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okcurl/src/test/kotlin/okhttp3/curl/MainTest.kt
assertThat(body!!.contentType().toString()).isEqualTo( "application/x-www-form-urlencoded; charset=utf-8", ) assertThat(bodyAsString(body)).isEqualTo("foo") } @Test fun dataPut() { val request = fromArgs("-d", "foo", "-X", "PUT", "http://example.com").createRequest() val body = request.body assertThat(request.method).isEqualTo("PUT")
Registered: Fri Nov 01 11:42:11 UTC 2024 - Last Modified: Mon Jan 08 01:13:22 UTC 2024 - 4.3K bytes - Viewed (0) -
android/guava-tests/test/com/google/common/math/QuantilesAlgorithmTest.java
private double[] dataset; @Override protected void setUp() { dataset = new double[DATASET_SIZE]; for (int i = 0; i < DATASET_SIZE; i++) { dataset[i] = RNG.nextDouble(); } } public void testSingleQuantile_median() { double referenceValue = REFERENCE_ALGORITHM.singleQuantile(1, 2, dataset.clone());
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Mon Dec 04 17:37:03 UTC 2017 - 3.4K bytes - Viewed (0) -
android/guava/src/com/google/common/math/PairedStatsAccumulator.java
* * <p>This is guaranteed to return zero if the dataset contains a single pair of finite values. It * is not guaranteed to return zero when the dataset consists of the same pair of values multiple * times, due to numerical errors. * * <h3>Non-finite values</h3> * * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 10.3K bytes - Viewed (0) -
android/guava-tests/test/com/google/common/math/QuantilesTest.java
long[] dataset = Longs.toArray(SIXTEEN_SQUARES_LONGS); assertThat(Quantiles.scale(10).index(1).compute(dataset)) .isWithin(ALLOWED_ERROR) .of(SIXTEEN_SQUARES_DECILE_1); assertThat(dataset).asList().isEqualTo(SIXTEEN_SQUARES_LONGS); } public void testScale_index_compute_intVarargs() { int[] dataset = Ints.toArray(SIXTEEN_SQUARES_INTEGERS);
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Wed Sep 06 17:04:31 UTC 2023 - 29.7K bytes - Viewed (0) -
android/guava/src/com/google/common/math/PairedStats.java
* * <p>This is guaranteed to return zero if the dataset contains a single pair of finite values. It * is not guaranteed to return zero when the dataset consists of the same pair of values multiple * times, due to numerical errors. * * <h3>Non-finite values</h3> * * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 12.6K bytes - Viewed (0) -
android/guava/src/com/google/common/math/StatsAccumulator.java
* * <p>This is guaranteed to return zero if the dataset contains only exactly one finite value. It * is not guaranteed to return zero when the dataset consists of the same value multiple times, * due to numerical errors. However, it is guaranteed never to return a negative result. * * <h3>Non-finite values</h3> * * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Wed Oct 23 16:45:30 UTC 2024 - 15.8K bytes - Viewed (0) -
guava/src/com/google/common/math/PairedStatsAccumulator.java
* * <p>This is guaranteed to return zero if the dataset contains a single pair of finite values. It * is not guaranteed to return zero when the dataset consists of the same pair of values multiple * times, due to numerical errors. * * <h3>Non-finite values</h3> * * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 10.3K bytes - Viewed (0) -
android/guava-tests/benchmark/com/google/common/math/QuantilesBenchmark.java
for (int j = 0; j < datasetSize; j++) { datasets[i][j] = rng.nextDouble(); } } } private double[] dataset(int i) { // We must test on a fresh clone of the dataset each time. Doing sorts and quickselects on a // dataset which is already sorted or partially sorted is cheating. return datasets[i & 0xFF].clone(); } @Benchmark double median(int reps) {
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Mon Oct 10 19:45:10 UTC 2022 - 3.1K bytes - Viewed (0) -
guava-tests/benchmark/com/google/common/math/QuantilesBenchmark.java
for (int j = 0; j < datasetSize; j++) { datasets[i][j] = rng.nextDouble(); } } } private double[] dataset(int i) { // We must test on a fresh clone of the dataset each time. Doing sorts and quickselects on a // dataset which is already sorted or partially sorted is cheating. return datasets[i & 0xFF].clone(); } @Benchmark double median(int reps) {
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Mon Oct 10 19:45:10 UTC 2022 - 3.1K bytes - Viewed (0) -
guava-tests/test/com/google/common/math/QuantilesAlgorithm.java
@Override double singleQuantile(int index, int scale, double[] dataset) { Arrays.sort(dataset); return singleQuantileFromSorted(index, scale, dataset); } @Override Map<Integer, Double> multipleQuantiles( Collection<Integer> indexes, int scale, double[] dataset) { Arrays.sort(dataset); ImmutableMap.Builder<Integer, Double> builder = ImmutableMap.builder();
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Tue Feb 01 16:30:37 UTC 2022 - 7.1K bytes - Viewed (0)