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How to use _getdict method in tox

Best Python code snippet using tox_python

__init__.py

Source:__init__.py

...68            heapq.heappush(trees, parent)69        self.tree = trees[0]70    def encoder(self):71        "get decoder instance"72        return HuffEncoder(HuffTree._getdict(self.tree))73    def decoder(self):74        "get decoder instance"75        return HuffDecoder(HuffTree._flatten(self.tree))76    @staticmethod77    def _getdict(huffTree,bits=BitArray()):78        if len(huffTree) == 2:79            yield huffTree[1],bits80        else:81            for ix,h in enumerate(huffTree[1:3]):82                for y in HuffTree._getdict(h,bits+(ix,)):83                    yield y84            85    @staticmethod86    def _flatten(huffTree):87        assert len(huffTree) > 288        l = []89        for h in huffTree[1:3]:90            if len(h) == 2:91                l.append(0)92                l.append(h[1])93            else:94                t = HuffTree._flatten(h)95                l.append(len(t))96                l += t...

hash_demo.py

Source:hash_demo.py

1#coding=utf-82'''3Created on 2016-7-3145@author: kemin.yu6'''78num = 69factor = 210#table = [None] * num*factor11size = 10012table = [None] * size1314def _print_table():15    print "====== table ======"16    line1 = line2 = ""17    for i in range(size):18        line1 += " %4s ," % i19        if table[i] is None:20            line2 += " %4s ," % ""21        else:22            line2 += " %4s ," % table[i]23        if (i+1) % 20 == 0:24            print line125            print line226            print "--------------------"27            line1 = line2 = ""2829def _getDict(n):30    import random31    result = {}32    for i in range(n):33        k = random.randint(0, n*factor-1)34        result[k] = str(i)35    return result36    37# hash(k, v)38# t: table39# k: int40# v: str4142# ç´æ¥å®åæ³ 43def hash1(k, v, t):44    t[k] = v45    46def demo1():47    d = _getDict(num)48    for k, v in d.items():49        hash1(k, v, table)50    print sorted(d.items())51    _print_table()52    53def hash1b(k, v, t):54    def linear(a, b):55        return a*k+b56    t[linear(2, 3)] = v57    58def demo1b():59    d = _getDict(num)60    for k, v in d.items():61        hash1b(k, v, table)62    print sorted(d.items())63    _print_table()6465#æ°ååææ³66# å¹³æ¹åä¸67def hash2(k, v, t):68    index = k * k / 100 % 10069    t[index] = v70    71def demo2():72    d = {1123: "zero", 2356: "mike", 3921: "john"}73    for k, v in d.items():74        hash2(k, v, table)75    print sorted(d.items())76    _print_table()77    78# æå æ³79def hash2b(k, v, t):80    rest = k;81    sum = 082    while rest > 100:83        sum += rest % 10084        rest = rest / 10085    sum += rest86    sum %= 10087    t[sum] = v88    89def demo2b():90    d = {11234578: "zero", 23212356: "mike", 39215672: "john"}91    for k, v in d.items():92        hash2b(k, v, table)93    print sorted(d.items())94    _print_table()95    96# é¤çä½æ°æ³97def hash2c(k, v, t):98    t[k%100] = v99    100def demo2c():101    d = {11234578: "zero", 23212356: "mike", 39215672: "john"}102    for k, v in d.items():103        hash2c(k, v, table)104    print sorted(d.items())105    _print_table()106    107# éæºæ°æ³108def hash2d(k, v, t):109    import random110    t[random.randint(0, 99)] = v111    112def demo2d():113    d = _getDict(num)114    for k, v in d.items():115        hash2d(k, v, table)116    print sorted(d.items())117    _print_table()118119def demo():120    d = _getDict(10)121    print d, len(d)122    print table123    _print_table()124125if __name__ == '__main__':126    demo2d()
...

test_peak_validation.py

Source:test_peak_validation.py

1# flake8: noqa2import unittest3import pytest4from lmfit import Model5import raman_fitting6from raman_fitting.deconvolution_models.peak_validation import (7    NotFoundAnyModelsWarning,8    PeakModelValidator,9)10class TestPeakModelValidator(unittest.TestCase):11    def setUp(self):12        self.pmv = PeakModelValidator()13    def test_pmv_valid_models(self):14        self.assertTrue(self.pmv.valid_models)15    def test_pmv_set_debug(self):16        self.assertFalse(self.pmv.debug)17        self.assertTrue(self.pmv._set_debug(**{"debug": True}))18    def test_get_subclasses_from_base(self):19        with self.assertWarns(NotFoundAnyModelsWarning):20            self.pmv.get_subclasses_from_base("")21        with self.assertWarns(NotFoundAnyModelsWarning):22            self.pmv.get_subclasses_from_base(str)23    def test_validation_inspect_models(self):24        _valid = self.pmv.validation_inspect_models([str])25        self.assertTrue(_valid)26        self.assertFalse(_valid[1][0].valid)27        self.assertIn("has no attr", _valid[1][0].message)28        _valid = self.pmv.validation_inspect_models([Model])29        self.assertTrue(_valid)30        self.assertFalse(_valid[1][0].valid)31        self.assertIn("Unable to initialize model", _valid[1][0].message)32    def test_get_cmap_list(self):33        _cmap = self.pmv.get_cmap_list([], cmap_options=())34        self.assertEqual(_cmap, [])35        _cmap = self.pmv.get_cmap_list(36            [1] * 50, cmap_options=(), fallback_color=self.pmv.fallback_color37        )38        self.assertEqual(_cmap, [self.pmv.fallback_color] * 50)39        _cmap = self.pmv.get_cmap_list([1] * 5)40        self.assertEqual(len(_cmap), 5)41    def test___getattr__(self):42        with self.assertRaises(AttributeError):43            self.pmv.fake_attr44    def test___iter__(self):45        _iter = [i for i in self.pmv]46        self.assertIsInstance(_iter, list)47    def test_if_lmfit_models(self):48        if self.pmv.lmfit_models:49            _getdict = self.pmv.get_dict()50            self.assertIsInstance(_getdict, dict)51            _getdict = self.pmv.get_model_dict(self.pmv.lmfit_models)52            self.assertIsInstance(_getdict, dict)53def _debugging():54    self = TestPeakModelValidator()55    peaks = PeakModelValidator()56    self.pmv = peaks57    # all([isinstance(i.peak_model, Model) for i in peaks.lmfit_models])58    # all([isinstance(i.peak_model, Model) for i in peaks.get_dict().values()])59if __name__ == "__main__":...

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