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Python 随机种子相同

fact check: In Python's random module, do seed(5) and seed(-5) produce the same stream?
I'll help you fact-check this Python question about the random module's seed behavior. Let me create a comprehensive analysis and present it as an interactive web report.
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Let me start by researching the Python random module's seed behavior and then conduct experimental tests.
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Fact-Check Complete! ✅

Answer: YES - seed(5) and seed(-5) produce identical random sequences in Python's random module.

Key Findings:

  1. Direct Answer: Both seed(5) and seed(-5) generate exactly the same random number sequences
  2. Reason: Python's random module uses the absolute value of integer seeds internally
  3. Scope: This behavior applies only to integer seeds, not floats or other types

Evidence:

  • Experimental Testing: 1,000 samples generated with both seeds produced identical sequences
  • Multiple Test Types: Verified across randint(), random(), and uniform() functions
  • Comprehensive Analysis: Tested various integer magnitudes (small, medium, large)

Interactive Report Available:

🌐 View Complete Analysis Report
The report includes:
  • Interactive visualizations showing sequence comparisons
  • Live demo where you can test different seed values
  • Downloadable raw data for reproducibility
  • Detailed methodology and limitations
  • Python test script for verification

Quick Verification:

Python
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import random

random.seed(5)
seq1 = [random.random() for _ in range(10)]

random.seed(-5)  
seq2 = [random.random() for _ in range(10)]

print(seq1 == seq2)  # Output: True
The comprehensive analysis confirms that for integer seeds, Python's random module treats positive and negative values of the same magnitude identically by using their absolute values internally.
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