You can also like our facebook page Styl Media House Welcome to Ogefash’s blog (Feel free to click the follow button). I’ll provide the sacrifice (That’s what I am, say “You provide the spirit”)įill me up God (I need a fresh annointing)įill me up God (Somebody ask him to fill you)įill me up (Somebody ask him, fill me again)įill me up God (Somebody say “Fill me again”)įill me up God (Come on, somebody ask him to fill me again)įill me up (I need more of you, I need more of you) You provide the fire (I will be the sacrifice) I will open up inside (Every voice, raise it loud again, say “You provide the fire”) I’ll provide the sacrifice (I am empty before you, Lord) (You provide) You provide the fire (I’ll provide the sacrifice) It also talks about her readiness to receive fresh anointing and the spirit of God into her life Shows the artistes readiness to surrender all to God, so He can recharge her, and use her for His Glory. I’ll provide the sacrifice…You provide the spirit. Tasha declares herself empty and implores God to recharge her, fuel her spirit and pour out His fresh anointing on her so that she can be free from bondage, surmount all problems and do great exploits. She wants to have more than enough of God. She calls on God to replenish her afresh with the spirit, anointing and glory of God till she overflows. In the song “Fill me up”, Tasha Cobbs surrenders all to God. To be filled up till one overflows means to have something sufficiently in such a way that there would be no room to contain it. “Fill me up” means the desire to have something in full, jam-packed, complete sufficient. It also means to have a full supply of something. WHAT IS THE SONG “FILL ME UP” BY TASHA COBBS ABOUT On the other hand, 2^1023 is well within the representable range for a 64-bit number and can therefore be displayed accurately.You can now WhatsApp us on +2348087261006 we love to hear from you always In the case of 9007199254740993, which is larger than the largest number that can be represented using 64 bits, the computer cannot represent it exactly and therefore it is rounded to the nearest representable number. This means that the largest number that can be represented using 64 bits is 2^64 - 1, which is approximately 1.8 x 10^19. In most modern computers, numbers are represented using a fixed number of bits, typically 32 or 64 bits. Regarding your second question, the reason why a computer can display 2^1023 (8.98846567431158e+307) but not 9007199254740993 is due to the way that numbers are represented in the computer's memory. However, in practice, these approximations are usually accurate enough for most applications. This means that for numbers that require an infinite number of bits to represent exactly, such as irrational numbers like pi, the computer can only represent an approximation of the number. Modern computers use finite-precision arithmetic to perform computations, which means that they can only represent numbers with a limited number of bits. I cound not answer ur problem and look around for a bit and found this: I also recommend this explanation of floating point representation: Try clicking the 1s or 0s to see what happens when they take on different values. It currently represents 0.75 in 64-bit floating point. I find it helpful to see what happens when you change bits in a representation. If it goes above that, then the exponent can be increased instead. The key thing here is that the mantissa only ever needs to be between 1.0 and 2.0 (excluding 2). In this case, there is a 1 in the first bit, so this mantissa is 1.5. The goal is for those bits to be able to represent values between 0 and 1, which then is considered a mantissa between 1 and 2. According to the floating point standard, the first bit represents 1/2 (0.5), the second bit represents 1/4, the third bit represents 1/8, etc. 1022-1023 is -1, which is indeed the exponent. According to the floating point standard, the exponent is calculated by subtracting 1023 from that value. The next 11 bits represents the exponent -1: The first bit represents the sign, where 0 is positive. The floating point representation of 0.750 in binary needs to include the sign (positive/negative), the mantissa, and the exponent. The number -1 is called the "exponent" (as per normal math term). The number 1.5 is called either the "mantissa" or the "significand". Let's step through how the computer actually represents that number in floating point representation and see if that helps. From the author: Apologies for the confusing explanation.
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