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How to use _to_unix method in pandera

Best Python code snippet using pandera_python

api.py

Source:api.py

...91            return r.iter_lines()92        else:93            return r.text94    def _make_request(self, query_text, start, stop, mode, stream, limit):95        start = self._to_unix(start)96        stop = self._to_unix(stop)97        ts = self._to_unix('now', milliseconds=True)98        ts = str(ts)99        body = json.dumps({100            'query': query_text,101            'from': start,102            'to': stop,103            'mode': {'type': mode},104            'limit': limit105        })106        if self.api_key and self.api_secret:107            msg = self.api_key + body + ts108            sig = hmac.new(self.api_secret.encode(),109                           msg.encode(),110                           hashlib.sha256).hexdigest()111            headers = {112                'Content-Type': 'application/json',113                'x-logtrust-apikey': self.api_key,114                'x-logtrust-sign': sig,115                'x-logtrust-timestamp': ts116            }117        elif self.oauth_token:118            headers = {119                'Content-Type': 'application/json',120                'Authorization': 'Bearer ' + self.oauth_token}121        elif self.jwt:122            headers = {123                'Content-Type': 'application/json',124                'Authorization': 'jwt ' + self.jwt}125        else:126            raise Exception('No credentials found')127        r = requests.post(128            self.end_point,129            data=body,130            headers=headers,131            stream=stream132        )133        return r134    @staticmethod135    def _null_decorator(f):136        def null_f(v):137            if v == '':138                return None139            else:140                return f(v)141        return null_f142    def _make_type_map(self):143        funcs = {144                'timestamp': lambda t: datetime.datetime.strptime(t.strip(), '%Y-%m-%d %H:%M:%S.%f'),145                'str': str,146                'int8': int,147                'int4': int,148                'float8': float,149                'float4': float,150                'bool': lambda b: b == 'true'151               }152        self._map = defaultdict(lambda: str, {t:self._null_decorator(f) for t,f in funcs.items()})153    def _get_types(self,linq_query,start):154        """155        Gets types of each column of submitted156        """157        # so we don't have  stop ts in future as required by API V2158        stop = self._to_unix(start)159        start = stop - 1160        response = self._query(linq_query, start=start, stop=stop, mode='json/compact', limit=1)161        try:162            data = json.loads(response)163            check_status(data)164        except ValueError:165            raise Exception('API V2 response error')166        col_data = data['object']['m']167        type_dict = { k:self._map[v['type']] for k,v in col_data.items() }168        return type_dict169    @staticmethod170    def _to_unix(date, milliseconds=False):171        """172        Convert date to a unix timestamp in seconds173        date: A unix timestamp in second, a python datetime object,174        or string in form 'YYYY-mm-dd'175        """176        if date is None:177            return None178        elif date == 'now':179            epoch = datetime.datetime.now().timestamp()180        elif type(date) == str:181            epoch = pd.to_datetime(date).timestamp()182        elif type(date) == datetime.datetime:183            epoch = date.replace(tzinfo=timezone.utc).timestamp()184        elif isinstance(date, (int,float)):...

dos2unix.py

Source:dos2unix.py

...7"""8import pickle9from pickle import UnpicklingError10# Private Functions11def _to_unix(path):12    """ converts a file to unix endings """13    original = path14    destination = original.replace(".pkl", "_unix.pkl")15    content = ''16    outsize = 017    with open(original, 'rb') as inpath:18        content = inpath.read()19    with open(destination, 'wb') as output:20        for line in content.splitlines():21            outsize += len(line) + 122            output.write(line + str.encode('\n'))23    return destination24# Functions25def pickle_load(path):26    """ Load pickle paths in Python 3 """27    try:28        data = pickle.load(open(path, "rb"))29        return data30    except UnpicklingError:31        unix_path = path.replace(".pkl", "_unix.pkl")32        try:33            data = pickle.load(open(unix_path, "rb"))34            return data35        except FileNotFoundError:36            path = _to_unix(path)37            data = pickle.load(open(path, "rb"))...

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