/**
 * Copyright (c) 2015-present, Facebook, Inc.
 * All rights reserved.
 *
 * This source code is licensed under the BSD+Patents license found in the
 * LICENSE file in the root directory of this source tree.
 */

// Copyright 2004-present Facebook. All Rights Reserved.

#include "../test/TestUtils.h"
#include "../../utils.h"
#include <cmath>
#include <gtest/gtest.h>
#include <set>
#include <sstream>
#include <time.h>
#include <unordered_map>

namespace faiss { namespace gpu {

inline float relativeError(float a, float b) {
  return std::abs(a - b) / (0.5f * (std::abs(a) + std::abs(b)));
}

// This seed is also used for the faiss float_rand API; in a test it
// is all within a single thread, so it is ok
long s_seed = 1;

void newTestSeed() {
  struct timespec t;
  clock_gettime(CLOCK_REALTIME, &t);

  setTestSeed(t.tv_nsec);
}

void setTestSeed(long seed) {
  printf("testing with random seed %ld\n", seed);

  srand48(seed);
  s_seed = seed;
}

int randVal(int a, int b) {
  EXPECT_GE(a, 0);
  EXPECT_LE(a, b);

  return a + (lrand48() % (b + 1 - a));
}

bool randBool() {
  return randSelect<bool>({true, false});
}

std::vector<float> randVecs(size_t num, size_t dim) {
  std::vector<float> v(num * dim);
  static bool first = true;

  faiss::float_rand(v.data(), v.size(), s_seed);
  // unfortunately we generate separate sets of vectors, and don't
  // want the same values
  ++s_seed;

  return v;
}

void compareIndices(faiss::Index& refIndex,
                    faiss::Index& testIndex,
                    int numQuery, int dim, int k,
                    const std::string& configMsg,
                    float maxRelativeError,
                    float pctMaxDiff1,
                    float pctMaxDiffN) {
  auto queries = faiss::gpu::randVecs(numQuery, dim);

  // Compare
  std::vector<float> refDistance(numQuery * k, 0);
  std::vector<faiss::Index::idx_t> refIndices(numQuery * k, -1);
  refIndex.search(numQuery, queries.data(),
                  k, refDistance.data(), refIndices.data());

  std::vector<float> testDistance(numQuery * k, 0);
  std::vector<faiss::Index::idx_t> testIndices(numQuery * k, -1);
  testIndex.search(numQuery, queries.data(),
                   k, testDistance.data(), testIndices.data());

  faiss::gpu::compareLists(refDistance.data(),
                           refIndices.data(),
                           testDistance.data(),
                           testIndices.data(),
                           numQuery, k,
                           configMsg,
                           true, false, true,
                           maxRelativeError, pctMaxDiff1, pctMaxDiffN);
}

template <typename T>
inline T lookup(const T* p, int i, int j, int /*dim1*/, int dim2) {
  return p[i * dim2 + j];
}

void compareLists(const float* refDist,
                  const faiss::Index::idx_t* refInd,
                  const float* testDist,
                  const faiss::Index::idx_t* testInd,
                  int dim1, int dim2,
                  const std::string& configMsg,
                  bool printBasicStats, bool printDiffs, bool assertOnErr,
                  float maxRelativeError,
                  float pctMaxDiff1,
                  float pctMaxDiffN) {

  float maxAbsErr = 0.0f;
  for (int i = 0; i < dim1 * dim2; ++i) {
    maxAbsErr = std::max(maxAbsErr, std::abs(refDist[i] - testDist[i]));
  }
  int numResults = dim1 * dim2;

  // query -> {index -> result position}
  std::vector<std::unordered_map<faiss::Index::idx_t, int>> refIndexMap;

  for (int query = 0; query < dim1; ++query) {
    std::unordered_map<faiss::Index::idx_t, int> indices;

    for (int result = 0; result < dim2; ++result) {
      indices[lookup(refInd, query, result, dim1, dim2)] = result;
    }

    refIndexMap.emplace_back(std::move(indices));
  }

  // See how far off the indices are
  // Keep track of the difference for each entry
  std::vector<std::vector<int>> indexDiffs;

  int diff1 = 0; // index differs by 1
  int diffN = 0; // index differs by >1
  int diffInf = 0; // index not found in the other
  int nonUniqueIndices = 0;

  double avgDiff = 0.0;
  int maxDiff = 0;
  float maxRelErr = 0.0f;

  for (int query = 0; query < dim1; ++query) {
    std::vector<int> diffs;
    std::set<faiss::Index::idx_t> uniqueIndices;

    auto& indices = refIndexMap[query];

    for (int result = 0; result < dim2; ++result) {
      auto t = lookup(testInd, query, result, dim1, dim2);

      // All indices reported within a query should be unique; this is
      // a serious error if is otherwise the case
      bool uniqueIndex = uniqueIndices.count(t) == 0;
      if (assertOnErr) {
        EXPECT_TRUE(uniqueIndex) << configMsg
                                 << " " << query
                                 << " " << result
                                 << " " << t;
      }

      if (!uniqueIndex) {
        ++nonUniqueIndices;
      } else {
        uniqueIndices.insert(t);
      }

      auto it = indices.find(t);
      if (it != indices.end()) {
        int diff = std::abs(result - it->second);
        diffs.push_back(diff);

        if (diff == 1) {
          ++diff1;
          maxDiff = std::max(diff, maxDiff);
        } else if (diff > 1) {
          ++diffN;
          maxDiff = std::max(diff, maxDiff);
        }

        avgDiff += (double) diff;
      } else {
        ++diffInf;
        diffs.push_back(-1);
        // don't count this for maxDiff
      }

      auto refD = lookup(refDist, query, result, dim1, dim2);
      auto testD = lookup(testDist, query, result, dim1, dim2);

      float relErr = relativeError(refD, testD);

      if (assertOnErr) {
        EXPECT_LE(relErr, maxRelativeError) << configMsg
                                            << " (" << query << ", " << result
                                            << ") refD: " << refD
                                            << " testD: " << testD;
      }

      maxRelErr = std::max(maxRelErr, relErr);
    }

    indexDiffs.emplace_back(std::move(diffs));
  }

  if (assertOnErr) {
    EXPECT_LE((float) (diff1 + diffN + diffInf),
              (float) numResults * pctMaxDiff1) << configMsg;

    // Don't count diffInf because that could be diff1 as far as we
    // know
    EXPECT_LE((float) diffN, (float) numResults * pctMaxDiffN) << configMsg;
  }

  avgDiff /= (double) numResults;

  if (printBasicStats) {
    if (!configMsg.empty()) {
      printf("Config\n"
             "----------------------------\n"
             "%s\n",
             configMsg.c_str());
    }

    printf("Result error and differences\n"
           "----------------------------\n"
           "max abs diff %.7f rel diff %.7f\n"
           "idx diff avg: %.5g max: %d\n"
           "idx diff of 1:      %d (%.3f%% of queries)\n"
           "idx diff of >1:     %d (%.3f%% of queries)\n"
           "idx diff not found: %d (%.3f%% of queries)"
           " [typically a last element inversion]\n"
           "non-unique indices: %d (a serious error if >0)\n",
           maxAbsErr, maxRelErr,
           avgDiff, maxDiff,
           diff1, 100.0f * (float) diff1 / (float) numResults,
           diffN, 100.0f * (float) diffN / (float) numResults,
           diffInf, 100.0f * (float) diffInf / (float) numResults,
           nonUniqueIndices);
  }

  if (printDiffs) {
    printf("differences:\n");
    printf("==================\n");
    for (int query = 0; query < dim1; ++query) {
      for (int result = 0; result < dim2; ++result) {
        long refI = lookup(refInd, query, result, dim1, dim2);
        long testI = lookup(testInd, query, result, dim1, dim2);

        if (refI != testI) {
          float refD = lookup(refDist, query, result, dim1, dim2);
          float testD = lookup(testDist, query, result, dim1, dim2);

          float maxDist = std::max(refD, testD);
          float delta = std::abs(refD - testD);

          float relErr = delta / maxDist;

          if (refD == testD) {
            printf("(%d, %d [%d]) (ref %ld tst %ld dist ==)\n",
                   query, result,
                   indexDiffs[query][result],
                   refI, testI);
          } else {
            printf("(%d, %d [%d]) (ref %ld tst %ld abs %.8f "
                   "rel %.8f ref %a tst %a)\n",
                   query, result,
                   indexDiffs[query][result],
                   refI, testI, delta, relErr, refD, testD);
          }
        }
      }
    }
  }
}

} }
