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How to use check_values method in pandera

Best Python code snippet using pandera_python

sql.py

Source:sql.py

1#2# Licensed to the Apache Software Foundation (ASF) under one3# or more contributor license agreements.  See the NOTICE file4# distributed with this work for additional information5# regarding copyright ownership.  The ASF licenses this file6# to you under the Apache License, Version 2.0 (the7# "License"); you may not use this file except in compliance8# with the License.  You may obtain a copy of the License at9#10#   http://www.apache.org/licenses/LICENSE-2.011#12# Unless required by applicable law or agreed to in writing,13# software distributed under the License is distributed on an14# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY15# KIND, either express or implied.  See the License for the16# specific language governing permissions and limitations17# under the License.18from typing import Any, Dict, Optional, Union19from airflow.exceptions import AirflowException20from airflow.operators.sql import BaseSQLOperator21def parse_boolean(val: str) -> Union[str, bool]:22    """Try to parse a string into boolean.23    Raises ValueError if the input is not a valid true- or false-like string value.24    """25    val = val.lower()26    if val in ('y', 'yes', 't', 'true', 'on', '1'):27        return True28    if val in ('n', 'no', 'f', 'false', 'off', '0'):29        return False30    raise ValueError(f"{val!r} is not a boolean-like string value")31def _get_failed_tests(checks):32    return [33        f"\tCheck: {check},\n\tCheck Values: {check_values}\n"34        for check, check_values in checks.items()35        if not check_values["success"]36    ]37class SQLColumnCheckOperator(BaseSQLOperator):38    """39    Performs one or more of the templated checks in the column_checks dictionary.40    Checks are performed on a per-column basis specified by the column_mapping.41    Each check can take one or more of the following options:42    - equal_to: an exact value to equal, cannot be used with other comparison options43    - greater_than: value that result should be strictly greater than44    - less_than: value that results should be strictly less than45    - geq_to: value that results should be greater than or equal to46    - leq_to: value that results should be less than or equal to47    - tolerance: the percentage that the result may be off from the expected value48    :param table: the table to run checks on49    :param column_mapping: the dictionary of columns and their associated checks, e.g.50    .. code-block:: python51        {52            "col_name": {53                "null_check": {54                    "equal_to": 0,55                },56                "min": {57                    "greater_than": 5,58                    "leq_to": 10,59                    "tolerance": 0.2,60                },61                "max": {"less_than": 1000, "geq_to": 10, "tolerance": 0.01},62            }63        }64    :param conn_id: the connection ID used to connect to the database65    :param database: name of database which overwrite the defined one in connection66    .. seealso::67        For more information on how to use this operator, take a look at the guide:68        :ref:`howto/operator:SQLColumnCheckOperator`69    """70    column_checks = {71        "null_check": "SUM(CASE WHEN column IS NULL THEN 1 ELSE 0 END) AS column_null_check",72        "distinct_check": "COUNT(DISTINCT(column)) AS column_distinct_check",73        "unique_check": "COUNT(column) - COUNT(DISTINCT(column)) AS column_unique_check",74        "min": "MIN(column) AS column_min",75        "max": "MAX(column) AS column_max",76    }77    def __init__(78        self,79        *,80        table: str,81        column_mapping: Dict[str, Dict[str, Any]],82        conn_id: Optional[str] = None,83        database: Optional[str] = None,84        **kwargs,85    ):86        super().__init__(conn_id=conn_id, database=database, **kwargs)87        for checks in column_mapping.values():88            for check, check_values in checks.items():89                self._column_mapping_validation(check, check_values)90        self.table = table91        self.column_mapping = column_mapping92        # OpenLineage needs a valid SQL query with the input/output table(s) to parse93        self.sql = f"SELECT * FROM {self.table};"94    def execute(self, context=None):95        hook = self.get_db_hook()96        failed_tests = []97        for column in self.column_mapping:98            checks = [*self.column_mapping[column]]99            checks_sql = ",".join([self.column_checks[check].replace("column", column) for check in checks])100            self.sql = f"SELECT {checks_sql} FROM {self.table};"101            records = hook.get_first(self.sql)102            if not records:103                raise AirflowException(f"The following query returned zero rows: {self.sql}")104            self.log.info(f"Record: {records}")105            for idx, result in enumerate(records):106                tolerance = self.column_mapping[column][checks[idx]].get("tolerance")107                self.column_mapping[column][checks[idx]]["result"] = result108                self.column_mapping[column][checks[idx]]["success"] = self._get_match(109                    self.column_mapping[column][checks[idx]], result, tolerance110                )111            failed_tests.extend(_get_failed_tests(self.column_mapping[column]))112        if failed_tests:113            raise AirflowException(114                f"Test failed.\nQuery:\n{self.sql}\nResults:\n{records!s}\n"115                "The following tests have failed:"116                f"\n{''.join(failed_tests)}"117            )118        self.log.info("All tests have passed")119    def _get_match(self, check_values, record, tolerance=None) -> bool:120        match_boolean = True121        if "geq_to" in check_values:122            if tolerance is not None:123                match_boolean = record >= check_values["geq_to"] * (1 - tolerance)124            else:125                match_boolean = record >= check_values["geq_to"]126        elif "greater_than" in check_values:127            if tolerance is not None:128                match_boolean = record > check_values["greater_than"] * (1 - tolerance)129            else:130                match_boolean = record > check_values["greater_than"]131        if "leq_to" in check_values:132            if tolerance is not None:133                match_boolean = record <= check_values["leq_to"] * (1 + tolerance) and match_boolean134            else:135                match_boolean = record <= check_values["leq_to"] and match_boolean136        elif "less_than" in check_values:137            if tolerance is not None:138                match_boolean = record < check_values["less_than"] * (1 + tolerance) and match_boolean139            else:140                match_boolean = record < check_values["less_than"] and match_boolean141        if "equal_to" in check_values:142            if tolerance is not None:143                match_boolean = (144                    check_values["equal_to"] * (1 - tolerance)145                    <= record146                    <= check_values["equal_to"] * (1 + tolerance)147                ) and match_boolean148            else:149                match_boolean = record == check_values["equal_to"] and match_boolean150        return match_boolean151    def _column_mapping_validation(self, check, check_values):152        if check not in self.column_checks:153            raise AirflowException(f"Invalid column check: {check}.")154        if (155            "greater_than" not in check_values156            and "geq_to" not in check_values157            and "less_than" not in check_values158            and "leq_to" not in check_values159            and "equal_to" not in check_values160        ):161            raise ValueError(162                "Please provide one or more of: less_than, leq_to, "163                "greater_than, geq_to, or equal_to in the check's dict."164            )165        if "greater_than" in check_values and "less_than" in check_values:166            if check_values["greater_than"] >= check_values["less_than"]:167                raise ValueError(168                    "greater_than should be strictly less than "169                    "less_than. Use geq_to or leq_to for "170                    "overlapping equality."171                )172        if "greater_than" in check_values and "leq_to" in check_values:173            if check_values["greater_than"] >= check_values["leq_to"]:174                raise ValueError(175                    "greater_than must be strictly less than leq_to. "176                    "Use geq_to with leq_to for overlapping equality."177                )178        if "geq_to" in check_values and "less_than" in check_values:179            if check_values["geq_to"] >= check_values["less_than"]:180                raise ValueError(181                    "geq_to should be strictly less than less_than. "182                    "Use leq_to with geq_to for overlapping equality."183                )184        if "geq_to" in check_values and "leq_to" in check_values:185            if check_values["geq_to"] > check_values["leq_to"]:186                raise ValueError("geq_to should be less than or equal to leq_to.")187        if "greater_than" in check_values and "geq_to" in check_values:188            raise ValueError("Only supply one of greater_than or geq_to.")189        if "less_than" in check_values and "leq_to" in check_values:190            raise ValueError("Only supply one of less_than or leq_to.")191        if (192            "greater_than" in check_values193            or "geq_to" in check_values194            or "less_than" in check_values195            or "leq_to" in check_values196        ) and "equal_to" in check_values:197            raise ValueError(198                "equal_to cannot be passed with a greater or less than "199                "function. To specify 'greater than or equal to' or "200                "'less than or equal to', use geq_to or leq_to."201            )202class SQLTableCheckOperator(BaseSQLOperator):203    """204    Performs one or more of the checks provided in the checks dictionary.205    Checks should be written to return a boolean result.206    :param table: the table to run checks on207    :param checks: the dictionary of checks, e.g.:208    .. code-block:: python209        {210            "row_count_check": {"check_statement": "COUNT(*) = 1000"},211            "column_sum_check": {"check_statement": "col_a + col_b < col_c"},212        }213    :param conn_id: the connection ID used to connect to the database214    :param database: name of database which overwrite the defined one in connection215    .. seealso::216        For more information on how to use this operator, take a look at the guide:217        :ref:`howto/operator:SQLTableCheckOperator`218    """219    sql_check_template = "CASE WHEN check_statement THEN 1 ELSE 0 END AS check_name"220    sql_min_template = "MIN(check_name)"221    def __init__(222        self,223        *,224        table: str,225        checks: Dict[str, Dict[str, Any]],226        conn_id: Optional[str] = None,227        database: Optional[str] = None,228        **kwargs,229    ):230        super().__init__(conn_id=conn_id, database=database, **kwargs)231        self.table = table232        self.checks = checks233        # OpenLineage needs a valid SQL query with the input/output table(s) to parse234        self.sql = f"SELECT * FROM {self.table};"235    def execute(self, context=None):236        hook = self.get_db_hook()237        check_names = [*self.checks]238        check_mins_sql = ",".join(239            self.sql_min_template.replace("check_name", check_name) for check_name in check_names240        )241        checks_sql = ",".join(242            [243                self.sql_check_template.replace("check_statement", value["check_statement"]).replace(244                    "check_name", check_name245                )246                for check_name, value in self.checks.items()247            ]248        )249        self.sql = f"SELECT {check_mins_sql} FROM (SELECT {checks_sql} FROM {self.table});"250        records = hook.get_first(self.sql)251        if not records:252            raise AirflowException(f"The following query returned zero rows: {self.sql}")253        self.log.info(f"Record: {records}")254        for check in self.checks.keys():255            for result in records:256                self.checks[check]["success"] = parse_boolean(str(result))257        failed_tests = _get_failed_tests(self.checks)258        if failed_tests:259            raise AirflowException(260                f"Test failed.\nQuery:\n{self.sql}\nResults:\n{records!s}\n"261                "The following tests have failed:"262                f"\n{', '.join(failed_tests)}"263            )...

98-validate-binary-search-tree.py

Source:98-validate-binary-search-tree.py

1# first solution2class Solution:3    def check_values(self, root, value, direction):4        print(root.val, value, direction)5        if direction == "right" and root.val <= value:6            return False7        elif direction == "left" and root.val >= value:8            return False9        if root.left and root.right:10            return (11                self.check_values(root.left, value, direction) and 12                self.check_values(root.right, value, direction)13            )14        elif root.left:15            return self.check_values(root.left, value, direction)16        elif root.right:17            return self.check_values(root.right, value, direction)18        else:19            return True20    21    def isValidBST(self, root: Optional[TreeNode]) -> bool:22        if root.left and root.right:23            return (24                self.check_values(root.left, root.val, "left") and 25                self.check_values(root.right, root.val, "right") and26                self.isValidBST(root.left) if root.val > root.left.val else False and27                self.isValidBST(root.right) if root.val < root.right.val else False28            )29        elif root.left:30            return (31                self.check_values(root.left, root.val, "left") and32                self.isValidBST(root.left) if root.val > root.left.val else False33            )34        elif root.right:35            return (36                self.check_values(root.right, root.val, "right") and37                self.isValidBST(root.right) if root.val < root.right.val else False38            )39        else:...

math.py

Source:math.py

1import civilpy2np = civilpy.np3solver = civilpy.sym4inf = civilpy.sym.oo5def equation_solver(eq, variable):6    return civilpy.sym.solve(eq, variable)7def arithmetic_growth(p_0, r, t):8    p_t = p_0 + (t * r)9    return p_t10def geometric_growth(p_0, r, t):11    p_t = p_0 * ((1 + r) ** t)12    return p_t13def find_global_extrema_order_3(f, x1, x2, variable='x'):14    x = civilpy.sym.symbols(variable)15    f_prime = civilpy.sym.diff(f)16    f_prime2 = civilpy.sym.diff(f_prime)17    print(f'The first derivative is \n{f_prime} the second is \n {f_prime2}\n')18    try:19        root1, root2 = civilpy.sym.solvers.solve(f_prime, x)20        print(f'The first root is {root1}, the second root is {root2}\n')21        for root in [root1, root2]:22            if f_prime2.subs(x, root) > 0:23                print(f'{root} is a local minimum\n')24            elif f_prime2.subs(x, root) < 0:25                print(f'{root} is a local maximum\n')26        inf_point = civilpy.sym.solvers.solve(f_prime2, x)27        print(f'The inflection point is {inf_point[0]}\n')28        check_values = {x1: 0, x2: 0, root1: 0, root2: 0}29        for key, value in check_values.items():30            check_values[key] = f.subs(x, key)31        global_min = min(check_values.keys(), key=(lambda k: check_values[k]))32        global_max = max(check_values.keys(), key=(lambda k: check_values[k]))33        print(f'Global min: {global_min}, Global max: {global_max}')34        return global_min, global_max, check_values35    except ValueError:...

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