append("text")
+                .classed("detail", true)
+                .text('Layer ' + layerIndex + ", Head " + headIndex)
+                .attr("font-size", DETAIL_HEADING_TEXT_SIZE + "px")
+                .style("cursor", "default")
+                .style("-webkit-user-select", "none")
+                .style("font-weight", "bold")
+                .attr("fill", fillColor)
+                .attr("x", x + 87)
+                .attr("y", y + 16)
+                .attr("height", DETAIL_HEADING_HEIGHT)
+                .attr("width", DETAIL_WIDTH)
+                .attr("dy", DETAIL_HEADING_TEXT_SIZE);
+        }
+
+        function renderText(text, id, x, y, layerIndex) {
+            var tokenContainer = config.svg.append("svg:g")
+                .classed("detail", true)
+                .selectAll("g")
+                .data(text)
+                .enter()
+                .append("g");
+
+            var fillColor = getColor(layerIndex);
+
+            tokenContainer.append("rect")
+                .classed("highlight", true)
+                .attr("fill", fillColor)
+                .style("opacity", 0.0)
+                .attr("height", DETAIL_BOX_HEIGHT)
+                .attr("width", DETAIL_BOX_WIDTH)
+                .attr("x", x)
+                .attr("y", function (d, i) {
+                    return y + i * DETAIL_BOX_HEIGHT - 1;
+                });
+
+            var textContainer = tokenContainer.append("text")
+                .classed("token", true)
+                .text(function (d) {
+                    return d;
+                })
+                .attr("font-size", TEXT_SIZE + "px")
+                .style("cursor", "default")
+                .style("-webkit-user-select", "none")
+                .attr("fill", fillColor)
+                .attr("x", x)
+                .attr("y", function (d, i) {
+                    return i * DETAIL_BOX_HEIGHT + y;
+                })
+                .attr("height", DETAIL_BOX_HEIGHT)
+                .attr("width", DETAIL_BOX_WIDTH)
+                .attr("dy", TEXT_SIZE);
+
+            if (id == "leftText") {
+                textContainer.style("text-anchor", "end")
+                    .attr("dx", DETAIL_BOX_WIDTH - 2);
+                tokenContainer.on("mouseover", function (d, index) {
+                    highlightSelection(index);
+                });
+                tokenContainer.on("mouseleave", function () {
+                    unhighlightSelection();
+                });
+            }
+        }
+
+        function highlightSelection(index) {
+            config.svg.select("#leftText")
+                .selectAll(".highlight")
+                .style("opacity", function (d, i) {
+                    return i == index ? 1.0 : 0.0;
+                });
+            config.svg.selectAll(".attn-line-group")
+                .style("opacity", function (d, i) {
+                    return i == index ? 1.0 : 0.0;
+                });
+        }
+
+        function unhighlightSelection() {
+            config.svg.select("#leftText")
+                .selectAll(".highlight")
+                .style("opacity", 0.0);
+            config.svg.selectAll(".attn-line-group")
+                .style("opacity", 1);
+        }
+
+        function renderThumbnailAttn(x, y, att, layerIndex, headIndex) {
+
+            var attnContainer = config.svg.append("svg:g");
+
+            var attnBackground = attnContainer.append("rect")
+                .attr("id", 'attn_background_' + layerIndex + "_" + headIndex)
+                .classed("attn_background", true)
+                .attr("x", x)
+                .attr("y", y)
+                .attr("height", config.thumbnailHeight)
+                .attr("width", config.thumbnailWidth)
+                .attr("stroke-width", 2)
+                .attr("stroke", getColor(layerIndex))
+                .attr("stroke-opacity", 0);
+            var x1 = x + THUMBNAIL_PADDING;
+            var x2 = x1 + config.thumbnailWidth - 14;
+            var y1 = y + THUMBNAIL_PADDING;
+
+            attnContainer.selectAll("g")
+                .data(att)
+                .enter()
+                .append("g") // Add group for each source token
+                .attr("source-index", function (d, i) { // Save index of source token
+                    return i;
+                })
+                .selectAll("line")
+                .data(function (d) { // Loop over all target tokens
+                    return d;
+                })
+                .enter() // When entering
+                .append("line")
+                .attr("x1", x1)
+                .attr("y1", function (d) {
+                    var sourceIndex = +this.parentNode.getAttribute("source-index");
+                    return y1 + (sourceIndex + .5) * config.thumbnailBoxHeight;
+                })
+                .attr("x2", x2)
+                .attr("y2", function (d, targetIndex) {
+                    return y1 + (targetIndex + .5) * config.thumbnailBoxHeight;
+                })
+                .attr("stroke-width", 2.2)
+                .attr("stroke", getColor(layerIndex))
+                .attr("stroke-opacity", function (d) {
+                    return d;
+                });
+
+            var clickRegion = attnContainer.append("rect")
+                .attr("x", x)
+                .attr("y", y)
+                .attr("height", config.thumbnailHeight)
+                .attr("width", config.thumbnailWidth)
+                .style("opacity", 0);
+
+            clickRegion.on("click", function (d, index) {
+                var attnBackgroundOther = config.svg.selectAll(".attn_background");
+                attnBackgroundOther.attr("fill", "black");
+                attnBackgroundOther.attr("stroke-opacity", 0);
+
+                config.svg.selectAll(".detail").remove();
+                if (config.detail_layer != layerIndex || config.detail_head != headIndex) {
+                    renderDetail(att, layerIndex, headIndex);
+                    config.detail_layer = layerIndex;
+                    config.detail_head = headIndex;
+                    attnBackground.attr("fill", "#202020");
+                    attnBackground.attr("stroke-opacity", .8);
+                } else {
+                    config.detail_layer = null;
+                    config.detail_head = null;
+                    attnBackground.attr("fill", "black");
+                    attnBackground.attr("stroke-opacity", 0);
+                }
+            });
+
+            clickRegion.on("mouseover", function (d) {
+                d3.select(this).style("cursor", "pointer");
+            });
+        }
+
+        function renderDetailFrame(x, y, layerIndex) {
+            var detailFrame = config.svg.append("rect")
+                .classed("detail", true)
+                .attr("x", x)
+                .attr("y", y)
+                .attr("height", config.detailHeight)
+                .attr("width", DETAIL_WIDTH)
+                .style("opacity", 1)
+                .attr("fill", "white")
+                .attr("stroke-width", 2)
+                .attr("stroke-opacity", 0.7)
+                .attr("stroke", getColor(layerIndex));
+        }
+
+        function renderDetailAttn(x, y, att, layerIndex) {
+            var attnContainer = config.svg.append("svg:g")
+                .classed("detail", true)
+                .attr("pointer-events", "none");
+            attnContainer.selectAll("g")
+                .data(att)
+                .enter()
+                .append("g") // Add group for each source token
+                .classed('attn-line-group', true)
+                .attr("source-index", function (d, i) { // Save index of source token
+                    return i;
+                })
+                .selectAll("line")
+                .data(function (d) { // Loop over all target tokens
+                    return d;
+                })
+                .enter()
+                .append("line")
+                .attr("x1", x + ATTN_PADDING)
+                .attr("y1", function (d) {
+                    var sourceIndex = +this.parentNode.getAttribute("source-index");
+                    return y + (sourceIndex + .5) * DETAIL_BOX_HEIGHT;
+                })
+                .attr("x2", x + DETAIL_ATTENTION_WIDTH - ATTN_PADDING)
+                .attr("y2", function (d, targetIndex) {
+                    return y + (targetIndex + .5) * DETAIL_BOX_HEIGHT;
+                })
+                .attr("stroke-width", 2)
+                .attr("stroke", getColor(layerIndex))
+                .attr("stroke-opacity", function (d) {
+                    return d;
+                });
+        }
+        
+        function getColor(layer) {
+          return LAYER_COLORS[layer % 10];
+        }
+
+        function initialize() {
+          config.attention = params['attention'];
+          config.filter = params['default_filter'];
+        }
+
+        $("#filter").on('change', function (e) {
+            config.filter = e.currentTarget.value;
+            render();
+        });
+
+        initialize();
+        render();
+
+    });

11777-Group11-master/attention_weight_vis/bertviz/neuron_view.py

@@ -0,0 +1,257 @@
+# coding=utf-8
+# Copyright 2018 The Tensor2Tensor 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.
+#
+# Change log
+# 12/12/18  Jesse Vig   Adapted to BERT model
+# 12/19/18  Jesse Vig   Assorted cleanup. Changed orientation of attention matrices. Updated comments.
+
+
+"""Module for postprocessing and displaying transformer attentions.
+
+This module is designed to be called from an ipython notebook.
+"""
+
+import json
+from IPython.core.display import display, HTML, Javascript
+import os
+import torch
+from collections import defaultdict
+
+def show(model, model_type, tokenizer, sentence_a, sentence_b=None):
+    if sentence_b:
+        vis_html = """
+          <span style="user-select:none">
+            Layer: <select id="layer"></select>
+            Head: <select id="att_head"></select>
+            Attention: <select id="filter">
+              <option value="all">All</option>
+              <option value="aa">Sentence A -> Sentence A</option>
+              <option value="ab">Sentence A -> Sentence B</option>
+              <option value="ba">Sentence B -> Sentence A</option>
+              <option value="bb">Sentence B -> Sentence B</option>
+            </select>
+          </span>
+          <div id='vis'></div>
+        """
+    else:
+        vis_html = """
+          <span style="user-select:none">
+            Layer: <select id="layer"></select>
+            Head: <select id="att_head"></select>
+          </span>
+          <div id='vis'></div>
+        """
+    display(HTML(vis_html))
+    __location__ = os.path.realpath(
+        os.path.join(os.getcwd(), os.path.dirname(__file__)))
+    vis_js = open(os.path.join(__location__, 'neuron_view.js')).read()
+    attn_data = get_attention(model, model_type, tokenizer, sentence_a, sentence_b, include_queries_and_keys=True)
+    if model_type == 'gpt2':
+        bidirectional = False
+    else:
+        bidirectional = True
+    params = {
+        'attention': attn_data,
+        'default_filter': "all",
+        'bidirectional': bidirectional
+    }
+    display(Javascript('window.params = %s' % json.dumps(params)))
+    display(Javascript(vis_js))
+
+
+def get_attention(model, model_type, tokenizer, sentence_a, sentence_b=None, include_queries_and_keys=False):
+    """Compute representation of attention to pass to the d3 visualization
+
+    Args:
+        model: pytorch-transformers model
+        model_type: type of model. Valid values 'bert', 'gpt2', 'xlnet', 'roberta'
+        tokenizer: pytorch-transformers tokenizer
+        sentence_a: Sentence A string
+        sentence_b: Sentence B string
+        include_queries_and_keys: Indicates whether to include queries/keys in results
+
+    Returns:
+      Dictionary of attn representations with the structure:
+      {
+        'all': All attention (source = AB, target = AB)
+        'aa': Sentence A self-attention (source = A, target = A) (if sentence_b is not None)
+        'bb': Sentence B self-attention (source = B, target = B) (if sentence_b is not None)
+        'ab': Sentence A -> Sentence B attention (source = A, target = B) (if sentence_b is not None)
+        'ba': Sentence B -> Sentence A attention (source = B, target = A) (if sentence_b is not None)
+      }
+      where each value is a dictionary:
+      {
+        'left_text': list of source tokens, to be displayed on the left of the vis
+        'right_text': list of target tokens, to be displayed on the right of the vis
+        'attn': list of attention matrices, one for each layer. Each has shape [num_heads, source_seq_len, target_seq_len]
+        'queries' (optional): list of query vector arrays, one for each layer. Each has shape (num_heads, source_seq_len, vector_size)
+        'keys' (optional): list of key vector arrays, one for each layer. Each has shape (num_heads, target_seq_len, vector_size)
+      }
+    """
+
+    if model_type not in ('bert', 'gpt2', 'xlnet', 'roberta'):
+        raise ValueError("Invalid model type:", model_type)
+    if not sentence_a:
+        raise ValueError("Sentence A is required")
+    is_sentence_pair = bool(sentence_b)
+    if is_sentence_pair and model_type not in ('bert', 'roberta', 'xlnet'):
+        raise ValueError(f'Model {model_type} does not support sentence pairs')
+    if is_sentence_pair and model_type == 'xlnet':
+        raise NotImplementedError("Sentence-pair inputs for XLNet not currently supported.")
+
+    # Prepare inputs to model
+    tokens_a = None
+    tokens_b = None
+    token_type_ids = None
+    if not is_sentence_pair:  # Single sentence
+        if model_type in ('bert', 'roberta'):
+            tokens_a = [tokenizer.cls_token] + tokenizer.tokenize(sentence_a) + [tokenizer.sep_token]
+        elif model_type == 'xlnet':
+            tokens_a = tokenizer.tokenize(sentence_a) + [tokenizer.sep_token] + [tokenizer.cls_token]
+        else:
+            tokens_a = tokenizer.tokenize(sentence_a)
+    else:
+        if model_type == 'bert':
+            tokens_a = [tokenizer.cls_token] + tokenizer.tokenize(sentence_a) + [tokenizer.sep_token]
+            tokens_b = tokenizer.tokenize(sentence_b) + [tokenizer.sep_token]
+            token_type_ids = torch.LongTensor([[0] * len(tokens_a) + [1] * len(tokens_b)])
+        elif model_type == 'roberta':
+            tokens_a = [tokenizer.cls_token] + tokenizer.tokenize(sentence_a) + [tokenizer.sep_token]
+            tokens_b = [tokenizer.sep_token] + tokenizer.tokenize(sentence_b) + [tokenizer.sep_token]
+            # Roberta doesn't use token type embeddings per https://github.com/huggingface/pytorch-transformers/blob/master/pytorch_transformers/convert_roberta_checkpoint_to_pytorch.py
+        else:
+            tokens_b = tokenizer.tokenize(sentence_b)
+
+    token_ids = tokenizer.convert_tokens_to_ids(tokens_a + (tokens_b if tokens_b else []))
+    tokens_tensor = torch.tensor(token_ids).unsqueeze(0)
+
+    # Call model to get attention data
+    model.eval()
+    if token_type_ids is not None:
+        output = model(tokens_tensor, token_type_ids=token_type_ids)
+    else:
+        output = model(tokens_tensor)
+    attn_data_list = output[-1]
+
+    # Populate map with attn data and, optionally, query, key data
+    attn_dict = defaultdict(list)
+    if include_queries_and_keys:
+        queries_dict = defaultdict(list)
+        keys_dict = defaultdict(list)
+
+    if is_sentence_pair:
+        slice_a = slice(0, len(tokens_a))  # Positions corresponding to sentence A in input
+        slice_b = slice(len(tokens_a), len(tokens_a) + len(tokens_b))  # Position corresponding to sentence B in input
+    for layer, attn_data in enumerate(attn_data_list):
+        # Process attention
+        attn = attn_data['attn'][0]  # assume batch_size=1; shape = [num_heads, source_seq_len, target_seq_len]
+        attn_dict['all'].append(attn.tolist())
+        if is_sentence_pair:
+            attn_dict['aa'].append(
+                attn[:, slice_a, slice_a].tolist())  # Append A->A attention for layer, across all heads
+            attn_dict['bb'].append(
+                attn[:, slice_b, slice_b].tolist())  # Append B->B attention for layer, across all heads
+            attn_dict['ab'].append(
+                attn[:, slice_a, slice_b].tolist())  # Append A->B attention for layer, across all heads
+            attn_dict['ba'].append(
+                attn[:, slice_b, slice_a].tolist())  # Append B->A attention for layer, across all heads
+        # Process queries and keys
+        if include_queries_and_keys:
+            queries = attn_data['queries'][0]  # assume batch_size=1; shape = [num_heads, seq_len, vector_size]
+            keys = attn_data['keys'][0]  # assume batch_size=1; shape = [num_heads, seq_len, vector_size]
+            queries_dict['all'].append(queries.tolist())
+            keys_dict['all'].append(keys.tolist())
+            if is_sentence_pair:
+                queries_dict['a'].append(queries[:, slice_a, :].tolist())
+                keys_dict['a'].append(keys[:, slice_a, :].tolist())
+                queries_dict['b'].append(queries[:, slice_b, :].tolist())
+                keys_dict['b'].append(keys[:, slice_b, :].tolist())
+
+    tokens_a = format_special_chars(tokens_a)
+    if tokens_b:
+        tokens_b = format_special_chars(tokens_b)
+    if model_type != 'gpt2':
+        tokens_a = format_delimiters(tokens_a, tokenizer)
+        if tokens_b:
+            tokens_b = format_delimiters(tokens_b, tokenizer)
+
+    results = {
+        'all': {
+            'attn': attn_dict['all'],
+            'left_text': tokens_a + (tokens_b if tokens_b else []),
+            'right_text': tokens_a + (tokens_b if tokens_b else [])
+        }
+    }
+    if is_sentence_pair:
+        results.update({
+            'aa': {
+                'attn': attn_dict['aa'],
+                'left_text': tokens_a,
+                'right_text': tokens_a
+            },
+            'bb': {
+                'attn': attn_dict['bb'],
+                'left_text': tokens_b,
+                'right_text': tokens_b
+            },
+            'ab': {
+                'attn': attn_dict['ab'],
+                'left_text': tokens_a,
+                'right_text': tokens_b
+            },
+            'ba': {
+                'attn': attn_dict['ba'],
+                'left_text': tokens_b,
+                'right_text': tokens_a
+            }
+        })
+    if include_queries_and_keys:
+        results['all'].update({
+            'queries': queries_dict['all'],
+            'keys': keys_dict['all'],
+        })
+        if is_sentence_pair:
+            results['aa'].update({
+                'queries': queries_dict['a'],
+                'keys': keys_dict['a'],
+            })
+            results['bb'].update({
+                'queries': queries_dict['b'],
+                'keys': keys_dict['b'],
+            })
+            results['ab'].update({
+                'queries': queries_dict['a'],
+                'keys': keys_dict['b'],
+            })
+            results['ba'].update({
+                'queries': queries_dict['b'],
+                'keys': keys_dict['a'],
+            })
+    return results
+
+
+def format_special_chars(tokens):
+    return [t.replace('Ġ', ' ').replace('▁', ' ') for t in tokens]
+
+
+def format_delimiters(tokens, tokenizer):
+    formatted_tokens = []
+    for t in tokens:
+        if tokenizer.sep_token:
+            t = t.replace(tokenizer.sep_token, '[SEP]')
+        if tokenizer.cls_token:
+            t = t.replace(tokenizer.cls_token, '[CLS]')
+        formatted_tokens.append(t)
+    return formatted_tokens

11777-Group11-master/attention_weight_vis/bertviz/transformers_neuron_view/__init__.py

@@ -0,0 +1,46 @@
+__version__ = "1.1.0"
+from .tokenization_bert import BertTokenizer, BasicTokenizer, WordpieceTokenizer
+from .tokenization_openai import OpenAIGPTTokenizer
+from .tokenization_transfo_xl import (TransfoXLTokenizer, TransfoXLCorpus)
+from .tokenization_gpt2 import GPT2Tokenizer
+from .tokenization_xlnet import XLNetTokenizer, SPIECE_UNDERLINE
+from .tokenization_xlm import XLMTokenizer
+from .tokenization_roberta import RobertaTokenizer
+
+from .tokenization_utils import (PreTrainedTokenizer)
+
+from .modeling_bert import (BertConfig, BertPreTrainedModel, BertModel, BertForPreTraining,
+                            BertForMaskedLM, BertForNextSentencePrediction,
+                            BertForSequenceClassification, BertForMultipleChoice,
+                            BertForTokenClassification, BertForQuestionAnswering,
+                            load_tf_weights_in_bert, BERT_PRETRAINED_MODEL_ARCHIVE_MAP,
+                            BERT_PRETRAINED_CONFIG_ARCHIVE_MAP)
+from .modeling_openai import (OpenAIGPTConfig, OpenAIGPTPreTrainedModel, OpenAIGPTModel,
+                              OpenAIGPTLMHeadModel, OpenAIGPTDoubleHeadsModel,
+                              load_tf_weights_in_openai_gpt, OPENAI_GPT_PRETRAINED_CONFIG_ARCHIVE_MAP,
+                              OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_MAP)
+from .modeling_transfo_xl import (TransfoXLConfig, TransfoXLModel, TransfoXLLMHeadModel,
+                                  load_tf_weights_in_transfo_xl, TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP,
+                                  TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_MAP)
+from .modeling_gpt2 import (GPT2Config, GPT2PreTrainedModel, GPT2Model,
+                            GPT2LMHeadModel, GPT2DoubleHeadsModel,
+                            load_tf_weights_in_gpt2, GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP,
+                            GPT2_PRETRAINED_MODEL_ARCHIVE_MAP)
+from .modeling_xlnet import (XLNetConfig,
+                             XLNetPreTrainedModel, XLNetModel, XLNetLMHeadModel,
+                             XLNetForSequenceClassification, XLNetForQuestionAnswering,
+                             load_tf_weights_in_xlnet, XLNET_PRETRAINED_CONFIG_ARCHIVE_MAP,
+                             XLNET_PRETRAINED_MODEL_ARCHIVE_MAP)
+from .modeling_xlm import (XLMConfig, XLMPreTrainedModel , XLMModel,
+                           XLMWithLMHeadModel, XLMForSequenceClassification,
+                           XLMForQuestionAnswering, XLM_PRETRAINED_CONFIG_ARCHIVE_MAP,
+                           XLM_PRETRAINED_MODEL_ARCHIVE_MAP)
+from .modeling_roberta import (RobertaConfig, RobertaForMaskedLM, RobertaModel, RobertaForSequenceClassification,
+                               ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, ROBERTA_PRETRAINED_MODEL_ARCHIVE_MAP)
+from .modeling_utils import (WEIGHTS_NAME, CONFIG_NAME, TF_WEIGHTS_NAME,
+                          PretrainedConfig, PreTrainedModel, prune_layer, Conv1D)
+
+# from .optimization import (AdamW, ConstantLRSchedule, WarmupConstantSchedule, WarmupCosineSchedule,
+#                            WarmupCosineWithHardRestartsSchedule, WarmupLinearSchedule)
+
+from .file_utils import (PYTORCH_TRANSFORMERS_CACHE, PYTORCH_PRETRAINED_BERT_CACHE, cached_path)

11777-Group11-master/get_model.sh

@@ -0,0 +1,9 @@
+export MODEL_NAME=base-vg-labels
+export MODEL_DIR=model
+sudo apt-get update
+sudo apt-get install unzip
+mkdir $MODEL_DIR
+wget https://biglmdiag.blob.core.windows.net/oscar/pretrained_models/$MODEL_NAME.zip
+unzip $MODEL_NAME.zip -d $MODEL_DIR
+rm $MODEL_NAME.zip
+echo DONE

11777-Group11-master/oscar/distillation/run_squad_w_distillation.py

@@ -0,0 +1,866 @@
+# coding=utf-8
+# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
+# Copyright (c) 2018, NVIDIA CORPORATION.  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.
+""" This is the exact same script as `examples/question-answering/run_squad.py` (as of 2020, January 8th) with an additional and optional step of distillation."""
+
+import argparse
+import glob
+import logging
+import os
+import random
+import timeit
+
+import numpy as np
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+from torch.utils.data import DataLoader, RandomSampler, SequentialSampler
+from torch.utils.data.distributed import DistributedSampler
+from tqdm import tqdm, trange
+
+from transformers import (
+    WEIGHTS_NAME,
+    AdamW,
+    BertConfig,
+    BertForQuestionAnswering,
+    BertTokenizer,
+    DistilBertConfig,
+    DistilBertForQuestionAnswering,
+    DistilBertTokenizer,
+    RobertaConfig,
+    RobertaForQuestionAnswering,
+    RobertaTokenizer,
+    XLMConfig,
+    XLMForQuestionAnswering,
+    XLMTokenizer,
+    XLNetConfig,
+    XLNetForQuestionAnswering,
+    XLNetTokenizer,
+    get_linear_schedule_with_warmup,
+    squad_convert_examples_to_features,
+)
+from transformers.data.metrics.squad_metrics import (
+    compute_predictions_log_probs,
+    compute_predictions_logits,
+    squad_evaluate,
+)
+from transformers.data.processors.squad import SquadResult, SquadV1Processor, SquadV2Processor
+
+
+try:
+    from torch.utils.tensorboard import SummaryWriter
+except ImportError:
+    from tensorboardX import SummaryWriter
+
+
+logger = logging.getLogger(__name__)
+
+
+MODEL_CLASSES = {
+    "bert": (BertConfig, BertForQuestionAnswering, BertTokenizer),
+    "xlnet": (XLNetConfig, XLNetForQuestionAnswering, XLNetTokenizer),
+    "xlm": (XLMConfig, XLMForQuestionAnswering, XLMTokenizer),
+    "distilbert": (DistilBertConfig, DistilBertForQuestionAnswering, DistilBertTokenizer),
+    "roberta": (RobertaConfig, RobertaForQuestionAnswering, RobertaTokenizer),
+}
+
+
+def set_seed(args):
+    random.seed(args.seed)
+    np.random.seed(args.seed)
+    torch.manual_seed(args.seed)
+    if args.n_gpu > 0:
+        torch.cuda.manual_seed_all(args.seed)
+
+
+def to_list(tensor):
+    return tensor.detach().cpu().tolist()
+
+
+def train(args, train_dataset, model, tokenizer, teacher=None):
+    """ Train the model """
+    if args.local_rank in [-1, 0]:
+        tb_writer = SummaryWriter()
+
+    args.train_batch_size = args.per_gpu_train_batch_size * max(1, args.n_gpu)
+    train_sampler = RandomSampler(train_dataset) if args.local_rank == -1 else DistributedSampler(train_dataset)
+    train_dataloader = DataLoader(train_dataset, sampler=train_sampler, batch_size=args.train_batch_size)
+
+    if args.max_steps > 0:
+        t_total = args.max_steps
+        args.num_train_epochs = args.max_steps // (len(train_dataloader) // args.gradient_accumulation_steps) + 1
+    else:
+        t_total = len(train_dataloader) // args.gradient_accumulation_steps * args.num_train_epochs
+
+    # Prepare optimizer and schedule (linear warmup and decay)
+    no_decay = ["bias", "LayerNorm.weight"]
+    optimizer_grouped_parameters = [
+        {
+            "params": [p for n, p in model.named_parameters() if not any(nd in n for nd in no_decay)],
+            "weight_decay": args.weight_decay,
+        },
+        {"params": [p for n, p in model.named_parameters() if any(nd in n for nd in no_decay)], "weight_decay": 0.0},
+    ]
+    optimizer = AdamW(optimizer_grouped_parameters, lr=args.learning_rate, eps=args.adam_epsilon)
+    scheduler = get_linear_schedule_with_warmup(
+        optimizer, num_warmup_steps=args.warmup_steps, num_training_steps=t_total
+    )
+
+    # Check if saved optimizer or scheduler states exist
+    if os.path.isfile(os.path.join(args.model_name_or_path, "optimizer.pt")) and os.path.isfile(
+        os.path.join(args.model_name_or_path, "scheduler.pt")
+    ):
+        # Load in optimizer and scheduler states
+        optimizer.load_state_dict(torch.load(os.path.join(args.model_name_or_path, "optimizer.pt")))
+        scheduler.load_state_dict(torch.load(os.path.join(args.model_name_or_path, "scheduler.pt")))
+
+    if args.fp16:
+        try:
+            from apex import amp
+        except ImportError:
+            raise ImportError("Please install apex from https://www.github.com/nvidia/apex to use fp16 training.")
+
+        model, optimizer = amp.initialize(model, optimizer, opt_level=args.fp16_opt_level)
+
+    # multi-gpu training (should be after apex fp16 initialization)
+    if args.n_gpu > 1:
+        model = torch.nn.DataParallel(model)
+
+    # Distributed training (should be after apex fp16 initialization)
+    if args.local_rank != -1:
+        model = torch.nn.parallel.DistributedDataParallel(
+            model, device_ids=[args.local_rank], output_device=args.local_rank, find_unused_parameters=True
+        )
+
+    # Train!
+    logger.info("***** Running training *****")
+    logger.info("  Num examples = %d", len(train_dataset))
+    logger.info("  Num Epochs = %d", args.num_train_epochs)
+    logger.info("  Instantaneous batch size per GPU = %d", args.per_gpu_train_batch_size)
+    logger.info(
+        "  Total train batch size (w. parallel, distributed & accumulation) = %d",
+        args.train_batch_size
+        * args.gradient_accumulation_steps
+        * (torch.distributed.get_world_size() if args.local_rank != -1 else 1),
+    )
+    logger.info("  Gradient Accumulation steps = %d", args.gradient_accumulation_steps)
+    logger.info("  Total optimization steps = %d", t_total)
+
+    global_step = 1
+    epochs_trained = 0
+    steps_trained_in_current_epoch = 0
+    # Check if continuing training from a checkpoint
+    if os.path.exists(args.model_name_or_path):
+        try:
+            # set global_step to gobal_step of last saved checkpoint from model path
+            checkpoint_suffix = args.model_name_or_path.split("-")[-1].split("/")[0]
+            global_step = int(checkpoint_suffix)
+            epochs_trained = global_step // (len(train_dataloader) // args.gradient_accumulation_steps)
+            steps_trained_in_current_epoch = global_step % (len(train_dataloader) // args.gradient_accumulation_steps)
+
+            logger.info("  Continuing training from checkpoint, will skip to saved global_step")
+            logger.info("  Continuing training from epoch %d", epochs_trained)
+            logger.info("  Continuing training from global step %d", global_step)
+            logger.info("  Will skip the first %d steps in the first epoch", steps_trained_in_current_epoch)
+        except ValueError:
+            logger.info("  Starting fine-tuning.")
+
+    tr_loss, logging_loss = 0.0, 0.0
+    model.zero_grad()
+    train_iterator = trange(
+        epochs_trained, int(args.num_train_epochs), desc="Epoch", disable=args.local_rank not in [-1, 0]
+    )
+    # Added here for reproductibility
+    set_seed(args)
+
+    for _ in train_iterator:
+        epoch_iterator = tqdm(train_dataloader, desc="Iteration", disable=args.local_rank not in [-1, 0])
+        for step, batch in enumerate(epoch_iterator):
+
+            # Skip past any already trained steps if resuming training
+            if steps_trained_in_current_epoch > 0:
+                steps_trained_in_current_epoch -= 1
+                continue
+
+            model.train()
+            if teacher is not None:
+                teacher.eval()
+            batch = tuple(t.to(args.device) for t in batch)
+
+            inputs = {
+                "input_ids": batch[0],
+                "attention_mask": batch[1],
+                "start_positions": batch[3],
+                "end_positions": batch[4],
+            }
+            if args.model_type != "distilbert":
+                inputs["token_type_ids"] = None if args.model_type == "xlm" else batch[2]
+            if args.model_type in ["xlnet", "xlm"]:
+                inputs.update({"cls_index": batch[5], "p_mask": batch[6]})
+                if args.version_2_with_negative:
+                    inputs.update({"is_impossible": batch[7]})
+            outputs = model(**inputs)
+            loss, start_logits_stu, end_logits_stu = outputs
+
+            # Distillation loss
+            if teacher is not None:
+                if "token_type_ids" not in inputs:
+                    inputs["token_type_ids"] = None if args.teacher_type == "xlm" else batch[2]
+                with torch.no_grad():
+                    start_logits_tea, end_logits_tea = teacher(
+                        input_ids=inputs["input_ids"],
+                        token_type_ids=inputs["token_type_ids"],
+                        attention_mask=inputs["attention_mask"],
+                    )
+                assert start_logits_tea.size() == start_logits_stu.size()
+                assert end_logits_tea.size() == end_logits_stu.size()
+
+                loss_fct = nn.KLDivLoss(reduction="batchmean")
+                loss_start = (
+                    loss_fct(
+                        F.log_softmax(start_logits_stu / args.temperature, dim=-1),
+                        F.softmax(start_logits_tea / args.temperature, dim=-1),
+                    )
+                    * (args.temperature ** 2)
+                )
+                loss_end = (
+                    loss_fct(
+                        F.log_softmax(end_logits_stu / args.temperature, dim=-1),
+                        F.softmax(end_logits_tea / args.temperature, dim=-1),
+                    )
+                    * (args.temperature ** 2)
+                )
+                loss_ce = (loss_start + loss_end) / 2.0
+
+                loss = args.alpha_ce * loss_ce + args.alpha_squad * loss
+
+            if args.n_gpu > 1:
+                loss = loss.mean()  # mean() to average on multi-gpu parallel (not distributed) training
+            if args.gradient_accumulation_steps > 1:
+                loss = loss / args.gradient_accumulation_steps
+
+            if args.fp16:
+                with amp.scale_loss(loss, optimizer) as scaled_loss:
+                    scaled_loss.backward()
+            else:
+                loss.backward()
+
+            tr_loss += loss.item()
+            if (step + 1) % args.gradient_accumulation_steps == 0:
+                if args.fp16:
+                    torch.nn.utils.clip_grad_norm_(amp.master_params(optimizer), args.max_grad_norm)
+                else:
+                    torch.nn.utils.clip_grad_norm_(model.parameters(), args.max_grad_norm)
+
+                optimizer.step()
+                scheduler.step()  # Update learning rate schedule
+                model.zero_grad()
+                global_step += 1
+
+                # Log metrics
+                if args.local_rank in [-1, 0] and args.logging_steps > 0 and global_step % args.logging_steps == 0:
+                    # Only evaluate when single GPU otherwise metrics may not average well
+                    if args.local_rank == -1 and args.evaluate_during_training:
+                        results = evaluate(args, model, tokenizer)
+                        for key, value in results.items():
+                            tb_writer.add_scalar("eval_{}".format(key), value, global_step)
+                    tb_writer.add_scalar("lr", scheduler.get_lr()[0], global_step)
+                    tb_writer.add_scalar("loss", (tr_loss - logging_loss) / args.logging_steps, global_step)
+                    logging_loss = tr_loss
+
+                if args.local_rank in [-1, 0] and args.save_steps > 0 and global_step % args.save_steps == 0:
+                    # Save model checkpoint
+                    output_dir = os.path.join(args.output_dir, "checkpoint-{}".format(global_step))
+                    if not os.path.exists(output_dir):
+                        os.makedirs(output_dir)
+                    model_to_save = (
+                        model.module if hasattr(model, "module") else model
+                    )  # Take care of distributed/parallel training
+                    model_to_save.save_pretrained(output_dir)
+                    tokenizer.save_pretrained(output_dir)
+
+                    torch.save(args, os.path.join(output_dir, "training_args.bin"))
+                    logger.info("Saving model checkpoint to %s", output_dir)
+
+                    torch.save(optimizer.state_dict(), os.path.join(output_dir, "optimizer.pt"))
+                    torch.save(scheduler.state_dict(), os.path.join(output_dir, "scheduler.pt"))
+                    logger.info("Saving optimizer and scheduler states to %s", output_dir)
+
+            if args.max_steps > 0 and global_step > args.max_steps:
+                epoch_iterator.close()
+                break
+        if args.max_steps > 0 and global_step > args.max_steps:
+            train_iterator.close()
+            break
+
+    if args.local_rank in [-1, 0]:
+        tb_writer.close()
+
+    return global_step, tr_loss / global_step
+
+
+def evaluate(args, model, tokenizer, prefix=""):
+    dataset, examples, features = load_and_cache_examples(args, tokenizer, evaluate=True, output_examples=True)
+
+    if not os.path.exists(args.output_dir) and args.local_rank in [-1, 0]:
+        os.makedirs(args.output_dir)
+
+    args.eval_batch_size = args.per_gpu_eval_batch_size * max(1, args.n_gpu)
+
+    # Note that DistributedSampler samples randomly
+    eval_sampler = SequentialSampler(dataset)
+    eval_dataloader = DataLoader(dataset, sampler=eval_sampler, batch_size=args.eval_batch_size)
+
+    # multi-gpu evaluate
+    if args.n_gpu > 1 and not isinstance(model, torch.nn.DataParallel):
+        model = torch.nn.DataParallel(model)
+
+    # Eval!
+    logger.info("***** Running evaluation {} *****".format(prefix))
+    logger.info("  Num examples = %d", len(dataset))
+    logger.info("  Batch size = %d", args.eval_batch_size)
+
+    all_results = []
+    start_time = timeit.default_timer()
+
+    for batch in tqdm(eval_dataloader, desc="Evaluating"):
+        model.eval()
+        batch = tuple(t.to(args.device) for t in batch)
+
+        with torch.no_grad():
+            inputs = {"input_ids": batch[0], "attention_mask": batch[1]}
+            if args.model_type != "distilbert":
+                inputs["token_type_ids"] = None if args.model_type == "xlm" else batch[2]  # XLM don't use segment_ids
+            example_indices = batch[3]
+            if args.model_type in ["xlnet", "xlm"]:
+                inputs.update({"cls_index": batch[4], "p_mask": batch[5]})
+
+            outputs = model(**inputs)
+
+        for i, example_index in enumerate(example_indices):
+            eval_feature = features[example_index.item()]
+            unique_id = int(eval_feature.unique_id)
+
+            output = [to_list(output[i]) for output in outputs]
+
+            # Some models (XLNet, XLM) use 5 arguments for their predictions, while the other "simpler"
+            # models only use two.
+            if len(output) >= 5:
+                start_logits = output[0]
+                start_top_index = output[1]
+                end_logits = output[2]
+                end_top_index = output[3]
+                cls_logits = output[4]
+
+                result = SquadResult(
+                    unique_id,
+                    start_logits,
+                    end_logits,
+                    start_top_index=start_top_index,
+                    end_top_index=end_top_index,
+                    cls_logits=cls_logits,
+                )
+
+            else:
+                start_logits, end_logits = output
+                result = SquadResult(unique_id, start_logits, end_logits)
+
+            all_results.append(result)
+
+    evalTime = timeit.default_timer() - start_time
+    logger.info("  Evaluation done in total %f secs (%f sec per example)", evalTime, evalTime / len(dataset))
+
+    # Compute predictions
+    output_prediction_file = os.path.join(args.output_dir, "predictions_{}.json".format(prefix))
+    output_nbest_file = os.path.join(args.output_dir, "nbest_predictions_{}.json".format(prefix))
+
+    if args.version_2_with_negative:
+        output_null_log_odds_file = os.path.join(args.output_dir, "null_odds_{}.json".format(prefix))
+    else:
+        output_null_log_odds_file = None
+
+    if args.model_type in ["xlnet", "xlm"]:
+        # XLNet uses a more complex post-processing procedure
+        predictions = compute_predictions_log_probs(
+            examples,
+            features,
+            all_results,
+            args.n_best_size,
+            args.max_answer_length,
+            output_prediction_file,
+            output_nbest_file,
+            output_null_log_odds_file,
+            model.config.start_n_top,
+            model.config.end_n_top,
+            args.version_2_with_negative,
+            tokenizer,
+            args.verbose_logging,
+        )
+    else:
+        predictions = compute_predictions_logits(
+            examples,
+            features,
+            all_results,
+            args.n_best_size,
+            args.max_answer_length,
+            args.do_lower_case,
+            output_prediction_file,
+            output_nbest_file,
+            output_null_log_odds_file,
+            args.verbose_logging,
+            args.version_2_with_negative,
+            args.null_score_diff_threshold,
+            tokenizer,
+        )
+
+    # Compute the F1 and exact scores.
+    results = squad_evaluate(examples, predictions)
+    return results
+
+
+def load_and_cache_examples(args, tokenizer, evaluate=False, output_examples=False):
+    if args.local_rank not in [-1, 0] and not evaluate:
+        # Make sure only the first process in distributed training process the dataset, and the others will use the cache
+        torch.distributed.barrier()
+
+    # Load data features from cache or dataset file
+    input_file = args.predict_file if evaluate else args.train_file
+    cached_features_file = os.path.join(
+        os.path.dirname(input_file),
+        "cached_distillation_{}_{}_{}".format(
+            "dev" if evaluate else "train",
+            list(filter(None, args.model_name_or_path.split("/"))).pop(),
+            str(args.max_seq_length),
+        ),
+    )
+    if os.path.exists(cached_features_file) and not args.overwrite_cache:
+        logger.info("Loading features from cached file %s", cached_features_file)
+        features_and_dataset = torch.load(cached_features_file)
+
+        try:
+            features, dataset, examples = (
+                features_and_dataset["features"],
+                features_and_dataset["dataset"],
+                features_and_dataset["examples"],
+            )
+        except KeyError:
+            raise DeprecationWarning(
+                "You seem to be loading features from an older version of this script please delete the "
+                "file %s in order for it to be created again" % cached_features_file
+            )
+    else:
+        logger.info("Creating features from dataset file at %s", input_file)
+        processor = SquadV2Processor() if args.version_2_with_negative else SquadV1Processor()
+        if evaluate:
+            examples = processor.get_dev_examples(args.data_dir, filename=args.predict_file)
+        else:
+            examples = processor.get_train_examples(args.data_dir, filename=args.train_file)
+
+        features, dataset = squad_convert_examples_to_features(
+            examples=examples,
+            tokenizer=tokenizer,
+            max_seq_length=args.max_seq_length,
+            doc_stride=args.doc_stride,
+            max_query_length=args.max_query_length,
+            is_training=not evaluate,
+            return_dataset="pt",
+            threads=args.threads,
+        )
+
+        if args.local_rank in [-1, 0]:
+            logger.info("Saving features into cached file %s", cached_features_file)
+            torch.save({"features": features, "dataset": dataset, "examples": examples}, cached_features_file)
+
+    if args.local_rank == 0 and not evaluate:
+        # Make sure only the first process in distributed training process the dataset, and the others will use the cache
+        torch.distributed.barrier()
+
+    if output_examples:
+        return dataset, examples, features
+    return dataset
+
+
+def main():
+    parser = argparse.ArgumentParser()
+
+    # Required parameters
+    parser.add_argument(
+        "--model_type",
+        default=None,
+        type=str,
+        required=True,
+        help="Model type selected in the list: " + ", ".join(MODEL_CLASSES.keys()),
+    )
+    parser.add_argument(
+        "--model_name_or_path",
+        default=None,
+        type=str,
+        required=True,
+        help="Path to pretrained model or model identifier from huggingface.co/models",
+    )
+    parser.add_argument(
+        "--output_dir",
+        default=None,
+        type=str,
+        required=True,
+        help="The output directory where the model checkpoints and predictions will be written.",
+    )
+
+    # Distillation parameters (optional)
+    parser.add_argument(
+        "--teacher_type",
+        default=None,
+        type=str,
+        help="Teacher type. Teacher tokenizer and student (model) tokenizer must output the same tokenization. Only for distillation.",
+    )
+    parser.add_argument(
+        "--teacher_name_or_path",
+        default=None,
+        type=str,
+        help="Path to the already SQuAD fine-tuned teacher model. Only for distillation.",
+    )
+    parser.add_argument(
+        "--alpha_ce", default=0.5, type=float, help="Distillation loss linear weight. Only for distillation."
+    )
+    parser.add_argument(
+        "--alpha_squad", default=0.5, type=float, help="True SQuAD loss linear weight. Only for distillation."
+    )
+    parser.add_argument(
+        "--temperature", default=2.0, type=float, help="Distillation temperature. Only for distillation."
+    )
+
+    # Other parameters
+    parser.add_argument(
+        "--data_dir",
+        default=None,
+        type=str,
+        help="The input data dir. Should contain the .json files for the task."
+        + "If no data dir or train/predict files are specified, will run with tensorflow_datasets.",
+    )
+    parser.add_argument(
+        "--train_file",
+        default=None,
+        type=str,
+        help="The input training file. If a data dir is specified, will look for the file there"
+        + "If no data dir or train/predict files are specified, will run with tensorflow_datasets.",
+    )
+    parser.add_argument(
+        "--predict_file",
+        default=None,
+        type=str,
+        help="The input evaluation file. If a data dir is specified, will look for the file there"
+        + "If no data dir or train/predict files are specified, will run with tensorflow_datasets.",
+    )
+    parser.add_argument(
+        "--config_name", default="", type=str, help="Pretrained config name or path if not the same as model_name"
+    )
+    parser.add_argument(
+        "--tokenizer_name",
+        default="",
+        type=str,
+        help="Pretrained tokenizer name or path if not the same as model_name",
+    )
+    parser.add_argument(
+        "--cache_dir",
+        default="",
+        type=str,
+        help="Where do you want to store the pre-trained models downloaded from s3",
+    )
+
+    parser.add_argument(
+        "--version_2_with_negative",
+        action="store_true",
+        help="If true, the SQuAD examples contain some that do not have an answer.",
+    )
+    parser.add_argument(
+        "--null_score_diff_threshold",
+        type=float,
+        default=0.0,
+        help="If null_score - best_non_null is greater than the threshold predict null.",
+    )
+
+    parser.add_argument(
+        "--max_seq_length",
+        default=384,
+        type=int,
+        help="The maximum total input sequence length after WordPiece tokenization. Sequences "
+        "longer than this will be truncated, and sequences shorter than this will be padded.",
+    )
+    parser.add_argument(
+        "--doc_stride",
+        default=128,
+        type=int,
+        help="When splitting up a long document into chunks, how much stride to take between chunks.",
+    )
+    parser.add_argument(
+        "--max_query_length",
+        default=64,
+        type=int,
+        help="The maximum number of tokens for the question. Questions longer than this will "
+        "be truncated to this length.",
+    )
+    parser.add_argument("--do_train", action="store_true", help="Whether to run training.")
+    parser.add_argument("--do_eval", action="store_true", help="Whether to run eval on the dev set.")
+    parser.add_argument(
+        "--evaluate_during_training", action="store_true", help="Rul evaluation during training at each logging step."
+    )
+    parser.add_argument(
+        "--do_lower_case", action="store_true", help="Set this flag if you are using an uncased model."
+    )
+
+    parser.add_argument("--per_gpu_train_batch_size", default=8, type=int, help="Batch size per GPU/CPU for training.")
+    parser.add_argument(
+        "--per_gpu_eval_batch_size", default=8, type=int, help="Batch size per GPU/CPU for evaluation."
+    )
+    parser.add_argument("--learning_rate", default=5e-5, type=float, help="The initial learning rate for Adam.")
+    parser.add_argument(
+        "--gradient_accumulation_steps",
+        type=int,
+        default=1,
+        help="Number of updates steps to accumulate before performing a backward/update pass.",
+    )
+    parser.add_argument("--weight_decay", default=0.0, type=float, help="Weight decay if we apply some.")
+    parser.add_argument("--adam_epsilon", default=1e-8, type=float, help="Epsilon for Adam optimizer.")
+    parser.add_argument("--max_grad_norm", default=1.0, type=float, help="Max gradient norm.")
+    parser.add_argument(
+        "--num_train_epochs", default=3.0, type=float, help="Total number of training epochs to perform."
+    )
+    parser.add_argument(
+        "--max_steps",
+        default=-1,
+        type=int,
+        help="If > 0: set total number of training steps to perform. Override num_train_epochs.",
+    )
+    parser.add_argument("--warmup_steps", default=0, type=int, help="Linear warmup over warmup_steps.")
+    parser.add_argument(
+        "--n_best_size",
+        default=20,
+        type=int,
+        help="The total number of n-best predictions to generate in the nbest_predictions.json output file.",
+    )
+    parser.add_argument(
+        "--max_answer_length",
+        default=30,
+        type=int,
+        help="The maximum length of an answer that can be generated. This is needed because the start "
+        "and end predictions are not conditioned on one another.",
+    )
+    parser.add_argument(
+        "--verbose_logging",
+        action="store_true",
+        help="If true, all of the warnings related to data processing will be printed. "
+        "A number of warnings are expected for a normal SQuAD evaluation.",
+    )
+
+    parser.add_argument("--logging_steps", type=int, default=50, help="Log every X updates steps.")
+    parser.add_argument("--save_steps", type=int, default=50, help="Save checkpoint every X updates steps.")
+    parser.add_argument(
+        "--eval_all_checkpoints",
+        action="store_true",
+        help="Evaluate all checkpoints starting with the same prefix as model_name ending and ending with step number",
+    )
+    parser.add_argument("--no_cuda", action="store_true", help="Whether not to use CUDA when available")
+    parser.add_argument(
+        "--overwrite_output_dir", action="store_true", help="Overwrite the content of the output directory"
+    )
+    parser.add_argument(
+        "--overwrite_cache", action="store_true", help="Overwrite the cached training and evaluation sets"
+    )
+    parser.add_argument("--seed", type=int, default=42, help="random seed for initialization")
+
+    parser.add_argument("--local_rank", type=int, default=-1, help="local_rank for distributed training on gpus")
+    parser.add_argument(
+        "--fp16",
+        action="store_true",
+        help="Whether to use 16-bit (mixed) precision (through NVIDIA apex) instead of 32-bit",
+    )
+    parser.add_argument(
+        "--fp16_opt_level",
+        type=str,
+        default="O1",
+        help="For fp16: Apex AMP optimization level selected in ['O0', 'O1', 'O2', and 'O3']."
+        "See details at https://nvidia.github.io/apex/amp.html",
+    )
+    parser.add_argument("--server_ip", type=str, default="", help="Can be used for distant debugging.")
+    parser.add_argument("--server_port", type=str, default="", help="Can be used for distant debugging.")
+
+    parser.add_argument("--threads", type=int, default=1, help="multiple threads for converting example to features")
+    args = parser.parse_args()
+
+    if (
+        os.path.exists(args.output_dir)
+        and os.listdir(args.output_dir)
+        and args.do_train
+        and not args.overwrite_output_dir
+    ):
+        raise ValueError(
+            "Output directory ({}) already exists and is not empty. Use --overwrite_output_dir to overcome.".format(
+                args.output_dir
+            )
+        )
+
+    # Setup distant debugging if needed
+    if args.server_ip and args.server_port:
+        # Distant debugging - see https://code.visualstudio.com/docs/python/debugging#_attach-to-a-local-script
+        import ptvsd
+
+        print("Waiting for debugger attach")
+        ptvsd.enable_attach(address=(args.server_ip, args.server_port), redirect_output=True)
+        ptvsd.wait_for_attach()
+
+    # Setup CUDA, GPU & distributed training
+    if args.local_rank == -1 or args.no_cuda:
+        device = torch.device("cuda" if torch.cuda.is_available() and not args.no_cuda else "cpu")
+        args.n_gpu = 0 if args.no_cuda else torch.cuda.device_count()
+    else:  # Initializes the distributed backend which will take care of sychronizing nodes/GPUs
+        torch.cuda.set_device(args.local_rank)
+        device = torch.device("cuda", args.local_rank)
+        torch.distributed.init_process_group(backend="nccl")
+        args.n_gpu = 1
+    args.device = device
+
+    # Setup logging
+    logging.basicConfig(
+        format="%(asctime)s - %(levelname)s - %(name)s -   %(message)s",
+        datefmt="%m/%d/%Y %H:%M:%S",
+        level=logging.INFO if args.local_rank in [-1, 0] else logging.WARN,
+    )
+    logger.warning(
+        "Process rank: %s, device: %s, n_gpu: %s, distributed training: %s, 16-bits training: %s",
+        args.local_rank,
+        device,
+        args.n_gpu,
+        bool(args.local_rank != -1),
+        args.fp16,
+    )
+
+    # Set seed
+    set_seed(args)
+
+    # Load pretrained model and tokenizer
+    if args.local_rank not in [-1, 0]:
+        # Make sure only the first process in distributed training will download model & vocab
+        torch.distributed.barrier()
+
+    args.model_type = args.model_type.lower()
+    config_class, model_class, tokenizer_class = MODEL_CLASSES[args.model_type]
+    config = config_class.from_pretrained(
+        args.config_name if args.config_name else args.model_name_or_path,
+        cache_dir=args.cache_dir if args.cache_dir else None,
+    )
+    tokenizer = tokenizer_class.from_pretrained(
+        args.tokenizer_name if args.tokenizer_name else args.model_name_or_path,
+        do_lower_case=args.do_lower_case,
+        cache_dir=args.cache_dir if args.cache_dir else None,
+    )
+    model = model_class.from_pretrained(
+        args.model_name_or_path,
+        from_tf=bool(".ckpt" in args.model_name_or_path),
+        config=config,
+        cache_dir=args.cache_dir if args.cache_dir else None,
+    )
+
+    if args.teacher_type is not None:
+        assert args.teacher_name_or_path is not None
+        assert args.alpha_ce > 0.0
+        assert args.alpha_ce + args.alpha_squad > 0.0
+        assert args.teacher_type != "distilbert", "We constraint teachers not to be of type DistilBERT."
+        teacher_config_class, teacher_model_class, _ = MODEL_CLASSES[args.teacher_type]
+        teacher_config = teacher_config_class.from_pretrained(
+            args.teacher_name_or_path, cache_dir=args.cache_dir if args.cache_dir else None
+        )
+        teacher = teacher_model_class.from_pretrained(
+            args.teacher_name_or_path, config=teacher_config, cache_dir=args.cache_dir if args.cache_dir else None
+        )
+        teacher.to(args.device)
+    else:
+        teacher = None
+
+    if args.local_rank == 0:
+        # Make sure only the first process in distributed training will download model & vocab
+        torch.distributed.barrier()
+
+    model.to(args.device)
+
+    logger.info("Training/evaluation parameters %s", args)
+
+    # Before we do anything with models, we want to ensure that we get fp16 execution of torch.einsum if args.fp16 is set.
+    # Otherwise it'll default to "promote" mode, and we'll get fp32 operations. Note that running `--fp16_opt_level="O2"` will
+    # remove the need for this code, but it is still valid.
+    if args.fp16:
+        try:
+            import apex
+
+            apex.amp.register_half_function(torch, "einsum")
+        except ImportError:
+            raise ImportError("Please install apex from https://www.github.com/nvidia/apex to use fp16 training.")
+
+    # Training
+    if args.do_train:
+        train_dataset = load_and_cache_examples(args, tokenizer, evaluate=False, output_examples=False)
+        global_step, tr_loss = train(args, train_dataset, model, tokenizer, teacher=teacher)
+        logger.info(" global_step = %s, average loss = %s", global_step, tr_loss)
+
+    # Save the trained model and the tokenizer
+    if args.do_train and (args.local_rank == -1 or torch.distributed.get_rank() == 0):
+        logger.info("Saving model checkpoint to %s", args.output_dir)
+        # Save a trained model, configuration and tokenizer using `save_pretrained()`.
+        # They can then be reloaded using `from_pretrained()`
+        model_to_save = (
+            model.module if hasattr(model, "module") else model
+        )  # Take care of distributed/parallel training
+        model_to_save.save_pretrained(args.output_dir)
+        tokenizer.save_pretrained(args.output_dir)
+
+        # Good practice: save your training arguments together with the trained model
+        torch.save(args, os.path.join(args.output_dir, "training_args.bin"))
+
+        # Load a trained model and vocabulary that you have fine-tuned
+        model = model_class.from_pretrained(args.output_dir)
+        tokenizer = tokenizer_class.from_pretrained(args.output_dir, do_lower_case=args.do_lower_case)
+        model.to(args.device)
+
+    # Evaluation - we can ask to evaluate all the checkpoints (sub-directories) in a directory
+    results = {}
+    if args.do_eval and args.local_rank in [-1, 0]:
+        if args.do_train:
+            logger.info("Loading checkpoints saved during training for evaluation")
+        checkpoints = [args.output_dir]
+        if args.eval_all_checkpoints:
+            checkpoints = list(
+                os.path.dirname(c) for c in sorted(glob.glob(args.output_dir + "/**/" + WEIGHTS_NAME, recursive=True))
+            )
+
+        logger.info("Evaluate the following checkpoints: %s", checkpoints)
+
+        for checkpoint in checkpoints:
+            # Reload the model
+            global_step = checkpoint.split("-")[-1] if len(checkpoints) > 1 else ""
+            model = model_class.from_pretrained(checkpoint)
+            model.to(args.device)
+
+            # Evaluate
+            result = evaluate(args, model, tokenizer, prefix=global_step)
+
+            result = dict((k + ("_{}".format(global_step) if global_step else ""), v) for k, v in result.items())
+            results.update(result)
+
+    logger.info("Results: {}".format(results))
+
+    return results
+
+
+if __name__ == "__main__":
+    main()

11777-Group11-master/setup.py

@@ -0,0 +1,47 @@
+#!/usr/bin/python
+
+from __future__ import print_function
+import os
+import sys
+import re
+import os.path as op
+from setuptools import find_packages, setup
+
+# change directory to this module path
+try:
+    this_file = __file__
+except NameError:
+    this_file = sys.argv[0]
+this_file = os.path.abspath(this_file)
+if op.dirname(this_file):
+    os.chdir(op.dirname(this_file))
+script_dir = os.getcwd()
+
+def readme(fname):
+    """Read text out of a file in the same directory as setup.py.
+    """
+    return open(op.join(script_dir, fname)).read()
+
+
+def find_version(fname):
+    version_file = readme(fname)
+    version_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]",
+                              version_file, re.M)
+    if version_match:
+        return version_match.group(1)
+    raise RuntimeError("Unable to find version string.")
+
+
+setup(
+    name="oscar",
+    version=find_version("oscar/__init__.py"),
+    url='https://github.com/xjli/Oscar',
+    description="Oscar for vision and language tasks",
+    long_description=readme('README.md'),
+    packages=find_packages(),
+    classifiers=[
+        'Intended Audience :: Developers',
+        "Programming Language :: Python",
+        'Topic :: Software Development',
+    ]
+)