mirror of https://github.com/eyhc1/rendercv.git
finish test_data_models.py
This commit is contained in:
Sina Atalay
parent
93d9a50c1a
commit
25fabcd9e5
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@ -1,230 +1,244 @@
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import pytest
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import time_machine
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from rendercv import data_models as dm
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import pydantic
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@pytest.fixture(scope="module")
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def dummy_input():
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@pytest.fixture
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def publication_entry():
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return {
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"title": "My Title",
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"authors": ["John Doe", "Jane Doe"],
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"doi": "10.1109/TASC.2023.3340648",
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"date": "2023-12-08",
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}
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@pytest.fixture
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def experience_entry():
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return {
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"company": "CERN",
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"position": "Researcher",
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}
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@pytest.fixture
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def education_entry():
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return {
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"institution": "Boğaziçi University",
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"area": "Mechanical Engineering",
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}
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@pytest.fixture
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def normal_entry():
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return {
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"name": "My Entry",
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}
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@pytest.fixture
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def one_line_entry():
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return {
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"name": "My One Line Entry",
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"details": "My Details",
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}
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@pytest.fixture
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def text_entry():
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return "My Text Entry"
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@pytest.mark.parametrize(
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"start_date, end_date, date, expected_date_string, expected_time_span",
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[
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("2020-01-01", "2021-01-01", None, "Jan. 2020 to Jan. 2021", "1 year 1 month"),
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("2020-01-01", None, None, "Jan. 2020 to present", "4 years 1 month"),
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("2020-02-01", "present", None, "Feb. 2020 to present", "3 years 11 months"),
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("2020-01-01", "2021-01-01", "2023-02-01", "Feb. 2023", None),
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("2020", "2021", None, "2020 to 2021", "1 year"),
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("2020", None, None, "2020 to present", "4 years"),
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("2020-10-10", "2022", None, "Oct. 2020 to 2022", "2 years"),
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("2022", "2023-10-10", None, "2022 to Oct. 2023", "1 year"),
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("2020-01-01", "present", "My Custom Date", "My Custom Date", None),
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("2020-01-01", None, "My Custom Date", "My Custom Date", None),
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(None, None, "My Custom Date", "My Custom Date", None),
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(None, "2020-01-01", "My Custom Date", "My Custom Date", None),
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(None, None, None, None, None),
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],
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)
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@time_machine.travel("2024-01-01")
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def test_dates(start_date, end_date, date, expected_date_string, expected_time_span):
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entry_base = dm.EntryBase(start_date=start_date, end_date=end_date, date=date)
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assert entry_base.date_string == expected_date_string
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assert entry_base.time_span == expected_time_span
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@pytest.mark.parametrize(
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"start_date, end_date, date",
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[
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("aaa", "2021-01-01", None),
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("2020-01-01", "aaa", None),
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(None, "2020-01-01", None),
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("2023-01-01", "2021-01-01", None),
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("2999-01-01", None, None),
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("2020-01-01", "2999-01-01", None),
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("2022", "2021", None),
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("2021", "2060", None),
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],
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)
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def test_invalid_dates(start_date, end_date, date):
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with pytest.raises(pydantic.ValidationError):
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dm.EntryBase(start_date=start_date, end_date=end_date, date=date)
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@pytest.mark.parametrize(
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"url, url_text, expected_url_text",
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[
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("https://linkedin.com", None, "view on LinkedIn"),
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("https://github.com", None, "view on GitHub"),
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("https://instagram.com", None, "view on Instagram"),
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("https://youtube.com", None, "view on YouTube"),
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("https://twitter.com", "My URL Text", "My URL Text"),
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("https://google.com", None, "view on my website"),
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],
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)
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def test_url_text(url, url_text, expected_url_text):
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entry_base = dm.EntryBase(url=url, url_text=url_text)
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assert entry_base.url_text == expected_url_text
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@pytest.mark.parametrize(
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"doi, expected_doi_url",
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[
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("10.1109/TASC.2023.3340648", "https://doi.org/10.1109/TASC.2023.3340648"),
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],
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)
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def test_doi_url(publication_entry, doi, expected_doi_url):
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publication_entry["doi"] = doi
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publication_entry = dm.PublicationEntry(**publication_entry)
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assert publication_entry.doi_url == expected_doi_url
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@pytest.mark.parametrize(
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"doi",
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["aaa10.1109/TASC.2023.3340648", "aaa"],
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)
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def test_invalid_doi(publication_entry, doi):
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with pytest.raises(pydantic.ValidationError):
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publication_entry["doi"] = doi
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dm.PublicationEntry(**publication_entry)
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@pytest.mark.parametrize(
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"network, username, expected_url",
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[
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("LinkedIn", "myusername", "https://linkedin.com/in/myusername"),
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("GitHub", "myusername", "https://github.com/myusername"),
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("Instagram", "myusername", "https://instagram.com/myusername"),
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("Orcid", "myusername", "https://orcid.org/myusername"),
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],
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)
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def test_social_network_url(network, username, expected_url):
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social_network = dm.SocialNetwork(network=network, username=username)
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assert str(social_network.url) == expected_url
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@pytest.mark.parametrize(
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"title, default_entry",
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[
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("Education", "education_entry"),
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("Experience", "experience_entry"),
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("Work Experience", "experience_entry"),
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("Research Experience", "experience_entry"),
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("Publications", "publication_entry"),
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("Papers", "publication_entry"),
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("Projects", "normal_entry"),
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("Academic Projects", "normal_entry"),
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("University Projects", "normal_entry"),
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("Personal Projects", "normal_entry"),
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("Certificates", "normal_entry"),
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("Extracurricular Activities", "experience_entry"),
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("Test Scores", "one_line_entry"),
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("Skills", "one_line_entry"),
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("programming_skills", "normal_entry"),
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("other_skills", "one_line_entry"),
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("Awards", "one_line_entry"),
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("Interests", "one_line_entry"),
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("Summary", "text_entry"),
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],
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)
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def test_sections_with_default_types(
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education_entry,
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experience_entry,
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publication_entry,
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normal_entry,
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one_line_entry,
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text_entry,
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title,
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default_entry,
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):
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input = {
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"name": "John Doe",
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"sections": None,
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"sections": {
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title: [
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eval(default_entry),
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eval(default_entry),
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],
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},
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}
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cv = dm.CurriculumVitae(**input)
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assert len(cv.sections) == 1
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assert len(cv.sections[0].entries) == 2
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# abi burda baya bi senaryo test etmen lazim:
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# mesela section icinde title field verilmisse, title o olamli, herseyo overwrite etmeli
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# sonra siralama listede verildigi gibi olmali kesinlikle bunu da check et
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# sonra default listler alisiyo mu kesinlikle onu check etmek lazim
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# bide validation errorleri check etmek lazim
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# REPLACEWITHTODAY olayini monkeypatch ile duzelticeksin, hep statik bir tarih return etsin
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# test with other entry types:
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entries = [
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(education_entry, "EducationEntry"),
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(experience_entry, "ExperienceEntry"),
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(publication_entry, "PublicationEntry"),
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(normal_entry, "NormalEntry"),
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(one_line_entry, "OneLineEntry"),
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(text_entry, "TextEntry"),
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]
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for entry, entry_type in entries:
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input["sections"][title] = {
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"entry_type": entry_type,
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"entries": [entry, entry],
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}
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cv = dm.CurriculumVitae(**input)
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assert len(cv.sections) == 1
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assert len(cv.sections[0].entries) == 2
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def test_sections(dummy_input):
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dummy_input["sections"] = {
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"My Section 1": {
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"entry_type": "EducationEntry",
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"entries": [
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{
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"institution": "Boğaziçi University",
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"area": "Mechanical Engineering",
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}
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],
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},
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"My Section 2": {
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"entry_type": "ExperienceEntry",
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"entries": [
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{
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"company": "Apple",
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"position": "Researcher",
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}
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],
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},
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"My Section 3": {
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"entry_type": "PublicationEntry",
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"entries": [
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{
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"title": "My Title",
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"authors": ["John Doe", "Jane Doe"],
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"doi": "10.1109/TASC.2023.3340648",
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"date": "2023-12-08",
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}
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],
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},
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"my_section_4": {
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"entry_type": "NormalEntry",
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"entries": [
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{
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"name": "My Entry",
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}
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],
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},
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"my_section_5": {
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"entry_type": "OneLineEntry",
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"entries": [
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{
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"name": "My One Line Entry",
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"details": "My Details",
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}
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],
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},
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"my_section_6": {
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"entry_type": "TextEntry",
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"entries": ["My Text Entry"],
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},
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"Education": [
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{
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"institution": "Boğaziçi University",
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"area": "Mechanical Engineering",
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}
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],
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"Experience": [
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{
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"company": "Apple",
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"position": "Researcher",
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}
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],
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"Work Experience": [
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{
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"company": "Apple",
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"position": "Researcher",
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}
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],
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"Research Experience": [
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{
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"company": "Apple",
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"position": "Researcher",
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}
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],
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"Publications": [
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{
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"title": "My Title",
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"authors": ["John Doe", "Jane Doe"],
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"doi": "10.1109/TASC.2023.3340648",
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"date": "2023-12-08",
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}
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],
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"Papers": [
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{
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"title": "My Title",
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"authors": ["John Doe", "Jane Doe"],
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"doi": "10.1109/TASC.2023.3340648",
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"date": "2023-12-08",
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}
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],
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"Projects": [
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{
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"name": "My Entry",
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}
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],
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"Academic Projects": [
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{
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"name": "My Entry",
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}
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],
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"University Projects": [
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{
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"name": "My Entry",
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}
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],
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"Personal Projects": [
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{
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"name": "My Entry",
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}
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],
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"Certificates": [
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{
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"name": "My Entry",
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}
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],
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"Extracurricular Activities": [
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{
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"company": "Apple",
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"position": "Researcher",
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}
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],
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"Test Scores": [
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{
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"name": "My One Line Entry",
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"details": "My Details",
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}
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],
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"Skills": [
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{
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"name": "My One Line Entry",
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"details": "My Details",
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}
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],
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"Programming Skills": [
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{
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"name": "My Entry",
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}
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],
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"Other Skills": [
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{
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"name": "My One Line Entry",
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"details": "My Details",
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}
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],
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"Awards": [
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{
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"name": "My One Line Entry",
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"details": "My Details",
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}
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],
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"Interests": [
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{
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"name": "My One Line Entry",
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"details": "My Details",
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}
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],
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"Summary": ["My Text Entry"],
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}
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def test_sections_without_default_types(
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education_entry,
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experience_entry,
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publication_entry,
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normal_entry,
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one_line_entry,
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text_entry,
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):
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input = {"name": "John Doe", "sections": dict()}
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entries = [
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(education_entry, "EducationEntry"),
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(experience_entry, "ExperienceEntry"),
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(publication_entry, "PublicationEntry"),
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(normal_entry, "NormalEntry"),
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(one_line_entry, "OneLineEntry"),
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(text_entry, "TextEntry"),
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]
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for i, (entry, entry_type) in enumerate(entries):
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input["sections"][f"My Section {i}"] = {
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"entry_type": entry_type,
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"entries": [entry, entry],
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}
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cv = dm.CurriculumVitae(**dummy_input)
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assert len(cv.sections) == 22
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titles = [section.title for section in cv.sections]
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for key in dummy_input["sections"]:
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assert key in titles
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def test_education_entry(dummy_input):
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dummy_input["sections"] = {
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"My Section": [
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{
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"entry_type": "EducationEntry",
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"entries": [
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{
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"institution": "Boğaziçi University",
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"start_date": "2019-01-01",
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"end_date": "2020-01-01",
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"area": "Mechanical Engineering",
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}
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],
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}
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]
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}
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cv = dm.CurriculumVitae(**dummy_input)
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assert cv.sections[0].title == "My Section"
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assert len(cv.sections[0].entries) == 1
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def test_experience_entry(dummy_input):
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dummy_input["sections"] = {
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"My Section": [
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{
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"entry_type": "ExperienceEntry",
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"entries": [
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{
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"company": "CERN",
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"start_date": "2019-01-01",
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"end_date": "2020-01-01",
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"position": "Researcher",
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}
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],
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}
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]
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}
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cv = dm.CurriculumVitae(**dummy_input)
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assert cv.sections[0].title == "My Section"
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assert len(cv.sections[0].entries) == 1
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cv = dm.CurriculumVitae(**input)
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assert len(cv.sections) == len(entries)
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for i, entry in enumerate(entries):
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assert len(cv.sections[i].entries) == 2
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