feat: Complete zCode CLI X with Telegram bot integration

- Add full Telegram bot functionality with Z.AI API integration
- Implement 4 tools: Bash, FileEdit, WebSearch, Git
- Add 3 agents: Code Reviewer, Architect, DevOps Engineer
- Add 6 skills for common coding tasks
- Add systemd service file for 24/7 operation
- Add nginx configuration for HTTPS webhook
- Add comprehensive documentation
- Implement WebSocket server for real-time updates
- Add logging system with Winston
- Add environment validation

🤖 zCode CLI X - Agentic coder with Z.AI + Telegram integration

~/.npm-cache/@opentelemetry/sdk-metrics@1.30.1@@@1/build/esnext/aggregator/exponential-histogram/Buckets.d.ts

@@ -0,0 +1,133 @@
+export declare class Buckets {
+    backing: BucketsBacking;
+    indexBase: number;
+    indexStart: number;
+    indexEnd: number;
+    /**
+     * The term index refers to the number of the exponential histogram bucket
+     * used to determine its boundaries. The lower boundary of a bucket is
+     * determined by base ** index and the upper boundary of a bucket is
+     * determined by base ** (index + 1). index values are signed to account
+     * for values less than or equal to 1.
+     *
+     * indexBase is the index of the 0th position in the
+     * backing array, i.e., backing[0] is the count
+     * in the bucket with index `indexBase`.
+     *
+     * indexStart is the smallest index value represented
+     * in the backing array.
+     *
+     * indexEnd is the largest index value represented in
+     * the backing array.
+     */
+    constructor(backing?: BucketsBacking, indexBase?: number, indexStart?: number, indexEnd?: number);
+    /**
+     * Offset is the bucket index of the smallest entry in the counts array
+     * @returns {number}
+     */
+    get offset(): number;
+    /**
+     * Buckets is a view into the backing array.
+     * @returns {number}
+     */
+    get length(): number;
+    /**
+     * An array of counts, where count[i] carries the count
+     * of the bucket at index (offset+i).  count[i] is the count of
+     * values greater than base^(offset+i) and less than or equal to
+     * base^(offset+i+1).
+     * @returns {number} The logical counts based on the backing array
+     */
+    counts(): number[];
+    /**
+     * At returns the count of the bucket at a position in the logical
+     * array of counts.
+     * @param position
+     * @returns {number}
+     */
+    at(position: number): number;
+    /**
+     * incrementBucket increments the backing array index by `increment`
+     * @param bucketIndex
+     * @param increment
+     */
+    incrementBucket(bucketIndex: number, increment: number): void;
+    /**
+     * decrementBucket decrements the backing array index by `decrement`
+     * if decrement is greater than the current value, it's set to 0.
+     * @param bucketIndex
+     * @param decrement
+     */
+    decrementBucket(bucketIndex: number, decrement: number): void;
+    /**
+     * trim removes leading and / or trailing zero buckets (which can occur
+     * after diffing two histos) and rotates the backing array so that the
+     * smallest non-zero index is in the 0th position of the backing array
+     */
+    trim(): void;
+    /**
+     * downscale first rotates, then collapses 2**`by`-to-1 buckets.
+     * @param by
+     */
+    downscale(by: number): void;
+    /**
+     * Clone returns a deep copy of Buckets
+     * @returns {Buckets}
+     */
+    clone(): Buckets;
+    /**
+     * _rotate shifts the backing array contents so that indexStart ==
+     * indexBase to simplify the downscale logic.
+     */
+    private _rotate;
+    /**
+     * _relocateBucket adds the count in counts[src] to counts[dest] and
+     * resets count[src] to zero.
+     */
+    private _relocateBucket;
+}
+/**
+ * BucketsBacking holds the raw buckets and some utility methods to
+ * manage them.
+ */
+declare class BucketsBacking {
+    private _counts;
+    constructor(_counts?: number[]);
+    /**
+     * length returns the physical size of the backing array, which
+     * is >= buckets.length()
+     */
+    get length(): number;
+    /**
+     * countAt returns the count in a specific bucket
+     */
+    countAt(pos: number): number;
+    /**
+     * growTo grows a backing array and copies old entries
+     * into their correct new positions.
+     */
+    growTo(newSize: number, oldPositiveLimit: number, newPositiveLimit: number): void;
+    /**
+     * reverse the items in the backing array in the range [from, limit).
+     */
+    reverse(from: number, limit: number): void;
+    /**
+     * emptyBucket empties the count from a bucket, for
+     * moving into another.
+     */
+    emptyBucket(src: number): number;
+    /**
+     * increments a bucket by `increment`
+     */
+    increment(bucketIndex: number, increment: number): void;
+    /**
+     * decrements a bucket by `decrement`
+     */
+    decrement(bucketIndex: number, decrement: number): void;
+    /**
+     * clone returns a deep copy of BucketsBacking
+     */
+    clone(): BucketsBacking;
+}
+export {};
+//# sourceMappingURL=Buckets.d.ts.map

~/.npm-cache/@opentelemetry/sdk-metrics@1.30.1@@@1/build/esnext/aggregator/exponential-histogram/Buckets.js

@@ -0,0 +1,268 @@
+/*
+ * Copyright The OpenTelemetry Authors
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+export class Buckets {
+    /**
+     * The term index refers to the number of the exponential histogram bucket
+     * used to determine its boundaries. The lower boundary of a bucket is
+     * determined by base ** index and the upper boundary of a bucket is
+     * determined by base ** (index + 1). index values are signed to account
+     * for values less than or equal to 1.
+     *
+     * indexBase is the index of the 0th position in the
+     * backing array, i.e., backing[0] is the count
+     * in the bucket with index `indexBase`.
+     *
+     * indexStart is the smallest index value represented
+     * in the backing array.
+     *
+     * indexEnd is the largest index value represented in
+     * the backing array.
+     */
+    constructor(backing = new BucketsBacking(), indexBase = 0, indexStart = 0, indexEnd = 0) {
+        this.backing = backing;
+        this.indexBase = indexBase;
+        this.indexStart = indexStart;
+        this.indexEnd = indexEnd;
+    }
+    /**
+     * Offset is the bucket index of the smallest entry in the counts array
+     * @returns {number}
+     */
+    get offset() {
+        return this.indexStart;
+    }
+    /**
+     * Buckets is a view into the backing array.
+     * @returns {number}
+     */
+    get length() {
+        if (this.backing.length === 0) {
+            return 0;
+        }
+        if (this.indexEnd === this.indexStart && this.at(0) === 0) {
+            return 0;
+        }
+        return this.indexEnd - this.indexStart + 1;
+    }
+    /**
+     * An array of counts, where count[i] carries the count
+     * of the bucket at index (offset+i).  count[i] is the count of
+     * values greater than base^(offset+i) and less than or equal to
+     * base^(offset+i+1).
+     * @returns {number} The logical counts based on the backing array
+     */
+    counts() {
+        return Array.from({ length: this.length }, (_, i) => this.at(i));
+    }
+    /**
+     * At returns the count of the bucket at a position in the logical
+     * array of counts.
+     * @param position
+     * @returns {number}
+     */
+    at(position) {
+        const bias = this.indexBase - this.indexStart;
+        if (position < bias) {
+            position += this.backing.length;
+        }
+        position -= bias;
+        return this.backing.countAt(position);
+    }
+    /**
+     * incrementBucket increments the backing array index by `increment`
+     * @param bucketIndex
+     * @param increment
+     */
+    incrementBucket(bucketIndex, increment) {
+        this.backing.increment(bucketIndex, increment);
+    }
+    /**
+     * decrementBucket decrements the backing array index by `decrement`
+     * if decrement is greater than the current value, it's set to 0.
+     * @param bucketIndex
+     * @param decrement
+     */
+    decrementBucket(bucketIndex, decrement) {
+        this.backing.decrement(bucketIndex, decrement);
+    }
+    /**
+     * trim removes leading and / or trailing zero buckets (which can occur
+     * after diffing two histos) and rotates the backing array so that the
+     * smallest non-zero index is in the 0th position of the backing array
+     */
+    trim() {
+        for (let i = 0; i < this.length; i++) {
+            if (this.at(i) !== 0) {
+                this.indexStart += i;
+                break;
+            }
+            else if (i === this.length - 1) {
+                //the entire array is zeroed out
+                this.indexStart = this.indexEnd = this.indexBase = 0;
+                return;
+            }
+        }
+        for (let i = this.length - 1; i >= 0; i--) {
+            if (this.at(i) !== 0) {
+                this.indexEnd -= this.length - i - 1;
+                break;
+            }
+        }
+        this._rotate();
+    }
+    /**
+     * downscale first rotates, then collapses 2**`by`-to-1 buckets.
+     * @param by
+     */
+    downscale(by) {
+        this._rotate();
+        const size = 1 + this.indexEnd - this.indexStart;
+        const each = 1 << by;
+        let inpos = 0;
+        let outpos = 0;
+        for (let pos = this.indexStart; pos <= this.indexEnd;) {
+            let mod = pos % each;
+            if (mod < 0) {
+                mod += each;
+            }
+            for (let i = mod; i < each && inpos < size; i++) {
+                this._relocateBucket(outpos, inpos);
+                inpos++;
+                pos++;
+            }
+            outpos++;
+        }
+        this.indexStart >>= by;
+        this.indexEnd >>= by;
+        this.indexBase = this.indexStart;
+    }
+    /**
+     * Clone returns a deep copy of Buckets
+     * @returns {Buckets}
+     */
+    clone() {
+        return new Buckets(this.backing.clone(), this.indexBase, this.indexStart, this.indexEnd);
+    }
+    /**
+     * _rotate shifts the backing array contents so that indexStart ==
+     * indexBase to simplify the downscale logic.
+     */
+    _rotate() {
+        const bias = this.indexBase - this.indexStart;
+        if (bias === 0) {
+            return;
+        }
+        else if (bias > 0) {
+            this.backing.reverse(0, this.backing.length);
+            this.backing.reverse(0, bias);
+            this.backing.reverse(bias, this.backing.length);
+        }
+        else {
+            // negative bias, this can happen when diffing two histograms
+            this.backing.reverse(0, this.backing.length);
+            this.backing.reverse(0, this.backing.length + bias);
+        }
+        this.indexBase = this.indexStart;
+    }
+    /**
+     * _relocateBucket adds the count in counts[src] to counts[dest] and
+     * resets count[src] to zero.
+     */
+    _relocateBucket(dest, src) {
+        if (dest === src) {
+            return;
+        }
+        this.incrementBucket(dest, this.backing.emptyBucket(src));
+    }
+}
+/**
+ * BucketsBacking holds the raw buckets and some utility methods to
+ * manage them.
+ */
+class BucketsBacking {
+    constructor(_counts = [0]) {
+        this._counts = _counts;
+    }
+    /**
+     * length returns the physical size of the backing array, which
+     * is >= buckets.length()
+     */
+    get length() {
+        return this._counts.length;
+    }
+    /**
+     * countAt returns the count in a specific bucket
+     */
+    countAt(pos) {
+        return this._counts[pos];
+    }
+    /**
+     * growTo grows a backing array and copies old entries
+     * into their correct new positions.
+     */
+    growTo(newSize, oldPositiveLimit, newPositiveLimit) {
+        const tmp = new Array(newSize).fill(0);
+        tmp.splice(newPositiveLimit, this._counts.length - oldPositiveLimit, ...this._counts.slice(oldPositiveLimit));
+        tmp.splice(0, oldPositiveLimit, ...this._counts.slice(0, oldPositiveLimit));
+        this._counts = tmp;
+    }
+    /**
+     * reverse the items in the backing array in the range [from, limit).
+     */
+    reverse(from, limit) {
+        const num = Math.floor((from + limit) / 2) - from;
+        for (let i = 0; i < num; i++) {
+            const tmp = this._counts[from + i];
+            this._counts[from + i] = this._counts[limit - i - 1];
+            this._counts[limit - i - 1] = tmp;
+        }
+    }
+    /**
+     * emptyBucket empties the count from a bucket, for
+     * moving into another.
+     */
+    emptyBucket(src) {
+        const tmp = this._counts[src];
+        this._counts[src] = 0;
+        return tmp;
+    }
+    /**
+     * increments a bucket by `increment`
+     */
+    increment(bucketIndex, increment) {
+        this._counts[bucketIndex] += increment;
+    }
+    /**
+     * decrements a bucket by `decrement`
+     */
+    decrement(bucketIndex, decrement) {
+        if (this._counts[bucketIndex] >= decrement) {
+            this._counts[bucketIndex] -= decrement;
+        }
+        else {
+            // this should not happen, but we're being defensive against
+            // negative counts.
+            this._counts[bucketIndex] = 0;
+        }
+    }
+    /**
+     * clone returns a deep copy of BucketsBacking
+     */
+    clone() {
+        return new BucketsBacking([...this._counts]);
+    }
+}
+//# sourceMappingURL=Buckets.js.map

~/.npm-cache/@opentelemetry/sdk-metrics@1.30.1@@@1/build/esnext/aggregator/exponential-histogram/mapping/ExponentMapping.d.ts

@@ -0,0 +1,31 @@
+import { Mapping } from './types';
+/**
+ * ExponentMapping implements exponential mapping functions for
+ * scales <=0. For scales > 0 LogarithmMapping should be used.
+ */
+export declare class ExponentMapping implements Mapping {
+    private readonly _shift;
+    constructor(scale: number);
+    /**
+     * Maps positive floating point values to indexes corresponding to scale
+     * @param value
+     * @returns {number} index for provided value at the current scale
+     */
+    mapToIndex(value: number): number;
+    /**
+     * Returns the lower bucket boundary for the given index for scale
+     *
+     * @param index
+     * @returns {number}
+     */
+    lowerBoundary(index: number): number;
+    /**
+     * The scale used by this mapping
+     * @returns {number}
+     */
+    get scale(): number;
+    private _minNormalLowerBoundaryIndex;
+    private _maxNormalLowerBoundaryIndex;
+    private _rightShift;
+}
+//# sourceMappingURL=ExponentMapping.d.ts.map

~/.npm-cache/@opentelemetry/sdk-metrics@1.30.1@@@1/build/esnext/aggregator/exponential-histogram/mapping/ExponentMapping.js

@@ -0,0 +1,85 @@
+/*
+ * Copyright The OpenTelemetry Authors
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+import * as ieee754 from './ieee754';
+import * as util from '../util';
+import { MappingError } from './types';
+/**
+ * ExponentMapping implements exponential mapping functions for
+ * scales <=0. For scales > 0 LogarithmMapping should be used.
+ */
+export class ExponentMapping {
+    constructor(scale) {
+        this._shift = -scale;
+    }
+    /**
+     * Maps positive floating point values to indexes corresponding to scale
+     * @param value
+     * @returns {number} index for provided value at the current scale
+     */
+    mapToIndex(value) {
+        if (value < ieee754.MIN_VALUE) {
+            return this._minNormalLowerBoundaryIndex();
+        }
+        const exp = ieee754.getNormalBase2(value);
+        // In case the value is an exact power of two, compute a
+        // correction of -1. Note, we are using a custom _rightShift
+        // to accommodate a 52-bit argument, which the native bitwise
+        // operators do not support
+        const correction = this._rightShift(ieee754.getSignificand(value) - 1, ieee754.SIGNIFICAND_WIDTH);
+        return (exp + correction) >> this._shift;
+    }
+    /**
+     * Returns the lower bucket boundary for the given index for scale
+     *
+     * @param index
+     * @returns {number}
+     */
+    lowerBoundary(index) {
+        const minIndex = this._minNormalLowerBoundaryIndex();
+        if (index < minIndex) {
+            throw new MappingError(`underflow: ${index} is < minimum lower boundary: ${minIndex}`);
+        }
+        const maxIndex = this._maxNormalLowerBoundaryIndex();
+        if (index > maxIndex) {
+            throw new MappingError(`overflow: ${index} is > maximum lower boundary: ${maxIndex}`);
+        }
+        return util.ldexp(1, index << this._shift);
+    }
+    /**
+     * The scale used by this mapping
+     * @returns {number}
+     */
+    get scale() {
+        if (this._shift === 0) {
+            return 0;
+        }
+        return -this._shift;
+    }
+    _minNormalLowerBoundaryIndex() {
+        let index = ieee754.MIN_NORMAL_EXPONENT >> this._shift;
+        if (this._shift < 2) {
+            index--;
+        }
+        return index;
+    }
+    _maxNormalLowerBoundaryIndex() {
+        return ieee754.MAX_NORMAL_EXPONENT >> this._shift;
+    }
+    _rightShift(value, shift) {
+        return Math.floor(value * Math.pow(2, -shift));
+    }
+}
+//# sourceMappingURL=ExponentMapping.js.map

~/.npm-cache/@opentelemetry/sdk-metrics@1.30.1@@@1/build/esnext/aggregator/exponential-histogram/mapping/ExponentMapping.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"ExponentMapping.js","sourceRoot":"","sources":["../../../../../src/aggregator/exponential-histogram/mapping/ExponentMapping.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;GAcG;AACH,OAAO,KAAK,OAAO,MAAM,WAAW,CAAC;AACrC,OAAO,KAAK,IAAI,MAAM,SAAS,CAAC;AAChC,OAAO,EAAW,YAAY,EAAE,MAAM,SAAS,CAAC;AAEhD;;;GAGG;AACH,MAAM,OAAO,eAAe;IAG1B,YAAY,KAAa;QACvB,IAAI,CAAC,MAAM,GAAG,CAAC,KAAK,CAAC;IACvB,CAAC;IAED;;;;OAIG;IACH,UAAU,CAAC,KAAa;QACtB,IAAI,KAAK,GAAG,OAAO,CAAC,SAAS,EAAE;YAC7B,OAAO,IAAI,CAAC,4BAA4B,EAAE,CAAC;SAC5C;QAED,MAAM,GAAG,GAAG,OAAO,CAAC,cAAc,CAAC,KAAK,CAAC,CAAC;QAE1C,wDAAwD;QACxD,4DAA4D;QAC5D,6DAA6D;QAC7D,2BAA2B;QAC3B,MAAM,UAAU,GAAG,IAAI,CAAC,WAAW,CACjC,OAAO,CAAC,cAAc,CAAC,KAAK,CAAC,GAAG,CAAC,EACjC,OAAO,CAAC,iBAAiB,CAC1B,CAAC;QAEF,OAAO,CAAC,GAAG,GAAG,UAAU,CAAC,IAAI,IAAI,CAAC,MAAM,CAAC;IAC3C,CAAC;IAED;;;;;OAKG;IACH,aAAa,CAAC,KAAa;QACzB,MAAM,QAAQ,GAAG,IAAI,CAAC,4BAA4B,EAAE,CAAC;QACrD,IAAI,KAAK,GAAG,QAAQ,EAAE;YACpB,MAAM,IAAI,YAAY,CACpB,cAAc,KAAK,iCAAiC,QAAQ,EAAE,CAC/D,CAAC;SACH;QACD,MAAM,QAAQ,GAAG,IAAI,CAAC,4BAA4B,EAAE,CAAC;QACrD,IAAI,KAAK,GAAG,QAAQ,EAAE;YACpB,MAAM,IAAI,YAAY,CACpB,aAAa,KAAK,iCAAiC,QAAQ,EAAE,CAC9D,CAAC;SACH;QAED,OAAO,IAAI,CAAC,KAAK,CAAC,CAAC,EAAE,KAAK,IAAI,IAAI,CAAC,MAAM,CAAC,CAAC;IAC7C,CAAC;IAED;;;OAGG;IACH,IAAI,KAAK;QACP,IAAI,IAAI,CAAC,MAAM,KAAK,CAAC,EAAE;YACrB,OAAO,CAAC,CAAC;SACV;QACD,OAAO,CAAC,IAAI,CAAC,MAAM,CAAC;IACtB,CAAC;IAEO,4BAA4B;QAClC,IAAI,KAAK,GAAG,OAAO,CAAC,mBAAmB,IAAI,IAAI,CAAC,MAAM,CAAC;QACvD,IAAI,IAAI,CAAC,MAAM,GAAG,CAAC,EAAE;YACnB,KAAK,EAAE,CAAC;SACT;QAED,OAAO,KAAK,CAAC;IACf,CAAC;IAEO,4BAA4B;QAClC,OAAO,OAAO,CAAC,mBAAmB,IAAI,IAAI,CAAC,MAAM,CAAC;IACpD,CAAC;IAEO,WAAW,CAAC,KAAa,EAAE,KAAa;QAC9C,OAAO,IAAI,CAAC,KAAK,CAAC,KAAK,GAAG,IAAI,CAAC,GAAG,CAAC,CAAC,EAAE,CAAC,KAAK,CAAC,CAAC,CAAC;IACjD,CAAC;CACF","sourcesContent":["/*\n * Copyright The OpenTelemetry Authors\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      https://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\nimport * as ieee754 from './ieee754';\nimport * as util from '../util';\nimport { Mapping, MappingError } from './types';\n\n/**\n * ExponentMapping implements exponential mapping functions for\n * scales <=0. For scales > 0 LogarithmMapping should be used.\n */\nexport class ExponentMapping implements Mapping {\n  private readonly _shift: number;\n\n  constructor(scale: number) {\n    this._shift = -scale;\n  }\n\n  /**\n   * Maps positive floating point values to indexes corresponding to scale\n   * @param value\n   * @returns {number} index for provided value at the current scale\n   */\n  mapToIndex(value: number): number {\n    if (value < ieee754.MIN_VALUE) {\n      return this._minNormalLowerBoundaryIndex();\n    }\n\n    const exp = ieee754.getNormalBase2(value);\n\n    // In case the value is an exact power of two, compute a\n    // correction of -1. Note, we are using a custom _rightShift\n    // to accommodate a 52-bit argument, which the native bitwise\n    // operators do not support\n    const correction = this._rightShift(\n      ieee754.getSignificand(value) - 1,\n      ieee754.SIGNIFICAND_WIDTH\n    );\n\n    return (exp + correction) >> this._shift;\n  }\n\n  /**\n   * Returns the lower bucket boundary for the given index for scale\n   *\n   * @param index\n   * @returns {number}\n   */\n  lowerBoundary(index: number): number {\n    const minIndex = this._minNormalLowerBoundaryIndex();\n    if (index < minIndex) {\n      throw new MappingError(\n        `underflow: ${index} is < minimum lower boundary: ${minIndex}`\n      );\n    }\n    const maxIndex = this._maxNormalLowerBoundaryIndex();\n    if (index > maxIndex) {\n      throw new MappingError(\n        `overflow: ${index} is > maximum lower boundary: ${maxIndex}`\n      );\n    }\n\n    return util.ldexp(1, index << this._shift);\n  }\n\n  /**\n   * The scale used by this mapping\n   * @returns {number}\n   */\n  get scale(): number {\n    if (this._shift === 0) {\n      return 0;\n    }\n    return -this._shift;\n  }\n\n  private _minNormalLowerBoundaryIndex(): number {\n    let index = ieee754.MIN_NORMAL_EXPONENT >> this._shift;\n    if (this._shift < 2) {\n      index--;\n    }\n\n    return index;\n  }\n\n  private _maxNormalLowerBoundaryIndex(): number {\n    return ieee754.MAX_NORMAL_EXPONENT >> this._shift;\n  }\n\n  private _rightShift(value: number, shift: number): number {\n    return Math.floor(value * Math.pow(2, -shift));\n  }\n}\n"]}

~/.npm-cache/@opentelemetry/sdk-metrics@1.30.1@@@1/build/esnext/aggregator/exponential-histogram/mapping/LogarithmMapping.d.ts

@@ -0,0 +1,32 @@
+import { Mapping } from './types';
+/**
+ * LogarithmMapping implements exponential mapping functions for scale > 0.
+ * For scales <= 0 the exponent mapping should be used.
+ */
+export declare class LogarithmMapping implements Mapping {
+    private readonly _scale;
+    private readonly _scaleFactor;
+    private readonly _inverseFactor;
+    constructor(scale: number);
+    /**
+     * Maps positive floating point values to indexes corresponding to scale
+     * @param value
+     * @returns {number} index for provided value at the current scale
+     */
+    mapToIndex(value: number): number;
+    /**
+     * Returns the lower bucket boundary for the given index for scale
+     *
+     * @param index
+     * @returns {number}
+     */
+    lowerBoundary(index: number): number;
+    /**
+     * The scale used by this mapping
+     * @returns {number}
+     */
+    get scale(): number;
+    private _minNormalLowerBoundaryIndex;
+    private _maxNormalLowerBoundaryIndex;
+}
+//# sourceMappingURL=LogarithmMapping.d.ts.map

~/.npm-cache/@opentelemetry/sdk-metrics@1.30.1@@@1/build/esnext/aggregator/exponential-histogram/mapping/LogarithmMapping.js

@@ -0,0 +1,91 @@
+/*
+ * Copyright The OpenTelemetry Authors
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+import * as ieee754 from './ieee754';
+import * as util from '../util';
+import { MappingError } from './types';
+/**
+ * LogarithmMapping implements exponential mapping functions for scale > 0.
+ * For scales <= 0 the exponent mapping should be used.
+ */
+export class LogarithmMapping {
+    constructor(scale) {
+        this._scale = scale;
+        this._scaleFactor = util.ldexp(Math.LOG2E, scale);
+        this._inverseFactor = util.ldexp(Math.LN2, -scale);
+    }
+    /**
+     * Maps positive floating point values to indexes corresponding to scale
+     * @param value
+     * @returns {number} index for provided value at the current scale
+     */
+    mapToIndex(value) {
+        if (value <= ieee754.MIN_VALUE) {
+            return this._minNormalLowerBoundaryIndex() - 1;
+        }
+        // exact power of two special case
+        if (ieee754.getSignificand(value) === 0) {
+            const exp = ieee754.getNormalBase2(value);
+            return (exp << this._scale) - 1;
+        }
+        // non-power of two cases. use Math.floor to round the scaled logarithm
+        const index = Math.floor(Math.log(value) * this._scaleFactor);
+        const maxIndex = this._maxNormalLowerBoundaryIndex();
+        if (index >= maxIndex) {
+            return maxIndex;
+        }
+        return index;
+    }
+    /**
+     * Returns the lower bucket boundary for the given index for scale
+     *
+     * @param index
+     * @returns {number}
+     */
+    lowerBoundary(index) {
+        const maxIndex = this._maxNormalLowerBoundaryIndex();
+        if (index >= maxIndex) {
+            if (index === maxIndex) {
+                return 2 * Math.exp((index - (1 << this._scale)) / this._scaleFactor);
+            }
+            throw new MappingError(`overflow: ${index} is > maximum lower boundary: ${maxIndex}`);
+        }
+        const minIndex = this._minNormalLowerBoundaryIndex();
+        if (index <= minIndex) {
+            if (index === minIndex) {
+                return ieee754.MIN_VALUE;
+            }
+            else if (index === minIndex - 1) {
+                return Math.exp((index + (1 << this._scale)) / this._scaleFactor) / 2;
+            }
+            throw new MappingError(`overflow: ${index} is < minimum lower boundary: ${minIndex}`);
+        }
+        return Math.exp(index * this._inverseFactor);
+    }
+    /**
+     * The scale used by this mapping
+     * @returns {number}
+     */
+    get scale() {
+        return this._scale;
+    }
+    _minNormalLowerBoundaryIndex() {
+        return ieee754.MIN_NORMAL_EXPONENT << this._scale;
+    }
+    _maxNormalLowerBoundaryIndex() {
+        return ((ieee754.MAX_NORMAL_EXPONENT + 1) << this._scale) - 1;
+    }
+}
+//# sourceMappingURL=LogarithmMapping.js.map

~/.npm-cache/@opentelemetry/sdk-metrics@1.30.1@@@1/build/esnext/aggregator/exponential-histogram/mapping/getMapping.d.ts

@@ -0,0 +1,10 @@
+import { Mapping } from './types';
+/**
+ * getMapping returns an appropriate mapping for the given scale. For scales -10
+ * to 0 the underlying type will be ExponentMapping. For scales 1 to 20 the
+ * underlying type will be LogarithmMapping.
+ * @param scale a number in the range [-10, 20]
+ * @returns {Mapping}
+ */
+export declare function getMapping(scale: number): Mapping;
+//# sourceMappingURL=getMapping.d.ts.map

~/.npm-cache/@opentelemetry/sdk-metrics@1.30.1@@@1/build/esnext/aggregator/exponential-histogram/mapping/getMapping.js

@@ -0,0 +1,41 @@
+/*
+ * Copyright The OpenTelemetry Authors
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+import { ExponentMapping } from './ExponentMapping';
+import { LogarithmMapping } from './LogarithmMapping';
+import { MappingError } from './types';
+const MIN_SCALE = -10;
+const MAX_SCALE = 20;
+const PREBUILT_MAPPINGS = Array.from({ length: 31 }, (_, i) => {
+    if (i > 10) {
+        return new LogarithmMapping(i - 10);
+    }
+    return new ExponentMapping(i - 10);
+});
+/**
+ * getMapping returns an appropriate mapping for the given scale. For scales -10
+ * to 0 the underlying type will be ExponentMapping. For scales 1 to 20 the
+ * underlying type will be LogarithmMapping.
+ * @param scale a number in the range [-10, 20]
+ * @returns {Mapping}
+ */
+export function getMapping(scale) {
+    if (scale > MAX_SCALE || scale < MIN_SCALE) {
+        throw new MappingError(`expected scale >= ${MIN_SCALE} && <= ${MAX_SCALE}, got: ${scale}`);
+    }
+    // mappings are offset by 10. scale -10 is at position 0 and scale 20 is at 30
+    return PREBUILT_MAPPINGS[scale + 10];
+}
+//# sourceMappingURL=getMapping.js.map

~/.npm-cache/@opentelemetry/sdk-metrics@1.30.1@@@1/build/esnext/aggregator/exponential-histogram/mapping/getMapping.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"getMapping.js","sourceRoot":"","sources":["../../../../../src/aggregator/exponential-histogram/mapping/getMapping.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;GAcG;AACH,OAAO,EAAE,eAAe,EAAE,MAAM,mBAAmB,CAAC;AACpD,OAAO,EAAE,gBAAgB,EAAE,MAAM,oBAAoB,CAAC;AACtD,OAAO,EAAE,YAAY,EAAW,MAAM,SAAS,CAAC;AAEhD,MAAM,SAAS,GAAG,CAAC,EAAE,CAAC;AACtB,MAAM,SAAS,GAAG,EAAE,CAAC;AACrB,MAAM,iBAAiB,GAAG,KAAK,CAAC,IAAI,CAAC,EAAE,MAAM,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,EAAE;IAC5D,IAAI,CAAC,GAAG,EAAE,EAAE;QACV,OAAO,IAAI,gBAAgB,CAAC,CAAC,GAAG,EAAE,CAAC,CAAC;KACrC;IACD,OAAO,IAAI,eAAe,CAAC,CAAC,GAAG,EAAE,CAAC,CAAC;AACrC,CAAC,CAAC,CAAC;AAEH;;;;;;GAMG;AACH,MAAM,UAAU,UAAU,CAAC,KAAa;IACtC,IAAI,KAAK,GAAG,SAAS,IAAI,KAAK,GAAG,SAAS,EAAE;QAC1C,MAAM,IAAI,YAAY,CACpB,qBAAqB,SAAS,UAAU,SAAS,UAAU,KAAK,EAAE,CACnE,CAAC;KACH;IACD,8EAA8E;IAC9E,OAAO,iBAAiB,CAAC,KAAK,GAAG,EAAE,CAAC,CAAC;AACvC,CAAC","sourcesContent":["/*\n * Copyright The OpenTelemetry Authors\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      https://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\nimport { ExponentMapping } from './ExponentMapping';\nimport { LogarithmMapping } from './LogarithmMapping';\nimport { MappingError, Mapping } from './types';\n\nconst MIN_SCALE = -10;\nconst MAX_SCALE = 20;\nconst PREBUILT_MAPPINGS = Array.from({ length: 31 }, (_, i) => {\n  if (i > 10) {\n    return new LogarithmMapping(i - 10);\n  }\n  return new ExponentMapping(i - 10);\n});\n\n/**\n * getMapping returns an appropriate mapping for the given scale. For scales -10\n * to 0 the underlying type will be ExponentMapping. For scales 1 to 20 the\n * underlying type will be LogarithmMapping.\n * @param scale a number in the range [-10, 20]\n * @returns {Mapping}\n */\nexport function getMapping(scale: number): Mapping {\n  if (scale > MAX_SCALE || scale < MIN_SCALE) {\n    throw new MappingError(\n      `expected scale >= ${MIN_SCALE} && <= ${MAX_SCALE}, got: ${scale}`\n    );\n  }\n  // mappings are offset by 10. scale -10 is at position 0 and scale 20 is at 30\n  return PREBUILT_MAPPINGS[scale + 10];\n}\n"]}

~/.npm-cache/@opentelemetry/sdk-metrics@1.30.1@@@1/build/esnext/aggregator/exponential-histogram/mapping/ieee754.d.ts

@@ -0,0 +1,41 @@
+/**
+ * The functions and constants in this file allow us to interact
+ * with the internal representation of an IEEE 64-bit floating point
+ * number. We need to work with all 64-bits, thus, care needs to be
+ * taken when working with Javascript's bitwise operators (<<, >>, &,
+ * |, etc) as they truncate operands to 32-bits. In order to work around
+ * this we work with the 64-bits as two 32-bit halves, perform bitwise
+ * operations on them independently, and combine the results (if needed).
+ */
+export declare const SIGNIFICAND_WIDTH = 52;
+/**
+ * MIN_NORMAL_EXPONENT is the minimum exponent of a normalized
+ * floating point: -1022.
+ */
+export declare const MIN_NORMAL_EXPONENT: number;
+/**
+ * MAX_NORMAL_EXPONENT is the maximum exponent of a normalized
+ * floating point: 1023.
+ */
+export declare const MAX_NORMAL_EXPONENT = 1023;
+/**
+ * MIN_VALUE is the smallest normal number
+ */
+export declare const MIN_VALUE: number;
+/**
+ * getNormalBase2 extracts the normalized base-2 fractional exponent.
+ * This returns k for the equation f x 2**k where f is
+ * in the range [1, 2).  Note that this function is not called for
+ * subnormal numbers.
+ * @param {number} value - the value to determine normalized base-2 fractional
+ *    exponent for
+ * @returns {number} the normalized base-2 exponent
+ */
+export declare function getNormalBase2(value: number): number;
+/**
+ * GetSignificand returns the 52 bit (unsigned) significand as a signed value.
+ * @param {number} value - the floating point number to extract the significand from
+ * @returns {number} The 52-bit significand
+ */
+export declare function getSignificand(value: number): number;
+//# sourceMappingURL=ieee754.d.ts.map

~/.npm-cache/@opentelemetry/sdk-metrics@1.30.1@@@1/build/esnext/aggregator/exponential-histogram/mapping/ieee754.js

@@ -0,0 +1,89 @@
+/*
+ * Copyright The OpenTelemetry Authors
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+/**
+ * The functions and constants in this file allow us to interact
+ * with the internal representation of an IEEE 64-bit floating point
+ * number. We need to work with all 64-bits, thus, care needs to be
+ * taken when working with Javascript's bitwise operators (<<, >>, &,
+ * |, etc) as they truncate operands to 32-bits. In order to work around
+ * this we work with the 64-bits as two 32-bit halves, perform bitwise
+ * operations on them independently, and combine the results (if needed).
+ */
+export const SIGNIFICAND_WIDTH = 52;
+/**
+ * EXPONENT_MASK is set to 1 for the hi 32-bits of an IEEE 754
+ * floating point exponent: 0x7ff00000.
+ */
+const EXPONENT_MASK = 0x7ff00000;
+/**
+ * SIGNIFICAND_MASK is the mask for the significand portion of the hi 32-bits
+ * of an IEEE 754 double-precision floating-point value: 0xfffff
+ */
+const SIGNIFICAND_MASK = 0xfffff;
+/**
+ * EXPONENT_BIAS is the exponent bias specified for encoding
+ * the IEEE 754 double-precision floating point exponent: 1023
+ */
+const EXPONENT_BIAS = 1023;
+/**
+ * MIN_NORMAL_EXPONENT is the minimum exponent of a normalized
+ * floating point: -1022.
+ */
+export const MIN_NORMAL_EXPONENT = -EXPONENT_BIAS + 1;
+/**
+ * MAX_NORMAL_EXPONENT is the maximum exponent of a normalized
+ * floating point: 1023.
+ */
+export const MAX_NORMAL_EXPONENT = EXPONENT_BIAS;
+/**
+ * MIN_VALUE is the smallest normal number
+ */
+export const MIN_VALUE = Math.pow(2, -1022);
+/**
+ * getNormalBase2 extracts the normalized base-2 fractional exponent.
+ * This returns k for the equation f x 2**k where f is
+ * in the range [1, 2).  Note that this function is not called for
+ * subnormal numbers.
+ * @param {number} value - the value to determine normalized base-2 fractional
+ *    exponent for
+ * @returns {number} the normalized base-2 exponent
+ */
+export function getNormalBase2(value) {
+    const dv = new DataView(new ArrayBuffer(8));
+    dv.setFloat64(0, value);
+    // access the raw 64-bit float as 32-bit uints
+    const hiBits = dv.getUint32(0);
+    const expBits = (hiBits & EXPONENT_MASK) >> 20;
+    return expBits - EXPONENT_BIAS;
+}
+/**
+ * GetSignificand returns the 52 bit (unsigned) significand as a signed value.
+ * @param {number} value - the floating point number to extract the significand from
+ * @returns {number} The 52-bit significand
+ */
+export function getSignificand(value) {
+    const dv = new DataView(new ArrayBuffer(8));
+    dv.setFloat64(0, value);
+    // access the raw 64-bit float as two 32-bit uints
+    const hiBits = dv.getUint32(0);
+    const loBits = dv.getUint32(4);
+    // extract the significand bits from the hi bits and left shift 32 places note:
+    // we can't use the native << operator as it will truncate the result to 32-bits
+    const significandHiBits = (hiBits & SIGNIFICAND_MASK) * Math.pow(2, 32);
+    // combine the hi and lo bits and return
+    return significandHiBits + loBits;
+}
+//# sourceMappingURL=ieee754.js.map

~/.npm-cache/@opentelemetry/sdk-metrics@1.30.1@@@1/build/esnext/aggregator/exponential-histogram/mapping/types.d.ts

@@ -0,0 +1,13 @@
+export declare class MappingError extends Error {
+}
+/**
+ * The mapping interface is used by the exponential histogram to determine
+ * where to bucket values. The interface is implemented by ExponentMapping,
+ * used for scales [-10, 0] and LogarithmMapping, used for scales [1, 20].
+ */
+export interface Mapping {
+    mapToIndex(value: number): number;
+    lowerBoundary(index: number): number;
+    get scale(): number;
+}
+//# sourceMappingURL=types.d.ts.map

~/.npm-cache/@opentelemetry/sdk-metrics@1.30.1@@@1/build/esnext/aggregator/exponential-histogram/mapping/types.js

@@ -0,0 +1,18 @@
+/*
+ * Copyright The OpenTelemetry Authors
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+export class MappingError extends Error {
+}
+//# sourceMappingURL=types.js.map

~/.npm-cache/@opentelemetry/sdk-metrics@1.30.1@@@1/build/esnext/aggregator/exponential-histogram/mapping/types.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"types.js","sourceRoot":"","sources":["../../../../../src/aggregator/exponential-histogram/mapping/types.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;GAcG;AACH,MAAM,OAAO,YAAa,SAAQ,KAAK;CAAG","sourcesContent":["/*\n * Copyright The OpenTelemetry Authors\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      https://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\nexport class MappingError extends Error {}\n\n/**\n * The mapping interface is used by the exponential histogram to determine\n * where to bucket values. The interface is implemented by ExponentMapping,\n * used for scales [-10, 0] and LogarithmMapping, used for scales [1, 20].\n */\nexport interface Mapping {\n  mapToIndex(value: number): number;\n  lowerBoundary(index: number): number;\n  get scale(): number;\n}\n"]}

~/.npm-cache/@opentelemetry/sdk-metrics@1.30.1@@@1/build/esnext/aggregator/exponential-histogram/util.d.ts

@@ -0,0 +1,23 @@
+/**
+ * Note: other languages provide this as a built in function. This is
+ * a naive, but functionally correct implementation. This is used sparingly,
+ * when creating a new mapping in a running application.
+ *
+ * ldexp returns frac × 2**exp. With the following special cases:
+ *   ldexp(±0, exp) = ±0
+ *   ldexp(±Inf, exp) = ±Inf
+ *   ldexp(NaN, exp) = NaN
+ * @param frac
+ * @param exp
+ * @returns {number}
+ */
+export declare function ldexp(frac: number, exp: number): number;
+/**
+ * Computes the next power of two that is greater than or equal to v.
+ * This implementation more efficient than, but functionally equivalent
+ * to Math.pow(2, Math.ceil(Math.log(x)/Math.log(2))).
+ * @param v
+ * @returns {number}
+ */
+export declare function nextGreaterSquare(v: number): number;
+//# sourceMappingURL=util.d.ts.map

~/.npm-cache/@opentelemetry/sdk-metrics@1.30.1@@@1/build/esnext/aggregator/exponential-histogram/util.js

@@ -0,0 +1,58 @@
+/*
+ * Copyright The OpenTelemetry Authors
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+/**
+ * Note: other languages provide this as a built in function. This is
+ * a naive, but functionally correct implementation. This is used sparingly,
+ * when creating a new mapping in a running application.
+ *
+ * ldexp returns frac × 2**exp. With the following special cases:
+ *   ldexp(±0, exp) = ±0
+ *   ldexp(±Inf, exp) = ±Inf
+ *   ldexp(NaN, exp) = NaN
+ * @param frac
+ * @param exp
+ * @returns {number}
+ */
+export function ldexp(frac, exp) {
+    if (frac === 0 ||
+        frac === Number.POSITIVE_INFINITY ||
+        frac === Number.NEGATIVE_INFINITY ||
+        Number.isNaN(frac)) {
+        return frac;
+    }
+    return frac * Math.pow(2, exp);
+}
+/**
+ * Computes the next power of two that is greater than or equal to v.
+ * This implementation more efficient than, but functionally equivalent
+ * to Math.pow(2, Math.ceil(Math.log(x)/Math.log(2))).
+ * @param v
+ * @returns {number}
+ */
+export function nextGreaterSquare(v) {
+    // The following expression computes the least power-of-two
+    // that is >= v.  There are a number of tricky ways to
+    // do this, see https://stackoverflow.com/questions/466204/rounding-up-to-next-power-of-2
+    v--;
+    v |= v >> 1;
+    v |= v >> 2;
+    v |= v >> 4;
+    v |= v >> 8;
+    v |= v >> 16;
+    v++;
+    return v;
+}
+//# sourceMappingURL=util.js.map

~/.npm-cache/@opentelemetry/sdk-metrics@1.30.1@@@1/build/esnext/aggregator/exponential-histogram/util.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"util.js","sourceRoot":"","sources":["../../../../src/aggregator/exponential-histogram/util.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;GAcG;AAEH;;;;;;;;;;;;GAYG;AACH,MAAM,UAAU,KAAK,CAAC,IAAY,EAAE,GAAW;IAC7C,IACE,IAAI,KAAK,CAAC;QACV,IAAI,KAAK,MAAM,CAAC,iBAAiB;QACjC,IAAI,KAAK,MAAM,CAAC,iBAAiB;QACjC,MAAM,CAAC,KAAK,CAAC,IAAI,CAAC,EAClB;QACA,OAAO,IAAI,CAAC;KACb;IACD,OAAO,IAAI,GAAG,IAAI,CAAC,GAAG,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC;AACjC,CAAC;AAED;;;;;;GAMG;AACH,MAAM,UAAU,iBAAiB,CAAC,CAAS;IACzC,2DAA2D;IAC3D,sDAAsD;IACtD,yFAAyF;IACzF,CAAC,EAAE,CAAC;IACJ,CAAC,IAAI,CAAC,IAAI,CAAC,CAAC;IACZ,CAAC,IAAI,CAAC,IAAI,CAAC,CAAC;IACZ,CAAC,IAAI,CAAC,IAAI,CAAC,CAAC;IACZ,CAAC,IAAI,CAAC,IAAI,CAAC,CAAC;IACZ,CAAC,IAAI,CAAC,IAAI,EAAE,CAAC;IACb,CAAC,EAAE,CAAC;IACJ,OAAO,CAAC,CAAC;AACX,CAAC","sourcesContent":["/*\n * Copyright The OpenTelemetry Authors\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *      https://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\n/**\n * Note: other languages provide this as a built in function. This is\n * a naive, but functionally correct implementation. This is used sparingly,\n * when creating a new mapping in a running application.\n *\n * ldexp returns frac × 2**exp. With the following special cases:\n *   ldexp(±0, exp) = ±0\n *   ldexp(±Inf, exp) = ±Inf\n *   ldexp(NaN, exp) = NaN\n * @param frac\n * @param exp\n * @returns {number}\n */\nexport function ldexp(frac: number, exp: number): number {\n  if (\n    frac === 0 ||\n    frac === Number.POSITIVE_INFINITY ||\n    frac === Number.NEGATIVE_INFINITY ||\n    Number.isNaN(frac)\n  ) {\n    return frac;\n  }\n  return frac * Math.pow(2, exp);\n}\n\n/**\n * Computes the next power of two that is greater than or equal to v.\n * This implementation more efficient than, but functionally equivalent\n * to Math.pow(2, Math.ceil(Math.log(x)/Math.log(2))).\n * @param v\n * @returns {number}\n */\nexport function nextGreaterSquare(v: number): number {\n  // The following expression computes the least power-of-two\n  // that is >= v.  There are a number of tricky ways to\n  // do this, see https://stackoverflow.com/questions/466204/rounding-up-to-next-power-of-2\n  v--;\n  v |= v >> 1;\n  v |= v >> 2;\n  v |= v >> 4;\n  v |= v >> 8;\n  v |= v >> 16;\n  v++;\n  return v;\n}\n"]}