id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
26,920 | import time
from typing import Dict
The provided code snippet includes necessary dependencies for implementing the `retry` function. Write a Python function `def retry( retries: int = 2, delay: int = 5, max_delay: int = 60, exponential_backoff: bool = True, logger=None, logging_tags: Dict = Non... | Create the decorator to retry a method Args: retries (int, optional): Number of retry attempts. delay (int, optional): Delay between retries. If using exponential backoff retry, delay will be multiplied by 2 for each additional retry. max_delay (int, optional): Maximum delay time. exponential_backoff (bool, optional): ... |
26,921 | import inspect
import logging
from enum import Enum
import simplejson
from mage_ai.data_preparation.models.constants import BlockType
from mage_ai.shared.environments import is_deus_ex_machina
from mage_ai.shared.parsers import encode_complex
def targets():
return [
# 'get_outputs',
# 'get_callers'... | null |
26,922 | from urllib.parse import urlparse
from mage_ai.shared.constants import GCS_PREFIX, S3_PREFIX
S3_PREFIX = 's3://'
def s3_url_path(path):
if path.startswith(S3_PREFIX):
s3_url = urlparse(path, allow_fragments=False)
return s3_url.path.lstrip('/')
return path | null |
26,923 | from urllib.parse import urlparse
from mage_ai.shared.constants import GCS_PREFIX, S3_PREFIX
GCS_PREFIX = 'gs://'
def gcs_url_path(path):
if path.startswith(GCS_PREFIX):
gcs_url = urlparse(path, allow_fragments=False)
return gcs_url.path.lstrip('/')
return path | null |
26,924 | import os
import sys
from mage_ai.shared.constants import ENV_DEV, ENV_PROD, ENV_STAGING, ENV_TEST
def is_deus_ex_machina():
return int(os.getenv('DEUS_EX_MACHINA', 0) or 0) == 1 | null |
26,925 | import os
import sys
from mage_ai.shared.constants import ENV_DEV, ENV_PROD, ENV_STAGING, ENV_TEST
def is_dev():
return os.getenv('ENV', None) == 'dev' or os.getenv('ENV', None) == 'development' | null |
26,926 | import datetime
import pytz
from mage_ai.shared.array import find_index
def str_to_timedelta(period_str: str):
unit = period_str[-1]
if unit not in ['d', 'h', 'w']:
raise Exception(
'Please provide a valid period unit ("d", "h", or "w")')
if unit == 'd':
return datetime.timedelt... | null |
26,927 | import datetime
import pytz
from mage_ai.shared.array import find_index
def find_index(condition, arr):
for idx, item in enumerate(arr):
if condition(item):
return idx
return -1
def week_of_month(day: datetime.datetime) -> int:
first_day = day.replace(day=1)
# e.g. 4 for Friday
... | null |
26,928 | import os
from pathlib import Path
from typing import Tuple
from mage_ai.settings.platform import get_repo_paths_for_file_path
from mage_ai.settings.repo import get_repo_path
from mage_ai.settings.utils import base_repo_dirname, base_repo_name, base_repo_path
from mage_ai.shared.files import find_directory
def get_rep... | null |
26,929 | import os
from pathlib import Path
from typing import Tuple
from mage_ai.settings.platform import get_repo_paths_for_file_path
from mage_ai.settings.repo import get_repo_path
from mage_ai.settings.utils import base_repo_dirname, base_repo_name, base_repo_path
from mage_ai.shared.files import find_directory
def get_rep... | null |
26,930 | import os
from pathlib import Path
from typing import Tuple
from mage_ai.settings.platform import get_repo_paths_for_file_path
from mage_ai.settings.repo import get_repo_path
from mage_ai.settings.utils import base_repo_dirname, base_repo_name, base_repo_path
from mage_ai.shared.files import find_directory
def convert... | null |
26,931 | import os
from pathlib import Path
from typing import Tuple
from mage_ai.settings.platform import get_repo_paths_for_file_path
from mage_ai.settings.repo import get_repo_path
from mage_ai.settings.utils import base_repo_dirname, base_repo_name, base_repo_path
from mage_ai.shared.files import find_directory
def convert... | null |
26,932 | import os
from pathlib import Path
from typing import Tuple
from mage_ai.settings.platform import get_repo_paths_for_file_path
from mage_ai.settings.repo import get_repo_path
from mage_ai.settings.utils import base_repo_dirname, base_repo_name, base_repo_path
from mage_ai.shared.files import find_directory
def get_rep... | null |
26,933 | import json
import math
import re
from functools import reduce
from typing import Any, Dict, List
from mage_ai.shared.strings import camel_to_snake_case
def camel_to_snake_case(name):
def camel_case_keys_to_snake_case(d):
if not isinstance(d, dict):
return d
snake_dict = {}
for key, value in d.ite... | null |
26,934 | import json
import math
import re
from functools import reduce
from typing import Any, Dict, List
from mage_ai.shared.strings import camel_to_snake_case
The provided code snippet includes necessary dependencies for implementing the `safe_dig` function. Write a Python function `def safe_dig(obj_arg, arr_or_string)` to ... | Safely retrieves nested values from a dictionary or list using a dot-separated path. Args: obj_arg: The object (dictionary or list) to navigate. arr_or_string (str or list): A dot-separated path string or a list of keys/indexes. Returns: The value retrieved from the nested structure, or None if any intermediate key/ind... |
26,935 | import json
import math
import re
from functools import reduce
from typing import Any, Dict, List
from mage_ai.shared.strings import camel_to_snake_case
def flatten(input_data):
final_data = {}
for k1, v1 in input_data.items():
if type(v1) is dict:
for k2, v2 in v1.items():
... | null |
26,936 | import json
import math
import re
from functools import reduce
from typing import Any, Dict, List
from mage_ai.shared.strings import camel_to_snake_case
def ignore_keys_with_blank_values(d: Dict, include_values: List[Any] = None) -> Dict:
d2 = d.copy()
for key, value in d.items():
if not value and (not... | null |
26,937 | import json
import math
import re
from functools import reduce
from typing import Any, Dict, List
from mage_ai.shared.strings import camel_to_snake_case
def extract_arrays(input_data):
arr = []
for _, v in input_data.items():
if type(v) is list:
arr.append(v)
return arr | null |
26,938 | import json
import math
import re
from functools import reduce
from typing import Any, Dict, List
from mage_ai.shared.strings import camel_to_snake_case
def replace_dict_nan_value(d):
def _replace_nan_value(v):
if isinstance(v, float) and math.isnan(v):
return None
return v
return ... | null |
26,939 | import json
import math
import re
from functools import reduce
from typing import Any, Dict, List
from mage_ai.shared.strings import camel_to_snake_case
def get_safe_value(data: Dict, key: str, default_value):
return data.get(key, default_value) if data else default_value | null |
26,940 | import json
import math
import re
from functools import reduce
from typing import Any, Dict, List
from mage_ai.shared.strings import camel_to_snake_case
def dig(obj_arg, arr_or_string):
def set_value(obj: Dict, keys: List[str], value) -> Dict:
if len(keys) >= 2:
for idx in range(len(keys)):
key... | null |
26,941 | import glob
import os
from pathlib import Path
from typing import Callable, List, Tuple
import aiofiles
from mage_ai.shared.environments import is_debug
def read_last_line(filename: str) -> str:
with open(filename, 'rb') as f:
try: # catch OSError in case of a one line file
f.seek(-2, os.SEEK_... | null |
26,942 | import glob
import os
from pathlib import Path
from typing import Callable, List, Tuple
import aiofiles
from mage_ai.shared.environments import is_debug
def get_absolute_paths_from_all_files(
starting_full_path_directory: str,
comparator: Callable = None,
include_hidden_files: bool = False,
parse_value... | null |
26,943 | import glob
import os
from pathlib import Path
from typing import Callable, List, Tuple
import aiofiles
from mage_ai.shared.environments import is_debug
def find_file_from_another_file_path(file_path: str, comparator) -> str:
if not file_path or not comparator:
return
if not os.path.isdir(file_path):
... | null |
26,944 | import glob
import os
from pathlib import Path
from typing import Callable, List, Tuple
import aiofiles
from mage_ai.shared.environments import is_debug
def is_debug():
return int(os.getenv('DEBUG', 0) or 0) == 1
async def read_async(file_path: str) -> str:
dirname = os.path.dirname(file_path)
if not os.p... | null |
26,945 | import random
def batch(iterable, n=1):
length = len(iterable)
for ndx in range(0, length, n):
yield iterable[ndx:min(ndx + n, length)] | null |
26,946 | import random
def difference(li1, li2):
li1_lookup = set(li1)
li2_lookup = set(li2)
return [i for i in li1 + li2 if i not in li1_lookup or i not in li2_lookup] | null |
26,947 | import random
def flatten(arr):
return [item for sublist in arr for item in sublist] | null |
26,948 | import random
def sample(arr):
return arr[random.randrange(0, len(arr))] | null |
26,949 | import random
def unique_by(arr1, key):
mapping = {}
arr2 = []
for item in arr1:
k = key(item)
if k in mapping:
continue
arr2.append(item)
mapping[k] = True
return arr2 | null |
26,950 | from concurrent.futures import ThreadPoolExecutor
from joblib import Parallel, delayed
from threading import Thread
def execute_parallel(list_of_funcs_and_args, verbose=0):
parallel = Parallel(n_jobs=-1, prefer='threads', verbose=verbose)
return parallel(delayed(func)(*args) for func, args in list_of_funcs_and... | null |
26,951 | from concurrent.futures import ThreadPoolExecutor
from joblib import Parallel, delayed
from threading import Thread
def start_thread(target, **kwargs):
thread = Thread(
target=target,
kwargs=kwargs,
)
thread.start()
return thread | null |
26,952 | from concurrent.futures import ThreadPoolExecutor
from joblib import Parallel, delayed
from threading import Thread
MAX_WORKERS = 16
def parallelize(func, arr):
with ThreadPoolExecutor(max_workers=MAX_WORKERS) as pool:
return pool.map(func, arr) | null |
26,953 | from concurrent.futures import ThreadPoolExecutor
from joblib import Parallel, delayed
from threading import Thread
MAX_WORKERS = 16
def parallelize_multiple_args(func, arr_args):
with ThreadPoolExecutor(max_workers=MAX_WORKERS) as pool:
return pool.map(func, *zip(*arr_args)) | null |
26,954 | from concurrent.futures import ThreadPoolExecutor
from joblib import Parallel, delayed
from threading import Thread
MAX_WORKERS = 16
def run_parallel_threads(list_of_funcs_and_args_or_kwargs):
with ThreadPoolExecutor(max_workers=MAX_WORKERS) as pool:
for func, args in list_of_funcs_and_args_or_kwargs:
... | null |
26,955 | from concurrent.futures import ThreadPoolExecutor
from joblib import Parallel, delayed
from threading import Thread
MAX_WORKERS = 16
def run_parallel(func, arr_args_1, arr_args_2):
with ThreadPoolExecutor(max_workers=MAX_WORKERS) as pool:
return pool.map(func, *arr_args_1, *arr_args_2) | null |
26,956 | from datetime import datetime
from enum import Enum
from json import JSONDecoder
import numpy as np
import pandas as pd
from mage_ai.orchestration.db.models.base import BaseModel
MAX_ITEMS_IN_SAMPLE_OUTPUT = 20
def sample_output(obj):
if isinstance(obj, list):
sampled = len(obj) > MAX_ITEMS_IN_SAMPLE_OUTPU... | null |
26,957 | import re
from typing import List
import inflection
def classify(name):
return ''.join([n.capitalize() for n in name.split('_')]) | null |
26,958 | import re
from typing import List
import inflection
def format_enum(v):
return v.value if type(v) is not str else v | null |
26,959 | import re
from typing import List
import inflection
def remove_extension_from_filename(filename: str) -> str:
parts = filename.split('/')
fn = parts[-1].split('.')[0]
return '/'.join(parts[:-1] + [fn]) | null |
26,960 | import re
from typing import List
import inflection
def singularize(word: str) -> str:
return inflection.singularize(word) | null |
26,961 | import re
from typing import List
import inflection
def size_of_string(string: str) -> float:
return len(str(string).encode('utf-8')) | null |
26,962 | from typing import Dict, Optional
from mage_ai.shared.array import find
def find(condition, arr, map=None):
try:
return next(map(x) if map else x for x in arr if condition(x))
except StopIteration:
return None
The provided code snippet includes necessary dependencies for implementing the `get_... | Args: headers (Dict): Headers from the request Returns: Optional[str]: The bearer token from the headers if it exists |
26,963 | from collections import OrderedDict
import logging
import numpy as np
import pandas as pd
import scipy
import six.moves
The provided code snippet includes necessary dependencies for implementing the `as_scalar` function. Write a Python function `def as_scalar(x, str_encoding='utf-8')` to solve the following problem:
C... | Converts from a non-python scalar type to a Python scalar :param x: The scalar object to convert :param str_encoding: The encoding to use for converting fixed-width numpy strings (np.string_) |
26,964 | from collections import OrderedDict
import logging
import numpy as np
import pandas as pd
import scipy
import six.moves
def sparse_to_dense(x):
"""
Converts a sparse matrix into its dense representation. Passes through non-sparse matrices
:param x: The input
:return: A dense numpy array
"""
if i... | Vertically stacks features together (by column) If there is a single feature, we return just that one This requires homogeneous shapes. :param x: The feature dict :param method: Either column_stack or stack. Refer to numpy docs for more info. :param axis: If using stack, the axis to stack on :param dtype: The dtype to ... |
26,965 | from collections import OrderedDict
import logging
import numpy as np
import pandas as pd
import scipy
import six.moves
The provided code snippet includes necessary dependencies for implementing the `fd_to_df` function. Write a Python function `def fd_to_df(x)` to solve the following problem:
:param x: FeatureDict :re... | :param x: FeatureDict :return: A Pandas DataFrame representation of the FeatureDict |
26,966 | from collections import OrderedDict
import logging
import numpy as np
import pandas as pd
import scipy
import six.moves
def df_to_fd(x, copy=False, nan_str='null', dtype=None):
"""
Converts a pandas DataFrame to an ordered dictionary of numpy arrays
:param x: The input DataFrame
:param copy: Generates a... | Convenience function that auto-detects the type and performs the conversion :param x: Input data :param dtype: If None, we attempt to pass-through without copies. Doesn't apply to feature dicts Note: when passing non-numpy types do not set dtype. :return: A FeatureDict |
26,967 | from collections import OrderedDict
import logging
import numpy as np
import pandas as pd
import scipy
import six.moves
The provided code snippet includes necessary dependencies for implementing the `to_list` function. Write a Python function `def to_list(feature)` to solve the following problem:
Converts a feature of... | Converts a feature of a vector type (pandas series or numpy ndarray) to a list native python types :param feature: The input feature as a list, numpy ndarray, or pandas Series :return: the corresponding data in native python type |
26,968 | import os
import shutil
import traceback
from typing import Callable, Union
import aiofiles
async def safe_write_async(filepath: str, content: str, write_func: Callable = None):
temp_file_path = filepath + '.temp'
if os.path.isfile(filepath):
shutil.copy2(filepath, temp_file_path)
prev_existed ... | null |
26,969 | import os
import shutil
import traceback
from typing import Callable, Union
import aiofiles
async def read_last_line_async(file_path: str) -> str:
if not file_path:
return
# https://stackoverflow.com/questions/46258499/how-to-read-the-last-line-of-a-file-in-python
async with aiofiles.open(file_pat... | null |
26,970 | import json
import os
from logging import Logger
from typing import Any, Callable, Dict
import psutil
from mage_ai.data_preparation.logging.logger import DictLogger
def __log(log_message: str, logger: Logger = None, logging_tags: Dict = None):
if logger:
if isinstance(logger, DictLogger):
logger... | null |
26,971 | import json
import os
from logging import Logger
from typing import Any, Callable, Dict
import psutil
from mage_ai.data_preparation.logging.logger import DictLogger
def __log(log_message: str, logger: Logger = None, logging_tags: Dict = None):
if logger:
if isinstance(logger, DictLogger):
logger... | null |
26,972 | from datetime import datetime
from typing import Callable, Dict, List, Union
from mage_ai.shared.hash import extract, merge_dict
def build_block_dict(block: Union[Dict]) -> Dict:
file_path = None
if isinstance(block, dict):
block_language = block.get('language')
block_name = block.get('name')
... | null |
26,973 | from datetime import datetime
from typing import Callable, Dict, List, Union
from mage_ai.shared.hash import extract, merge_dict
PIPELINE_KEYS = [
'created_at',
'description',
'name',
'tags',
'type',
'uuid',
]
BLOCK_KEYS = [
'downstream_blocks',
'language',
'name',
'type',
'u... | null |
26,974 | from datetime import datetime
from typing import Callable, Dict, List, Union
from mage_ai.shared.hash import extract, merge_dict
def group_models_by_keys(
model_dicts: List[Dict],
keys: List[str],
get_uuid_key: Callable,
) -> Dict:
mapping = {key: {} for key in keys}
for model_dict in model_dicts:... | null |
26,975 | import asyncio
import os
from typing import Dict, List
import aiofiles
import yaml
from jinja2 import Template
from mage_ai.cache.dbt.constants import PROFILES_FILENAME, PROJECT_FILENAMES
from mage_ai.data_preparation.shared.utils import get_template_vars
from mage_ai.settings.utils import base_repo_path
from mage_ai.s... | null |
26,976 | import asyncio
import os
from typing import Dict, List
import aiofiles
import yaml
from jinja2 import Template
from mage_ai.cache.dbt.constants import PROFILES_FILENAME, PROJECT_FILENAMES
from mage_ai.data_preparation.shared.utils import get_template_vars
from mage_ai.settings.utils import base_repo_path
from mage_ai.s... | null |
26,977 | import asyncio
import os
from typing import Dict, List
import aiofiles
import yaml
from jinja2 import Template
from mage_ai.cache.dbt.constants import PROFILES_FILENAME, PROJECT_FILENAMES
from mage_ai.data_preparation.shared.utils import get_template_vars
from mage_ai.settings.utils import base_repo_path
from mage_ai.s... | null |
26,978 | import asyncio
import os
from typing import Dict, List
import aiofiles
import yaml
from jinja2 import Template
from mage_ai.cache.dbt.constants import PROFILES_FILENAME, PROJECT_FILENAMES
from mage_ai.data_preparation.shared.utils import get_template_vars
from mage_ai.settings.utils import base_repo_path
from mage_ai.s... | null |
26,979 | from enum import Enum
from mage_ai.data_preparation.models.constants import (
BLOCK_TYPE_DIRECTORY_NAME,
PIPELINES_FOLDER,
BlockType,
)
from mage_ai.shared.hash import merge_dict
PROFILES_FILENAME = 'profiles.yml'
PROJECT_FILENAMES = [PROJECT_FILENAME, 'dbt_project.yaml']
class FileType(str, Enum):
MODE... | null |
26,980 | import json
from typing import Dict, List, Tuple
import simplejson
import yaml
from jinja2 import Template
from mage_ai.data_integrations.utils.parsers import NoDatesSafeLoader
from mage_ai.data_preparation.shared.utils import get_template_vars
from mage_ai.shared.dates import n_days_ago
from mage_ai.shared.hash import... | null |
26,981 | import json
from typing import Dict, List, Tuple
import simplejson
import yaml
from jinja2 import Template
from mage_ai.data_integrations.utils.parsers import NoDatesSafeLoader
from mage_ai.data_preparation.shared.utils import get_template_vars
from mage_ai.shared.dates import n_days_ago
from mage_ai.shared.hash import... | null |
26,982 | import json
from typing import Dict, List, Tuple
import simplejson
import yaml
from jinja2 import Template
from mage_ai.data_integrations.utils.parsers import NoDatesSafeLoader
from mage_ai.data_preparation.shared.utils import get_template_vars
from mage_ai.shared.dates import n_days_ago
from mage_ai.shared.hash import... | null |
26,983 | import json
import math
import os
import shutil
from typing import Dict, List, Union
from mage_ai.data_integrations.sources.constants import SQL_SOURCES
from mage_ai.data_integrations.utils.config import build_config, get_batch_fetch_limit
from mage_ai.data_preparation.logging.logger import DictLogger
from mage_ai.data... | null |
26,984 | import json
import math
import os
import shutil
from typing import Dict, List, Union
from mage_ai.data_integrations.sources.constants import SQL_SOURCES
from mage_ai.data_integrations.utils.config import build_config, get_batch_fetch_limit
from mage_ai.data_preparation.logging.logger import DictLogger
from mage_ai.data... | null |
26,985 | import json
import math
import os
import shutil
from typing import Dict, List, Union
from mage_ai.data_integrations.sources.constants import SQL_SOURCES
from mage_ai.data_integrations.utils.config import build_config, get_batch_fetch_limit
from mage_ai.data_preparation.logging.logger import DictLogger
from mage_ai.data... | null |
26,986 | import json
import math
import os
import shutil
from typing import Dict, List, Union
from mage_ai.data_integrations.sources.constants import SQL_SOURCES
from mage_ai.data_integrations.utils.config import build_config, get_batch_fetch_limit
from mage_ai.data_preparation.logging.logger import DictLogger
from mage_ai.data... | null |
26,987 | from functools import reduce
from mage_ai.shared.utils import files_in_path
import aiofiles
import importlib
import os
import pathlib
import re
root_path = '/'.join(str(pathlib.Path(__file__).parent.resolve()).split('/')[:-2])
def add_file(acc, path):
files = files_in_path(path)
def __should_include(file_name):... | null |
26,988 | import re
from typing import Any, List, Union
import numpy as np
import pandas as pd
from pandas.core.indexes.frozen import FrozenList
from mage_ai.data_cleaner.column_types.constants import NUMBER_TYPES, ColumnType
from mage_ai.data_cleaner.transformer_actions.constants import CURRENCY_SYMBOLS
from mage_ai.shared.cust... | null |
26,989 | import re
from typing import Any, List, Union
import numpy as np
import pandas as pd
from pandas.core.indexes.frozen import FrozenList
from mage_ai.data_cleaner.column_types.constants import NUMBER_TYPES, ColumnType
from mage_ai.data_cleaner.transformer_actions.constants import CURRENCY_SYMBOLS
from mage_ai.shared.cust... | null |
26,990 | import re
from typing import Any, List, Union
import numpy as np
import pandas as pd
from pandas.core.indexes.frozen import FrozenList
from mage_ai.data_cleaner.column_types.constants import NUMBER_TYPES, ColumnType
from mage_ai.data_cleaner.transformer_actions.constants import CURRENCY_SYMBOLS
from mage_ai.shared.cust... | null |
26,991 | import re
from typing import Any, List, Union
import numpy as np
import pandas as pd
from pandas.core.indexes.frozen import FrozenList
from mage_ai.data_cleaner.column_types.constants import NUMBER_TYPES, ColumnType
from mage_ai.data_cleaner.transformer_actions.constants import CURRENCY_SYMBOLS
from mage_ai.shared.cust... | null |
26,992 | from mage_ai.data_cleaner.analysis.calculator import AnalysisCalculator
from mage_ai.data_cleaner.column_types import column_type_detector
from mage_ai.data_cleaner.pipelines.base import DEFAULT_RULES, BasePipeline
from mage_ai.data_cleaner.shared.utils import clean_dataframe
from mage_ai.data_cleaner.statistics.calcul... | null |
26,993 | from mage_ai.data_cleaner.analysis.calculator import AnalysisCalculator
from mage_ai.data_cleaner.column_types import column_type_detector
from mage_ai.data_cleaner.pipelines.base import DEFAULT_RULES, BasePipeline
from mage_ai.data_cleaner.shared.utils import clean_dataframe
from mage_ai.data_cleaner.statistics.calcul... | null |
26,994 | from mage_ai.data_cleaner.column_types.column_type_detector import find_syntax_errors
from mage_ai.data_cleaner.column_types.constants import NUMBER_TYPES, ColumnType
from mage_ai.data_cleaner.shared.utils import clean_dataframe
from mage_ai.shared.constants import SAMPLE_SIZE
from mage_ai.shared.custom_types import Fr... | null |
26,995 | from mage_ai.data_cleaner.analysis.constants import (
CHART_TYPE_BAR_HORIZONTAL,
CHART_TYPE_LINE_CHART,
CHART_TYPE_HISTOGRAM,
DATA_KEY_SCATTER_PLOT,
DATA_KEY_SCATTER_PLOT_LABELS,
DATA_KEY_TIME_SERIES,
LABEL_TYPE_RANGE,
)
from mage_ai.data_cleaner.column_types.constants import ColumnType
from... | null |
26,996 | from mage_ai.data_cleaner.analysis.constants import (
CHART_TYPE_BAR_HORIZONTAL,
CHART_TYPE_LINE_CHART,
CHART_TYPE_HISTOGRAM,
DATA_KEY_SCATTER_PLOT,
DATA_KEY_SCATTER_PLOT_LABELS,
DATA_KEY_TIME_SERIES,
LABEL_TYPE_RANGE,
)
from mage_ai.data_cleaner.column_types.constants import ColumnType
from... | null |
26,997 | from mage_ai.data_cleaner.analysis.constants import (
CHART_TYPE_BAR_HORIZONTAL,
CHART_TYPE_LINE_CHART,
CHART_TYPE_HISTOGRAM,
DATA_KEY_SCATTER_PLOT,
DATA_KEY_SCATTER_PLOT_LABELS,
DATA_KEY_TIME_SERIES,
LABEL_TYPE_RANGE,
)
from mage_ai.data_cleaner.column_types.constants import ColumnType
from... | null |
26,998 | from mage_ai.data_cleaner.analysis.constants import (
CHART_TYPE_BAR_HORIZONTAL,
CHART_TYPE_LINE_CHART,
CHART_TYPE_HISTOGRAM,
DATA_KEY_SCATTER_PLOT,
DATA_KEY_SCATTER_PLOT_LABELS,
DATA_KEY_TIME_SERIES,
LABEL_TYPE_RANGE,
)
from mage_ai.data_cleaner.column_types.constants import ColumnType
from... | Build sample data for scatter plot. Sample data consits of two parts: 1. Numeric features 2. Low cardinality categorical features |
26,999 | from mage_ai.data_cleaner.analysis import charts
from mage_ai.data_cleaner.analysis.constants import (
DATA_KEY_CHARTS,
DATA_KEY_CORRELATION,
DATA_KEY_TIME_SERIES,
)
from mage_ai.data_cleaner.column_types.constants import ColumnType
from mage_ai.data_cleaner.shared.utils import clean_dataframe, is_numeric_d... | null |
27,000 | from pandas import DataFrame
from typing import Dict, Tuple
import re
def default_resolution(df: DataFrame, action: Dict) -> Tuple[bool, str]:
return True, None | null |
27,001 | from pandas import DataFrame
from typing import Dict, Tuple
import re
def resolve_filter_action(df: DataFrame, action: Dict) -> Tuple[bool, str]:
for name in df.columns:
if re.search(r'\s', name):
return (
False,
'Column name contains whitespace or newline '
... | null |
27,002 | from keyword import iskeyword
from mage_ai.data_cleaner.column_types.column_type_detector import REGEX_NUMBER, infer_column_types
from mage_ai.data_cleaner.column_types.constants import ColumnType
from mage_ai.data_cleaner.transformer_actions.constants import (
ActionType,
Axis,
NameConventionPatterns,
)
fr... | null |
27,003 | from keyword import iskeyword
from mage_ai.data_cleaner.column_types.column_type_detector import REGEX_NUMBER, infer_column_types
from mage_ai.data_cleaner.column_types.constants import ColumnType
from mage_ai.data_cleaner.transformer_actions.constants import (
ActionType,
Axis,
NameConventionPatterns,
)
fr... | null |
27,004 | from mage_ai.data_cleaner.transformer_actions.spark.constants import (
COLUMN_TYPE_MAPPING,
GROUP_MOD_COLUMN,
ROW_NUMBER_COLUMN,
ROW_NUMBER_LIT_COLUMN,
)
from mage_ai.data_cleaner.transformer_actions.utils import clean_column_name
from pyspark.sql import functions as F
from pyspark.sql.functions import ... | null |
27,005 | from mage_ai.data_cleaner.transformer_actions.spark.constants import (
COLUMN_TYPE_MAPPING,
GROUP_MOD_COLUMN,
ROW_NUMBER_COLUMN,
ROW_NUMBER_LIT_COLUMN,
)
from mage_ai.data_cleaner.transformer_actions.utils import clean_column_name
from pyspark.sql import functions as F
from pyspark.sql.functions import ... | null |
27,006 | from mage_ai.data_cleaner.transformer_actions.spark.constants import (
COLUMN_TYPE_MAPPING,
GROUP_MOD_COLUMN,
ROW_NUMBER_COLUMN,
ROW_NUMBER_LIT_COLUMN,
)
from mage_ai.data_cleaner.transformer_actions.utils import clean_column_name
from pyspark.sql import functions as F
from pyspark.sql.functions import ... | null |
27,007 | from mage_ai.data_cleaner.transformer_actions.spark.constants import (
COLUMN_TYPE_MAPPING,
GROUP_MOD_COLUMN,
ROW_NUMBER_COLUMN,
ROW_NUMBER_LIT_COLUMN,
)
from mage_ai.data_cleaner.transformer_actions.utils import clean_column_name
from pyspark.sql import functions as F
from pyspark.sql.functions import ... | null |
27,008 | from mage_ai.data_cleaner.transformer_actions.spark.constants import (
COLUMN_TYPE_MAPPING,
GROUP_MOD_COLUMN,
ROW_NUMBER_COLUMN,
ROW_NUMBER_LIT_COLUMN,
)
from mage_ai.data_cleaner.transformer_actions.utils import clean_column_name
from pyspark.sql import functions as F
from pyspark.sql.functions import ... | null |
27,009 | from mage_ai.data_cleaner.transformer_actions.spark.constants import (
COLUMN_TYPE_MAPPING,
GROUP_MOD_COLUMN,
ROW_NUMBER_COLUMN,
ROW_NUMBER_LIT_COLUMN,
)
from mage_ai.data_cleaner.transformer_actions.utils import clean_column_name
from pyspark.sql import functions as F
from pyspark.sql.functions import ... | null |
27,010 | from mage_ai.data_cleaner.transformer_actions.spark.constants import (
COLUMN_TYPE_MAPPING,
GROUP_MOD_COLUMN,
ROW_NUMBER_COLUMN,
ROW_NUMBER_LIT_COLUMN,
)
from mage_ai.data_cleaner.transformer_actions.utils import clean_column_name
from pyspark.sql import functions as F
from pyspark.sql.functions import ... | null |
27,011 | from mage_ai.data_cleaner.transformer_actions.spark.constants import (
COLUMN_TYPE_MAPPING,
GROUP_MOD_COLUMN,
ROW_NUMBER_COLUMN,
ROW_NUMBER_LIT_COLUMN,
)
from mage_ai.data_cleaner.transformer_actions.utils import clean_column_name
from pyspark.sql import functions as F
from pyspark.sql.functions import ... | null |
27,012 | from mage_ai.data_cleaner.transformer_actions.spark.constants import (
COLUMN_TYPE_MAPPING,
GROUP_MOD_COLUMN,
ROW_NUMBER_COLUMN,
ROW_NUMBER_LIT_COLUMN,
)
from mage_ai.data_cleaner.transformer_actions.utils import clean_column_name
from pyspark.sql import functions as F
from pyspark.sql.functions import ... | null |
27,013 | from mage_ai.data_cleaner.transformer_actions.spark.constants import (
COLUMN_TYPE_MAPPING,
GROUP_MOD_COLUMN,
ROW_NUMBER_COLUMN,
ROW_NUMBER_LIT_COLUMN,
)
from mage_ai.data_cleaner.transformer_actions.utils import clean_column_name
from pyspark.sql import functions as F
from pyspark.sql.functions import ... | null |
27,014 | from mage_ai.data_cleaner.transformer_actions.spark.constants import (
COLUMN_TYPE_MAPPING,
GROUP_MOD_COLUMN,
ROW_NUMBER_COLUMN,
ROW_NUMBER_LIT_COLUMN,
)
from mage_ai.data_cleaner.transformer_actions.utils import clean_column_name
from pyspark.sql import functions as F
from pyspark.sql.functions import ... | null |
27,015 | from mage_ai.data_cleaner.transformer_actions.spark.constants import (
COLUMN_TYPE_MAPPING,
GROUP_MOD_COLUMN,
ROW_NUMBER_COLUMN,
ROW_NUMBER_LIT_COLUMN,
)
from mage_ai.data_cleaner.transformer_actions.utils import clean_column_name
from pyspark.sql import functions as F
from pyspark.sql.functions import ... | null |
27,016 | from mage_ai.data_cleaner.transformer_actions.spark.constants import (
COLUMN_TYPE_MAPPING,
GROUP_MOD_COLUMN,
ROW_NUMBER_COLUMN,
ROW_NUMBER_LIT_COLUMN,
)
from mage_ai.data_cleaner.transformer_actions.utils import clean_column_name
from pyspark.sql import functions as F
from pyspark.sql.functions import ... | null |
27,017 | from mage_ai.data_cleaner.transformer_actions.spark.constants import (
COLUMN_TYPE_MAPPING,
GROUP_MOD_COLUMN,
ROW_NUMBER_COLUMN,
ROW_NUMBER_LIT_COLUMN,
)
from mage_ai.data_cleaner.transformer_actions.utils import clean_column_name
from pyspark.sql import functions as F
from pyspark.sql.functions import ... | null |
27,018 | from mage_ai.data_cleaner.transformer_actions.spark.constants import (
COLUMN_TYPE_MAPPING,
GROUP_MOD_COLUMN,
ROW_NUMBER_COLUMN,
ROW_NUMBER_LIT_COLUMN,
)
from mage_ai.data_cleaner.transformer_actions.utils import clean_column_name
from pyspark.sql import functions as F
from pyspark.sql.functions import ... | null |
27,019 | from mage_ai.data_cleaner.transformer_actions.spark.constants import (
COLUMN_TYPE_MAPPING,
GROUP_MOD_COLUMN,
ROW_NUMBER_COLUMN,
ROW_NUMBER_LIT_COLUMN,
)
from mage_ai.data_cleaner.transformer_actions.utils import clean_column_name
from pyspark.sql import functions as F
from pyspark.sql.functions import ... | null |
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