source stringclasses 2 values | version stringclasses 2 values | module stringclasses 53 values | function stringclasses 318 values | input stringlengths 3 496 | expected stringlengths 0 876 | signature stringclasses 41 values |
|---|---|---|---|---|---|---|
cpython | 3.10 | statistics | StatisticsError._sum | >>> from decimal import Decimal as D | null | |
cpython | 3.10 | statistics | StatisticsError._sum | >>> data = [D("0.1375"), D("0.2108"), D("0.3061"), D("0.0419")] | null | |
cpython | 3.10 | statistics | StatisticsError._sum | >>> _sum(data) | (<class 'decimal.Decimal'>, Fraction(6963, 10000), 4) | null |
cpython | 3.10 | statistics | StatisticsError._exact_ratio | >>> _exact_ratio(0.25) | (1, 4)
x is expected to be an int, Fraction, Decimal or float. | null |
cpython | 3.10 | statistics | StatisticsError.mean | >>> mean([1, 2, 3, 4, 4]) | 2.8 | null |
cpython | 3.10 | statistics | StatisticsError.mean | >>> from fractions import Fraction as F | null | |
cpython | 3.10 | statistics | StatisticsError.mean | >>> mean([F(3, 7), F(1, 21), F(5, 3), F(1, 3)]) | Fraction(13, 21) | null |
cpython | 3.10 | statistics | StatisticsError.mean | >>> from decimal import Decimal as D | null | |
cpython | 3.10 | statistics | StatisticsError.mean | >>> mean([D("0.5"), D("0.75"), D("0.625"), D("0.375")]) | Decimal('0.5625') | null |
cpython | 3.10 | statistics | StatisticsError.fmean | >>> fmean([3.5, 4.0, 5.25]) | 4.25 | null |
cpython | 3.10 | statistics | StatisticsError.geometric_mean | >>> round(geometric_mean([54, 24, 36]), 9) | 36.0 | null |
cpython | 3.10 | statistics | StatisticsError.harmonic_mean | >>> harmonic_mean([40, 60]) | 48.0 | null |
cpython | 3.10 | statistics | StatisticsError.harmonic_mean | >>> harmonic_mean([40, 60], weights=[5, 30]) | 56.0 | null |
cpython | 3.10 | statistics | StatisticsError.median | >>> median([1, 3, 5]) | 3 | null |
cpython | 3.10 | statistics | StatisticsError.median | >>> median([1, 3, 5, 7]) | 4.0 | null |
cpython | 3.10 | statistics | StatisticsError.median_low | >>> median_low([1, 3, 5]) | 3 | null |
cpython | 3.10 | statistics | StatisticsError.median_low | >>> median_low([1, 3, 5, 7]) | 3 | null |
cpython | 3.10 | statistics | StatisticsError.median_high | >>> median_high([1, 3, 5]) | 3 | null |
cpython | 3.10 | statistics | StatisticsError.median_high | >>> median_high([1, 3, 5, 7]) | 5 | null |
cpython | 3.10 | statistics | StatisticsError.median_grouped | >>> median_grouped([1, 2, 2, 3, 4, 4, 4, 4, 4, 5]) | 3.7 | null |
cpython | 3.10 | statistics | StatisticsError.median_grouped | >>> median_grouped([52, 52, 53, 54]) | 52.5 | null |
cpython | 3.10 | statistics | StatisticsError.median_grouped | >>> median_grouped([1, 3, 3, 5, 7], interval=1) | 3.25 | null |
cpython | 3.10 | statistics | StatisticsError.median_grouped | >>> median_grouped([1, 3, 3, 5, 7], interval=2) | 3.5 | null |
cpython | 3.10 | statistics | 3.mode | >>> mode([1, 1, 2, 3, 3, 3, 3, 4]) | 3 | null |
cpython | 3.10 | statistics | 3.mode | >>> mode(["red", "blue", "blue", "red", "green", "red", "red"]) | 'red' | null |
cpython | 3.10 | statistics | 3.mode | >>> mode(['red', 'red', 'green', 'blue', 'blue']) | 'red' | null |
cpython | 3.10 | statistics | 3.multimode | >>> multimode('aabbbbbbbbcc') | ['b'] | null |
cpython | 3.10 | statistics | 3.multimode | >>> multimode('aabbbbccddddeeffffgg') | ['b', 'd', 'f'] | null |
cpython | 3.10 | statistics | 3.multimode | >>> multimode('') | [] | null |
cpython | 3.10 | statistics | 3.variance | >>> data = [2.75, 1.75, 1.25, 0.25, 0.5, 1.25, 3.5] | null | |
cpython | 3.10 | statistics | 3.variance | >>> variance(data) | 1.3720238095238095 | null |
cpython | 3.10 | statistics | 3.variance | >>> m = mean(data) | null | |
cpython | 3.10 | statistics | 3.variance | >>> variance(data, m) | 1.3720238095238095 | null |
cpython | 3.10 | statistics | 3.variance | >>> from decimal import Decimal as D | null | |
cpython | 3.10 | statistics | 3.variance | >>> variance([D("27.5"), D("30.25"), D("30.25"), D("34.5"), D("41.75")]) | Decimal('31.01875') | null |
cpython | 3.10 | statistics | 3.variance | >>> from fractions import Fraction as F | null | |
cpython | 3.10 | statistics | 3.variance | >>> variance([F(1, 6), F(1, 2), F(5, 3)]) | Fraction(67, 108) | null |
cpython | 3.10 | statistics | 3.pvariance | >>> data = [0.0, 0.25, 0.25, 1.25, 1.5, 1.75, 2.75, 3.25] | null | |
cpython | 3.10 | statistics | 3.pvariance | >>> pvariance(data) | 1.25 | null |
cpython | 3.10 | statistics | 3.pvariance | >>> mu = mean(data) | null | |
cpython | 3.10 | statistics | 3.pvariance | >>> pvariance(data, mu) | 1.25 | null |
cpython | 3.10 | statistics | 3.pvariance | >>> from decimal import Decimal as D | null | |
cpython | 3.10 | statistics | 3.pvariance | >>> pvariance([D("27.5"), D("30.25"), D("30.25"), D("34.5"), D("41.75")]) | Decimal('24.815') | null |
cpython | 3.10 | statistics | 3.pvariance | >>> from fractions import Fraction as F | null | |
cpython | 3.10 | statistics | 3.pvariance | >>> pvariance([F(1, 4), F(5, 4), F(1, 2)]) | Fraction(13, 72) | null |
cpython | 3.10 | statistics | 3.stdev | >>> stdev([1.5, 2.5, 2.5, 2.75, 3.25, 4.75]) | 1.0810874155219827 | null |
cpython | 3.10 | statistics | 3.pstdev | >>> pstdev([1.5, 2.5, 2.5, 2.75, 3.25, 4.75]) | 0.986893273527251 | null |
cpython | 3.10 | statistics | 3.covariance | >>> x = [1, 2, 3, 4, 5, 6, 7, 8, 9] | null | |
cpython | 3.10 | statistics | 3.covariance | >>> y = [1, 2, 3, 1, 2, 3, 1, 2, 3] | null | |
cpython | 3.10 | statistics | 3.covariance | >>> covariance(x, y) | 0.75 | null |
cpython | 3.10 | statistics | 3.covariance | >>> z = [9, 8, 7, 6, 5, 4, 3, 2, 1] | null | |
cpython | 3.10 | statistics | 3.covariance | >>> covariance(x, z) | -7.5 | null |
cpython | 3.10 | statistics | 3.covariance | >>> covariance(z, x) | -7.5 | null |
cpython | 3.10 | statistics | 3.correlation | >>> x = [1, 2, 3, 4, 5, 6, 7, 8, 9] | null | |
cpython | 3.10 | statistics | 3.correlation | >>> y = [9, 8, 7, 6, 5, 4, 3, 2, 1] | null | |
cpython | 3.10 | statistics | 3.correlation | >>> correlation(x, x) | 1.0 | null |
cpython | 3.10 | statistics | 3.correlation | >>> correlation(x, y) | -1.0 | null |
cpython | 3.10 | statistics | 3.linear_regression | >>> x = [1, 2, 3, 4, 5] | null | |
cpython | 3.10 | statistics | 3.linear_regression | >>> noise = NormalDist().samples(5, seed=42) | null | |
cpython | 3.10 | statistics | 3.linear_regression | >>> y = [3 * x[i] + 2 + noise[i] for i in range(5)] | null | |
cpython | 3.10 | statistics | 3.linear_regression | >>> linear_regression(x, y) #doctest: +ELLIPSIS | LinearRegression(slope=3.09078914170..., intercept=1.75684970486...) | null |
cpython | 3.10 | statistics | NormalDist.overlap | >>> N1 = NormalDist(2.4, 1.6) | null | |
cpython | 3.10 | statistics | NormalDist.overlap | >>> N2 = NormalDist(3.2, 2.0) | null | |
cpython | 3.10 | statistics | NormalDist.overlap | >>> N1.overlap(N2) | 0.8035050657330205 | null |
cpython | 3.10 | doctest | _SpoofOut._ellipsis_match | >>> _ellipsis_match('aa...aa', 'aaa') | False | null |
cpython | 3.10 | doctest | DocTestRunner | >>> tests = DocTestFinder().find(_TestClass) | null | |
cpython | 3.10 | doctest | DocTestRunner | >>> runner = DocTestRunner(verbose=False) | null | |
cpython | 3.10 | doctest | DocTestRunner | >>> tests.sort(key = lambda test: test.name) | null | |
cpython | 3.10 | doctest | DocTestRunner | >>> for test in tests:
... print(test.name, '->', runner.run(test)) | _TestClass -> TestResults(failed=0, attempted=2)
_TestClass.__init__ -> TestResults(failed=0, attempted=2)
_TestClass.get -> TestResults(failed=0, attempted=2)
_TestClass.square -> TestResults(failed=0, attempted=1) | null |
cpython | 3.10 | doctest | DocTestRunner | >>> runner.summarize(verbose=1) | 4 items passed all tests:
2 tests in _TestClass
2 tests in _TestClass.__init__
2 tests in _TestClass.get
1 tests in _TestClass.square
7 tests in 4 items.
7 passed and 0 failed.
Test passed.
TestResults(failed=0, attempted=7) | null |
cpython | 3.10 | doctest | DocTestRunner | >>> runner.tries | 7 | null |
cpython | 3.10 | doctest | DocTestRunner | >>> runner.failures | 0 | null |
cpython | 3.10 | doctest | DebugRunner | >>> runner = DebugRunner(verbose=False) | null | |
cpython | 3.10 | doctest | DebugRunner | >>> test = DocTestParser().get_doctest('>>> raise KeyError\n42',
... {}, 'foo', 'foo.py', 0) | null | |
cpython | 3.10 | doctest | DebugRunner | >>> try:
... runner.run(test)
... except UnexpectedException as f:
... failure = f | null | |
cpython | 3.10 | doctest | DebugRunner | >>> failure.test is test | True | null |
cpython | 3.10 | doctest | DebugRunner | >>> failure.example.want | '42\n' | null |
cpython | 3.10 | doctest | DebugRunner | >>> exc_info = failure.exc_info | null | |
cpython | 3.10 | doctest | DebugRunner | >>> raise exc_info[1] # Already has the traceback | Traceback (most recent call last):
...
KeyError | null |
cpython | 3.10 | doctest | DebugRunner | >>> test = DocTestParser().get_doctest('''
... >>> x = 1
... >>> x
... 2
... ''', {}, 'foo', 'foo.py', 0) | null | |
cpython | 3.10 | doctest | DebugRunner | >>> try:
... runner.run(test)
... except DocTestFailure as f:
... failure = f | null | |
cpython | 3.10 | doctest | DebugRunner | >>> failure.test is test | True | null |
cpython | 3.10 | doctest | DebugRunner | >>> failure.example.want | '2\n'
and the actual output: | null |
cpython | 3.10 | doctest | DebugRunner | >>> failure.got | '1\n' | null |
cpython | 3.10 | doctest | DebugRunner | >>> del test.globs['__builtins__'] | null | |
cpython | 3.10 | doctest | DebugRunner | >>> test.globs | {'x': 1} | null |
cpython | 3.10 | doctest | DebugRunner | >>> test = DocTestParser().get_doctest('''
... >>> x = 2
... >>> raise KeyError
... ''', {}, 'foo', 'foo.py', 0) | null | |
cpython | 3.10 | doctest | DebugRunner | >>> runner.run(test) | Traceback (most recent call last):
...
doctest.UnexpectedException: <DocTest foo from foo.py:0 (2 examples)> | null |
cpython | 3.10 | doctest | DebugRunner | >>> del test.globs['__builtins__'] | null | |
cpython | 3.10 | doctest | DebugRunner | >>> test.globs | {'x': 2} | null |
cpython | 3.10 | doctest | DebugRunner | >>> test = DocTestParser().get_doctest('''
... >>> x = 2
... ''', {}, 'foo', 'foo.py', 0) | null | |
cpython | 3.10 | doctest | DebugRunner | >>> runner.run(test) | TestResults(failed=0, attempted=1) | null |
cpython | 3.10 | doctest | DebugRunner | >>> test.globs | {} | null |
cpython | 3.10 | doctest | doctest.set_unittest_reportflags | >>> import doctest | null | |
cpython | 3.10 | doctest | doctest.set_unittest_reportflags | >>> old = doctest._unittest_reportflags | null | |
cpython | 3.10 | doctest | doctest.set_unittest_reportflags | >>> doctest.set_unittest_reportflags(REPORT_NDIFF |
... REPORT_ONLY_FIRST_FAILURE) == old | True | null |
cpython | 3.10 | doctest | doctest.set_unittest_reportflags | >>> doctest._unittest_reportflags == (REPORT_NDIFF |
... REPORT_ONLY_FIRST_FAILURE) | True | null |
cpython | 3.10 | doctest | doctest.set_unittest_reportflags | >>> doctest.set_unittest_reportflags(ELLIPSIS) | Traceback (most recent call last):
...
ValueError: ('Only reporting flags allowed', 8) | null |
cpython | 3.10 | doctest | doctest.set_unittest_reportflags | >>> doctest.set_unittest_reportflags(old) == (REPORT_NDIFF |
... REPORT_ONLY_FIRST_FAILURE) | True | null |
cpython | 3.10 | doctest | DocTestCase.debug | >>> test = DocTestParser().get_doctest('>>> raise KeyError\n42',
... {}, 'foo', 'foo.py', 0) | null |
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