benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf a7d62ae9-7f46-5ba5-a893-730d83eed460
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import random
import string
import hashlib
import time
def task_func(data_dict: dict, seed=0) -> dict:
"""
Process the given dictionary by performing the following operations:
1. Add a key "a" with a value of 1.
2. Generate a random salt of length 5 using lowercase ASCII letters.
3. For each key-value pair in the dictionary, concatenate the value with the generated salt,
hash the concatenated string using SHA-256, and update the value with the hashed string.
4. Add a 'timestamp' key with the current UNIX timestamp as its value.
Parameters:
data_dict (dict): The dictionary to be processed. Values should be string-convertible.
seed (int, Optional): Seed value for the random number generator. Defaults to 0.
Returns:
dict: The processed dictionary with the hashed values and added keys.
Requirements:
- Uses the random, string, hashlib, and time libraries.
Example:
>>> task_func({'key': 'value'})["key"]
'8691a011016e0fba3c2b0b8a26e4c9c722975f1defe42f580ab55a9c97dfccf8'
"""
instruct prompt
Process the given dictionary by performing the following operations: 1. Add a key "a" with a value of 1. 2. Generate a random salt of length 5 using lowercase ASCII letters. 3. For each key-value pair in the dictionary, concatenate the value with the generated salt, hash the concatenated string using SHA-256, and update the value with the hashed string. 4. Add a 'timestamp' key with the current UNIX timestamp as its value.
The function should output with:
dict: The processed dictionary with the hashed values and added keys.
You should write self-contained code starting with:
Code
import random
import string
import hashlib
import time
def task_func(data_dict: dict, seed=0) -> dict:
code prompt
Code
import random
import string
import hashlib
import time
def task_func(data_dict: dict, seed=0) -> dict:
entry point
task_func
libs
- hashlib
- random
- string
- time
Discussion
No discussion posts on this page yet. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.
See answer Answer published by the source
Artifacts
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Source and history
- task_id
a7d62ae9-7f46-5ba5-a893-730d83eed460- task_key
default--v0~2e1~2e0~5fhf--a7d62ae9-7f46-5ba5-a893-730d83eed460- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import