How to use _record_failure method in green

Best Python code snippet using green

reporting.py

Source:reporting.py

...57        if isinstance(golden, float):58            if not isinstance(value, float):59                return self._record_mismatch_type_failure('float', value)60            if abs(value - golden) / golden > 1e-4:61                return self._record_failure(62                    f'value ({value!r}) is not close to golden value ({golden!r})'63                )64            return65        if isinstance(golden, int):66            if not isinstance(value, int):67                return self._record_mismatch_type_failure('int', value)68            if value != golden:69                return self._record_failure(70                    f'value ({value!r}) is not equal to golden value ({golden!r})'71                )72            return73        if isinstance(golden, str):74            if not isinstance(value, str):75                return self._record_mismatch_type_failure('str', value)76            if value != golden:77                return self._record_failure(78                    f'value ({value!r}) is not equal to golden value ({golden!r})'79                )80            return81        if isinstance(golden, tuple):82            if not isinstance(value, tuple):83                return self._record_mismatch_type_failure('tuple', value)84            if len(value) != len(golden):85                return self._record_failure(86                    f'value ({len(value)!r}) is not equal to golden value ({len(golden)!r})'87                )88            reports = [89                ValueReport(v, g, self.context.chain(f'tuple element {i}'))90                for i, (v, g) in enumerate(zip(value, golden))91            ]92            for report in reports:93                if report.failed:94                    self.failure_reasons.extend(report.failure_reasons)95            return96        if isinstance(golden, list):97            if not isinstance(value, list):98                return self._record_mismatch_type_failure('list', value)99            if len(value) != len(golden):100                return self._record_failure(101                    f'value ({len(value)!r}) is not equal to golden value ({len(golden)!r})'102                )103            reports = [104                ValueReport(v, g, self.context.chain(f'list element {i}'))105                for i, (v, g) in enumerate(zip(value, golden))106            ]107            for report in reports:108                if report.failed:109                    self.failure_reasons.extend(report.failure_reasons)110            return111        if isinstance(golden, dict):112            if not isinstance(value, dict):113                return self._record_mismatch_type_failure('dict', value)114            gkeys = list(sorted(golden.keys()))115            vkeys = list(sorted(value.keys()))116            if gkeys != vkeys:117                return self._record_failure(118                    f'dict keys ({vkeys!r}) are not equal to golden keys ({gkeys!r})'119                )120            reports = [121                ValueReport(value[k], golden[k],122                            self.context.chain(f'dict element at key {k!r}'))123                for k in gkeys124            ]125            for report in reports:126                if report.failed:127                    self.failure_reasons.extend(report.failure_reasons)128            return129        if isinstance(golden, torch.Tensor):130            if not isinstance(value, torch.Tensor):131                return self._record_mismatch_type_failure('torch.Tensor', value)132            if value.shape != golden.shape:133                return self._record_failure(134                    f'shape ({value.shape}) is not equal to golden shape ({golden.shape})'135                )136            if value.dtype != golden.dtype:137                return self._record_failure(138                    f'dtype ({value.dtype}) is not equal to golden dtype ({golden.dtype})'139                )140            if not torch.allclose(value, golden, rtol=1e-03, atol=1e-07, equal_nan=True):141                return self._record_failure(142                    f'value ({TensorSummary(value)}) is not close to golden value ({TensorSummary(golden)})'143                )144            return145        return self._record_failure(146            f'unexpected golden value of type `{golden.__class__.__name__}`')147    def _record_failure(self, s: str):148        self.failure_reasons.append(self.context.format_error(s))149    def _record_mismatch_type_failure(self, expected: str, actual: Any):150        self._record_failure(151            f'expected a value of type `{expected}` but got `{actual.__class__.__name__}`'152        )153class TraceItemReport:154    """A report for a single trace item."""155    failure_reasons: List[str]156    def __init__(self, item: TraceItem, golden_item: TraceItem,157                 context: ErrorContext):158        self.item = item159        self.golden_item = golden_item160        self.context = context161        self.failure_reasons = []162        self._evaluate_outcome()163    @property164    def failed(self):...

telemetry.py

Source:telemetry.py

...51    def update_telemetry(self, auth_result):52        if auth_result:53            with self._lock:54                if "error" in auth_result:55                    self._record_failure(auth_result["error"])56                else:  # Telemetry sent successfully. Reset buffer57                    self._buffer.clear()  # This won't work: self._buffer = {}58    def _record_failure(self, error):59        simulation = len(",{api_id},{correlation_id},{error}".format(60            api_id=self._api_id, correlation_id=self._correlation_id, error=error))61        if self._buffer.get(self._FAILURE_SIZE, 0) + simulation < self._LAST_HEADER_SIZE_LIMIT:62            self._buffer[self._FAILURE_SIZE] = self._buffer.get(63                self._FAILURE_SIZE, 0) + simulation64            self._buffer.setdefault(self._FAILED, []).append({...

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