At what point is it better to write tests? In general, there are three approaches:
- Write tests after your code
- Write tests while you're writing your code
- Write tests before you write code
In this lesson, we'll figure out the features of each approach.
Testing after code
In some situations, there isn't much choice. For example, in system testing, tests should simulate user behavior and perform actions in the browser. We write these tests after the code. The programmer can choose from the options above in integration, unit, and other low-level tests.
Testing before code
The tests-after-code approach is one of the less useful ones. Let's figure out why this is so. The very process of writing code involves constantly running the code and checking that it works. In the simplest tasks, the program can run quite quickly:
Preparing data to check the code can take dozens of minutes in real-life code. Moreover, the results produced after testing the code may be quite complex, for example, many records in a database or a complex structure.
The code test runs turn into a whole adventure:
It is where writing tests before code comes into play. For many novice developers, this phrase causes a bit of a stupor. How can we write tests before the code? It turns out you can.
Suppose we want to write a function that repeats a string passed to it a specified number of times:
We know two important things:
Knowing this means we can already write tests:
An experienced developer can write this code in 15–20 seconds. But to check that this code runs, we need to type poetry run pytest in the console.
Testing before writing code has another advantage — it forces the programmer to think not about the code but about the design of their solution. It pushes the programmer to think about how people will use their application. It is a way to create competent interfaces and is often the key to success.
Testing during code
In the development world, there is an approach in which we write tests before the code. It's called Test-Driven Development:
According to the inventors, development through testing implies that the entire development process consists of a repeating cycle:
- Programmers write a test for each iteration
- They see that the test doesn't pass
- They add code that satisfies this test
Rinse and repeat. As a result, we build the application step by step.
Thanks to it gaining traction, everyone is talking about this method. In it, we write tests for all parts of the code with maximum detail. This kind of TDD aims towards the importance of design but focuses on specific functions and classes in the application instead of the whole picture.
But there is another approach to TDD, where developers rarely write tests for internal parts. You can read more about this in the article in the additional materials.
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<div id="app" data-page="{"component":"web/courses/lessons/theory_unit","props":{"errors":{},"locale":"en","language":"en","httpsHost":"https://hexlet.io","host":"hexlet.io","colorScheme":"light","auth":{"user":{"id":null,"last_viewed_notification_id":null,"email":null,"state":null,"first_name":"","last_name":"","current_program":null,"current_team":null,"full_name":"","guest":true,"can_use_paid_features":false,"is_hexlet_employee":false,"sanitized_phone_number":"","can_subscribe":true,"can_renew_education":false}},"cloudflareTurnstileSiteKey":"0x4AAAAAAA15KmeFXzd2H0Xo","vkIdClientId":"51586979","yandexIdClientId":null,"formAuthToken":"qztf_voa_4h604IXDAipEcOtP2dLgyAp6yIhhC4uyfT4_TLI23HEaB3Zff--lp7QzwexPIedOiVJp-uXY_IWLw","topics":[],"lesson":{"exercise":null,"units":[{"id":9098,"name":"theory","url":"/courses/python-testing/lessons/tdd/theory_unit"}],"links":[],"ordered_units":[{"id":9098,"name":"theory","url":"/courses/python-testing/lessons/tdd/theory_unit"}],"id":4066,"slug":"tdd","state":"approved","name":"Development through testing","course_order":500,"goal":"Learning to write tests before writing the code","self_study":null,"theory_video_provider":null,"theory_video_uid":null,"theory":"At what point is it better to write tests? In general, there are three approaches:\n\n* Write tests after your code\n* Write tests while you're writing your code\n* Write tests before you write code\n\nIn this lesson, we'll figure out the features of each approach.\n\n## Testing after code\n\nIn some situations, there isn't much choice. For example, in system testing, tests should simulate user behavior and perform actions in the browser. We write these tests after the code. The programmer can choose from the options above in integration, unit, and other low-level tests.\n\n## Testing before code\n\nThe tests-after-code approach is one of the less useful ones. Let's figure out why this is so. The very process of writing code involves constantly running the code and checking that it works. In the simplest tasks, the program can run quite quickly:\n\n```python\n# Its is easy to run and to check results\ncapitalize('hello') # Hello\n```\n\nPreparing data to check the code can take dozens of minutes in real-life code. Moreover, the results produced after testing the code may be quite complex, for example, many records in a database or a complex structure.\n\nThe code test runs turn into a whole adventure:\n\n```python\n# It is difficult to prepare data and check the result of the work\n# Loading goods from 1C into the database\nload_goods_from_1c()\n```\n\nIt is where writing tests before code comes into play. For many novice developers, this phrase causes a bit of a stupor. How can we write tests before the code? It turns out you can.\n\nSuppose we want to write a function that repeats a string passed to it a specified number of times:\n\n```python\nrepeat('$', 3) # $$$\n```\n\nWe know two important things:\n\n* What is a [pure function](https://en.wikipedia.org/wiki/Pure_function)\n* What does this function take as input\n\nKnowing this means we can already write tests:\n\n```python\ndef test_repeat():\n assert repeat('$', 3) == '$$$'\n```\n\nAn experienced developer can write this code in 15–20 seconds. But to check that this code runs, we need to type `poetry run pytest` in the console.\n\nTesting before writing code has another advantage — it forces the programmer to think not about the code but about the design of their solution. It pushes the programmer to think about how people will use their application. 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They cover most of the system and check whether the modules work together. Programmers pay the most amount of attention to these tests. Integration tests are still easy to write if you prepare the ecosystem\n* **System tests**. These are the most effective tests but are also challenging to write and maintain. They emulate user behavior, such as clicking on links and sending forms. These tests often fail because they rely on site layout, which can change unpredictably. Even with this kind of testing, it's impossible to determine when, from the program's perspective, one action ended and another began\n\nDespite the differences, all automated tests lean on the same principles and often use the same tools. This course introduces the general principles of testing and takes you step by step through all the tasks that arise during testing. We'll touch on the following main topics during the course:\n\n* Asserts\n* Testing Frameworks (Pytest)\n* Unit testing\n* Covering code with tests\n* Test-driven development (TDD)\n\n## How to prepare for this course\n\nTesting is an integral part of the development process. To start studying this topic, you need to master the basic syntax of the programming language, working with collections and functions. You should review the fundamentals of setting up the Python environment and modularity again. We cover these topics in detail in the following courses:\n\n* [Python Basics](https://hexlet.io/courses/python-basics)\n* [Lists](https://hexlet.io/courses/python-lists)\n* [Dictionaries](https://hexlet.io/courses/python-dicts)\n\n<!--* [Functions](https://ru.hexlet.io/courses/python-functions)\n* [Setting up the environment](https://ru.hexlet.io/courses/python-setup-environment)\n\nThe correct order of courses can be found in the profession [Python developer](https://ru.hexlet.io/programs/python).-->\n"},"id":365,"slug":"python-testing","challenges_count":0,"name":"Python: Automated testing","allow_indexing":true,"state":"approved","course_state":"finished","pricing_type":"paid","description":"This course introduces you to the principles and tools of automated testing in Python. You will learn to write automated tests, measure coverage, and set continuous integration. The skills you learn in this course will help you improve the quality of your code. 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__m__-_R_rdub_"><style data-mantine-styles="inline">.__m__-_R_6qrdub_{margin-top:0rem;padding-inline:var(--mantine-spacing-xs);width:100%;}@media(min-width: 48em){.__m__-_R_6qrdub_{margin-top:var(--mantine-spacing-xl);width:80%;}}@media(min-width: 62em){.__m__-_R_6qrdub_{padding-inline:var(--mantine-spacing-xl);}}</style><div style="margin-inline:auto;max-width:var(--mantine-breakpoint-xl)" class="__m__-_R_6qrdub_"><div style="color:var(--mantine-color-dimmed)" class="m_4451eb3a mantine-Center-root" data-inline="true"><div style="--ti-size:var(--ti-size-xs);--ti-bg:transparent;--ti-color:var(--mantine-color-indigo-light-color);--ti-bd:calc(0.0625rem * var(--mantine-scale)) solid transparent;margin-inline-end:calc(0.125rem * var(--mantine-scale));color:inherit" class="m_7341320d mantine-ThemeIcon-root" data-variant="transparent" data-size="xs"><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-lock "><path d="M5 13a2 2 0 0 1 2 -2h10a2 2 0 0 1 2 2v6a2 2 0 0 1 -2 2h-10a2 2 0 0 1 -2 -2v-6"></path><path d="M11 16a1 1 0 1 0 2 0a1 1 0 0 0 -2 0"></path><path d="M8 11v-4a4 4 0 1 1 8 0v4"></path></svg></div><p style="font-size:var(--mantine-font-size-sm)" class="mantine-focus-auto m_b6d8b162 mantine-Text-root">Python: Automated testing</p></div><h1 style="--title-fw:var(--mantine-h1-font-weight);--title-lh:var(--mantine-h1-line-height);--title-fz:var(--mantine-h1-font-size);margin-bottom:var(--mantine-spacing-xl)" class="m_8a5d1357 mantine-Title-root" data-order="1">Theory: Development through testing</h1><script type="application/ld+json">{"@context":"https://schema.org","@type":"LearningResource","name":"Development through testing","inLanguage":"en","isPartOf":{"@type":"LearningResource","name":"Python: Automated testing"},"isAccessibleForFree":"False","hasPart":{"@type":"WebPageElement","isAccessibleForFree":"False","cssSelector":".paywalled"}}</script><div class=""><div style="--alert-color:var(--mantine-color-indigo-light-color);margin-bottom:var(--mantine-spacing-lg);font-size:var(--mantine-font-size-lg)" class="m_66836ed3 mantine-Alert-root" id="mantine-_R_remqrdub_" role="alert" aria-describedby="mantine-_R_remqrdub_-body" aria-labelledby="mantine-_R_remqrdub_-title"><div class="m_a5d60502 mantine-Alert-wrapper"><div class="m_667f2a6a mantine-Alert-icon"><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-rocket "><path d="M4 13a8 8 0 0 1 7 7a6 6 0 0 0 3 -5a9 9 0 0 0 6 -8a3 3 0 0 0 -3 -3a9 9 0 0 0 -8 6a6 6 0 0 0 -5 3"></path><path d="M7 14a6 6 0 0 0 -3 6a6 6 0 0 0 6 -3"></path><path d="M14 9a1 1 0 1 0 2 0a1 1 0 1 0 -2 0"></path></svg></div><div class="m_667c2793 mantine-Alert-body"><div class="m_6a03f287 mantine-Alert-title"><span id="mantine-_R_remqrdub_-title" class="m_698f4f23 mantine-Alert-label">Full access to materials</span></div><div id="mantine-_R_remqrdub_-body" class="m_7fa78076 mantine-Alert-message"><div style="--group-gap:var(--mantine-spacing-md);--group-align:center;--group-justify:space-between;--group-wrap:wrap" class="m_4081bf90 mantine-Group-root"><p class="mantine-focus-auto m_b6d8b162 mantine-Text-root">Sign up and get access to this and dozens of other courses</p><a style="--button-height:var(--button-height-xs);--button-padding-x:var(--button-padding-x-xs);--button-fz:var(--mantine-font-size-xs);--button-bg:linear-gradient(45deg, var(--mantine-color-blue-filled) 0%, var(--mantine-color-cyan-filled) 100%);--button-hover:linear-gradient(45deg, var(--mantine-color-blue-filled) 0%, var(--mantine-color-cyan-filled) 100%);--button-color:var(--mantine-color-white);--button-bd:none" class="mantine-focus-auto mantine-active m_77c9d27d mantine-Button-root m_87cf2631 mantine-UnstyledButton-root" data-variant="gradient" data-size="xs" href="/u/new"><span class="m_80f1301b mantine-Button-inner"><span class="m_811560b9 mantine-Button-label">Sign up</span></span></a></div></div></div></div></div><div class="paywalled m_d08caa0 mantine-Typography-root"><p>At what point is it better to write tests? In general, there are three approaches:</p>
<ul>
<li>Write tests after your code</li>
<li>Write tests while you're writing your code</li>
<li>Write tests before you write code</li>
</ul>
<p>In this lesson, we'll figure out the features of each approach.</p>
<h2 id="heading-2-1">Testing after code</h2>
<p>In some situations, there isn't much choice. For example, in system testing, tests should simulate user behavior and perform actions in the browser. We write these tests after the code. The programmer can choose from the options above in integration, unit, and other low-level tests.</p>
<h2 id="heading-2-2">Testing before code</h2>
<p>The tests-after-code approach is one of the less useful ones. Let's figure out why this is so. The very process of writing code involves constantly running the code and checking that it works. In the simplest tasks, the program can run quite quickly:</p>
<div style="margin-bottom:var(--mantine-spacing-lg)" class="m_e597c321 mantine-CodeHighlight-codeHighlight" dir="ltr"><div class="m_be7e9c9c mantine-CodeHighlight-controls"><button style="--ai-bg:transparent;--ai-hover:transparent;--ai-color:inherit;--ai-bd:none" class="mantine-focus-auto mantine-active m_d498bab7 mantine-CodeHighlight-control m_8d3f4000 mantine-ActionIcon-root m_87cf2631 mantine-UnstyledButton-root" data-variant="none" type="button" aria-label="Copy code"><span class="m_8d3afb97 mantine-ActionIcon-icon"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M8 8m0 2a2 2 0 0 1 2 -2h8a2 2 0 0 1 2 2v8a2 2 0 0 1 -2 2h-8a2 2 0 0 1 -2 -2z"></path><path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2"></path></svg></span></button></div><div style="--scrollarea-scrollbar-size:calc(0.25rem * var(--mantine-scale));--sa-corner-width:0px;--sa-corner-height:0px" class="m_f744fd40 mantine-CodeHighlight-scrollarea m_d57069b5 mantine-ScrollArea-root" dir="ltr"><div style="overflow-x:hidden;overflow-y:hidden;overscroll-behavior-inline:none" class="m_c0783ff9 mantine-ScrollArea-viewport" data-scrollbars="xy"><div class="m_b1336c6 mantine-ScrollArea-content"><pre class="m_2c47c4fd mantine-CodeHighlight-pre" style="padding:0"><code class="m_5caae6d3 mantine-CodeHighlight-code"># Its is easy to run and to check results
capitalize('hello') # Hello</code></pre></div></div></div><button class="mantine-focus-auto m_c9378bc2 mantine-CodeHighlight-showCodeButton m_87cf2631 mantine-UnstyledButton-root" data-hidden="true" type="button">Expand code</button></div>
<p>Preparing data to check the code can take dozens of minutes in real-life code. Moreover, the results produced after testing the code may be quite complex, for example, many records in a database or a complex structure.</p>
<p>The code test runs turn into a whole adventure:</p>
<div style="margin-bottom:var(--mantine-spacing-lg)" class="m_e597c321 mantine-CodeHighlight-codeHighlight" dir="ltr"><div class="m_be7e9c9c mantine-CodeHighlight-controls"><button style="--ai-bg:transparent;--ai-hover:transparent;--ai-color:inherit;--ai-bd:none" class="mantine-focus-auto mantine-active m_d498bab7 mantine-CodeHighlight-control m_8d3f4000 mantine-ActionIcon-root m_87cf2631 mantine-UnstyledButton-root" data-variant="none" type="button" aria-label="Copy code"><span class="m_8d3afb97 mantine-ActionIcon-icon"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M8 8m0 2a2 2 0 0 1 2 -2h8a2 2 0 0 1 2 2v8a2 2 0 0 1 -2 2h-8a2 2 0 0 1 -2 -2z"></path><path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2"></path></svg></span></button></div><div style="--scrollarea-scrollbar-size:calc(0.25rem * var(--mantine-scale));--sa-corner-width:0px;--sa-corner-height:0px" class="m_f744fd40 mantine-CodeHighlight-scrollarea m_d57069b5 mantine-ScrollArea-root" dir="ltr"><div style="overflow-x:hidden;overflow-y:hidden;overscroll-behavior-inline:none" class="m_c0783ff9 mantine-ScrollArea-viewport" data-scrollbars="xy"><div class="m_b1336c6 mantine-ScrollArea-content"><pre class="m_2c47c4fd mantine-CodeHighlight-pre" style="padding:0"><code class="m_5caae6d3 mantine-CodeHighlight-code"># It is difficult to prepare data and check the result of the work
# Loading goods from 1C into the database
load_goods_from_1c()</code></pre></div></div></div><button class="mantine-focus-auto m_c9378bc2 mantine-CodeHighlight-showCodeButton m_87cf2631 mantine-UnstyledButton-root" data-hidden="true" type="button">Expand code</button></div>
<p>It is where writing tests before code comes into play. For many novice developers, this phrase causes a bit of a stupor. How can we write tests before the code? It turns out you can.</p>
<p>Suppose we want to write a function that repeats a string passed to it a specified number of times:</p>
<div style="margin-bottom:var(--mantine-spacing-lg)" class="m_e597c321 mantine-CodeHighlight-codeHighlight" dir="ltr"><div class="m_be7e9c9c mantine-CodeHighlight-controls"><button style="--ai-bg:transparent;--ai-hover:transparent;--ai-color:inherit;--ai-bd:none" class="mantine-focus-auto mantine-active m_d498bab7 mantine-CodeHighlight-control m_8d3f4000 mantine-ActionIcon-root m_87cf2631 mantine-UnstyledButton-root" data-variant="none" type="button" aria-label="Copy code"><span class="m_8d3afb97 mantine-ActionIcon-icon"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M8 8m0 2a2 2 0 0 1 2 -2h8a2 2 0 0 1 2 2v8a2 2 0 0 1 -2 2h-8a2 2 0 0 1 -2 -2z"></path><path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2"></path></svg></span></button></div><div style="--scrollarea-scrollbar-size:calc(0.25rem * var(--mantine-scale));--sa-corner-width:0px;--sa-corner-height:0px" class="m_f744fd40 mantine-CodeHighlight-scrollarea m_d57069b5 mantine-ScrollArea-root" dir="ltr"><div style="overflow-x:hidden;overflow-y:hidden;overscroll-behavior-inline:none" class="m_c0783ff9 mantine-ScrollArea-viewport" data-scrollbars="xy"><div class="m_b1336c6 mantine-ScrollArea-content"><pre class="m_2c47c4fd mantine-CodeHighlight-pre" style="padding:0"><code class="m_5caae6d3 mantine-CodeHighlight-code">repeat('$', 3) # $$$</code></pre></div></div></div><button class="mantine-focus-auto m_c9378bc2 mantine-CodeHighlight-showCodeButton m_87cf2631 mantine-UnstyledButton-root" data-hidden="true" type="button">Expand code</button></div>
<p>We know two important things:</p>
<ul>
<li>What is a <a style="text-decoration:underline" class="mantine-focus-auto m_849cf0da m_b6d8b162 mantine-Text-root mantine-Anchor-root" data-underline="hover" href="https://en.wikipedia.org/wiki/Pure_function" rel="noopener noreferrer" target="_blank">pure function</a></li>
<li>What does this function take as input</li>
</ul>
<p>Knowing this means we can already write tests:</p>
<div style="margin-bottom:var(--mantine-spacing-lg)" class="m_e597c321 mantine-CodeHighlight-codeHighlight" dir="ltr"><div class="m_be7e9c9c mantine-CodeHighlight-controls"><button style="--ai-bg:transparent;--ai-hover:transparent;--ai-color:inherit;--ai-bd:none" class="mantine-focus-auto mantine-active m_d498bab7 mantine-CodeHighlight-control m_8d3f4000 mantine-ActionIcon-root m_87cf2631 mantine-UnstyledButton-root" data-variant="none" type="button" aria-label="Copy code"><span class="m_8d3afb97 mantine-ActionIcon-icon"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M8 8m0 2a2 2 0 0 1 2 -2h8a2 2 0 0 1 2 2v8a2 2 0 0 1 -2 2h-8a2 2 0 0 1 -2 -2z"></path><path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2"></path></svg></span></button></div><div style="--scrollarea-scrollbar-size:calc(0.25rem * var(--mantine-scale));--sa-corner-width:0px;--sa-corner-height:0px" class="m_f744fd40 mantine-CodeHighlight-scrollarea m_d57069b5 mantine-ScrollArea-root" dir="ltr"><div style="overflow-x:hidden;overflow-y:hidden;overscroll-behavior-inline:none" class="m_c0783ff9 mantine-ScrollArea-viewport" data-scrollbars="xy"><div class="m_b1336c6 mantine-ScrollArea-content"><pre class="m_2c47c4fd mantine-CodeHighlight-pre" style="padding:0"><code class="m_5caae6d3 mantine-CodeHighlight-code">def test_repeat():
assert repeat('$', 3) == '$$$'</code></pre></div></div></div><button class="mantine-focus-auto m_c9378bc2 mantine-CodeHighlight-showCodeButton m_87cf2631 mantine-UnstyledButton-root" data-hidden="true" type="button">Expand code</button></div>
<p>An experienced developer can write this code in 15–20 seconds. But to check that this code runs, we need to type <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">poetry run pytest</code> in the console.</p>
<p>Testing before writing code has another advantage — it forces the programmer to think not about the code but about the design of their solution. It pushes the programmer to think about how people will use their application. It is a way to create competent interfaces and is often the key to success.</p>
<h2 id="heading-2-3">Testing during code</h2>
<p>In the development world, there is an approach in which we write tests before the code. It's called <strong>Test-Driven Development</strong>:</p>
<p><img style="--image-object-fit:contain;width:auto" class="m_9e117634 mantine-Image-root" src="/rails/active_storage/blobs/proxy/eyJfcmFpbHMiOnsiZGF0YSI6NzY0MCwicHVyIjoiYmxvYl9pZCJ9fQ==--b65aadde902e7b4d860d4e26bb47ec71cf09d1dc/tdd.png" alt="Development through Testing" loading="lazy"/></p>
<p>According to the inventors, development through testing implies that the entire development process consists of a repeating cycle:</p>
<ul>
<li>Programmers write a test for each iteration</li>
<li>They see that the test doesn't pass</li>
<li>They add code that satisfies this test</li>
</ul>
<p>Rinse and repeat. As a result, we build the application step by step.</p>
<p>Thanks to it gaining traction, everyone is talking about this method. In it, we write tests for all parts of the code with maximum detail. This kind of TDD aims towards the importance of design but focuses on specific functions and classes in the application instead of the whole picture.</p>
<p>But there is another approach to TDD, where developers rarely write tests for internal parts. 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