How to use is_nan method in assertpy

Best Python code snippet using assertpy_python Github


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...22 orig = {orig}23 meta = orig24 self.val = val25 self.meta = meta26 def is_nan(self):27 return pd.isnull(self.val)28 # def isna(self):29 # return pd.isnull(self.val)30 def __hash__(self):31 return hash(self.val)32 # def __str__(self):34 return str(self.val) + "`"35 # return str(self.val) + "_" + str(self.meta)36 # return repr(self)37 def __repr__(self):38 return "Trace(" + repr(self.val) + ', ' + repr(self.meta) + ')'39 def __add__(self, other):40 if not isinstance(other, Trace):41 other = Trace(other)42 if self.is_nan() and other.is_nan():43 return Trace(pd.NA, self.meta | other.meta)44 if self.is_nan():45 return self46 if other.is_nan():47 return other48 return Trace(self.val + other.val, self.meta | other.meta)49 def __sub__(self, other):50 if not isinstance(other, Trace):51 other = Trace(other)52 if self.is_nan() and other.is_nan():53 return Trace(pd.NA, self.meta | other.meta)54 if self.is_nan():55 return self56 if other.is_nan():57 return other58 return Trace(self.val - other.val, self.meta | other.meta)59 def __mul__(self, other):60 if not isinstance(other, Trace):61 other = Trace(other)62 if self.is_nan() and other.is_nan():63 return Trace(pd.NA, self.meta | other.meta)64 if self.is_nan():65 return self66 if other.is_nan():67 return other68 return Trace(self.val * other.val, self.meta | other.meta)69 def __truediv__(self, other):70 if not isinstance(other, Trace):71 other = Trace(other)72 if self.is_nan() and other.is_nan():73 return Trace(pd.NA, self.meta | other.meta)74 if self.is_nan():75 return self76 if other.is_nan():77 return other78 return Trace(self.val / other.val, self.meta | other.meta)79 def __floordiv__(self, other):80 if not isinstance(other, Trace):81 other = Trace(other)82 if self.is_nan() and other.is_nan():83 return Trace(pd.NA, self.meta | other.meta)84 if self.is_nan():85 return self86 if other.is_nan():87 return other88 return Trace(self.val // other.val, self.meta | other.meta)89 def __mod__(self, other):90 if not isinstance(other, Trace):91 other = Trace(other)92 if self.is_nan() and other.is_nan():93 return Trace(pd.NA, self.meta | other.meta)94 if self.is_nan():95 return self96 if other.is_nan():97 return other98 return Trace(self.val % other.val, self.meta | other.meta)99 # skip divmod for now100 def __pow__(self, other):101 if not isinstance(other, Trace):102 other = Trace(other)103 if self.is_nan() and other.is_nan():104 return Trace(pd.NA, self.meta | other.meta)105 if self.is_nan():106 return self107 if other.is_nan():108 return other109 return Trace(self.val ** other.val, self.meta | other.meta)110 def __lshift__(self, other):111 if not isinstance(other, Trace):112 other = Trace(other)113 if self.is_nan() and other.is_nan():114 return Trace(pd.NA, self.meta | other.meta)115 if self.is_nan():116 return self117 if other.is_nan():118 return other119 return Trace(self.val << other.val, self.meta | other.meta)120 def __rshift__(self, other):121 if not isinstance(other, Trace):122 other = Trace(other)123 if self.is_nan() and other.is_nan():124 return Trace(pd.NA, self.meta | other.meta)125 if self.is_nan():126 return self127 if other.is_nan():128 return other129 return Trace(self.val >> other.val, self.meta | other.meta)130 def __and__(self, other):131 if not isinstance(other, Trace):132 other = Trace(other)133 if self.is_nan() and other.is_nan():134 return Trace(pd.NA, self.meta | other.meta)135 if self.is_nan():136 return self137 if other.is_nan():138 return other139 return Trace(self.val & other.val, self.meta | other.meta)140 def __xor__(self, other):141 if not isinstance(other, Trace):142 other = Trace(other)143 if self.is_nan() and other.is_nan():144 return Trace(pd.NA, self.meta | other.meta)145 if self.is_nan():146 return self147 if other.is_nan():148 return other149 return Trace(self.val ^ other.val, self.meta | other.meta)150 def __or__(self, other):151 if not isinstance(other, Trace):152 other = Trace(other)153 if self.is_nan() and other.is_nan():154 return Trace(pd.NA, self.meta | other.meta)155 if self.is_nan():156 return self157 if other.is_nan():158 return other159 return Trace(self.val | other.val, self.meta | other.meta)160 # r161 def __radd__(self, other):162 if not isinstance(other, Trace):163 other = Trace(other)164 if self.is_nan() and other.is_nan():165 return Trace(pd.NA, self.meta | other.meta)166 if self.is_nan():167 return self168 if other.is_nan():169 return other170 return Trace(other.val + self.val, self.meta | other.meta)171 def __rsub__(self, other):172 if not isinstance(other, Trace):173 other = Trace(other)174 if self.is_nan() and other.is_nan():175 return Trace(pd.NA, self.meta | other.meta)176 if self.is_nan():177 return self178 if other.is_nan():179 return other180 return Trace(other.val - self.val, self.meta | other.meta)181 def __rmul__(self, other):182 if not isinstance(other, Trace):183 other = Trace(other)184 if self.is_nan() and other.is_nan():185 return Trace(pd.NA, self.meta | other.meta)186 if self.is_nan():187 return self188 if other.is_nan():189 return other190 return Trace(other.val * self.val, self.meta | other.meta)191 def __rtruediv__(self, other):192 if not isinstance(other, Trace):193 other = Trace(other)194 if self.is_nan() and other.is_nan():195 return Trace(pd.NA, self.meta | other.meta)196 if self.is_nan():197 return self198 if other.is_nan():199 return other200 return Trace(other.val / self.val, self.meta | other.meta)201 def __rfloordiv__(self, other):202 if not isinstance(other, Trace):203 other = Trace(other)204 if self.is_nan() and other.is_nan():205 return Trace(pd.NA, self.meta | other.meta)206 if self.is_nan():207 return self208 if other.is_nan():209 return other210 return Trace(other.val // self.val, self.meta | other.meta)211 def __rmod__(self, other):212 if not isinstance(other, Trace):213 other = Trace(other)214 if self.is_nan() and other.is_nan():215 return Trace(pd.NA, self.meta | other.meta)216 if self.is_nan():217 return self218 if other.is_nan():219 return other220 return Trace(other.val % self.val, self.meta | other.meta)221 # skip rdivmod for now222 def __rpow__(self, other):223 if not isinstance(other, Trace):224 other = Trace(other)225 if self.is_nan() and other.is_nan():226 return Trace(pd.NA, self.meta | other.meta)227 if self.is_nan():228 return self229 if other.is_nan():230 return other231 return Trace(other.val ** self.val, self.meta | other.meta)232 def __rlshift__(self, other):233 if not isinstance(other, Trace):234 other = Trace(other)235 if self.is_nan() and other.is_nan():236 return Trace(pd.NA, self.meta | other.meta)237 if self.is_nan():238 return self239 if other.is_nan():240 return other241 return Trace(other.val << self.val, self.meta | other.meta)242 def __rrshift__(self, other):243 if not isinstance(other, Trace):244 other = Trace(other)245 if self.is_nan() and other.is_nan():246 return Trace(pd.NA, self.meta | other.meta)247 if self.is_nan():248 return self249 if other.is_nan():250 return other251 return Trace(other.val >> self.val, self.meta | other.meta)252 def __rand__(self, other):253 if not isinstance(other, Trace):254 other = Trace(other)255 if self.is_nan() and other.is_nan():256 return Trace(pd.NA, self.meta | other.meta)257 if self.is_nan():258 return self259 if other.is_nan():260 return other261 return Trace(other.val & self.val, self.meta | other.meta)262 def __rxor__(self, other):263 if not isinstance(other, Trace):264 other = Trace(other)265 if self.is_nan() and other.is_nan():266 return Trace(pd.NA, self.meta | other.meta)267 if self.is_nan():268 return self269 if other.is_nan():270 return other271 return Trace(other.val ^ self.val, self.meta | other.meta)272 def __ror__(self, other):273 if not isinstance(other, Trace):274 other = Trace(other)275 if self.is_nan() and other.is_nan():276 return Trace(pd.NA, self.meta | other.meta)277 if self.is_nan():278 return self279 if other.is_nan():280 return other281 return Trace(other.val | self.val, self.meta | other.meta)282 # unary283 def __neg__(self):284 return Trace(-self.val, self.meta)285 def __pos__(self):286 return Trace(+self.val, self.meta)287 def __abs__(self):288 return Trace(abs(self.val), self.meta)289 def __invert__(self):290 return Trace(~self.val, self.meta)291 def __complex__(self):292 return Trace(complex(self.val), self.meta)293 def __int__(self):294 return Trace(int(self.val), self.meta)295 def __float__(self):296 return Trace(float(self.val), self.meta)297 def __round__(self):298 return Trace(round(self.val), self.meta)299 def __round__(self, other):300 if not isinstance(other, Trace):301 other = Trace(other)302 if self.is_nan() and other.is_nan():303 return Trace(pd.NA, self.meta | other.meta)304 if self.is_nan():305 return self306 if other.is_nan():307 return other308 return Trace(round(self.val, other.val), self.meta | other.meta)309 def __ceil__(self):310 return Trace(math.ceil(self.val), self.meta)311 def __floor__(self):312 return Trace(math.floor(self.val), self.meta)313 def __trunc__(self):314 return Trace(math.trunc(self.val), self.meta)315 def __index__(self):316 return self.val.__int__()317 # comp318 def __eq__(self, other):319 if not isinstance(other, Trace):320 other = Trace(other)321 if self.is_nan() and other.is_nan():322 return Trace(True, self.meta | other.meta)323 if self.is_nan():324 return Trace(False, self.meta)325 if other.is_nan():326 return Trace(False, other.meta)327 return Trace(self.val == other.val, self.meta | other.meta)328 def __ne__(self, other):329 if not isinstance(other, Trace):330 other = Trace(other)331 if self.is_nan() and other.is_nan():332 return Trace(False, self.meta | other.meta)333 if self.is_nan():334 return Trace(True, self.meta)335 if other.is_nan():336 return Trace(True, other.meta)337 return Trace(self.val != other.val, self.meta | other.meta)338 def __lt__(self, other):339 if not isinstance(other, Trace):340 other = Trace(other)341 if self.is_nan() and other.is_nan():342 return Trace(pd.NA, self.meta | other.meta)343 if self.is_nan():344 return self345 if other.is_nan():346 return other347 return Trace(self.val < other.val, self.meta | other.meta)348 def __le__(self, other):349 if not isinstance(other, Trace):350 other = Trace(other)351 if self.is_nan() and other.is_nan():352 return Trace(pd.NA, self.meta | other.meta)353 if self.is_nan():354 return self355 if other.is_nan():356 return other357 return Trace(self.val <= other.val, self.meta | other.meta)358 def __gt__(self, other):359 if not isinstance(other, Trace):360 other = Trace(other)361 if self.is_nan() and other.is_nan():362 return Trace(pd.NA, self.meta | other.meta)363 if self.is_nan():364 return self365 if other.is_nan():366 return other367 return Trace(self.val > other.val, self.meta | other.meta)368 def __ge__(self, other):369 if not isinstance(other, Trace):370 other = Trace(other)371 if self.is_nan() and other.is_nan():372 return Trace(pd.NA, self.meta | other.meta)373 if self.is_nan():374 return self375 if other.is_nan():376 return other377 return Trace(self.val >= other.val, self.meta | other.meta)378 def __bool__(self):379 return self.val.__bool__()380 def __call__(self, *args, **kwargs):381 return self.val(*args, **kwargs)382class TraceDtype(ExtensionDtype):383 """A custom data type, to be paired with an ExtensionArray."""384 type = Trace385 name = "Trace"386 na_value = pd.NA387 def __init__(self, orig=None):388 self.orig = orig389 #self.na_value = Trace(pd.NA, orig)390 @classmethod391 def construct_array_type(cls):392 """Return the array type associated with this dtype."""393 return TraceArray394class TraceArray(ExtensionArray, ExtensionScalarOpsMixin):395 """Abstract base class for custom 1-D array types."""396 def __init__(self, values, orig=None, dtype=None, copy=False):397 """Instantiate the array.398 If you're doing any type coercion in here, you will also need399 that in an overwritten __setitem__ method.400 But, here we coerce the input values into Decimals.401 """402 if isinstance(dtype, TraceDtype) and orig is None:403 orig = dtype.orig404 values = [Trace(val, None, orig) for val in values]405 self._data = np.asarray(values, dtype=object)406 self._dtype = TraceDtype(orig)407 @classmethod408 def _from_sequence(cls, scalars, dtype=None, copy=False):409 """Construct a new ExtensionArray from a sequence of scalars."""410 return cls(scalars, dtype=dtype)411 @classmethod412 def _from_factorized(cls, values, original):413 """Reconstruct an ExtensionArray after factorization."""414 return cls(values)415 def __getitem__(self, item):416 """Select a subset of self."""417 return self._data[item]418 def __len__(self) -> int:419 """Length of this array."""420 return len(self._data)421 @property422 def nbytes(self):423 """The byte size of the data."""424 return self._itemsize * len(self)425 @property426 def dtype(self):427 """An instance of 'ExtensionDtype'."""428 return self._dtype429 def isna(self):430 """A 1-D array indicating if each value is missing."""431 return np.array([x.is_nan() for x in self._data], dtype=bool)432 def take(self, indexer, allow_fill=False, fill_value=None):433 """Take elements from an array.434 Relies on the take method defined in pandas:435 """437 from pandas.api.extensions import take438 data = self._data439 if allow_fill and fill_value is None:440 fill_value = self.dtype.na_value441 result = take(442 data, indexer, fill_value=fill_value, allow_fill=allow_fill)443 return self._from_sequence(result)444 def copy(self):445 """Return a copy of the array."""...

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...42 assert Vec2(0, 1).compare_to(Vec2(0, 1)) == 043def test_vec2_nan():44 nan = float("nan")45 inf = float("inf")46 assert not Vec2F(0, 0).is_nan()47 assert not Vec2F(1, 0).is_nan()48 assert Vec2F(nan, 0).is_nan()49 assert Vec2F(0, nan).is_nan()50 assert Vec2F(nan, nan).is_nan()51 assert Vec2F(-nan, 0).is_nan()52 assert Vec2F(-nan, nan).is_nan()53 assert Vec2F(inf, nan).is_nan()54 assert not Vec2F(inf, 0).is_nan()55 assert not Vec2F(inf, inf).is_nan()56 assert not Vec2F(-inf, 0).is_nan()57 assert not Vec2D(0, 0).is_nan()58 assert not Vec2D(1, 0).is_nan()59 assert Vec2D(nan, 0).is_nan()60 assert Vec2D(0, nan).is_nan()61 assert Vec2D(nan, nan).is_nan()62 assert Vec2D(-nan, 0).is_nan()63 assert Vec2D(-nan, nan).is_nan()64 assert Vec2D(inf, nan).is_nan()65 assert not Vec2D(inf, 0).is_nan()66 assert not Vec2D(inf, inf).is_nan()67 assert not Vec2D(-inf, 0).is_nan()68def test_vec2_round():69 original_vector = Vec2(2.3, -2.6)70 rounded_vector = round(original_vector)71 assert rounded_vector.x == 272 assert rounded_vector.y == -373def test_vec2_floor():74 original_vector = Vec2(2.3, -2.6)75 rounded_vector = floor(original_vector)76 assert rounded_vector.x == 277 assert rounded_vector.y == -378def test_vec2_ceil():79 original_vector = Vec2(2.3, -2.6)80 rounded_vector = ceil(original_vector)81 assert rounded_vector.x == 3...

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