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1,432 | import asyncio
import json
import platform
import sys
import threading
import warnings
from contextlib import asynccontextmanager
from json import JSONDecodeError
from typing import (
AsyncGenerator,
AsyncIterator,
Dict,
Iterator,
Optional,
Tuple,
Union,
overload,
)
from urllib.parse import urlencode, urlsplit, urlunsplit
import aiohttp
import requests
import openai
from openai import error, util, version
from openai.openai_response import OpenAIResponse
from openai.util import ApiType
MAX_CONNECTION_RETRIES = 2
def _requests_proxies_arg(proxy) -> Optional[Dict[str, str]]:
"""Returns a value suitable for the 'proxies' argument to 'requests.request."""
if proxy is None:
return None
elif isinstance(proxy, str):
return {"http": proxy, "https": proxy}
elif isinstance(proxy, dict):
return proxy.copy()
else:
raise ValueError(
"'openai.proxy' must be specified as either a string URL or a dict with string URL under the https and/or http keys."
)
def _make_session() -> requests.Session:
if not openai.verify_ssl_certs:
warnings.warn("verify_ssl_certs is ignored; openai always verifies.")
s = requests.Session()
proxies = _requests_proxies_arg(openai.proxy)
if proxies:
s.proxies = proxies
s.mount(
"https://",
requests.adapters.HTTPAdapter(max_retries=MAX_CONNECTION_RETRIES),
)
return s | null |
1,433 | import asyncio
import json
import platform
import sys
import threading
import warnings
from contextlib import asynccontextmanager
from json import JSONDecodeError
from typing import (
AsyncGenerator,
AsyncIterator,
Dict,
Iterator,
Optional,
Tuple,
Union,
overload,
)
from urllib.parse import urlencode, urlsplit, urlunsplit
import aiohttp
import requests
import openai
from openai import error, util, version
from openai.openai_response import OpenAIResponse
from openai.util import ApiType
def parse_stream_helper(line: bytes) -> Optional[str]:
if line:
if line.strip() == b"data: [DONE]":
# return here will cause GeneratorExit exception in urllib3
# and it will close http connection with TCP Reset
return None
if line.startswith(b"data: "):
line = line[len(b"data: "):]
return line.decode("utf-8")
else:
return None
return None
def parse_stream(rbody: Iterator[bytes]) -> Iterator[str]:
for line in rbody:
_line = parse_stream_helper(line)
if _line is not None:
yield _line | null |
1,434 | import asyncio
import json
import platform
import sys
import threading
import warnings
from contextlib import asynccontextmanager
from json import JSONDecodeError
from typing import (
AsyncGenerator,
AsyncIterator,
Dict,
Iterator,
Optional,
Tuple,
Union,
overload,
)
from urllib.parse import urlencode, urlsplit, urlunsplit
import aiohttp
import requests
import openai
from openai import error, util, version
from openai.openai_response import OpenAIResponse
from openai.util import ApiType
def parse_stream_helper(line: bytes) -> Optional[str]:
if line:
if line.strip() == b"data: [DONE]":
# return here will cause GeneratorExit exception in urllib3
# and it will close http connection with TCP Reset
return None
if line.startswith(b"data: "):
line = line[len(b"data: "):]
return line.decode("utf-8")
else:
return None
return None
async def parse_stream_async(rbody: aiohttp.StreamReader):
async for line in rbody:
_line = parse_stream_helper(line)
if _line is not None:
yield _line | null |
1,435 | import asyncio
import json
import platform
import sys
import threading
import warnings
from contextlib import asynccontextmanager
from json import JSONDecodeError
from typing import (
AsyncGenerator,
AsyncIterator,
Dict,
Iterator,
Optional,
Tuple,
Union,
overload,
)
from urllib.parse import urlencode, urlsplit, urlunsplit
import aiohttp
import requests
import openai
from openai import error, util, version
from openai.openai_response import OpenAIResponse
from openai.util import ApiType
async def aiohttp_session() -> AsyncIterator[aiohttp.ClientSession]:
user_set_session = openai.aiosession.get()
if user_set_session:
yield user_set_session
else:
async with aiohttp.ClientSession() as session:
yield session | null |
1,436 | from urllib.parse import quote_plus
from openai import api_requestor, util
def _nested_resource_class_methods(
resource,
path=None,
operations=None,
resource_plural=None,
async_=False,
):
if resource_plural is None:
resource_plural = "%ss" % resource
if path is None:
path = resource_plural
if operations is None:
raise ValueError("operations list required")
def wrapper(cls):
def nested_resource_url(cls, id, nested_id=None):
url = "%s/%s/%s" % (cls.class_url(), quote_plus(id), quote_plus(path))
if nested_id is not None:
url += "/%s" % quote_plus(nested_id)
return url
resource_url_method = "%ss_url" % resource
setattr(cls, resource_url_method, classmethod(nested_resource_url))
def nested_resource_request(
cls,
method,
url,
api_key=None,
request_id=None,
api_version=None,
organization=None,
**params,
):
requestor = api_requestor.APIRequestor(
api_key, api_version=api_version, organization=organization
)
response, _, api_key = requestor.request(
method, url, params, request_id=request_id
)
return util.convert_to_openai_object(
response, api_key, api_version, organization
)
async def anested_resource_request(
cls,
method,
url,
api_key=None,
request_id=None,
api_version=None,
organization=None,
**params,
):
requestor = api_requestor.APIRequestor(
api_key, api_version=api_version, organization=organization
)
response, _, api_key = await requestor.arequest(
method, url, params, request_id=request_id
)
return util.convert_to_openai_object(
response, api_key, api_version, organization
)
resource_request_method = "%ss_request" % resource
setattr(
cls,
resource_request_method,
classmethod(
anested_resource_request if async_ else nested_resource_request
),
)
for operation in operations:
if operation == "create":
def create_nested_resource(cls, id, **params):
url = getattr(cls, resource_url_method)(id)
return getattr(cls, resource_request_method)("post", url, **params)
create_method = "create_%s" % resource
setattr(cls, create_method, classmethod(create_nested_resource))
elif operation == "retrieve":
def retrieve_nested_resource(cls, id, nested_id, **params):
url = getattr(cls, resource_url_method)(id, nested_id)
return getattr(cls, resource_request_method)("get", url, **params)
retrieve_method = "retrieve_%s" % resource
setattr(cls, retrieve_method, classmethod(retrieve_nested_resource))
elif operation == "update":
def modify_nested_resource(cls, id, nested_id, **params):
url = getattr(cls, resource_url_method)(id, nested_id)
return getattr(cls, resource_request_method)("post", url, **params)
modify_method = "modify_%s" % resource
setattr(cls, modify_method, classmethod(modify_nested_resource))
elif operation == "delete":
def delete_nested_resource(cls, id, nested_id, **params):
url = getattr(cls, resource_url_method)(id, nested_id)
return getattr(cls, resource_request_method)(
"delete", url, **params
)
delete_method = "delete_%s" % resource
setattr(cls, delete_method, classmethod(delete_nested_resource))
elif operation == "list":
def list_nested_resources(cls, id, **params):
url = getattr(cls, resource_url_method)(id)
return getattr(cls, resource_request_method)("get", url, **params)
list_method = "list_%s" % resource_plural
setattr(cls, list_method, classmethod(list_nested_resources))
else:
raise ValueError("Unknown operation: %s" % operation)
return cls
return wrapper
def nested_resource_class_methods(
resource,
path=None,
operations=None,
resource_plural=None,
):
return _nested_resource_class_methods(
resource, path, operations, resource_plural, async_=False
) | null |
1,437 | from urllib.parse import quote_plus
from openai import api_requestor, util
def _nested_resource_class_methods(
resource,
path=None,
operations=None,
resource_plural=None,
async_=False,
):
if resource_plural is None:
resource_plural = "%ss" % resource
if path is None:
path = resource_plural
if operations is None:
raise ValueError("operations list required")
def wrapper(cls):
def nested_resource_url(cls, id, nested_id=None):
url = "%s/%s/%s" % (cls.class_url(), quote_plus(id), quote_plus(path))
if nested_id is not None:
url += "/%s" % quote_plus(nested_id)
return url
resource_url_method = "%ss_url" % resource
setattr(cls, resource_url_method, classmethod(nested_resource_url))
def nested_resource_request(
cls,
method,
url,
api_key=None,
request_id=None,
api_version=None,
organization=None,
**params,
):
requestor = api_requestor.APIRequestor(
api_key, api_version=api_version, organization=organization
)
response, _, api_key = requestor.request(
method, url, params, request_id=request_id
)
return util.convert_to_openai_object(
response, api_key, api_version, organization
)
async def anested_resource_request(
cls,
method,
url,
api_key=None,
request_id=None,
api_version=None,
organization=None,
**params,
):
requestor = api_requestor.APIRequestor(
api_key, api_version=api_version, organization=organization
)
response, _, api_key = await requestor.arequest(
method, url, params, request_id=request_id
)
return util.convert_to_openai_object(
response, api_key, api_version, organization
)
resource_request_method = "%ss_request" % resource
setattr(
cls,
resource_request_method,
classmethod(
anested_resource_request if async_ else nested_resource_request
),
)
for operation in operations:
if operation == "create":
def create_nested_resource(cls, id, **params):
url = getattr(cls, resource_url_method)(id)
return getattr(cls, resource_request_method)("post", url, **params)
create_method = "create_%s" % resource
setattr(cls, create_method, classmethod(create_nested_resource))
elif operation == "retrieve":
def retrieve_nested_resource(cls, id, nested_id, **params):
url = getattr(cls, resource_url_method)(id, nested_id)
return getattr(cls, resource_request_method)("get", url, **params)
retrieve_method = "retrieve_%s" % resource
setattr(cls, retrieve_method, classmethod(retrieve_nested_resource))
elif operation == "update":
def modify_nested_resource(cls, id, nested_id, **params):
url = getattr(cls, resource_url_method)(id, nested_id)
return getattr(cls, resource_request_method)("post", url, **params)
modify_method = "modify_%s" % resource
setattr(cls, modify_method, classmethod(modify_nested_resource))
elif operation == "delete":
def delete_nested_resource(cls, id, nested_id, **params):
url = getattr(cls, resource_url_method)(id, nested_id)
return getattr(cls, resource_request_method)(
"delete", url, **params
)
delete_method = "delete_%s" % resource
setattr(cls, delete_method, classmethod(delete_nested_resource))
elif operation == "list":
def list_nested_resources(cls, id, **params):
url = getattr(cls, resource_url_method)(id)
return getattr(cls, resource_request_method)("get", url, **params)
list_method = "list_%s" % resource_plural
setattr(cls, list_method, classmethod(list_nested_resources))
else:
raise ValueError("Unknown operation: %s" % operation)
return cls
return wrapper
def anested_resource_class_methods(
resource,
path=None,
operations=None,
resource_plural=None,
):
return _nested_resource_class_methods(
resource, path, operations, resource_plural, async_=True
) | null |
1,438 | import os
import sys
from typing import Any, Callable, NamedTuple, Optional
from openai.datalib import pandas as pd, assert_has_pandas
class Remediation(NamedTuple):
name: str
immediate_msg: Optional[str] = None
necessary_msg: Optional[str] = None
necessary_fn: Optional[Callable[[Any], Any]] = None
optional_msg: Optional[str] = None
optional_fn: Optional[Callable[[Any], Any]] = None
error_msg: Optional[str] = None
The provided code snippet includes necessary dependencies for implementing the `read_any_format` function. Write a Python function `def read_any_format(fname, fields=["prompt", "completion"])` to solve the following problem:
This function will read a file saved in .csv, .json, .txt, .xlsx or .tsv format using pandas. - for .xlsx it will read the first sheet - for .txt it will assume completions and split on newline
Here is the function:
def read_any_format(fname, fields=["prompt", "completion"]):
"""
This function will read a file saved in .csv, .json, .txt, .xlsx or .tsv format using pandas.
- for .xlsx it will read the first sheet
- for .txt it will assume completions and split on newline
"""
assert_has_pandas()
remediation = None
necessary_msg = None
immediate_msg = None
error_msg = None
df = None
if os.path.isfile(fname):
try:
if fname.lower().endswith(".csv") or fname.lower().endswith(".tsv"):
file_extension_str, separator = (
("CSV", ",") if fname.lower().endswith(".csv") else ("TSV", "\t")
)
immediate_msg = f"\n- Based on your file extension, your file is formatted as a {file_extension_str} file"
necessary_msg = (
f"Your format `{file_extension_str}` will be converted to `JSONL`"
)
df = pd.read_csv(fname, sep=separator, dtype=str).fillna("")
elif fname.lower().endswith(".xlsx"):
immediate_msg = "\n- Based on your file extension, your file is formatted as an Excel file"
necessary_msg = "Your format `XLSX` will be converted to `JSONL`"
xls = pd.ExcelFile(fname)
sheets = xls.sheet_names
if len(sheets) > 1:
immediate_msg += "\n- Your Excel file contains more than one sheet. Please either save as csv or ensure all data is present in the first sheet. WARNING: Reading only the first sheet..."
df = pd.read_excel(fname, dtype=str).fillna("")
elif fname.lower().endswith(".txt"):
immediate_msg = (
"\n- Based on your file extension, you provided a text file"
)
necessary_msg = "Your format `TXT` will be converted to `JSONL`"
with open(fname, "r") as f:
content = f.read()
df = pd.DataFrame(
[["", line] for line in content.split("\n")],
columns=fields,
dtype=str,
).fillna("")
elif fname.lower().endswith(".jsonl"):
df = pd.read_json(fname, lines=True, dtype=str).fillna("")
if len(df) == 1:
# this is NOT what we expect for a .jsonl file
immediate_msg = "\n- Your JSONL file appears to be in a JSON format. Your file will be converted to JSONL format"
necessary_msg = "Your format `JSON` will be converted to `JSONL`"
df = pd.read_json(fname, dtype=str).fillna("")
else:
pass # this is what we expect for a .jsonl file
elif fname.lower().endswith(".json"):
df = pd.read_json(fname, lines=True, dtype=str).fillna("")
if len(df) == 1:
# this is what we expect for a .json file
df = pd.read_json(fname, dtype=str).fillna("")
else:
# this is NOT what we expect for a .json file
immediate_msg = "\n- Your JSON file appears to be in a JSONL format. Your file will be converted to JSONL format"
necessary_msg = "Your format `JSON` will be converted to `JSONL`"
else:
error_msg = "Your file must have one of the following extensions: .CSV, .TSV, .XLSX, .TXT, .JSON or .JSONL"
if "." in fname:
error_msg += f" Your file `{fname}` ends with the extension `.{fname.split('.')[-1]}` which is not supported."
else:
error_msg += f" Your file `{fname}` is missing a file extension."
except (ValueError, TypeError):
file_extension_str = fname.split(".")[-1].upper()
error_msg = f"Your file `{fname}` does not appear to be in valid {file_extension_str} format. Please ensure your file is formatted as a valid {file_extension_str} file."
else:
error_msg = f"File {fname} does not exist."
remediation = Remediation(
name="read_any_format",
necessary_msg=necessary_msg,
immediate_msg=immediate_msg,
error_msg=error_msg,
)
return df, remediation | This function will read a file saved in .csv, .json, .txt, .xlsx or .tsv format using pandas. - for .xlsx it will read the first sheet - for .txt it will assume completions and split on newline |
1,439 | import os
import sys
from typing import Any, Callable, NamedTuple, Optional
from openai.datalib import pandas as pd, assert_has_pandas
def accept_suggestion(input_text, auto_accept):
sys.stdout.write(input_text)
if auto_accept:
sys.stdout.write("Y\n")
return True
return input().lower() != "n"
def estimate_fine_tuning_time(df):
"""
Estimate the time it'll take to fine-tune the dataset
"""
ft_format = infer_task_type(df)
expected_time = 1.0
if ft_format == "classification":
num_examples = len(df)
expected_time = num_examples * 1.44
else:
size = df.memory_usage(index=True).sum()
expected_time = size * 0.0515
def format_time(time):
if time < 60:
return f"{round(time, 2)} seconds"
elif time < 3600:
return f"{round(time / 60, 2)} minutes"
elif time < 86400:
return f"{round(time / 3600, 2)} hours"
else:
return f"{round(time / 86400, 2)} days"
time_string = format_time(expected_time + 140)
sys.stdout.write(
f"Once your model starts training, it'll approximately take {time_string} to train a `curie` model, and less for `ada` and `babbage`. Queue will approximately take half an hour per job ahead of you.\n"
)
def get_outfnames(fname, split):
suffixes = ["_train", "_valid"] if split else [""]
i = 0
while True:
index_suffix = f" ({i})" if i > 0 else ""
candidate_fnames = [
os.path.splitext(fname)[0] + "_prepared" + suffix + index_suffix + ".jsonl"
for suffix in suffixes
]
if not any(os.path.isfile(f) for f in candidate_fnames):
return candidate_fnames
i += 1
def get_classification_hyperparams(df):
n_classes = df.completion.nunique()
pos_class = None
if n_classes == 2:
pos_class = df.completion.value_counts().index[0]
return n_classes, pos_class
def infer_task_type(df):
"""
Infer the likely fine-tuning task type from the data
"""
CLASSIFICATION_THRESHOLD = 3 # min_average instances of each class
if sum(df.prompt.str.len()) == 0:
return "open-ended generation"
if len(df.completion.unique()) < len(df) / CLASSIFICATION_THRESHOLD:
return "classification"
return "conditional generation"
def get_common_xfix(series, xfix="suffix"):
"""
Finds the longest common suffix or prefix of all the values in a series
"""
common_xfix = ""
while True:
common_xfixes = (
series.str[-(len(common_xfix) + 1) :]
if xfix == "suffix"
else series.str[: len(common_xfix) + 1]
) # first few or last few characters
if (
common_xfixes.nunique() != 1
): # we found the character at which we don't have a unique xfix anymore
break
elif (
common_xfix == common_xfixes.values[0]
): # the entire first row is a prefix of every other row
break
else: # the first or last few characters are still common across all rows - let's try to add one more
common_xfix = common_xfixes.values[0]
return common_xfix
The provided code snippet includes necessary dependencies for implementing the `write_out_file` function. Write a Python function `def write_out_file(df, fname, any_remediations, auto_accept)` to solve the following problem:
This function will write out a dataframe to a file, if the user would like to proceed, and also offer a fine-tuning command with the newly created file. For classification it will optionally ask the user if they would like to split the data into train/valid files, and modify the suggested command to include the valid set.
Here is the function:
def write_out_file(df, fname, any_remediations, auto_accept):
"""
This function will write out a dataframe to a file, if the user would like to proceed, and also offer a fine-tuning command with the newly created file.
For classification it will optionally ask the user if they would like to split the data into train/valid files, and modify the suggested command to include the valid set.
"""
ft_format = infer_task_type(df)
common_prompt_suffix = get_common_xfix(df.prompt, xfix="suffix")
common_completion_suffix = get_common_xfix(df.completion, xfix="suffix")
split = False
input_text = "- [Recommended] Would you like to split into training and validation set? [Y/n]: "
if ft_format == "classification":
if accept_suggestion(input_text, auto_accept):
split = True
additional_params = ""
common_prompt_suffix_new_line_handled = common_prompt_suffix.replace("\n", "\\n")
common_completion_suffix_new_line_handled = common_completion_suffix.replace(
"\n", "\\n"
)
optional_ending_string = (
f' Make sure to include `stop=["{common_completion_suffix_new_line_handled}"]` so that the generated texts ends at the expected place.'
if len(common_completion_suffix_new_line_handled) > 0
else ""
)
input_text = "\n\nYour data will be written to a new JSONL file. Proceed [Y/n]: "
if not any_remediations and not split:
sys.stdout.write(
f'\nYou can use your file for fine-tuning:\n> openai api fine_tunes.create -t "{fname}"{additional_params}\n\nAfter you’ve fine-tuned a model, remember that your prompt has to end with the indicator string `{common_prompt_suffix_new_line_handled}` for the model to start generating completions, rather than continuing with the prompt.{optional_ending_string}\n'
)
estimate_fine_tuning_time(df)
elif accept_suggestion(input_text, auto_accept):
fnames = get_outfnames(fname, split)
if split:
assert len(fnames) == 2 and "train" in fnames[0] and "valid" in fnames[1]
MAX_VALID_EXAMPLES = 1000
n_train = max(len(df) - MAX_VALID_EXAMPLES, int(len(df) * 0.8))
df_train = df.sample(n=n_train, random_state=42)
df_valid = df.drop(df_train.index)
df_train[["prompt", "completion"]].to_json(
fnames[0], lines=True, orient="records", force_ascii=False
)
df_valid[["prompt", "completion"]].to_json(
fnames[1], lines=True, orient="records", force_ascii=False
)
n_classes, pos_class = get_classification_hyperparams(df)
additional_params += " --compute_classification_metrics"
if n_classes == 2:
additional_params += f' --classification_positive_class "{pos_class}"'
else:
additional_params += f" --classification_n_classes {n_classes}"
else:
assert len(fnames) == 1
df[["prompt", "completion"]].to_json(
fnames[0], lines=True, orient="records", force_ascii=False
)
# Add -v VALID_FILE if we split the file into train / valid
files_string = ("s" if split else "") + " to `" + ("` and `".join(fnames))
valid_string = f' -v "{fnames[1]}"' if split else ""
separator_reminder = (
""
if len(common_prompt_suffix_new_line_handled) == 0
else f"After you’ve fine-tuned a model, remember that your prompt has to end with the indicator string `{common_prompt_suffix_new_line_handled}` for the model to start generating completions, rather than continuing with the prompt."
)
sys.stdout.write(
f'\nWrote modified file{files_string}`\nFeel free to take a look!\n\nNow use that file when fine-tuning:\n> openai api fine_tunes.create -t "{fnames[0]}"{valid_string}{additional_params}\n\n{separator_reminder}{optional_ending_string}\n'
)
estimate_fine_tuning_time(df)
else:
sys.stdout.write("Aborting... did not write the file\n") | This function will write out a dataframe to a file, if the user would like to proceed, and also offer a fine-tuning command with the newly created file. For classification it will optionally ask the user if they would like to split the data into train/valid files, and modify the suggested command to include the valid set. |
1,440 | import os
import sys
from typing import Any, Callable, NamedTuple, Optional
from openai.datalib import pandas as pd, assert_has_pandas
def num_examples_validator(df):
"""
This validator will only print out the number of examples and recommend to the user to increase the number of examples if less than 100.
"""
MIN_EXAMPLES = 100
optional_suggestion = (
""
if len(df) >= MIN_EXAMPLES
else ". In general, we recommend having at least a few hundred examples. We've found that performance tends to linearly increase for every doubling of the number of examples"
)
immediate_msg = (
f"\n- Your file contains {len(df)} prompt-completion pairs{optional_suggestion}"
)
return Remediation(name="num_examples", immediate_msg=immediate_msg)
def necessary_column_validator(df, necessary_column):
"""
This validator will ensure that the necessary column is present in the dataframe.
"""
def lower_case_column(df, column):
cols = [c for c in df.columns if str(c).lower() == column]
df.rename(columns={cols[0]: column.lower()}, inplace=True)
return df
immediate_msg = None
necessary_fn = None
necessary_msg = None
error_msg = None
if necessary_column not in df.columns:
if necessary_column in [str(c).lower() for c in df.columns]:
def lower_case_column_creator(df):
return lower_case_column(df, necessary_column)
necessary_fn = lower_case_column_creator
immediate_msg = (
f"\n- The `{necessary_column}` column/key should be lowercase"
)
necessary_msg = f"Lower case column name to `{necessary_column}`"
else:
error_msg = f"`{necessary_column}` column/key is missing. Please make sure you name your columns/keys appropriately, then retry"
return Remediation(
name="necessary_column",
immediate_msg=immediate_msg,
necessary_msg=necessary_msg,
necessary_fn=necessary_fn,
error_msg=error_msg,
)
def additional_column_validator(df, fields=["prompt", "completion"]):
"""
This validator will remove additional columns from the dataframe.
"""
additional_columns = []
necessary_msg = None
immediate_msg = None
necessary_fn = None
if len(df.columns) > 2:
additional_columns = [c for c in df.columns if c not in fields]
warn_message = ""
for ac in additional_columns:
dups = [c for c in additional_columns if ac in c]
if len(dups) > 0:
warn_message += f"\n WARNING: Some of the additional columns/keys contain `{ac}` in their name. These will be ignored, and the column/key `{ac}` will be used instead. This could also result from a duplicate column/key in the provided file."
immediate_msg = f"\n- The input file should contain exactly two columns/keys per row. Additional columns/keys present are: {additional_columns}{warn_message}"
necessary_msg = f"Remove additional columns/keys: {additional_columns}"
def necessary_fn(x):
return x[fields]
return Remediation(
name="additional_column",
immediate_msg=immediate_msg,
necessary_msg=necessary_msg,
necessary_fn=necessary_fn,
)
def non_empty_field_validator(df, field="completion"):
"""
This validator will ensure that no completion is empty.
"""
necessary_msg = None
necessary_fn = None
immediate_msg = None
if df[field].apply(lambda x: x == "").any() or df[field].isnull().any():
empty_rows = (df[field] == "") | (df[field].isnull())
empty_indexes = df.reset_index().index[empty_rows].tolist()
immediate_msg = f"\n- `{field}` column/key should not contain empty strings. These are rows: {empty_indexes}"
def necessary_fn(x):
return x[x[field] != ""].dropna(subset=[field])
necessary_msg = f"Remove {len(empty_indexes)} rows with empty {field}s"
return Remediation(
name=f"empty_{field}",
immediate_msg=immediate_msg,
necessary_msg=necessary_msg,
necessary_fn=necessary_fn,
)
def duplicated_rows_validator(df, fields=["prompt", "completion"]):
"""
This validator will suggest to the user to remove duplicate rows if they exist.
"""
duplicated_rows = df.duplicated(subset=fields)
duplicated_indexes = df.reset_index().index[duplicated_rows].tolist()
immediate_msg = None
optional_msg = None
optional_fn = None
if len(duplicated_indexes) > 0:
immediate_msg = f"\n- There are {len(duplicated_indexes)} duplicated {'-'.join(fields)} sets. These are rows: {duplicated_indexes}"
optional_msg = f"Remove {len(duplicated_indexes)} duplicate rows"
def optional_fn(x):
return x.drop_duplicates(subset=fields)
return Remediation(
name="duplicated_rows",
immediate_msg=immediate_msg,
optional_msg=optional_msg,
optional_fn=optional_fn,
)
def long_examples_validator(df):
"""
This validator will suggest to the user to remove examples that are too long.
"""
immediate_msg = None
optional_msg = None
optional_fn = None
ft_type = infer_task_type(df)
if ft_type != "open-ended generation":
def get_long_indexes(d):
long_examples = d.apply(
lambda x: len(x.prompt) + len(x.completion) > 10000, axis=1
)
return d.reset_index().index[long_examples].tolist()
long_indexes = get_long_indexes(df)
if len(long_indexes) > 0:
immediate_msg = f"\n- There are {len(long_indexes)} examples that are very long. These are rows: {long_indexes}\nFor conditional generation, and for classification the examples shouldn't be longer than 2048 tokens."
optional_msg = f"Remove {len(long_indexes)} long examples"
def optional_fn(x):
long_indexes_to_drop = get_long_indexes(x)
if long_indexes != long_indexes_to_drop:
sys.stdout.write(f"The indices of the long examples has changed as a result of a previously applied recommendation.\nThe {len(long_indexes_to_drop)} long examples to be dropped are now at the following indices: {long_indexes_to_drop}\n")
return x.drop(long_indexes_to_drop)
return Remediation(
name="long_examples",
immediate_msg=immediate_msg,
optional_msg=optional_msg,
optional_fn=optional_fn,
)
def common_prompt_suffix_validator(df):
"""
This validator will suggest to add a common suffix to the prompt if one doesn't already exist in case of classification or conditional generation.
"""
error_msg = None
immediate_msg = None
optional_msg = None
optional_fn = None
# Find a suffix which is not contained within the prompt otherwise
suggested_suffix = "\n\n### =>\n\n"
suffix_options = [
" ->",
"\n\n###\n\n",
"\n\n===\n\n",
"\n\n---\n\n",
"\n\n===>\n\n",
"\n\n--->\n\n",
]
for suffix_option in suffix_options:
if suffix_option == " ->":
if df.prompt.str.contains("\n").any():
continue
if df.prompt.str.contains(suffix_option, regex=False).any():
continue
suggested_suffix = suffix_option
break
display_suggested_suffix = suggested_suffix.replace("\n", "\\n")
ft_type = infer_task_type(df)
if ft_type == "open-ended generation":
return Remediation(name="common_suffix")
def add_suffix(x, suffix):
x["prompt"] += suffix
return x
common_suffix = get_common_xfix(df.prompt, xfix="suffix")
if (df.prompt == common_suffix).all():
error_msg = f"All prompts are identical: `{common_suffix}`\nConsider leaving the prompts blank if you want to do open-ended generation, otherwise ensure prompts are different"
return Remediation(name="common_suffix", error_msg=error_msg)
if common_suffix != "":
common_suffix_new_line_handled = common_suffix.replace("\n", "\\n")
immediate_msg = (
f"\n- All prompts end with suffix `{common_suffix_new_line_handled}`"
)
if len(common_suffix) > 10:
immediate_msg += f". This suffix seems very long. Consider replacing with a shorter suffix, such as `{display_suggested_suffix}`"
if (
df.prompt.str[: -len(common_suffix)]
.str.contains(common_suffix, regex=False)
.any()
):
immediate_msg += f"\n WARNING: Some of your prompts contain the suffix `{common_suffix}` more than once. We strongly suggest that you review your prompts and add a unique suffix"
else:
immediate_msg = "\n- Your data does not contain a common separator at the end of your prompts. Having a separator string appended to the end of the prompt makes it clearer to the fine-tuned model where the completion should begin. See https://platform.openai.com/docs/guides/fine-tuning/preparing-your-dataset for more detail and examples. If you intend to do open-ended generation, then you should leave the prompts empty"
if common_suffix == "":
optional_msg = (
f"Add a suffix separator `{display_suggested_suffix}` to all prompts"
)
def optional_fn(x):
return add_suffix(x, suggested_suffix)
return Remediation(
name="common_completion_suffix",
immediate_msg=immediate_msg,
optional_msg=optional_msg,
optional_fn=optional_fn,
error_msg=error_msg,
)
def common_prompt_prefix_validator(df):
"""
This validator will suggest to remove a common prefix from the prompt if a long one exist.
"""
MAX_PREFIX_LEN = 12
immediate_msg = None
optional_msg = None
optional_fn = None
common_prefix = get_common_xfix(df.prompt, xfix="prefix")
if common_prefix == "":
return Remediation(name="common_prefix")
def remove_common_prefix(x, prefix):
x["prompt"] = x["prompt"].str[len(prefix) :]
return x
if (df.prompt == common_prefix).all():
# already handled by common_suffix_validator
return Remediation(name="common_prefix")
if common_prefix != "":
immediate_msg = f"\n- All prompts start with prefix `{common_prefix}`"
if MAX_PREFIX_LEN < len(common_prefix):
immediate_msg += ". Fine-tuning doesn't require the instruction specifying the task, or a few-shot example scenario. Most of the time you should only add the input data into the prompt, and the desired output into the completion"
optional_msg = f"Remove prefix `{common_prefix}` from all prompts"
def optional_fn(x):
return remove_common_prefix(x, common_prefix)
return Remediation(
name="common_prompt_prefix",
immediate_msg=immediate_msg,
optional_msg=optional_msg,
optional_fn=optional_fn,
)
def common_completion_prefix_validator(df):
"""
This validator will suggest to remove a common prefix from the completion if a long one exist.
"""
MAX_PREFIX_LEN = 5
common_prefix = get_common_xfix(df.completion, xfix="prefix")
ws_prefix = len(common_prefix) > 0 and common_prefix[0] == " "
if len(common_prefix) < MAX_PREFIX_LEN:
return Remediation(name="common_prefix")
def remove_common_prefix(x, prefix, ws_prefix):
x["completion"] = x["completion"].str[len(prefix) :]
if ws_prefix:
# keep the single whitespace as prefix
x["completion"] = " " + x["completion"]
return x
if (df.completion == common_prefix).all():
# already handled by common_suffix_validator
return Remediation(name="common_prefix")
immediate_msg = f"\n- All completions start with prefix `{common_prefix}`. Most of the time you should only add the output data into the completion, without any prefix"
optional_msg = f"Remove prefix `{common_prefix}` from all completions"
def optional_fn(x):
return remove_common_prefix(x, common_prefix, ws_prefix)
return Remediation(
name="common_completion_prefix",
immediate_msg=immediate_msg,
optional_msg=optional_msg,
optional_fn=optional_fn,
)
def common_completion_suffix_validator(df):
"""
This validator will suggest to add a common suffix to the completion if one doesn't already exist in case of classification or conditional generation.
"""
error_msg = None
immediate_msg = None
optional_msg = None
optional_fn = None
ft_type = infer_task_type(df)
if ft_type == "open-ended generation" or ft_type == "classification":
return Remediation(name="common_suffix")
common_suffix = get_common_xfix(df.completion, xfix="suffix")
if (df.completion == common_suffix).all():
error_msg = f"All completions are identical: `{common_suffix}`\nEnsure completions are different, otherwise the model will just repeat `{common_suffix}`"
return Remediation(name="common_suffix", error_msg=error_msg)
# Find a suffix which is not contained within the completion otherwise
suggested_suffix = " [END]"
suffix_options = [
"\n",
".",
" END",
"***",
"+++",
"&&&",
"$$$",
"@@@",
"%%%",
]
for suffix_option in suffix_options:
if df.completion.str.contains(suffix_option, regex=False).any():
continue
suggested_suffix = suffix_option
break
display_suggested_suffix = suggested_suffix.replace("\n", "\\n")
def add_suffix(x, suffix):
x["completion"] += suffix
return x
if common_suffix != "":
common_suffix_new_line_handled = common_suffix.replace("\n", "\\n")
immediate_msg = (
f"\n- All completions end with suffix `{common_suffix_new_line_handled}`"
)
if len(common_suffix) > 10:
immediate_msg += f". This suffix seems very long. Consider replacing with a shorter suffix, such as `{display_suggested_suffix}`"
if (
df.completion.str[: -len(common_suffix)]
.str.contains(common_suffix, regex=False)
.any()
):
immediate_msg += f"\n WARNING: Some of your completions contain the suffix `{common_suffix}` more than once. We suggest that you review your completions and add a unique ending"
else:
immediate_msg = "\n- Your data does not contain a common ending at the end of your completions. Having a common ending string appended to the end of the completion makes it clearer to the fine-tuned model where the completion should end. See https://platform.openai.com/docs/guides/fine-tuning/preparing-your-dataset for more detail and examples."
if common_suffix == "":
optional_msg = (
f"Add a suffix ending `{display_suggested_suffix}` to all completions"
)
def optional_fn(x):
return add_suffix(x, suggested_suffix)
return Remediation(
name="common_completion_suffix",
immediate_msg=immediate_msg,
optional_msg=optional_msg,
optional_fn=optional_fn,
error_msg=error_msg,
)
def completions_space_start_validator(df):
"""
This validator will suggest to add a space at the start of the completion if it doesn't already exist. This helps with tokenization.
"""
def add_space_start(x):
x["completion"] = x["completion"].apply(
lambda x: ("" if x[0] == " " else " ") + x
)
return x
optional_msg = None
optional_fn = None
immediate_msg = None
if df.completion.str[:1].nunique() != 1 or df.completion.values[0][0] != " ":
immediate_msg = "\n- The completion should start with a whitespace character (` `). This tends to produce better results due to the tokenization we use. See https://platform.openai.com/docs/guides/fine-tuning/preparing-your-dataset for more details"
optional_msg = "Add a whitespace character to the beginning of the completion"
optional_fn = add_space_start
return Remediation(
name="completion_space_start",
immediate_msg=immediate_msg,
optional_msg=optional_msg,
optional_fn=optional_fn,
)
def lower_case_validator(df, column):
"""
This validator will suggest to lowercase the column values, if more than a third of letters are uppercase.
"""
def lower_case(x):
x[column] = x[column].str.lower()
return x
count_upper = (
df[column]
.apply(lambda x: sum(1 for c in x if c.isalpha() and c.isupper()))
.sum()
)
count_lower = (
df[column]
.apply(lambda x: sum(1 for c in x if c.isalpha() and c.islower()))
.sum()
)
if count_upper * 2 > count_lower:
return Remediation(
name="lower_case",
immediate_msg=f"\n- More than a third of your `{column}` column/key is uppercase. Uppercase {column}s tends to perform worse than a mixture of case encountered in normal language. We recommend to lower case the data if that makes sense in your domain. See https://platform.openai.com/docs/guides/fine-tuning/preparing-your-dataset for more details",
optional_msg=f"Lowercase all your data in column/key `{column}`",
optional_fn=lower_case,
)
def format_inferrer_validator(df):
"""
This validator will infer the likely fine-tuning format of the data, and display it to the user if it is classification.
It will also suggest to use ada and explain train/validation split benefits.
"""
ft_type = infer_task_type(df)
immediate_msg = None
if ft_type == "classification":
immediate_msg = f"\n- Based on your data it seems like you're trying to fine-tune a model for {ft_type}\n- For classification, we recommend you try one of the faster and cheaper models, such as `ada`\n- For classification, you can estimate the expected model performance by keeping a held out dataset, which is not used for training"
return Remediation(name="num_examples", immediate_msg=immediate_msg)
def get_validators():
return [
num_examples_validator,
lambda x: necessary_column_validator(x, "prompt"),
lambda x: necessary_column_validator(x, "completion"),
additional_column_validator,
non_empty_field_validator,
format_inferrer_validator,
duplicated_rows_validator,
long_examples_validator,
lambda x: lower_case_validator(x, "prompt"),
lambda x: lower_case_validator(x, "completion"),
common_prompt_suffix_validator,
common_prompt_prefix_validator,
common_completion_prefix_validator,
common_completion_suffix_validator,
completions_space_start_validator,
] | null |
1,441 | import os
import sys
from typing import Any, Callable, NamedTuple, Optional
from openai.datalib import pandas as pd, assert_has_pandas
def apply_necessary_remediation(df, remediation):
def apply_optional_remediation(df, remediation, auto_accept):
def apply_validators(
df,
fname,
remediation,
validators,
auto_accept,
write_out_file_func,
):
optional_remediations = []
if remediation is not None:
optional_remediations.append(remediation)
for validator in validators:
remediation = validator(df)
if remediation is not None:
optional_remediations.append(remediation)
df = apply_necessary_remediation(df, remediation)
any_optional_or_necessary_remediations = any(
[
remediation
for remediation in optional_remediations
if remediation.optional_msg is not None
or remediation.necessary_msg is not None
]
)
any_necessary_applied = any(
[
remediation
for remediation in optional_remediations
if remediation.necessary_msg is not None
]
)
any_optional_applied = False
if any_optional_or_necessary_remediations:
sys.stdout.write(
"\n\nBased on the analysis we will perform the following actions:\n"
)
for remediation in optional_remediations:
df, optional_applied = apply_optional_remediation(
df, remediation, auto_accept
)
any_optional_applied = any_optional_applied or optional_applied
else:
sys.stdout.write("\n\nNo remediations found.\n")
any_optional_or_necessary_applied = any_optional_applied or any_necessary_applied
write_out_file_func(df, fname, any_optional_or_necessary_applied, auto_accept) | null |
1,442 | HAS_NUMPY = bool(numpy)
NUMPY_INSTRUCTIONS = INSTRUCTIONS.format(library="numpy")
class MissingDependencyError(Exception):
pass
def assert_has_numpy():
if not HAS_NUMPY:
raise MissingDependencyError(NUMPY_INSTRUCTIONS) | null |
1,443 | import os
import sys
import time
from collections import OrderedDict
from datetime import timedelta
from ._internal_utils import to_native_string
from .adapters import HTTPAdapter
from .auth import _basic_auth_str
from .compat import Mapping, cookielib, urljoin, urlparse
from .cookies import (
RequestsCookieJar,
cookiejar_from_dict,
extract_cookies_to_jar,
merge_cookies,
)
from .exceptions import (
ChunkedEncodingError,
ContentDecodingError,
InvalidSchema,
TooManyRedirects,
)
from .hooks import default_hooks, dispatch_hook
from .models import ( # noqa: F401
DEFAULT_REDIRECT_LIMIT,
REDIRECT_STATI,
PreparedRequest,
Request,
)
from .status_codes import codes
from .structures import CaseInsensitiveDict
from .utils import ( # noqa: F401
DEFAULT_PORTS,
default_headers,
get_auth_from_url,
get_environ_proxies,
get_netrc_auth,
requote_uri,
resolve_proxies,
rewind_body,
should_bypass_proxies,
to_key_val_list,
)
def merge_setting(request_setting, session_setting, dict_class=OrderedDict):
"""Determines appropriate setting for a given request, taking into account
the explicit setting on that request, and the setting in the session. If a
setting is a dictionary, they will be merged together using `dict_class`
"""
if session_setting is None:
return request_setting
if request_setting is None:
return session_setting
# Bypass if not a dictionary (e.g. verify)
if not (
isinstance(session_setting, Mapping) and isinstance(request_setting, Mapping)
):
return request_setting
merged_setting = dict_class(to_key_val_list(session_setting))
merged_setting.update(to_key_val_list(request_setting))
# Remove keys that are set to None. Extract keys first to avoid altering
# the dictionary during iteration.
none_keys = [k for (k, v) in merged_setting.items() if v is None]
for key in none_keys:
del merged_setting[key]
return merged_setting
The provided code snippet includes necessary dependencies for implementing the `merge_hooks` function. Write a Python function `def merge_hooks(request_hooks, session_hooks, dict_class=OrderedDict)` to solve the following problem:
Properly merges both requests and session hooks. This is necessary because when request_hooks == {'response': []}, the merge breaks Session hooks entirely.
Here is the function:
def merge_hooks(request_hooks, session_hooks, dict_class=OrderedDict):
"""Properly merges both requests and session hooks.
This is necessary because when request_hooks == {'response': []}, the
merge breaks Session hooks entirely.
"""
if session_hooks is None or session_hooks.get("response") == []:
return request_hooks
if request_hooks is None or request_hooks.get("response") == []:
return session_hooks
return merge_setting(request_hooks, session_hooks, dict_class) | Properly merges both requests and session hooks. This is necessary because when request_hooks == {'response': []}, the merge breaks Session hooks entirely. |
1,444 | from . import sessions
def request(method, url, **kwargs):
"""Constructs and sends a :class:`Request <Request>`.
:param method: method for the new :class:`Request` object: ``GET``, ``OPTIONS``, ``HEAD``, ``POST``, ``PUT``, ``PATCH``, or ``DELETE``.
:param url: URL for the new :class:`Request` object.
:param params: (optional) Dictionary, list of tuples or bytes to send
in the query string for the :class:`Request`.
:param data: (optional) Dictionary, list of tuples, bytes, or file-like
object to send in the body of the :class:`Request`.
:param json: (optional) A JSON serializable Python object to send in the body of the :class:`Request`.
:param headers: (optional) Dictionary of HTTP Headers to send with the :class:`Request`.
:param cookies: (optional) Dict or CookieJar object to send with the :class:`Request`.
:param files: (optional) Dictionary of ``'name': file-like-objects`` (or ``{'name': file-tuple}``) for multipart encoding upload.
``file-tuple`` can be a 2-tuple ``('filename', fileobj)``, 3-tuple ``('filename', fileobj, 'content_type')``
or a 4-tuple ``('filename', fileobj, 'content_type', custom_headers)``, where ``'content-type'`` is a string
defining the content type of the given file and ``custom_headers`` a dict-like object containing additional headers
to add for the file.
:param auth: (optional) Auth tuple to enable Basic/Digest/Custom HTTP Auth.
:param timeout: (optional) How many seconds to wait for the server to send data
before giving up, as a float, or a :ref:`(connect timeout, read
timeout) <timeouts>` tuple.
:type timeout: float or tuple
:param allow_redirects: (optional) Boolean. Enable/disable GET/OPTIONS/POST/PUT/PATCH/DELETE/HEAD redirection. Defaults to ``True``.
:type allow_redirects: bool
:param proxies: (optional) Dictionary mapping protocol to the URL of the proxy.
:param verify: (optional) Either a boolean, in which case it controls whether we verify
the server's TLS certificate, or a string, in which case it must be a path
to a CA bundle to use. Defaults to ``True``.
:param stream: (optional) if ``False``, the response content will be immediately downloaded.
:param cert: (optional) if String, path to ssl client cert file (.pem). If Tuple, ('cert', 'key') pair.
:return: :class:`Response <Response>` object
:rtype: requests.Response
Usage::
>>> import requests
>>> req = requests.request('GET', 'https://httpbin.org/get')
>>> req
<Response [200]>
"""
# By using the 'with' statement we are sure the session is closed, thus we
# avoid leaving sockets open which can trigger a ResourceWarning in some
# cases, and look like a memory leak in others.
with sessions.Session() as session:
return session.request(method=method, url=url, **kwargs)
The provided code snippet includes necessary dependencies for implementing the `get` function. Write a Python function `def get(url, params=None, **kwargs)` to solve the following problem:
r"""Sends a GET request. :param url: URL for the new :class:`Request` object. :param params: (optional) Dictionary, list of tuples or bytes to send in the query string for the :class:`Request`. :param \*\*kwargs: Optional arguments that ``request`` takes. :return: :class:`Response <Response>` object :rtype: requests.Response
Here is the function:
def get(url, params=None, **kwargs):
r"""Sends a GET request.
:param url: URL for the new :class:`Request` object.
:param params: (optional) Dictionary, list of tuples or bytes to send
in the query string for the :class:`Request`.
:param \*\*kwargs: Optional arguments that ``request`` takes.
:return: :class:`Response <Response>` object
:rtype: requests.Response
"""
return request("get", url, params=params, **kwargs) | r"""Sends a GET request. :param url: URL for the new :class:`Request` object. :param params: (optional) Dictionary, list of tuples or bytes to send in the query string for the :class:`Request`. :param \*\*kwargs: Optional arguments that ``request`` takes. :return: :class:`Response <Response>` object :rtype: requests.Response |
1,445 | from . import sessions
def request(method, url, **kwargs):
"""Constructs and sends a :class:`Request <Request>`.
:param method: method for the new :class:`Request` object: ``GET``, ``OPTIONS``, ``HEAD``, ``POST``, ``PUT``, ``PATCH``, or ``DELETE``.
:param url: URL for the new :class:`Request` object.
:param params: (optional) Dictionary, list of tuples or bytes to send
in the query string for the :class:`Request`.
:param data: (optional) Dictionary, list of tuples, bytes, or file-like
object to send in the body of the :class:`Request`.
:param json: (optional) A JSON serializable Python object to send in the body of the :class:`Request`.
:param headers: (optional) Dictionary of HTTP Headers to send with the :class:`Request`.
:param cookies: (optional) Dict or CookieJar object to send with the :class:`Request`.
:param files: (optional) Dictionary of ``'name': file-like-objects`` (or ``{'name': file-tuple}``) for multipart encoding upload.
``file-tuple`` can be a 2-tuple ``('filename', fileobj)``, 3-tuple ``('filename', fileobj, 'content_type')``
or a 4-tuple ``('filename', fileobj, 'content_type', custom_headers)``, where ``'content-type'`` is a string
defining the content type of the given file and ``custom_headers`` a dict-like object containing additional headers
to add for the file.
:param auth: (optional) Auth tuple to enable Basic/Digest/Custom HTTP Auth.
:param timeout: (optional) How many seconds to wait for the server to send data
before giving up, as a float, or a :ref:`(connect timeout, read
timeout) <timeouts>` tuple.
:type timeout: float or tuple
:param allow_redirects: (optional) Boolean. Enable/disable GET/OPTIONS/POST/PUT/PATCH/DELETE/HEAD redirection. Defaults to ``True``.
:type allow_redirects: bool
:param proxies: (optional) Dictionary mapping protocol to the URL of the proxy.
:param verify: (optional) Either a boolean, in which case it controls whether we verify
the server's TLS certificate, or a string, in which case it must be a path
to a CA bundle to use. Defaults to ``True``.
:param stream: (optional) if ``False``, the response content will be immediately downloaded.
:param cert: (optional) if String, path to ssl client cert file (.pem). If Tuple, ('cert', 'key') pair.
:return: :class:`Response <Response>` object
:rtype: requests.Response
Usage::
>>> import requests
>>> req = requests.request('GET', 'https://httpbin.org/get')
>>> req
<Response [200]>
"""
# By using the 'with' statement we are sure the session is closed, thus we
# avoid leaving sockets open which can trigger a ResourceWarning in some
# cases, and look like a memory leak in others.
with sessions.Session() as session:
return session.request(method=method, url=url, **kwargs)
The provided code snippet includes necessary dependencies for implementing the `options` function. Write a Python function `def options(url, **kwargs)` to solve the following problem:
r"""Sends an OPTIONS request. :param url: URL for the new :class:`Request` object. :param \*\*kwargs: Optional arguments that ``request`` takes. :return: :class:`Response <Response>` object :rtype: requests.Response
Here is the function:
def options(url, **kwargs):
r"""Sends an OPTIONS request.
:param url: URL for the new :class:`Request` object.
:param \*\*kwargs: Optional arguments that ``request`` takes.
:return: :class:`Response <Response>` object
:rtype: requests.Response
"""
return request("options", url, **kwargs) | r"""Sends an OPTIONS request. :param url: URL for the new :class:`Request` object. :param \*\*kwargs: Optional arguments that ``request`` takes. :return: :class:`Response <Response>` object :rtype: requests.Response |
1,446 | from . import sessions
def request(method, url, **kwargs):
"""Constructs and sends a :class:`Request <Request>`.
:param method: method for the new :class:`Request` object: ``GET``, ``OPTIONS``, ``HEAD``, ``POST``, ``PUT``, ``PATCH``, or ``DELETE``.
:param url: URL for the new :class:`Request` object.
:param params: (optional) Dictionary, list of tuples or bytes to send
in the query string for the :class:`Request`.
:param data: (optional) Dictionary, list of tuples, bytes, or file-like
object to send in the body of the :class:`Request`.
:param json: (optional) A JSON serializable Python object to send in the body of the :class:`Request`.
:param headers: (optional) Dictionary of HTTP Headers to send with the :class:`Request`.
:param cookies: (optional) Dict or CookieJar object to send with the :class:`Request`.
:param files: (optional) Dictionary of ``'name': file-like-objects`` (or ``{'name': file-tuple}``) for multipart encoding upload.
``file-tuple`` can be a 2-tuple ``('filename', fileobj)``, 3-tuple ``('filename', fileobj, 'content_type')``
or a 4-tuple ``('filename', fileobj, 'content_type', custom_headers)``, where ``'content-type'`` is a string
defining the content type of the given file and ``custom_headers`` a dict-like object containing additional headers
to add for the file.
:param auth: (optional) Auth tuple to enable Basic/Digest/Custom HTTP Auth.
:param timeout: (optional) How many seconds to wait for the server to send data
before giving up, as a float, or a :ref:`(connect timeout, read
timeout) <timeouts>` tuple.
:type timeout: float or tuple
:param allow_redirects: (optional) Boolean. Enable/disable GET/OPTIONS/POST/PUT/PATCH/DELETE/HEAD redirection. Defaults to ``True``.
:type allow_redirects: bool
:param proxies: (optional) Dictionary mapping protocol to the URL of the proxy.
:param verify: (optional) Either a boolean, in which case it controls whether we verify
the server's TLS certificate, or a string, in which case it must be a path
to a CA bundle to use. Defaults to ``True``.
:param stream: (optional) if ``False``, the response content will be immediately downloaded.
:param cert: (optional) if String, path to ssl client cert file (.pem). If Tuple, ('cert', 'key') pair.
:return: :class:`Response <Response>` object
:rtype: requests.Response
Usage::
>>> import requests
>>> req = requests.request('GET', 'https://httpbin.org/get')
>>> req
<Response [200]>
"""
# By using the 'with' statement we are sure the session is closed, thus we
# avoid leaving sockets open which can trigger a ResourceWarning in some
# cases, and look like a memory leak in others.
with sessions.Session() as session:
return session.request(method=method, url=url, **kwargs)
The provided code snippet includes necessary dependencies for implementing the `head` function. Write a Python function `def head(url, **kwargs)` to solve the following problem:
r"""Sends a HEAD request. :param url: URL for the new :class:`Request` object. :param \*\*kwargs: Optional arguments that ``request`` takes. If `allow_redirects` is not provided, it will be set to `False` (as opposed to the default :meth:`request` behavior). :return: :class:`Response <Response>` object :rtype: requests.Response
Here is the function:
def head(url, **kwargs):
r"""Sends a HEAD request.
:param url: URL for the new :class:`Request` object.
:param \*\*kwargs: Optional arguments that ``request`` takes. If
`allow_redirects` is not provided, it will be set to `False` (as
opposed to the default :meth:`request` behavior).
:return: :class:`Response <Response>` object
:rtype: requests.Response
"""
kwargs.setdefault("allow_redirects", False)
return request("head", url, **kwargs) | r"""Sends a HEAD request. :param url: URL for the new :class:`Request` object. :param \*\*kwargs: Optional arguments that ``request`` takes. If `allow_redirects` is not provided, it will be set to `False` (as opposed to the default :meth:`request` behavior). :return: :class:`Response <Response>` object :rtype: requests.Response |
1,447 | from . import sessions
def request(method, url, **kwargs):
"""Constructs and sends a :class:`Request <Request>`.
:param method: method for the new :class:`Request` object: ``GET``, ``OPTIONS``, ``HEAD``, ``POST``, ``PUT``, ``PATCH``, or ``DELETE``.
:param url: URL for the new :class:`Request` object.
:param params: (optional) Dictionary, list of tuples or bytes to send
in the query string for the :class:`Request`.
:param data: (optional) Dictionary, list of tuples, bytes, or file-like
object to send in the body of the :class:`Request`.
:param json: (optional) A JSON serializable Python object to send in the body of the :class:`Request`.
:param headers: (optional) Dictionary of HTTP Headers to send with the :class:`Request`.
:param cookies: (optional) Dict or CookieJar object to send with the :class:`Request`.
:param files: (optional) Dictionary of ``'name': file-like-objects`` (or ``{'name': file-tuple}``) for multipart encoding upload.
``file-tuple`` can be a 2-tuple ``('filename', fileobj)``, 3-tuple ``('filename', fileobj, 'content_type')``
or a 4-tuple ``('filename', fileobj, 'content_type', custom_headers)``, where ``'content-type'`` is a string
defining the content type of the given file and ``custom_headers`` a dict-like object containing additional headers
to add for the file.
:param auth: (optional) Auth tuple to enable Basic/Digest/Custom HTTP Auth.
:param timeout: (optional) How many seconds to wait for the server to send data
before giving up, as a float, or a :ref:`(connect timeout, read
timeout) <timeouts>` tuple.
:type timeout: float or tuple
:param allow_redirects: (optional) Boolean. Enable/disable GET/OPTIONS/POST/PUT/PATCH/DELETE/HEAD redirection. Defaults to ``True``.
:type allow_redirects: bool
:param proxies: (optional) Dictionary mapping protocol to the URL of the proxy.
:param verify: (optional) Either a boolean, in which case it controls whether we verify
the server's TLS certificate, or a string, in which case it must be a path
to a CA bundle to use. Defaults to ``True``.
:param stream: (optional) if ``False``, the response content will be immediately downloaded.
:param cert: (optional) if String, path to ssl client cert file (.pem). If Tuple, ('cert', 'key') pair.
:return: :class:`Response <Response>` object
:rtype: requests.Response
Usage::
>>> import requests
>>> req = requests.request('GET', 'https://httpbin.org/get')
>>> req
<Response [200]>
"""
# By using the 'with' statement we are sure the session is closed, thus we
# avoid leaving sockets open which can trigger a ResourceWarning in some
# cases, and look like a memory leak in others.
with sessions.Session() as session:
return session.request(method=method, url=url, **kwargs)
The provided code snippet includes necessary dependencies for implementing the `post` function. Write a Python function `def post(url, data=None, json=None, **kwargs)` to solve the following problem:
r"""Sends a POST request. :param url: URL for the new :class:`Request` object. :param data: (optional) Dictionary, list of tuples, bytes, or file-like object to send in the body of the :class:`Request`. :param json: (optional) json data to send in the body of the :class:`Request`. :param \*\*kwargs: Optional arguments that ``request`` takes. :return: :class:`Response <Response>` object :rtype: requests.Response
Here is the function:
def post(url, data=None, json=None, **kwargs):
r"""Sends a POST request.
:param url: URL for the new :class:`Request` object.
:param data: (optional) Dictionary, list of tuples, bytes, or file-like
object to send in the body of the :class:`Request`.
:param json: (optional) json data to send in the body of the :class:`Request`.
:param \*\*kwargs: Optional arguments that ``request`` takes.
:return: :class:`Response <Response>` object
:rtype: requests.Response
"""
return request("post", url, data=data, json=json, **kwargs) | r"""Sends a POST request. :param url: URL for the new :class:`Request` object. :param data: (optional) Dictionary, list of tuples, bytes, or file-like object to send in the body of the :class:`Request`. :param json: (optional) json data to send in the body of the :class:`Request`. :param \*\*kwargs: Optional arguments that ``request`` takes. :return: :class:`Response <Response>` object :rtype: requests.Response |
1,448 | from . import sessions
def request(method, url, **kwargs):
"""Constructs and sends a :class:`Request <Request>`.
:param method: method for the new :class:`Request` object: ``GET``, ``OPTIONS``, ``HEAD``, ``POST``, ``PUT``, ``PATCH``, or ``DELETE``.
:param url: URL for the new :class:`Request` object.
:param params: (optional) Dictionary, list of tuples or bytes to send
in the query string for the :class:`Request`.
:param data: (optional) Dictionary, list of tuples, bytes, or file-like
object to send in the body of the :class:`Request`.
:param json: (optional) A JSON serializable Python object to send in the body of the :class:`Request`.
:param headers: (optional) Dictionary of HTTP Headers to send with the :class:`Request`.
:param cookies: (optional) Dict or CookieJar object to send with the :class:`Request`.
:param files: (optional) Dictionary of ``'name': file-like-objects`` (or ``{'name': file-tuple}``) for multipart encoding upload.
``file-tuple`` can be a 2-tuple ``('filename', fileobj)``, 3-tuple ``('filename', fileobj, 'content_type')``
or a 4-tuple ``('filename', fileobj, 'content_type', custom_headers)``, where ``'content-type'`` is a string
defining the content type of the given file and ``custom_headers`` a dict-like object containing additional headers
to add for the file.
:param auth: (optional) Auth tuple to enable Basic/Digest/Custom HTTP Auth.
:param timeout: (optional) How many seconds to wait for the server to send data
before giving up, as a float, or a :ref:`(connect timeout, read
timeout) <timeouts>` tuple.
:type timeout: float or tuple
:param allow_redirects: (optional) Boolean. Enable/disable GET/OPTIONS/POST/PUT/PATCH/DELETE/HEAD redirection. Defaults to ``True``.
:type allow_redirects: bool
:param proxies: (optional) Dictionary mapping protocol to the URL of the proxy.
:param verify: (optional) Either a boolean, in which case it controls whether we verify
the server's TLS certificate, or a string, in which case it must be a path
to a CA bundle to use. Defaults to ``True``.
:param stream: (optional) if ``False``, the response content will be immediately downloaded.
:param cert: (optional) if String, path to ssl client cert file (.pem). If Tuple, ('cert', 'key') pair.
:return: :class:`Response <Response>` object
:rtype: requests.Response
Usage::
>>> import requests
>>> req = requests.request('GET', 'https://httpbin.org/get')
>>> req
<Response [200]>
"""
# By using the 'with' statement we are sure the session is closed, thus we
# avoid leaving sockets open which can trigger a ResourceWarning in some
# cases, and look like a memory leak in others.
with sessions.Session() as session:
return session.request(method=method, url=url, **kwargs)
The provided code snippet includes necessary dependencies for implementing the `put` function. Write a Python function `def put(url, data=None, **kwargs)` to solve the following problem:
r"""Sends a PUT request. :param url: URL for the new :class:`Request` object. :param data: (optional) Dictionary, list of tuples, bytes, or file-like object to send in the body of the :class:`Request`. :param json: (optional) json data to send in the body of the :class:`Request`. :param \*\*kwargs: Optional arguments that ``request`` takes. :return: :class:`Response <Response>` object :rtype: requests.Response
Here is the function:
def put(url, data=None, **kwargs):
r"""Sends a PUT request.
:param url: URL for the new :class:`Request` object.
:param data: (optional) Dictionary, list of tuples, bytes, or file-like
object to send in the body of the :class:`Request`.
:param json: (optional) json data to send in the body of the :class:`Request`.
:param \*\*kwargs: Optional arguments that ``request`` takes.
:return: :class:`Response <Response>` object
:rtype: requests.Response
"""
return request("put", url, data=data, **kwargs) | r"""Sends a PUT request. :param url: URL for the new :class:`Request` object. :param data: (optional) Dictionary, list of tuples, bytes, or file-like object to send in the body of the :class:`Request`. :param json: (optional) json data to send in the body of the :class:`Request`. :param \*\*kwargs: Optional arguments that ``request`` takes. :return: :class:`Response <Response>` object :rtype: requests.Response |
1,449 | from . import sessions
def request(method, url, **kwargs):
"""Constructs and sends a :class:`Request <Request>`.
:param method: method for the new :class:`Request` object: ``GET``, ``OPTIONS``, ``HEAD``, ``POST``, ``PUT``, ``PATCH``, or ``DELETE``.
:param url: URL for the new :class:`Request` object.
:param params: (optional) Dictionary, list of tuples or bytes to send
in the query string for the :class:`Request`.
:param data: (optional) Dictionary, list of tuples, bytes, or file-like
object to send in the body of the :class:`Request`.
:param json: (optional) A JSON serializable Python object to send in the body of the :class:`Request`.
:param headers: (optional) Dictionary of HTTP Headers to send with the :class:`Request`.
:param cookies: (optional) Dict or CookieJar object to send with the :class:`Request`.
:param files: (optional) Dictionary of ``'name': file-like-objects`` (or ``{'name': file-tuple}``) for multipart encoding upload.
``file-tuple`` can be a 2-tuple ``('filename', fileobj)``, 3-tuple ``('filename', fileobj, 'content_type')``
or a 4-tuple ``('filename', fileobj, 'content_type', custom_headers)``, where ``'content-type'`` is a string
defining the content type of the given file and ``custom_headers`` a dict-like object containing additional headers
to add for the file.
:param auth: (optional) Auth tuple to enable Basic/Digest/Custom HTTP Auth.
:param timeout: (optional) How many seconds to wait for the server to send data
before giving up, as a float, or a :ref:`(connect timeout, read
timeout) <timeouts>` tuple.
:type timeout: float or tuple
:param allow_redirects: (optional) Boolean. Enable/disable GET/OPTIONS/POST/PUT/PATCH/DELETE/HEAD redirection. Defaults to ``True``.
:type allow_redirects: bool
:param proxies: (optional) Dictionary mapping protocol to the URL of the proxy.
:param verify: (optional) Either a boolean, in which case it controls whether we verify
the server's TLS certificate, or a string, in which case it must be a path
to a CA bundle to use. Defaults to ``True``.
:param stream: (optional) if ``False``, the response content will be immediately downloaded.
:param cert: (optional) if String, path to ssl client cert file (.pem). If Tuple, ('cert', 'key') pair.
:return: :class:`Response <Response>` object
:rtype: requests.Response
Usage::
>>> import requests
>>> req = requests.request('GET', 'https://httpbin.org/get')
>>> req
<Response [200]>
"""
# By using the 'with' statement we are sure the session is closed, thus we
# avoid leaving sockets open which can trigger a ResourceWarning in some
# cases, and look like a memory leak in others.
with sessions.Session() as session:
return session.request(method=method, url=url, **kwargs)
The provided code snippet includes necessary dependencies for implementing the `patch` function. Write a Python function `def patch(url, data=None, **kwargs)` to solve the following problem:
r"""Sends a PATCH request. :param url: URL for the new :class:`Request` object. :param data: (optional) Dictionary, list of tuples, bytes, or file-like object to send in the body of the :class:`Request`. :param json: (optional) json data to send in the body of the :class:`Request`. :param \*\*kwargs: Optional arguments that ``request`` takes. :return: :class:`Response <Response>` object :rtype: requests.Response
Here is the function:
def patch(url, data=None, **kwargs):
r"""Sends a PATCH request.
:param url: URL for the new :class:`Request` object.
:param data: (optional) Dictionary, list of tuples, bytes, or file-like
object to send in the body of the :class:`Request`.
:param json: (optional) json data to send in the body of the :class:`Request`.
:param \*\*kwargs: Optional arguments that ``request`` takes.
:return: :class:`Response <Response>` object
:rtype: requests.Response
"""
return request("patch", url, data=data, **kwargs) | r"""Sends a PATCH request. :param url: URL for the new :class:`Request` object. :param data: (optional) Dictionary, list of tuples, bytes, or file-like object to send in the body of the :class:`Request`. :param json: (optional) json data to send in the body of the :class:`Request`. :param \*\*kwargs: Optional arguments that ``request`` takes. :return: :class:`Response <Response>` object :rtype: requests.Response |
1,450 | from . import sessions
def request(method, url, **kwargs):
"""Constructs and sends a :class:`Request <Request>`.
:param method: method for the new :class:`Request` object: ``GET``, ``OPTIONS``, ``HEAD``, ``POST``, ``PUT``, ``PATCH``, or ``DELETE``.
:param url: URL for the new :class:`Request` object.
:param params: (optional) Dictionary, list of tuples or bytes to send
in the query string for the :class:`Request`.
:param data: (optional) Dictionary, list of tuples, bytes, or file-like
object to send in the body of the :class:`Request`.
:param json: (optional) A JSON serializable Python object to send in the body of the :class:`Request`.
:param headers: (optional) Dictionary of HTTP Headers to send with the :class:`Request`.
:param cookies: (optional) Dict or CookieJar object to send with the :class:`Request`.
:param files: (optional) Dictionary of ``'name': file-like-objects`` (or ``{'name': file-tuple}``) for multipart encoding upload.
``file-tuple`` can be a 2-tuple ``('filename', fileobj)``, 3-tuple ``('filename', fileobj, 'content_type')``
or a 4-tuple ``('filename', fileobj, 'content_type', custom_headers)``, where ``'content-type'`` is a string
defining the content type of the given file and ``custom_headers`` a dict-like object containing additional headers
to add for the file.
:param auth: (optional) Auth tuple to enable Basic/Digest/Custom HTTP Auth.
:param timeout: (optional) How many seconds to wait for the server to send data
before giving up, as a float, or a :ref:`(connect timeout, read
timeout) <timeouts>` tuple.
:type timeout: float or tuple
:param allow_redirects: (optional) Boolean. Enable/disable GET/OPTIONS/POST/PUT/PATCH/DELETE/HEAD redirection. Defaults to ``True``.
:type allow_redirects: bool
:param proxies: (optional) Dictionary mapping protocol to the URL of the proxy.
:param verify: (optional) Either a boolean, in which case it controls whether we verify
the server's TLS certificate, or a string, in which case it must be a path
to a CA bundle to use. Defaults to ``True``.
:param stream: (optional) if ``False``, the response content will be immediately downloaded.
:param cert: (optional) if String, path to ssl client cert file (.pem). If Tuple, ('cert', 'key') pair.
:return: :class:`Response <Response>` object
:rtype: requests.Response
Usage::
>>> import requests
>>> req = requests.request('GET', 'https://httpbin.org/get')
>>> req
<Response [200]>
"""
# By using the 'with' statement we are sure the session is closed, thus we
# avoid leaving sockets open which can trigger a ResourceWarning in some
# cases, and look like a memory leak in others.
with sessions.Session() as session:
return session.request(method=method, url=url, **kwargs)
The provided code snippet includes necessary dependencies for implementing the `delete` function. Write a Python function `def delete(url, **kwargs)` to solve the following problem:
r"""Sends a DELETE request. :param url: URL for the new :class:`Request` object. :param \*\*kwargs: Optional arguments that ``request`` takes. :return: :class:`Response <Response>` object :rtype: requests.Response
Here is the function:
def delete(url, **kwargs):
r"""Sends a DELETE request.
:param url: URL for the new :class:`Request` object.
:param \*\*kwargs: Optional arguments that ``request`` takes.
:return: :class:`Response <Response>` object
:rtype: requests.Response
"""
return request("delete", url, **kwargs) | r"""Sends a DELETE request. :param url: URL for the new :class:`Request` object. :param \*\*kwargs: Optional arguments that ``request`` takes. :return: :class:`Response <Response>` object :rtype: requests.Response |
1,451 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
The provided code snippet includes necessary dependencies for implementing the `dict_to_sequence` function. Write a Python function `def dict_to_sequence(d)` to solve the following problem:
Returns an internal sequence dictionary update.
Here is the function:
def dict_to_sequence(d):
"""Returns an internal sequence dictionary update."""
if hasattr(d, "items"):
d = d.items()
return d | Returns an internal sequence dictionary update. |
1,452 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
import warnings
warnings.simplefilter("ignore", DependencyWarning)
warnings.simplefilter("default", FileModeWarning, append=True)
class FileModeWarning(RequestsWarning, DeprecationWarning):
"""A file was opened in text mode, but Requests determined its binary length."""
def super_len(o):
total_length = None
current_position = 0
if hasattr(o, "__len__"):
total_length = len(o)
elif hasattr(o, "len"):
total_length = o.len
elif hasattr(o, "fileno"):
try:
fileno = o.fileno()
except (io.UnsupportedOperation, AttributeError):
# AttributeError is a surprising exception, seeing as how we've just checked
# that `hasattr(o, 'fileno')`. It happens for objects obtained via
# `Tarfile.extractfile()`, per issue 5229.
pass
else:
total_length = os.fstat(fileno).st_size
# Having used fstat to determine the file length, we need to
# confirm that this file was opened up in binary mode.
if "b" not in o.mode:
warnings.warn(
(
"Requests has determined the content-length for this "
"request using the binary size of the file: however, the "
"file has been opened in text mode (i.e. without the 'b' "
"flag in the mode). This may lead to an incorrect "
"content-length. In Requests 3.0, support will be removed "
"for files in text mode."
),
FileModeWarning,
)
if hasattr(o, "tell"):
try:
current_position = o.tell()
except OSError:
# This can happen in some weird situations, such as when the file
# is actually a special file descriptor like stdin. In this
# instance, we don't know what the length is, so set it to zero and
# let requests chunk it instead.
if total_length is not None:
current_position = total_length
else:
if hasattr(o, "seek") and total_length is None:
# StringIO and BytesIO have seek but no usable fileno
try:
# seek to end of file
o.seek(0, 2)
total_length = o.tell()
# seek back to current position to support
# partially read file-like objects
o.seek(current_position or 0)
except OSError:
total_length = 0
if total_length is None:
total_length = 0
return max(0, total_length - current_position) | null |
1,453 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
NETRC_FILES = (".netrc", "_netrc")
str = str
The provided code snippet includes necessary dependencies for implementing the `get_netrc_auth` function. Write a Python function `def get_netrc_auth(url, raise_errors=False)` to solve the following problem:
Returns the Requests tuple auth for a given url from netrc.
Here is the function:
def get_netrc_auth(url, raise_errors=False):
"""Returns the Requests tuple auth for a given url from netrc."""
netrc_file = os.environ.get("NETRC")
if netrc_file is not None:
netrc_locations = (netrc_file,)
else:
netrc_locations = (f"~/{f}" for f in NETRC_FILES)
try:
from netrc import NetrcParseError, netrc
netrc_path = None
for f in netrc_locations:
try:
loc = os.path.expanduser(f)
except KeyError:
# os.path.expanduser can fail when $HOME is undefined and
# getpwuid fails. See https://bugs.python.org/issue20164 &
# https://github.com/psf/requests/issues/1846
return
if os.path.exists(loc):
netrc_path = loc
break
# Abort early if there isn't one.
if netrc_path is None:
return
ri = urlparse(url)
# Strip port numbers from netloc. This weird `if...encode`` dance is
# used for Python 3.2, which doesn't support unicode literals.
splitstr = b":"
if isinstance(url, str):
splitstr = splitstr.decode("ascii")
host = ri.netloc.split(splitstr)[0]
try:
_netrc = netrc(netrc_path).authenticators(host)
if _netrc:
# Return with login / password
login_i = 0 if _netrc[0] else 1
return (_netrc[login_i], _netrc[2])
except (NetrcParseError, OSError):
# If there was a parsing error or a permissions issue reading the file,
# we'll just skip netrc auth unless explicitly asked to raise errors.
if raise_errors:
raise
# App Engine hackiness.
except (ImportError, AttributeError):
pass | Returns the Requests tuple auth for a given url from netrc. |
1,454 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
basestring = (str, bytes)
The provided code snippet includes necessary dependencies for implementing the `guess_filename` function. Write a Python function `def guess_filename(obj)` to solve the following problem:
Tries to guess the filename of the given object.
Here is the function:
def guess_filename(obj):
"""Tries to guess the filename of the given object."""
name = getattr(obj, "name", None)
if name and isinstance(name, basestring) and name[0] != "<" and name[-1] != ">":
return os.path.basename(name) | Tries to guess the filename of the given object. |
1,455 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
def atomic_open(filename):
"""Write a file to the disk in an atomic fashion"""
tmp_descriptor, tmp_name = tempfile.mkstemp(dir=os.path.dirname(filename))
try:
with os.fdopen(tmp_descriptor, "wb") as tmp_handler:
yield tmp_handler
os.replace(tmp_name, filename)
except BaseException:
os.remove(tmp_name)
raise
The provided code snippet includes necessary dependencies for implementing the `extract_zipped_paths` function. Write a Python function `def extract_zipped_paths(path)` to solve the following problem:
Replace nonexistent paths that look like they refer to a member of a zip archive with the location of an extracted copy of the target, or else just return the provided path unchanged.
Here is the function:
def extract_zipped_paths(path):
"""Replace nonexistent paths that look like they refer to a member of a zip
archive with the location of an extracted copy of the target, or else
just return the provided path unchanged.
"""
if os.path.exists(path):
# this is already a valid path, no need to do anything further
return path
# find the first valid part of the provided path and treat that as a zip archive
# assume the rest of the path is the name of a member in the archive
archive, member = os.path.split(path)
while archive and not os.path.exists(archive):
archive, prefix = os.path.split(archive)
if not prefix:
# If we don't check for an empty prefix after the split (in other words, archive remains unchanged after the split),
# we _can_ end up in an infinite loop on a rare corner case affecting a small number of users
break
member = "/".join([prefix, member])
if not zipfile.is_zipfile(archive):
return path
zip_file = zipfile.ZipFile(archive)
if member not in zip_file.namelist():
return path
# we have a valid zip archive and a valid member of that archive
tmp = tempfile.gettempdir()
extracted_path = os.path.join(tmp, member.split("/")[-1])
if not os.path.exists(extracted_path):
# use read + write to avoid the creating nested folders, we only want the file, avoids mkdir racing condition
with atomic_open(extracted_path) as file_handler:
file_handler.write(zip_file.read(member))
return extracted_path | Replace nonexistent paths that look like they refer to a member of a zip archive with the location of an extracted copy of the target, or else just return the provided path unchanged. |
1,456 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
str = str
bytes = bytes
The provided code snippet includes necessary dependencies for implementing the `from_key_val_list` function. Write a Python function `def from_key_val_list(value)` to solve the following problem:
Take an object and test to see if it can be represented as a dictionary. Unless it can not be represented as such, return an OrderedDict, e.g., :: >>> from_key_val_list([('key', 'val')]) OrderedDict([('key', 'val')]) >>> from_key_val_list('string') Traceback (most recent call last): ... ValueError: cannot encode objects that are not 2-tuples >>> from_key_val_list({'key': 'val'}) OrderedDict([('key', 'val')]) :rtype: OrderedDict
Here is the function:
def from_key_val_list(value):
"""Take an object and test to see if it can be represented as a
dictionary. Unless it can not be represented as such, return an
OrderedDict, e.g.,
::
>>> from_key_val_list([('key', 'val')])
OrderedDict([('key', 'val')])
>>> from_key_val_list('string')
Traceback (most recent call last):
...
ValueError: cannot encode objects that are not 2-tuples
>>> from_key_val_list({'key': 'val'})
OrderedDict([('key', 'val')])
:rtype: OrderedDict
"""
if value is None:
return None
if isinstance(value, (str, bytes, bool, int)):
raise ValueError("cannot encode objects that are not 2-tuples")
return OrderedDict(value) | Take an object and test to see if it can be represented as a dictionary. Unless it can not be represented as such, return an OrderedDict, e.g., :: >>> from_key_val_list([('key', 'val')]) OrderedDict([('key', 'val')]) >>> from_key_val_list('string') Traceback (most recent call last): ... ValueError: cannot encode objects that are not 2-tuples >>> from_key_val_list({'key': 'val'}) OrderedDict([('key', 'val')]) :rtype: OrderedDict |
1,457 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
def unquote_header_value(value, is_filename=False):
r"""Unquotes a header value. (Reversal of :func:`quote_header_value`).
This does not use the real unquoting but what browsers are actually
using for quoting.
:param value: the header value to unquote.
:rtype: str
"""
if value and value[0] == value[-1] == '"':
# this is not the real unquoting, but fixing this so that the
# RFC is met will result in bugs with internet explorer and
# probably some other browsers as well. IE for example is
# uploading files with "C:\foo\bar.txt" as filename
value = value[1:-1]
# if this is a filename and the starting characters look like
# a UNC path, then just return the value without quotes. Using the
# replace sequence below on a UNC path has the effect of turning
# the leading double slash into a single slash and then
# _fix_ie_filename() doesn't work correctly. See #458.
if not is_filename or value[:2] != "\\\\":
return value.replace("\\\\", "\\").replace('\\"', '"')
return value
The provided code snippet includes necessary dependencies for implementing the `parse_list_header` function. Write a Python function `def parse_list_header(value)` to solve the following problem:
Parse lists as described by RFC 2068 Section 2. In particular, parse comma-separated lists where the elements of the list may include quoted-strings. A quoted-string could contain a comma. A non-quoted string could have quotes in the middle. Quotes are removed automatically after parsing. It basically works like :func:`parse_set_header` just that items may appear multiple times and case sensitivity is preserved. The return value is a standard :class:`list`: >>> parse_list_header('token, "quoted value"') ['token', 'quoted value'] To create a header from the :class:`list` again, use the :func:`dump_header` function. :param value: a string with a list header. :return: :class:`list` :rtype: list
Here is the function:
def parse_list_header(value):
"""Parse lists as described by RFC 2068 Section 2.
In particular, parse comma-separated lists where the elements of
the list may include quoted-strings. A quoted-string could
contain a comma. A non-quoted string could have quotes in the
middle. Quotes are removed automatically after parsing.
It basically works like :func:`parse_set_header` just that items
may appear multiple times and case sensitivity is preserved.
The return value is a standard :class:`list`:
>>> parse_list_header('token, "quoted value"')
['token', 'quoted value']
To create a header from the :class:`list` again, use the
:func:`dump_header` function.
:param value: a string with a list header.
:return: :class:`list`
:rtype: list
"""
result = []
for item in _parse_list_header(value):
if item[:1] == item[-1:] == '"':
item = unquote_header_value(item[1:-1])
result.append(item)
return result | Parse lists as described by RFC 2068 Section 2. In particular, parse comma-separated lists where the elements of the list may include quoted-strings. A quoted-string could contain a comma. A non-quoted string could have quotes in the middle. Quotes are removed automatically after parsing. It basically works like :func:`parse_set_header` just that items may appear multiple times and case sensitivity is preserved. The return value is a standard :class:`list`: >>> parse_list_header('token, "quoted value"') ['token', 'quoted value'] To create a header from the :class:`list` again, use the :func:`dump_header` function. :param value: a string with a list header. :return: :class:`list` :rtype: list |
1,458 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
def unquote_header_value(value, is_filename=False):
r"""Unquotes a header value. (Reversal of :func:`quote_header_value`).
This does not use the real unquoting but what browsers are actually
using for quoting.
:param value: the header value to unquote.
:rtype: str
"""
if value and value[0] == value[-1] == '"':
# this is not the real unquoting, but fixing this so that the
# RFC is met will result in bugs with internet explorer and
# probably some other browsers as well. IE for example is
# uploading files with "C:\foo\bar.txt" as filename
value = value[1:-1]
# if this is a filename and the starting characters look like
# a UNC path, then just return the value without quotes. Using the
# replace sequence below on a UNC path has the effect of turning
# the leading double slash into a single slash and then
# _fix_ie_filename() doesn't work correctly. See #458.
if not is_filename or value[:2] != "\\\\":
return value.replace("\\\\", "\\").replace('\\"', '"')
return value
The provided code snippet includes necessary dependencies for implementing the `parse_dict_header` function. Write a Python function `def parse_dict_header(value)` to solve the following problem:
Parse lists of key, value pairs as described by RFC 2068 Section 2 and convert them into a python dict: >>> d = parse_dict_header('foo="is a fish", bar="as well"') >>> type(d) is dict True >>> sorted(d.items()) [('bar', 'as well'), ('foo', 'is a fish')] If there is no value for a key it will be `None`: >>> parse_dict_header('key_without_value') {'key_without_value': None} To create a header from the :class:`dict` again, use the :func:`dump_header` function. :param value: a string with a dict header. :return: :class:`dict` :rtype: dict
Here is the function:
def parse_dict_header(value):
"""Parse lists of key, value pairs as described by RFC 2068 Section 2 and
convert them into a python dict:
>>> d = parse_dict_header('foo="is a fish", bar="as well"')
>>> type(d) is dict
True
>>> sorted(d.items())
[('bar', 'as well'), ('foo', 'is a fish')]
If there is no value for a key it will be `None`:
>>> parse_dict_header('key_without_value')
{'key_without_value': None}
To create a header from the :class:`dict` again, use the
:func:`dump_header` function.
:param value: a string with a dict header.
:return: :class:`dict`
:rtype: dict
"""
result = {}
for item in _parse_list_header(value):
if "=" not in item:
result[item] = None
continue
name, value = item.split("=", 1)
if value[:1] == value[-1:] == '"':
value = unquote_header_value(value[1:-1])
result[name] = value
return result | Parse lists of key, value pairs as described by RFC 2068 Section 2 and convert them into a python dict: >>> d = parse_dict_header('foo="is a fish", bar="as well"') >>> type(d) is dict True >>> sorted(d.items()) [('bar', 'as well'), ('foo', 'is a fish')] If there is no value for a key it will be `None`: >>> parse_dict_header('key_without_value') {'key_without_value': None} To create a header from the :class:`dict` again, use the :func:`dump_header` function. :param value: a string with a dict header. :return: :class:`dict` :rtype: dict |
1,459 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
The provided code snippet includes necessary dependencies for implementing the `dict_from_cookiejar` function. Write a Python function `def dict_from_cookiejar(cj)` to solve the following problem:
Returns a key/value dictionary from a CookieJar. :param cj: CookieJar object to extract cookies from. :rtype: dict
Here is the function:
def dict_from_cookiejar(cj):
"""Returns a key/value dictionary from a CookieJar.
:param cj: CookieJar object to extract cookies from.
:rtype: dict
"""
cookie_dict = {}
for cookie in cj:
cookie_dict[cookie.name] = cookie.value
return cookie_dict | Returns a key/value dictionary from a CookieJar. :param cj: CookieJar object to extract cookies from. :rtype: dict |
1,460 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
def cookiejar_from_dict(cookie_dict, cookiejar=None, overwrite=True):
"""Returns a CookieJar from a key/value dictionary.
:param cookie_dict: Dict of key/values to insert into CookieJar.
:param cookiejar: (optional) A cookiejar to add the cookies to.
:param overwrite: (optional) If False, will not replace cookies
already in the jar with new ones.
:rtype: CookieJar
"""
if cookiejar is None:
cookiejar = RequestsCookieJar()
if cookie_dict is not None:
names_from_jar = [cookie.name for cookie in cookiejar]
for name in cookie_dict:
if overwrite or (name not in names_from_jar):
cookiejar.set_cookie(create_cookie(name, cookie_dict[name]))
return cookiejar
The provided code snippet includes necessary dependencies for implementing the `add_dict_to_cookiejar` function. Write a Python function `def add_dict_to_cookiejar(cj, cookie_dict)` to solve the following problem:
Returns a CookieJar from a key/value dictionary. :param cj: CookieJar to insert cookies into. :param cookie_dict: Dict of key/values to insert into CookieJar. :rtype: CookieJar
Here is the function:
def add_dict_to_cookiejar(cj, cookie_dict):
"""Returns a CookieJar from a key/value dictionary.
:param cj: CookieJar to insert cookies into.
:param cookie_dict: Dict of key/values to insert into CookieJar.
:rtype: CookieJar
"""
return cookiejar_from_dict(cookie_dict, cj) | Returns a CookieJar from a key/value dictionary. :param cj: CookieJar to insert cookies into. :param cookie_dict: Dict of key/values to insert into CookieJar. :rtype: CookieJar |
1,461 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
import warnings
warnings.simplefilter("ignore", DependencyWarning)
warnings.simplefilter("default", FileModeWarning, append=True)
The provided code snippet includes necessary dependencies for implementing the `get_encodings_from_content` function. Write a Python function `def get_encodings_from_content(content)` to solve the following problem:
Returns encodings from given content string. :param content: bytestring to extract encodings from.
Here is the function:
def get_encodings_from_content(content):
"""Returns encodings from given content string.
:param content: bytestring to extract encodings from.
"""
warnings.warn(
(
"In requests 3.0, get_encodings_from_content will be removed. For "
"more information, please see the discussion on issue #2266. (This"
" warning should only appear once.)"
),
DeprecationWarning,
)
charset_re = re.compile(r'<meta.*?charset=["\']*(.+?)["\'>]', flags=re.I)
pragma_re = re.compile(r'<meta.*?content=["\']*;?charset=(.+?)["\'>]', flags=re.I)
xml_re = re.compile(r'^<\?xml.*?encoding=["\']*(.+?)["\'>]')
return (
charset_re.findall(content)
+ pragma_re.findall(content)
+ xml_re.findall(content)
) | Returns encodings from given content string. :param content: bytestring to extract encodings from. |
1,462 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
The provided code snippet includes necessary dependencies for implementing the `stream_decode_response_unicode` function. Write a Python function `def stream_decode_response_unicode(iterator, r)` to solve the following problem:
Stream decodes an iterator.
Here is the function:
def stream_decode_response_unicode(iterator, r):
"""Stream decodes an iterator."""
if r.encoding is None:
yield from iterator
return
decoder = codecs.getincrementaldecoder(r.encoding)(errors="replace")
for chunk in iterator:
rv = decoder.decode(chunk)
if rv:
yield rv
rv = decoder.decode(b"", final=True)
if rv:
yield rv | Stream decodes an iterator. |
1,463 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
The provided code snippet includes necessary dependencies for implementing the `iter_slices` function. Write a Python function `def iter_slices(string, slice_length)` to solve the following problem:
Iterate over slices of a string.
Here is the function:
def iter_slices(string, slice_length):
"""Iterate over slices of a string."""
pos = 0
if slice_length is None or slice_length <= 0:
slice_length = len(string)
while pos < len(string):
yield string[pos : pos + slice_length]
pos += slice_length | Iterate over slices of a string. |
1,464 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
def get_encoding_from_headers(headers):
"""Returns encodings from given HTTP Header Dict.
:param headers: dictionary to extract encoding from.
:rtype: str
"""
content_type = headers.get("content-type")
if not content_type:
return None
content_type, params = _parse_content_type_header(content_type)
if "charset" in params:
return params["charset"].strip("'\"")
if "text" in content_type:
return "ISO-8859-1"
if "application/json" in content_type:
# Assume UTF-8 based on RFC 4627: https://www.ietf.org/rfc/rfc4627.txt since the charset was unset
return "utf-8"
import warnings
warnings.simplefilter("ignore", DependencyWarning)
warnings.simplefilter("default", FileModeWarning, append=True)
str = str
The provided code snippet includes necessary dependencies for implementing the `get_unicode_from_response` function. Write a Python function `def get_unicode_from_response(r)` to solve the following problem:
Returns the requested content back in unicode. :param r: Response object to get unicode content from. Tried: 1. charset from content-type 2. fall back and replace all unicode characters :rtype: str
Here is the function:
def get_unicode_from_response(r):
"""Returns the requested content back in unicode.
:param r: Response object to get unicode content from.
Tried:
1. charset from content-type
2. fall back and replace all unicode characters
:rtype: str
"""
warnings.warn(
(
"In requests 3.0, get_unicode_from_response will be removed. For "
"more information, please see the discussion on issue #2266. (This"
" warning should only appear once.)"
),
DeprecationWarning,
)
tried_encodings = []
# Try charset from content-type
encoding = get_encoding_from_headers(r.headers)
if encoding:
try:
return str(r.content, encoding)
except UnicodeError:
tried_encodings.append(encoding)
# Fall back:
try:
return str(r.content, encoding, errors="replace")
except TypeError:
return r.content | Returns the requested content back in unicode. :param r: Response object to get unicode content from. Tried: 1. charset from content-type 2. fall back and replace all unicode characters :rtype: str |
1,465 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
def unquote_unreserved(uri):
"""Un-escape any percent-escape sequences in a URI that are unreserved
characters. This leaves all reserved, illegal and non-ASCII bytes encoded.
:rtype: str
"""
parts = uri.split("%")
for i in range(1, len(parts)):
h = parts[i][0:2]
if len(h) == 2 and h.isalnum():
try:
c = chr(int(h, 16))
except ValueError:
raise InvalidURL(f"Invalid percent-escape sequence: '{h}'")
if c in UNRESERVED_SET:
parts[i] = c + parts[i][2:]
else:
parts[i] = f"%{parts[i]}"
else:
parts[i] = f"%{parts[i]}"
return "".join(parts)
class InvalidURL(RequestException, ValueError):
"""The URL provided was somehow invalid."""
The provided code snippet includes necessary dependencies for implementing the `requote_uri` function. Write a Python function `def requote_uri(uri)` to solve the following problem:
Re-quote the given URI. This function passes the given URI through an unquote/quote cycle to ensure that it is fully and consistently quoted. :rtype: str
Here is the function:
def requote_uri(uri):
"""Re-quote the given URI.
This function passes the given URI through an unquote/quote cycle to
ensure that it is fully and consistently quoted.
:rtype: str
"""
safe_with_percent = "!#$%&'()*+,/:;=?@[]~"
safe_without_percent = "!#$&'()*+,/:;=?@[]~"
try:
# Unquote only the unreserved characters
# Then quote only illegal characters (do not quote reserved,
# unreserved, or '%')
return quote(unquote_unreserved(uri), safe=safe_with_percent)
except InvalidURL:
# We couldn't unquote the given URI, so let's try quoting it, but
# there may be unquoted '%'s in the URI. We need to make sure they're
# properly quoted so they do not cause issues elsewhere.
return quote(uri, safe=safe_without_percent) | Re-quote the given URI. This function passes the given URI through an unquote/quote cycle to ensure that it is fully and consistently quoted. :rtype: str |
1,466 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
The provided code snippet includes necessary dependencies for implementing the `select_proxy` function. Write a Python function `def select_proxy(url, proxies)` to solve the following problem:
Select a proxy for the url, if applicable. :param url: The url being for the request :param proxies: A dictionary of schemes or schemes and hosts to proxy URLs
Here is the function:
def select_proxy(url, proxies):
"""Select a proxy for the url, if applicable.
:param url: The url being for the request
:param proxies: A dictionary of schemes or schemes and hosts to proxy URLs
"""
proxies = proxies or {}
urlparts = urlparse(url)
if urlparts.hostname is None:
return proxies.get(urlparts.scheme, proxies.get("all"))
proxy_keys = [
urlparts.scheme + "://" + urlparts.hostname,
urlparts.scheme,
"all://" + urlparts.hostname,
"all",
]
proxy = None
for proxy_key in proxy_keys:
if proxy_key in proxies:
proxy = proxies[proxy_key]
break
return proxy | Select a proxy for the url, if applicable. :param url: The url being for the request :param proxies: A dictionary of schemes or schemes and hosts to proxy URLs |
1,467 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
def should_bypass_proxies(url, no_proxy):
"""
Returns whether we should bypass proxies or not.
:rtype: bool
"""
# Prioritize lowercase environment variables over uppercase
# to keep a consistent behaviour with other http projects (curl, wget).
def get_proxy(key):
return os.environ.get(key) or os.environ.get(key.upper())
# First check whether no_proxy is defined. If it is, check that the URL
# we're getting isn't in the no_proxy list.
no_proxy_arg = no_proxy
if no_proxy is None:
no_proxy = get_proxy("no_proxy")
parsed = urlparse(url)
if parsed.hostname is None:
# URLs don't always have hostnames, e.g. file:/// urls.
return True
if no_proxy:
# We need to check whether we match here. We need to see if we match
# the end of the hostname, both with and without the port.
no_proxy = (host for host in no_proxy.replace(" ", "").split(",") if host)
if is_ipv4_address(parsed.hostname):
for proxy_ip in no_proxy:
if is_valid_cidr(proxy_ip):
if address_in_network(parsed.hostname, proxy_ip):
return True
elif parsed.hostname == proxy_ip:
# If no_proxy ip was defined in plain IP notation instead of cidr notation &
# matches the IP of the index
return True
else:
host_with_port = parsed.hostname
if parsed.port:
host_with_port += f":{parsed.port}"
for host in no_proxy:
if parsed.hostname.endswith(host) or host_with_port.endswith(host):
# The URL does match something in no_proxy, so we don't want
# to apply the proxies on this URL.
return True
with set_environ("no_proxy", no_proxy_arg):
# parsed.hostname can be `None` in cases such as a file URI.
try:
bypass = proxy_bypass(parsed.hostname)
except (TypeError, socket.gaierror):
bypass = False
if bypass:
return True
return False
def get_environ_proxies(url, no_proxy=None):
"""
Return a dict of environment proxies.
:rtype: dict
"""
if should_bypass_proxies(url, no_proxy=no_proxy):
return {}
else:
return getproxies()
The provided code snippet includes necessary dependencies for implementing the `resolve_proxies` function. Write a Python function `def resolve_proxies(request, proxies, trust_env=True)` to solve the following problem:
This method takes proxy information from a request and configuration input to resolve a mapping of target proxies. This will consider settings such a NO_PROXY to strip proxy configurations. :param request: Request or PreparedRequest :param proxies: A dictionary of schemes or schemes and hosts to proxy URLs :param trust_env: Boolean declaring whether to trust environment configs :rtype: dict
Here is the function:
def resolve_proxies(request, proxies, trust_env=True):
"""This method takes proxy information from a request and configuration
input to resolve a mapping of target proxies. This will consider settings
such a NO_PROXY to strip proxy configurations.
:param request: Request or PreparedRequest
:param proxies: A dictionary of schemes or schemes and hosts to proxy URLs
:param trust_env: Boolean declaring whether to trust environment configs
:rtype: dict
"""
proxies = proxies if proxies is not None else {}
url = request.url
scheme = urlparse(url).scheme
no_proxy = proxies.get("no_proxy")
new_proxies = proxies.copy()
if trust_env and not should_bypass_proxies(url, no_proxy=no_proxy):
environ_proxies = get_environ_proxies(url, no_proxy=no_proxy)
proxy = environ_proxies.get(scheme, environ_proxies.get("all"))
if proxy:
new_proxies.setdefault(scheme, proxy)
return new_proxies | This method takes proxy information from a request and configuration input to resolve a mapping of target proxies. This will consider settings such a NO_PROXY to strip proxy configurations. :param request: Request or PreparedRequest :param proxies: A dictionary of schemes or schemes and hosts to proxy URLs :param trust_env: Boolean declaring whether to trust environment configs :rtype: dict |
1,468 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
DEFAULT_ACCEPT_ENCODING = ", ".join(
re.split(r",\s*", make_headers(accept_encoding=True)["accept-encoding"])
)
def default_user_agent(name="python-requests"):
"""
Return a string representing the default user agent.
:rtype: str
"""
return f"{name}/{__version__}"
class CaseInsensitiveDict(MutableMapping):
"""A case-insensitive ``dict``-like object.
Implements all methods and operations of
``MutableMapping`` as well as dict's ``copy``. Also
provides ``lower_items``.
All keys are expected to be strings. The structure remembers the
case of the last key to be set, and ``iter(instance)``,
``keys()``, ``items()``, ``iterkeys()``, and ``iteritems()``
will contain case-sensitive keys. However, querying and contains
testing is case insensitive::
cid = CaseInsensitiveDict()
cid['Accept'] = 'application/json'
cid['aCCEPT'] == 'application/json' # True
list(cid) == ['Accept'] # True
For example, ``headers['content-encoding']`` will return the
value of a ``'Content-Encoding'`` response header, regardless
of how the header name was originally stored.
If the constructor, ``.update``, or equality comparison
operations are given keys that have equal ``.lower()``s, the
behavior is undefined.
"""
def __init__(self, data=None, **kwargs):
self._store = OrderedDict()
if data is None:
data = {}
self.update(data, **kwargs)
def __setitem__(self, key, value):
# Use the lowercased key for lookups, but store the actual
# key alongside the value.
self._store[key.lower()] = (key, value)
def __getitem__(self, key):
return self._store[key.lower()][1]
def __delitem__(self, key):
del self._store[key.lower()]
def __iter__(self):
return (casedkey for casedkey, mappedvalue in self._store.values())
def __len__(self):
return len(self._store)
def lower_items(self):
"""Like iteritems(), but with all lowercase keys."""
return ((lowerkey, keyval[1]) for (lowerkey, keyval) in self._store.items())
def __eq__(self, other):
if isinstance(other, Mapping):
other = CaseInsensitiveDict(other)
else:
return NotImplemented
# Compare insensitively
return dict(self.lower_items()) == dict(other.lower_items())
# Copy is required
def copy(self):
return CaseInsensitiveDict(self._store.values())
def __repr__(self):
return str(dict(self.items()))
The provided code snippet includes necessary dependencies for implementing the `default_headers` function. Write a Python function `def default_headers()` to solve the following problem:
:rtype: requests.structures.CaseInsensitiveDict
Here is the function:
def default_headers():
"""
:rtype: requests.structures.CaseInsensitiveDict
"""
return CaseInsensitiveDict(
{
"User-Agent": default_user_agent(),
"Accept-Encoding": DEFAULT_ACCEPT_ENCODING,
"Accept": "*/*",
"Connection": "keep-alive",
}
) | :rtype: requests.structures.CaseInsensitiveDict |
1,469 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
The provided code snippet includes necessary dependencies for implementing the `parse_header_links` function. Write a Python function `def parse_header_links(value)` to solve the following problem:
Return a list of parsed link headers proxies. i.e. Link: <http:/.../front.jpeg>; rel=front; type="image/jpeg",<http://.../back.jpeg>; rel=back;type="image/jpeg" :rtype: list
Here is the function:
def parse_header_links(value):
"""Return a list of parsed link headers proxies.
i.e. Link: <http:/.../front.jpeg>; rel=front; type="image/jpeg",<http://.../back.jpeg>; rel=back;type="image/jpeg"
:rtype: list
"""
links = []
replace_chars = " '\""
value = value.strip(replace_chars)
if not value:
return links
for val in re.split(", *<", value):
try:
url, params = val.split(";", 1)
except ValueError:
url, params = val, ""
link = {"url": url.strip("<> '\"")}
for param in params.split(";"):
try:
key, value = param.split("=")
except ValueError:
break
link[key.strip(replace_chars)] = value.strip(replace_chars)
links.append(link)
return links | Return a list of parsed link headers proxies. i.e. Link: <http:/.../front.jpeg>; rel=front; type="image/jpeg",<http://.../back.jpeg>; rel=back;type="image/jpeg" :rtype: list |
1,470 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
_null = "\x00".encode("ascii")
_null2 = _null * 2
_null3 = _null * 3
The provided code snippet includes necessary dependencies for implementing the `guess_json_utf` function. Write a Python function `def guess_json_utf(data)` to solve the following problem:
:rtype: str
Here is the function:
def guess_json_utf(data):
"""
:rtype: str
"""
# JSON always starts with two ASCII characters, so detection is as
# easy as counting the nulls and from their location and count
# determine the encoding. Also detect a BOM, if present.
sample = data[:4]
if sample in (codecs.BOM_UTF32_LE, codecs.BOM_UTF32_BE):
return "utf-32" # BOM included
if sample[:3] == codecs.BOM_UTF8:
return "utf-8-sig" # BOM included, MS style (discouraged)
if sample[:2] in (codecs.BOM_UTF16_LE, codecs.BOM_UTF16_BE):
return "utf-16" # BOM included
nullcount = sample.count(_null)
if nullcount == 0:
return "utf-8"
if nullcount == 2:
if sample[::2] == _null2: # 1st and 3rd are null
return "utf-16-be"
if sample[1::2] == _null2: # 2nd and 4th are null
return "utf-16-le"
# Did not detect 2 valid UTF-16 ascii-range characters
if nullcount == 3:
if sample[:3] == _null3:
return "utf-32-be"
if sample[1:] == _null3:
return "utf-32-le"
# Did not detect a valid UTF-32 ascii-range character
return None | :rtype: str |
1,471 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
The provided code snippet includes necessary dependencies for implementing the `prepend_scheme_if_needed` function. Write a Python function `def prepend_scheme_if_needed(url, new_scheme)` to solve the following problem:
Given a URL that may or may not have a scheme, prepend the given scheme. Does not replace a present scheme with the one provided as an argument. :rtype: str
Here is the function:
def prepend_scheme_if_needed(url, new_scheme):
"""Given a URL that may or may not have a scheme, prepend the given scheme.
Does not replace a present scheme with the one provided as an argument.
:rtype: str
"""
parsed = parse_url(url)
scheme, auth, host, port, path, query, fragment = parsed
# A defect in urlparse determines that there isn't a netloc present in some
# urls. We previously assumed parsing was overly cautious, and swapped the
# netloc and path. Due to a lack of tests on the original defect, this is
# maintained with parse_url for backwards compatibility.
netloc = parsed.netloc
if not netloc:
netloc, path = path, netloc
if auth:
# parse_url doesn't provide the netloc with auth
# so we'll add it ourselves.
netloc = "@".join([auth, netloc])
if scheme is None:
scheme = new_scheme
if path is None:
path = ""
return urlunparse((scheme, netloc, path, "", query, fragment)) | Given a URL that may or may not have a scheme, prepend the given scheme. Does not replace a present scheme with the one provided as an argument. :rtype: str |
1,472 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
The provided code snippet includes necessary dependencies for implementing the `get_auth_from_url` function. Write a Python function `def get_auth_from_url(url)` to solve the following problem:
Given a url with authentication components, extract them into a tuple of username,password. :rtype: (str,str)
Here is the function:
def get_auth_from_url(url):
"""Given a url with authentication components, extract them into a tuple of
username,password.
:rtype: (str,str)
"""
parsed = urlparse(url)
try:
auth = (unquote(parsed.username), unquote(parsed.password))
except (AttributeError, TypeError):
auth = ("", "")
return auth | Given a url with authentication components, extract them into a tuple of username,password. :rtype: (str,str) |
1,473 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
def _validate_header_part(header_part, header_kind, validator):
if not validator.match(header_part):
raise InvalidHeader(
f"Invalid leading whitespace, reserved character(s), or return"
f"character(s) in header {header_kind}: {header_part!r}"
)
HEADER_VALIDATORS = {
bytes: (_VALID_HEADER_NAME_RE_BYTE, _VALID_HEADER_VALUE_RE_BYTE),
str: (_VALID_HEADER_NAME_RE_STR, _VALID_HEADER_VALUE_RE_STR),
}
class InvalidHeader(RequestException, ValueError):
"""The header value provided was somehow invalid."""
The provided code snippet includes necessary dependencies for implementing the `check_header_validity` function. Write a Python function `def check_header_validity(header)` to solve the following problem:
Verifies that header parts don't contain leading whitespace reserved characters, or return characters. :param header: tuple, in the format (name, value).
Here is the function:
def check_header_validity(header):
"""Verifies that header parts don't contain leading whitespace
reserved characters, or return characters.
:param header: tuple, in the format (name, value).
"""
name, value = header
for part in header:
if type(part) not in HEADER_VALIDATORS:
raise InvalidHeader(
f"Header part ({part!r}) from {{{name!r}: {value!r}}} must be "
f"of type str or bytes, not {type(part)}"
)
_validate_header_part(name, "name", HEADER_VALIDATORS[type(name)][0])
_validate_header_part(value, "value", HEADER_VALIDATORS[type(value)][1]) | Verifies that header parts don't contain leading whitespace reserved characters, or return characters. :param header: tuple, in the format (name, value). |
1,474 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
The provided code snippet includes necessary dependencies for implementing the `urldefragauth` function. Write a Python function `def urldefragauth(url)` to solve the following problem:
Given a url remove the fragment and the authentication part. :rtype: str
Here is the function:
def urldefragauth(url):
"""
Given a url remove the fragment and the authentication part.
:rtype: str
"""
scheme, netloc, path, params, query, fragment = urlparse(url)
# see func:`prepend_scheme_if_needed`
if not netloc:
netloc, path = path, netloc
netloc = netloc.rsplit("@", 1)[-1]
return urlunparse((scheme, netloc, path, params, query, "")) | Given a url remove the fragment and the authentication part. :rtype: str |
1,475 | import codecs
import contextlib
import io
import os
import re
import socket
import struct
import sys
import tempfile
import warnings
import zipfile
from collections import OrderedDict
from urllib3.util import make_headers, parse_url
from . import certs
from .__version__ import __version__
from ._internal_utils import HEADER_VALIDATORS, to_native_string
from .compat import (
Mapping,
basestring,
bytes,
getproxies,
getproxies_environment,
integer_types,
)
from .compat import parse_http_list as _parse_list_header
from .compat import (
proxy_bypass,
proxy_bypass_environment,
quote,
str,
unquote,
urlparse,
urlunparse,
)
from .cookies import cookiejar_from_dict
from .exceptions import (
FileModeWarning,
InvalidHeader,
InvalidURL,
UnrewindableBodyError,
)
from .structures import CaseInsensitiveDict
integer_types = (int,)
class UnrewindableBodyError(RequestException):
"""Requests encountered an error when trying to rewind a body."""
The provided code snippet includes necessary dependencies for implementing the `rewind_body` function. Write a Python function `def rewind_body(prepared_request)` to solve the following problem:
Move file pointer back to its recorded starting position so it can be read again on redirect.
Here is the function:
def rewind_body(prepared_request):
"""Move file pointer back to its recorded starting position
so it can be read again on redirect.
"""
body_seek = getattr(prepared_request.body, "seek", None)
if body_seek is not None and isinstance(
prepared_request._body_position, integer_types
):
try:
body_seek(prepared_request._body_position)
except OSError:
raise UnrewindableBodyError(
"An error occurred when rewinding request body for redirect."
)
else:
raise UnrewindableBodyError("Unable to rewind request body for redirect.") | Move file pointer back to its recorded starting position so it can be read again on redirect. |
1,476 | import os.path
import socket
from urllib3.exceptions import ClosedPoolError, ConnectTimeoutError
from urllib3.exceptions import HTTPError as _HTTPError
from urllib3.exceptions import InvalidHeader as _InvalidHeader
from urllib3.exceptions import (
LocationValueError,
MaxRetryError,
NewConnectionError,
ProtocolError,
)
from urllib3.exceptions import ProxyError as _ProxyError
from urllib3.exceptions import ReadTimeoutError, ResponseError
from urllib3.exceptions import SSLError as _SSLError
from urllib3.poolmanager import PoolManager, proxy_from_url
from urllib3.response import HTTPResponse
from urllib3.util import Timeout as TimeoutSauce
from urllib3.util import parse_url
from urllib3.util.retry import Retry
from .auth import _basic_auth_str
from .compat import basestring, urlparse
from .cookies import extract_cookies_to_jar
from .exceptions import (
ConnectionError,
ConnectTimeout,
InvalidHeader,
InvalidProxyURL,
InvalidSchema,
InvalidURL,
ProxyError,
ReadTimeout,
RetryError,
SSLError,
)
from .models import Response
from .structures import CaseInsensitiveDict
from .utils import (
DEFAULT_CA_BUNDLE_PATH,
extract_zipped_paths,
get_auth_from_url,
get_encoding_from_headers,
prepend_scheme_if_needed,
select_proxy,
urldefragauth,
)
class InvalidSchema(RequestException, ValueError):
"""The URL scheme provided is either invalid or unsupported."""
def SOCKSProxyManager(*args, **kwargs):
raise InvalidSchema("Missing dependencies for SOCKS support.") | null |
1,477 | import calendar
import copy
import time
from ._internal_utils import to_native_string
from .compat import Morsel, MutableMapping, cookielib, urlparse, urlunparse
class MockRequest:
"""Wraps a `requests.Request` to mimic a `urllib2.Request`.
The code in `cookielib.CookieJar` expects this interface in order to correctly
manage cookie policies, i.e., determine whether a cookie can be set, given the
domains of the request and the cookie.
The original request object is read-only. The client is responsible for collecting
the new headers via `get_new_headers()` and interpreting them appropriately. You
probably want `get_cookie_header`, defined below.
"""
def __init__(self, request):
self._r = request
self._new_headers = {}
self.type = urlparse(self._r.url).scheme
def get_type(self):
return self.type
def get_host(self):
return urlparse(self._r.url).netloc
def get_origin_req_host(self):
return self.get_host()
def get_full_url(self):
# Only return the response's URL if the user hadn't set the Host
# header
if not self._r.headers.get("Host"):
return self._r.url
# If they did set it, retrieve it and reconstruct the expected domain
host = to_native_string(self._r.headers["Host"], encoding="utf-8")
parsed = urlparse(self._r.url)
# Reconstruct the URL as we expect it
return urlunparse(
[
parsed.scheme,
host,
parsed.path,
parsed.params,
parsed.query,
parsed.fragment,
]
)
def is_unverifiable(self):
return True
def has_header(self, name):
return name in self._r.headers or name in self._new_headers
def get_header(self, name, default=None):
return self._r.headers.get(name, self._new_headers.get(name, default))
def add_header(self, key, val):
"""cookielib has no legitimate use for this method; add it back if you find one."""
raise NotImplementedError(
"Cookie headers should be added with add_unredirected_header()"
)
def add_unredirected_header(self, name, value):
self._new_headers[name] = value
def get_new_headers(self):
return self._new_headers
def unverifiable(self):
return self.is_unverifiable()
def origin_req_host(self):
return self.get_origin_req_host()
def host(self):
return self.get_host()
class MockResponse:
"""Wraps a `httplib.HTTPMessage` to mimic a `urllib.addinfourl`.
...what? Basically, expose the parsed HTTP headers from the server response
the way `cookielib` expects to see them.
"""
def __init__(self, headers):
"""Make a MockResponse for `cookielib` to read.
:param headers: a httplib.HTTPMessage or analogous carrying the headers
"""
self._headers = headers
def info(self):
return self._headers
def getheaders(self, name):
self._headers.getheaders(name)
The provided code snippet includes necessary dependencies for implementing the `extract_cookies_to_jar` function. Write a Python function `def extract_cookies_to_jar(jar, request, response)` to solve the following problem:
Extract the cookies from the response into a CookieJar. :param jar: cookielib.CookieJar (not necessarily a RequestsCookieJar) :param request: our own requests.Request object :param response: urllib3.HTTPResponse object
Here is the function:
def extract_cookies_to_jar(jar, request, response):
"""Extract the cookies from the response into a CookieJar.
:param jar: cookielib.CookieJar (not necessarily a RequestsCookieJar)
:param request: our own requests.Request object
:param response: urllib3.HTTPResponse object
"""
if not (hasattr(response, "_original_response") and response._original_response):
return
# the _original_response field is the wrapped httplib.HTTPResponse object,
req = MockRequest(request)
# pull out the HTTPMessage with the headers and put it in the mock:
res = MockResponse(response._original_response.msg)
jar.extract_cookies(res, req) | Extract the cookies from the response into a CookieJar. :param jar: cookielib.CookieJar (not necessarily a RequestsCookieJar) :param request: our own requests.Request object :param response: urllib3.HTTPResponse object |
1,478 | import calendar
import copy
import time
from ._internal_utils import to_native_string
from .compat import Morsel, MutableMapping, cookielib, urlparse, urlunparse
class MockRequest:
"""Wraps a `requests.Request` to mimic a `urllib2.Request`.
The code in `cookielib.CookieJar` expects this interface in order to correctly
manage cookie policies, i.e., determine whether a cookie can be set, given the
domains of the request and the cookie.
The original request object is read-only. The client is responsible for collecting
the new headers via `get_new_headers()` and interpreting them appropriately. You
probably want `get_cookie_header`, defined below.
"""
def __init__(self, request):
self._r = request
self._new_headers = {}
self.type = urlparse(self._r.url).scheme
def get_type(self):
return self.type
def get_host(self):
return urlparse(self._r.url).netloc
def get_origin_req_host(self):
return self.get_host()
def get_full_url(self):
# Only return the response's URL if the user hadn't set the Host
# header
if not self._r.headers.get("Host"):
return self._r.url
# If they did set it, retrieve it and reconstruct the expected domain
host = to_native_string(self._r.headers["Host"], encoding="utf-8")
parsed = urlparse(self._r.url)
# Reconstruct the URL as we expect it
return urlunparse(
[
parsed.scheme,
host,
parsed.path,
parsed.params,
parsed.query,
parsed.fragment,
]
)
def is_unverifiable(self):
return True
def has_header(self, name):
return name in self._r.headers or name in self._new_headers
def get_header(self, name, default=None):
return self._r.headers.get(name, self._new_headers.get(name, default))
def add_header(self, key, val):
"""cookielib has no legitimate use for this method; add it back if you find one."""
raise NotImplementedError(
"Cookie headers should be added with add_unredirected_header()"
)
def add_unredirected_header(self, name, value):
self._new_headers[name] = value
def get_new_headers(self):
return self._new_headers
def unverifiable(self):
return self.is_unverifiable()
def origin_req_host(self):
return self.get_origin_req_host()
def host(self):
return self.get_host()
The provided code snippet includes necessary dependencies for implementing the `get_cookie_header` function. Write a Python function `def get_cookie_header(jar, request)` to solve the following problem:
Produce an appropriate Cookie header string to be sent with `request`, or None. :rtype: str
Here is the function:
def get_cookie_header(jar, request):
"""
Produce an appropriate Cookie header string to be sent with `request`, or None.
:rtype: str
"""
r = MockRequest(request)
jar.add_cookie_header(r)
return r.get_new_headers().get("Cookie") | Produce an appropriate Cookie header string to be sent with `request`, or None. :rtype: str |
1,479 | import calendar
import copy
import time
from ._internal_utils import to_native_string
from .compat import Morsel, MutableMapping, cookielib, urlparse, urlunparse
The provided code snippet includes necessary dependencies for implementing the `remove_cookie_by_name` function. Write a Python function `def remove_cookie_by_name(cookiejar, name, domain=None, path=None)` to solve the following problem:
Unsets a cookie by name, by default over all domains and paths. Wraps CookieJar.clear(), is O(n).
Here is the function:
def remove_cookie_by_name(cookiejar, name, domain=None, path=None):
"""Unsets a cookie by name, by default over all domains and paths.
Wraps CookieJar.clear(), is O(n).
"""
clearables = []
for cookie in cookiejar:
if cookie.name != name:
continue
if domain is not None and domain != cookie.domain:
continue
if path is not None and path != cookie.path:
continue
clearables.append((cookie.domain, cookie.path, cookie.name))
for domain, path, name in clearables:
cookiejar.clear(domain, path, name) | Unsets a cookie by name, by default over all domains and paths. Wraps CookieJar.clear(), is O(n). |
1,480 | import calendar
import copy
import time
from ._internal_utils import to_native_string
from .compat import Morsel, MutableMapping, cookielib, urlparse, urlunparse
def _copy_cookie_jar(jar):
if jar is None:
return None
if hasattr(jar, "copy"):
# We're dealing with an instance of RequestsCookieJar
return jar.copy()
# We're dealing with a generic CookieJar instance
new_jar = copy.copy(jar)
new_jar.clear()
for cookie in jar:
new_jar.set_cookie(copy.copy(cookie))
return new_jar | null |
1,481 | import calendar
import copy
import time
from ._internal_utils import to_native_string
from .compat import Morsel, MutableMapping, cookielib, urlparse, urlunparse
def create_cookie(name, value, **kwargs):
"""Make a cookie from underspecified parameters.
By default, the pair of `name` and `value` will be set for the domain ''
and sent on every request (this is sometimes called a "supercookie").
"""
result = {
"version": 0,
"name": name,
"value": value,
"port": None,
"domain": "",
"path": "/",
"secure": False,
"expires": None,
"discard": True,
"comment": None,
"comment_url": None,
"rest": {"HttpOnly": None},
"rfc2109": False,
}
badargs = set(kwargs) - set(result)
if badargs:
raise TypeError(
f"create_cookie() got unexpected keyword arguments: {list(badargs)}"
)
result.update(kwargs)
result["port_specified"] = bool(result["port"])
result["domain_specified"] = bool(result["domain"])
result["domain_initial_dot"] = result["domain"].startswith(".")
result["path_specified"] = bool(result["path"])
return cookielib.Cookie(**result)
The provided code snippet includes necessary dependencies for implementing the `morsel_to_cookie` function. Write a Python function `def morsel_to_cookie(morsel)` to solve the following problem:
Convert a Morsel object into a Cookie containing the one k/v pair.
Here is the function:
def morsel_to_cookie(morsel):
"""Convert a Morsel object into a Cookie containing the one k/v pair."""
expires = None
if morsel["max-age"]:
try:
expires = int(time.time() + int(morsel["max-age"]))
except ValueError:
raise TypeError(f"max-age: {morsel['max-age']} must be integer")
elif morsel["expires"]:
time_template = "%a, %d-%b-%Y %H:%M:%S GMT"
expires = calendar.timegm(time.strptime(morsel["expires"], time_template))
return create_cookie(
comment=morsel["comment"],
comment_url=bool(morsel["comment"]),
discard=False,
domain=morsel["domain"],
expires=expires,
name=morsel.key,
path=morsel["path"],
port=None,
rest={"HttpOnly": morsel["httponly"]},
rfc2109=False,
secure=bool(morsel["secure"]),
value=morsel.value,
version=morsel["version"] or 0,
) | Convert a Morsel object into a Cookie containing the one k/v pair. |
1,482 | import calendar
import copy
import time
from ._internal_utils import to_native_string
from .compat import Morsel, MutableMapping, cookielib, urlparse, urlunparse
def cookiejar_from_dict(cookie_dict, cookiejar=None, overwrite=True):
"""Returns a CookieJar from a key/value dictionary.
:param cookie_dict: Dict of key/values to insert into CookieJar.
:param cookiejar: (optional) A cookiejar to add the cookies to.
:param overwrite: (optional) If False, will not replace cookies
already in the jar with new ones.
:rtype: CookieJar
"""
if cookiejar is None:
cookiejar = RequestsCookieJar()
if cookie_dict is not None:
names_from_jar = [cookie.name for cookie in cookiejar]
for name in cookie_dict:
if overwrite or (name not in names_from_jar):
cookiejar.set_cookie(create_cookie(name, cookie_dict[name]))
return cookiejar
The provided code snippet includes necessary dependencies for implementing the `merge_cookies` function. Write a Python function `def merge_cookies(cookiejar, cookies)` to solve the following problem:
Add cookies to cookiejar and returns a merged CookieJar. :param cookiejar: CookieJar object to add the cookies to. :param cookies: Dictionary or CookieJar object to be added. :rtype: CookieJar
Here is the function:
def merge_cookies(cookiejar, cookies):
"""Add cookies to cookiejar and returns a merged CookieJar.
:param cookiejar: CookieJar object to add the cookies to.
:param cookies: Dictionary or CookieJar object to be added.
:rtype: CookieJar
"""
if not isinstance(cookiejar, cookielib.CookieJar):
raise ValueError("You can only merge into CookieJar")
if isinstance(cookies, dict):
cookiejar = cookiejar_from_dict(cookies, cookiejar=cookiejar, overwrite=False)
elif isinstance(cookies, cookielib.CookieJar):
try:
cookiejar.update(cookies)
except AttributeError:
for cookie_in_jar in cookies:
cookiejar.set_cookie(cookie_in_jar)
return cookiejar | Add cookies to cookiejar and returns a merged CookieJar. :param cookiejar: CookieJar object to add the cookies to. :param cookies: Dictionary or CookieJar object to be added. :rtype: CookieJar |
1,483 | HOOKS = ["response"]
def default_hooks():
return {event: [] for event in HOOKS} | null |
1,484 |
The provided code snippet includes necessary dependencies for implementing the `dispatch_hook` function. Write a Python function `def dispatch_hook(key, hooks, hook_data, **kwargs)` to solve the following problem:
Dispatches a hook dictionary on a given piece of data.
Here is the function:
def dispatch_hook(key, hooks, hook_data, **kwargs):
"""Dispatches a hook dictionary on a given piece of data."""
hooks = hooks or {}
hooks = hooks.get(key)
if hooks:
if hasattr(hooks, "__call__"):
hooks = [hooks]
for hook in hooks:
_hook_data = hook(hook_data, **kwargs)
if _hook_data is not None:
hook_data = _hook_data
return hook_data | Dispatches a hook dictionary on a given piece of data. |
1,485 | import json
import platform
import ssl
import sys
import idna
import urllib3
from . import __version__ as requests_version
try:
import charset_normalizer
except ImportError:
charset_normalizer = None
try:
import chardet
except ImportError:
chardet = None
try:
from urllib3.contrib import pyopenssl
except ImportError:
pyopenssl = None
OpenSSL = None
cryptography = None
else:
import cryptography
import OpenSSL
def _implementation():
"""Return a dict with the Python implementation and version.
Provide both the name and the version of the Python implementation
currently running. For example, on CPython 3.10.3 it will return
{'name': 'CPython', 'version': '3.10.3'}.
This function works best on CPython and PyPy: in particular, it probably
doesn't work for Jython or IronPython. Future investigation should be done
to work out the correct shape of the code for those platforms.
"""
implementation = platform.python_implementation()
if implementation == "CPython":
implementation_version = platform.python_version()
elif implementation == "PyPy":
implementation_version = "{}.{}.{}".format(
sys.pypy_version_info.major,
sys.pypy_version_info.minor,
sys.pypy_version_info.micro,
)
if sys.pypy_version_info.releaselevel != "final":
implementation_version = "".join(
[implementation_version, sys.pypy_version_info.releaselevel]
)
elif implementation == "Jython":
implementation_version = platform.python_version() # Complete Guess
elif implementation == "IronPython":
implementation_version = platform.python_version() # Complete Guess
else:
implementation_version = "Unknown"
return {"name": implementation, "version": implementation_version}
try:
from charset_normalizer import __version__ as charset_normalizer_version
except ImportError:
charset_normalizer_version = None
try:
from chardet import __version__ as chardet_version
except ImportError:
chardet_version = None
try:
try:
import ssl
except ImportError:
ssl = None
if not getattr(ssl, "HAS_SNI", False):
from urllib3.contrib import pyopenssl
pyopenssl.inject_into_urllib3()
# Check cryptography version
from cryptography import __version__ as cryptography_version
_check_cryptography(cryptography_version)
except ImportError:
pass
__version__ = "2.28.2"
The provided code snippet includes necessary dependencies for implementing the `info` function. Write a Python function `def info()` to solve the following problem:
Generate information for a bug report.
Here is the function:
def info():
"""Generate information for a bug report."""
try:
platform_info = {
"system": platform.system(),
"release": platform.release(),
}
except OSError:
platform_info = {
"system": "Unknown",
"release": "Unknown",
}
implementation_info = _implementation()
urllib3_info = {"version": urllib3.__version__}
charset_normalizer_info = {"version": None}
chardet_info = {"version": None}
if charset_normalizer:
charset_normalizer_info = {"version": charset_normalizer.__version__}
if chardet:
chardet_info = {"version": chardet.__version__}
pyopenssl_info = {
"version": None,
"openssl_version": "",
}
if OpenSSL:
pyopenssl_info = {
"version": OpenSSL.__version__,
"openssl_version": f"{OpenSSL.SSL.OPENSSL_VERSION_NUMBER:x}",
}
cryptography_info = {
"version": getattr(cryptography, "__version__", ""),
}
idna_info = {
"version": getattr(idna, "__version__", ""),
}
system_ssl = ssl.OPENSSL_VERSION_NUMBER
system_ssl_info = {"version": f"{system_ssl:x}" if system_ssl is not None else ""}
return {
"platform": platform_info,
"implementation": implementation_info,
"system_ssl": system_ssl_info,
"using_pyopenssl": pyopenssl is not None,
"using_charset_normalizer": chardet is None,
"pyOpenSSL": pyopenssl_info,
"urllib3": urllib3_info,
"chardet": chardet_info,
"charset_normalizer": charset_normalizer_info,
"cryptography": cryptography_info,
"idna": idna_info,
"requests": {
"version": requests_version,
},
} | Generate information for a bug report. |
1,486 | from .structures import LookupDict
_codes = {
# Informational.
100: ("continue",),
101: ("switching_protocols",),
102: ("processing",),
103: ("checkpoint",),
122: ("uri_too_long", "request_uri_too_long"),
200: ("ok", "okay", "all_ok", "all_okay", "all_good", "\\o/", "✓"),
201: ("created",),
202: ("accepted",),
203: ("non_authoritative_info", "non_authoritative_information"),
204: ("no_content",),
205: ("reset_content", "reset"),
206: ("partial_content", "partial"),
207: ("multi_status", "multiple_status", "multi_stati", "multiple_stati"),
208: ("already_reported",),
226: ("im_used",),
# Redirection.
300: ("multiple_choices",),
301: ("moved_permanently", "moved", "\\o-"),
302: ("found",),
303: ("see_other", "other"),
304: ("not_modified",),
305: ("use_proxy",),
306: ("switch_proxy",),
307: ("temporary_redirect", "temporary_moved", "temporary"),
308: (
"permanent_redirect",
"resume_incomplete",
"resume",
), # "resume" and "resume_incomplete" to be removed in 3.0
# Client Error.
400: ("bad_request", "bad"),
401: ("unauthorized",),
402: ("payment_required", "payment"),
403: ("forbidden",),
404: ("not_found", "-o-"),
405: ("method_not_allowed", "not_allowed"),
406: ("not_acceptable",),
407: ("proxy_authentication_required", "proxy_auth", "proxy_authentication"),
408: ("request_timeout", "timeout"),
409: ("conflict",),
410: ("gone",),
411: ("length_required",),
412: ("precondition_failed", "precondition"),
413: ("request_entity_too_large",),
414: ("request_uri_too_large",),
415: ("unsupported_media_type", "unsupported_media", "media_type"),
416: (
"requested_range_not_satisfiable",
"requested_range",
"range_not_satisfiable",
),
417: ("expectation_failed",),
418: ("im_a_teapot", "teapot", "i_am_a_teapot"),
421: ("misdirected_request",),
422: ("unprocessable_entity", "unprocessable"),
423: ("locked",),
424: ("failed_dependency", "dependency"),
425: ("unordered_collection", "unordered"),
426: ("upgrade_required", "upgrade"),
428: ("precondition_required", "precondition"),
429: ("too_many_requests", "too_many"),
431: ("header_fields_too_large", "fields_too_large"),
444: ("no_response", "none"),
449: ("retry_with", "retry"),
450: ("blocked_by_windows_parental_controls", "parental_controls"),
451: ("unavailable_for_legal_reasons", "legal_reasons"),
499: ("client_closed_request",),
# Server Error.
500: ("internal_server_error", "server_error", "/o\\", "✗"),
501: ("not_implemented",),
502: ("bad_gateway",),
503: ("service_unavailable", "unavailable"),
504: ("gateway_timeout",),
505: ("http_version_not_supported", "http_version"),
506: ("variant_also_negotiates",),
507: ("insufficient_storage",),
509: ("bandwidth_limit_exceeded", "bandwidth"),
510: ("not_extended",),
511: ("network_authentication_required", "network_auth", "network_authentication"),
}
codes = LookupDict(name="status_codes")
def _init():
for code, titles in _codes.items():
for title in titles:
setattr(codes, title, code)
if not title.startswith(("\\", "/")):
setattr(codes, title.upper(), code)
def doc(code):
names = ", ".join(f"``{n}``" for n in _codes[code])
return "* %d: %s" % (code, names)
global __doc__
__doc__ = (
__doc__ + "\n" + "\n".join(doc(code) for code in sorted(_codes))
if __doc__ is not None
else None
) | null |
1,487 | import re
from .compat import builtin_str
The provided code snippet includes necessary dependencies for implementing the `unicode_is_ascii` function. Write a Python function `def unicode_is_ascii(u_string)` to solve the following problem:
Determine if unicode string only contains ASCII characters. :param str u_string: unicode string to check. Must be unicode and not Python 2 `str`. :rtype: bool
Here is the function:
def unicode_is_ascii(u_string):
"""Determine if unicode string only contains ASCII characters.
:param str u_string: unicode string to check. Must be unicode
and not Python 2 `str`.
:rtype: bool
"""
assert isinstance(u_string, str)
try:
u_string.encode("ascii")
return True
except UnicodeEncodeError:
return False | Determine if unicode string only contains ASCII characters. :param str u_string: unicode string to check. Must be unicode and not Python 2 `str`. :rtype: bool |
1,488 | import hashlib
import os
import re
import threading
import time
import warnings
from base64 import b64encode
from ._internal_utils import to_native_string
from .compat import basestring, str, urlparse
from .cookies import extract_cookies_to_jar
from .utils import parse_dict_header
import warnings
warnings.simplefilter("ignore", DependencyWarning)
warnings.simplefilter("default", FileModeWarning, append=True)
def to_native_string(string, encoding="ascii"):
"""Given a string object, regardless of type, returns a representation of
that string in the native string type, encoding and decoding where
necessary. This assumes ASCII unless told otherwise.
"""
if isinstance(string, builtin_str):
out = string
else:
out = string.decode(encoding)
return out
str = str
basestring = (str, bytes)
The provided code snippet includes necessary dependencies for implementing the `_basic_auth_str` function. Write a Python function `def _basic_auth_str(username, password)` to solve the following problem:
Returns a Basic Auth string.
Here is the function:
def _basic_auth_str(username, password):
"""Returns a Basic Auth string."""
# "I want us to put a big-ol' comment on top of it that
# says that this behaviour is dumb but we need to preserve
# it because people are relying on it."
# - Lukasa
#
# These are here solely to maintain backwards compatibility
# for things like ints. This will be removed in 3.0.0.
if not isinstance(username, basestring):
warnings.warn(
"Non-string usernames will no longer be supported in Requests "
"3.0.0. Please convert the object you've passed in ({!r}) to "
"a string or bytes object in the near future to avoid "
"problems.".format(username),
category=DeprecationWarning,
)
username = str(username)
if not isinstance(password, basestring):
warnings.warn(
"Non-string passwords will no longer be supported in Requests "
"3.0.0. Please convert the object you've passed in ({!r}) to "
"a string or bytes object in the near future to avoid "
"problems.".format(type(password)),
category=DeprecationWarning,
)
password = str(password)
# -- End Removal --
if isinstance(username, str):
username = username.encode("latin1")
if isinstance(password, str):
password = password.encode("latin1")
authstr = "Basic " + to_native_string(
b64encode(b":".join((username, password))).strip()
)
return authstr | Returns a Basic Auth string. |
1,489 | import sys
import types
from array import array
from collections import abc
from ._abc import MultiMapping, MutableMultiMapping
def GenericAlias(cls):
return cls | null |
1,490 | import sys
import types
from array import array
from collections import abc
from ._abc import MultiMapping, MutableMultiMapping
_version = array("Q", [0])
class _Base:
def _title(self, key):
def getall(self, key, default=_marker):
def getone(self, key, default=_marker):
def __getitem__(self, key):
def get(self, key, default=None):
def __iter__(self):
def __len__(self):
def keys(self):
def items(self):
def values(self):
def __eq__(self, other):
def __contains__(self, key):
def __repr__(self):
def getversion(md):
if not isinstance(md, _Base):
raise TypeError("Parameter should be multidict or proxy")
return md._impl._version | null |
1,491 | from collections.abc import ItemsView, Iterable, KeysView, Set, ValuesView
def _abc_itemsview_register(view_cls):
ItemsView.register(view_cls) | null |
1,492 | from collections.abc import ItemsView, Iterable, KeysView, Set, ValuesView
def _abc_keysview_register(view_cls):
KeysView.register(view_cls) | null |
1,493 | from collections.abc import ItemsView, Iterable, KeysView, Set, ValuesView
def _abc_valuesview_register(view_cls):
ValuesView.register(view_cls) | null |
1,494 | from collections.abc import ItemsView, Iterable, KeysView, Set, ValuesView
def _viewbaseset_richcmp(view, other, op):
if op == 0: # <
if not isinstance(other, Set):
return NotImplemented
return len(view) < len(other) and view <= other
elif op == 1: # <=
if not isinstance(other, Set):
return NotImplemented
if len(view) > len(other):
return False
for elem in view:
if elem not in other:
return False
return True
elif op == 2: # ==
if not isinstance(other, Set):
return NotImplemented
return len(view) == len(other) and view <= other
elif op == 3: # !=
return not view == other
elif op == 4: # >
if not isinstance(other, Set):
return NotImplemented
return len(view) > len(other) and view >= other
elif op == 5: # >=
if not isinstance(other, Set):
return NotImplemented
if len(view) < len(other):
return False
for elem in other:
if elem not in view:
return False
return True | null |
1,495 | from collections.abc import ItemsView, Iterable, KeysView, Set, ValuesView
def _viewbaseset_and(view, other):
if not isinstance(other, Iterable):
return NotImplemented
if isinstance(view, Set):
view = set(iter(view))
if isinstance(other, Set):
other = set(iter(other))
if not isinstance(other, Set):
other = set(iter(other))
return view & other | null |
1,496 | from collections.abc import ItemsView, Iterable, KeysView, Set, ValuesView
def _viewbaseset_or(view, other):
if not isinstance(other, Iterable):
return NotImplemented
if isinstance(view, Set):
view = set(iter(view))
if isinstance(other, Set):
other = set(iter(other))
if not isinstance(other, Set):
other = set(iter(other))
return view | other | null |
1,497 | from collections.abc import ItemsView, Iterable, KeysView, Set, ValuesView
def _viewbaseset_sub(view, other):
if not isinstance(other, Iterable):
return NotImplemented
if isinstance(view, Set):
view = set(iter(view))
if isinstance(other, Set):
other = set(iter(other))
if not isinstance(other, Set):
other = set(iter(other))
return view - other | null |
1,498 | from collections.abc import ItemsView, Iterable, KeysView, Set, ValuesView
def _viewbaseset_xor(view, other):
if not isinstance(other, Iterable):
return NotImplemented
if isinstance(view, Set):
view = set(iter(view))
if isinstance(other, Set):
other = set(iter(other))
if not isinstance(other, Set):
other = set(iter(other))
return view ^ other | null |
1,499 | from collections.abc import ItemsView, Iterable, KeysView, Set, ValuesView
The provided code snippet includes necessary dependencies for implementing the `_itemsview_isdisjoint` function. Write a Python function `def _itemsview_isdisjoint(view, other)` to solve the following problem:
Return True if two sets have a null intersection.
Here is the function:
def _itemsview_isdisjoint(view, other):
"Return True if two sets have a null intersection."
for v in other:
if v in view:
return False
return True | Return True if two sets have a null intersection. |
1,500 | from collections.abc import ItemsView, Iterable, KeysView, Set, ValuesView
def _itemsview_repr(view):
lst = []
for k, v in view:
lst.append("{!r}: {!r}".format(k, v))
body = ", ".join(lst)
return "{}({})".format(view.__class__.__name__, body) | null |
1,501 | from collections.abc import ItemsView, Iterable, KeysView, Set, ValuesView
The provided code snippet includes necessary dependencies for implementing the `_keysview_isdisjoint` function. Write a Python function `def _keysview_isdisjoint(view, other)` to solve the following problem:
Return True if two sets have a null intersection.
Here is the function:
def _keysview_isdisjoint(view, other):
"Return True if two sets have a null intersection."
for k in other:
if k in view:
return False
return True | Return True if two sets have a null intersection. |
1,502 | from collections.abc import ItemsView, Iterable, KeysView, Set, ValuesView
def _keysview_repr(view):
lst = []
for k in view:
lst.append("{!r}".format(k))
body = ", ".join(lst)
return "{}({})".format(view.__class__.__name__, body) | null |
1,503 | from collections.abc import ItemsView, Iterable, KeysView, Set, ValuesView
def _valuesview_repr(view):
lst = []
for v in view:
lst.append("{!r}".format(v))
body = ", ".join(lst)
return "{}({})".format(view.__class__.__name__, body) | null |
1,504 | from collections.abc import ItemsView, Iterable, KeysView, Set, ValuesView
def _mdrepr(md):
lst = []
for k, v in md.items():
lst.append("'{}': {!r}".format(k, v))
body = ", ".join(lst)
return "<{}({})>".format(md.__class__.__name__, body) | null |
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] | null |
Subsets and Splits