[2024080709] 肖佳婷 - 数字调制解调实验提交

[XJT-ing]

完成情况

• 任务1: BPSK调制
• 任务2: QPSK调制
• 任务3: 16-QAM调制
• 结果图已生成并提交

说明

已完成数字调制解调实验代码实现，并提交了实验结果图。
使用 AI 助手进行了辅助编程与调试。

[github-actions]

🤖 自动评分结果

提交者: @XJT-ing

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数字调制解调实验 - 自动评分系统
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1️⃣  环境配置测试 (5分)
  ✅ 环境测试通过: +5分

2️⃣  BPSK调制测试 (25分)
  通过测试: 0/1
  得分: 0/25

3️⃣  QPSK调制测试 (25分)
  通过测试: 0/1
  得分: 0/25

4️⃣  16-QAM调制测试 (20分)
  通过测试: 0/1
  得分: 0/20

5️⃣  实验报告检查 (15分)
  报告得分: 0/15

6️⃣  代码质量检查 (pylint)
  ⚠️ 代码质量一般 (6.53/10): 0分

7️⃣  选做任务加分
  ✅ 解调功能已实现: +10分

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总分: 15/100
等级: F (不及格)
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详细评分报告已保存到: grade_report.json

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📊 详细测试结果

点击查看BPSK测试详情

============================= test session starts ==============================
platform linux -- Python 3.11.15, pytest-9.0.3, pluggy-1.6.0 -- /opt/hostedtoolcache/Python/3.11.15/x64/bin/python
cachedir: .pytest_cache
rootdir: /home/runner/work/wireless-modulation-experiment/wireless-modulation-experiment
plugins: cov-7.1.0
collecting ... collected 7 items

grading/test_bpsk.py::TestBPSK::test_basic_mapping PASSED                [ 14%]
grading/test_bpsk.py::TestBPSK::test_all_zeros PASSED                    [ 28%]
grading/test_bpsk.py::TestBPSK::test_all_ones PASSED                     [ 42%]
grading/test_bpsk.py::TestBPSK::test_symbol_values PASSED                [ 57%]
grading/test_bpsk.py::TestBPSK::test_random_sequence PASSED              [ 71%]
grading/test_bpsk.py::TestBPSK::test_large_sequence PASSED               [ 85%]
grading/test_bpsk.py::test_constellation_file_exists PASSED              [100%]

============================== 7 passed in 0.45s ===============================

点击查看QPSK测试详情

============================= test session starts ==============================
platform linux -- Python 3.11.15, pytest-9.0.3, pluggy-1.6.0 -- /opt/hostedtoolcache/Python/3.11.15/x64/bin/python
cachedir: .pytest_cache
rootdir: /home/runner/work/wireless-modulation-experiment/wireless-modulation-experiment
plugins: cov-7.1.0
collecting ... collected 9 items

grading/test_qpsk.py::TestQPSK::test_input_length_validation PASSED      [ 11%]
grading/test_qpsk.py::TestQPSK::test_output_length PASSED                [ 22%]
grading/test_qpsk.py::TestQPSK::test_gray_code_mapping PASSED            [ 33%]
grading/test_qpsk.py::TestQPSK::test_unit_energy PASSED                  [ 44%]
grading/test_qpsk.py::TestQPSK::test_four_constellation_points PASSED    [ 55%]
grading/test_qpsk.py::TestQPSK::test_phase_distribution PASSED           [ 66%]
grading/test_qpsk.py::TestQPSK::test_average_power PASSED                [ 77%]
grading/test_qpsk.py::TestQPSK::test_consecutive_pairs PASSED            [ 88%]
grading/test_qpsk.py::test_constellation_file_exists PASSED              [100%]

============================== 9 passed in 0.42s ===============================

点击查看16-QAM测试详情

============================= test session starts ==============================
platform linux -- Python 3.11.15, pytest-9.0.3, pluggy-1.6.0 -- /opt/hostedtoolcache/Python/3.11.15/x64/bin/python
cachedir: .pytest_cache
rootdir: /home/runner/work/wireless-modulation-experiment/wireless-modulation-experiment
plugins: cov-7.1.0
collecting ... collected 9 items

grading/test_qam16.py::TestQAM16::test_input_length_validation PASSED    [ 11%]
grading/test_qam16.py::TestQAM16::test_output_length PASSED              [ 22%]
grading/test_qam16.py::TestQAM16::test_sixteen_constellation_points PASSED [ 33%]
grading/test_qam16.py::TestQAM16::test_iq_component_values PASSED        [ 44%]
grading/test_qam16.py::TestQAM16::test_power_normalization PASSED        [ 55%]
grading/test_qam16.py::TestQAM16::test_gray_code_mapping PASSED          [ 66%]
grading/test_qam16.py::TestQAM16::test_symbol_distribution PASSED        [ 77%]
grading/test_qam16.py::TestQAM16::test_corner_points PASSED              [ 88%]
grading/test_qam16.py::test_constellation_file_exists PASSED             [100%]

============================== 9 passed in 0.43s ===============================

点击查看报告检查详情

==================================================
实验报告检查
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❌ 未找到实验报告文件 (REPORT.md)
扣分: -15分

最终报告得分: 0

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💡 提示：

• 如果测试未通过，请查看上方的详细错误信息
• 修改代码后重新提交会触发自动评分
• 完整评分报告可在 Actions 的 Artifacts 中下载

⏰ 评分时间: 2026/4/29 15:37:38