{
  "version": 3,
  "sources": ["../../../../../../../caches/app/areas/platforms/identity/node_modules/.pnpm/@shopify+opentelemetry-mini-client-private@2.1.1/node_modules/@shopify/opentelemetry-mini-client-private/build/esm/_virtual/_rollupPluginBabelHelpers.mjs", "../../../../../../../caches/app/areas/platforms/identity/node_modules/.pnpm/@shopify+opentelemetry-mini-client-private@2.1.1/node_modules/@shopify/opentelemetry-mini-client-private/build/esm/util.mjs", "../../../../../../../caches/app/areas/platforms/identity/node_modules/.pnpm/@shopify+opentelemetry-mini-client-private@2.1.1/node_modules/@shopify/opentelemetry-mini-client-private/build/esm/client.mjs", "../../../../../../../caches/app/areas/platforms/identity/node_modules/.pnpm/@shopify+opentelemetry-mini-client-private@2.1.1/node_modules/@shopify/opentelemetry-mini-client-private/build/esm/exporter.mjs", "../../../../../../../caches/app/areas/platforms/identity/node_modules/.pnpm/@shopify+human-signals@2.3.0_@shopify+monorail@2.12.0-40099_@shopify+opentelemetry-mini-client-private@2.1.1/node_modules/@shopify/human-signals/dist/human-signal-payload.js", "../../../../../../../caches/app/areas/platforms/identity/node_modules/.pnpm/@shopify+human-signals@2.3.0_@shopify+monorail@2.12.0-40099_@shopify+opentelemetry-mini-client-private@2.1.1/node_modules/@shopify/human-signals/dist/logger.js", "../../../../../../../caches/app/areas/platforms/identity/node_modules/.pnpm/@shopify+human-signals@2.3.0_@shopify+monorail@2.12.0-40099_@shopify+opentelemetry-mini-client-private@2.1.1/node_modules/@shopify/human-signals/dist/human-signal.js", "../../javascript/modules/human-signals.ts", "../../javascript/packs/human_signals.ts"],
  "sourcesContent": ["function _classPrivateFieldLooseBase(e, t) {\n  if (!{}.hasOwnProperty.call(e, t)) throw new TypeError(\"attempted to use private field on non-instance\");\n  return e;\n}\nvar id = 0;\nfunction _classPrivateFieldLooseKey(e) {\n  return \"__private_\" + id++ + \"_\" + e;\n}\n\nexport { _classPrivateFieldLooseBase as classPrivateFieldLooseBase, _classPrivateFieldLooseKey as classPrivateFieldLooseKey };\n", "function asStringAttributes(object) {\n  return Object.entries(object).map(([key, value]) => ({\n    key,\n    value: {\n      stringValue: String(value)\n    }\n  }));\n}\nfunction asTypedAttributes(object) {\n  return Object.entries(object).map(([key, value]) => ({\n    key,\n    value: asTypedValue(value)\n  }));\n}\nfunction asTypedValue(value) {\n  if (Array.isArray(value)) {\n    return {\n      arrayValue: {\n        values: value.map(val => asTypedValue(val))\n      }\n    };\n  }\n  switch (typeof value) {\n    case 'boolean':\n      return {\n        boolValue: Boolean(value)\n      };\n    // Javascript unfortunately has only the `number` type (ignoring\n    // BigInt, which I don't think we support on the backend yet).\n    // The `number` type is actually a float; and while we can test\n    // for whether or not the `number` is actually representing an\n    // \"integer\", the MDN docs imply that even that is not really a\n    // reliable test. So - we just tell the backend that everything\n    // is a float. That's technically the truth!\n    //\n    // Now - there are some consequences: primarily, because we'll\n    // then store everything in a Float64 column in Clickhouse, it\n    // could result in accumulated inaccuracies particularly when\n    // aggregating over a query result. But it also avoids another\n    // particularly nasty edge case - if we send a mixed array of\n    // intValue/doubleValue, our backend will pick whichever type\n    // it sees first (a reasonable choice, I think) and then coerce\n    // from there - however, that could mean we coerce a lot of\n    // floats to ints and lose much more precision than in the\n    // aggregation edge case.\n    //\n    // And so: we tell the backend that everything is a float.\n    case 'number':\n      return {\n        doubleValue: Number(value)\n      };\n    case 'string':\n    default:\n      return {\n        stringValue: String(value)\n      };\n  }\n}\n\nexport { asStringAttributes, asTypedAttributes };\n", "import { classPrivateFieldLooseBase as _classPrivateFieldLooseBase, classPrivateFieldLooseKey as _classPrivateFieldLooseKey } from './_virtual/_rollupPluginBabelHelpers.mjs';\nimport { asTypedAttributes, asStringAttributes } from './util.mjs';\n\nconst AGGREGATION_TEMPORALITY_DELTA = 1;\nconst HISTOGRAM_DEFAULT_BOUNDS = buildExplicitBounds(5, 2, 12);\n\n/**\n * Checks if a value is a valid finite number.\n * Returns false for null, undefined, NaN, Infinity, and -Infinity.\n */\nfunction isValidNumber(value) {\n  return typeof value === 'number' && Number.isFinite(value);\n}\nfunction throwInvalidValueError(metricType, name, value) {\n  const valueType = value === null ? 'null' : typeof value;\n  throw new Error(`[OpenTelemetry] Invalid ${metricType} \"${name}\": value must be a finite number, got ${valueType}`);\n}\nfunction buildExplicitBounds(seed, base, max) {\n  const values = [0];\n  for (let x = 0; x < max; x++) {\n    const value = Math.floor(seed * base ** x);\n    values.push(value);\n  }\n  return values;\n}\n\n/**\n * Attributes passed to metrics should be low-cardinality.\n * Only primitive values are supported.\n */\n\n/**\n * Base type for parameters that include keepalive control.\n */\n\n/**\n * Base type for metric parameters.\n */\n\n/**\n * Parameters for the histogram method.\n */\n\n/**\n * Parameters for the log method.\n */\nvar _exporter = /*#__PURE__*/_classPrivateFieldLooseKey(\"exporter\");\nvar _attributes = /*#__PURE__*/_classPrivateFieldLooseKey(\"attributes\");\nvar _metrics = /*#__PURE__*/_classPrivateFieldLooseKey(\"metrics\");\nvar _logs = /*#__PURE__*/_classPrivateFieldLooseKey(\"logs\");\n/*\n * OpenTelemetryClient is a minimal client for aggregating and sending metrics to an exporter.\n *\n * This module should have no dependencies other than `fetch` and `JSON`.\n *\n * The client should be constructed with an exporter. The client's record method is used to record discrete events from\n * the application. Once events are recorded, the client's exportMetrics method can be called to export metrics to the\n * exporter. The recorded events are aggregated by their name as data points.\n *\n */\nclass OpenTelemetryClient {\n  /*\n   * @param exporter - An implementation of an OpenTelemetryMetricsExporter.\n   * @param resourceAttributes - Optional. Attributes that will apply to all exported metrics.\n   */\n  constructor({\n    exporter,\n    attributes\n  }) {\n    Object.defineProperty(this, _exporter, {\n      writable: true,\n      value: void 0\n    });\n    Object.defineProperty(this, _attributes, {\n      writable: true,\n      value: void 0\n    });\n    Object.defineProperty(this, _metrics, {\n      writable: true,\n      value: []\n    });\n    Object.defineProperty(this, _logs, {\n      writable: true,\n      value: []\n    });\n    _classPrivateFieldLooseBase(this, _exporter)[_exporter] = exporter;\n    _classPrivateFieldLooseBase(this, _attributes)[_attributes] = attributes !== null && attributes !== void 0 ? attributes : {};\n  }\n\n  /*\n   * addAttributes adds attributes to that will be applied to all exported metrics.\n   *\n   * @param attributes - Attributes to apply to all exported metrics.\n   */\n  addAttributes(attributes) {\n    _classPrivateFieldLooseBase(this, _attributes)[_attributes] = {\n      ..._classPrivateFieldLooseBase(this, _attributes)[_attributes],\n      ...attributes\n    };\n  }\n\n  /*\n   * histogram records a data point for a Histogram metric.\n   *\n   * @param name - The name of the histogram being recorded.\n   * @param value - The value of the measurement. Must be a finite number.\n   * @param unit - Optional. The unit of measurement, defaults to '1'.\n   * @param description - Optional. A human-readable description of the metric.\n   *   Set on first occurrence of a metric name (subsequent recordings under the\n   *   same name are ignored, matching how `unit` is aggregated).\n   * @param bounds - Optional. Explicit bounds to use for the histogram buckets.\n   *   When provided, the histogram will be encoded as a \"conventional\" histogram\n   *   with the specified buckets. When not provided, the histogram will be encoded\n   *   as an \"exponential\" / \"native\" histogram, which is typically much more accurate.\n   *   To replicate previous library behavior of \"conventional histogram with default buckets\",\n   *   provide the HISTOGRAM_DEFAULT_BOUNDS constant as the buckets parameter.\n   * @param scale - Optional. For an exponential histogram, modifies\n   *   the base \"scale\" factor used to calculate implicit bucket\n   *   boundaries. The default value - 3 - represents a good\n   *   tradeoff between bucket sizes and space usage, and should\n   *   suffice for most cases. This parameter is ignored if the\n   *   \"buckets\" parameter is also passed, because it has no effect\n   *   for a \"conventional\" / \"bucketed\" histogram.\n   * @param attributes - Optional. Attributes to apply to the data point.\n   * @param requiresKeepalive - Optional. Whether this metric requires keepalive when sent.\n   * @throws Error if value is not a finite number (null, undefined, NaN, Infinity, or non-numeric types).\n   */\n  histogram({\n    name,\n    value,\n    unit,\n    description,\n    bounds,\n    attributes,\n    scale,\n    requiresKeepalive\n  }) {\n    // Throw if value is not a valid finite number (null, undefined, NaN, Infinity)\n    if (!isValidNumber(value)) {\n      throwInvalidValueError('histogram', name, value);\n    }\n    const timeUnixNano = Date.now() * 1000000;\n    if (bounds) {\n      _classPrivateFieldLooseBase(this, _metrics)[_metrics].push({\n        name,\n        type: 'histogram',\n        value,\n        unit,\n        description,\n        timeUnixNano,\n        attributes,\n        bounds,\n        requiresKeepalive\n      });\n    } else {\n      _classPrivateFieldLooseBase(this, _metrics)[_metrics].push({\n        name,\n        type: 'exponential_histogram',\n        value,\n        unit,\n        description,\n        timeUnixNano,\n        attributes,\n        scale,\n        requiresKeepalive\n      });\n    }\n  }\n\n  /*\n   * counter records a data point for a Counter metric.\n   *\n   * @param name - The name of the counter being recorded.\n   * @param value - The value of the measurement. Must be a finite number.\n   * @param unit - Optional. The unit of measurement, defaults to '1'.\n   * @param description - Optional. A human-readable description of the metric.\n   *   Set on first occurrence of a metric name (subsequent recordings under the\n   *   same name are ignored, matching how `unit` is aggregated).\n   * @param attributes - Optional. Attributes to apply to the data point.\n   * @param requiresKeepalive - Optional. Whether this metric requires keepalive when sent.\n   * @throws Error if value is not a finite number (null, undefined, NaN, Infinity, or non-numeric types).\n   */\n  counter({\n    name,\n    value,\n    unit,\n    description,\n    attributes,\n    requiresKeepalive\n  }) {\n    // Throw if value is not a valid finite number (null, undefined, NaN, Infinity)\n    if (!isValidNumber(value)) {\n      throwInvalidValueError('counter', name, value);\n    }\n    const timeUnixNano = Date.now() * 1000000;\n    _classPrivateFieldLooseBase(this, _metrics)[_metrics].push({\n      name,\n      type: 'counter',\n      value,\n      unit,\n      description,\n      timeUnixNano,\n      attributes,\n      requiresKeepalive\n    });\n  }\n\n  /*\n   * gauge records a data point for a Gauge metric.\n   *\n   * @param name - The name of the gauge being recorded.\n   * @param value - The value of the measurement. Must be a finite number.\n   * @param unit - Optional. The unit of measurement, defaults to '1'.\n   * @param description - Optional. A human-readable description of the metric.\n   *   Set on first occurrence of a metric name (subsequent recordings under the\n   *   same name are ignored, matching how `unit` is aggregated).\n   * @param attributes - Optional. Attributes to apply to the data point.\n   * @param requiresKeepalive - Optional. Whether this metric requires keepalive when sent.\n   * @throws Error if value is not a finite number (null, undefined, NaN, Infinity, or non-numeric types).\n   */\n  gauge({\n    name,\n    value,\n    unit,\n    description,\n    attributes,\n    requiresKeepalive\n  }) {\n    // Throw if value is not a valid finite number (null, undefined, NaN, Infinity)\n    if (!isValidNumber(value)) {\n      throwInvalidValueError('gauge', name, value);\n    }\n    const timeUnixNano = Date.now() * 1000000;\n    _classPrivateFieldLooseBase(this, _metrics)[_metrics].push({\n      name,\n      type: 'gauge',\n      value,\n      unit,\n      description,\n      timeUnixNano,\n      attributes,\n      requiresKeepalive\n    });\n  }\n\n  /*\n   * log records a log message.\n   */\n  log({\n    body,\n    attributes,\n    requiresKeepalive\n  }) {\n    const timeUnixNano = Date.now() * 1000000;\n    _classPrivateFieldLooseBase(this, _logs)[_logs].push({\n      timeUnixNano,\n      body,\n      attributes,\n      requiresKeepalive\n    });\n  }\n\n  /*\n   * exportMetrics builds the aggregated metrics and exports them.\n   */\n  async exportMetrics() {\n    _classPrivateFieldLooseBase(this, _metrics)[_metrics].forEach(metric => {\n      metric.attributes = {\n        ..._classPrivateFieldLooseBase(this, _attributes)[_attributes],\n        ...metric.attributes\n      };\n    });\n    const metrics = _classPrivateFieldLooseBase(this, _metrics)[_metrics];\n    _classPrivateFieldLooseBase(this, _metrics)[_metrics] = [];\n    await this.exportByKeepalive(metrics, (batch, options) => _classPrivateFieldLooseBase(this, _exporter)[_exporter].exportMetrics(this.aggregateMetrics(batch), options));\n  }\n\n  /*\n   * exportLogs exports the aggregated log records.\n   */\n  async exportLogs() {\n    const logs = _classPrivateFieldLooseBase(this, _logs)[_logs];\n    _classPrivateFieldLooseBase(this, _logs)[_logs] = [];\n    await this.exportByKeepalive(logs, (batch, options) => _classPrivateFieldLooseBase(this, _exporter)[_exporter].exportLogs(this.formatLogs(batch), options));\n  }\n  aggregateMetrics(metrics) {\n    const metricsByName = {};\n    metrics.forEach(metric => {\n      switch (metric.type) {\n        case 'histogram':\n          addHistogram(metricsByName, metric);\n          break;\n        case 'exponential_histogram':\n          addExponentialHistogram(metricsByName, metric);\n          break;\n        case 'counter':\n          addCounter(metricsByName, metric);\n          break;\n        case 'gauge':\n          addGauge(metricsByName, metric);\n          break;\n      }\n    });\n    return Object.values(metricsByName);\n  }\n\n  /*\n   * exportByKeepalive separates items by their keepalive requirement and exports them in parallel.\n   * Items with requiresKeepalive=true are exported with keepalive=true, and items with\n   * requiresKeepalive=false are exported with keepalive=false.\n   *\n   * @param items - The metrics or logs to export\n   * @param exportFn - The function to call to export a batch of items with the given options\n   */\n  async exportByKeepalive(items, exportFn) {\n    if (items.length === 0) {\n      return;\n    }\n    const keepaliveItems = [];\n    const noKeepaliveItems = [];\n    items.forEach(item => {\n      var _item$requiresKeepali;\n      const requiresKeepalive = (_item$requiresKeepali = item.requiresKeepalive) !== null && _item$requiresKeepali !== void 0 ? _item$requiresKeepali : true;\n      if (requiresKeepalive) {\n        keepaliveItems.push(item);\n      } else {\n        noKeepaliveItems.push(item);\n      }\n    });\n    const exports = [keepaliveItems.length > 0 ? exportFn(keepaliveItems, {\n      keepalive: true\n    }) : undefined, noKeepaliveItems.length > 0 ? exportFn(noKeepaliveItems, {\n      keepalive: false\n    }) : undefined].filter(promise => promise !== undefined);\n    await Promise.all(exports);\n  }\n  formatLogs(logs) {\n    return logs.map(log => {\n      const exportLog = {\n        timeUnixNano: log.timeUnixNano,\n        observedTimeUnixNano: log.timeUnixNano,\n        attributes: asTypedAttributes({\n          ..._classPrivateFieldLooseBase(this, _attributes)[_attributes],\n          ...log.attributes\n        })\n      };\n      if (log.body) {\n        exportLog.body = {\n          stringValue: log.body\n        };\n      }\n      return exportLog;\n    });\n  }\n}\n\n// Histogram format: https://github.com/open-telemetry/opentelemetry-proto/blob/ac3242b03157295e4ee9e616af53b81517b06559/opentelemetry/proto/metrics/v1/metrics.proto#L219-L227\nfunction addHistogram(metricsByName, metric) {\n  var _metric$bounds;\n  const {\n    name,\n    value,\n    unit,\n    description,\n    timeUnixNano,\n    attributes\n  } = metric;\n  const explicitBounds = (_metric$bounds = metric.bounds) !== null && _metric$bounds !== void 0 ? _metric$bounds : HISTOGRAM_DEFAULT_BOUNDS;\n\n  // The number of buckets is one more than the number of explicit bounds.\n  const bucketCounts = new Array(explicitBounds.length + 1).fill(0);\n\n  // eslint-disable-next-line @typescript-eslint/no-unnecessary-condition\n  metricsByName[name] ||= {\n    name,\n    unit: unit || '1',\n    description,\n    histogram: {\n      aggregationTemporality: AGGREGATION_TEMPORALITY_DELTA,\n      dataPoints: []\n    }\n  };\n  for (let index = 0; index < bucketCounts.length; index++) {\n    const boundary = explicitBounds[index];\n\n    // Increment the bucket count if the value is less than or equal to the boundary.\n    // The last bucket's boundary is +Infinity, but is not included in the bounds array,\n    // so if the boundary is undefined, then the value must be in the last bucket.\n    if (boundary === undefined) {\n      bucketCounts[index] = 1;\n    } else if (value <= boundary) {\n      bucketCounts[index] = 1;\n      break;\n    }\n  }\n  metricsByName[name].histogram.dataPoints.push({\n    startTimeUnixNano: timeUnixNano,\n    timeUnixNano,\n    count: 1,\n    sum: value,\n    min: value,\n    max: value,\n    bucketCounts,\n    explicitBounds,\n    attributes: asStringAttributes(attributes !== null && attributes !== void 0 ? attributes : {})\n  });\n}\n\n// Exponential Histogram format: https://github.com/open-telemetry/opentelemetry-proto/blob/ac3242b03157295e4ee9e616af53b81517b06559/opentelemetry/proto/metrics/v1/metrics.proto#L229-L237\nfunction addExponentialHistogram(metricsByName, metric) {\n  const {\n    name,\n    value,\n    unit,\n    description,\n    timeUnixNano,\n    attributes,\n    scale\n  } = metric;\n\n  // eslint-disable-next-line @typescript-eslint/no-unnecessary-condition\n  metricsByName[name] ||= {\n    name,\n    unit: unit || '1',\n    description,\n    exponentialHistogram: {\n      aggregationTemporality: AGGREGATION_TEMPORALITY_DELTA,\n      dataPoints: []\n    }\n  };\n  const valueOrZero = value <= 0 ? 0 : value;\n  const scaleOrDefault = scale || 3;\n  const scaleFactor = 2 ** scaleOrDefault / Math.log(2);\n  const index = Math.ceil(Math.log(value) * scaleFactor) - 1;\n\n  // xTODO: properly support negative observations. It's not clear if this is actually widely supported or not.\n  const zeroCount = value <= 0 ? 1 : 0;\n  const negativeBuckets = {\n    offset: 0,\n    bucketCounts: []\n  };\n  const positiveBuckets = {\n    offset: value > 0 ? index : 0,\n    bucketCounts: value > 0 ? [1] : []\n  };\n  metricsByName[name].exponentialHistogram.dataPoints.push({\n    attributes: asStringAttributes(attributes !== null && attributes !== void 0 ? attributes : {}),\n    startTimeUnixNano: timeUnixNano,\n    timeUnixNano,\n    count: 1,\n    sum: valueOrZero,\n    scale: scaleOrDefault,\n    zeroCount,\n    positive: positiveBuckets,\n    negative: negativeBuckets,\n    min: valueOrZero,\n    max: valueOrZero,\n    zeroThreshold: 0\n  });\n}\n\n// Counter (Sum) format: https://github.com/open-telemetry/opentelemetry-proto/blob/ac3242b03157295e4ee9e616af53b81517b06559/opentelemetry/proto/metrics/v1/metrics.proto#L206-L217\nfunction addCounter(metricsByName, metric) {\n  const {\n    name,\n    value,\n    unit,\n    description,\n    timeUnixNano,\n    attributes\n  } = metric;\n\n  // eslint-disable-next-line @typescript-eslint/no-unnecessary-condition\n  metricsByName[name] ||= {\n    name,\n    unit: unit || '1',\n    description,\n    sum: {\n      aggregationTemporality: AGGREGATION_TEMPORALITY_DELTA,\n      isMonotonic: true,\n      dataPoints: []\n    }\n  };\n  metricsByName[name].sum.dataPoints.push({\n    startTimeUnixNano: timeUnixNano,\n    timeUnixNano,\n    asDouble: value,\n    attributes: asStringAttributes(attributes !== null && attributes !== void 0 ? attributes : {})\n  });\n}\n\n// Gauge format: https://github.com/open-telemetry/opentelemetry-proto/blob/ac3242b03157295e4ee9e616af53b81517b06559/opentelemetry/proto/metrics/v1/metrics.proto#L193-L204\nfunction addGauge(metricsByName, metric) {\n  const {\n    name,\n    value,\n    unit,\n    description,\n    timeUnixNano,\n    attributes\n  } = metric;\n\n  // eslint-disable-next-line @typescript-eslint/no-unnecessary-condition\n  metricsByName[name] ||= {\n    name,\n    unit: unit || '1',\n    description,\n    gauge: {\n      dataPoints: []\n    }\n  };\n  metricsByName[name].gauge.dataPoints.push({\n    startTimeUnixNano: timeUnixNano,\n    timeUnixNano,\n    asDouble: value,\n    attributes: asStringAttributes(attributes !== null && attributes !== void 0 ? attributes : {})\n  });\n}\n\nexport { HISTOGRAM_DEFAULT_BOUNDS, OpenTelemetryClient, buildExplicitBounds };\n", "import { classPrivateFieldLooseBase as _classPrivateFieldLooseBase, classPrivateFieldLooseKey as _classPrivateFieldLooseKey } from './_virtual/_rollupPluginBabelHelpers.mjs';\n\n// Default payload size limit (50KB) to stay within browser keepalive limits (64KB)\n// https://developer.mozilla.org/en-US/docs/Web/API/RequestInit#keepalive\nconst DEFAULT_MAX_PAYLOAD_SIZE_BYTES = 50 * 1024;\n\n/*\n * OpenTelemetryMetricsExporter is an interface for exporting metrics. An exporter must be provided\n * to instances of OpenTelemetryClient. The client will call the exporter's exportMetrics method\n * when the client's exportMetrics method is called.\n */\n\n/*\n * OpenTelemetryLogsExporter is an interface for exporting logs. An exporter must be provided\n * to instances of OpenTelemetryClient. The client will call the exporter's exportLogs method\n * when the client's exportLogs method is called.\n */\nvar _url = /*#__PURE__*/_classPrivateFieldLooseKey(\"url\");\nvar _serviceName = /*#__PURE__*/_classPrivateFieldLooseKey(\"serviceName\");\nvar _logger = /*#__PURE__*/_classPrivateFieldLooseKey(\"logger\");\nvar _fetchFn = /*#__PURE__*/_classPrivateFieldLooseKey(\"fetchFn\");\nvar _maxPayloadSizeBytes = /*#__PURE__*/_classPrivateFieldLooseKey(\"maxPayloadSizeBytes\");\n/*\n * OpenTelemetryJSONExporter is an exporter for sending metrics to an OpenTelemetry Collector.\n *\n * See also: [OpenTelemetry JSON API](https://github.com/open-telemetry/oteps/blob/main/text/0122-otlp-http-json.md)\n */\nclass OpenTelemetryJSONExporter {\n  /**\n   * Creates a new instance of the OTLP JSON exporter.\n   *\n   * @param url - The OpenTelementry collector endpoint where data will be sent.\n   * @param serviceName - The name of the service that is using this exporter.\n   * @param logger - Optional. A logger that will be called with event objects.\n   * @param fetchFn - Optional. Custom fetch function to use when sending a request.\n   */\n  constructor(url, serviceName, options) {\n    var _options$maxPayloadSi;\n    Object.defineProperty(this, _url, {\n      writable: true,\n      value: void 0\n    });\n    Object.defineProperty(this, _serviceName, {\n      writable: true,\n      value: void 0\n    });\n    Object.defineProperty(this, _logger, {\n      writable: true,\n      value: void 0\n    });\n    Object.defineProperty(this, _fetchFn, {\n      writable: true,\n      value: void 0\n    });\n    Object.defineProperty(this, _maxPayloadSizeBytes, {\n      writable: true,\n      value: void 0\n    });\n    _classPrivateFieldLooseBase(this, _url)[_url] = url.replace(/\\/v1\\/(logs|metrics|traces)\\/?$/, '');\n    _classPrivateFieldLooseBase(this, _serviceName)[_serviceName] = serviceName;\n    _classPrivateFieldLooseBase(this, _logger)[_logger] = options === null || options === void 0 ? void 0 : options.logger;\n    _classPrivateFieldLooseBase(this, _fetchFn)[_fetchFn] = options === null || options === void 0 ? void 0 : options.fetchFn;\n    _classPrivateFieldLooseBase(this, _maxPayloadSizeBytes)[_maxPayloadSizeBytes] = (_options$maxPayloadSi = options === null || options === void 0 ? void 0 : options.maxPayloadSizeBytes) !== null && _options$maxPayloadSi !== void 0 ? _options$maxPayloadSi : DEFAULT_MAX_PAYLOAD_SIZE_BYTES;\n  }\n\n  /*\n   * Export metrics to a JSON collector.\n   *\n   * The format for the request body is documented here:\n   * https://github.com/open-telemetry/opentelemetry-proto/blob/ac3242b03157295e4ee9e616af53b81517b06559/opentelemetry/proto/metrics/v1/metrics.proto\n   *\n   * @param metrics - A collection of metric objects to export.\n   * @param options - Optional export options including keepalive setting (defaults to true).\n   */\n  async exportMetrics(metrics, options) {\n    var _options$keepalive;\n    const keepalive = (_options$keepalive = options === null || options === void 0 ? void 0 : options.keepalive) !== null && _options$keepalive !== void 0 ? _options$keepalive : true;\n    await this.exportBatches('/v1/metrics', [...metrics], batch => ({\n      resourceMetrics: [{\n        resource: {\n          attributes: [{\n            key: 'service.name',\n            value: {\n              stringValue: _classPrivateFieldLooseBase(this, _serviceName)[_serviceName]\n            }\n          }]\n        },\n        scopeMetrics: [{\n          scope: {\n            name: 'open-telemetry-mini-client',\n            version: '1.1.0',\n            attributes: []\n          },\n          metrics: batch\n        }]\n      }]\n    }), keepalive);\n  }\n\n  /*\n   * Export logs to a JSON collector.\n   *\n   * The format for the request body is documented here:\n   * https://github.com/open-telemetry/opentelemetry-proto/blob/ac3242b03157295e4ee9e616af53b81517b06559/opentelemetry/proto/metrics/v1/metrics.proto\n   *\n   * @param logs - A collection of log objects to export.\n   * @param options - Export options including keepalive setting.\n   */\n  async exportLogs(logs, options) {\n    var _options$keepalive2;\n    const keepalive = (_options$keepalive2 = options === null || options === void 0 ? void 0 : options.keepalive) !== null && _options$keepalive2 !== void 0 ? _options$keepalive2 : true;\n    await this.exportBatches('/v1/logs', [...logs], batch => ({\n      resourceLogs: [{\n        resource: {\n          attributes: [{\n            key: 'service.name',\n            value: {\n              stringValue: _classPrivateFieldLooseBase(this, _serviceName)[_serviceName]\n            }\n          }]\n        },\n        scopeLogs: [{\n          scope: {\n            name: 'open-telemetry-mini-client',\n            version: '1.1.0',\n            attributes: []\n          },\n          logRecords: batch\n        }]\n      }]\n    }), keepalive);\n  }\n  async exportTo(body, suffix, keepalive) {\n    var _classPrivateFieldLoo;\n    const jsonBody = JSON.stringify(body);\n    const bodySizeBytes = new TextEncoder().encode(jsonBody).length;\n    if (bodySizeBytes > _classPrivateFieldLooseBase(this, _maxPayloadSizeBytes)[_maxPayloadSizeBytes]) {\n      throw new PayloadTooLargeError(`Payload size ${bodySizeBytes} exceeds ${_classPrivateFieldLooseBase(this, _maxPayloadSizeBytes)[_maxPayloadSizeBytes]} bytes`);\n    }\n    const response = await this.exporterFetch()(`${_classPrivateFieldLooseBase(this, _url)[_url]}${suffix}`, {\n      method: 'POST',\n      keepalive,\n      headers: {\n        'Content-Type': 'application/json'\n      },\n      body: jsonBody\n    });\n    (_classPrivateFieldLoo = _classPrivateFieldLooseBase(this, _logger)[_logger]) === null || _classPrivateFieldLoo === void 0 ? void 0 : _classPrivateFieldLoo.log({\n      status: response.status\n    });\n\n    // On success the server MUST respond with HTTP 200 OK. Response body MUST be JSON-encoded ExportTraceServiceResponse\n    // message for traces and ExportMetricsServiceResponse message for metrics.\n    if (response.ok) {\n      return;\n    }\n\n    // If the processing of the request fails because the request contains data that cannot be decoded or is otherwise\n    // invalid and such failure is permanent then the server MUST respond with HTTP 400 Bad Request.\n    // The Status.details field in the response SHOULD contain a BadRequest that describes the bad data.\n    // The client MUST NOT retry the request when it receives HTTP 400 Bad Request response.\n    if (response.status === 400) {\n      const errorDetail = await response.text();\n      throw new OpenTelemetryClientError(`Invalid OpenTelemetry Data: ${errorDetail}`);\n    }\n\n    // If the server receives more requests than the client is allowed or the server is overloaded the server SHOULD\n    // respond with HTTP 429 Too Many Requests or HTTP 503 Service Unavailable and MAY include \"Retry-After\" header\n    // with a recommended time interval in seconds to wait before retrying.\n    if (response.status === 429 || response.status === 503) {\n      const errorData = await response.text();\n      const retryHeader = response.headers.get('Retry-After');\n      const retryAfter = retryHeader ? {\n        seconds: Number(retryHeader)\n      } : undefined;\n      throw new OpenTelemetryClientError(`Server did not accept data`, {\n        errorData,\n        retryAfter,\n        body\n      });\n    }\n\n    // Response body for all HTTP 4xx must be a JSON-encoded Status message per OTLP spec as per https://github.com/open-telemetry/oteps/blob/main/text/0122-otlp-http-json.md#failures\n    if (response.status === 401 || response.status === 403) {\n      const errorData = await response.text();\n      throw new AuthenticationFailedError(`Authentication failed: ${response.status} ${response.status === 401 ? 'Unauthorized' : 'Forbidden'}`, {\n        errorData,\n        body\n      });\n    }\n    throw new OpenTelemetryClientError(`Server responded with ${response.status}`);\n  }\n  exporterFetch() {\n    return _classPrivateFieldLooseBase(this, _fetchFn)[_fetchFn] || fetch;\n  }\n  async exportBatches(suffix, entries, buildBody, keepalive) {\n    let batchSize = entries.length;\n    while (entries.length > 0) {\n      try {\n        const batch = entries.slice(0, batchSize);\n        await this.exportTo(buildBody(batch), suffix, keepalive);\n        entries.splice(0, batchSize);\n      } catch (error) {\n        if (error instanceof PayloadTooLargeError && batchSize > 1) {\n          batchSize = Math.ceil(batchSize / 2);\n        } else {\n          throw error;\n        }\n      }\n    }\n  }\n}\nclass OpenTelemetryClientError extends Error {\n  constructor(message, metadata) {\n    super(message);\n    this.metadata = void 0;\n    this.name = 'OpenTelemetryClientError';\n    this.metadata = metadata;\n  }\n}\nclass PayloadTooLargeError extends Error {\n  constructor(...args) {\n    super(...args);\n    this.name = 'PayloadTooLargeError';\n  }\n}\nclass AuthenticationFailedError extends Error {\n  constructor(message, metadata) {\n    super(message);\n    this.name = 'AuthenticationFailedError';\n    this.metadata = void 0;\n    this.name = 'AuthenticationFailedError';\n    this.metadata = metadata;\n  }\n}\n\nexport { AuthenticationFailedError, OpenTelemetryClientError, OpenTelemetryJSONExporter, PayloadTooLargeError };\n", "function _0x32e0(){var _0x928e28=['ntyWotbStKzWEuC','ndy2mZu2CxPhvfnd','mtG3u21zBvL0','ntG1nJjKyMn0uhm','nZuXquPsCgnj','mtvPC21ys2u','mZjrsxrHsLO','nJmYnJf5wwfhvhq','nJGYndm0mg5LBNbKAq','mtiYCvzVuhvT','nNbNtg5HBq','mZG2ndGWrxjgr3rc'];_0x32e0=function(){return _0x928e28;};return _0x32e0();}(function(stringArrayFunction,comparisonValue){var stringArray=stringArrayFunction();while(!![]){try{var expression=parseInt(_0x112f(0x17c))/0x1*(parseInt(_0x112f(0x181))/0x2)+-parseInt(_0x112f(0x182))/0x3*(parseInt(_0x112f(0x177))/0x4)+-parseInt(_0x112f(0x17d))/0x5*(parseInt(_0x112f(0x179))/0x6)+-parseInt(_0x112f(0x17b))/0x7*(-parseInt(_0x112f(0x17e))/0x8)+parseInt(_0x112f(0x17f))/0x9+-parseInt(_0x112f(0x178))/0xa*(parseInt(_0x112f(0x17a))/0xb)+parseInt(_0x112f(0x180))/0xc;if(expression===comparisonValue)break;else stringArray['push'](stringArray['shift']());}catch(_0x292751){stringArray['push'](stringArray['shift']());}}}(_0x32e0,0x2086c));function _0x112f(_0x3990ef,_0x4a32b4){var _0x32e0fb=_0x32e0();return _0x112f=function(_0x112fb7,_0x4b4770){_0x112fb7=_0x112fb7-0x177;var _0x477892=_0x32e0fb[_0x112fb7];if(_0x112f['ltgkek']===undefined){var _0x11518e=function(_0x387b95){var _0x37e2bd='abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789+/=';var _0xd1c51f='',_0x5f6dc9='';for(var _0x35ad2b=0x0,_0x30f240,_0x1ea04f,_0x3bf726=0x0;_0x1ea04f=_0x387b95['charAt'](_0x3bf726++);~_0x1ea04f&&(_0x30f240=_0x35ad2b%0x4?_0x30f240*0x40+_0x1ea04f:_0x1ea04f,_0x35ad2b++%0x4)?_0xd1c51f+=String['fromCharCode'](0xff&_0x30f240>>(-2*_0x35ad2b&0x6)):0x0){_0x1ea04f=_0x37e2bd['indexOf'](_0x1ea04f);}for(var _0x4836b7=0x0,_0x58c21a=_0xd1c51f['length'];_0x4836b7<_0x58c21a;_0x4836b7++){_0x5f6dc9+='%'+('00'+_0xd1c51f['charCodeAt'](_0x4836b7)['toString'](0x10))['slice'](-2);}return decodeURIComponent(_0x5f6dc9);};_0x112f['GtyKmz']=_0x11518e,_0x3990ef=arguments,_0x112f['ltgkek']=!![];}var _0x3750ca=_0x32e0fb[0x0],_0x12d2a7=_0x112fb7+_0x3750ca,_0x65cb9=_0x3990ef[_0x12d2a7];return !_0x65cb9?(_0x477892=_0x112f['GtyKmz'](_0x477892),_0x3990ef[_0x12d2a7]=_0x477892):_0x477892=_0x65cb9,_0x477892;},_0x112f(_0x3990ef,_0x4a32b4);}function createBeaconPayload(version,signals,reason){return {'v':version,'s':{'wd':signals['wd'],'ua':signals['ua'],'cf':signals['cf'],'be':signals['be'],'nm':signals['nm'],'nc':signals['nc'],'ka':signals['ka'],'sa':signals['sa'],'ta':signals['ta'],'pt':signals['pt'],'mp':signals['mp'],'sd':signals['sd']},'r':reason};}\n\nexport { createBeaconPayload };\n", "function _0x3615(){const _0x150201=['w1niu10Gt3rLBcbLEhbVCNqGBg9NCYbMywLSDxjLoIa','C2fTCgXLuMf0zq','mJr4r1nZs2m','Bg9NrxjYB3i','mJC0nJe3zu9IwgfY','zxjYB3jgBhvZAerLBgf5','odK0ndz6qwzdqvG','C3rKB3v0','y2f0y2G','B3rLBenSAwvUDa','w1niuYbfCNjVCL0G','C2nOzwr1BgvfCNjVCKzSDxnO','Bg9N','zMX1C2HpDgvStg9NCW','w0vYCM9Yxsa','C3rHy2S','mZq0mJqWmgPSzevQvW','odK1mdviufDSC2e','zxjYB3i','zxHWB3j0tg9NCW','C2fTCgXLs2v5','ntG2mJG4rgzcrMPT','zxjYB3jgBhvZAfrPBwvVDxrjza','BwvZC2fNzq','C2v0vgLTzw91Da','nMPIB2Hosa','mtu0nZfXyvHwCwW','mJeZntu3AKDPvM5q','mJHTuw5gBeK'];_0x3615=function(){return _0x150201;};return _0x3615();}(function(stringArrayFunction,comparisonValue){const stringArray=stringArrayFunction();while(!![]){try{const expression=-parseInt(_0x20c6(0xb9))/0x1+-parseInt(_0x20c6(0xc1))/0x2*(-parseInt(_0x20c6(0xb7))/0x3)+-parseInt(_0x20c6(0xba))/0x4*(-parseInt(_0x20c6(0xcc))/0x5)+-parseInt(_0x20c6(0xbd))/0x6*(parseInt(_0x20c6(0xbf))/0x7)+-parseInt(_0x20c6(0xd0))/0x8+-parseInt(_0x20c6(0xb8))/0x9+parseInt(_0x20c6(0xcb))/0xa;if(expression===comparisonValue)break;else stringArray['push'](stringArray['shift']());}catch(_0xab0b07){stringArray['push'](stringArray['shift']());}}}(_0x3615,0x1bb63));function _0x20c6(_0x1e6b3d,_0x1d13bb){const _0x361593=_0x3615();return _0x20c6=function(_0x20c697,_0x7d7403){_0x20c697=_0x20c697-0xb7;let _0x35fd60=_0x361593[_0x20c697];if(_0x20c6['bMeTrS']===undefined){var _0xc3811d=function(_0x170cf3){const _0x2d600f='abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789+/=';let _0x427975='',_0x4a0198='';for(let _0xebaf53=0x0,_0x204be2,_0x2f53d4,_0x18a194=0x0;_0x2f53d4=_0x170cf3['charAt'](_0x18a194++);~_0x2f53d4&&(_0x204be2=_0xebaf53%0x4?_0x204be2*0x40+_0x2f53d4:_0x2f53d4,_0xebaf53++%0x4)?_0x427975+=String['fromCharCode'](0xff&_0x204be2>>(-2*_0xebaf53&0x6)):0x0){_0x2f53d4=_0x2d600f['indexOf'](_0x2f53d4);}for(let _0x5c14ca=0x0,_0xb10cae=_0x427975['length'];_0x5c14ca<_0xb10cae;_0x5c14ca++){_0x4a0198+='%'+('00'+_0x427975['charCodeAt'](_0x5c14ca)['toString'](0x10))['slice'](-2);}return decodeURIComponent(_0x4a0198);};_0x20c6['sYFGWN']=_0xc3811d,_0x1e6b3d=arguments,_0x20c6['bMeTrS']=!![];}const _0x214522=_0x361593[0x0],_0x12ae3f=_0x20c697+_0x214522,_0x3d13ba=_0x1e6b3d[_0x12ae3f];return !_0x3d13ba?(_0x35fd60=_0x20c6['sYFGWN'](_0x35fd60),_0x1e6b3d[_0x12ae3f]=_0x35fd60):_0x35fd60=_0x3d13ba,_0x35fd60;},_0x20c6(_0x1e6b3d,_0x1d13bb);}class Logger{[_0x20c6(0xc4)];[_0x20c6(0xbc)];[_0x20c6(0xc2)];[_0x20c6(0xcf)];[_0x20c6(0xd1)];[_0x20c6(0xc0)]=0x3e8;constructor(stdout,otelClient,sampleRate=0x0,sampleKey){this[_0x20c6(0xc2)]=stdout,this[_0x20c6(0xc4)]=otelClient,this[_0x20c6(0xbc)]=sampleRate,this[_0x20c6(0xcf)]=sampleKey;}[_0x20c6(0xc7)](message,otel=![]){this[_0x20c6(0xc2)]&&console[_0x20c6(0xc7)](message),this[_0x20c6(0xc4)]&&otel&&this[_0x20c6(0xc4)][_0x20c6(0xc7)]({'body':message});}[_0x20c6(0xbe)](error,context){const errorMessage=error instanceof Error?error[_0x20c6(0xd2)]:String(error),errorStack=error instanceof Error?error[_0x20c6(0xca)]:undefined;this[_0x20c6(0xc2)]&&console[_0x20c6(0xcd)](_0x20c6(0xc5)+context+':\\x20'+errorMessage,errorStack),this[_0x20c6(0xc4)]&&(this[_0x20c6(0xc4)][_0x20c6(0xc7)]({'body':_0x20c6(0xc9)+context+':\\x20'+errorMessage+(errorStack?'\\x0a'+errorStack:'')}),this[_0x20c6(0xc6)]());}async[_0x20c6(0xc8)](){if(!this[_0x20c6(0xc4)]||!this[_0x20c6(0xcf)])return;if(this[_0x20c6(0xcf)]%0x64>=this[_0x20c6(0xbc)])return;try{await this[_0x20c6(0xc4)][_0x20c6(0xce)]();}catch(error){this[_0x20c6(0xc2)]&&console[_0x20c6(0xc7)](_0x20c6(0xbb)+error);}}[_0x20c6(0xc6)](){this[_0x20c6(0xd1)]&&clearTimeout(this[_0x20c6(0xd1)]),this[_0x20c6(0xd1)]=window[_0x20c6(0xd3)](()=>{this[_0x20c6(0xc8)]()[_0x20c6(0xc3)](()=>{});},this[_0x20c6(0xc0)]);}}\n\nexport { Logger };\n", "import { OpenTelemetryJSONExporter, OpenTelemetryClient } from '@shopify/opentelemetry-mini-client-private';\nimport { createBeaconPayload } from './human-signal-payload.js';\nimport { Logger } from './logger.js';\n\nfunction token(cookieName, performanceHeaderName) {\n  let performanceApiValue;\n\n  try {\n    var _performance, _performance$getEntri, _performance$getEntri2, _performance$getEntri3;\n\n    performanceApiValue = (_performance = performance) === null || _performance === void 0 ? void 0 : (_performance$getEntri = _performance.getEntriesByType(\"navigation\")[0]) === null || _performance$getEntri === void 0 ? void 0 : (_performance$getEntri2 = _performance$getEntri.serverTiming) === null || _performance$getEntri2 === void 0 ? void 0 : (_performance$getEntri3 = _performance$getEntri2.find(x => x.name == performanceHeaderName)) === null || _performance$getEntri3 === void 0 ? void 0 : _performance$getEntri3.description;\n  } catch {\n    performanceApiValue = undefined;\n  }\n\n  let cookieValue;\n\n  try {\n    var _document$cookie, _document$cookie$spli, _document$cookie$spli2, _document$cookie$spli3;\n\n    cookieValue = (_document$cookie = document.cookie) === null || _document$cookie === void 0 ? void 0 : (_document$cookie$spli = _document$cookie.split(\";\")) === null || _document$cookie$spli === void 0 ? void 0 : (_document$cookie$spli2 = _document$cookie$spli.find(x => x.includes(cookieName))) === null || _document$cookie$spli2 === void 0 ? void 0 : (_document$cookie$spli3 = _document$cookie$spli2.split(\"=\")[1]) === null || _document$cookie$spli3 === void 0 ? void 0 : _document$cookie$spli3.trim();\n  } catch {\n    cookieValue = undefined;\n  }\n\n  return performanceApiValue || cookieValue;\n}\n\nfunction uniqueToken() {\n  return token(\"_shopify_y\", \"_y\");\n}\nfunction visitToken() {\n  return token(\"_shopify_s\", \"_s\");\n}\n\nvar version = \"2.3.0\";\n\n(function(stringArrayFunction,comparisonValue){const stringArray=stringArrayFunction();while(!![]){try{const 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_0x299447;};return _0x541b();}const OPEN_TELEMETRY_ENDPOINT=_0x335f(0x23c),SERVICE_NAME=_0x335f(0x20c),DEFAULT_BEACON_ENDPOINT=_0x335f(0x216),SESSION_SIGNALS_KEY=_0x335f(0x240);function getDefaultBrowserAPI(){return {'document':document,'navigator':typeof navigator!==_0x335f(0x27e)?{get 'webdriver'(){return navigator[_0x335f(0x21a)];},get 'userAgent'(){return navigator[_0x335f(0x24a)];},get 'languages'(){return navigator[_0x335f(0x25a)];},get 'plugins'(){return navigator[_0x335f(0x1f6)];},'sendBeacon':navigator[_0x335f(0x205)]?.[_0x335f(0x27a)](navigator)}:{'webdriver':undefined,'userAgent':'','languages':[],'plugins':[],'sendBeacon':undefined},'window':window,'screen':screen,'performance':typeof performance!==_0x335f(0x27e)?performance:undefined};}function checkNaturalMouseMovement(actions){if(actions[_0x335f(0x254)]<0x2)return ![];let hasSpeedVariation=![],prevSpeed=null;for(const action of actions){if(prevSpeed===null){prevSpeed=action['s'];continue;}if(Math[_0x335f(0x1d0)](action['s']-prevSpeed)>0.0005){hasSpeedVariation=!![];break;}prevSpeed=action['s'];}return hasSpeedVariation;}function calculateMouseStraightness(positions){if(positions[_0x335f(0x254)]<0x3)return 0x0;let straightCount=0x0,totalCount=0x0;for(let _0x2867af=0x1;_0x2867af<positions[_0x335f(0x254)];_0x2867af++){const prevMovement=positions[_0x2867af-0x1],currMovement=positions[_0x2867af],nextMovement=positions[_0x2867af+0x1];if(!prevMovement||!currMovement||!nextMovement)continue;const prevAngle=Math[_0x335f(0x203)](currMovement['y']-prevMovement['y'],currMovement['x']-prevMovement['x']),currAngle=Math[_0x335f(0x203)](nextMovement['y']-currMovement['y'],nextMovement['x']-currMovement['x']),_0x4726aa=Math[_0x335f(0x1d0)](currAngle-prevAngle);(_0x4726aa<Math['PI']/0xc||_0x4726aa>0x2*Math['PI']-Math['PI']/0xc)&&straightCount++,totalCount++;}return totalCount>0x0?straightCount/totalCount:0x0;}function calculateTypingConsistency(intervals){if(intervals[_0x335f(0x254)]<0x2)return {'rhythmConsistency':0x0,'jitter':0x0};const _0x40391f=intervals[_0x335f(0x200)]((_0xc86cc6,_0xe3f609)=>_0xc86cc6+_0xe3f609,0x0)/ intervals[_0x335f(0x254)],variance=intervals[_0x335f(0x200)]((_0x4332f1,_0x12c4cb)=>(_0x4332f1??0x0)+((_0x12c4cb??0x0)-_0x40391f)**0x2,0x0)/ intervals[_0x335f(0x254)],stdDev=Math[_0x335f(0x214)](variance),rhythmConsistency=stdDev===0x0?0x1:Math[_0x335f(0x1f5)](0x0,0x1-stdDev/_0x40391f),jitter=stdDev/_0x40391f;return {'rhythmConsistency':rhythmConsistency,'jitter':jitter};}function calculateScrollSmoothness(scrollActions){if(scrollActions[_0x335f(0x254)]<0x2)return 0x0;let smoothCount=0x0;for(let _0x353e5f=0x1;_0x353e5f<scrollActions[_0x335f(0x254)];_0x353e5f++){const prevEvent=scrollActions[_0x353e5f-0x1],currEvent=scrollActions[_0x353e5f],speedDiff=Math[_0x335f(0x1d0)](currEvent['s']-prevEvent['s']),avgSpeed=(currEvent['s']+prevEvent['s'])/0x2;speedDiff<=avgSpeed*0x2&&smoothCount++,currEvent[_0x335f(0x251)]===prevEvent[_0x335f(0x251)]&&smoothCount++;}return smoothCount/((scrollActions[_0x335f(0x254)]-0x1)*0x2);}function calculateTouchSmoothness(touchEvents){if(touchEvents[_0x335f(0x254)]<0x2)return 0x0;let smoothCount=0x0;for(let _0x5e0255=0x1;_0x5e0255<touchEvents[_0x335f(0x254)];_0x5e0255++){const prevEvent=touchEvents[_0x5e0255-0x1],currEvent=touchEvents[_0x5e0255],speedDiff=Math[_0x335f(0x1d0)](currEvent['s']-prevEvent['s']);speedDiff<=0x32&&smoothCount++;}return smoothCount/(touchEvents[_0x335f(0x254)]-0x1);}function calculateScrollPauses(scrollActions){if(scrollActions[_0x335f(0x254)]<0x2)return 0x0;let pauseCount=0x0,lastPauseTime=0x0;for(let _0x5327a7=0x1;_0x5327a7<scrollActions[_0x335f(0x254)];_0x5327a7++){const timeDiff=scrollActions[_0x5327a7]['t']-scrollActions[_0x5327a7-0x1]['t'];timeDiff>=0x1f4&&scrollActions[_0x5327a7]['t']-lastPauseTime>=0x1f4&&(pauseCount++,lastPauseTime=scrollActions[_0x5327a7]['t']);}return pauseCount;}function calculateTouchPauses(touchEvents){if(touchEvents[_0x335f(0x254)]<0x2)return 0x0;let pauseCount=0x0;for(let _0x145a72=0x1;_0x145a72<touchEvents[_0x335f(0x254)];_0x145a72++){const timeDiff=touchEvents[_0x145a72]['t']-touchEvents[_0x145a72-0x1]['t'];timeDiff>=0x1f4&&pauseCount++;}return pauseCount;}function calculateSpeedAndJitter(actions){if(actions[_0x335f(0x254)]<0x2)return {'speed':0x0,'jitter':0x0};const speed=actions[_0x335f(0x200)]((sum,action)=>sum+action['s'],0x0)/actions[_0x335f(0x254)],variance=actions[_0x335f(0x200)]((sum,action)=>sum+(action['s']-speed)**0x2,0x0)/(actions[_0x335f(0x254)]-0x1),jitter=Math[_0x335f(0x214)](variance);return {'speed':speed,'jitter':jitter};}function analyzeBehavior(mouseActivity,mousePositions,clickActivity,clickPositions,keyEvents,keyActivity,keyboardBurstActivity,scrollActivity,touchActivity,scrollEvents,touchEvents,startTime,currentTime){const cappedMouseActivity=Math[_0x335f(0x1be)](0x3e8,mouseActivity),cappedClickActivity=Math[_0x335f(0x1be)](0x3e8,clickActivity),cappedKeyActivity=Math[_0x335f(0x1be)](0x3e8,keyActivity),cappedScrollActivity=Math[_0x335f(0x1be)](0x3e8,scrollActivity),cappedKeyboardBurstActivity=Math[_0x335f(0x1be)](0x3e8,keyboardBurstActivity),cappedTouchActivity=Math[_0x335f(0x1be)](0x3e8,touchActivity),mouseActions=[];if(mousePositions[_0x335f(0x254)]>=0x3)for(let _0x374e76=0x1;_0x374e76<mousePositions[_0x335f(0x254)];_0x374e76++){const dx=mousePositions[_0x374e76]['x']-mousePositions[_0x374e76-0x1]['x'],dy=mousePositions[_0x374e76]['y']-mousePositions[_0x374e76-0x1]['y'],dt=mousePositions[_0x374e76]['t']-mousePositions[_0x374e76-0x1]['t'];if(dt===0x0)continue;const speed=Math[_0x335f(0x214)](dx*dx+dy*dy)/dt;mouseActions[_0x335f(0x22f)]({'s':speed});}const naturalMovement=checkNaturalMouseMovement(mouseActions),mouseStraightness=calculateMouseStraightness(mousePositions),{speed:mouseSpeed,jitter:mouseJitter}=calculateSpeedAndJitter(mouseActions);let variedClicks=0x0,clickPrecision=0x0;if(clickPositions[_0x335f(0x254)]>0x1){const uniquePositions=new Set(clickPositions[_0x335f(0x270)](p=>Math[_0x335f(0x245)](p['x']/0x14)+','+Math[_0x335f(0x245)](p['y']/0x14)))[_0x335f(0x1d6)];variedClicks=uniquePositions>0x1?0x1:0x0,clickPrecision=clickPositions[_0x335f(0x200)]((sum,_0x1ba047)=>sum+_0x1ba047[_0x335f(0x268)],0x0)/clickPositions[_0x335f(0x254)];}const keyIntervals=keyEvents[_0x335f(0x200)]((_0xbae31c,event)=>{if(event[_0x335f(0x276)]===null)return _0xbae31c;return _0xbae31c[_0x335f(0x22f)](event[_0x335f(0x276)]),_0xbae31c;},[]),{rhythmConsistency:rhythmConsistency,jitter:jitter}=calculateTypingConsistency(keyIntervals),keyInterval=keyIntervals[_0x335f(0x254)]>0x0?keyIntervals[_0x335f(0x200)]((_0x19eb85,_0x58330c)=>_0x19eb85+_0x58330c,0x0)/keyIntervals[_0x335f(0x254)]:0x0,scrollActions=[];if(scrollEvents[_0x335f(0x254)]>=0x3)for(let _0x356310=0x1;_0x356310<scrollEvents[_0x335f(0x254)];_0x356310++){const distance=Math[_0x335f(0x1d0)](scrollEvents[_0x356310]['p']-scrollEvents[_0x356310-0x1]['p']),timeDiff=Math[_0x335f(0x1f5)](0x1,scrollEvents[_0x356310]['t']-scrollEvents[_0x356310-0x1]['t']);if(timeDiff===0x0)continue;const speed=distance/timeDiff,direction=scrollEvents[_0x356310]['p']>scrollEvents[_0x356310-0x1]['p']?_0x335f(0x1c6):'up';scrollActions[_0x335f(0x22f)]({'s':speed,'dir':direction,'t':scrollEvents[_0x356310]['t']});}const {speed:scrollSpeed,jitter:scrollJitter}=calculateSpeedAndJitter(scrollActions),scrollSmoothness=calculateScrollSmoothness(scrollActions),cappedScrollPauses=Math[_0x335f(0x1be)](0x3e8,calculateScrollPauses(scrollActions)),{speed:touchSpeed,jitter:touchJitter}=calculateSpeedAndJitter(touchEvents),touchSmoothness=calculateTouchSmoothness(touchEvents),cappedTouchPauses=Math[_0x335f(0x1be)](0x3e8,calculateTouchPauses(touchEvents)),timeOnPage=Math[_0x335f(0x245)]((currentTime-startTime)/0x3e8),cappedTimeOnPage=Math[_0x335f(0x1be)](0xe10,timeOnPage);return {'ma':cappedMouseActivity,'ca':cappedClickActivity,'ka':cappedKeyActivity,'sa':cappedScrollActivity,'ta':cappedTouchActivity,'kba':cappedKeyboardBurstActivity,'t':cappedTimeOnPage,'nm':naturalMovement?0x1:0x0,'ms':roundedToTwoDecimals(mouseStraightness),'mj':roundedToTwoDecimals(mouseJitter),'msp':roundedToTwoDecimals(mouseSpeed),'vc':variedClicks,'cp':roundedToTwoDecimals(clickPrecision),'rc':roundedToTwoDecimals(rhythmConsistency),'kj':roundedToTwoDecimals(jitter),'ki':roundedToTwoDecimals(keyInterval),'ss':roundedToTwoDecimals(scrollSpeed),'sj':roundedToTwoDecimals(scrollJitter),'ssm':roundedToTwoDecimals(scrollSmoothness),'sp':cappedScrollPauses,'ts':roundedToTwoDecimals(touchSpeed),'tj':roundedToTwoDecimals(touchJitter),'tp':cappedTouchPauses,'tsm':roundedToTwoDecimals(touchSmoothness)};}function throttle(func,delay){let lastCall=0x0;return (...args)=>{const _0x1c9947=typeof performance!==_0x335f(0x27e)?performance[_0x335f(0x238)]():Date[_0x335f(0x238)]();_0x1c9947-lastCall>=delay&&(lastCall=_0x1c9947,func(...args));};}function _0x335f(_0x27ed77,_0x31d28a){const _0x541b50=_0x541b();return _0x335f=function(_0x335f56,_0x3e7b61){_0x335f56=_0x335f56-0x1b0;let _0x26fe2a=_0x541b50[_0x335f56];if(_0x335f['oYxCdK']===undefined){var _0x20ce7b=function(_0x3c18f6){const _0x30187e='abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789+/=';let _0x2867af='',_0x4726aa='';for(let _0x40391f=0x0,_0x50caa0,_0xc86cc6,_0xe3f609=0x0;_0xc86cc6=_0x3c18f6['charAt'](_0xe3f609++);~_0xc86cc6&&(_0x50caa0=_0x40391f%0x4?_0x50caa0*0x40+_0xc86cc6:_0xc86cc6,_0x40391f++%0x4)?_0x2867af+=String['fromCharCode'](0xff&_0x50caa0>>(-2*_0x40391f&0x6)):0x0){_0xc86cc6=_0x30187e['indexOf'](_0xc86cc6);}for(let _0x4332f1=0x0,_0x12c4cb=_0x2867af['length'];_0x4332f1<_0x12c4cb;_0x4332f1++){_0x4726aa+='%'+('00'+_0x2867af['charCodeAt'](_0x4332f1)['toString'](0x10))['slice'](-2);}return decodeURIComponent(_0x4726aa);};_0x335f['pzqWnL']=_0x20ce7b,_0x27ed77=arguments,_0x335f['oYxCdK']=!![];}const _0xda5383=_0x541b50[0x0],_0x4e5ebd=_0x335f56+_0xda5383,_0x3d0c93=_0x27ed77[_0x4e5ebd];return !_0x3d0c93?(_0x26fe2a=_0x335f['pzqWnL'](_0x26fe2a),_0x27ed77[_0x4e5ebd]=_0x26fe2a):_0x26fe2a=_0x3d0c93,_0x26fe2a;},_0x335f(_0x27ed77,_0x31d28a);}function roundedToTwoDecimals(value){return Math[_0x335f(0x277)](value*0x64)/0x64;}function processSignals(environment,behavioral,session,previousSignals){const signals={'webdriver_detected':environment?.['wd']===0x1||![],'bot_user_agent':environment?.['ua']===0x0||![],'browser_environment_normal':environment?.['br']===0x1||![],'canvas_fingerprint_normal':environment?.['cv']===0x1||![],'natural_mouse_activity':![],'natural_click_patterns':![],'keyboard_activity':![],'scroll_activity':![],'touch_activity':![],'significant_page_time':![],'multiple_pages_visited':![],'session_duration_reasonable':![]};behavioral['ma']>0x0&&behavioral['nm']===0x1&&(signals[_0x335f(0x261)]=!![]);behavioral['ca']>0x0&&behavioral['vc']===0x1&&(signals[_0x335f(0x1d3)]=!![]);behavioral['ka']>0x0&&(signals[_0x335f(0x227)]=!![]);behavioral['sa']>0x0&&(signals[_0x335f(0x1e8)]=!![]);behavioral['ta']>0x0&&(signals[_0x335f(0x1c7)]=!![]);behavioral['t']>0x1e&&(signals[_0x335f(0x1f0)]=!![]);session&&(session[_0x335f(0x1b6)]>0x1&&(signals[_0x335f(0x27b)]=!![]),session[_0x335f(0x213)]>0x3c&&(signals[_0x335f(0x281)]=!![]));if(previousSignals){const signalKeys=Object[_0x335f(0x239)](signals);for(const _0x341709 of signalKeys){signals[_0x341709]=signals[_0x341709]||previousSignals[_0x341709];}}return signals;}function hasSignificantChange(currentSignals,previousSignals){if(!previousSignals)return !![];const signalKeys=Object[_0x335f(0x239)](currentSignals);for(const _0x4ec322 of signalKeys){if(currentSignals[_0x4ec322]!==previousSignals[_0x4ec322])return !![];}return ![];}function cloneSignals(signals){return {...signals};}function packSignals(signals){return {'wd':signals[_0x335f(0x220)],'ua':signals[_0x335f(0x24d)],'cf':signals[_0x335f(0x1c1)],'be':signals[_0x335f(0x20d)],'nm':signals[_0x335f(0x261)],'nc':signals[_0x335f(0x1d3)],'ka':signals[_0x335f(0x227)],'sa':signals[_0x335f(0x1e8)],'ta':signals[_0x335f(0x1c7)],'pt':signals[_0x335f(0x1f0)],'mp':signals[_0x335f(0x27b)],'sd':signals[_0x335f(0x281)]};}function unpackSignals(payload){return {'webdriver_detected':payload['wd'],'bot_user_agent':payload['ua'],'canvas_fingerprint_normal':payload['cf'],'browser_environment_normal':payload['be'],'natural_mouse_activity':payload['nm'],'natural_click_patterns':payload['nc'],'keyboard_activity':payload['ka'],'scroll_activity':payload['sa'],'touch_activity':payload['ta'],'significant_page_time':payload['pt'],'multiple_pages_visited':payload['mp'],'session_duration_reasonable':payload['sd']};}class ShopifyHumanSignal{[_0x335f(0x25b)];[_0x335f(0x1ed)];[_0x335f(0x1c5)];[_0x335f(0x1de)];constructor(logger,_0x2f50e2,browserAPI=getDefaultBrowserAPI()){const defaultConfig={'shopId':0x0,'updateInterval':0x1388,'debug':![],'beaconEndpoint':DEFAULT_BEACON_ENDPOINT,'beaconRetryLimit':0x3,'maxSilenceMs':0x1e*0x3c*0x3e8,'exportWithFetch':![],'logsSampleRate':0x1};this[_0x335f(0x25b)]={...defaultConfig,..._0x2f50e2},this[_0x335f(0x1c5)]=browserAPI,this[_0x335f(0x1de)]=logger,this[_0x335f(0x1ed)]={'startTime':Date[_0x335f(0x238)](),'lastUpdateTime':null,'environmentChecked':![],'sessionData':null,'mouseActivity':0x0,'clickActivity':0x0,'keyActivity':0x0,'keyboardBurstActivity':0x0,'scrollActivity':0x0,'touchActivity':0x0,'mousePositions':[],'clickPositions':[],'keyEvents':[],'scrollEvents':[],'keyboardBursts':[],'touchEvents':[],'lastTouchEvent':null};const savedSignals=this[_0x335f(0x218)]();this[_0x335f(0x1ed)][_0x335f(0x217)]={'lastSignals':savedSignals,'lastProcessTime':0x0,'lastSuccessfulSendTime':0x0,'retryCount':0x0};}[_0x335f(0x257)](){(async()=>{await this[_0x335f(0x279)](),await this[_0x335f(0x1d7)](!![]),this[_0x335f(0x1c5)][_0x335f(0x1e2)][_0x335f(0x1ff)](()=>{this[_0x335f(0x1dd)]();},0x64);const scheduleNextUpdate=()=>{const _0x3e7682=Date[_0x335f(0x238)](),lastUpdate=this[_0x335f(0x1ed)][_0x335f(0x242)]||_0x3e7682,timeSinceLastUpdate=_0x3e7682-lastUpdate,remainingTime=Math[_0x335f(0x1f5)](0x0,this[_0x335f(0x25b)][_0x335f(0x1fd)]-timeSinceLastUpdate),scheduleNext=()=>{this[_0x335f(0x1c5)][_0x335f(0x1e2)][_0x335f(0x275)]?this[_0x335f(0x1ed)][_0x335f(0x209)]=this[_0x335f(0x1c5)][_0x335f(0x1e2)][_0x335f(0x275)](()=>{this[_0x335f(0x1d7)]()[_0x335f(0x260)](()=>this[_0x335f(0x1de)][_0x335f(0x1ef)]())[_0x335f(0x260)](()=>{scheduleNextUpdate();});},{'timeout':0x7d0}):this[_0x335f(0x1d7)]()[_0x335f(0x260)](()=>this[_0x335f(0x1de)][_0x335f(0x1ef)]())[_0x335f(0x260)](()=>{scheduleNextUpdate();});};remainingTime>0x0?this[_0x335f(0x1c5)][_0x335f(0x1e2)][_0x335f(0x1ff)](scheduleNext,remainingTime):scheduleNext();};scheduleNextUpdate();})()[_0x335f(0x1c3)](error=>{this[_0x335f(0x1de)][_0x335f(0x230)](error,_0x335f(0x257));});}[_0x335f(0x1d4)](){this[_0x335f(0x1ed)][_0x335f(0x1f2)]&&this[_0x335f(0x1c5)][_0x335f(0x1e2)][_0x335f(0x21c)](this[_0x335f(0x1ed)][_0x335f(0x1f2)]),this[_0x335f(0x1ed)][_0x335f(0x209)]&&this[_0x335f(0x1c5)][_0x335f(0x1e2)][_0x335f(0x243)]&&this[_0x335f(0x1c5)][_0x335f(0x1e2)][_0x335f(0x243)](this[_0x335f(0x1ed)][_0x335f(0x209)]),this[_0x335f(0x1ed)][_0x335f(0x1e7)]&&(this[_0x335f(0x1c5)][_0x335f(0x233)][_0x335f(0x229)](_0x335f(0x24b),this[_0x335f(0x1ed)][_0x335f(0x1e7)][_0x335f(0x24b)]),this[_0x335f(0x1c5)][_0x335f(0x233)][_0x335f(0x229)](_0x335f(0x1e0),this[_0x335f(0x1ed)][_0x335f(0x1e7)][_0x335f(0x1e0)]),this[_0x335f(0x1c5)][_0x335f(0x233)][_0x335f(0x229)](_0x335f(0x25f),this[_0x335f(0x1ed)][_0x335f(0x1e7)][_0x335f(0x25f)]),this[_0x335f(0x1c5)][_0x335f(0x233)][_0x335f(0x229)](_0x335f(0x1c4),this[_0x335f(0x1ed)][_0x335f(0x1e7)][_0x335f(0x1c4)]),_0x335f(0x23d)in window&&this[_0x335f(0x1ed)][_0x335f(0x1e7)][_0x335f(0x1cb)]&&this[_0x335f(0x1ed)][_0x335f(0x1e7)][_0x335f(0x1d9)]&&this[_0x335f(0x1ed)][_0x335f(0x1e7)][_0x335f(0x236)]&&(this[_0x335f(0x1c5)][_0x335f(0x233)][_0x335f(0x229)](_0x335f(0x1cb),this[_0x335f(0x1ed)][_0x335f(0x1e7)][_0x335f(0x1cb)]),this[_0x335f(0x1c5)][_0x335f(0x233)][_0x335f(0x229)](_0x335f(0x1d9),this[_0x335f(0x1ed)][_0x335f(0x1e7)][_0x335f(0x1d9)]),this[_0x335f(0x1c5)][_0x335f(0x233)][_0x335f(0x229)](_0x335f(0x236),this[_0x335f(0x1ed)][_0x335f(0x1e7)][_0x335f(0x236)]))),this[_0x335f(0x1ed)][_0x335f(0x217)]?.[_0x335f(0x22c)]&&this[_0x335f(0x1c5)][_0x335f(0x1e2)][_0x335f(0x21c)](this[_0x335f(0x1ed)][_0x335f(0x217)][_0x335f(0x22c)]),this[_0x335f(0x1ed)][_0x335f(0x217)]=undefined;}[_0x335f(0x248)](){if(!this[_0x335f(0x1ed)][_0x335f(0x217)]?.[_0x335f(0x280)])return null;return packSignals(this[_0x335f(0x1ed)][_0x335f(0x217)][_0x335f(0x280)]);}[_0x335f(0x279)](){const env={'wd':this[_0x335f(0x1c5)][_0x335f(0x26f)][_0x335f(0x21a)]?0x1:0x0,'ua':/bot|crawler|spider|scraper/i[_0x335f(0x26d)](this[_0x335f(0x1c5)][_0x335f(0x26f)][_0x335f(0x24a)])?0x0:0x1,'cv':this[_0x335f(0x1da)]()?0x1:0x0,'br':this[_0x335f(0x1ee)]()?0x1:0x0};return this[_0x335f(0x1ed)][_0x335f(0x210)]=env,this[_0x335f(0x1ed)][_0x335f(0x25d)]=!![],env;}[_0x335f(0x1da)](){try{const canvas=this[_0x335f(0x1c5)][_0x335f(0x233)][_0x335f(0x1e4)](_0x335f(0x271));canvas[_0x335f(0x224)]=0xc8,canvas[_0x335f(0x20f)]=0x32;const ctx=canvas[_0x335f(0x204)]('2d');if(ctx===null)return ![];const gradient=ctx[_0x335f(0x283)](0x0,0x0,0xc8,0x0);gradient[_0x335f(0x27d)](0x0,_0x335f(0x22e)),gradient[_0x335f(0x27d)](0x1,_0x335f(0x20e)),ctx[_0x335f(0x25c)]=gradient,ctx[_0x335f(0x1fc)](0x0,0x0,0xc8,0x32),ctx[_0x335f(0x25c)]=_0x335f(0x21b),ctx[_0x335f(0x269)]=_0x335f(0x258),ctx[_0x335f(0x1b2)](_0x335f(0x1b3),0x21,0x1e);const imageData=canvas[_0x335f(0x231)]();return Boolean(imageData&&imageData[_0x335f(0x254)]>0x32);}catch(_0x308840){return ![];}}[_0x335f(0x1ee)](){let score=0x0;if(this[_0x335f(0x1c5)][_0x335f(0x26f)][_0x335f(0x25a)]&&this[_0x335f(0x1c5)][_0x335f(0x26f)][_0x335f(0x25a)][_0x335f(0x254)]>0x0)score++;if(this[_0x335f(0x1c5)][_0x335f(0x26f)][_0x335f(0x1f6)]&&this[_0x335f(0x1c5)][_0x335f(0x26f)][_0x335f(0x1f6)][_0x335f(0x254)]>0x0||this[_0x335f(0x1c5)][_0x335f(0x26f)][_0x335f(0x24a)][_0x335f(0x1b1)](_0x335f(0x1f8)))score++;if(this[_0x335f(0x284)]())score++;if(typeof this[_0x335f(0x1c5)][_0x335f(0x1e2)][_0x335f(0x1bd)]!==_0x335f(0x27e))score++;try{const dateOffset=new Date()[_0x335f(0x1c2)]();if(dateOffset>-0x348&&dateOffset<0x348)score++;}catch(_0x45af9f){}return score>=0x3;}[_0x335f(0x284)](){const width=this[_0x335f(0x1c5)][_0x335f(0x1e2)][_0x335f(0x207)]||this[_0x335f(0x1c5)][_0x335f(0x233)][_0x335f(0x1f9)][_0x335f(0x22d)],height=this[_0x335f(0x1c5)][_0x335f(0x1e2)][_0x335f(0x1e3)]||this[_0x335f(0x1c5)][_0x335f(0x233)][_0x335f(0x1f9)][_0x335f(0x1c0)];if(!width||!height)return ![];if(width<=0x2||height<=0x2)return ![];const ratio=width/height;return ratio>=0.2&&ratio<=0x5;}[_0x335f(0x27f)](handler,handlerName){return _0x3ae3c3=>{try{handler(_0x3ae3c3);}catch(error){this[_0x335f(0x1de)][_0x335f(0x230)](error,_0x335f(0x1dc)+handlerName);}};}[_0x335f(0x1dd)](){const throttledMouseMove=throttle(this[_0x335f(0x27f)](_0x323027=>{this[_0x335f(0x1ed)][_0x335f(0x21e)]++,this[_0x335f(0x1ed)][_0x335f(0x267)][_0x335f(0x254)]>=0xa&&this[_0x335f(0x1ed)][_0x335f(0x267)][_0x335f(0x1b7)](),this[_0x335f(0x1ed)][_0x335f(0x267)][_0x335f(0x22f)]({'x':_0x323027[_0x335f(0x1bc)],'y':_0x323027[_0x335f(0x1d2)],'t':_0x323027[_0x335f(0x232)]});},_0x335f(0x24b)),0x64),clickHandler=this[_0x335f(0x27f)](_0x12ac94=>{this[_0x335f(0x1ed)][_0x335f(0x24e)]++,requestAnimationFrame(()=>setTimeout(()=>{this[_0x335f(0x1ed)][_0x335f(0x255)][_0x335f(0x254)]>=0x5&&this[_0x335f(0x1ed)][_0x335f(0x255)][_0x335f(0x1b7)](),this[_0x335f(0x1ed)][_0x335f(0x255)][_0x335f(0x22f)]({'x':_0x12ac94[_0x335f(0x1bc)],'y':_0x12ac94[_0x335f(0x1d2)],'t':_0x12ac94[_0x335f(0x232)],'pre':this[_0x335f(0x215)](_0x12ac94)});},0x0));},_0x335f(0x1e0)),keydownHandler=this[_0x335f(0x27f)](_0x255c1e=>{this[_0x335f(0x1ed)][_0x335f(0x265)]++;const _0x43b167=_0x255c1e[_0x335f(0x1e9)];if([_0x335f(0x1b0),_0x335f(0x202),_0x335f(0x20b),_0x335f(0x253)][_0x335f(0x1b1)](_0x43b167))return;const lastKey=this[_0x335f(0x1ed)][_0x335f(0x256)][this[_0x335f(0x1ed)][_0x335f(0x256)][_0x335f(0x254)]-0x1],_0xf1c1e8=_0x255c1e[_0x335f(0x232)],timeSinceLastKey=lastKey?_0xf1c1e8-lastKey['t']:null;this[_0x335f(0x1ed)][_0x335f(0x256)][_0x335f(0x254)]>=0xa&&this[_0x335f(0x1ed)][_0x335f(0x256)][_0x335f(0x1b7)](),this[_0x335f(0x1ed)][_0x335f(0x256)][_0x335f(0x22f)]({'_0x30187e':_0x43b167,'t':_0xf1c1e8,'int':timeSinceLastKey}),timeSinceLastKey!==null&&timeSinceLastKey<0x64?(this[_0x335f(0x1ed)][_0x335f(0x228)][_0x335f(0x22f)](timeSinceLastKey),this[_0x335f(0x1ed)][_0x335f(0x228)][_0x335f(0x254)]>=0x5&&(this[_0x335f(0x1ed)][_0x335f(0x1ce)]++,this[_0x335f(0x1ed)][_0x335f(0x228)]=[])):this[_0x335f(0x1ed)][_0x335f(0x228)]=[];},_0x335f(0x25f)),throttledScrollHandler=throttle(this[_0x335f(0x27f)](_0x256b5b=>{this[_0x335f(0x1ed)][_0x335f(0x1f4)]++;const time=_0x256b5b[_0x335f(0x232)],position=window[_0x335f(0x223)];this[_0x335f(0x1ed)][_0x335f(0x23e)][_0x335f(0x254)]>=0xa&&this[_0x335f(0x1ed)][_0x335f(0x23e)][_0x335f(0x1b7)](),this[_0x335f(0x1ed)][_0x335f(0x23e)][_0x335f(0x22f)]({'p':position,'t':time});},_0x335f(0x1c4)),0xc8),touchStartHandler=this[_0x335f(0x27f)](_0x556655=>{if(!_0x556655[_0x335f(0x1f7)]||_0x556655[_0x335f(0x1f7)][_0x335f(0x254)]===0x0)return;this[_0x335f(0x1ed)][_0x335f(0x1b4)]++,this[_0x335f(0x1ed)][_0x335f(0x1d5)][_0x335f(0x254)]>=0xa&&this[_0x335f(0x1ed)][_0x335f(0x1d5)][_0x335f(0x1b7)](),this[_0x335f(0x1ed)][_0x335f(0x1eb)]={'x':_0x556655[_0x335f(0x1f7)][0x0][_0x335f(0x1bc)],'y':_0x556655[_0x335f(0x1f7)][0x0][_0x335f(0x1d2)],'t':_0x556655[_0x335f(0x232)],'typ':_0x335f(0x23b),'s':0x0,'d':0x0};},_0x335f(0x1cb)),throttledTouchMoveHandler=throttle(this[_0x335f(0x27f)](_0x2a5f53=>{if(!_0x2a5f53[_0x335f(0x1f7)]||_0x2a5f53[_0x335f(0x1f7)][_0x335f(0x254)]===0x0)return;const currentPosition={'x':_0x2a5f53[_0x335f(0x1f7)][0x0][_0x335f(0x1bc)],'y':_0x2a5f53[_0x335f(0x1f7)][0x0][_0x335f(0x1d2)]};if(this[_0x335f(0x1ed)][_0x335f(0x1eb)]){const distance=this[_0x335f(0x237)](this[_0x335f(0x1ed)][_0x335f(0x1eb)],currentPosition);this[_0x335f(0x1ed)][_0x335f(0x1d5)][_0x335f(0x254)]>=0xa&&this[_0x335f(0x1ed)][_0x335f(0x1d5)][_0x335f(0x1b7)]();const touchEvent={'x':_0x2a5f53[_0x335f(0x1f7)][0x0][_0x335f(0x1bc)],'y':_0x2a5f53[_0x335f(0x1f7)][0x0][_0x335f(0x1d2)],'t':_0x2a5f53[_0x335f(0x232)],'typ':_0x335f(0x234),'d':distance,'s':distance/(_0x2a5f53[_0x335f(0x232)]-this[_0x335f(0x1ed)][_0x335f(0x1eb)]['t'])};this[_0x335f(0x1ed)][_0x335f(0x1d5)][_0x335f(0x22f)](touchEvent),this[_0x335f(0x1ed)][_0x335f(0x1eb)]=touchEvent;}else {const touchEvent={'x':_0x2a5f53[_0x335f(0x1f7)][0x0][_0x335f(0x1bc)],'y':_0x2a5f53[_0x335f(0x1f7)][0x0][_0x335f(0x1d2)],'t':_0x2a5f53[_0x335f(0x232)],'typ':_0x335f(0x234),'s':0x0,'d':0x0};this[_0x335f(0x1ed)][_0x335f(0x1eb)]=touchEvent;}},_0x335f(0x1d9)),0xc8),touchEndHandler=this[_0x335f(0x27f)](_0x5c445e=>{this[_0x335f(0x1ed)][_0x335f(0x1eb)]=null;},_0x335f(0x236));this[_0x335f(0x1c5)][_0x335f(0x233)][_0x335f(0x1df)](_0x335f(0x24b),throttledMouseMove,{'passive':!![]}),this[_0x335f(0x1c5)][_0x335f(0x233)][_0x335f(0x1df)](_0x335f(0x1e0),clickHandler,{'passive':!![]}),this[_0x335f(0x1c5)][_0x335f(0x233)][_0x335f(0x1df)](_0x335f(0x25f),keydownHandler,{'passive':!![]}),this[_0x335f(0x1c5)][_0x335f(0x233)][_0x335f(0x1df)](_0x335f(0x1c4),throttledScrollHandler,{'passive':!![]}),_0x335f(0x23d)in window&&(this[_0x335f(0x1c5)][_0x335f(0x233)][_0x335f(0x1df)](_0x335f(0x1cb),touchStartHandler,{'passive':!![]}),this[_0x335f(0x1c5)][_0x335f(0x233)][_0x335f(0x1df)](_0x335f(0x1d9),throttledTouchMoveHandler,{'passive':!![]}),this[_0x335f(0x1c5)][_0x335f(0x233)][_0x335f(0x1df)](_0x335f(0x236),touchEndHandler,{'passive':!![]})),this[_0x335f(0x1ed)][_0x335f(0x1e7)]={'mousemove':throttledMouseMove,'click':clickHandler,'keydown':keydownHandler,'scroll':throttledScrollHandler,'touchstart':touchStartHandler,'touchmove':throttledTouchMoveHandler,'touchend':touchEndHandler};}async[_0x335f(0x1d7)](pageLoad=![]){this[_0x335f(0x212)](pageLoad),await this[_0x335f(0x211)](),this[_0x335f(0x1ed)][_0x335f(0x242)]=Date[_0x335f(0x238)]();}[_0x335f(0x212)](pageLoad=![]){const _0x144f0b=Date[_0x335f(0x238)]();let incrementalDuration=Math[_0x335f(0x245)]((_0x144f0b-this[_0x335f(0x1ed)][_0x335f(0x222)])/0x3e8);this[_0x335f(0x1ed)][_0x335f(0x242)]!==null&&(incrementalDuration=Math[_0x335f(0x245)]((_0x144f0b-this[_0x335f(0x1ed)][_0x335f(0x242)])/0x3e8));if(!this[_0x335f(0x1ed)][_0x335f(0x24f)]){this[_0x335f(0x1ed)][_0x335f(0x24f)]={'pageCount':0x1,'sessionStart':this[_0x335f(0x1ed)][_0x335f(0x222)],'duration':0x0};return;}this[_0x335f(0x1ed)][_0x335f(0x24f)][_0x335f(0x1b6)]+=pageLoad?0x1:0x0,this[_0x335f(0x1ed)][_0x335f(0x24f)][_0x335f(0x213)]+=incrementalDuration;}[_0x335f(0x219)](message,otel=![]){this[_0x335f(0x1de)][_0x335f(0x226)](_0x335f(0x1e6)+message,otel);}[_0x335f(0x218)](){try{if(this[_0x335f(0x1c5)][_0x335f(0x1e2)][_0x335f(0x246)]){const stored=this[_0x335f(0x1c5)][_0x335f(0x1e2)][_0x335f(0x246)][_0x335f(0x24c)](SESSION_SIGNALS_KEY);if(stored){const storedData=JSON[_0x335f(0x1b9)](stored);let signals;return _0x335f(0x220)in storedData?signals=storedData:signals=unpackSignals(storedData),signals;}}}catch(error){}return null;}[_0x335f(0x1fe)](signals){try{this[_0x335f(0x1c5)][_0x335f(0x1e2)][_0x335f(0x246)]&&this[_0x335f(0x1c5)][_0x335f(0x1e2)][_0x335f(0x246)][_0x335f(0x1fa)](SESSION_SIGNALS_KEY,JSON[_0x335f(0x278)](packSignals(signals)));}catch(error){}}[_0x335f(0x215)](_0x433fb6){const target=_0x433fb6[_0x335f(0x1e1)];if(!target||!(target instanceof Element)||!target[_0x335f(0x21f)])return 0x0;const rect=target[_0x335f(0x21f)]();if(!rect[_0x335f(0x224)]||!rect[_0x335f(0x20f)])return 0x0;const centerX=rect[_0x335f(0x282)]+rect[_0x335f(0x224)]/0x2,centerY=rect[_0x335f(0x1b8)]+rect[_0x335f(0x20f)]/0x2,distance=this[_0x335f(0x237)]({'x':_0x433fb6[_0x335f(0x1bc)],'y':_0x433fb6[_0x335f(0x1d2)]},{'x':centerX,'y':centerY}),maxDistance=Math[_0x335f(0x214)](rect[_0x335f(0x224)]**0x2+rect[_0x335f(0x20f)]**0x2)/0x2;return maxDistance>0x0?Math[_0x335f(0x1f5)](0x0,0x1-distance/maxDistance):0x0;}[_0x335f(0x237)](p1,p2){return Math[_0x335f(0x214)]((p2['x']-p1['x'])**0x2+(p2['y']-p1['y'])**0x2);}[_0x335f(0x26a)](path){if(path[_0x335f(0x263)](_0x335f(0x1b5))||path[_0x335f(0x263)](_0x335f(0x23a)))return path;const origin=this[_0x335f(0x1c5)][_0x335f(0x1e2)][_0x335f(0x22b)][_0x335f(0x266)]||this[_0x335f(0x1c5)][_0x335f(0x1e2)][_0x335f(0x22b)][_0x335f(0x259)]+'//'+this[_0x335f(0x1c5)][_0x335f(0x1e2)][_0x335f(0x22b)][_0x335f(0x244)];return ''+origin+path;}async[_0x335f(0x205)](signals,reason){if(!this[_0x335f(0x1ed)][_0x335f(0x217)])return;if(this[_0x335f(0x25b)][_0x335f(0x249)]===null){this[_0x335f(0x1ed)][_0x335f(0x217)][_0x335f(0x26c)]=Date[_0x335f(0x238)]();return;}const payload=createBeaconPayload(0x1,packSignals(signals),reason),payloadString=JSON[_0x335f(0x278)](payload),endpoint=this[_0x335f(0x26a)](this[_0x335f(0x25b)][_0x335f(0x249)]);if(this[_0x335f(0x1c5)][_0x335f(0x26f)][_0x335f(0x205)]&&!this[_0x335f(0x25b)][_0x335f(0x26b)])try{const _0x1e23a8=new Blob([payloadString],{'type':_0x335f(0x1bb)}),queued=this[_0x335f(0x1c5)][_0x335f(0x26f)][_0x335f(0x205)](endpoint,_0x1e23a8);if(queued){this[_0x335f(0x1ed)][_0x335f(0x217)][_0x335f(0x1d8)]=0x0,this[_0x335f(0x1ed)][_0x335f(0x217)][_0x335f(0x26c)]=Date[_0x335f(0x238)]();return;}else {}}catch(error){}try{const response=await fetch(endpoint,{'method':_0x335f(0x26e),'headers':{'Content-Type':_0x335f(0x1bb)},'body':payloadString,'credentials':_0x335f(0x208),'keepalive':!![]});if(!response['ok'])throw new Error(_0x335f(0x1c9)+response[_0x335f(0x1cc)]);this[_0x335f(0x1ed)][_0x335f(0x217)][_0x335f(0x1d8)]=0x0,this[_0x335f(0x1ed)][_0x335f(0x217)][_0x335f(0x26c)]=Date[_0x335f(0x238)]();}catch(error){this[_0x335f(0x1cd)](signals,reason);}}[_0x335f(0x1cd)](signals,reason){if(!this[_0x335f(0x1ed)][_0x335f(0x217)]||this[_0x335f(0x1ed)][_0x335f(0x217)][_0x335f(0x1d8)]>=this[_0x335f(0x25b)][_0x335f(0x1f1)])return;const retryDelay=Math[_0x335f(0x1be)](0x3e8*0x2**this[_0x335f(0x1ed)][_0x335f(0x217)][_0x335f(0x1d8)],0x7530);this[_0x335f(0x1ed)][_0x335f(0x217)][_0x335f(0x1d8)]++,this[_0x335f(0x1ed)][_0x335f(0x217)][_0x335f(0x22c)]=this[_0x335f(0x1c5)][_0x335f(0x1e2)][_0x335f(0x1ff)](()=>{this[_0x335f(0x1ed)][_0x335f(0x217)]&&this[_0x335f(0x205)](signals,reason);},retryDelay);}async[_0x335f(0x211)](){if(!this[_0x335f(0x1ed)][_0x335f(0x217)])return;const behaviorData=analyzeBehavior(this[_0x335f(0x1ed)][_0x335f(0x21e)],this[_0x335f(0x1ed)][_0x335f(0x267)],this[_0x335f(0x1ed)][_0x335f(0x24e)],this[_0x335f(0x1ed)][_0x335f(0x255)],this[_0x335f(0x1ed)][_0x335f(0x256)],this[_0x335f(0x1ed)][_0x335f(0x265)],this[_0x335f(0x1ed)][_0x335f(0x1ce)],this[_0x335f(0x1ed)][_0x335f(0x1f4)],this[_0x335f(0x1ed)][_0x335f(0x1b4)],this[_0x335f(0x1ed)][_0x335f(0x23e)],this[_0x335f(0x1ed)][_0x335f(0x1d5)],this[_0x335f(0x1ed)][_0x335f(0x222)],Date[_0x335f(0x238)]()),currentSignals=processSignals(this[_0x335f(0x1ed)][_0x335f(0x210)],behaviorData,this[_0x335f(0x1ed)][_0x335f(0x24f)],this[_0x335f(0x1ed)][_0x335f(0x217)][_0x335f(0x280)]),hasChange=hasSignificantChange(currentSignals,this[_0x335f(0x1ed)][_0x335f(0x217)][_0x335f(0x280)]),timeSinceLastSuccessfulSend=Date[_0x335f(0x238)]()-this[_0x335f(0x1ed)][_0x335f(0x217)][_0x335f(0x26c)],shouldSendPeriodically=timeSinceLastSuccessfulSend>=this[_0x335f(0x25b)][_0x335f(0x1db)];if(hasChange||shouldSendPeriodically){const timeSinceLastSend=Date[_0x335f(0x238)]()-this[_0x335f(0x1ed)][_0x335f(0x217)][_0x335f(0x23f)];if(timeSinceLastSend<0x64){this[_0x335f(0x219)](_0x335f(0x264),!![]);return;}shouldSendPeriodically&&!hasChange&&this[_0x335f(0x219)](_0x335f(0x250)+Math[_0x335f(0x277)](timeSinceLastSuccessfulSend/0x3e8)+_0x335f(0x1ec),!![]);if(hasChange){if(this[_0x335f(0x25b)][_0x335f(0x27c)]){if(!this[_0x335f(0x1ed)][_0x335f(0x217)][_0x335f(0x280)])this[_0x335f(0x219)](_0x335f(0x1e5));else {const signalKeys=Object[_0x335f(0x239)](currentSignals);signalKeys[_0x335f(0x22a)](_0x4a0678=>{this[_0x335f(0x1ed)][_0x335f(0x217)][_0x335f(0x280)][_0x4a0678];currentSignals[_0x4a0678];});}if(this[_0x335f(0x1ed)][_0x335f(0x24f)]);}}this[_0x335f(0x1ed)][_0x335f(0x217)][_0x335f(0x280)]=cloneSignals(currentSignals),this[_0x335f(0x1ed)][_0x335f(0x217)][_0x335f(0x23f)]=Date[_0x335f(0x238)](),this[_0x335f(0x1fe)](currentSignals);if(this[_0x335f(0x25b)][_0x335f(0x1d1)]&&hasChange)try{this[_0x335f(0x25b)][_0x335f(0x1d1)](packSignals(currentSignals));}catch(error){this[_0x335f(0x1de)][_0x335f(0x230)](error,_0x335f(0x274));}const reason=hasChange?_0x335f(0x1c8):_0x335f(0x241);await this[_0x335f(0x205)](currentSignals,reason);}else {if(this[_0x335f(0x25b)][_0x335f(0x27c)]);}}}const otelLogsAttributes=(browserAPI,shopId)=>{return {'libVersion':version,'shopId':shopId||'','hostname':browserAPI[_0x335f(0x1e2)]?.[_0x335f(0x22b)]?.[_0x335f(0x273)]||'','url':browserAPI[_0x335f(0x1e2)]?.[_0x335f(0x22b)]?.[_0x335f(0x201)]||'','referrer':browserAPI[_0x335f(0x233)]?.[_0x335f(0x20a)]||'','baseURI':browserAPI[_0x335f(0x233)]?.[_0x335f(0x221)]||'','sessionToken':visitToken()||'','uniqueToken':uniqueToken()||''};},initSHS=(_0x3f42c7,browserAPI=getDefaultBrowserAPI(),otelExporter=new OpenTelemetryJSONExporter(OPEN_TELEMETRY_ENDPOINT,SERVICE_NAME))=>{const otelClient=new OpenTelemetryClient({'exporter':otelExporter,'attributes':otelLogsAttributes(browserAPI,_0x3f42c7?.[_0x335f(0x1ca)])}),sessionToken=visitToken(),logsSampleKey=sessionToken?hashCode(sessionToken):undefined,logger=new Logger(_0x3f42c7?.[_0x335f(0x27c)]||![],otelClient,_0x3f42c7?.[_0x335f(0x206)]||0x1,logsSampleKey),shs=new ShopifyHumanSignal(logger,_0x3f42c7,browserAPI);return browserAPI[_0x335f(0x233)][_0x335f(0x262)]===_0x335f(0x235)?browserAPI[_0x335f(0x233)][_0x335f(0x1df)](_0x335f(0x1ba),()=>shs[_0x335f(0x257)]()):shs[_0x335f(0x257)](),shs;};\n\nexport { ShopifyHumanSignal, analyzeBehavior, calculateMouseStraightness, calculateScrollPauses, calculateScrollSmoothness, calculateSpeedAndJitter, calculateTouchPauses, calculateTouchSmoothness, calculateTypingConsistency, checkNaturalMouseMovement, initSHS as default, getDefaultBrowserAPI, hasSignificantChange, packSignals, processSignals, throttle, unpackSignals };\n", "import {initSHS} from '@shopify/human-signals';\n\n// Ships in its own deferred entrypoint (esbuild here has no code splitting,\n// so a lazy import would be inlined) that the server renders only when the\n// f_identity_human_signals flag is enabled.\n// human-signals 2.3.0 constructs a default OTLP exporter that sends sampled\n// log records \u2014 including the full URL, referrer, and _shopify_y/_shopify_s\n// tokens \u2014 to otlp-http-production.shopifysvc.com, bypassing /api/collect.\n// On Identity, URLs can carry OAuth codes and reset tokens, so that export\n// must never run. logsSampleRate: 0 is broken in 2.3.0 (`|| 1` treats 0 as\n// unset); a no-op exporter is the only reliable opt-out. The injection point\n// is an implementation detail \u2014 re-verify it on every version bump (the\n// exact 2.3.0 pin is what makes this safe today).\nconst noopOtelExporter = {\n  async exportMetrics(): Promise<void> {},\n  async exportLogs(): Promise<void> {},\n};\n\nlet started = false;\n\nexport function initializeHumanSignalCollection(): void {\n  const meta = document.querySelector(\n    'meta[name=\"identity:human-signals-enabled\"]',\n  );\n\n  // Today the server renders this meta and the script tag together, so this\n  // check cannot disagree with the server. It is deliberate defense-in-depth:\n  // if this module is ever imported into a shared bundle (e.g. base-public),\n  // collection stays flag-gated instead of enabling for all traffic.\n  if (meta?.getAttribute('content') !== 'true' || started) {\n    return;\n  }\n\n  started = true;\n\n  try {\n    initSHS(\n      {\n        exportWithFetch: true,\n        beaconEndpoint: '/api/collect',\n        // Login flows can finish before the default cadence sends a beacon.\n        updateInterval: 2000,\n      },\n      undefined, // keep the default browserAPI\n      noopOtelExporter,\n    );\n  } catch {\n    // Initialization is best-effort and attempted only once per page.\n  }\n}\n", "import {initializeHumanSignalCollection} from '../modules/human-signals';\n\n// Loaded with `defer: true`, so the DOM is parsed by the time this runs.\ninitializeHumanSignalCollection();\n"],
  "mappings": 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