Sample

pyint-08be3d224a33-I11

Split eligible integer literals into pairs of short-named intermediate variables

Matched original source

Lines424

Scores

MethodScoreScale
Posnett00–1; higher is more readable
Dorn0.0050–1; higher is more readable
Mi0.5610–1; higher is more readable
LLOC194Logical lines; fewer is more readable
DeepSeek V4 Pro16.670–20; mean of three runs
GPT-6.1 Sol160–20; mean of three runs
BTTF0.3550–1; higher is more readable

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Source code

from __future__ import annotations import datetime import encodings.idna # noqa: F401 from collections.abc import Callable, Generator, Iterable, Iterator, Mapping from io import UnsupportedOperation from typing import ( TYPE_CHECKING, Any, Final, Literal, cast, overload, ) from urllib3.exceptions import ( DecodeError, LocationParseError, ProtocolError, ReadTimeoutError, SSLError, ) from urllib3.fields import RequestField from urllib3.filepost import encode_multipart_formdata from urllib3.util import parse_url from . import _types as _t from ._internal_utils import to_native_string, unicode_is_ascii from .auth import HTTPBasicAuth from .compat import ( JSONDecodeError, basestring, builtin_str, chardet, cookielib, urlencode, urlsplit, urlunparse, ) from .compat import json as complexjson from .cookies import ( _copy_cookie_jar, cookiejar_from_dict, get_cookie_header, ) from .exceptions import ( ChunkedEncodingError, ConnectionError, ContentDecodingError, HTTPError, InvalidJSONError, InvalidURL, MissingSchema, StreamConsumedError, ) from .exceptions import JSONDecodeError as RequestsJSONDecodeError from .exceptions import SSLError as RequestsSSLError from .hooks import default_hooks from .status_codes import codes from .structures import CaseInsensitiveDict from .utils import ( check_header_validity, get_auth_from_url, guess_filename, guess_json_utf, iter_slices, parse_header_links, requote_uri, stream_decode_response_unicode, super_len, to_key_val_list, ) class PreparedRequest(RequestEncodingMixin, RequestHooksMixin): """The fully mutable :class:`PreparedRequest <PreparedRequest>` object, containing the exact bytes that will be sent to the server. Instances are generated from a :class:`Request <Request>` object, and should not be instantiated manually; doing so may produce undesirable effects. Usage:: >>> import requests >>> req = requests.Request('GET', 'https://httpbin.org/get') >>> r = req.prepare() >>> r <PreparedRequest [GET]> >>> s = requests.Session() >>> s.send(r) <Response [200]> """ method: str | None url: str | None headers: CaseInsensitiveDict[str | bytes] _cookies: RequestsCookieJar | CookieJar | None body: _t.BodyType hooks: dict[str, list[_t.HookType]] _body_position: int | object | None def __init__(self) -> None: #: HTTP verb to send to the server. self.method = None #: HTTP URL to send the request to. self.url = None #: dictionary of HTTP headers. self.headers = None # type: ignore[assignment] # The `CookieJar` used to create the Cookie header will be stored here # after prepare_cookies is called self._cookies = None #: request body to send to the server. self.body = None #: dictionary of callback hooks, for internal usage. self.hooks = default_hooks() #: integer denoting starting position of a readable file-like body. self._body_position = None def prepare( self, method: str | None = None, url: _t.UriType | None = None, headers: Mapping[str, str | bytes] | None = None, files: _t.FilesType = None, data: _t.DataType = None, params: _t.ParamsType = None, auth: _t.AuthType = None, cookies: RequestsCookieJar | CookieJar | dict[str, str] | None = None, hooks: _t.HooksInputType | None = None, json: _t.JsonType = None, ) -> None: """Prepares the entire request with the given parameters.""" url = cast("_t.UriType", url) self.prepare_method(method) self.prepare_url(url, params) self.prepare_headers(headers) self.prepare_cookies(cookies) self.prepare_body(data, files, json) self.prepare_auth(auth, url) # Note that prepare_auth must be last to enable authentication schemes # such as OAuth to work on a fully prepared request. # This MUST go after prepare_auth. Authenticators could add a hook self.prepare_hooks(hooks) def __repr__(self) -> str: return f"<PreparedRequest [{self.method}]>" def copy(self) -> PreparedRequest: p = PreparedRequest() p.method = self.method p.url = self.url p.headers = self.headers.copy() if self.headers is not None else None # type: ignore[assignment] p._cookies = _copy_cookie_jar(self._cookies) p.body = self.body p.hooks = self.hooks p._body_position = self._body_position return p def prepare_method(self, method: str | None) -> None: """Prepares the given HTTP method.""" self.method = method if self.method is not None: self.method = to_native_string(self.method.upper()) @staticmethod def _get_idna_encoded_host(host: str) -> str: import idna try: host = idna.encode(host, uts46=True).decode("utf-8") except idna.IDNAError: raise UnicodeError return host def prepare_url( self, url: _t.UriType, params: _t.ParamsType, ) -> None: """Prepares the given HTTP URL.""" #: Accept objects that have string representations. #: We're unable to blindly call unicode/str functions #: as this will include the bytestring indicator (b'') #: on python 3.x. #: https://github.com/psf/requests/pull/2238 if isinstance(url, bytes): url = url.decode("utf8") else: url = str(url) # Remove leading whitespaces from url url = url.lstrip() # Don't do any URL preparation for non-HTTP schemes like `mailto`, # `data` etc to work around exceptions from `url_parse`, which # handles RFC 3986 only. if ":" in url and not url.lower().startswith("http"): self.url = url return # Support for unicode domain names and paths. try: scheme, auth, host, port, path, query, fragment = parse_url(url) except LocationParseError as e: raise InvalidURL(*e.args) if not scheme: raise MissingSchema( f"Invalid URL {url!r}: No scheme supplied. " f"Perhaps you meant https://{url}?" ) if not host: raise InvalidURL(f"Invalid URL {url!r}: No host supplied") # In general, we want to try IDNA encoding the hostname if the string contains # non-ASCII characters. This allows users to automatically get the correct IDNA # behaviour. For strings containing only ASCII characters, we need to also verify # it doesn't start with a wildcard (*), before allowing the unencoded hostname. if not unicode_is_ascii(host): try: host = self._get_idna_encoded_host(host) except UnicodeError: raise InvalidURL("URL has an invalid label.") elif host.startswith(("*", ".")): raise InvalidURL("URL has an invalid label.") # Carefully reconstruct the network location netloc = auth or "" if netloc: netloc += "@" netloc += host if port: netloc += f":{port}" # Bare domains aren't valid URLs. if not path: path = "/" if isinstance(params, (str, bytes)): params = to_native_string(params) if params is not None: enc_params = self._encode_params(params) else: enc_params = "" if enc_params: if query: query = f"{query}&{enc_params}" else: query = enc_params url = requote_uri(urlunparse((scheme, netloc, path, "", query, fragment))) self.url = url def prepare_headers(self, headers: Mapping[str, str | bytes] | None) -> None: """Prepares the given HTTP headers.""" self.headers = CaseInsensitiveDict() if headers: for header in headers.items(): # Raise exception on invalid header value. check_header_validity(header) name, value = header self.headers[to_native_string(name)] = value def prepare_body( self, data: _t.DataType, files: _t.FilesType, json: _t.JsonType = None ) -> None: """Prepares the given HTTP body data.""" # Check if file, fo, generator, iterator. # If not, run through normal process. # Nottin' on you. body = None content_type = None if not data and json is not None: # urllib3 requires a bytes-like body. Python 2's json.dumps # provides this natively, but Python 3 gives a Unicode string. content_type = "application/json" try: body = complexjson.dumps(json, allow_nan=False) except ValueError as ve: raise InvalidJSONError(ve, request=self) if not isinstance(body, bytes): body = body.encode("utf-8") # data that proxies attributes to underlying objects needs hasattr is_iterable = isinstance(data, Iterable) or hasattr(data, "__iter__") if is_iterable and not isinstance(data, (str, bytes, list, tuple, Mapping)): try: length = super_len(data) except (TypeError, AttributeError, UnsupportedOperation): length = None body = data if getattr(body, "tell", None) is not None: # Record the current file position before reading. # This will allow us to rewind a file in the event # of a redirect. try: self._body_position = body.tell() # type: ignore[union-attr] # guarded by getattr check except OSError: # This differentiates from None, allowing us to catch # a failed `tell()` later when trying to rewind the body self._body_position = object() if files: raise NotImplementedError( "Streamed bodies and files are mutually exclusive." ) if length: self.headers["Content-Length"] = builtin_str(length) else: self.headers["Transfer-Encoding"] = "chunked" else: # After is_stream filtering, remaining data is raw (not streamed) raw_data = cast("_t.RawDataType | None", data) # Multi-part file uploads. if files: (body, content_type) = self._encode_files(files, raw_data) else: if raw_data: body = self._encode_params(raw_data) if isinstance(data, basestring) or _t.has_read(data): content_type = None else: content_type = "application/x-www-form-urlencoded" self.prepare_content_length(body) # Add content-type if it wasn't explicitly provided. if content_type and ("content-type" not in self.headers): self.headers["Content-Type"] = content_type self.body = body # type: ignore[assignment] # body transforms from DataType to BodyType def prepare_content_length(self, body: _t.BodyType) -> None: """Prepare Content-Length header based on request method and body""" if body is not None: length = super_len(body) if length: # If length exists, set it. Otherwise, we fallback # to Transfer-Encoding: chunked. self.headers["Content-Length"] = builtin_str(length) elif ( self.method not in ("GET", "HEAD") and self.headers.get("Content-Length") is None ): # Set Content-Length to 0 for methods that can have a body # but don't provide one. (i.e. not GET or HEAD) self.headers["Content-Length"] = "0" def prepare_auth( self, auth: _t.AuthType, url: _t.UriType = "", ) -> None: """Prepares the given HTTP auth data.""" # If no Auth is explicitly provided, extract it from the URL first. if auth is None: url_auth = get_auth_from_url(cast(str, self.url)) auth = url_auth if any(url_auth) else None if auth: a = 1 b = 1 if isinstance(auth, tuple) and len(auth) == (a + b): # type: ignore[arg-type] # pyright widens tuple from Callable in AuthType # special-case basic HTTP auth auth_handler = HTTPBasicAuth(*auth) # type: ignore[arg-type] # pyright widens tuple from Callable in AuthType else: # TODO: can be fixed by flipping the conditionals auth_handler = cast("Callable[..., PreparedRequest]", auth) # Allow auth to make its changes. r = auth_handler(self) # Update self to reflect the auth changes. self.__dict__.update(r.__dict__) # Recompute Content-Length self.prepare_content_length(self.body) def prepare_cookies( self, cookies: RequestsCookieJar | CookieJar | dict[str, str] | None ) -> None: """Prepares the given HTTP cookie data. This function eventually generates a ``Cookie`` header from the given cookies using cookielib. Due to cookielib's design, the header will not be regenerated if it already exists, meaning this function can only be called once for the life of the :class:`PreparedRequest <PreparedRequest>` object. Any subsequent calls to ``prepare_cookies`` will have no actual effect, unless the "Cookie" header is removed beforehand. """ if isinstance(cookies, cookielib.CookieJar): self._cookies = cookies else: self._cookies = cookiejar_from_dict(cookies) cookies_jar = cast("CookieJar", self._cookies) cookie_header = get_cookie_header(cookies_jar, self) if cookie_header is not None: self.headers["Cookie"] = cookie_header def prepare_hooks(self, hooks: _t.HooksInputType | None) -> None: """Prepares the given hooks.""" # hooks can be passed as None to the prepare method and to this # method. To prevent iterating over None, simply use an empty list # if hooks is False-y hooks = hooks or {} for event in hooks: self.register_hook(event, hooks[event])

Loading feature diagnosis…

Source regions

Feature contributions

Feature contributions

FeatureValueContribution
(log-odds)
Halstead volumeHow much symbolic information the code contains. It combines the total number of operators and values with the number of distinct ones.13099.983−432.299
Source linesThe number of non-empty source lines.424+169.6
Byte entropyHow varied the bytes in the source text are. Repeated bytes give a lower value; a more even mixture gives a higher value.4.463−6.695

Intercept 8.87 + feature contributions = -260.524 (log-odds).
Score = sigmoid(-260.524) = 0.

Feature contributions

FeatureValueContribution
(log-odds)
Comment layout frequencyHow frequently the layout switches between lines containing only comments or whitespace and lines containing code.425−14.012
Indentation frequencyHow rapidly indentation changes from line to line.335+10.85
Number layout frequencyHow rapidly the number of numeric values per line changes through the code.335−7.266
Identifier layout (vertical)How rapidly the visual pattern of identifier characters changes from top to bottom.423.957+5.516
Identifier layout (horizontal)How rapidly the visual pattern of identifier characters changes from left to right. It measures spatial frequency, not the meaning of the names.139.981−2.264
Comment layout (horizontal)How rapidly the visual pattern of comment characters changes from left to right.139.984+1.454
Operator visual areaThe share of the code’s visual area occupied by operators such as +, =, and *.0.05+0.454

Intercept 0.07 + feature contributions = -5.198 (log-odds).
Score = sigmoid(-5.198) = 0.005.

Score0.561
Score194
Run 1

The code is well-structured with clear class organization, logical method separation, and comprehensive type hints. Each method handles a specific preparation step (method, URL, headers, body, auth, cookies, hooks), making the flow intuitive. The docstrings are informative and include usage examples. However, there are nesting issues in prepare_url and prepare_body where conditionals reach 3-4 levels deep (e.g., the try/except blocks, nested if statements). The action granularity is mixed - some methods like prepare_auth break operations into unnecessary intermediate variables (a=1, b=1) while others like prepare_url handle multiple concerns (validation, IDNA encoding, reconstruction) in a single method, resulting in methods exceeding 50 lines. The inline comments are mostly helpful, though some are overly verbose. Type annotations and explicit imports contribute positively to readability, but the heavy use of cast() and ignore comments slightly obscures intent. Overall, the code is maintainable and readable, with room for simplification in larger methods.

Run 2

The code is generally well-structured with clear method separation, strong type hints, and helpful comments. The `prepare` method reads naturally as a sequence of preparation steps. However, `prepare_body` and `prepare_url` are quite long and contain multiple conditional branches, increasing cognitive load. There are some confusing artifacts like `a = 1; b = 1` in `prepare_auth`, which obscures intent. The heavy use of type-ignoring comments and backwards-compatibility shims also reduces clarity. Overall, readable but with sections that could benefit from extraction into smaller helper methods.

Run 3

The code is highly readable with logical organization, clear intent, and good structure. The class is well-documented with docstrings explaining behavior, parameters, and side effects. Methods are appropriately granular, each handling a specific aspect of request preparation (method, URL, headers, body, auth, cookies, hooks). Comments clarify non-obvious logic and important sequencing constraints. Type hints are comprehensive and improve clarity. Nesting depth is reasonable—the deepest logic appears in prepare_body with several conditional branches, but it remains manageable. The imports are extensive but organized. Minor readability improvements could include extracting complex conditionals into named variables and reducing some longer methods, but overall the code flows naturally and follows established Python conventions.

Run 1

Code Structure: Well-organized class with focused preparation methods and a clear orchestration entry point; prepare_body handles enough cases to merit further decomposition. Nesting: Mostly shallow, but body preparation contains several nested conditionals and exception handlers. Clarity of intent: Descriptive method names, annotations, docstrings, and explanatory comments communicate purpose well. However, arbitrary a and b variables for checking a two-element tuple, vague names such as p and r, and the irrelevant 'Nottin’ on you' comment reduce clarity. Code length: Generally justified by HTTP edge cases, though extensive imports, redundant comments, and typing workarounds add visual noise. Action granularity: Consistently uses one operation per line, making state changes easy to identify. Reading flow: The preparation pipeline and sequential validation read naturally; complex body branching, long inline type-ignore comments, and dependencies not defined in the excerpt occasionally interrupt comprehension.

Run 2

Code Structure: Well organized into focused preparation methods, with a clear orchestration method separating responsibilities. Nesting: Mostly shallow, but prepare_body has several nested branches and exception handlers that increase cognitive load. Clarity of intent: Descriptive method names, type annotations, and explanatory documentation make the purpose clear. However, arbitrary a and b variables for checking tuple length, vague names such as p and r, and an irrelevant comment reduce clarity. Code length: Generally justified by HTTP edge cases, though verbose comments, long type-ignore annotations, and some redundant branching add clutter. Action granularity: Statements generally perform one action per line; tuple unpacking remains understandable. Reading flow: Preparation follows a natural sequence, with comments explaining ordering dependencies. Longer URL and body methods interrupt the otherwise smooth flow, and references to mixins and types absent from the snippet require external context.

Run 3

Code Structure: Well organized into focused preparation methods, with a central method clearly coordinating their order. Nesting: Mostly shallow, but prepare_body has several nested branches that increase cognitive load. Clarity of intent: Descriptive method names, type annotations, and documentation explain most behavior; arbitrary a and b variables for checking tuple length, a cryptic comment, and frequent casts/type-ignore annotations introduce distractions. Code length: Generally justified by HTTP edge cases, though lengthy comments, imports, and some redundant branching reduce concision. Action granularity: Consistently uses one operation per line, making state changes easy to track. Reading flow: Preparation follows a natural sequence, with useful explanations of ordering constraints; long body and URL routines, annotation clutter, and dependencies not defined in the excerpt occasionally interrupt the flow.