Appearance
question:Write a sample graduate school recommendation letter for a star engineering student researcher who does research on autonomous vehicles and data science.
answer:[Your Name] [Your Title/Position] [Your Institution/Company] [Your Address] [City, State, Zip Code] [Email Address] [Phone Number] [Date] [Graduate School Admissions Committee] [University Name] [University Address] [City, State, Zip Code] Dear Members of the Admissions Committee, I am writing to enthusiastically recommend [Student's Name] for acceptance into [University Name]'s graduate program in [Field of Study]. Having served as [Student's Name]'s research supervisor and mentor, I have closely observed their exceptional abilities as an engineering student researcher specializing in autonomous vehicles and data science. Based on their impressive performance in our research laboratory, I strongly believe that [Student's Name] is well-suited for your esteemed graduate program. Throughout their undergraduate studies at [Current Institution], [Student's Name] has consistently demonstrated an outstanding passion for their research on autonomous vehicles and data science. Their dedication to tackling complex challenges in these areas was evident in their diligent approach towards obtaining practical experience and theoretical knowledge. [Student's Name]'s academic track record is exceptional, consistently ranking at the top of their class within the engineering department. As their research supervisor, I can confidently attest to [Student's Name]'s exceptional research skills and pioneering mindset. They have been a key contributor in our laboratory, working on projects involving the development and optimization of algorithms for autonomous vehicles in real-world scenarios. [Student's Name]'s ability to apply advanced data science techniques to solve complex problems has impressed not only me but also their peers and other faculty members. They possess a unique blend of analytical thinking, creative problem-solving, and technical aptitude, making them an invaluable asset to any research team focused on autonomous vehicles and data science. Apart from their technical abilities, [Student's Name] also exhibits remarkable social skills and a strong work ethic. They actively engage in collaboration with fellow researchers, demonstrating excellent communication and teamwork skills. Furthermore, [Student's Name] exhibits exceptional initiative and consistently meets project deadlines with high-quality work. Their ability to effectively manage time and resources, coupled with their commitment to producing superior research outcomes, demonstrate their potential to excel in any graduate program. Moreover, [Student's Name]'s passion for continuous learning and innovation is truly commendable. They are always exploring new avenues in engineering research, keeping up to date with recent advancements in autonomous vehicles and data science. This intellectual curiosity and drive to push boundaries have enabled [Student's Name] to propose innovative ideas and contribute to groundbreaking research in our laboratory. Given [Student's Name]'s outstanding academic achievements, strong research acumen, and admirable personal qualities, I have no reservation in recommending them for admission into [University Name]'s graduate program in [Field of Study]. I firmly believe that [Student's Name] has the potential to add great value to your program, contribute to cutting-edge research, and become a future leader in the field. Please feel free to contact me if you require any further information or have any questions. Thank you for considering [Student's Name] for admission to your esteemed graduate program. Sincerely, [Your Name] [Your Title/Position] [Your Institution/Company]
question:Summarise in 200 charaacters: Market fatigue took over core fixed income markets globally after an impressive run during the month of November. Weaker data and lower inflation prints out China and EU were largely ignored overnight. Today’s slightly lower PCE print (core +.16 unrounded) and higher continuing claims also failed to support the market as market sold off from the 8:30am data, the selloff continued after a huge beat on the Chicago PMI data (55.8 vs 46) apparently due to auto strike ending, not sure how that wasn’t already factored in by the Surveyed Economists. This took 10s to 4.363% and flattened the curve. During the session market saw good 2 way flows: CB buying 2s and 5s, HF selling 2s, 5s, 20s and 30s, and RM buying 2s, 5s, 20s and 30s. There wasn’t much of a bounce in prices into the 4pm ME indexing, but market will look to fade rallies with tight stops ahead of ISM manufacturing (10am) and Powell at 11am tomorrow. In China IG, active session given month end. Flood of front end paper coming out, baba 24 for example, widened 20 bps in the past 2 sessions. Other 2024/2025 paper also coming out, with locals less interested to buy these given tight funding. High beta stuff on the other side has been quiet. WB announced new CB, MEITUA stabilized given stock also trading okay. It also feels like with the rates move, everyone is in a rush to extend duration. Market still has some TENCNT long end to offer. Spread wise generally unchanged with front end anywhere from 10-20 bps wider. Perp also under-performed, not going higher regardless of rates move. In China HY, ETFs remain net buyers of Macau into month end, spreads grinding back to YTD tights alongside rates rally, supply into this have been RMs taking profit and cleaning up lines across, space trading 0.125-0.375pt higher on back of the passive flows. China real estate remains weak, small amount of buying in VNKRLE/LNGFOR but the best of the rest continues to grind lower on RM sellers cleaning up for next year, overall market is unch to 3pts lower as a result on thin flows. New world is quiet today, bullets continue to see selling but levels look better stabilized now on the perps as we grind back to levels lower than pre-tender offer. Industrials saw better selling overall but pressure's abated from yesterday for the most part, generally 0.5pts lower. In Sovereigns, INDON/PHIL traded 0.25-0.5pt higher. Frontiers have been a lot more active with SRILAN taking the lead. Constructive two-way flows from both ETF and RM trading 0.25-0.375pt higher in good volumes. In IG, another huge rally in rates overnight with sentiment firm. Generally better buying overnight across the IG space although there were also some sellers into the move while today flows were more muted with ETF/PB activity mostly. Malay, two-way in PETMK overnight with ETF buyers vs light RM selling today and India better buying from ETF/PB accounts. Some demand Thai space with PTTGC trading in the belly both overnight and in Asia, still small selling of Thai Banks. In HY, tone continues to be firm into close with level +0.125-0.5 higher. Sentiment remains constructive with laggard getting chased. Adani +0.25-0.375pt with demand seen in ADSEZ mid curve. Continued buying interest in ADANIG 24 seller ADANEM 30. India renewables and corporates traded unchanged to +0.5pt - OWIC seen in small size. Buyer GRNKEN 28 , CLRNPW 27. JSTLIN, JSWIN buying interest while sellers emerged in SHFLIN 25. AT1s closed the day about 0.2pt higher, marginally off the highs as treasuries gave back some ground. Nevertheless, there was underlying buying interest from asset managers and private wealth all day. It also seems like investors are starting to give up on the chance of more supply before the end of the year, which is helping secondary demand. Volumes were good, with month end flows from ETFs and asset managers prevalent. Activity mainly in SOCGEN, BNP, ACAFP, LLOYDS, HSBC, SANTAN, ISPIM, BACR, BNS, UBS and DB.
answer:Fixed income markets globally experienced market fatigue after a strong performance in November. Weaker data from China and the EU was largely ignored. The market sold off after the release of lower PCE and higher continuing claims data. During the session, there were good flows in various sectors. In China, there was a flood of front end paper, while high beta assets remained quiet. In China HY, ETFs were net buyers of Macau, while China real estate remained weak. In sovereigns, there were constructive flows in frontier markets and a rally in rates across the IG space. In AT1s, there was buying interest from asset managers and private wealth.
question:Input Handling:- Your code must handle that plaintext size is of any size not only 8 characters. If the plain text size is less than 8 characters your code should handle that by adding special characters and if the plain text size is more than 8 characters your code should also handle that by dividing plain text to blocks of size 8. Your code must handle that key size must be 8 characters by displaying error message and request another key from user. handling: - 3 marks Plain text size < 8 ( 0.5 mark Plain text size >8 ( 2 mark Key handling( 0.5 mark Key Generation 4 marks divided as follows:- 1- Permutated choice1---> 1mark 2- Left shift --> 1mark 3- Permutated choice-2 ---> 1mark 4- Repeat step 2 and 3 to generate the 16 keys---> 1 mark Encryption 8 marks divided as follows:- Initial permutation ---> 0.5 mark 2- 16 rounds-----------> 2 marks Each round (4.5 marks) divided as follows: - Expansion ---> 0.5 mark Xor (key, result of expansion) ---> 0.5 mark SBoxes ----> 2 marks Permutation -----> 0.5 mark Xor (result of permutation and left) -----> 0.5 mark Left and Right swap ---> 0.5 mark 32 bit swap------> 0.5 mark Inverse initial permutation-----> 0.5 mark
answer:To handle the input requirements, you can modify the code as follows: 1. Handling plaintext size less than 8 characters: - Check the length of the plaintext. - If the length is less than 8, add special characters to the plaintext until it reaches a length of 8. 2. Handling plaintext size more than 8 characters: - Divide the plaintext into blocks of size 8. - Process each block separately. 3. Handling key size of 8 characters: - Check the length of the key. - If the length is not 8, display an error message and request another key from the user. For key generation: 1. Permutated choice 1: - Implement the permutation logic to generate the first permuted key. 2. Left shift: - Implement the left shift operation on the key. 3. Permutated choice 2: - Implement the permutation logic to generate the 16 subkeys. 4. Repeat step 2 and 3: - Repeat the left shift and permutated choice 2 operations to generate the remaining 15 subkeys. For encryption: 1. Initial permutation: - Implement the initial permutation logic. 2. 16 rounds: - Repeat the following steps 16 times: - Expansion: Implement the expansion logic. - XOR (key, result of expansion): Perform XOR operation between the subkey and the expanded input. - S-Boxes: Implement the logic to substitute the values using the S-Boxes. - Permutation: Implement the permutation logic. - XOR (result of permutation and left): Perform XOR operation between the result of permutation and the left input. - Left and Right swap: Swap the left and right inputs. 3. 32-bit swap: - Implement the logic to swap the left and right inputs. 4. Inverse initial permutation: - Implement the inverse initial permutation logic. By implementing the above modifications, you can handle the input requirements and perform key generation and encryption accordingly.
question:اكتب الكود
answer:بالتأكيد! هنا هو كود مثالي لتنفيذ متطلبات المدخلات وعملية توليد المفاتيح والتشفير: ```python # Handling input requirements def handle_input(plaintext, key): # Handling plaintext size less than 8 characters if len(plaintext) < 8: while len(plaintext) < 8: plaintext += "@" # Handling plaintext size more than 8 characters elif len(plaintext) > 8: blocks = [] while len(plaintext) > 8: blocks.append(plaintext[:8]) plaintext = plaintext[8:] blocks.append(plaintext) # Process each block separately for block in blocks: generate_keys(block, key) else: generate_keys(plaintext, key) # Key Generation def generate_keys(plaintext, key): # Permutated choice 1 permuted_key = permutation(choice1, key) # Left shift and permutated choice 2 subkeys = [] left_shift_result = permuted_key for i in range(16): left_shift_result = left_shift(left_shift_result, shifts[i]) subkey = permutation(choice2, left_shift_result) subkeys.append(subkey) encryption(plaintext, subkeys) # Encryption def encryption(plaintext, subkeys): # Initial permutation initial_permutation_result = permutation(ip, plaintext) left_input = initial_permutation_result[:4] right_input = initial_permutation_result[4:] # 16 rounds for i in range(16): # Expansion expansion_result = expansion(expansion_table, right_input) # XOR (key, result of expansion) xor_result = xor(expansion_result, subkeys[i]) # S-Boxes sbox_result = sbox(sboxes, xor_result) # Permutation permuted_result = permutation(p, sbox_result) # XOR (result of permutation and left) xor_left_result = xor(left_input, permuted_result) # Left and Right swap left_input = right_input right_input = xor_left_result # 32-bit swap swap_result = right_input + left_input # Inverse initial permutation encrypted_result = permutation(inv_ip, swap_result) print("Encrypted result:", encrypted_result) # Example data plaintext = "Hello!" key = "secret12" # Run the code handle_input(plaintext, key) ``` يرجى ملاحظة أنني لم أوفر تنفيذ العمليات الفعلية لكل خطوة في التوليد والتشفير ولكن هذا هو هيكل عام للكود الذي يمكنك استخدامه كنقطة انطلاق لتنفيذ الخوارزمية الخاصة بك. تأكد من استكمال الأجزاء المفقودة بناءً على متطلبات المشروع الخاص بك.