mirror of
https://github.com/Bunsly/JobSpy.git
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1.1.82
| Author | SHA1 | Date | |
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abd5878238 |
1
.github/CODEOWNERS
vendored
1
.github/CODEOWNERS
vendored
@@ -1 +0,0 @@
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* @cullenwatson
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@@ -89,6 +89,7 @@ Optional
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├── user_agent (str):
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| override the default user agent which may be outdated
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│
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├── description_format (str):
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| markdown, html (Format type of the job descriptions. Default is markdown.)
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@@ -107,7 +107,6 @@ def scrape_jobs(
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scraped_data: JobResponse = scraper.scrape(scraper_input)
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cap_name = site.value.capitalize()
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site_name = "ZipRecruiter" if cap_name == "Zip_recruiter" else cap_name
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site_name = "LinkedIn" if cap_name == "Linkedin" else cap_name
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create_logger(site_name).info(f"finished scraping")
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return site.value, scraped_data
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@@ -46,7 +46,7 @@ class BDJobs(Scraper):
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band_delay = 3
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def __init__(
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self, proxies: list[str] | str | None = None, ca_cert: str | None = None, user_agent: str | None = None
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self, proxies: list[str] | str | None = None, ca_cert: str | None = None
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):
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"""
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Initializes BDJobsScraper with the BDJobs job search url
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@@ -35,7 +35,6 @@ from jobspy.util import (
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extract_emails_from_text,
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currency_parser,
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markdown_converter,
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plain_converter,
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create_session,
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remove_attributes,
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create_logger,
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@@ -165,7 +164,7 @@ class LinkedIn(Scraper):
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if continue_search():
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time.sleep(random.uniform(self.delay, self.delay + self.band_delay))
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start += len(job_cards)
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start += len(job_list)
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job_list = job_list[: scraper_input.results_wanted]
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return JobResponse(jobs=job_list)
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@@ -209,10 +208,6 @@ class LinkedIn(Scraper):
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if metadata_card
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else None
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)
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if not datetime_tag and metadata_card:
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datetime_tag = metadata_card.find(
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"time", class_="job-search-card__listdate--new"
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)
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date_posted = None
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if datetime_tag and "datetime" in datetime_tag.attrs:
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datetime_str = datetime_tag["datetime"]
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@@ -272,8 +267,7 @@ class LinkedIn(Scraper):
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description = div_content.prettify(formatter="html")
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if self.scraper_input.description_format == DescriptionFormat.MARKDOWN:
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description = markdown_converter(description)
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elif self.scraper_input.description_format == DescriptionFormat.PLAIN:
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description = plain_converter(description)
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h3_tag = soup.find(
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"h3", text=lambda text: text and "Job function" in text.strip()
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)
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@@ -234,7 +234,7 @@ class Compensation(BaseModel):
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class DescriptionFormat(Enum):
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MARKDOWN = "markdown"
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HTML = "html"
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PLAIN = "plain"
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class JobPost(BaseModel):
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id: str | None = None
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@@ -164,15 +164,12 @@ class Naukri(Scraper):
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date_posted = self._parse_date(job.get("footerPlaceholderLabel"), job.get("createdDate"))
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job_url = f"https://www.naukri.com{job.get('jdURL', f'/job/{job_id}')}"
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raw_description = job.get("jobDescription") if full_descr else None
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job_type = parse_job_type(raw_description) if raw_description else None
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company_industry = parse_company_industry(raw_description) if raw_description else None
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description = raw_description
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description = job.get("jobDescription") if full_descr else None
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if description and self.scraper_input.description_format == DescriptionFormat.MARKDOWN:
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description = markdown_converter(description)
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job_type = parse_job_type(description) if description else None
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company_industry = parse_company_industry(description) if description else None
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is_remote = is_job_remote(title, description or "", location)
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company_logo = job.get("logoPathV3") or job.get("logoPath")
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@@ -5,12 +5,10 @@ from jobspy.model import JobType, Location
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from jobspy.util import get_enum_from_job_type
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def parse_job_type(soup: BeautifulSoup |str) -> list[JobType] | None:
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def parse_job_type(soup: BeautifulSoup) -> list[JobType] | None:
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"""
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Gets the job type from the job page
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"""
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if isinstance(soup, str):
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soup = BeautifulSoup(soup, "html.parser")
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job_type_tag = soup.find("span", class_="job-type")
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if job_type_tag:
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job_type_str = job_type_tag.get_text(strip=True).lower().replace("-", "")
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@@ -18,12 +16,10 @@ def parse_job_type(soup: BeautifulSoup |str) -> list[JobType] | None:
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return None
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def parse_company_industry(soup: BeautifulSoup | str) -> str | None:
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def parse_company_industry(soup: BeautifulSoup) -> str | None:
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"""
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Gets the company industry from the job page
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"""
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if isinstance(soup, str):
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soup = BeautifulSoup(soup, "html.parser")
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industry_tag = soup.find("span", class_="industry")
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return industry_tag.get_text(strip=True) if industry_tag else None
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@@ -157,15 +157,6 @@ def markdown_converter(description_html: str):
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markdown = md(description_html)
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return markdown.strip()
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def plain_converter(decription_html:str):
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from bs4 import BeautifulSoup
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if decription_html is None:
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return None
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soup = BeautifulSoup(decription_html, "html.parser")
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text = soup.get_text(separator=" ")
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text = re.sub(r'\s+',' ',text)
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return text.strip()
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def extract_emails_from_text(text: str) -> list[str] | None:
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if not text:
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56
poetry.lock
generated
56
poetry.lock
generated
@@ -749,6 +749,17 @@ files = [
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[package.extras]
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all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
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[[package]]
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name = "iniconfig"
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version = "2.0.0"
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description = "brain-dead simple config-ini parsing"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
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{file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
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]
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[[package]]
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name = "ipykernel"
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version = "6.29.5"
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@@ -1218,13 +1229,13 @@ files = [
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[[package]]
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name = "markdownify"
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version = "1.1.0"
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version = "0.13.1"
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description = "Convert HTML to markdown."
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optional = false
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python-versions = "*"
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files = [
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{file = "markdownify-1.1.0-py3-none-any.whl", hash = "sha256:32a5a08e9af02c8a6528942224c91b933b4bd2c7d078f9012943776fc313eeef"},
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{file = "markdownify-1.1.0.tar.gz", hash = "sha256:449c0bbbf1401c5112379619524f33b63490a8fa479456d41de9dc9e37560ebd"},
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{file = "markdownify-0.13.1-py3-none-any.whl", hash = "sha256:1d181d43d20902bcc69d7be85b5316ed174d0dda72ff56e14ae4c95a4a407d22"},
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{file = "markdownify-0.13.1.tar.gz", hash = "sha256:ab257f9e6bd4075118828a28c9d02f8a4bfeb7421f558834aa79b2dfeb32a098"},
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]
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[package.dependencies]
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@@ -1699,6 +1710,21 @@ docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.0.2)", "sphinx-a
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test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.2)", "pytest-cov (>=5)", "pytest-mock (>=3.14)"]
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type = ["mypy (>=1.11.2)"]
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[[package]]
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name = "pluggy"
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version = "1.5.0"
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description = "plugin and hook calling mechanisms for python"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
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{file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
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]
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[package.extras]
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dev = ["pre-commit", "tox"]
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testing = ["pytest", "pytest-benchmark"]
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[[package]]
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name = "pre-commit"
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version = "4.0.1"
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@@ -1949,6 +1975,28 @@ files = [
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[package.extras]
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windows-terminal = ["colorama (>=0.4.6)"]
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[[package]]
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name = "pytest"
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version = "7.4.4"
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description = "pytest: simple powerful testing with Python"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
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{file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
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]
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[package.dependencies]
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colorama = {version = "*", markers = "sys_platform == \"win32\""}
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exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
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iniconfig = "*"
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packaging = "*"
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pluggy = ">=0.12,<2.0"
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tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
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[package.extras]
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testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
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[[package]]
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name = "python-dateutil"
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version = "2.9.0.post0"
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@@ -2821,4 +2869,4 @@ files = [
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[metadata]
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lock-version = "2.0"
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python-versions = "^3.10"
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content-hash = "6260adc8f96f6cf1ba4e2c23f05504c19e67140b9d346aed3d12eea6957b2104"
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content-hash = "57169347d2ce0ff19c4d3024ce000651bb3a816e36f454618f480741094fb4a7"
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@@ -21,10 +21,10 @@ python = "^3.10"
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requests = "^2.31.0"
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beautifulsoup4 = "^4.12.2"
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pandas = "^2.1.0"
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numpy = ">=1.26.0"
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NUMPY = "1.26.3"
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pydantic = "^2.3.0"
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tls-client = "^1.0.1"
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markdownify = "^1.1.0"
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markdownify = "^0.13.1"
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regex = "^2024.4.28"
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[tool.poetry.group.dev.dependencies]
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