import importlib
from types import ModuleType

import pytest
from fastapi.testclient import TestClient
from inline_snapshot import snapshot

from ...utils import needs_py310


@pytest.fixture(
    name="mod",
    params=[
        pytest.param("tutorial005_py39"),
        pytest.param("tutorial005_py310", marks=needs_py310),
        pytest.param("tutorial005_an_py39"),
        pytest.param("tutorial005_an_py310", marks=needs_py310),

[Prometheus](https://prometheus.io) is a cloud-native monitoring platform. Prometheus offers a multi-dimensional data model with time series data identified by metric name and key/value pairs. The data collection happens via a pull model over HTTP/HTTPS. Users looking to monitor their MinIO instances can point Prometheus configuration to scrape data from following endpoints. 

    DcerpcHandle handle;

    /**
     * Creates a new SAM policy handle.
     *
     * @param handle the DCE/RPC handle for communication
     * @param server the server name (null defaults to local server)
     * @param access the desired access rights
     * @throws IOException if an I/O error occurs during handle creation
     */

import jcifs.internal.util.SMBUtil;

/**
 * SMB2 Lease V1 Create Context Response
 *
 * MS-SMB2 2.2.14.2.10
 */
public class LeaseV1CreateContextResponse implements CreateContextResponse {

    /**
     * Context name for lease response
     */
    public static final String CONTEXT_NAME = "RqLs";

    private static final byte[] CONTEXT_NAME_BYTES = CONTEXT_NAME.getBytes();

    private Smb2LeaseKey leaseKey;

    private static final String DESCR = "WrLeh\u0000B13BWz\u0000";

    NetShareEnum() {
        command = SMB_COM_TRANSACTION;
        subCommand = NET_SHARE_ENUM; // not really true be used by upper logic
        name = "\\PIPE\\LANMAN";
        maxParameterCount = 8;

        //        maxDataCount = 4096; why was this set?
        maxSetupCount = (byte) 0x00;
        setupCount = 0;
        timeout = 5000;
    }

name: Bug Report
description: Something is not working as expected
labels: ["type=defect"]
body:
  - type: markdown
    attributes:
      value: >
        Thank you for filing a bug report. Please help us identify and resolve the bug by filling
        out the following fields. Before we begin, please make sure that the bug is still present in
        the [latest](https://github.com/google/guava/releases/latest) version of Guava available.

                        "operationId": "save_union_body_discriminator_items__post",
                        "parameters": [
                            {
                                "name": "q",
                                "in": "query",
                                "required": True,
                                "schema": {
                                    "type": "string",

---
name: TensorFlow Lite Converter Issue
about: Use this template for reporting issues during model conversion to TFLite
labels: 'TFLiteConverter'

---

### 1. System information

- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installation (pip package or built from source):
- TensorFlow library (version, if pip package or github SHA, if built from source):

### 2. Code

	httpRequestsDuration = prometheus.NewHistogramVec(
		prometheus.HistogramOpts{
			Name:    "s3_ttfb_seconds",
			Help:    "Time taken by requests served by current MinIO server instance",
			Buckets: []float64{.05, .1, .25, .5, 1, 2.5, 5, 10},
		},
		[]string{"api"},
	)
	bucketHTTPRequestsDuration = prometheus.NewHistogramVec(
		prometheus.HistogramOpts{
			Name:    "s3_ttfb_seconds",

		statusCode: 400,
		cause:      err,
	}
}

func errAmbiguousFieldName(err error) *s3Error {
	return &s3Error{
		code:       "AmbiguousFieldName",
		message:    "Field name matches to multiple fields in the file. Check the SQL expression and the file, and try again.",
		statusCode: 400,
		cause:      err,
	}
}

func errIntegerOverflow(err error) *s3Error {
	return &s3Error{