If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
 ) => [number, number, string] | undefined;
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: frontend/src/charts/tooltip.ts.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
     def __enter__(self):
        return self
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: mechanicalsoup/browser.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
 def _entry_disposition(response_headers, request_headers):
    """Determine freshness from the Date, Expires and Cache-Control headers.

    We don't handle the following:

    1. Cache-Control: max-stale
    2. Age: headers are not used in the calculations.

    Not that this algorithm is simpler than you might think
    because we are operating as a private (non-shared) cache.
    This lets us ignore 's-maxage'. We can also ignore
    'proxy-invalidate' since we aren't a proxy.
    We will never return a stale document as
    fresh as a design decision, and thus the non-implementation
    of 'max-stale'. This also lets us safely ignore 'must-revalidate'
    since we operate as if every server has sent 'must-revalidate'.
    Since we are private we get to ignore both 'public' and
    'private' parameters. We also ignore 'no-transform' since
    we don't do any transformations.
    The 'no-store' parameter is handled at a higher level.
    So the only Cache-Control parameters we look at are:

    no-cache
    only-if-cached
    max-age
    min-fresh
    """

    retval = "STALE"
    cc = _parse_cache_control(request_headers)
    cc_response = _parse_cache_control(response_headers)

    if (
        "pragma" in request_headers
        and request_headers["pragma"].lower().find("no-cache") != -1
    ):
        retval = "TRANSPARENT"
        if "cache-control" not in request_headers:
            request_headers["cache-control"] = "no-cache"
    elif "no-cache" in cc:
        retval = "TRANSPARENT"
    elif "no-cache" in cc_response:
        retval = "STALE"
    elif "only-if-cached" in cc:
        retval = "FRESH"
    elif "date" in response_headers:
        date = calendar.timegm(email.utils.parsedate_tz(response_headers["date"]))
        now = time.time()
        current_age = max(0, now - date)
        if "max-age" in cc_response:
            try:
                freshness_lifetime = int(cc_response["max-age"])
            except ValueError:
                freshness_lifetime = 0
        elif "expires" in response_headers:
            expires = email.utils.parsedate_tz(response_headers["expires"])
            if None == expires:
                freshness_lifetime = 0
            else:
                freshness_lifetime = max(0, calendar.timegm(expires) - date)
        else:
            freshness_lifetime = 0
        if "max-age" in cc:
            try:
                freshness_lifetime = int(cc["max-age"])
            except ValueError:
                freshness_lifetime = 0
        if "min-fresh" in cc:
            try:
                min_fresh = int(cc["min-fresh"])
            except ValueError:
                min_fresh = 0
            current_age += min_fresh
        if freshness_lifetime > current_age:
            retval = "FRESH"
    return retval
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: python3/httplib2/__init__.py.
//This function is called by other functions within the repository:
 python3/httplib2/__init__.py::request
//This function itself calls other functions within the repository:
 python3/httplib2/__init__.py::int
python3/httplib2/__init__.py::max
python3/httplib2/__init__.py::_parse_cache_control

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
         def print_train_stats():
            print(
                "TEMPLATE STATISTICS (TRAIN)  {} templates, {} rules)".format(
                    len(template_counts), len(tids)
                )
            )
            print(
                "TRAIN ({tokencount:7d} tokens) initial {initialerrors:5d} {initialacc:.4f} "
                "final: {finalerrors:5d} {finalacc:.4f} ".format(**train_stats)
            )
            head = "#ID | Score (train) |  #Rules     | Template"
            print(head, "\n", "-" * len(head), sep="")
            train_tplscores = sorted(
                weighted_traincounts.items(), key=det_tplsort, reverse=True
            )
            for (tid, trainscore) in train_tplscores:
                s = "{} | {:5d}   {:5.3f} |{:4d}   {:.3f} | {}".format(
                    tid,
                    trainscore,
                    trainscore / tottrainscores,
                    template_counts[tid],
                    template_counts[tid] / len(tids),
                    Template.ALLTEMPLATES[int(tid)],
                )
                print(s)
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: nltk/tag/brill.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
 def test_log_model(mlflow_client):
    experiment_id = mlflow_client.create_experiment("Log models")
    with TempDir(chdr=True):
        model_paths = [f"model/path/{i}" for i in range(3)]
        mlflow.set_tracking_uri(mlflow_client.tracking_uri)
        with mlflow.start_run(experiment_id=experiment_id) as run:
            for i, m in enumerate(model_paths):
                mlflow.pyfunc.log_model(m, loader_module="mlflow.pyfunc")
                mlflow.pyfunc.save_model(
                    m,
                    mlflow_model=Model(artifact_path=m, run_id=run.info.run_id),
                    loader_module="mlflow.pyfunc",
                )
                model = Model.load(os.path.join(m, "MLmodel"))
                run = mlflow.get_run(run.info.run_id)
                tag = run.data.tags["mlflow.log-model.history"]
                models = json.loads(tag)
                model.utc_time_created = models[i]["utc_time_created"]

                history_model_meta = models[i].copy()
                original_model_uuid = history_model_meta.pop("model_uuid")
                model_meta = model.to_dict().copy()
                new_model_uuid = model_meta.pop("model_uuid")
                assert history_model_meta == model_meta
                assert original_model_uuid != new_model_uuid
                assert len(models) == i + 1
                for j in range(0, i + 1):
                    assert models[j]["artifact_path"] == model_paths[j]
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: tests/tracking/test_rest_tracking.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:
 tests/tracking/test_rest_tracking.py::range
tests/tracking/test_rest_tracking.py::Model
tests/tracking/test_rest_tracking.py::enumerate
tests/tracking/test_rest_tracking.py::TempDir
tests/tracking/test_rest_tracking.py::len

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
 def _rpsl_db_query_to_graphql_out(query: RPSLDatabaseQuery, info: GraphQLResolveInfo):
    """
    Given an RPSL database query, execute it and clean up the output
    to be suitable to return to GraphQL.

    Main changes are:
    - Enum handling
    - Adding the asn and prefix fields if applicable
    - Ensuring the right fields are returned as a list of strings or a string
    """
    database_handler = info.context['request'].app.state.database_handler
    if info.context.get('sql_trace'):
        if 'sql_queries' not in info.context:
            info.context['sql_queries'] = [repr(query)]
        else:
            info.context['sql_queries'].append(repr(query))

    for row in database_handler.execute_query(query, refresh_on_error=True):
        graphql_result = {snake_to_camel_case(k): v for k, v in row.items() if k != 'parsed_data'}
        if 'object_text' in row:
            graphql_result['objectText'] = remove_auth_hashes(row['object_text'])
        if 'rpki_status' in row:
            graphql_result['rpkiStatus'] = row['rpki_status']
        if row.get('ip_first') is not None and row.get('prefix_length'):
            graphql_result['prefix'] = row['ip_first'] + '/' + str(row['prefix_length'])
        if row.get('asn_first') is not None and row.get('asn_first') == row.get('asn_last'):
            graphql_result['asn'] = row['asn_first']

        object_type = resolve_rpsl_object_type(row)
        for key, value in row.get('parsed_data', dict()).items():
            if key == 'auth':
                value = remove_auth_hashes(value)
            graphql_type = schema.graphql_types[object_type][key]
            if graphql_type == 'String' and isinstance(value, list):
                value = '\n'.join(value)
            graphql_result[snake_to_camel_case(key)] = value
        yield graphql_result
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: irrd/server/graphql/resolvers.py.
//This function is called by other functions within the repository:
 irrd/server/graphql/resolvers.py::resolve_rpsl_objects
irrd/server/graphql/resolvers.py::_resolve_subquery
//This function itself calls other functions within the repository:
 irrd/server/graphql/resolvers.py::str
irrd/server/graphql/resolvers.py::snake_to_camel_case
irrd/server/graphql/resolvers.py::isinstance
irrd/server/graphql/resolvers.py::resolve_rpsl_object_type
irrd/server/graphql/resolvers.py::dict
irrd/server/graphql/resolvers.py::remove_auth_hashes
irrd/server/graphql/resolvers.py::repr

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
 def test_slot_policy_single_slot():
    mw = _get_mw()
    meta = {'splash': {
        'slot_policy': scrapy_splash.SlotPolicy.SINGLE_SLOT
    }}

    req1 = scrapy.Request("http://example.com/path?key=value", meta=meta)
    req1 = mw.process_request(req1, None)

    req2 = scrapy.Request("http://fooexample.com/path?key=value", meta=meta)
    req2 = mw.process_request(req2, None)

    assert req1.meta.get('download_slot')
    assert req1.meta['download_slot'] == req2.meta['download_slot']
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: tests/test_middleware.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:
 tests/test_middleware.py::_get_mw

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
     def test_parse_header_bad_content_length(self):
        data = b"GET /foobar HTTP/8.4\r\ncontent-length: abc\r\n"
        self.parser.parse_header(data)
        self.assertEqual(self.parser.body_rcv, None)
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: waitress/tests/test_parser.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
     def test_total_outbufs_len_an_outbuf_size_gt_sys_maxint(self):
        from waitress.compat import MAXINT

        inst, _, map = self._makeOneWithMap()

        class DummyBuffer(object):
            chunks = []

            def append(self, data):
                self.chunks.append(data)

        class DummyData(object):
            def __len__(self):
                return MAXINT

        inst.total_outbufs_len = 1
        inst.outbufs = [DummyBuffer()]
        inst.write_soon(DummyData())
        # we are testing that this method does not raise an OverflowError
        # (see https://github.com/Pylons/waitress/issues/47)
        self.assertEqual(inst.total_outbufs_len, MAXINT + 1)
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: waitress/tests/test_channel.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:
 waitress/tests/test_channel.py::DummyData
waitress/tests/test_channel.py::DummyBuffer

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
 def login(request):
    form = forms.PasswordLoginForm()
    magic_form = forms.EmailLoginForm()

    if request.method == "POST":
        if request.POST.get("action") == "login":
            form = forms.PasswordLoginForm(request.POST)
            if form.is_valid():
                return _check_2fa(request, form.user)

        else:
            magic_form = forms.EmailLoginForm(request.POST)
            if magic_form.is_valid():
                redirect_url = request.GET.get("next")
                if not _allow_redirect(redirect_url):
                    redirect_url = None

                profile = Profile.objects.for_user(magic_form.user)
                profile.send_instant_login_link(redirect_url=redirect_url)
                response = redirect("hc-login-link-sent")

                # check_token looks for this cookie to decide if
                # it needs to do the extra POST step.
                response.set_cookie("auto-login", "1", max_age=300, httponly=True)
                return response

    if request.user.is_authenticated:
        return _redirect_after_login(request)

    bad_link = request.session.pop("bad_link", None)
    ctx = {
        "page": "login",
        "form": form,
        "magic_form": magic_form,
        "bad_link": bad_link,
        "registration_open": settings.REGISTRATION_OPEN,
        "support_email": settings.SUPPORT_EMAIL,
    }
    return render(request, "accounts/login.html", ctx)
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: hc/accounts/views.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
     def expect_outgoing_key_request(
        self, server_name: str, signing_key: SigningKey
    ) -> None:
        """
        Tell the mock http client to expect an outgoing GET request for the given key
        """

        async def get_json(destination, path, ignore_backoff=False, **kwargs):
            self.assertTrue(ignore_backoff)
            self.assertEqual(destination, server_name)
            key_id = "%s:%s" % (signing_key.alg, signing_key.version)
            self.assertEqual(
                path, "/_matrix/key/v2/server/%s" % (urllib.parse.quote(key_id),)
            )

            response = {
                "server_name": server_name,
                "old_verify_keys": {},
                "valid_until_ts": 200 * 1000,
                "verify_keys": {
                    key_id: {
                        "key": signedjson.key.encode_verify_key_base64(
                            signing_key.verify_key
                        )
                    }
                },
            }
            sign_json(response, server_name, signing_key)
            return response

        self.http_client.get_json.side_effect = get_json
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: tests/rest/key/v2/test_remote_key_resource.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:
 tests/rest/key/v2/test_remote_key_resource.py::sign_json

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
     def lookup_internal_function(self, method_name, args_ir, ast_source):
        # TODO is this the right module for me?
        """
        Using a list of args, find the internal method to use, and
        the kwargs which need to be filled in by the compiler
        """

        sig = self.sigs["self"].get(method_name, None)

        def _check(cond, s="Unreachable"):
            if not cond:
                raise CompilerPanic(s)

        # these should have been caught during type checking; sanity check
        _check(sig is not None)
        _check(sig.internal)
        _check(len(sig.base_args) <= len(args_ir) <= len(sig.args))
        # more sanity check, that the types match
        # _check(all(l.typ == r.typ for (l, r) in zip(args_ir, sig.args))

        num_provided_kwargs = len(args_ir) - len(sig.base_args)
        num_kwargs = len(sig.default_args)
        kwargs_needed = num_kwargs - num_provided_kwargs

        kw_vals = list(sig.default_values.values())[:kwargs_needed]

        return sig, kw_vals
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: vyper/codegen/context.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:
 vyper/codegen/context.py::len
vyper/codegen/context.py::list
vyper/codegen/context.py::_check

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
     def _check_auth(self, must_admin, redir_login=True):
        """ check if a user is autheticated and, optionnaly an administrator
        if user not authentifaced -> redirection to login page (with base64
            of the originaly requested page (redirection after login)
        if user authenticated, not admin and must_admin enabled -> 403 error
        @boolean must_admin: flag "user must be an administrator to access
            this page"
        @rtype str: login of the user
        """
        if self.auth_mode == 'none':
            return 'anonymous'
        username = self._check_session()

        if cherrypy.request.query_string == '':
            qs = ''
        else:
            qs = '?' + cherrypy.request.query_string
        # base64 of the requested URL
        b64requrl = base64.b64encode(cherrypy.url() + qs)
        if not username:
            # return to login page (with base64 of the url in query string
            if redir_login:
                raise cherrypy.HTTPRedirect(
                    "/signin?url=%(url)s" % {'url': b64requrl},
                    )
            else:
                raise cherrypy.HTTPError(
                    "403 Forbidden",
                    "You must be logged in to access this ressource.",
                    )

        if 'connected' not in cherrypy.session \
                or not cherrypy.session['connected']:
            if redir_login:
                raise cherrypy.HTTPRedirect(
                    "/signin?url=%(url)s" % {'url': b64requrl},
                    )
            else:
                raise cherrypy.HTTPError(
                    "403 Forbidden",
                    "You must be logged in to access this ressource.",
                    )

        if cherrypy.session['connected'] and \
                not cherrypy.session['isadmin']:
            if must_admin:
                # user is not an administrator, so he gets 403 Forbidden
                raise cherrypy.HTTPError(
                    "403 Forbidden",
                    "You are not allowed to access this resource.",
                    )
            else:
                return username

        if cherrypy.session['connected'] and \
                cherrypy.session['isadmin']:
            return username
        else:
            if redir_login:
                raise cherrypy.HTTPRedirect(
                    "/signin?url=%(url)s" % {'url': b64requrl},
                    )
            else:
                raise cherrypy.HTTPError(
                    "403 Forbidden",
                    "You must be logged in to access this ressource.",
                    )
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: ldapcherry/__init__.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
     def _execute(cmd, verbose=False):
        output = None if verbose else subprocess.PIPE
        p = subprocess.Popen(cmd, stdout=output, stderr=output)
        return p.wait()
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: nltk/parse/malt.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
 function verify_remove_resources(resource_id) {
  verify_remove(
    remove_resource, true, "resource_list", "dialog_verify_remove_resources",
    "resource", "Remove resource(s)", "Resurce Removal", resource_id
  );
}
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: pcsd/public/js/pcsd.js.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
 def has_length_word(typ):
    # Consider moving this to an attribute on typ
    return isinstance(typ, (DArrayT, _BytestringT))
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: vyper/codegen/core.py.
//This function is called by other functions within the repository:
 vyper/codegen/core.py::_getelemptr_abi_helper
vyper/codegen/core.py::_get_element_ptr_array
//This function itself calls other functions within the repository:
 vyper/codegen/core.py::isinstance

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
 def is_local_uri(uri, is_tracking_or_registry_uri=True):
    """
    Returns true if the specified URI is a local file path (/foo or file:/foo).

    :param uri: The URI.
    :param is_tracking_uri: Whether or not the specified URI is an MLflow Tracking or MLflow
                            Model Registry URI. Examples of other URIs are MLflow artifact URIs,
                            filesystem paths, etc.
    """
    if uri == "databricks" and is_tracking_or_registry_uri:
        return False

    if is_windows() and uri.startswith("\\\\"):
        # windows network drive path looks like: "\\<server name>\path\..."
        return False

    parsed_uri = urllib.parse.urlparse(uri)
    if parsed_uri.hostname and not (
        parsed_uri.hostname == "."
        or parsed_uri.hostname.startswith("localhost")
        or parsed_uri.hostname.startswith("127.0.0.1")
    ):
        return False

    scheme = parsed_uri.scheme
    if scheme == "" or scheme == "file":
        return True

    if is_windows() and len(scheme) == 1 and scheme.lower() == pathlib.Path(uri).drive.lower()[0]:
        return True

    return False
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: mlflow/utils/uri.py.
//This function is called by other functions within the repository:
 mlflow/utils/uri.py::resolve_uri_if_local
//This function itself calls other functions within the repository:
 mlflow/utils/uri.py::len
mlflow/utils/uri.py::is_windows

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
 def test_adjust_timeout():
    mw = _get_mw()
    req1 = scrapy.Request("http://example.com", meta = {
        'splash': {'args': {'timeout': 60, 'html': 1}},

        # download_timeout is always present,
        # it is set by DownloadTimeoutMiddleware
        'download_timeout': 30,
    })
    req1 = mw.process_request(req1, None)
    assert req1.meta['download_timeout'] > 60

    req2 = scrapy.Request("http://example.com", meta = {
        'splash': {'args': {'html': 1}},
        'download_timeout': 30,
    })
    req2 = mw.process_request(req2, None)
    assert req2.meta['download_timeout'] == 30
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: tests/test_middleware.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:
 tests/test_middleware.py::_get_mw

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
     def set_api_version(self, api_version):
        """Set or unset a specific API version for requests in this test case."""
        if api_version is None:
            self.header["HTTP_ACCEPT"] = "application/json"
        else:
            self.header["HTTP_ACCEPT"] = f"application/json; version={api_version}"
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: nautobot/core/testing/api.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
 def test_validate_path_is_safe_good(path):
    validate_path_is_safe(path)
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: tests/tracking/test_rest_tracking.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:
 tests/tracking/test_rest_tracking.py::validate_path_is_safe

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
     def test_register_connector_template_disallow_custom_connector_functions(
        self,
        api_client: TestClient,
        register_connector_template_url,
        generate_auth_header,
        zip_file,
        status_code,
        details,
        request,
    ):
        CONFIG.security.allow_custom_connector_functions = False
        auth_header = generate_auth_header(scopes=[CONNECTOR_TEMPLATE_REGISTER])
        response = api_client.post(
            register_connector_template_url,
            headers=auth_header,
            files={
                "file": (
                    "template.zip",
                    request.getfixturevalue(zip_file).read(),
                    "application/zip",
                )
            },
        )
        assert response.status_code == status_code
        assert response.json() == details
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: tests/ops/api/v1/endpoints/test_saas_config_endpoints.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:
 tests/ops/api/v1/endpoints/test_saas_config_endpoints.py::generate_auth_header

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
 def shrink_stream_by_size( value, size, join_by="..", left_larger=True, beginning_on_size_error=False, end_on_size_error=False ):
    rval = ''
    if get_file_size( value ) > size:
        start = value.tell()
        len_join_by = len( join_by )
        min_size = len_join_by + 2
        if size < min_size:
            if beginning_on_size_error:
                rval = value.read( size )
                value.seek( start )
                return rval
            elif end_on_size_error:
                value.seek( -size, 2 )
                rval = value.read( size )
                value.seek( start )
                return rval
            raise ValueError( 'With the provided join_by value (%s), the minimum size value is %i.' % ( join_by, min_size ) )
        left_index = right_index = int( ( size - len_join_by ) / 2 )
        if left_index + right_index + len_join_by < size:
            if left_larger:
                left_index += 1
            else:
                right_index += 1
        rval = value.read( left_index ) + join_by
        value.seek( -right_index, 2 )
        rval += value.read( right_index )
    else:
        while True:
            data = value.read( CHUNK_SIZE )
            if not data:
                break
            rval += data
    return rval
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: lib/galaxy/util/__init__.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
 def scholar_search(query):
    if have_scholar:
        scholar_gen = scholarly.search_pubs(' '.join(query.split('+')))
        i=0
        result = []
        for publication in scholar_gen:
            del publication['source']
            result.append(publication)
            i+=1
            if(i>=10):
                break
        return Response(json.dumps(result),mimetype='application/json')
    else:
        return "[]"
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: cps/editbooks.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:
 cps/editbooks.py::Response

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
 def _dynarray_make_setter(dst, src):
    assert isinstance(src.typ, DArrayT)
    assert isinstance(dst.typ, DArrayT)

    if src.value == "~empty":
        return IRnode.from_list(STORE(dst, 0))

    if src.value == "multi":
        ret = ["seq"]
        # handle literals

        # write the length word
        store_length = STORE(dst, len(src.args))
        ann = None
        if src.annotation is not None:
            ann = f"len({src.annotation})"
        store_length = IRnode.from_list(store_length, annotation=ann)
        ret.append(store_length)

        n_items = len(src.args)
        for i in range(n_items):
            k = IRnode.from_list(i, typ=UINT256_T)
            dst_i = get_element_ptr(dst, k, array_bounds_check=False)
            src_i = get_element_ptr(src, k, array_bounds_check=False)
            ret.append(make_setter(dst_i, src_i))

        return ret

    with src.cache_when_complex("darray_src") as (b1, src):
        # for ABI-encoded dynamic data, we must loop to unpack, since
        # the layout does not match our memory layout
        should_loop = src.encoding == Encoding.ABI and src.typ.value_type.abi_type.is_dynamic()

        # if the data is not validated, we must loop to unpack
        should_loop |= needs_clamp(src.typ.value_type, src.encoding)

        # performance: if the subtype is dynamic, there might be a lot
        # of unused space inside of each element. for instance
        # DynArray[DynArray[uint256, 100], 5] where all the child
        # arrays are empty - for this case, we recursively call
        # into make_setter instead of straight bytes copy
        # TODO we can make this heuristic more precise, e.g.
        # loop when subtype.is_dynamic AND location == storage
        # OR array_size <= /bound where loop is cheaper than memcpy/
        should_loop |= src.typ.value_type.abi_type.is_dynamic()

        with get_dyn_array_count(src).cache_when_complex("darray_count") as (b2, count):
            ret = ["seq"]

            ret.append(STORE(dst, count))

            if should_loop:
                i = IRnode.from_list(_freshname("copy_darray_ix"), typ=UINT256_T)

                loop_body = make_setter(
                    get_element_ptr(dst, i, array_bounds_check=False),
                    get_element_ptr(src, i, array_bounds_check=False),
                )
                loop_body.annotation = f"{dst}[i] = {src}[i]"

                ret.append(["repeat", i, 0, count, src.typ.count, loop_body])

            else:
                element_size = src.typ.value_type.memory_bytes_required
                # number of elements * size of element in bytes
                n_bytes = _mul(count, element_size)
                max_bytes = src.typ.count * element_size

                src_ = dynarray_data_ptr(src)
                dst_ = dynarray_data_ptr(dst)
                ret.append(copy_bytes(dst_, src_, n_bytes, max_bytes))

            return b1.resolve(b2.resolve(ret))
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: vyper/codegen/core.py.
//This function is called by other functions within the repository:
 vyper/codegen/core.py::make_setter
//This function itself calls other functions within the repository:
 vyper/codegen/core.py::dynarray_data_ptr
vyper/codegen/core.py::_mul
vyper/codegen/core.py::len
vyper/codegen/core.py::get_dyn_array_count
vyper/codegen/core.py::needs_clamp
vyper/codegen/core.py::range
vyper/codegen/core.py::STORE
vyper/codegen/core.py::copy_bytes
vyper/codegen/core.py::make_setter
vyper/codegen/core.py::isinstance
vyper/codegen/core.py::_freshname
vyper/codegen/core.py::get_element_ptr

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
     def test_datasource_init_gets_ds_cfg_using_dsname(self):
        """Init uses DataSource.dsname for sourcing ds_cfg."""
        sys_cfg = {"datasource": {"MyTestSubclass": {"key2": False}}}
        distro = "distrotest"  # generally should be a Distro object
        datasource = DataSourceTestSubclassNet(sys_cfg, distro, self.paths)
        self.assertEqual({"key2": False}, datasource.ds_cfg)
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: tests/unittests/sources/test_init.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:
 tests/unittests/sources/test_init.py::DataSourceTestSubclassNet

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
 def _get_registered_content(obj, method, template_context, return_html=True):
    """
    Given an object and a TemplateExtension method name and the template context, return all the
    registered content for the object's model.
    """
    context = {
        "object": obj,
        "request": template_context["request"],
        "settings": template_context["settings"],
        "csrf_token": template_context["csrf_token"],
        "perms": template_context["perms"],
    }

    model_name = obj._meta.label_lower
    template_extensions = registry["plugin_template_extensions"].get(model_name, [])
    objects = []
    html = ""
    for template_extension in template_extensions:
        # If the class has not overridden the specified method, we can skip it (because we know it
        # will raise NotImplementedError).
        if getattr(template_extension, method) == getattr(TemplateExtension, method):
            continue

        # Update context with plugin-specific configuration parameters
        plugin_name = template_extension.__module__.split(".")[0]
        context["config"] = settings.PLUGINS_CONFIG.get(plugin_name, {})

        # Call the method to render content
        instance = template_extension(context)
        content = getattr(instance, method)()
        if not return_html:
            for i, content in enumerate(content):
                objects.append({f"{plugin_name}:{i+1}": content})
        else:
            html += content

    if not return_html:
        return objects

    return mark_safe(html)
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: nautobot/extras/templatetags/plugins.py.
//This function is called by other functions within the repository:
 nautobot/extras/templatetags/plugins.py::plugin_buttons
nautobot/extras/templatetags/plugins.py::plugin_left_page
nautobot/extras/templatetags/plugins.py::plugin_right_page
nautobot/extras/templatetags/plugins.py::plugin_full_width_page
nautobot/extras/templatetags/plugins.py::plugin_object_detail_tabs
//This function itself calls other functions within the repository:
 nautobot/extras/templatetags/plugins.py::enumerate
nautobot/extras/templatetags/plugins.py::getattr
nautobot/extras/templatetags/plugins.py::mark_safe
nautobot/extras/templatetags/plugins.py::template_extension

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
     def get(self, request, format=None, **kwargs):
        network_blocks = request.GET.get("network_blocks")
        network_tags = request.GET.get("network_tags")
        by_router = request.GET.get("by_router")
        exclude_free = request.GET.get("exclude_free")

        if network_blocks:
            show_blocks = "&".join(
                ["show_blocks=%s" % n for n in network_blocks.split(",")]
            )
            url = "https://gul.usu.edu/subnetparser.py?format=json&%s" % show_blocks
            lease_data = requests.get(
                url, auth=("django-openipam", "ZEraWDJ1aSLsYmzvqhUT2ZL4z2xpA9Yt")
            )
        elif network_tags:
            network_tags = network_tags.split(",")
            networks = Network.objects.filter(dhcp_group__name__in=network_tags)
            show_blocks = "&".join(
                ["show_blocks=%s" % str(n.network) for n in networks]
            )
            url = "https://gul.usu.edu/subnetparser.py?format=json&%s" % show_blocks
            lease_data = requests.get(
                url, auth=("django-openipam", "ZEraWDJ1aSLsYmzvqhUT2ZL4z2xpA9Yt")
            )
        else:
            lease_data = requests.get(
                "https://gul.usu.edu/subnetparser.py?format=json",
                auth=("django-openipam", "ZEraWDJ1aSLsYmzvqhUT2ZL4z2xpA9Yt"),
            )

        try:
            lease_data = lease_data.json()
        except ValueError:
            return HttpResponse(
                "Error parsing JSON from GUL",
                status=status.HTTP_500_INTERNAL_SERVER_ERROR,
            )

        for ld in lease_data:
            if ld["router"] is None:
                ld["router"] = ""
        lease_data = sorted(
            lease_data, key=lambda k: (k["router"], IPNetwork(k["network"]))
        )

        def get_ratio(available, total):
            ratio = 1
            if total != 0:
                ratio = available * 1.0 / total
            else:
                ratio = None
            return ratio

        def color(ratio):
            # Convert a number in the range [0,1] to an HTML color code
            if ratio is None:
                return "#77f"
            if ratio < 0:
                ratio = 0
            if ratio > 1:
                ratio = 1

            r = ratio * 2.0 - 1
            g = ratio * 2.0

            if r < 0.0:
                r = 0.0
            if g > 1.0:
                g = 1.0

            rgb = (int((1 - r) * 255), int(g * 255), 0)
            color = "#%02x%02x%02x" % rgb
            return color

        if not by_router:
            for item in lease_data:
                network = IPNetwork(item["network"])
                child = item

                if "usage" in item:
                    child["ratio"] = get_ratio(
                        item["usage"]["available"], item["usage"]["dynamic"]
                    )
                    child["utilized"] = (
                        int((1 - child["ratio"]) * 100)
                        if child["ratio"] is not None
                        else 0
                    )
                else:
                    child["ratio"] = 1
                    child["utilized"] = 0

                if "ratio" in item:
                    child["style"] = color(child["ratio"])
                else:
                    child["style"] = "#77f"

                child["size"] = network.size
                if network.prefixlen >= 28:
                    child["size_width"] = 50
                else:
                    child["size_width"] = (32 - 4 - network.prefixlen) ** 1.5 * 20 + 50

            lease_data = sorted(
                lease_data,
                key=lambda x: float(x["ratio"]) if x["ratio"] is not None else 1.1,
            )

            if request.accepted_renderer.format == "html":
                context = {"lease_data": lease_data, "excluded_keys": ["style"]}
                return Response(context, template_name="api/web/lease_usage.html")
            else:
                return Response(
                    lease_data,
                    status=status.HTTP_200_OK,
                    template_name="api/web/lease_usage.html",
                )

        grouped_lease_data = {"name": "routers", "children": [], "style": "#000033"}

        for key, group in itertools.groupby(lease_data, lambda item: item["router"]):

            if exclude_free and key is None:
                continue

            router = {
                "name": key.replace(".gw.usu.edu", "") if key is not None else "FREE",
                "children": [],
            }

            for item in group:
                network = IPNetwork(item["network"])
                child = item

                if "usage" in item:
                    child["ratio"] = get_ratio(
                        item["usage"]["available"], item["usage"]["dynamic"]
                    )
                else:
                    child["ratio"] = 1

                # if key is not None:
                if "ratio" in item:
                    child["style"] = color(child["ratio"])
                else:
                    child["style"] = "#77f"

                child["name"] = item["network"]
                child["desc"] = item["portdesc"]
                child["size"] = network.size
                child["value"] = network.size if network.size > 256 else 256
                del child["router"]

                router["children"].append(child)

            grouped_lease_data["children"].append(router)

        return Response(
            grouped_lease_data,
            status=status.HTTP_200_OK,
            template_name="api/web/lease_usage.html",
        )
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: openipam/api/views/report.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:
 openipam/api/views/report.py::F
openipam/api/views/report.py::str
openipam/api/views/report.py::Response

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
     def from_cryptography(cls, crypto_req):
        """
        Construct based on a ``cryptography`` *crypto_req*.

        :param crypto_req: A ``cryptography`` X.509 certificate signing request
        :type crypto_req: ``cryptography.x509.CertificateSigningRequest``

        :rtype: PKey

        .. versionadded:: 17.1.0
        """
        if not isinstance(crypto_req, x509.CertificateSigningRequest):
            raise TypeError("Must be a certificate signing request")

        req = cls()
        req._req = crypto_req._x509_req
        return req
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: src/OpenSSL/crypto.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:
 src/OpenSSL/crypto.py::isinstance
src/OpenSSL/crypto.py::TypeError
src/OpenSSL/crypto.py::cls

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
     def _validate_signature_algorithms(self):
        if self.cert.signature_algorithm_oid._name not in self.signature_algorithms:
            return self.cert.signature_algorithm_oid._name
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: plugins/modules/x509_certificate.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
 def get_counts(request, project=None, component=None):
    """View for work counts."""
    if project is None:
        obj = None
        kwargs = {}
    elif component is None:
        obj = get_project(request, project)
        kwargs = {"project": obj}
    else:
        obj = get_component(request, project, component)
        kwargs = {"component": obj}

    form = ReportsForm(request.POST)

    if not form.is_valid():
        show_form_errors(request, form)
        return redirect_param(obj or "home", "#reports")

    data = generate_counts(
        None if request.user.has_perm("reports.view", obj) else request.user,
        form.cleaned_data["start_date"],
        form.cleaned_data["end_date"],
        **kwargs,
    )

    if form.cleaned_data["style"] == "json":
        return JsonResponse(data=data, safe=False)

    headers = (
        "Name",
        "Email",
        "Count total",
        "Edits total",
        "Source words total",
        "Source chars total",
        "Target words total",
        "Target chars total",
        "Count new",
        "Edits new",
        "Source words new",
        "Source chars new",
        "Target words new",
        "Target chars new",
        "Count approved",
        "Edits approved",
        "Source words approved",
        "Source chars approved",
        "Target words approved",
        "Target chars approved",
        "Count edited",
        "Edits edited",
        "Source words edited",
        "Source chars edited",
        "Target words edited",
        "Target chars edited",
    )

    if form.cleaned_data["style"] == "html":
        start = HTML_HEADING.format("".join(f"{h}	" for h in headers))
        row_start = "
"
        cell_name = cell_count = "{0}	\n"
        row_end = "
"
        mime = "text/html"
        end = "
"
    else:
        start = "{0}\n{1} {2}\n{0}".format(
            RST_HEADING,
            " ".join(f"{h:40}" for h in headers[:2]),
            " ".join(f"{h:24}" for h in headers[2:]),
        )
        row_start = ""
        cell_name = "{0:40} "
        cell_count = "{0:24} "
        row_end = ""
        mime = "text/plain"
        end = RST_HEADING

    result = [start]

    for item in data:
        if row_start:
            result.append(row_start)
        result.append(
            "".join(
                (
                    cell_name.format(item["name"] or "Anonymous"),
                    cell_name.format(item["email"] or ""),
                    cell_count.format(item["count"]),
                    cell_count.format(item["edits"]),
                    cell_count.format(item["words"]),
                    cell_count.format(item["chars"]),
                    cell_count.format(item["t_words"]),
                    cell_count.format(item["t_chars"]),
                    cell_count.format(item["count_new"]),
                    cell_count.format(item["edits_new"]),
                    cell_count.format(item["words_new"]),
                    cell_count.format(item["chars_new"]),
                    cell_count.format(item["t_words_new"]),
                    cell_count.format(item["t_chars_new"]),
                    cell_count.format(item["count_approve"]),
                    cell_count.format(item["edits_approve"]),
                    cell_count.format(item["words_approve"]),
                    cell_count.format(item["chars_approve"]),
                    cell_count.format(item["t_words_approve"]),
                    cell_count.format(item["t_chars_approve"]),
                    cell_count.format(item["count_edit"]),
                    cell_count.format(item["edits_edit"]),
                    cell_count.format(item["words_edit"]),
                    cell_count.format(item["chars_edit"]),
                    cell_count.format(item["t_words_edit"]),
                    cell_count.format(item["t_chars_edit"]),
                )
            )
        )
        if row_end:
            result.append(row_end)

    result.append(end)

    return HttpResponse("\n".join(result), content_type=f"{mime}; charset=utf-8")
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: weblate/trans/views/reports.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:
 weblate/trans/views/reports.py::HttpResponse
weblate/trans/views/reports.py::ReportsForm
weblate/trans/views/reports.py::show_form_errors
weblate/trans/views/reports.py::redirect_param
weblate/trans/views/reports.py::get_component
weblate/trans/views/reports.py::get_project
weblate/trans/views/reports.py::generate_counts
weblate/trans/views/reports.py::JsonResponse

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
     def test_check_needed_repos_availability_no_repo_available(self):
        subscription.check_needed_repos_availability(["rhel"])
        self.assertTrue("rhel repository is not available" in logging.Logger.warning.msg)
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: convert2rhel/unit_tests/subscription_test.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:
 convert2rhel/unit_tests/subscription_test.py::LogMocked
convert2rhel/unit_tests/subscription_test.py::PromptUserMocked

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
 static PyObject *__pyx_pf_17clickhouse_driver_14bufferedreader_14BufferedReader_6buffer___get__(struct __pyx_obj_17clickhouse_driver_14bufferedreader_BufferedReader *__pyx_v_self) {
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  return __pyx_r;
}
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: clickhouse_driver/bufferedreader.c.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
     def connector_template_duplicate_datasets(
        self,
        planet_express_config,
        planet_express_dataset,
        planet_express_functions,
        planet_express_icon,
    ):
        return create_zip_file(
            {
                "config.yml": planet_express_config,
                "1_dataset.yml": planet_express_dataset,
                "2_dataset.yml": planet_express_dataset,
                "functions.py": planet_express_functions,
                "icon.svg": planet_express_icon,
            }
        )
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: tests/ops/api/v1/endpoints/test_saas_config_endpoints.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:
 tests/ops/api/v1/endpoints/test_saas_config_endpoints.py::create_zip_file

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
     def getFirstName(self):
        """
        Returns the first name of the current user

        @return:    First Name
        @rtype:     String
        """

        return self._blitzcon.getUser().firstName or self.getName()
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: omeroweb/webgateway/views.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
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// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: clickhouse_driver/bufferedreader.c.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
     def test_attachment_url_without_upload(self) -> None:
        hamlet = self.example_user("hamlet")
        self.login_user(hamlet)
        with self.assertLogs(level="WARNING") as warn_log:
            body = f"Test message ...[zulip.txt](http://{hamlet.realm.host}/user_uploads/{hamlet.realm_id}/64/fake_path_id.txt)"
            message_id = self.send_stream_message(
                self.example_user("hamlet"), "Denmark", body, "test"
            )
        self.assertFalse(
            Attachment.objects.filter(path_id=f"{hamlet.realm_id}/64/fake_path_id.txt").exists()
        )

        self.assertEqual(
            warn_log.output,
            [
                f"WARNING:root:User {hamlet.id} tried to share upload {hamlet.realm_id}/64/fake_path_id.txt in message {message_id}, but lacks permission"
            ],
        )
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: zerver/tests/test_upload.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
     def test_mixed(self):
        self.assertEqual(self._callFUT(b"\n\n00\r\n\r\n"), 2)
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: waitress/tests/test_utilities.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
 def temppath():
    path = tempfile.mktemp()
    try:
        yield path
    finally:
        if os.path.exists(path):
            if os.path.isfile(path):
                os.remove(path)
            else:
                shutil.rmtree(path)
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: test/utils/common.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
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// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: clickhouse_driver/bufferedwriter.c.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:

//Detection
 Only reply with 'Yes' or 'No', the Answer is:


If the following code snippet has any vulnerabilities, output 'Yes'; otherwise, output 'No'.
//The function being analyzed is:
 //Code Start
     def get(self, request, *args, **kwargs):
        """
        Generic GET handler for accessing an object.
        """
        instance = get_object_or_404(self.queryset, **kwargs)

        # TODO: this feels inelegant - should the tabs lookup be a dedicated endpoint rather than piggybacking
        # on the object-retrieve endpoint?
        # TODO: similar functionality probably needed in NautobotUIViewSet as well, not currently present
        if request.GET.get("viewconfig", None) == "true":
            # TODO: we shouldn't be importing a private-named function from another module. Should it be renamed?
            from nautobot.extras.templatetags.plugins import _get_registered_content

            temp_fake_context = {
                "object": instance,
                "request": request,
                "settings": {},
                "csrf_token": "",
                "perms": {},
            }

            plugin_tabs = _get_registered_content(instance, "detail_tabs", temp_fake_context, return_html=False)
            resp = {"tabs": plugin_tabs}
            return JsonResponse(resp)
        else:
            return render(
                request,
                self.get_template_name(),
                {
                    "object": instance,
                    "verbose_name": self.queryset.model._meta.verbose_name,
                    "verbose_name_plural": self.queryset.model._meta.verbose_name_plural,
                    **self.get_extra_context(request, instance),
                },
            )
// Code End

//To assist with your evaluation, here is some contextual information. Use the contextual information (if any) to support your evaluation of vulnerability detection.
//The function is located in the file: nautobot/core/views/generic.py.
//This function is called by other functions within the repository:

//This function itself calls other functions within the repository:
 nautobot/core/views/generic.py::render

//Detection
 Only reply with 'Yes' or 'No', the Answer is: